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Fibonacci Time-Price Zones🟩 Fibonacci Time-Price Zones is a chart visualization tool that combines Fibonacci ratios with time-based and price-based geometry to analyze market behavior. Unlike typical Fibonacci indicators that focus solely on horizontal price levels, this indicator incorporates time into the analysis, providing a more dynamic perspective on price action. The indicator offers multiple ways to visualize Fibonacci relationships. Drawing segmented circles creates a unique perspective on price action by incorporating time into the analysis. These segmented circles, similar to TradingView's built-in Fibonacci Circles, are derived from Fibonacci time and price levels, allowing traders to identify potential turning points based on the dynamic interaction between price and time. As another distinct visualization method, the indicator incorporates orthogonal patterns, created by the intersection of horizontal and vertical Fibonacci levels. These intersections form L-shaped connections on the chart, derived from key Fibonacci price and time intervals, highlighting potential areas of support or resistance at specific points in time. In addition to these geometric approaches, another option is sloped lines, which project Fibonacci levels that account for both time and price along the trendline. These projections derive their angles from the interplay between Fibonacci price levels and Fibonacci time intervals, creating dynamic zones on the chart. The slope of these lines reflects the direction and angle of the trend, providing a visual representation of price alignment with market direction, while maintaining the time-price relationship unique to this indicator The indicator also includes horizontal Fibonacci levels similar to traditional retracement and extension tools. However, unlike standard tools, traders can display retracement levels, extension levels, or both simultaneously from a single instance of the indicator. These horizontal levels maintain consistency with the chosen visualization method, automatically scaling and adapting whether used with circles, orthogonal patterns, or slope-based analysis. By combining these distinct methods—circles, orthogonal patterns, sloped projections, and horizontal levels—the indicator provides a comprehensive approach to Fibonacci analysis based on both time and price relationships. Each visualization method offers a unique perspective on market structure while maintaining the core principle of time-price interaction. ⭕ THEORY AND CONCEPT ⭕ While traditional Fibonacci tools excel at identifying potential support and resistance levels through price-based ratios (0.236, 0.382, 0.618), they do not incorporate the dimension of time in market analysis. Extensions and retracements effectively measure price relationships within trends, yet markets move through both price and time dimensions simultaneously. Fibonacci circles represent an evolution in technical analysis by incorporating time intervals alongside price levels. Based on the mathematical principle that markets often move in circular patterns proportional to Fibonacci ratios, these circles project potential support and resistance zones as partial circles radiating from significant price points. However, traditional circle-based tools can create visual complexity that obscures key market relationships. The integration of time into Fibonacci analysis reveals how price movements often respect both temporal and price-based ratios, suggesting a deeper geometric structure to market behavior. The Fibonacci Time-Price Zones indicator advances these concepts by providing multiple geometric approaches to visualize time-price relationships. Each shape option—circles, orthogonal patterns, slopes, and horizontal levels—represents a different mathematical perspective on how Fibonacci ratios manifest across both dimensions. This multi-faceted approach allows traders to observe how price responds to Fibonacci-based zones that account for both time and price movements, potentially revealing market structure that purely price-based tools might miss. Shape Options The indicator employs four distinct geometric approaches to analyze Fibonacci relationships across time and price dimensions: Circular : Represents the cyclical nature of market movements through partial circles, where each radius is scaled by Fibonacci ratios incorporating both time and price components. This geometry suggests market movements may follow proportional circular paths from significant pivot points, reflecting the harmonic relationship between time and price. Orthogonal : Constructs L-shaped patterns that separate the time and price components of Fibonacci relationships. The horizontal component represents price levels, while the vertical component measures time intervals, allowing analysis of how these dimensions interact independently at key market points. Sloped : Projects Fibonacci levels along the prevailing trend, incorporating both time and price in the angle of projection. This approach suggests that support and resistance levels may maintain their relationship to price while adjusting to the temporal flow of the market. Horizontal : Provides traditional static Fibonacci levels that serve as a reference point for comparing price-only analysis with the dynamic time-price relationships shown in the other three shapes. This baseline approach allows traders to evaluate how the incorporation of time dimension enhances or modifies traditional Fibonacci analysis. By combining these geometric approaches, the Fibonacci Time-Price Zones indicator creates a comprehensive analytical framework that bridges traditional and advanced Fibonacci analysis. The horizontal levels serve as familiar reference points, while the dynamic elements—circular, orthogonal, and sloped projections—reveal how price action responds to temporal relationships. This multi-dimensional approach enables traders to study market structure through various geometric lenses, providing deeper insights into time-price symmetry within technical analysis. Whether applied to retracements, extensions, or trend analysis, the indicator offers a structured methodology for understanding how markets move through both price and time dimensions. 🛠️ CONFIGURATION AND SETTINGS 🛠️ The Fibonacci Time-Price Zones indicator offers a range of configurable settings to tailor its functionality and visual representation to your specific analysis needs. These options allow you to customize zone visibility, structures, horizontal lines, and other features. Important Note: The indicator's calculations are anchored to user-defined start and end points on the chart. When switching between charts with significantly different price scales (e.g., from Bitcoin at $100,000 to Silver at $30), adjustment of these anchor points is required to ensure correct positioning of the Fibonacci elements. Fibonacci Levels The indicator allows users to customize Fibonacci levels for both retracement and extension analysis. Each level can be individually configured with the following options: Visibility : Toggle the visibility of each level to focus on specific areas of interest. Level Value : Set the Fibonacci ratio for the level, such as 0.618 or 1.000, to align with your analysis needs. Color : Customize the color of each level for better visual clarity. Line Thickness : Adjust the line thickness to emphasize critical levels or maintain a cleaner chart. Setup Zone Type : Select which Fibonacci zones to display: - Retracement : Shows potential pull back levels within the trend - Extension : Projects levels beyond the trend for potential continuation targets - Both : Displays both retracement and extension zones simultaneously Shape : Choose from four visualization methods: - Circular : Time-price based semicircles centered on point B - Orthogonal : L-shaped patterns combining time and price levels - Sloped : Trend-aligned projections of Fibonacci levels - Horizontal : Traditional horizontal Fibonacci levels Visual Settings Fill % : Adjusts the fill intensity of zones: 0% : No fill between levels 100% : Maximum fill between levels Lines : Trendline : The base A-B trend with customizable color Extension : B-C projection line Retracement : B-D pullback line Labels : Points : Show/hide A, B, C, D markers Levels : Show/hide Fibonacci percentages Time-Price Points Set the time and price for the points that define the Fibonacci zones and horizontal levels. These points are defined upon loading the chart. These points can be configured directly in the settings or adjusted interactively on the live chart. A and B Points : These user-defined time and price points determine the basis for calculating the semicircles and Fibonacci levels. While the settings panel displays their exact values for fine-tuning, the easiest way to modify these points is by dragging them directly on the chart for quick adjustments. Interactive Adjustments : Any changes made to the points on the chart will automatically synchronize with the settings panel, ensuring consistency and precision. 🖼️ CHART EXAMPLES 🖼️ Fibonacci Time-Price Zones using the 'Circular' Shape option. Note the price interaction at the 0.786 level, which acts as a support zone. Additional points of interest include resistance near the 0.618 level and consolidation around the 0.5 level, highlighting the utility of both horizontal and semicircular Fibonacci projections in identifying key price areas. Fibonacci Time-Price Zones using the 'Sloped' Shape option. The chart displays price retracing along the sloped Fibonacci levels, with blue arrows highlighting potential support zones at 0.618 and 0.786, and a red arrow indicating potential resistance at the 1.0 level. This visual representation aligns with the prevailing downtrend, suggesting potential selling pressure at the 1.0 Fibonacci level. Fibonacci Time-Price Zones using the 'Orthogonal' Shape option. The chart demonstrates price action interacting with vertical zones created by the orthogonal lines at the 0.618, 0.786, and 1.0 Fibonacci levels. Blue arrows highlight potential support areas, while red arrows indicate potential resistance areas, revealing how the orthogonal lines can identify distinct points of price interaction. Fibonacci Time-Price Zones using the 'Circular' Shape option. The chart displays price action in relation to segmented circles emanating from the starting point (point A). The circles represent different Fibonacci ratios (0.382, 0.5, 0.618, 0.786) and their intersections with the price axis create potential zones of support and resistance. This approach offers a visually distinct way to analyze potential turning points based on both price and time. Fibonacci Time-Price Zones using the 'Sloped' Shape option. The sloped Fibonacci levels (0.786, 0.618, 0.5) create zones of potential support and resistance, with price finding clear interaction within these areas. The ellipses highlight this price action, particularly the support between 0.786 and 0.618, which aligns closely with the trend. Fibonacci Time-Price Zones using the 'Circular' Shape option. The price action appears to be ‘hugging’ the 0.5 Fibonacci level, suggesting potential resistance. This demonstrates how the circular zones can identify potential turning points and areas of consolidation which might not be seen with linear analysis. Fibonacci Time-Price Zones using the 'Sloped' Shape option with Point D marker enabled. The chart demonstrates clear price action closely following along the sloped Retracement line until the orthogonal intersection at the 0.618 levels where the trend is broken and price dips throughout the 0.618 to 0.786 horizontal zone. Price jumps back to the retracement slope at the start of the 0.786 horizontal zone and continues to the 1.0 horizontal zone. The aqua-colored retracement line is enabled to further emphasize this retracement slope . Geometric validation using TradingView's built-in Fibonacci Circle tool (overlaid). The alignment at the 0.5 and 1.0 levels demonstrates the indicator's consistent approximation of Fibonacci Circles. Comparison of Fibonacci Time-Price Zones (Shape: Horizontal) with TradingView's Built-in Retracement and Extension Tools (overlaid): This example demonstrates how the Horizontal structure aligns with TradingView’s retracement and extension levels, allowing users to integrate multiple tools seamlessly. The Fibonacci circle connects retracement and extension zones, highlighting the potential relationship between past retracements and future extensions. 📐 GEOMETRIC FOUNDATIONS 📐 This indicator integrates circular and straight representations of Fibonacci levels, specifically the Circular , Orthogonal , Sloped , and Horizontal shape options. The geometric principles behind these shapes differ significantly, requiring distinct scaling methods for accurate representation. The Circular shape employs logarithmic scaling with radial expansion, where the distance from a central point determines the level's position, creating partial circles that align with TradingView's built-in Fibonacci Circle tool. The other three shapes utilize geometric progression scaling for linear extension from a starting point, resulting in straight lines that align with TradingView's built-in Fibonacci retracement and extension tools. Due to these distinct geometric foundations and scaling methods, perfectly aligning both the partial circles and straight lines simultaneously is mathematically constrained, though any differences are typically visually imperceptible. The Circular shape's partial circles are calculated and scaled to align with TradingView's built-in Fibonacci Circles. These circles are plotted from the second swing point onward. This approach ensures consistent and accurate visualization across all market types, including those with gaps or closed sessions, which unlike 24/7 markets, do not have a direct one-to-one correspondence between bar indices and time. To maintain accurate geometric proportions across varying chart scales, the indicator calculates an aspect ratio by normalizing the proportional difference between vertical (price) and horizontal (time) distances of the swing points. This normalization factor ensures geometric shapes maintain their mathematical properties regardless of price scale magnitude or time period span, while maintaining the correct proportions of the geometric constructions at any chart zoom level. The indicator automatically applies the appropriate scaling factor based on the selected shape option, optimizing either circular proportions and proper radius calculations for each Fibonacci level, or straight-line relationships between Fibonacci levels. These distinct scaling approaches maintain mathematical integrity while preserving the essential characteristics of each geometric representation, ensuring optimal visualization accuracy whether using circular or linear shapes. ⚠️ DISCLAIMER ⚠️ The Fibonacci Time-Price Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating both curved and straight lines, providing a structured framework for identifying potential areas of price interaction. It is not intended as a predictive or standalone trading signal indicator. The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s Fibonacci extension, retracement, and circle tools by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods. Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. However, these visualizations are not standalone signals for trading decisions and should be interpreted as part of a broader analytical approach. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. Users are encouraged to integrate it into a comprehensive trading strategy, customizing its settings to suit their specific needs and market conditions. 🧠 BEYOND THE CODE 🧠 The Fibonacci Time-Price Zones indicator is designed to encourage both education and community engagement. By integrating time-sensitive geometry with Fibonacci-based frameworks, it bridges traditional grid-based analysis with dynamic time-price relationships. The inclusion of semicircles, horizontal levels, orthogonal structures, and sloped trends provides users with versatile tools to explore the interaction between price movements and temporal intervals while maintaining clarity and adaptability. As an open-source tool, the indicator invites exploration, experimentation, and customization. Whether used as a standalone resource or alongside other technical strategies, it serves as a practical and educational framework for understanding market structure and Fibonacci relationships in greater depth. Your feedback and contributions are essential to refining and enhancing the Fibonacci Time-Price Zones indicator. We look forward to the creative applications, adaptations, and insights this tool inspires within the trading community.
Индикатор Pine Script®
от xxattaxx
39
Bitcoin COT [SAKANE]#Overview Bitcoin COT is an indicator that visualizes Bitcoin futures market positions based on the Commitment of Traders (COT) report provided by the CFTC (Commodity Futures Trading Commission). This indicator stands out from similar tools with the following features: - Flexible Data Switching: Supports multiple COT report types, including "Financial," "Legacy," "OpenInterest," and "Force All." - Position Direction Selection: Easily switch between long, short, and net positions. Net positions are automatically calculated. - Open Interest Integration: View the overall trading volume in the market at a glance. - Comparison and Customization: Toggle individual trader types (Dealer, Asset Manager, Commercials, etc.) on and off, with visually distinct color-coded graphs. - Force All Mode: Simultaneously display data from different report types, enabling comprehensive market analysis. These features make it a powerful tool for both beginners and advanced traders to deeply analyze the Bitcoin futures market. #Use Cases 1. Analyzing Trader Sentiment - Compare net positions of various trader types (Dealer, Asset Manager, Commercials, etc.) to understand market sentiment. 2. Identifying Trend Reversals - Detect early signs of trend reversals from sudden increases or decreases in long and short positions. 3. Utilizing Open Interest - Monitor the overall trading volume represented by open interest to evaluate entry points or changes in volatility. 4. Tracking Position Structures - Compare positions of leveraged funds and asset managers to analyze risk-on or risk-off environments. #Key Features 1. Report Type Selection - Financial (Financial Traders) - Legacy (Legacy Report) - Open Interest - Force All (Display all data) 2. Position Direction Selection - Long - Short - Net 3. Visualization of Major Trader Types - Financial Traders: Dealer, Asset Manager, Leveraged Funds, Other Reportable - Legacy: Commercials, Non-Commercials, Small Speculators 4. Open Interest Visualization - Monitor the total open positions in the market. 5. Flexible Customization - Toggle individual trader types on and off. - Intuitive settings with tooltips for better usability. #How to Use 1. Add the indicator to your chart and click the settings icon in the top-right corner. 2. Select the desired report type in the "Report Type" field. 3. Choose the position direction (Long/Short/Net) in the "Direction" field. 4. Toggle the visibility of trader types as needed. #Notes - Data is provided by the CFTC and is updated weekly. It is not real-time. - Changes to the settings may take a few seconds to reflect.
Индикатор Pine Script®
от amusedMagpie26867
Weighted Fourier Transform: Spectral Gating & Main Frequency🙏🏻 This drop has 2 purposes: 1) to inform every1 who'd ever see it that Weighted Fourier Tranform does exist, while being available nowhere online, not even in papers, yet there's nothing incredibly complicated about it, and it can/should be used in certain cases; 2) to show TradingView users how they can use it now in dem endevours, to show em what spectral filtering is, and what can they do with all of it in diy mode. ... so we gonna have 2 sections in the description Section 1: Weighted Fourier Transform It's quite easy to include weights in Fourier analysis: you just premultiply each datapoint by its corresponding weight -> feed to direct Fourier Transform, and then divide by weights after inverse Fourier transform. Alternatevely, in direct transform you just multiply contributions of each data point to the real and imaginary parts of the Fourier transform by corresponding weights (in accumulation phase), and in inverse transform you divide by weights instead during the accumulation phase. Everything else stays the same just like in non-weighted version. If you're from the first target group let's say, you prolly know a thing or deux about how to code & about Fourier Transform, so you can just check lines of code to see the implementation of Weighted Discrete version of Fourier Transform, and port it to to any technology you desire. Pine Script is a developing technology that is incredibly comfortable in use for quant-related tasks and anything involving time series in general. While also using Python for research and C++ for development, every time I can do what I want in Pine Script, I reach for it and never touch matlab, python, R, or anything else. Weighted version allows you to explicetly include order/time information into the operation, which is essential with every time series, although not widely used in mainstream just as many other obvious and right things. If you think deeply, you'll understand that you can apply a usual non-weighted Fourier to any 2d+ data you can (even if none of these dimensions represent time), because this is a geometric tool in essence. By applying linearly decaying weights inside Fourier transform, you're explicetly saying, "one of these dimensions is Time, and weights represent the order". And obviously you can combine multiple weightings, eg time and another characteristic of each datum, allows you to include another non-spatial dimension in your model. By doing that, on properly processed (not only stationary but Also centered around zero data), you can get some interesting results that you won't be able to recreate without weights: ^^ A sine wave, centered around zero, period of 16. Gray line made by: DWFT (direct weighted Fourier transform) -> spectral gating -> IWFT (inverse weighted Fourier transform) -> plotting the last value of gated reconstructed data, all applied to expanding window. Look how precisely it follows the original data (the sine wave) with no lag at all. This can't be done by using non-weighted version of Fourier transform. ^^ spectral filtering applied to the whole dataset, calculated on the latest data update And you should never forget about Fast Fourier Transform, tho it needs recursion... Section 2: About use cases for quant trading, about this particular implementaion in Pine Script 6 (currently the latest version as of Friday 13, December 2k24). Given the current state of things, we have certain limits on matrix size on TradingView (and we need big dope matrixes to calculate polynomial regression -> detrend & center our data before Fourier), and recursion is not yet available in Pine Script, so the script works on short datasets only, and requires some time. A note on detrending. For quality results, Fourier Transform should be applied to not only stationary but also centered around zero data. The rightest way to do detrending of time series is to fit Cumulative Weighted Moving Polynomial Regression (known as WLSMA in some narrow circles xD) and calculate the deltas between datapoint at time t and this wonderful fit at time t. That's exactly what you see on the main chart of script description: notice the distances between chart and WLSMA, now look lower and see how it matches the distances between zero and purple line in WFT study. Using residuals of one regression fit of the whole dataset makes less sense in time series context, we break some 'time' and order rules in a way, tho not many understand/cares abouit it in mainstream quant industry. Two ways of using the script: Spectral Gating aka Spectral filtering. Frequency domain filtering is quite responsive and for a greater computational cost does not introduce a lag the way it works with time-domain filtering. Works this way: direct Fourier transform your data to get frequency & phase info -> compute power spectrum out of it -> zero out all dem freqs that ain't hit your threshold -> inverse Fourier tranform what's left -> repeat at each datapoint plotting the very first value of reconstructed array*. With this you can watch for zero crossings to make appropriate trading decisions. ^^ plot Freq pass to use the script this way, use Level setting to control the intensity of gating. These 3 only available values: -1, 0 and 1, are the general & natural ones. * if you turn on labels in script's style settings, you see the gray dots perfectly fitting your data. They get recalculated (for the whole dataset) at each update. You call it repainting, this is for analytical & aesthetic purposes. Included for demonstration only. Finding main/dominant frequency & period. You can use it to set up Length for your other studies, and for analytical purposes simply to understand the periodicity of your data. ^^ plot main frequency/main period to use the script this way. On the screenshot, you can see the script applied to sine wave of period 16, notice how many datapoints it took the algo to figure out the signal's period quite good in expanding window mode Now what's the next step? You can try applying signal windowing techniques to make it all less data-driven but your ego-driven, make a weighted periodogram or autocorrelogram (check Wiener-Khinchin Theorem ), and maybe whole shiny spectrogram? ... you decide, choice is yours, The butterfly reflect the doors ... ∞
Индикатор Pine Script®
от gorx1
7
Overnight Effect High Volatility Crypto (AiBitcoinTrend)👽 Overview of the Strategy This strategy leverages the overnight effect in the cryptocurrency market, specifically targeting the two-hour window from 21:00 UTC to 23:00 UTC. The strategy is designed to be applied only during periods of high volatility, which is determined using historical volatility data. This approach, inspired by research from Padyšák and Vojtko (2022), aims to capitalize on statistically significant return patterns observed during these hours. Deep Backtesting with a High Volatility Filter Deep Backtesting without a High Volatility Filter 👽 How the Strategy Works Volatility Calculation: Each day at 00:00 UTC, the strategy calculates the 30-day historical volatility of crypto returns (typically Bitcoin). The historical volatility is the standard deviation of the log returns over the past 30 days, representing the market's recent volatility level. Median Volatility Benchmark: The median of the 30-day historical volatility is calculated over a 365-day period (one year). This median acts as a benchmark to classify each day as either: 👾 High Volatility: When the current 30-day volatility exceeds the median volatility. 👾 Low Volatility: When the current 30-day volatility is below the median. Trading Rule: If the day is classified as a High Volatility Day, the strategy executes the following trades: 👾 Buy at 21:00 UTC. 👾 Sell at 23:00 UTC. Trade Execution Details: The strategy uses a 0.02% fee per trade. Each trade is executed with 25% of the available capital. This allocation helps manage risk while allowing for compounding returns. Rationale: The returns during the 22:00 and 23:00 UTC hours have been found to be statistically significant during high volatility periods. The overnight effect is believed to drive this phenomenon due to the asynchronous closing hours of global financial markets. This creates unique trading opportunities in the cryptocurrency market, where exchanges remain open 24/7. 👽 Market Context and Global Time Zone Impact 👾 Why 21:00 to 23:00 UTC? During this window, major traditional financial markets are closed: NYSE (New York) closes at 21:00 UTC. London and European markets are closed during these hours. Asian markets (Tokyo, Hong Kong, etc.) open later, leaving this window largely unaffected by traditional trading flows. This global market inactivity creates a period where significant moves can occur in the cryptocurrency market, particularly during high volatility. 👽 Strategy Parameters Volatility Period: 30 days. The lookback period for calculating historical volatility. Median Period: 365 days. The lookback period for calculating the median volatility benchmark. Entry Time: 21:00 UTC. Adjust this to your local time if necessary (e.g., 16:00 in New York, 22:00 in Stockholm). Exit Time: 23:00 UTC. Adjust this to your local time if necessary (e.g., 18:00 in New York, 00:00 midnight in Stockholm). 👽 Benefits of the Strategy Seasonality Effect: The strategy captures consistent patterns driven by the overnight effect and high volatility periods. Risk Reduction: Since trades are executed during a specific window and only on high volatility days, the strategy helps mitigate exposure to broader market risk. Simplicity and Efficiency: The strategy is moderately complex, making it accessible for traders while offering significant returns. Global Applicability: Suitable for traders worldwide, with clear guidelines on adjusting for local time zones. 👽 Considerations Market Conditions: The strategy works best in a high-volatility environment. Execution: Requires precise timing to enter and exit trades at the specified hours. Time Zone Adjustments: Ensure you convert UTC times accurately based on your location to execute trades at the correct local times. Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Стратегия Pine Script®
от aibitcointrend
AiTrend Pattern Matrix for kNN Forecasting (AiBitcoinTrend)The AiTrend Pattern Matrix for kNN Forecasting (AiBitcoinTrend) is a cutting-edge indicator that combines advanced mathematical modeling, AI-driven analytics, and segment-based pattern recognition to forecast price movements with precision. This tool is designed to provide traders with deep insights into market dynamics by leveraging multivariate pattern detection and sophisticated predictive algorithms. 👽 Core Features Segment-Based Pattern Recognition At its heart, the indicator divides price data into discrete segments, capturing key elements like candle bodies, high-low ranges, and wicks. These segments are normalized using ATR-based volatility adjustments to ensure robustness across varying market conditions. AI-Powered k-Nearest Neighbors (kNN) Prediction The predictive engine uses the kNN algorithm to identify the closest historical patterns in a multivariate dictionary. By calculating the distance between current and historical segments, the algorithm determines the most likely outcomes, weighting predictions based on either proximity (distance) or averages. Dynamic Dictionary of Historical Patterns The indicator maintains a rolling dictionary of historical patterns, storing multivariate data for: Candle body ranges, High-low ranges, Wick highs and lows. This dynamic approach ensures the model adapts continuously to evolving market conditions. Volatility-Normalized Forecasting Using ATR bands, the indicator normalizes patterns, reducing noise and enhancing the reliability of predictions in high-volatility environments. AI-Driven Trend Detection The indicator not only predicts price levels but also identifies market regimes by comparing current conditions to historically significant highs, lows, and midpoints. This allows for clear visualizations of trend shifts and momentum changes. 👽 Deep Dive into the Core Mathematics 👾 Segment-Based Multivariate Pattern Analysis The indicator analyzes price data by dividing each bar into distinct segments, isolating key components such as: Body Ranges: Differences between the open and close prices. High-Low Ranges: Capturing the full volatility of a bar. Wick Extremes: Quantifying deviations beyond the body, both above and below. Each segment contributes uniquely to the predictive model, ensuring a rich, multidimensional understanding of price action. These segments are stored in a rolling dictionary of patterns, enabling the indicator to reference historical behavior dynamically. 👾 Volatility Normalization Using ATR To ensure robustness across varying market conditions, the indicator normalizes patterns using Average True Range (ATR). This process scales each component to account for the prevailing market volatility, allowing the algorithm to compare patterns on a level playing field regardless of differing price scales or fluctuations. 👾 k-Nearest Neighbors (kNN) Algorithm The AI core employs the kNN algorithm, a machine-learning technique that evaluates the similarity between the current pattern and a library of historical patterns. Euclidean Distance Calculation: The indicator computes the multivariate distance across four distinct dimensions: body range, high-low range, wick low, and wick high. This ensures a comprehensive and precise comparison between patterns. Weighting Schemes: The contribution of each pattern to the forecast is either weighted by its proximity (distance) or averaged, based on user settings. 👾 Prediction Horizon and Refinement The indicator forecasts future price movements (Y_hat) by predicting logarithmic changes in the price and projecting them forward using exponential scaling. This forecast is smoothed using a user-defined EMA filter to reduce noise and enhance actionable clarity. 👽 AI-Driven Pattern Recognition Dynamic Dictionary of Patterns: The indicator maintains a rolling dictionary of N multivariate patterns, continuously updated to reflect the latest market data. This ensures it adapts seamlessly to changing market conditions. Nearest Neighbor Matching: At each bar, the algorithm identifies the most similar historical pattern. The prediction is based on the aggregated outcomes of the closest neighbors, providing confidence levels and directional bias. Multivariate Synthesis: By combining multiple dimensions of price action into a unified prediction, the indicator achieves a level of depth and accuracy unattainable by single-variable models. Visual Outputs Forecast Line (Y_hat_line): A smoothed projection of the expected price trend, based on the weighted contribution of similar historical patterns. Trend Regime Bands: Dynamic high, low, and midlines highlight the current market regime, providing actionable insights into momentum and range. Historical Pattern Matching: The nearest historical pattern is displayed, allowing traders to visualize similarities 👽 Applications Trend Identification: Detect and follow emerging trends early using dynamic trend regime analysis. Reversal Signals: Anticipate market reversals with high-confidence predictions based on historically similar scenarios. Range and Momentum Trading: Leverage multivariate analysis to understand price ranges and momentum, making it suitable for both breakout and mean-reversion strategies. Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Индикатор Pine Script®
от aibitcointrend
7
Harmonic Pattern Detector (75 patterns)Harmonic Pattern Detector offers a record amount of "Harmonic Patterns" in one script, with 75 different patterns detected, together with up to 99 different swing lengths. 🔶 USAGE Harmonic Patterns are detected from several different ZigZag lines, derived from Swings with different lengths (shorter - longer term) Depending on the settings ' Minimum/Maximum Swing Length ', the user will see more or less patterns from shorter and/or longer-term swing points. 🔹 Fibonacci Ratio Certain patterns have only one ratio for a specific retrace/extension instead of one upper and one lower limit. In this case, we add a ' Tolerance ', which adds a percentage tolerance below/above the ratio, creating two limits. A higher number may show more patterns but may become less valid. Hoovering over points B, C, and D will show a tooltip with the concerning limits; adjusted limits will be seen if applicable. Tooltips in settings will also show which patterns the Fibonacci Ratio applies to. 🔹 Triangle Area Ratio Using Heron's formula , the triangle area is calculated after the X-Y axis is normalized. Users can filter patterns based on the ratio of the smallest triangle to the largest triangle. A lower Triangle Area Ratio number leads to more symmetrical patterns but may appear less frequently. 🔶 DETAILS Harmonic patterns are based on geometric patterns, where the retracement/extension of a swing point must be located between specific Fibonacci ratios of the previous swing/leg. Different Harmonic Patterns require unique ratios to become valid patterns. In the above example there is a valid 'Max Butterfly' pattern where: Point B is located between 0.618 - 0.886 retracement level of the X-A leg Point C is located between 0.382 - 0.886 retracement level of the A-B leg Point D is located between 1.272 - 2.618 extension level of the B-C leg Point D is located between 1.272 - 1.618 extension level of the X-A leg Harmonic Pattern Detector uses ZigZag lines, where swing highs and swing lows alternate. Each ZigZag line is checked for valid Harmonic Patterns . When multiple types of Harmonic Patterns are valid for the same sequence, the pattern will be named after the first one found. Different swing lengths form different ZigZag lines. By evaluating different ZigZag lines (up to 99!), shorter—and longer-term patterns can be drawn on the same chart. 🔹 Blocks The patterns are organized into blocks that can be toggled on or off with a single click. When a block is enabled, the user can still select which specific patterns within that block are enabled or disabled. 🔹 Visuals Besides color settings, labels can show pattern names or arrows at point D of the pattern. Note this will happen 1 bar after validation because one extra bar is needed for confirmation. An option is included to show only arrows without the patterns. 🔹 Updated Patterns When a Swing Low is followed by a lower low or a Swing High followed by a higher high , triggering a pattern identical to a previous one except with a different point D, the pattern will be updated. The previous C-D line will be visible as a dashed line to highlight the event. Only the last dashed line is shown when this happens more than once. 🔹 Optimization The script only verifies the last leg in the initial phase, significantly reducing the time spent on pattern validation. If this leg doesn't align with a potential  Harmonic Pattern , the pattern is immediately disregarded. In the subsequent phase, the remaining patterns are quickly scrutinized to ensure the next leg is valid. This efficient process continues, with only valid patterns progressing to the next phase until all sequences have been thoroughly examined. This process can check up to 99 ZigZag lines for 75 different Harmonic Patterns , showcasing its high capacity and versatility. 🔹 Ratios The following table shows the different ratios used for each Harmonic Pattern . ' min ' and ' max ' are used when only one limit is provided instead of 2. This limit is given a percentage tolerance above and below, customizable by the setting ' Tolerance - Fibonacci Ratio '. For example a ratio of 0.618 with a tolerance of 1% would result in: an upper limit of 0.624 a lower limit of 0.612 |-------------------|------------------------|------------------------|-----------------------|-----------------------| | NAME PATTERN | BCD (BD) | ABC (AC) | XAB (XB) | XAD (XD) | | | min max | min max | min max | min max | |-------------------|------------------------|------------------------|-----------------------|-----------------------| | 'ABCD' | 1.272 - 1.618 | 0.618 - 0.786 | | | | '5-0' | 0.5 *min - 0.5 *max | 1.618 - 2.24 | 1.13 - 1.618 | | | 'Max Gartley' | 1.128 - 2.236 | 0.382 - 0.886 | 0.382 - 0.618 | 0.618 - 0.786 | | 'Gartley' | 1.272 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max | | 'A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max | | 'NN Gartley' | 1.128 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max | | 'NN A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max | | 'Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max | | 'Alt Bat' | 2.0 - 3.618 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max | | 'A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'Max Bat' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.618 | 0.886*min - 0.886*max | | 'NN Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max | | 'NN Alt Bat' | 2.0 - 4.236 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max | | 'NN A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'NN A Alt Bat' | 2.618*min - 2.618*max | 1.128 - 2.618 | 0.236 - 0.5 | 0.886*min - 0.886*max | | 'Butterfly' | 1.618 - 2.618 | 0.382 - 0.886 | 0.786*min - 0.786*max | 1.272 - 1.618 | | 'Max Butterfly' | 1.272 - 2.618 | 0.382 - 0.886 | 0.618 - 0.886 | 1.272 - 1.618 | | 'Butterfly 113' | 1.128 - 1.618 | 0.618 - 1.0 | 0.786 - 1.0 | 1.128*min - 1.128*max | | 'A Butterfly' | 1.272*min - 1.272*max | 1.128 - 2.618 | 0.382 - 0.618 | 0.618 - 0.786 | | 'Crab' | 2.24 - 3.618 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max | | 'Deep Crab' | 2.618 - 3.618 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max | | 'A Crab' | 1.618 - 2.618 | 1.128 - 2.618 | 0.276 - 0.446 | 0.618*min - 0.618*max | | 'NN Crab' | 2.236 - 4.236 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max | | 'NN Deep Crab' | 2.618 - 4.236 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max | | 'NN A Crab' | 1.128 - 2.618 | 1.128 - 2.618 | 0.236 - 0.447 | 0.618*min - 0.618*max | | 'NN A Deep Crab' | 1.128*min - 1.128*max | 1.128 - 2.618 | 0.236 - 0.382 | 0.618*min - 0.618*max | | 'Cypher' | 1.272 - 2.00 | 1.13 - 1.414 | 0.382 - 0.618 | 0.786*min - 0.786*max | | 'New Cypher' | 1.272 - 2.00 | 1.414 - 2.14 | 0.382 - 0.618 | 0.786*min - 0.786*max | | 'Anti New Cypher' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 1.272*min - 1.272*max | | 'Shark 1' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 0.886*min - 0.886*max | | 'Shark 1 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 1.128*min - 1.128*max | | 'Shark 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 1.128*min - 1.128*max | | 'Shark 2 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 0.886*min - 0.886*max | | 'Leonardo' | 1.128 - 2.618 | 0.382 - 0.886 | 0.5*min - 0.5*max | 0.786*min - 0.786*max | | 'NN A Leonardo' | 2.0*min - 2.0*max | 1.128 - 2.618 | 0.382 - 0.886 | 1.272*min - 1.272*max | | 'Nen Star' | 1.272 - 2.0 | 1.414 - 2.14 | 0.382 - 0.618 | 1.272*min - 1.272*max | | 'Anti Nen Star' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 0.786*min - 0.786*max | | '3 Drives' | 1.272 - 1.618 | 0.618 - 0.786 | 1.272 - 1.618 | 1.618 - 2.618 | | 'A 3 Drives' | 0.618 - 0.786 | 1.272 - 1.618 | 0.618 - 0.786 | 0.13 - 0.886 | | '121' | 0.382 - 0.786 | 1.128 - 3.618 | 0.5 - 0.786 | 0.382 - 0.786 | | 'A 121' | 1.272 - 2.0 | 0.5 - 0.786 | 1.272 - 2.0 | 1.272 - 2.618 | | '121 BG' | 0.618 - 0.707 | 1.128 - 1.733 | 0.5 - 0.577 | 0.447 - 0.786 | | 'Black Swan' | 1.128 - 2.0 | 0.236 - 0.5 | 1.382 - 2.618 | 1.128 - 2.618 | | 'White Swan' | 0.5 - 0.886 | 2.0 - 4.237 | 0.382 - 0.786 | 0.238 - 0.886 | | 'NN White Swan' | 0.5 - 0.886 | 2.0 - 4.236 | 0.382 - 0.724 | 0.382 - 0.886 | | 'Sea Pony' | 1.618 - 2.618 | 0.382 - 0.5 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Navarro 200' | 0.886 - 3.618 | 0.886 - 1.128 | 0.382 - 0.786 | 0.886 - 1.128 | | 'May-00' | 0.5 - 0.618 | 1.618 - 2.236 | 1.128 - 1.618 | 0.5 - 0.618 | | 'SNORM' | 0.9 - 1.1 | 0.9 - 1.1 | 0.9 - 1.1 | 0.618 - 1.618 | | 'COL Poruchik' | 1.0 *min - 1.0 *max | 0.382 - 2.618 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Henry – David' | 0.618 - 0.886 | 0.44 - 0.618 | 0.128 - 2.0 | 0.618 - 1.618 | | 'DAVID VM 1' | 1.618 - 1.618 | 0.382*min - 0.382*max | 0.128 - 1.618 | 0.618 - 3.618 | | 'DAVID VM 2' | 1.618 - 1.618 | 0.382*min - 0.382*max | 1.618 - 3.618 | 0.618 - 7.618 | | 'Partizan' | 1.618*min - 1.618*max | 0.382*min - 0.382*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.128 - 3.618 | 1.618 - 3.618 | | 'Partizan 2.1' | 1.618*min - 1.618*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.2' | 2.236*min - 2.236*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.3' | 1.618*min - 1.618*max | 0.618 - 1.618 | 0.128 - 3.618 | 0.618 - 3.618 | | 'Partizan 2.4' | 2.236*min - 2.236*max | 1.618*min - 1.618*max | 0.128 - 3.618 | 0.618 - 3.618 | | 'TOTAL' | 1.272 - 3.618 | 0.382 - 2.618 | 0.276 - 0.786 | 0.618 - 1.618 | | 'TOTAL NN' | 1.272 - 4.236 | 0.382 - 2.618 | 0.236 - 0.786 | 0.618 - 1.618 | | 'TOTAL 1' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.786 | 0.786 - 0.886 | | 'TOTAL 2' | 1.618 - 3.618 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 | | 'TOTNN 2NN' | 1.618 - 4.236 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 | | 'TOTAL 3' | 1.272 - 2.618 | 1.128 - 2.618 | 0.276 - 0.618 | 0.618 - 0.886 | | 'TOTNN 3NN' | 1.272 - 2.618 | 1.128 - 2.618 | 0.236 - 0.618 | 0.618 - 0.886 | | 'TOTAL 4' | 1.618 - 2.618 | 1.128 - 2.618 | 0.382 - 0.786 | 1.128 - 1.272 | | 'BG 1' | 2.618*min - 2.618*max | 0.382*min - 0.382*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 2' | 2.237*min - 2.237*max | 0.447*min - 0.447*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 3' | 2.0 *min - 2.0 *max | 0.5 *min - 0.5 *max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 4' | 1.618*min - 1.618*max | 0.618*min - 0.618*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 5' | 1.414*min - 1.414*max | 0.707*min - 0.707*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 6' | 1.272*min - 1.272*max | 0.786*min - 0.786*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 7' | 1.171*min - 1.171*max | 0.854*min - 0.854*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | | 'BG 8' | 1.128*min - 1.128*max | 0.886*min - 0.886*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max | |-------------------|------------------------|------------------------|-----------------------|-----------------------| 🔶 SETTINGS 🔹 Swings Minimum Swing Length: Minimum length used for the swing detection. Maximum Swing Length: Maximum length used for the swing detection. 🔹 Patterns Toggle Pattern Block Toggle separate pattern in each Pattern Block 🔹 Tolerance Fibonacci Ratio: Adds a percentage tolerance below/above the ratio when only one ratio applies, creating two limits. Triangle Area Ratio: Filters patterns based on the ratio of the smallest triangle to the largest triangle. 🔹 Display Labels: Display Pattern Names, Arrows or nothing Patterns: Display or not Last Line: Display previous C-D line when updated 🔹 Style Colors: Pattern Lines/Names/Arrows - background color of patterns Text Size: Text Size of Pattern Names/Arrows 🔹 Calculation Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Индикатор Pine Script®
от fikira
26
Hybrid Triple Exponential Smoothing🙏🏻 TV, I present you HTES aka Hybrid Triple Exponential Smoothing, designed by Holt & Winters in the US, assembled by me in Saint P. I apply exponential smoothing individually to the data itself, then to residuals from the fitted values, and lastly to one-point forecast (OPF) errors, hence 'hybrid'. At the same time, the method is a closed-form solution and purely online, no need to make any recalculations & optimize anything, so the method is O(1). ^^ historical OPFs and one-point forecasting interval plotted instead of fitted values and prediction interval Before the How-to, first let me tell you some non-obvious things about Triple Exponential smoothing (and about Exponential Smoothing in general) that not many catch. Expo smoothing seems very straightforward and obvious, but if you look deeper... 1) The whole point of exponential smoothing is its incremental/online nature, and its O(1) algorithm complexity, making it dope for high-frequency streaming data that is also univariate and has no weights. Consequently: - Any hybrid models that involve expo smoothing and any type of ML models like gradient boosting applied to residuals rarely make much sense business-wise: if you have resources to boost the residuals, you prolly have resources to use something instead of expo smoothing; - It also concerns the fashion of using optimizers to pick smoothing parameters; honestly, if you use this approach, you have to retrain on each datapoint, which is crazy in a streaming context. If you're not in a streaming context, why expo smoothing? What makes more sense is either picking smoothing parameters once, guided by exogenous info, or using dynamic ones calculated in a minimalistic and elegant way (more on that in further drops). 2) No matter how 'right' you choose the smoothing parameters, all the resulting components (level, trend, seasonal) are not pure; each of them contains a bit of info from the other components, this is just how non-sequential expo smoothing works. You gotta know this if you wanna use expo smoothing to decompose your time series into separate components. The only pure component there, lol, is the residuals; 3) Given what I've just said, treating the level (that does contain trend and seasonal components partially) as the resulting fit is a mistake. The resulting fit is level (l) + trend (b) + seasonal (s). And from this fit, you calculate residuals; 4) The residuals component is not some kind of bad thing; it is simply the component that contains info you consciously decide not to include in your model for whatever reason; 5) Forecasting Errors and Residuals from fitted values are 2 different things. The former are deltas between the forecasts you've made and actual values you've observed, the latter are simply differences between actual datapoints and in-sample fitted values; 6) Residuals are used for in-sample prediction intervals, errors for out-of-sample forecasting intervals; 7) Choosing between single, double, or triple expo smoothing should not be based exclusively on the nature of your data, but on what you need to do as well. For example: - If you have trending seasonal data and you wanna do forecasting exclusively within the expo smoothing framework, then yes, you need Triple Exponential Smoothing; - If you wanna use prediction intervals for generating trend-trading signals and you disregard seasonality, then you need single (simple) expo smoothing, even on trending data. Otherwise, the trend component will be included in your model's fitted values → prediction intervals. 8) Kind of not non-obvious, but when you put one smoothing parameter to zero, you basically disregard this component. E.g., in triple expo smoothing, when you put gamma and beta to zero, you basically end up with single exponential smoothing. ^^ data smoothing, beta and gamma zeroed out, forecasting steps = 0 About the implementation * I use a simple power transform that results in a log transform with lambda = 0 instead of the mainstream-used transformers (if you put lambda on 2 in Box-Cox, you won't get a power of 2 transform) * Separate set of smoothing parameters for data, residuals, and errors smoothing * Separate band multipliers for residuals and errors * Both typical error and typical residuals get multiplied by math.sqrt(math.pi / 2) in order to approach standard deviation so you can ~use Z values and get more or less corresponding probabilities * In script settings → style, you can switch on/off plotting of many things that get calculated internally: - You can visualize separate components (just remember they are not pure); - You can switch off fit and switch on OPF plotting; - You can plot residuals and their exponentially smoothed typical value to pick the smoothing parameters for both data and residuals; - Or you might plot errors and play with data smoothing parameters to minimize them (consult SAE aka Sum of Absolute Errors plot); ^^ nuff said More ideas on how to use the thing 1) Use Double Exponential Smoothing (data gamma = 0) to detrend your time series for further processing (Fourier likes at least weakly stationary data); 2) Put single expo smoothing on your strategy/subaccount equity chart (data alpha = data beta = 0), set prediction interval deviation multiplier to 1, run your strat live on simulator, start executing on real market when equity on simulator hits upper deviation (prediction interval), stop trading if equity hits lower deviation on simulator. Basically, let the strat always run on simulator, but send real orders to a real market when the strat is successful on your simulator; 3) Set up the model to minimize one-point forecasting errors, put error forecasting steps to 1, now you're doing nowcasting; 4) Forecast noisy trending sine waves for fun. ^^ nuff said 2 All Good TV ∞
Индикатор Pine Script®
от gorx1
5
Stoch RSI and RSI Buy/Sell Signals with MACD Trend FilterDescription of the Indicator This Pine Script is designed to provide traders with buy and sell signals based on the combination of Stochastic RSI, RSI, and MACD indicators, enhanced by the confirmation of candle colors. The primary goal is to facilitate informed trading decisions in various market conditions by utilizing different indicators and their interactions. The script allows customization of various parameters, providing flexibility for traders to adapt it to their specific trading styles. Usefulness This indicator is not just a mashup of existing indicators; it integrates the functionality of multiple momentum and trend-detection methods into a cohesive trading tool. The combination of Stochastic RSI, RSI, and MACD offers a well-rounded approach to analyzing market conditions, allowing traders to identify entry and exit points effectively. The inclusion of color-coded signals (strong vs. weak) further enhances its utility by providing visual cues about the strength of the signals. How to Use This Indicator Input Settings: Adjust the parameters for the Stochastic RSI, RSI, and MACD to fit your trading style. Set the overbought/oversold levels according to your risk tolerance. Signal Colors: Strong Buy Signal: Indicated by a green label and confirmed by a green candle (close > open). Weak Buy Signal: Indicated by a blue label and confirmed by a green candle (close > open). Strong Sell Signal: Indicated by a red label and confirmed by a red candle (close < open). Weak Sell Signal: Indicated by an orange label and confirmed by a red candle (close < open). Example Trading Strategy Using This Indicator To effectively use this indicator as part of your trading strategy, follow these detailed steps: Setup: Timeframe : Select a timeframe that aligns with your trading style (e.g., 15-minute for intraday, 1-hour for swing trading, or daily for longer-term positions). Indicator Settings : Customize the Stochastic RSI, RSI, and MACD parameters to suit your trading approach. Adjust overbought/oversold levels to match your risk tolerance. Strategy: 1. Strong Buy Entry Criteria : Wait for a strong buy signal (green label) when the RSI is at or below the oversold level (e.g., ≤ 35), indicating a deeply oversold market. Confirm that the MACD shows a decreasing trend (bearish momentum weakening) to validate a potential reversal. Ensure the current candle is green (close > open) if candle color confirmation is enabled. Example Use : On a 1-hour chart, if the RSI drops below 35, MACD shows three consecutive bars of decreasing negative momentum, and a green candle forms, enter a buy position. This setup signals a robust entry with strong momentum backing it. 2. Weak Buy Entry Criteria : Monitor for weak buy signals (blue label) when RSI is above the oversold level but still below the neutral (e.g., between 36 and 50). This indicates a market recovering from an oversold state but not fully reversing yet. These signals can be used for early entries with additional confirmations, such as support levels or higher timeframe trends. Example Use : On the same 1-hour chart, if RSI is at 45, the MACD shows momentum stabilizing (not necessarily negative), and a green candle appears, consider a partial or cautious entry. Use this as an early warning for a potential bullish move, especially when higher timeframe indicators align. 3. Strong Sell Entry Criteria : Look for a strong sell signal (red label) when RSI is at or above the overbought level (e.g., ≥ 65), signaling a strong overbought condition. The MACD should show three consecutive bars of increasing positive momentum to indicate that the bullish trend is weakening. Ensure the current candle is red (close < open) if candle color confirmation is enabled. Example Use : If RSI reaches 70, MACD shows increasing momentum that starts to level off, and a red candle forms on a 1-hour chart, initiate a short position with a stop loss set above recent resistance. This is a high-confidence signal for potential price reversal or pullback. 4. Weak Sell Entry Criteria : Use weak sell signals (orange label) when RSI is between the neutral and overbought levels (e.g., between 50 and 64). These can indicate potential short opportunities that might not yet be fully mature but are worth monitoring. Look for other confirmations like resistance levels or trendline touches to strengthen the signal. Example Use : If RSI reads 60 on a 1-hour chart, and the MACD shows slight positive momentum with signs of slowing down, place a cautious sell position or scale out of existing long positions. This setup allows you to prepare for a possible downtrend. Trade Management: Stop Loss : For buy trades, place stop losses below recent swing lows. For sell trades, set stops above recent swing highs to manage risk effectively. Take Profit : Target nearby resistance or support levels, apply risk-to-reward ratios (e.g., 1:2), or use trailing stops to lock in profits as price moves in your favor. Confirmation : Align these signals with broader trends on higher timeframes. For example, if you receive a weak buy signal on a 15-minute chart, check the 1-hour or daily chart to ensure the overall trend is not bearish. Real-World Example: Imagine trading on a 15-minute chart : For a buy: A strong buy signal (green) appears when the RSI dips to 32, MACD shows declining bearish momentum, and a green candle forms. Enter a buy position with a stop loss below the most recent support level. Alternatively, a weak buy signal (blue) appears when RSI is at 47. Use this as a signal to start monitoring the market closely or enter a smaller position if other indicators (like support and volume analysis) align. For a sell: A strong sell signal (red) with RSI at 72 and a red candle signals to short with conviction. Place your stop loss just above the last peak. A weak sell signal (orange) with RSI at 62 might prompt caution but can still be acted on if confirmed by declining volume or touching a resistance level. These strategies show how to blend both strong and weak signals into your trading for more nuanced decision-making. Technical Analysis of the Code 1. Stochastic RSI Calculation: The script calculates the Stochastic RSI (stochRsiK) using the RSI as input and smooths it with a moving average (stochRsiD). Code Explanation : ta.stoch(rsi, rsi, rsi, stochLength) computes the Stochastic RSI, and ta.sma(stochRsiK, stochSmoothing) applies smoothing. 2. RSI Calculation : The RSI is computed over a user-defined period and checks for overbought or oversold conditions. Code Explanation : rsi = ta.rsi(close, rsiLength) calculates RSI values. 3. MACD Trend Filter : MACD is calculated with fast, slow, and signal lengths, identifying trends via three consecutive bars moving in the same direction. Code Explanation : = ta.macd(close, macdLengthFast, macdLengthSlow, macdSignalLength) sets MACD values. Conditions like macdLine < macdLine confirm trends. 4. Buy and Sell Conditions : The script checks Stochastic RSI, RSI, and MACD values to set buy/sell flags. Candle color filters further confirm valid entries. Code Explanation : buyConditionMet and sellConditionMet logically check all conditions and toggles (enableStochCondition, enableRSICondition, etc.). 5. Signal Flags and Confirmation : Flags track when conditions are met and ensure signals only appear on appropriate candle colors. Code Explanation : Conditional blocks (if statements) update buyFlag and sellFlag. 6. Labels and Alerts : The indicator plots "BUY" or "SELL" labels with the RSI value when signals trigger and sets alerts through alertcondition(). Code Explanation : label.new() displays the signal, color-coded for strength based on RSI. NOTE : All strategies can be enabled or disabled in the settings, allowing traders to customize the indicator to their preferences and trading styles.
Индикатор Pine Script®
от Pedro-Elias
11
Supertrend StrategyThe Supertrend Strategy was created based on the Supertrend and Relative Strength Index (RSI) indicators, widely respected tools in technical analysis. This strategy combines these two indicators to capture market trends with precision and reliability, looking for optimizing exit levels at oversold or overbought price levels. The Supertrend indicator identifies trend direction based on price and volatility by using the Average True Range (ATR). The ATR measures market volatility by calculating the average range between an asset’s high and low prices over a set period. It provides insight into price fluctuations, with higher ATR values indicating increased volatility and lower values suggesting stability. The Supertrend Indicator plots a line above or below the price, signaling potential buy or sell opportunities: when the price closes above the Supertrend line, an uptrend is indicated, while a close below the line suggests a downtrend. This line shifts as price movements and volatility levels change, acting as both a trailing stop loss and trend confirmation. To enhance the Supertrend strategy, the Relative Strength Index (RSI) has been added as an exit criterion. As a momentum oscillator, the RSI indicates overbought (usually above 70) or oversold (usually below 30) conditions. This integration allows trades to close when the asset is overbought or oversold, capturing gains before a possible reversal, even if the percentage take profit level has not been reached. This mechanism aims to prevent losses due to market reversals before the Supertrend signal changes. ### Key Features 1. **Entry criteria**: - The strategy uses the Supertrend indicator calculated by adding or subtracting a multiple of the ATR from the closing price, depending on the trend direction. - When the price crosses above the Supertrend line, the strategy signals a long (buy) entry. Conversely, when the price crosses below, it signals a short (sell) entry. - The strategy performs a reversal if there is an open position and a change in the direction of the supertrend occurs 2. **Exit criteria**: - Take profit of 30% (default) on the average position price. - Oversold (≤ 5) or overbought (≥ 95) RSI - Reversal when there is a change in direction of the Supertrend 3. **No Repainting**: - This strategy is not subject to repainting, as long as the timeframe configured on your chart is the same as the supertrend timeframe . 4. **Position Sizing by Equity and risk management**: - This strategy has a default configuration to operate with 35% of the equity. At the time of opening the position, the supertrend line is typically positioned at about 12 to 16% of the entry price. This way, the strategy is putting at risk about 16% of 35% of equity, that is, around 5.6% of equity for each trade. The percentage of equity can be adjusted by the user according to their risk management. 5. **Backtest results**: - This strategy was subjected to deep backtesting and operations in replay mode, including transaction fees of 0.12%, and slippage of 5 ticks. - The past results in deep backtest and replay mode were compatible and profitable (Variable results depending on the take profit used, supertrend and RSI parameters). However, it should be noted that few operations were evaluated, since the currency in question has been created for a short time and the frequency of operations is relatively small. - Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data. Default Settings Chart timeframe: 2h Supertrend Factor: 3.42 ATR period: 14 Supertrend timeframe: 2 h RSI timeframe: 15 min RSI Lenght: 5 min RSI Upper limit: 95 RSI Lower Limit: 5 Take Profit: 30% BYBIT:1000000MOGUSDT.P
Стратегия Pine Script®
от felipemiransan
1
ICT Master Suite [Trading IQ]Hello Traders! We’re excited to introduce the ICT Master Suite by TradingIQ, a new tool designed to bring together several ICT concepts and strategies in one place. The Purpose Behind the ICT Master Suite There are a few challenges traders often face when using ICT-related indicators: Many available indicators focus on one or two ICT methods, which can limit traders who apply a broader range of ICT related techniques on their charts. There aren't many indicators for ICT strategy models, and we couldn't find ICT indicators that allow for testing the strategy models and setting alerts. Many ICT related concepts exist in the public domain as indicators, not strategies! This makes it difficult to verify that the ICT concept has some utility in the market you're trading and if it's worth trading - it's difficult to know if it's working! Some users might not have enough chart space to apply numerous ICT related indicators, which can be restrictive for those wanting to use multiple ICT techniques simultaneously. The ICT Master Suite is designed to offer a comprehensive option for traders who want to apply a variety of ICT methods. By combining several ICT techniques and strategy models into one indicator, it helps users maximize their chart space while accessing multiple tools in a single slot. Additionally, the ICT Master Suite was developed as a strategy . This means users can backtest various ICT strategy models - including deep backtesting. A primary goal of this indicator is to let traders decide for themselves what markets to trade ICT concepts in and give them the capability to figure out if the strategy models are worth trading! What Makes the ICT Master Suite Different There are many ICT-related indicators available on TradingView, each offering valuable insights. What the ICT Master Suite aims to do is bring together a wider selection of these techniques into one tool. This includes both key ICT methods and strategy models, allowing traders to test and activate strategies all within one indicator. Features The ICT Master Suite offers: Multiple ICT strategy models, including the 2022 Strategy Model and Unicorn Model, which can be built, tested, and used for live trading. Calculation and display of key price areas like Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps, Equal Levels, and more. The ability to set alerts based on these ICT strategies and key price areas. A comprehensive, yet practical, all-inclusive ICT indicator for traders. Customizable Timeframe - Calculate ICT concepts on off-chart timeframes Unicorn Strategy Model 2022 Strategy Model Liquidity Raid Strategy Model OTE (Optimal Trade Entry) Strategy Model Silver Bullet Strategy Model Order blocks Breaker blocks Rejection blocks FVG Strong highs and lows Displacements Liquidity sweeps Power of 3 ICT Macros HTF previous bar high and low Break of Structure indications Market Structure Shift indications Equal highs and lows Swings highs and swing lows Fibonacci TPs and SLs Swing level TPs and SLs Previous day high and low TPs and SLs And much more! An ongoing project! How To Use Many traders will already be familiar with the ICT related concepts listed above, and will find using the ICT Master Suite quite intuitive! Despite this, let's go over the features of the tool in-depth and how to use the tool! The image above shows the ICT Master Suite with almost all techniques activated. ICT 2022 Strategy Model The ICT Master suite provides the ability to test, set alerts for, and live trade the ICT 2022 Strategy Model. The image above shows an example of a long position being entered following a complete setup for the 2022 ICT model. A liquidity sweep occurs prior to an upside breakout. During the upside breakout the model looks for the FVG that is nearest 50% of the setup range. A limit order is placed at this FVG for entry. The target entry percentage for the range is customizable in the settings. For instance, you can select to enter at an FVG nearest 33% of the range, 20%, 66%, etc. The profit target for the model generally uses the highest high of the range (100%) for longs and the lowest low of the range (100%) for shorts. Stop losses are generally set at 0% of the range. The image above shows the short model in action! Whether you decide to follow the 2022 model diligently or not, you can still set alerts when the entry condition is met. ICT Unicorn Model The image above shows an example of a long position being entered following a complete setup for the ICT Unicorn model. A lower swing low followed by a higher swing high precedes the overlap of an FVG and breaker block formed during the sequence. During the upside breakout the model looks for an FVG and breaker block that formed during the sequence and overlap each other. A limit order is placed at the nearest overlap point to current price. The profit target for this example trade is set at the swing high and the stop loss at the swing low. However, both the profit target and stop loss for this model are configurable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 For Longs, the selectable stop losses are: Swing Low Bottom of FVG or breaker block The image above shows the short version of the Unicorn Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 For Shorts, the selectable stop losses are: Swing High Top of FVG or breaker block The image above shows the profit target and stop loss options in the settings for the Unicorn Model. Optimal Trade Entry (OTE) Model The image above shows an example of a long position being entered following a complete setup for the OTE model. Price retraces either 0.62, 0.705, or 0.79 of an upside move and a trade is entered. The profit target for this example trade is set at the -0.5 fib level. This is also adjustable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 The image above shows the short version of the OTE Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 Liquidity Raid Model The image above shows an example of a long position being entered following a complete setup for the Liquidity Raid Modell. The user must define the session in the settings (for this example it is 13:30-16:00 NY time). During the session, the indicator will calculate the session high and session low. Following a “raid” of either the session high or session low (after the session has completed) the script will look for an entry at a recently formed breaker block. If the session high is raided the script will look for short entries at a bearish breaker block. If the session low is raided the script will look for long entries at a bullish breaker block. For Longs, the profit target options are: Swing high User inputted Lib level For Longs, the stop loss options are: Swing low User inputted Lib level Breaker block bottom The image above shows the short version of the Liquidity Raid Model in action! For Shorts, the profit target options are: Swing Low User inputted Lib level For Shorts, the stop loss options are: Swing High User inputted Lib level Breaker block top Silver Bullet Model The image above shows an example of a long position being entered following a complete setup for the Silver Bullet Modell. During the session, the indicator will determine the higher timeframe bias. If the higher timeframe bias is bullish the strategy will look to enter long at an FVG that forms during the session. If the higher timeframe bias is bearish the indicator will look to enter short at an FVG that forms during the session. For Longs, the profit target options are: Nearest Swing High Above Entry Previous Day High For Longs, the stop loss options are: Nearest Swing Low Previous Day Low The image above shows the short version of the Silver Bullet Model in action! For Shorts, the profit target options are: Nearest Swing Low Below Entry Previous Day Low For Shorts, the stop loss options are: Nearest Swing High Previous Day High Order blocks The image above shows indicator identifying and labeling order blocks. The color of the order blocks, and how many should be shown, are configurable in the settings! Breaker Blocks The image above shows indicator identifying and labeling order blocks. The color of the breaker blocks, and how many should be shown, are configurable in the settings! Rejection Blocks The image above shows indicator identifying and labeling rejection blocks. The color of the rejection blocks, and how many should be shown, are configurable in the settings! Fair Value Gaps The image above shows indicator identifying and labeling fair value gaps. The color of the fair value gaps, and how many should be shown, are configurable in the settings! Additionally, you can select to only show fair values gaps that form after a liquidity sweep. Doing so reduces "noisy" FVGs and focuses on identifying FVGs that form after a significant trading event. The image above shows the feature enabled. A fair value gap that occurred after a liquidity sweep is shown. Market Structure The image above shows the ICT Master Suite calculating market structure shots and break of structures! The color of MSS and BoS, and whether they should be displayed, are configurable in the settings. Displacements The images above show indicator identifying and labeling displacements. The color of the displacements, and how many should be shown, are configurable in the settings! Equal Price Points The image above shows the indicator identifying and labeling equal highs and equal lows. The color of the equal levels, and how many should be shown, are configurable in the settings! Previous Custom TF High/Low The image above shows the ICT Master Suite calculating the high and low price for a user-defined timeframe. In this case the previous day’s high and low are calculated. To illustrate the customizable timeframe function, the image above shows the indicator calculating the previous 4 hour high and low. Liquidity Sweeps The image above shows the indicator identifying a liquidity sweep prior to an upside breakout. The image above shows the indicator identifying a liquidity sweep prior to a downside breakout. The color and aggressiveness of liquidity sweep identification are adjustable in the settings! Power Of Three The image above shows the indicator calculating Po3 for two user-defined higher timeframes! Macros The image above shows the ICT Master Suite identifying the ICT macros! ICT Macros are only displayable on the 5 minute timeframe or less. Strategy Performance Table In addition to a full-fledged TradingView backtest for any of the ICT strategy models the indicator offers, a quick-and-easy strategy table exists for the indicator! The image above shows the strategy performance table in action. Keep in mind that, because the ICT Master Suite is a strategy script, you can perform fully automatic backtests, deep backtests, easily add commission and portfolio balance and look at pertinent metrics for the ICT strategies you are testing! Lite Mode Traders who want the cleanest chart possible can toggle on “Lite Mode”! In Lite Mode, any neon or “glow” like effects are removed and key levels are marked as strict border boxes. You can also select to remove box borders if that’s what you prefer! Settings Used For Backtest For the displayed backtest, a starting balance of $1000 USD was used. A commission of 0.02%, slippage of 2 ticks, a verify price for limit orders of 2 ticks, and 5% of capital investment per order. A commission of 0.02% was used due to the backtested asset being a perpetual future contract for a crypto currency. The highest commission (lowest-tier VIP) for maker orders on many exchanges is 0.02%. All entered positions take place as maker orders and so do profit target exits. Stop orders exist as stop-market orders. A slippage of 2 ticks was used to simulate more realistic stop-market orders. A verify limit order settings of 2 ticks was also used. Even though BTCUSDT.P on Binance is liquid, we just want the backtest to be on the safe side. Additionally, the backtest traded 100+ trades over the period. The higher the sample size the better; however, this example test can serve as a starting point for traders interested in ICT concepts. Community Assistance And Feedback Given the complexity and idiosyncratic applications of ICT concepts amongst its proponents, the ICT Master Suite’s built-in strategies and level identification methods might not align with everyone's interpretation. That said, the best we can do is precisely define ICT strategy rules and concepts to a repeatable process, test, and apply them! Whether or not an ICT strategy is trading precisely how you would trade it, seeing the model in action, taking trades, and with performance statistics is immensely helpful in assessing predictive utility. If you think we missed something, you notice a bug, have an idea for strategy model improvement, please let us know! The ICT Master Suite is an ongoing project that will, ideally, be shaped by the community. A big thank you to the @PineCoders for their Time Library! Thank you!
Стратегия Pine Script®
от Trading-IQ
34
Ultimate Fibonacci Trading Tool [CHE]Ultimate Fibonacci Trading Tool – Your Key to More Precise Trading Decisions! Description: Discover the Ultimate Fibonacci Trading Tool , a powerful instrument designed to revolutionize your technical analysis. This tool is crafted to assist traders of all experience levels in better understanding market movements and making informed decisions. By utilizing a higher reference period from the past, it provides you with a clear advantage in identifying critical support and resistance levels. 🌟 Key Features in Detail: 1. Automatic Timeframe Selection: - Auto Timeframe: The tool automatically detects the optimal higher reference period based on your current chart, providing more precise analysis without additional effort. - Multiplier Mode: Define the higher timeframe using a multiplier. By default set to 5, this can be adjusted to suit your individual needs. - Manual Selection: For maximum control, you can manually select the desired timeframe. 2. Customizable Fibonacci Levels: - Enable/Disable Levels: Toggle specific Fibonacci levels (e.g., 0.236, 0.382, 0.5, 0.618, etc.) on or off to personalize your analysis. - User-Defined Values: Input custom numerical values for each level to support specialized Fibonacci calculations. - Color Customization: Choose individual colors for each level to keep your charts clear and visually appealing. 3. Automatic Trend Detection: - The tool automatically identifies whether the market is in a bullish or bearish trend and adjusts the Fibonacci calculations accordingly, ensuring you always have the most relevant information at hand. 4. Period Separators with Start and Stop Labels: - Customizable Separator Lines: Visualize the beginning of new time periods with lines that you can customize in style, color, and width. - Start/Stop Labels: Clear markers help you instantly recognize critical time points and potential trend changes. 5. Flexible Label Management: - Display Styles: Decide how Fibonacci levels are presented—percentage, price level, or both—so you get the information most important to you. - Size Adjustment: Modify the size of the labels to optimize readability on your chart. - Positioning: Place labels where they make the most sense for your analysis. 6. Informative Time Period Display: - Customizable Info Box: Keep track of the reference period used with a customizable information box displayed directly on your chart. - Layout Options: Determine the size, position, background, and text colors for seamless integration into your chart environment. 🔧 Detailed Settings Options: - Timeframe Selection: - Timeframe Type: Choose between "Auto Timeframe," "Multiplier," or "Manual" to control how the reference period is calculated. - Multiplier: Set the multiplier when using the "Multiplier" mode; this value determines how many units of the current timeframe are used as the reference. - Manual Resolution: If "Manual" is selected, you can input the exact timeframe (e.g., "60," "1D," "1W"). - Fibonacci Level Settings: - Enabling Individual Levels: Toggle each Fibonacci level on or off according to your preference. - Adjusting Level Values: Enter custom numerical values for each level to perform specialized calculations. - Color Selection: Choose a unique color for each level to ensure clear differentiation. - Period Separator Settings: - Separator Color: Define the color of the separator lines to make them distinctly visible. - Separator Style: Choose between "Solid," "Dashed," or "Dotted" to adjust the style of the separator lines. - Separator Width: Set the width of the separator lines to match your chart aesthetics. - Label Management: - Label Style: Select how labels are displayed: - Default: Shows both percentage and price. - None: No labels are displayed. - Percentage: Shows only the Fibonacci level percentage. - Price: Shows only the price at the Fibonacci level. - Label Size: Adjust the size of the labels (tiny, small, normal, large, huge) for optimal readability. - Time Period Display: - Show Time Period: Enable or disable the information box displaying the reference period. - Size: Choose the size of the information box (tiny, small, normal, large, huge, auto). - Positioning: Set the vertical (top, middle, bottom) and horizontal (left, center, right) position of the box. - Color Customization: Select the background and text color of the information box to integrate it into your chart design. 📈 Why Is the Higher Reference Period Important? The Ultimate Fibonacci Trading Tool leverages a higher reference period from the past to calculate Fibonacci levels. This approach offers several advantages: - Deeper Market Analysis: By considering longer timeframes, you can uncover major market movements and trends that might be hidden in shorter periods. - More Accurate Support and Resistance Levels: Higher timeframes provide more robust Fibonacci levels that are observed by many market participants. - Better Decision-Making Foundation: With a comprehensive view of the market, you can make more informed trading decisions and minimize potential risks. 🎯 How This Tool Enhances Your Trading Strategy: - Increased Efficiency: Automate complex calculations and save valuable time. - Personalized Analysis: Adapt the tool to your individual needs and strategies. - Enhanced Precision: Utilize precise Fibonacci levels to better determine entry and exit points. - Improved Market Insight: Gain deeper understanding of market trends and structures by using higher timeframes. 🚀 Get Started Now! Don't miss the opportunity to revolutionize your chart analysis. Integrate the Ultimate Fibonacci Trading Tool into your trading routine and benefit from more precise analyses and improved trading decisions. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards Chervolino
Индикатор Pine Script®
от chervolino
Time Based 3 Candle Model CRT FrameworkThe 3 Candle Model Overview: The 3 Candle Model serves as a sophisticated framework for traders to navigate the complexities of financial markets, particularly within futures and forex trading. This guide not only elaborates on the model's key features but also emphasizes its originality and practical usefulness in the TradingView community. The core principle of the 3 Candle Model revolves around understanding how candle patterns can represent significant price ranges, offering valuable insights into potential market movements. By integrating the model with other critical trading concepts such as the Power of Three (PO3), Open-High-Low-Close (OHLC), and Turtle Soup setups, traders can enhance their ability to identify high-probability trades and achieve better trading outcomes. Indicator includes: 3 Customizable Timeframe choices to fractally frame 3 candle models for precision Live Timers for each timeframe to always be aware of the models timing Parent Candle tracking on every preffered timeframe until new models parent candle is printed Key Features of the 3 Candle Model The 3 Candle Model primarily utilizes a three-candle structure, where the first candle establishes a price range, the second candle may act as a confirmation (often termed a "turtle soup"), and the third candle provides the breakout or continuation. This structure is pivotal in determining entry and exit points for trades, ensuring that each trading decision is backed by solid price action analysis. OHLC Principle: The Open-High-Low-Close (OHLC) concept is integral to the 3 Candle Model, allowing traders to analyze price action more effectively. Understanding the relationship between these four price points helps traders gauge market sentiment and potential reversals. By incorporating OHLC into the model, traders can develop a deeper understanding of market structure and its implications for future price movements. Delivery States: The 3 Candle Model emphasizes the importance of delivery states, which refer to the market's phase during specific time frames. Recognizing these states aids traders in determining the appropriate conditions for entering trades, particularly when combined with the power of three and candle range patterns. This understanding is crucial for positioning trades in alignment with market momentum. High Probability Setups: By aligning the 3 Candle Model with inside bar setups, traders can optimize their strategies for high-probability outcomes. This approach capitalizes on the inherent fractal nature of price movements, where previous patterns repeat at different scales. The combination of the model and inside bar setups enhances the trader's toolkit, allowing for more strategic trade placements. Turtle Soup Formation: The 3 Candle Model intricately connects with the Turtle Soup concept, which focuses on false breakouts. Identifying these formations at critical levels enhances the trader's ability to anticipate reversals or continuation patterns. The timing of these setups, particularly during specified times like 3:00 AM, 6:00 AM, 9:00 AM, and 1:00 PM, is crucial for maximizing trade success. Using the 3 Candle Model in Trading Integration with PO3: The Power of Three (PO3) is a fundamental aspect of the 3 Candle Model that emphasizes the significance of three distinct stages of price delivery. Traders can leverage this principle by observing the initial range, confirming patterns, and executing trades during the third phase, leading to higher risk-to-reward ratios. This three-stage approach enhances a trader's ability to make informed decisions based on market behavior. Targeting Midpoints: Successful application of the 3 Candle Model involves targeting the midpoints of identified ranges. This practice not only provides strategic entry points but also enhances the probability of reaching desired profit levels. By targeting these midpoints, traders can refine their exit strategies and manage risk more effectively. Aligning with Market Timing: Timing is everything in trading. By synchronizing the 3 Candle Model setups with the aforementioned key timeframes, traders can better position themselves to exploit market dynamics. This alignment also facilitates the identification of high-quality trades that exhibit strong potential for profitability. Prioritizing A+ Setups: By focusing on the 3 Candle Model and its associated concepts, traders can prioritize A+ setups that exhibit a strong alignment of factors. This methodical approach enhances the quality of trades taken, leading to improved overall performance. By cultivating a strategy centered on high-probability setups, traders can maximize their return on investment. Ensuring Originality and Usefulness To meet the TradingView community guidelines, it is essential that this script is both original and useful. The 3 Candle Model, in its essence, is designed to provide traders with a unique perspective on market movements, free from generic or rehashed strategies. This tool integrates unique interpretations of the three-candle model and the associated strategies that are distinctly articulated and innovative. Practical Applications: there are many practical applications of the 3 Candle Model in various trading contexts. This model in conjunction with other strategies to cultivate high-probability trade setups that can enhance performance across diverse market conditions. Educational Value: This script is crafted with educational value in mind, providing insights that extend beyond mere trading signals. It encourages users to develop a deeper understanding of market mechanics and the interplay between price action, time, and trader psychology. Conclusion The 3 Candle Model provides a comprehensive framework for traders to enhance their trading strategies in the futures and forex markets. By understanding and applying the principles of this model alongside the Power of Three, OHLC concepts, and Turtle Soup formations, traders can significantly improve their ability to identify high-probability trades. The emphasis on timing, delivery states, and alignment of ranges ensures that traders are well-equipped to navigate the complexities of market movements, ultimately leading to more consistent and rewarding trading outcomes. As trading involves risk, it is essential for traders to utilize these principles judiciously and maintain a disciplined approach to their trading strategies. By adhering to the TradingView community guidelines and emphasizing originality, usefulness, and detailed descriptions, this 3 Candle Model script stands as a valuable resource for traders seeking to refine their skills and achieve greater success in the financial markets. Through this detailed exploration of the 3 Candle Model, traders will not only learn to recognize and exploit key patterns in price action but also appreciate the interconnectedness of various trading strategies that can significantly enhance their performance and profitability.
Индикатор Pine Script®
от SpxGh0st
67
Grid Bot Parabolic [xxattaxx]🟩 The Grid Bot Parabolic, a continuation of the Grid Bot Simulator Series , enhances traditional gridbot theory by employing a dynamic parabolic curve to visualize potential support and resistance levels. This adaptability is particularly useful in volatile or trending markets, enabling traders to explore grid-based strategies and gain deeper market insights. The grids are divided into customizable trade zones that trigger signals as prices move into new zones, empowering traders to gain deeper insights into market dynamics and potential turning points. While traditional grid bots excel in ranging markets, the Grid Bot Parabolic’s introduction of acceleration and curvature adds new dimensions, enabling its use in trending markets as well. It can function as a traditional grid bot with horizontal lines, a tilted grid bot with linear slopes, or a fully parabolic grid with curves. This dynamic nature allows the indicator to adapt to various market conditions, providing traders with a versatile tool for visualizing dynamic support and resistance levels. 🔑 KEY FEATURES 🔑 Adaptable Grid Structures (Horizontal, Linear, Curved) Buy and Sell Signals with Multiple Trigger/Confirmation Conditions Secondary Buy and Secondary Sell Signals Projected Grid Lines Customizable Grid Spacing and Zones Acceleration and Curvature Control Sensitivity Adjustments 📐 GRID STRUCTURES 📐 Beyond its core parabolic functionality, the Parabolic Grid Bot offers a range of grid configurations to suit different market conditions and trading preferences. By adjusting the "Acceleration" and "Curvature" parameters, you can transform the grid's structure: Parabolic Grids Setting both acceleration and curvature to non-zero values results in a parabolic grid.This configuration can be particularly useful for visualizing potential turning points and trend reversals. Example: Accel = 10, Curve = -10) Linear Grids With a non-zero acceleration and zero curvature, the grid tilts to represent a linear trend, aiding in identifying potential support and resistance levels during trending phases. Example: Accel =1.75, Curve = 0 Horizontal Grids When both acceleration and curvature are set to zero, the indicator reverts to a traditional grid bot with horizontal lines, suitable for ranging markets. Example: Accel=0, Curve=0 ⚙️ INITIAL SETUP ⚙️ 1.Adding the Indicator to Your Chart Locate a Starting Point: To begin, visually identify a price point on your chart where you want the grid to start.This point will anchor your grid. 2. Setting Up the Grid Add the Grid Bot Parabolic Indicator to your chart. A “Start Time/Price” dialog will appear CLICK on the chart at your chosen start point. This will anchor the start point and open a "Confirm Inputs" dialog box. 3. Configure Settings. In the dialog box, you can set the following: Acceleration: Adjust how quickly the grid reacts to price changes. Curve: Define the shape of the parabola. Intervals: Determine the distance between grid levels. If you choose to keep the default settings, with acceleration set to 0 and curve set to 0, the grid will display as traditional horizontal lines. The grid will align with your selected price point, and you can adjust the settings at any time through the indicator’s settings panel. ⚙️ CONFIGURATION AND SETTINGS ⚙️ Grid Settings Accel (Acceleration): Controls how quickly the price reacts to changes over time. Curve (Curvature): Defines the overall shape of the parabola. Intervals (Grid Spacing): Determines the vertical spacing between the grid lines. Sensitivity: Fine tunes the magnitude of Acceleration and Curve. Buy Zones & Sell Zones: Define the number of grid levels used for potential buy and sell signals. * Each zone is represented on the chart with different colors: * Green: Buy Zones * Red: Sell Zones * Yellow: Overlap (Buy and Sell Zones intersect) * Gray: Neutral areas Trigger: Chooses which part of the candlestick is used to trigger a signal. * `Wick`: Uses the high or low of the candlestick * `Close`: Uses the closing price of the candlestick * `Midpoint`: Uses the middle point between the high and low of the candlestick * `SWMA`: Uses the Symmetrical Weighted Moving Average Confirm: Specifies how a signal is confirmed. * `Reverse`: The signal is confirmed if the price moves in the opposite direction of the initial trigger * `Touch`: The signal is confirmed when the price touches the specified level or zone Sentiment: Determines the market sentiment, which can influence signal generation. * `Slope`: Sentiment is based on the direction of the curve, reflecting the current trend * `Long`: Sentiment is bullish, favoring buy signals * `Short`: Sentiment is bearish, favoring sell signals * `Neutral`: Sentiment is neutral. No secondary signals will be generated Show Signals: Toggles the display of buy and sell signals on the chart Chart Settings Grid Colors: These colors define the visual appearance of the grid lines Projected: These colors define the visual appearance of the projected lines Parabola/SWMA: Adjust colors as needed. These are disabled by default. Time/Price Start Time & Start Price: These set the starting point for the parabolic curve. * These fields are automatically populated when you add the indicator to the chart and click on an initial location * These can be adjusted manually in the settings panel, but he easiest way to change these is by directly interacting with the start point on the chart Please note: Time and Price must be adjusted for each chart when switching assets. For example, a Start Price on BTCUSD of $60,000 will not work on an ETHUSD chart. 🤖 ALGORITHM AND CALCULATION 🤖 The Parabolic Function At the core of the Parabolic Grid Bot lies the parabolic function, which calculates a dynamic curve that adapts to price action over time. This curve serves as the foundation for visualizing potential support and resistance levels. The shape and behavior of the parabola are influenced by three key user-defined parameters: Acceleration: This parameter controls the rate of change of the curve's slope, influencing its tilt or steepness. A higher acceleration value results in a more pronounced tilt, while a lower value leads to a gentler slope. This applies to both curved and linear grid configurations. Curvature: This parameter introduces and controls the curvature or bend of the grid. A higher curvature value results in a more pronounced parabolic shape, while a lower value leads to a flatter curve or even a straight line (when set to zero). Sensitivity: This setting fine-tunes the overall responsiveness of the grid, influencing how strongly the Acceleration and Curvature parameters affect its shape. Increasing sensitivity amplifies the impact of these parameters, making the grid more adaptable to price changes but potentially leading to more frequent adjustments. Decreasing sensitivity reduces their impact, resulting in a more stable grid structure with fewer adjustments. It may be necessary to adjust Sensitivity when switching between different assets or timeframes to ensure optimal scaling and responsiveness. The parabolic function combines these parameters to generate a curve that visually represents the potential path of price movement. By understanding how these inputs influence the parabola's shape and behavior, traders can gain valuable insights into potential support and resistance areas, aiding in their decision-making process. Sentiment The Parabolic Grid Bot incorporates sentiment to enhance signal generation. The "Sentiment" input allows you to either: Manually specify the market sentiment: Choose between 'Long' (bullish), 'Short' (bearish), or 'Neutral'. Let the script determine sentiment based on the slope of the parabolic curve: If 'Slope' is selected, the sentiment will be considered 'Long' when the curve is sloping upwards, 'Short' when it's sloping downwards, and 'Neutral' when it's flat. Buy and Sell Signals The Parabolic Grid Bot generates buy and sell signals based on the interaction between the price and the grid levels. Trigger: The "Trigger" input determines which part of the candlestick is used to trigger a signal (wick, close, midpoint, or SWMA). Confirmation: The "Confirm" input specifies how a signal is confirmed ('Reverse' or 'Touch'). Zones: The number of "Buy Zones" and "Sell Zones" determines the areas on the grid where buy and sell signals can be generated. When the trigger condition is met within a buy zone and the confirmation criteria are satisfied, a buy signal is generated. Similarly, a sell signal is generated when the trigger and confirmation occur within a sell zone. Secondary Signals Secondary signals are generated when a regular buy or sell signal contradicts the prevailing sentiment. For example: A buy signal in a bearish market (Sentiment = 'Short') would be considered a "secondary buy" signal. A sell signal in a bullish market (Sentiment = 'Long') would be considered a "secondary sell" signal. These secondary signals are visually represented on the chart using hollow triangles, differentiating them from regular signals (filled triangles). While they can be interpreted as potential contrarian trade opportunities, secondary signals can also serve other purposes within a grid trading strategy: Exit Signals: A secondary signal can suggest a potential shift in market sentiment or a weakening trend. This could be a cue to consider exiting an existing position, even if it's currently profitable, to lock in gains before a potential reversal Risk Management: In a strong trend, secondary signals might offer opportunities for cautious counter-trend trades with controlled risk. These trades could utilize smaller position sizes or tighter stop-losses to manage potential downside if the main trend continues Dollar-Cost Averaging (DCA): During a prolonged trend, the parabolic curve might generate multiple secondary signals in the opposite direction. These signals could be used to implement a DCA strategy, gradually accumulating a position at potentially favorable prices as the market retraces or consolidates within the larger trend Secondary signals should be interpreted with caution and considered in conjunction with other technical indicators and market context. They provide additional insights into potential market reversals or consolidation phases within a broader trend, aiding in adapting your grid trading strategy to the evolving market dynamics. Examples Trigger=Wick, Confirm=Touch. Signals are generated when the wick touches the next gridline. Trigger=Close, Confirm=Touch. Signals require the close to touch the next gridline. Trigger=SWMA, Confirm=Reverse. Signals are triggered when the Symmetrically Weighted Moving Average reverse crosses the next gridline. 🧠THEORY AND RATIONALE 🧠 The innovative approach of the Parabolic Grid Bot can be better understood by first examining the limitations of traditional grid trading strategies and exploring how this indicator addresses them by incorporating principles of market cycles and dynamic price behavior Traditional Grid Bots: One-Dimensional and Static Traditional grid bots operate on a simple premise: they divide the price chart into a series of equally spaced horizontal lines, creating a grid of trading zones. These bots excel in ranging markets where prices oscillate within a defined range. Buy and sell orders are placed at these grid levels, aiming to profit from mean reversion as prices bounce between the support and resistance zones. However, traditional grid bots face challenges in trending markets. As the market moves in one direction, the bot continues to place orders in that direction, leading to a stacking of positions. If the market eventually reverses, these stacked trades can be profitable, amplifying gains. But the risk lies in the potential for the market to continue trending, leaving the trader with a series of losing trades on the wrong side of the market The Parabolic Grid Bot: Adding Dimensions The Parabolic Grid Bot addresses the limitations of traditional grid bots by introducing two additional dimensions: Acceleration (Second Dimension): This parameter introduces a second dimension to the grid, allowing it to tilt upwards or downwards to align with the prevailing market trend. A positive acceleration creates an upward-sloping grid, suitable for uptrends, while a negative acceleration results in a downward-sloping grid, ideal for downtrends. The magnitude of acceleration controls the steepness of the tilt, enabling you to fine-tune the grid's responsiveness to the trend's strength Curvature (Third Dimension): This parameter adds a third dimension to the grid by introducing a parabolic curve. The curve's shape, ranging from gentle bends to sharp turns, is controlled by the curvature value. This flexibility allows the grid to closely mirror the market's evolving structure, potentially identifying turning points and trend reversals. Mean Reversion in Trending Markets Even in trending markets, the Parabolic Grid Bot can help identify opportunities for mean reversion strategies. While the grid may be tilted to reflect the trend, the buy and sell zones can capture short-term price oscillations or consolidations within the broader trend. This allows traders to potentially pinpoint entry and exit points based on temporary pullbacks or reversals. Visualize and Adapt The Parabolic Grid Bot acts as a visual aid, enhancing your understanding of market dynamics. It allows you to "see the curve" by adapting the grid to the market's patterns. If the market shows a parabolic shape, like an upward curve followed by a peak and a downward turn (similar to a head and shoulders pattern), adjust the Accel and Curve to match. This highlights potential areas of interest for further analysis. Beyond Straight Lines: Visualizing Market Cycle Traditional technical analysis often employs straight lines, such as trend lines and support/resistance levels, to interpret market movements. However, many analysts, including Brian Millard, contend that these lines can be misleading. They propose that what might appear as a straight line could represent just a small part of a larger curve or cycle that's not fully visible on the chart. Markets are inherently cyclical, marked by phases of expansion, contraction, and reversal. The Parabolic Grid Bot acknowledges this cyclical behavior by offering a dynamic, curved grid that adapts to these shifts. This approach helps traders move beyond the limitations of straight lines and visualize potential support and resistance levels in a way that better reflects the market's true nature By capturing these cyclical patterns, whether subtle or pronounced, the Parabolic Grid Bot offers a nuanced understanding of market dynamics, potentially leading to more accurate interpretations of price action and informed trading decisions. ⚠️ DISCLAIMER⚠️ This indicator utilizes a parabolic curve fitting approach to visualize potential support and resistance levels. The mathematical formulas employed have been designed with adaptability and scalability in mind, aiming to accommodate various assets and price ranges. While the resulting curves may visually resemble parabolas, it's important to note that they might not strictly adhere to the precise mathematical definition of a parabola. The indicator's calculations have been tested and generally produce reliable results. However, no guarantees are made regarding their absolute mathematical accuracy. Traders are encouraged to use this tool as part of their broader analysis and decision-making process, combining it with other technical indicators and market context. Please remember that trading involves inherent risks, and past performance is not indicative of future results. It is always advisable to conduct your own research and exercise prudent risk management before making any trading decisions. 🧠 BEYOND THE CODE 🧠 The Parabolic Grid Bot, like the other grid bots in this series, is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new grid trading strategies. We hope this indicator serves as a framework and a starting point for future innovations in the field of grid trading. Your comments, suggestions, and discussions are invaluable in shaping the future of this project. We welcome your feedback and look forward to seeing how you utilize and enhance the Parabolic Grid Bot.
Индикатор Pine Script®
от xxattaxx
9
Uptrick: Dual Moving Average Volume Oscillator Title: Uptrick: Dual Moving Average Volume Oscillator (DPVO) ### Overview The "Uptrick: Dual Moving Average Volume Oscillator" (DPVO) is an advanced trading tool designed to enhance market analysis by integrating volume data with price action. This indicator is specially developed to provide traders with deeper insights into market dynamics, making it easier to spot potential entry and exit points based on volume and price interactions. The DPVO stands out by offering a sophisticated approach to traditional volume analysis, setting it apart from typical volume indicators available on the TradingView platform. ### Unique Features Unlike traditional indicators that analyze volume and price movements separately, the DPVO combines these two critical elements to offer a comprehensive view of market behavior. By calculating the Volume Impact, which involves the product of the exponential moving averages (EMAs) of volume and the price range (close - open), this indicator highlights significant trading activities that could indicate strong buying or selling pressure. This method allows traders to see not just the volume spikes, but how those spikes relate to price movements, providing a clearer picture of market sentiment. ### Customization and Inputs The DPVO is highly customizable, catering to various trading styles and strategies: - **Oscillator Length (`oscLength`)**: Adjusts the period over which the volume and price difference is analyzed, allowing traders to set it according to their trading timeframe. - **Fast and Slow Moving Averages (`fastMA` and `slowMA`)**: These parameters control the responsiveness of the DPVO. A shorter `fastMA` coupled with a longer `slowMA` can help in identifying trends quicker or smoothing out market noise for more conservative approaches. - **Signal Smoothing (`signalSmooth`)**: This input helps in reducing signal noise, making the crossover and crossunder points between the DVO and its smoothed signal line clearer and easier to interpret. ### Functionality Details The DPVO operates through a sequence of calculated steps that integrate volume data with price movement: 1. **Volume Impact Calculation**: This is the foundational step where the product of the EMA of volume and the EMA of price range (close - open) is calculated. This metric highlights trading sessions where significant volume accompanies substantial price movements, suggesting a strong market response. 2. **Dynamic Volume Oscillator (DVO)**: The heart of the indicator, the DVO, is derived by calculating the difference between the fast EMA and the slow EMA of the Volume Impact. This result is then normalized by dividing by the EMA of the volume over the same period to scale the output, making it consistent across various trading environments. 3. **Signal Generation**: The final output is smoothed using a simple moving average of the DVO to filter out market noise. Buy and sell signals are generated based on the crossover and crossunder of the DVO with its smoothed version, providing clear cues for market entry or exit. ### Originality The DPVO's originality lies in its innovative integration of volume and price movement, a novel approach not typically observed in other volume indicators. By analyzing the product of volume and price change EMAs, the DPVO captures the essence of market dynamics more holistically than traditional tools, which often only reflect volume levels without contextualizing them with price actions. This dual analysis provides traders with a deeper understanding of market forces, enabling them to make more informed decisions based on a combination of volume surges and significant price movements. The DPVO also introduces a unique normalization and smoothing technique that refines the oscillator's output, offering cleaner and more reliable signals that are adaptable to various market conditions and trading styles. ### Practical Application The DPVO excels in environments where volume plays a crucial role in validating price movements. Traders can utilize the buy and sell signals generated by the DPVO to enhance their decision-making process. The signals are plotted directly on the trading chart, with buy signals appearing below the price bars and sell signals above, ensuring they are prominent and actionable. This setup is particularly useful for day traders and swing traders who rely on timely and accurate signals to maximize their trading opportunities. ### Best Practices To maximize the effectiveness of the DPVO, traders should consider the following best practices: - **Market Selection**: Use the DPVO in markets known for strong volume-price correlation such as major forex pairs, popular stocks, and cryptocurrencies. - **Signal Confirmation**: While the DPVO provides powerful signals, confirming these signals with additional indicators such as RSI or MACD can increase trade reliability. - **Risk Management**: Always use stop-loss orders to manage risks associated with trading signals. Adjust the position size based on the volatility of the asset to avoid significant losses. ### Practical Example + How to use it Practical Example1: Day Trading Cryptocurrencies For a day trader focusing on the highly volatile cryptocurrency market, the DPVO can be an effective tool on a 15-minute chart. Suppose a trader is monitoring Bitcoin (BTC) during a period of high market activity. The DPVO might show an upward crossover of the DVO above its smoothed signal line while also indicating a significant increase in volume. This could signal that strong buying pressure is entering the market, suggesting a potential short-term rally. The trader could enter a long position based on this signal, setting a stop-loss just below the recent support level to manage risk. If the DPVO later shows a crossover in the opposite direction with decreasing volume, it might signal a good exit point, allowing the trader to lock in profits before a potential pullback. - **Swing Trading Stocks**: For a swing trader looking at stocks, the DPVO could be applied on a daily chart. If the oscillator shows a consistent downward trend along with increasing volume, this could suggest a potential sell-off, providing a sell signal before a significant downturn. You can look for: --> Increase in volume - You can use indicators like 24-hour-Volume to have a better visualization --> Uptrend/Downtrend in the indicator (HH, HL, LL, LH) --> Confirmation (Buy signal/Sell signal) --> Correct Price action (Not too steep moves up or down. Stable moves.) (Optional) --> Confirmation with other indicators (Optional) Quick image showing you an example of a buy signal on SOLANA: ### Technical Notes - **Calculation Efficiency**: The DPVO utilizes exponential moving averages (EMAs) in its calculations, which provides a balance between responsiveness and smoothing. EMAs are favored over simple moving averages in this context because they give more weight to recent data, making the indicator more sensitive to recent market changes. - **Normalization**: The normalization of the DVO by the EMA of the volume ensures that the oscillator remains consistent across different assets and timeframes. This means the indicator can be used on a wide variety of markets without needing significant adjustments, making it a versatile tool for traders. - **Signal Line Smoothing**: The final signal line is smoothed using a simple moving average (SMA) to reduce noise. The choice of SMA for smoothing, as opposed to EMA, is intentional to provide a more stable signal that is less prone to frequent whipsaws, which can occur in highly volatile markets. - **Lag and Sensitivity**: Like all moving average-based indicators, the DPVO may introduce a slight lag in signal generation. However, this is offset by the indicator’s ability to filter out market noise, making it a reliable tool for identifying genuine trends and reversals. Adjusting the `fastMA`, `slowMA`, and `signalSmooth` inputs allows traders to fine-tune the sensitivity of the DPVO to match their specific trading strategy and market conditions. - **Platform Compatibility**: The DPVO is written in Pine Script™ v5, ensuring compatibility with the latest features and functionalities offered by TradingView. This version takes advantage of optimized functions for performance and accuracy in calculations, making it well-suited for real-time analysis. Conclusion The "Uptrick: Dual Moving Average Volume Oscillator" is a revolutionary tool that merges volume analysis with price movement to offer traders a more nuanced understanding of market trends and reversals. Its ability to provide clear, actionable signals based on a unique combination of volume and price changes makes it an invaluable addition to any trader's toolkit. Whether you are managing long-term positions or looking for quick trades, the DPVO provides insights that can help refine any trading strategy, making it a standout choice in the crowded field of technical indicators. Nothing from this indicator or any other Uptrick Indicators is financial advice. Only you are ultimately responsible for your choices.
Индикатор Pine Script®
от Uptrick
2
VIX-Heatmap [CrossTrade]The "VIX-Heatmap" is a sophisticated and informative indicator designed for traders who want to integrate volatility analysis into their trading strategy, especially focusing on the market's fear gauge, the VIX (Volatility Index). This tool is not just about plotting numbers; it's about visualizing market sentiment in a more intuitive and impactful way. Key Features and Customization Options: 1. Primary Functionality: At its core, the VIX-Heatmap tracks the daily closing price of the VIX. It provides a clear, line-based visualization, with the line color set to black for stark contrast and easy visibility. 2. Segmented Volatility Levels: The indicator allows users to set multiple VIX levels: Danger Zone (super low VIX level), and Levels 1 through 5. These levels are represented as horizontal lines on the chart, offering a structured view of different volatility thresholds. 3. Customizable Thresholds: Traders can input their preferred values for each level, tailoring the indicator to fit their perception of market risk and volatility. This customization makes the tool versatile for different trading styles and market conditions. 4. Heatmap Visualization: The chart's background color changes based on the VIX level, creating a "heatmap" effect. This visual representation allows traders to quickly gauge the current market sentiment. The color intensity varies from white (for extremely low VIX values) through various shades of red, increasing in intensity with higher VIX levels. This gradient provides an immediate visual cue of rising or falling market anxiety. 5. Interactive Display: The indicator includes an interactive table display at the bottom center of the chart that shows the current VIX level in large, bold text, ensuring that it catches the trader's eye. 6. Optional Background Coloring: Users have the option to enable or disable the heatmap feature. When enabled, the chart's background reflects the VIX level with the corresponding color, enhancing the visual impact of the data. Applications and Benefits: The VIX-Heatmap is ideal for traders who base their decisions not only on price movements but also on market sentiment and volatility. Its color-coded heatmap approach simplifies the interpretation of the VIX data, making it accessible even to those who may not be deeply familiar with volatility indices. By offering a quick visual summary of current market fear levels, it aids in making informed decisions, especially in times of market uncertainty. In summary, the VIX-Heatmap transforms the traditional VIX data into an interactive, visually engaging, and easy-to-interpret format.
Индикатор Pine Script®
от CrossTradeTeam
RSI Momentum [CrossTrade]The RSI Momentum indicator generates buy and sell signals based on the Relative Strength Index (RSI) crossing specific thresholds. The Key difference is that we're using RSI overbought and oversold readings as the foundation for finding continuation signals in the same direction of that momentum. This solves the issue of trying to buy the bottom or sell the top and offsets any oscillators main weakness, divergence and false signals in a strong trend. Key Parameters: RSI Length: Determines the calculation period for the RSI. Overbought Threshold: The RSI level above which the asset is considered overbought. Momentum Loss Threshold for Buy: The RSI level below which a loss in upward momentum is indicated, triggering a potential buy signal. Oversold Threshold: The RSI level below which the asset is considered oversold. Momentum Loss Threshold for Sell: The RSI level above which a loss in downward momentum is indicated, triggering a potential sell signal. Allow Additional Retracement Signals: A toggle to allow more than one signal within a certain number of bars after the first signal. Max Additional Signals: The maximum number of additional signals allowed after the first signal. Buy Signal Logic: Initial Signal: Generated when the RSI first exceeds the overbought threshold and then falls below the momentum loss buy threshold. Defaults are 70 for the overbought threshold and 60 for the retracement level. Additional Signals for Deeper Retracements: If enabled, the script shows additional buy signals within the maximum limit set by Max Additional Signals. These additional signals are shown only if each new signal's bar has a lower low than the previous signal's bar. Sell Signal Logic: Initial Signal: Similar to the buy signal, a sell signal is generated when the RSI first drops below the oversold threshold and then rises above the momentum loss sell threshold. Defaults are 30 for the oversold threshold and 40 for the retracement level. Additional Signals for Deeper Retracements: If enabled, additional sell signals are shown, limited by Max Additional Signals, and only if each new signal's bar has a higher high than the previous signal's bar. Continuation Signals in Strong Trends: The script allows for a new series of signals (starting with the first signal again) when the RSI pattern repeats. For buy signals, this means going above the overbought and then below the momentum loss buy threshold. For sell signals, it's dropping below oversold and then above the momentum loss sell threshold. Alerts: The script includes alert conditions for both buy and sell signals, which can be configured in the TradingView alerts.
Индикатор Pine Script®
от CrossTradeTeam
MTF Volume Flow IndicatorThe MTF Volume Flow Indicator (MTF VFI) is an advanced and versatile tool that enhances market analysis by tracking the flow of volume across multiple timeframes. By integrating volume flow with multi-timeframe analysis, this indicator provides traders with a comprehensive understanding of market trends, momentum, and potential reversals. Key Features Multi-Timeframe Volume Flow Analysis: The MTF VFI computes the Volume Flow Indicator across various timeframes, ranging from 1 minute to 1 month. This multi-timeframe analysis enables traders to observe and compare volume flow dynamics across different time horizons, offering deeper insights into market behavior. Customizable VFI Settings: The indicator includes configurable VFI parameters such as length, coefficient, and volume cutoff, allowing users to tailor the analysis to different market conditions and trading strategies. This flexibility ensures that the indicator remains relevant across diverse market environments. Signal Line and Delta Calculations: The script features a signal line derived from the VFI and calculates the delta values (the difference between VFI and the signal line). These delta values are essential for identifying potential buy or sell signals and are presented as histograms for easy visual interpretation. Cumulative Delta with Dynamic Bands: The indicator introduces cumulative delta, a powerful tool that combines average and median VFI values to provide a clearer picture of market sentiment. Two standard deviation bands are plotted around the cumulative delta, offering a range within which price movements are likely to remain. These bands are smoothed using a 21-period EMA, providing a more refined view of market volatility. Multi-Timeframe and Analysis Tables: The MTF VFI includes optional tables that display VFI, signal line, and delta values across all selected timeframes. Additionally, an analysis table presents key statistical metrics such as the highest, lowest, average, standard deviation, range, and median VFI values. These tables provide a concise summary of market conditions, aiding in strategic decision-making. Dynamic Display Options: The indicator offers extensive customization options, allowing traders to display or hide elements such as delta histograms, delta bands, and tables. This ensures that users can focus on the most relevant information for their trading strategy. Neutral Candle Coloring Option: Traders can enable neutral candle colors, where bearish candles are gray and bullish candles are white. This feature helps to reduce noise and maintain focus on the overall trend and volume flow analysis. How It Works Volume Flow Indicator Calculation: The VFI is calculated using a combination of typical price, volume, and the standard deviation of price changes. The indicator smooths the VFI based on user preferences, allowing traders to adjust the sensitivity of the analysis to better match their trading style. Multi-Timeframe Integration: The script pulls VFI calculations from multiple timeframes, providing a holistic view of market trends. By analyzing VFI across different timeframes, traders can detect alignments or divergences in volume flow that might indicate trend strength or weakness. Cumulative Delta and Dynamic Bands: The cumulative delta is computed by combining the average and median VFI values. Dynamic two-standard-deviation bands are plotted around this cumulative delta, providing upper and lower bounds for expected price movements. These bands are further smoothed with a 21-period EMA, enhancing their effectiveness in volatile markets. Delta Analysis and Histogram Display: The difference between the VFI and its signal line (delta) is calculated and displayed as histograms. This visual representation helps traders quickly assess momentum and identify potential reversals or trend continuations. The cumulative delta is color-coded dynamically based on its direction, adding an extra layer of visual clarity. Alerts VFI Crossover Alerts: The indicator includes customizable alerts that notify traders when the VFI crosses above or below its signal line. These alerts are crucial for catching potential trend reversals or continuation signals, even when the trader is not actively monitoring the chart. Customizable Alert Conditions: Traders can tailor alert conditions to their preferred timeframes and VFI settings, ensuring that the notifications they receive are relevant and timely for their specific trading strategies. Application Trend Identification and Confirmation: The MTF VFI aids in identifying and confirming trends by analyzing volume flow across multiple timeframes. This capability is particularly useful for detecting trends that may not be visible on a single timeframe. Momentum and Divergence Analysis: By comparing VFI and delta values across timeframes, and analyzing cumulative delta with dynamic bands, traders can gain insights into market momentum and potential divergences, which are often precursors to reversals. Strategic Decision-Making: With its comprehensive multi-timeframe analysis, cumulative delta, and statistical summaries, the MTF VFI equips traders with the information needed to make informed trading decisions, whether for short-term trades or long-term investments. Visual Clarity and Customization: The indicator’s dynamic display options and neutral candle coloring help traders maintain a clear and focused view of the market, customizing the visualization to match their specific needs. The MTF Volume Flow Indicator (MTF VFI) by CryptoSea is an essential tool for traders who seek to gain a deeper understanding of market trends and volume dynamics across multiple timeframes. Its advanced features and customization options make it a valuable addition to any trader’s toolkit.
Индикатор Pine Script®
от CryptoSeaTV
1
Negroni Opening Range StrategyStrategy Summary: This tool can be used to help identify breakouts from a range during a time-zone of your choosing. It plots a pre-market range, an opening range, it also includes moving average levels that can be used as confluence, as well as plotting previous day SESSION highs and lows. There are several options on how you wish to close out the trades, all described in more detail below. Back-testing Inputs: You define your timezone. You define how many trades to open on any given day. You decide to go: long only, short only, or long & short (CAREFUL: "Long & Short" can open trades that effectively closes-out existing ones, for better AND worse!) You define between which times the strategy will open trades. You define when it closes any open trades (preventing overnight trades, or leaving trades open into US data times!!). This hopefully helps make back-testing reflect YOUR trading hours. NOTE: Renko or Heikin-Ashi charts For ALL strategies, don’t use Renko or Heikin-Ashi charts unless you know EXACTLY the implications. Specific to my strategy, using a renko chart can make this 85-90% profitable (I wish it was!!) Although they can be useful, renko charts don’t always capture real wicks, so the renko chart may show your trade up-only but your broker (who is not using renko!!) will have likely stopped you out on a wick somewhere along the line. NOTE: TradingView ‘Deep backtesting’ For ALL strategies, be cynical of all backtesting (e.g. repainting issues etc) as well as ‘Deep backtesting’ results. Specific to this strategy, the default settings here SHOULD BE OK, but unfortunately at the time of writing, we can’t see on the chart what exactly ‘deep backtesting’ is calculating. In the past I have noted a number of trades that were not closed at the end of the day, despite my ‘end of day’ trade closing being enabled, so there were big winners and losers that would not have materialized otherwise. As I say, this seems ok at these settings but just always be cynical!! Opening Range Inputs You define a pre-market range (example: 08:00 - 09:00). You define an opening range (example: 09:00 - 09:30). The strategy will give an update at the close of the opening range to let you know if the opening range has broken out the pre-market range (OR Breakout), or if it has remained inside (OR Inside). The label appears at the end of the opening range NOT at the bar that ‘broke-out’. This is just a visual cue for you, it has no bearing on what the strategy will do. The strategy default will trade off the pre-market range, but you can untick this if you prefer to trade off the opening range. Opening Trades: Strategy goes long when the bar (CLOSE) crosses-over the ‘pre-market’ high (not the ‘opening range’ high); and the time is within your trading session, and you have not maxed out your number of trades for the day! Strategy goes short when the bar (CLOSE) crosses-under the ‘pre-market’ low (not the ‘opening range low); and the time is within your trading session, and you have not maxed out your number of trades for the day! Remember, you can untick this if you prefer to trade off the opening range instead. NOTES: Using momentum indicators can help (RSI and MACD): especially to trade range plays in failed breakouts, when momentum shifts… but the strategy won’t do this for you! Using an anchored vwap at the session open can also provide nice confluence, as well as take-profit levels at the upper/lower of 3x standard deviation. CLOSING TRADES: You have 6 take-profit (TP) options: 1) Full TP: uses ATR Multiplier - Full TP at the ATR parameters as defined in inputs. 2) Take Partial profits: ATR Multiplier - Takes partial profits based on parameters as defined in inputs (i.e close 40% of original trade at TP1, close another 40% of original trade at TP2, then the remainder at Full TP as set in option 1.). 3) Full TP: Trailing Stop - Applies a Trailing Stop at the number of points, as defined in inputs. 4) Full TP: MA cross - Takes profit when price crosses ‘Trend MA’ as defined in inputs. 5) Scalp: Points - closes at a set number of points, as defined in inputs. 6) Full TP: PMKT Multiplier - places a SL at opposite pre-market Hi/Low (we go long at a break-out of the pre-market high, 50% would place a SL at the pre-market range mid-point; 100% would place a SL at the pre-market low)'. This takes profit at the input set in option 1).
Стратегия Pine Script®
от RoyalNegroni
1
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Индикатор Pine Script®
от WeloTrades
4
test - ClassificationTensor-Based Classification Experiment This innovative script represents an experimental foray into classification techniques, specifically designed to analyze returns within a compact time frame. By leveraging tensor-based analytics, it generates a comprehensive table that visually illustrates the distribution of counts across both current and historical bars, providing valuable insights into market patterns. The script's primary objective is to classify returns over a small window, using this information to inform trading decisions. The output table showcases a normal distribution of count values for each bar in the lookback period, allowing traders to gain a deeper understanding of market behavior and identify potential opportunities. Key Features: Experimental classification approach utilizing tensor-based analytics Compact time frame analysis (small window) Comprehensive table displaying return counts across current and historical bars Normal distribution visualization for better insight into market patterns By exploring this script, traders can gain a deeper understanding of the underlying dynamics driving market movements and develop more effective trading strategies.
Индикатор Pine Script®
от RicardoSantos
3
All Harmonic Patterns [theEccentricTrader]█   OVERVIEW This indicator automatically draws and sends alerts for all of the harmonic patterns in my public library as they occur. The patterns included are as follows: • Bearish 5-0 • Bullish 5-0 • Bearish ABCD • Bullish ABCD • Bearish Alternate Bat • Bullish Alternate Bat • Bearish Bat • Bullish Bat • Bearish Butterfly • Bullish Butterfly • Bearish Cassiopeia A • Bullish Cassiopeia A • Bearish Cassiopeia B • Bullish Cassiopeia B • Bearish Cassiopeia C • Bullish Cassiopeia C • Bearish Crab • Bullish Crab • Bearish Deep Crab • Bullish Deep Crab • Bearish Cypher • Bullish Cypher • Bearish Gartley • Bullish Gartley • Bearish Shark • Bullish Shark • Bearish Three-Drive • Bullish Three-Drive █   CONCEPTS Green and Red Candles • A green candle is one that closes with a close price equal to or above the price it opened. • A red candle is one that closes with a close price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Upper Trends • A return line uptrend is formed when the current peak price is higher than the preceding peak price. • A downtrend is formed when the current peak price is lower than the preceding peak price. • A double-top is formed when the current peak price is equal to the preceding peak price. Lower Trends • An uptrend is formed when the current trough price is higher than the preceding trough price. • A return line downtrend is formed when the current trough price is lower than the preceding trough price. • A double-bottom is formed when the current trough price is equal to the preceding trough price. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Figure 1. Retracement and Extension Ratios Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range. Fibonacci Retracement and Extension Ratios The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144. The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak. Measurement Tolerances Tolerance refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. I have applied this concept in my pattern detection logic and have set default tolerances where applicable, as perfect patterns are, needless to say, very rare. Chart Patterns Generally speaking price charts are nothing more than a series of swing highs and swing lows. When demand outweighs supply over a period of time prices swing higher and when supply outweighs demand over a period of time prices swing lower. These swing highs and swing lows can form patterns that offer insight into the prevailing supply and demand dynamics at play at the relevant moment in time. ‘Let us assume… that you the reader, are not a member of that mysterious inner circle known to the boardrooms as “the insiders”… But it is fairly certain that there are not nearly so many “insiders” as amateur trader supposes and… It is even more certain that insiders can be wrong… Any success they have, however, can be accomplished only by buying and selling… hey can do neither without altering the delicate poise of supply and demand that governs prices. Whatever they do is sooner or later reflected on the charts where you… can detect it. Or detect, at least, the way in which the supply-demand equation is being affected… So, you do not need to be an insider to ride with them frequently… prices move in trends. Some of those trends are straight, some are curved; some are brief and some are long and continued… produced in a series of action and reaction waves of great uniformity. Sooner or later, these trends change direction; they may reverse (as from up to down), or they may be interrupted by some sort of sideways movement and then, after a time, proceed again in their former direction… when a price trend is in the process of reversal… a characteristic area or pattern takes shape on the chart, which becomes recognisable as a reversal formation… Needless to say, the first and most important task of the technical chart analyst is to learn to know the important reversal formations and to judge what they may signify in terms of trading opportunities’ (Edwards & Magee, 1948). This is as true today as it was when Edwards and Magee were writing in the first half of the last Century, study your patterns and make judgements for yourself about what their implications truly are on the markets and timeframes you are interested in trading. Over the years, traders have come to discover a multitude of chart and candlestick patterns that are supposed to pertain information on future price movements. However, it is never so clear cut in practice and patterns that where once considered to be reversal patterns are now considered to be continuation patterns and vice versa. Bullish patterns can have bearish implications and bearish patterns can have bullish implications. As such, I would highly encourage you to do your own backtesting. There is no denying that chart patterns exist, but their implications will vary from market to market and timeframe to timeframe. So it is down to you as an individual to study them and make decisions about how they may be used in a strategic sense. Harmonic Patterns The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements. The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves. Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern. █   INPUTS • Change pattern and label colours • Show or hide patterns individually • Adjust pattern tolerances • Set or remove alerts for individual patterns █   NOTES You can test the patterns with your own strategies manually by applying the indicator to your chart while in bar replay mode and playing through the history. You could also automate this process with PineScript by using the conditions from my swing and pattern libraries as entry conditions in the strategy tester or your own custom made strategy screener. █   LIMITATIONS All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. █   SOURCES Edwards, R., & Magee, J. (1948) Technical Analysis of Stock Trends (10th edn). Reprint, Boca Raton, Florida: Taylor and Francis Group, CRC Press: 2013.
Индикатор Pine Script®
от theEccentricTrader
2
PubLibPatternLibrary "PubLibPattern" pattern conditions for indicator and strategy development bear_5_0(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bearish 5-0 harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bull_5_0(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bullish 5-0 harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bear_abcd(bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bearish abcd harmonic pattern condition   Parameters:      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bull_abcd(bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bullish abcd harmonic pattern condition   Parameters:      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bear_alt_bat(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish alternate bat harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_alt_bat(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish alternate bat harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_bat(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish bat harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_bat(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish bat harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_butterfly(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish butterfly harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_butterfly(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish butterfly harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_cassiopeia_a(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bearish cassiopeia a harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bull_cassiopeia_a(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bullish cassiopeia a harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bear_cassiopeia_b(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bearish cassiopeia b harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bull_cassiopeia_b(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bullish cassiopeia b harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bear_cassiopeia_c(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bearish cassiopeia c harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bull_cassiopeia_c(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol)   bullish cassiopeia c harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)   Returns: bool bear_crab(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish crab harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_crab(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish crab harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_deep_crab(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish deep crab harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_deep_crab(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish deep crab harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_cypher(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, xc_low_tol, xc_up_tol)   bearish cypher harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      xc_low_tol (float)      xc_up_tol (float)   Returns: bool bull_cypher(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, xc_low_tol, xc_up_tol)   bullish cypher harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      xc_low_tol (float)      xc_up_tol (float)   Returns: bool bear_gartley(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bearish gartley harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bull_gartley(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, cd_low_tol, cd_up_tol, ad_low_tol, ad_up_tol)   bullish gartley harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      cd_low_tol (float)      cd_up_tol (float)      ad_low_tol (float)      ad_up_tol (float)   Returns: bool bear_shark(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, xc_low_tol, xc_up_tol)   bearish shark harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      xc_low_tol (float)      xc_up_tol (float)   Returns: bool bull_shark(ab_low_tol, ab_up_tol, bc_low_tol, bc_up_tol, xc_low_tol, xc_up_tol)   bullish shark harmonic pattern condition   Parameters:      ab_low_tol (float)      ab_up_tol (float)      bc_low_tol (float)      bc_up_tol (float)      xc_low_tol (float)      xc_up_tol (float)   Returns: bool bear_three_drive(x1_low_tol, a1_low_tol, a1_up_tol, a2_low_tol, a2_up_tol, b2_low_tol, b2_up_tol, b3_low_tol, b3_upt_tol)   bearish three drive harmonic pattern condition   Parameters:      x1_low_tol (float)      a1_low_tol (float)      a1_up_tol (float)      a2_low_tol (float)      a2_up_tol (float)      b2_low_tol (float)      b2_up_tol (float)      b3_low_tol (float)      b3_upt_tol (float)   Returns: bool bull_three_drive(x1_low_tol, a1_low_tol, a1_up_tol, a2_low_tol, a2_up_tol, b2_low_tol, b2_up_tol, b3_low_tol, b3_upt_tol)   bullish three drive harmonic pattern condition   Parameters:      x1_low_tol (float)      a1_low_tol (float)      a1_up_tol (float)      a2_low_tol (float)      a2_up_tol (float)      b2_low_tol (float)      b2_up_tol (float)      b3_low_tol (float)      b3_upt_tol (float)   Returns: bool asc_broadening()   ascending broadening pattern condition   Returns: bool broadening()   broadening pattern condition   Returns: bool desc_broadening()   descending broadening pattern condition   Returns: bool double_bot(low_tol, up_tol)   double bottom pattern condition   Parameters:      low_tol (float)      up_tol (float)   Returns: bool double_top(low_tol, up_tol)   double top pattern condition   Parameters:      low_tol (float)      up_tol (float)   Returns: bool triple_bot(low_tol, up_tol)   triple bottom pattern condition   Parameters:      low_tol (float)      up_tol (float)   Returns: bool triple_top(low_tol, up_tol)   triple top pattern condition   Parameters:      low_tol (float)      up_tol (float)   Returns: bool bear_elliot()   bearish elliot wave pattern condition   Returns: bool bull_elliot()   bullish elliot wave pattern condition   Returns: bool bear_alt_flag(ab_ratio, bc_ratio)   bearish alternate flag pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)   Returns: bool bull_alt_flag(ab_ratio, bc_ratio)   bullish alternate flag pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)   Returns: bool bear_flag(ab_ratio, bc_ratio, be_ratio)   bearish flag pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)      be_ratio (float)   Returns: bool bull_flag(ab_ratio, bc_ratio, be_ratio)   bullish flag pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)      be_ratio (float)   Returns: bool bear_asc_head_shoulders()   bearish ascending head and shoulders pattern condition   Returns: bool bull_asc_head_shoulders()   bullish ascending head and shoulders pattern condition   Returns: bool bear_desc_head_shoulders()   bearish descending head and shoulders pattern condition   Returns: bool bull_desc_head_shoulders()   bullish descending head and shoulders pattern condition   Returns: bool bear_head_shoulders()   bearish head and shoulders pattern condition   Returns: bool bull_head_shoulders()   bullish head and shoulders pattern condition   Returns: bool bear_pennant(ab_ratio, bc_ratio)   bearish pennant pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)   Returns: bool bull_pennant(ab_ratio, bc_ratio)   bullish pennant pattern condition   Parameters:      ab_ratio (float)      bc_ratio (float)   Returns: bool asc_wedge()   ascending wedge pattern condition   Returns: bool desc_wedge()   descending wedge pattern condition   Returns: bool wedge()   wedge pattern condition   Returns: bool
Библиотека Pine Script®
от theEccentricTrader
5
Crab Harmonic Pattern [TradingFinder] Harmonic Chart patterns🔵 Introduction The Crab pattern is recognized as a reversal pattern in technical analysis, utilizing Fibonacci numbers and percentages for chart analysis. This pattern can predict suitable price reversal areas on charts using Fibonacci ratios. The structure of the Crab pattern can manifest in both bullish and bearish forms on the chart. By analyzing this structure, traders can identify points where the price direction changes, which are essential for making informed trading decisions. The pattern's structure is visually represented on charts as shown below. To gain a deeper understanding of the Crab pattern's functionality, it is beneficial to become familiar with its various harmonic forms. 🟣 Types of Crab Patterns The Crab pattern is categorized into two types based on its structure: bullish and bearish. The bullish Crab is denoted by the letter M, while the bearish Crab is indicated by the letter W in technical analysis. Typically, a bullish Crab pattern signals a potential price increase, whereas a bearish Crab pattern suggests a potential price decrease on the chart. The direction of price movement depends significantly on the price's position within the chart. By identifying whether the pattern is bullish or bearish, traders can determine the likely direction of the price reversal. Bullish Crab : Bearish Crab : 🔵 How to Use When trading using the Crab pattern, crucial parameters include the end time of the correction and the point at which the chart reaches its peak. Generally, the best time to buy is when the chart nears the end of its correction, and the best time to sell is when it approaches the peak price. As we discussed, the end of the price correction and the time to reach the peak are measured using Fibonacci ratios. By analyzing these levels, traders can estimate the end of the correction in the chart waves and select a buying position for their stock or asset upon reaching that ratio. 🟣 Bullish Crab Pattern In this pattern, the stock price is expected to rise at the pattern's completion, transitioning into an upward trend. The bullish Crab pattern usually begins with an upward trend, followed by a price correction, after which the stock resumes its upward movement. If a deeper correction occurs, the price will change direction at some point on the chart and rise again towards its target price. Price corrections play a critical role in this pattern, as it aims to identify entry and exit points using Fibonacci ratios, allowing traders to make purchases at the end of the corrections. When the price movement lines are connected on the chart, the bullish Crab pattern resembles the letter M. 🟣 Bearish Crab Pattern In this pattern, the stock price is expected to decline at the pattern's completion, leading to a strong downward trend. The bearish Crab pattern typically starts with a price correction in a downward trend and, after several fluctuations, reaches a peak where the direction changes downward, resulting in a significant price drop. This pattern uses Fibonacci ratios to identify points where the price movement is likely to change direction, enabling traders to exit their positions at the chart's peak. When the price movement lines are connected on the chart, the bearish Crab pattern resembles the letter W. 🔵 Setting 🟣 Logical Setting ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition. Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern. Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk. Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period. 🟣 Genaral Setting Show : Enter "On" to display the template and "Off" to not display the template. Color : Enter the desired color to draw the pattern in this parameter. LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness. LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries. 🟣 Alert Setting Alert : On / Off Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Индикатор Pine Script®
от TFlab
2