Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
Фундаментальный анализ
Math Art with Fibonacci, Trigonometry, and Constants-AYNETScientific Explanation of the Code
This Pine Script code is a dynamic visual representation that combines mathematical constants, trigonometric functions, and Fibonacci sequences to generate geometrical patterns on a TradingView chart. The code leverages Pine Script’s drawing functions (line.new) and real-time bar data to create evolving shapes. Below is a detailed scientific explanation of its components:
1. Inputs and User-Defined Parameters
num_points: Specifies the number of points used to generate the geometrical pattern. Higher values result in more complex and smoother shapes.
scale: A scaling factor to adjust the size of the shape.
rotation: A dynamic rotation factor that evolves the shape over time based on the bar index (bar_index).
shape_color: Defines the color of the drawn shapes.
2. Mathematical Constants
The script employs essential mathematical constants:
Phi (ϕ): Known as the golden ratio
(
1
+
5
)
/
2
(1+
5
)/2, which governs proportions in Fibonacci spirals and natural growth patterns.
Pi (π): Represents the ratio of a circle's circumference to its diameter, crucial for trigonometric calculations.
Euler’s Number (e): The base of natural logarithms, incorporated in exponential growth modeling.
3. Geometric and Trigonometric Calculations
Fibonacci-Based Radius: The radius for each point is determined using a Fibonacci-inspired formula:
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=
scale
×
𝜙
⋅
𝑖
num_points
r=scale×
num_points
ϕ⋅i
Here,
𝑖
i is the point index. This ensures the shape grows proportionally based on the golden ratio.
Angle Calculation: The angular position of each point is calculated as:
𝜃
=
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Δ
𝜃
+
rotation
⋅
bar_index
100
θ=i⋅Δθ+rotation⋅
100
bar_index
where
Δ
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=
2
𝜋
num_points
Δθ=
num_points
2π
. This generates evenly spaced points along a circle, with dynamic rotation.
Coordinates: Cartesian coordinates
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(x,y) for each point are derived using:
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,
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x=r⋅cos(θ),y=r⋅sin(θ)
These coordinates describe a polar-to-Cartesian transformation.
4. Dynamic Line Drawing
Connecting Points: For each pair of consecutive points, a line is drawn using:
line.new
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line.new(x
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The coordinates are adjusted by:
bar_index: Aligns the x-axis to the chart’s time-based bar index.
int() Conversion: Ensures x-coordinates are integers, as required by line.new.
Line Properties:
Color: Set by the user.
Width: Fixed at 1 for simplicity.
5. Real-Time Adaptation
The shapes evolve dynamically as new bars form:
Rotation Over Time: The rotation parameter modifies angles proportionally to bar_index, creating a rotating effect.
Bar Index Alignment: Shapes are positioned relative to the current bar on the chart, ensuring synchronization with market data.
6. Visualization and Applications
This script generates evolving geometrical shapes, which have both aesthetic and educational value. Potential applications include:
Mathematical Visualization: Demonstrating the interplay of Fibonacci sequences, trigonometry, and geometry.
Technical Analysis: Serving as a visual overlay for price movement patterns, highlighting cyclical or wave-like behavior.
Dynamic Art: Creating visually appealing and evolving patterns on financial charts.
Scientific Relevance
This code synthesizes principles from:
Mathematical Analysis: Incorporates constants and formulas central to calculus, trigonometry, and algebra.
Geometry: Visualizes patterns derived from polar coordinates and Fibonacci scaling.
Real-Time Systems: Adapts dynamically to market data, showcasing practical applications of mathematics in financial visualization.
If further optimization or additional functionality is required, let me know! 😊
Universal Valuation System Overview 🔍
The Universal Valuation System (UVS) is an advanced valuation-focused indicator that provides insights into whether an asset is statistically overvalued or undervalued, helping traders understand where an asset sits within its historical value range. Unlike trend indicators, UVS emphasizes value analysis through a unique combination of performance ratios and statistical metrics, synthesizing this data into an overall Z-score. This score reflects the asset’s position within a typical normal distribution curve, allowing traders to make data-driven decisions based on historical valuation patterns.
Normal Distribution: A Statistical Foundation for Valuation 📊
The UVS leverages the normal distribution model as its core statistical framework. In a normal distribution, values tend to cluster around a central mean, with predictable probabilities for deviation. In financial markets, this means that most price or valuation levels hover around an average range, while extreme highs or lows are less frequent.
Under normal distribution:
68% of values lie within one standard deviation of the mean.
95% of values lie within two standard deviations.
99.7% of values lie within three standard deviations.
Using Z-scores, UVS calculates where current valuation metrics fall relative to this distribution, identifying overvalued (above-average) or undervalued (below-average) zones. This helps traders interpret an asset’s relative value, showing whether it is more likely to revert toward its mean or is experiencing an exceptional deviation.
Key Components and Ratios in UVS 🔀
UVS includes a range of valuation metrics that work together to determine the Z-score:
Sharpe Ratio: Measures return relative to risk, offering insight into the quality of returns.
Sortino Ratio: Focuses on downside deviation, helping gauge negative returns’ impact.
Omega Ratio: Assesses the likelihood of gains versus losses, providing a risk-adjusted performance measure.
Crosby Ratio: Examines volatility patterns, adding dimension to the valuation signal.
VWAP (Volume-Weighted Average Price) Z-Score: Assesses price relative to volume, highlighting valuation when volume supports price movements.
Price ROC Z-Score: Uses the rate of price change to give a volatility-adjusted price movement signal.
By averaging these ratios, UVS forms a composite Z-score representing an overall valuation signal. This Z-score directly reflects the asset’s position within its historical distribution, indicating whether it’s in a typical, overbought, or oversold range.
DCA (Dollar-Cost Averaging) Application with UVS 💵
The UVS provides powerful insights for those using Dollar-Cost Averaging (DCA) by signaling periods when an asset may be overvalued or undervalued relative to its historical distribution. This model-based approach helps traders strategically adjust their DCA timing:
Overvalued (Overbought) Zones:
When the Z-score indicates that an asset is in an overbought zone (typically above +2 standard deviations), DCA buyers may choose to reduce purchases or pause, as this zone suggests the asset is currently at a premium relative to its historical norms.
Undervalued (Oversold) Zones:
In undervalued regions (typically below -2 standard deviations), the UVS suggests a favorable accumulation point for DCA. These periods allow traders to buy at below-average valuations, optimizing their cost basis over time.
Valuation Zone Display and Accessibility 🌈
UVS includes several user-friendly display options, helping traders interpret its signals easily:
Composite Zone Highlighting: Displays overbought and oversold zones with color gradients, clearly visualizing statistical extremes.
Ratio Breakdown: Allows users to view individual Z-scores for each component, understanding the specific contributions to the overall valuation signal.
Color Blindness Mode: Offers multiple color settings to ensure clear interpretation across different visual needs.
Summary: Structured Value Analysis for Informed DCA Decisions
UVS is designed to be a reliable tool for traders looking to anchor their DCA and valuation-based strategies in statistical reality. By identifying valuation zones within a normal distribution framework, UVS enables a disciplined approach to asset accumulation based on relative value rather than price trends.
Important Note: UVS does not predict future performance. It provides a statistical view of historical valuation, which should be supplemented with additional analysis and risk management practices. Past patterns do not guarantee future results.
Weekly COTAdjusted COT Index
Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures
How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book.
Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data.
This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories.
The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context.
COT Categories
-------------------
- Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset.
- Large Speculators (Non-commercials): Professional traders and funds speculating on price movements.
- Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed.
Features
----------
- Open Interest Adjustment
- The net positions for each category are normalized by Open Interest to account
for varying contract sizes.
- Customisable Look-back Period
- You can adjust the number of weeks for the index calculation to control the
historical range used for comparison.
- Thresholds for Extremes
- Upper and lower thresholds (configurable) are provided to mark overbought and
oversold conditions.
- Defaults
- Overbought: <=20
- Oversold: >= 80
- Hide Current Week Option
- Optionally hide the current week's data until market close for more accurate comparison.
- Visual Aids
- Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning.
Inputs
--------
- weeks
- Number of weeks for historical range comparison.
- upperExtreme and lowerExtreme
- Thresholds to identify overbought/oversold conditions (default 80/20).
- hideCurrentWeek
- Option to hide current week's data until market close.
- markExtremes
- Highlight extremes where any index crosses the upper or lower thresholds.
- Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators.
Outputs
----------
- The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds.
Usage
-------
- This tool is useful for traders who want to track the positioning of different market participants over time.
- By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals.
- Reversals of trend can be confirmed with RSI Divergence (daily), for example
- Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
Fed Fund Futures Custom AverageThis indicator helps traders track the expected average interest rate for the upcoming 12 months based on Fed Fund Futures. It calculates the average price of the next 12 monthly futures contracts and also shows the spread against the 1-Year US Treasury yield (US01Y). This can be useful for understanding market expectations regarding interest rate changes and identifying trading opportunities related to interest rate movements.
DOGE MVRV Z-ScoreThe MVRV-Z score is a relative indicator, which is the "circulating market value" of Dogecoin minus the "realized market value", and then standardized by the standard of the circulating market value. The formula is:
MVRV-Z Score = (circulation market capitalization - realized market capitalization) / Standard Deviation (circulation market capitalization)
The "realized market value" is based on the value of transactions on-chain, calculating the sum of the "last movement value" of all Dogecoins on the chain. Therefore, when this indicator is too high, it means that the market value of Dogecoin is overvalued relative to its actual value, which is detrimental to the price of Dogecoin; otherwise, it means that the market value of Dogecoin is undervalued. According to past historical experience, when this indicator is at a historical high, the probability of a downward trend in Dogecoin prices increases, and attention should be paid to the risks of chasing higher prices.
Sharpe Ratio Z-ScoreThis indicator calculates the Sharpe Ratio and its Z-Score , which are used to evaluate the risk-adjusted return of an asset over a given period. The Sharpe Ratio is computed using the average return and the standard deviation of returns, while the Z-Score standardizes this ratio to assess how far the current Sharpe Ratio deviates from its historical average.
The Sharpe Ratio is a measure of how much return an investment has generated relative to the risk it has taken. In the context of this script, the risk-free rate is assumed to be 0, but in real applications, it would typically be the return on a safe investment, like a Treasury bond. A higher Sharpe Ratio indicates that the investment's returns are higher compared to its risk, making it a more favorable investment. Conversely, a lower Sharpe Ratio suggests that the investment may not be worth the risk.
Calculation:
Daily Returns Calculation: The script calculates the daily return of the asset. This measures the percentage change in the asset’s closing price from one period to the next.
Sharpe Ratio Calculation: The Sharpe Ratio is calculated by taking the average daily return and dividing it by the standard deviation of the returns, then multiplying by the square root of the period length.
Usage:
Traders and Investors can use the Sharpe Ratio to evaluate how well the asset is compensating for risk. A high Sharpe Ratio indicates a high return per unit of risk, whereas a low or negative Sharpe Ratio suggests poor risk-adjusted returns. In overbought times, an asset would have high/positive returns per unit of risk. In oversold times, an asset would have low/negative returns per unit of risk.
The Z-Score provides a way to compare the current Sharpe Ratio to its historical distribution, offering a more standardized view of how extreme or typical the current ratio is.
Positive Z-score: Indicates that the asset's return is significantly lower than its risk, suggesting potential oversold conditions.
Negative Z-score: Indicates that the asset's return is significantly higher than its risk, suggesting potential overbought conditions.
Red Zone (-3 to -2): Strong overbought conditions.
Green Zone (2 to 3): Strong oversold conditions.
Sharpe Ratio Limitations:
While the Sharpe Ratio is widely used to evaluate risk-adjusted returns, it has its limitations.
Fat Tails: It assumes that returns are normally distributed and does not account for extreme events or "fat tails" in the return distribution. This can be problematic for assets like cryptocurrencies, which may experience large, sudden price swings that skew the return distribution.
Single Risk Factor: The Sharpe Ratio only considers standard deviation (total volatility) as a measure of risk, ignoring other types of risks like skewness or kurtosis, which may also impact an asset’s performance.
Time Frame Sensitivity: The accuracy of the Sharpe Ratio and its Z-Score is heavily influenced by the time frame chosen for the calculation. A longer period may smooth out short-term fluctuations, while a shorter period might be more sensitive to recent volatility.
Overbought and Oversold Zones: The script marks overbought and oversold conditions based on the Z-Score, but this is not a guarantee of market reversal. It’s important to combine this tool with other technical indicators and fundamental analysis for a more comprehensive market evaluation.
Volatility: The Sharpe Ratio and Z-Score depend on the volatility (standard deviation) of the asset’s returns. For highly volatile assets, such as cryptocurrencies, the Sharpe Ratio may not fully capture the true risk or may be misleading if the volatility is transient.
Doesn't Account for Downside Risk: The Sharpe Ratio treats upside and downside volatility equally, which may not reflect how investors perceive risk. Some investors may be more concerned with downside risk, which the Sharpe Ratio does not distinguish from upside fluctuations.
Important Considerations:
The Sharpe Ratio should not be used in isolation. While it provides valuable insights into risk-adjusted returns, it is important to combine it with other performance and risk indicators to form a more comprehensive market evaluation. Relying solely on the Sharpe Ratio may lead to misleading conclusions, particularly in volatile or non-normally distributed markets.
When integrated into a broader investment strategy, the Sharpe Ratio can help traders and investors better assess the risk-return profile of an asset, identifying periods of potential overperformance or underperformance. However, it should be used alongside other tools to ensure more informed decision-making, especially in highly fluctuating markets.
COIN/ETH RatioThis TradingView indicator calculates and visualizes the ratio between Coinbase's stock price (COIN) and Ethereum's price (ETH) to help traders compare Coinbase's performance relative to Ethereum over time. This can be useful for those interested in understanding correlations or relative strength between a traditional crypto exchange stock and a major cryptocurrency.
Globex time (New York Time)This indicator is designed to highlight and analyze price movements within the Globex session. Primarily geared toward the Globex Trap trading strategy, this tool visually identifies the session's high and low prices, allowing traders to better assess price action during extended hours. Here’s a comprehensive breakdown of its features and functionality:
Purpose
The "Globex Time (New York Time)" indicator tracks price levels during the Globex trading session, providing a clear view of overnight market activity. This session, typically running from 6 p.m. ET (18:00) until the following morning at 8:30 a.m. ET, is a critical period where significant market positioning can occur before the regular session opens. In the Globex Trap strategy, the session high and low are essential levels, as price movements around these areas often indicate potential support, resistance, or reversal zones, which traders use to set up entries or exits when the regular trading session begins.
Key Features
Customizable Session Start and End Times
The indicator allows users to specify the exact start and end times of the Globex session in New York time. The default settings are:
Start: 6 p.m. ET (18:00)
End: 8:30 a.m. ET
These settings can be adjusted to align with specific market hours or personal preferences.
Session High and Low Identification
Throughout the defined session, the indicator dynamically calculates and tracks:
Session High: The highest price reached within the session.
Session Low: The lowest price reached within the session.
These levels are essential for the Globex Trap strategy, as price action around them can indicate likely breakout or reversal points when regular trading resumes.
Vertical Lines for Session Start and End
The indicator draws vertical lines at both the session start and end times:
Session Start Line: A solid line marking the exact beginning of the Globex session.
Session End Line: A similar vertical line marking the session’s conclusion.
Both lines are customizable in terms of color and thickness, making it easy to distinguish the session boundaries visually on the chart.
Horizontal Lines for Session High and Low
At the end of the session, the indicator plots horizontal lines representing the Globex session's high and low levels. Users can customize these lines:
Color: Define specific colors for the session high (default: red) and session low (default: green) to easily differentiate them.
Line Style: Options to set the line style (solid, dashed, or dotted) provide flexibility for visual preferences and chart organization.
Automatic Reset for Daily Tracking
To adapt to the next trading day, the indicator resets the session high and low data once the current session ends. This reset prepares it to start tracking new levels at the beginning of the next session without manual intervention.
Practical Application in the Globex Trap Strategy
In the Globex Trap strategy, traders are primarily interested in price behavior around the high and low levels established during the overnight session. Common applications of this indicator for this strategy include:
Breakout Trades: Watching for price to break above the Globex high or below the Globex low, indicating potential momentum in the breakout direction.
Reversal Trades: Monitoring for failed breakouts or traps where price tests and rejects the Globex high or low, suggesting a reversal as liquidity is trapped in these zones.
Support and Resistance Zones: Using the session high and low as key support and resistance levels during the regular trading session, with potential entry or exit points when price approaches these areas.
Additional Configuration Options
Vertical Line Color and Width: Define the color and thickness of the vertical session start and end lines to match your chart’s theme.
Upper and Lower Line Colors and Styles: Customize the appearance of the session high and low horizontal lines by setting color and line style (solid, dashed, or dotted), making it easy to distinguish these critical levels from other chart markings.
Summary
This indicator is a valuable tool for traders implementing the Globex Trap strategy. It visually segments the Globex session and marks essential price levels, helping traders analyze market behavior overnight. Through its customizable options and clear visual representation, it simplifies tracking overnight price activity and identifying strategic levels for potential trade setups during the regular session.
X-Force Selector中文說明
X-Force 篩選者 是基於 Mark Minervini 概念設計的強勢標的篩選指標，旨在幫助交易者捕捉市場中的極端強勢標的。此指標運用多重篩選條件，使交易者能在價格達到特定關鍵位置時精準進場，專注於上漲動能強勁、突破阻力較小的標的。
指標篩選條件
100% 關鍵價位：當價格位於365根K棒的最低點的100%之上時，顯示該標的處於強勢區域，具備顯著的上漲動能。
25% 高點價位：同時，當價格位於365根K棒的高點以下25%之上時，代表該標的上方阻力較小，是一個潛在的突破信號。
滿足以上兩個條件的標的才會被視為進場機會，這符合 Minervini 所強調的「專注於強勢標的」的策略。Minervini 的概念強調當標的價格突破關鍵價位時，可能帶來更高的回報潛力，且風險相對較小。
加密貨幣與時間周期的應用
在加密貨幣交易中，1小時到4小時的小時間框架適合使用100%、66%、33%這些百分比範圍參數，以反映市場的高波動特性。對於更短周期，建議進一步縮小百分比，以提高指標對短期波動的敏感度，並增強篩選結果的準確性。
靈活的篩選與戰警風格
此指標的設計結合了 Minervini 的概念和戰警風格，旨在精準鎖定極具潛力的突破標的。X-Force 篩選者適合追隨趨勢的交易者，尤其是熱衷於 Mark Minervini 策略的投資者，使交易者能夠專注於市場中最具上漲動能的標的，實現更精確的進場決策。
English Description
X-Force Selector is a powerful trend-filtering indicator inspired by Mark Minervini’s trading concepts, designed to help traders capture assets with extreme strength in the market. By applying multiple filtering criteria, this indicator enables precise entry decisions when price reaches specific key levels, focusing on assets with strong upward momentum and minimal resistance.
Indicator Selection Criteria
100% Key Price Level: When the price is above 100% of the lowest low over the past 365 bars, it indicates the asset is in a strong zone with substantial upward momentum.
25% High Price Level: Additionally, when the price is within 25% below the 365-bar high, it signals reduced resistance above, indicating potential for a breakout.
Assets meeting both criteria are considered potential entry opportunities, aligning with Minervini's strategy of “focusing on strong assets.” Minervini’s concept emphasizes capturing high-potential assets as they break through critical levels, aiming for higher returns with relatively low risk.
Application to Cryptocurrency and Timeframes
In cryptocurrency trading, shorter timeframes such as 1H to 4H are well-suited for the 100%, 66%, and 33% thresholds, reflecting the high volatility of crypto markets. For even smaller timeframes, it is recommended to reduce these percentages to enhance the indicator’s sensitivity to short-term fluctuations, improving the accuracy of filtered results.
Flexible Filtering with a Battle-Ready Style
With a design inspired by Minervini's concepts and a battle-ready scanning approach, the X-Force Selector precisely locks onto high-potential breakout candidates. This indicator is ideal for trend-following traders, especially those applying Mark Minervini’s strategies, enabling them to concentrate on assets with the strongest upward momentum for precise entry decisions.
RSI Swing Indicator with 200 EMAThis indicator combines a custom RSI-based swing indicator with a 200-period Exponential Moving Average (EMA) to help identify potential reversal points and confirm trend direction.
RSI Swing Indicator: It uses RSI to detect overbought and oversold conditions. When RSI reaches these extreme levels, the indicator marks "swing points" on the chart, with labels showing "HH" (Higher High) or "LH" (Lower High) for overbought and "LL" (Lower Low) or "HL" (Higher Low) for oversold, based on recent price action.
200 EMA: The 200 EMA provides a long-term trend filter. Generally, prices above the 200 EMA suggest an uptrend, while prices below indicate a downtrend. This helps traders decide whether to take trades in the direction of the larger trend.
Adaptive Support & Resistance Zones Description:
The Enhanced Support and Resistance Zones indicator identifies and visualizes significant support and resistance areas on the chart, helping traders spot potential reversal or breakout points. This tool offers advanced customization options for zone thickness, lookback period, validation criteria, and zone expiration, making it adaptable for various trading styles and market conditions.
Key Features:
1. Zone Thickness Multiplier: The Zone Thickness Multiplier controls the visual “thickness” of each support and resistance zone, allowing traders to adjust the width based on volatility or personal preference. A higher multiplier increases the zone’s range, capturing a wider area around the support or resistance level.
2. Lookback Periods for Support and Resistance: The Lookback for Resistance and Lookback for Support inputs define the number of bars analyzed to identify swing highs and lows, respectively. This allows traders to adjust how far back the script should search for key levels, which can be useful when adjusting for different timeframes or varying levels of historical significance in zones.
3. Minimum Touch Count: To filter out weak zones, the Minimum Touch Count setting establishes the required number of price “touches” (or tests) within a zone before it’s considered valid. By increasing this value, traders can focus only on zones that the price has interacted with frequently, indicating stronger potential support or resistance.
4. Zone Expiration Bars: The Zone Expiration Bars setting enables automatic expiration of older zones, reducing chart clutter from outdated levels. This parameter specifies the maximum number of bars a zone will remain active after its creation. When the set limit is reached, the zone is cleared, allowing the indicator to stay responsive to more recent price action.
5. Dynamic Visualization by Touch Count: Zones with more touches are displayed with a thicker line, visually emphasizing the strength of these areas. Zones with fewer touches are shown with a thinner line, helping traders easily distinguish between stronger and weaker support and resistance levels.
6. Alerts for Zone Touches: Alerts can be configured to notify traders when the price touches the support or resistance zones, offering real-time notifications for potential trading opportunities.
How to Use:
1. Adjusting Zone Thickness: Use the Zone Thickness Multiplier to expand or contract the width of each zone. A higher multiplier may be beneficial in volatile markets, where price tends to fluctuate around levels rather than touching them precisely. Lower values can provide a more precise zone in less volatile environments.
2. Setting Lookback Periods for Zone Identification: The Lookback for Resistance and Lookback for Support inputs allow traders to define how many historical bars to analyze for determining key levels. Longer lookbacks may be useful on higher timeframes to capture more significant support or resistance, while shorter lookbacks can be suitable for lower timeframes or more recent levels.
3. Filtering with Minimum Touch Count: Increase the Minimum Touch Count to filter for stronger zones. For example, setting a minimum touch count of 3 will display only zones that have been tested by the price at least three times, indicating potentially stronger support or resistance.
4. Configuring Zone Expiration: Use Zone Expiration Bars to limit how long each zone remains on the chart, helping to keep the focus on more recent levels. Expiring zones after a set number of bars can be especially useful on lower timeframes, where older levels may no longer be relevant.
5. Using Alerts for Real-Time Notifications: Set up alerts to receive notifications when price enters the support or resistance zones, allowing you to monitor potential trade setups without needing to watch the chart continuously.
This indicator is well-suited for traders aiming to identify high-quality support and resistance areas while managing chart clarity. With these customizable options, traders can adapt the indicator to match their unique trading style and market focus. For best results, test these settings on your preferred timeframe and adjust parameters to fit specific trading goals and market conditions.
XRP Comparative RSI Indicator - Final VersionXRP Comparative RSI Indicator - Final Version
The XRP Comparative RSI Indicator offers a dynamic analysis of XRP’s market positioning through relative strength index (RSI) comparisons across various cryptocurrencies and major market indicators. This indicator allows traders and analysts to gauge XRP’s momentum and potential turning points within different market conditions.
Key Features:
• Normalized RSIs: Each RSI value is normalized between 0.00 and 1.00, allowing seamless comparison across multiple assets.
• Grouped Analysis: Three RSI groups provide specific insights:
• Group 1 (XRP-Specific): Measures XRPUSD, XRP Dominance (XRP.D), and XRP/BTC, focusing on XRP’s performance across different trading pairs.
• Group 2 (Market Influence - Bitcoin): Measures BTCUSD, BTC Dominance (BTC.D), and XRP/BTC, capturing the influence of Bitcoin on XRP.
• Group 3 (Liquidity Impact): Measures USDT Dominance (USDT.D), BTCUSD, and ETHUSD, evaluating the liquidity impact from key assets and stablecoins.
• Individual Asset RSIs: Track the normalized RSI for each specific pair or asset, including XRPUSD, BTCUSD, ETHUSD, XRP/BTC, BTC Dominance, ETH Dominance, and the S&P 500.
• Clear Color Coding: Each asset’s RSI is plotted with a unique color scheme, consistent with the first indicator, for easy recognition.
This indicator is ideal for identifying relative strengths, potential entry and exit signals, and understanding how XRP’s momentum aligns or diverges from broader market trends.
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds.
⭕️ Key Features
Range Detection — identifies price ranges where consolidation is occurring.
Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure.
Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red.
Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges.
Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart.
Alerts — system will notify you when a range has been created and also when the price leaves the range.
⭕️ How it works
Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed.
Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes.
⭕️ Settings
Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point.
Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both.
Use Wick — Option to consider the wick of the candles when identifying Range.
Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close.
Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid.
Row Size — Number of levels to calculate POC. *Larger values increase the script load.
% Range Filter — Dont Show Range is than more N% of Average Range.
Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility.
Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points.
Range Start — Show points where Range was created.
Ultimate Multi Indicator - by SachaThe Ultimate Multi Indicator: The Ultimate Guide To Profit
This custom indicator, the Ultimate Multi Indicator , integrates multiple trading indicators to have powerful buy and sell signals. I combined MACD, EMA, RSI, Bollinger Bands, Volume Profile, and Ichimoku Cloud indicators to help traders analyze both short-term and long-term price movements.
Key Components and How to Use Them
- MACD (Moving Average Convergence Divergence):
- Use for trend direction and potentiality of reversals.
- The blue line (MACD Line) crossing above the orange line (Signal Line) indicates a bullish reversal; the opposite signals a bearish reversal.
- Watch for crossovers to confirm the direction of smaller price movements.
- 200 EMA (Long) (Exponential Moving Average):
- Use to indicate a long-term trend direction.
- If the price is above the 200 EMA, the market is in an uptrend; below it suggests a downtrend.
- The chart’s background color shifts subtly green (uptrend) or red (downtrend) depending on the EMA's relative position.
- RSI (Relative Strength Index):
- Tracks momentum and overbought/oversold levels.
- RSI over 70 signifies overbought conditions; under 30 indicates oversold.
- Look for RSI turning points around these levels to identify potential reversals.
- Bollinger Bands :
- The price touching or crossing the upper Bollinger Band may mean overbought conditions are filled, while a touch at the lower band indicates oversold.
- Bollinger Band interactions often align with key reversal points, especially when combined with other signals.
- Volume Profile :
- A yellow VP line on the chart represents significant trading volume occurred.
- This line can be used as both a support and resistance level, and especially during consolidations or trend changes.
- Ichimoku Cloud :
- Identifies support/resistance levels and trend direction.
- Green and red cloud regions visually show if the price is above (bullish) or below (bearish) key levels.
- Price above the cloud (green) confirms a bullish market, while below (red) signals bearish.
Signal Conditions and Visualization
- Buy Signals :
- This is triggered right away when MACD crosses up, RSI is oversold, or price touches the lower Bollinger Band, provided price is above both the Ichimoku Cloud and the 200 EMA.
- A green “BUY” label appears below the bar, suggesting a potential entry.
- Sell Signals :
- This signal is generated when MACD crosses down, RSI is overbought, or price touches the upper Bollinger Band, and price is below the Ichimoku Cloud and the 200 EMA.
- A red “SELL” label is shown above the bar, indicating a potential exit.
Tips & Tricks
- Confirm Signals : Use multiple signals to confirm entries and exits. For example, if both the MACD and RSI align with the Ichimoku Cloud direction, the trade setup is stronger.
- Trend Directions : Only take buy signals if the price is above the 200 EMA, and sell signals if it is below, aligning trades with the overall trend.
- Adjust for Volatility : In high-volatility markets, especially in the crypto markets, pay close attention to the Bollinger Bands for breakout potential.
- Ichimoku as a Trend Guide : Use the Ichimoku Cloud as a guide for long-term support and resistance levels, especially for swing trades.
This multi-layered indicator gives a balanced blend of short-term signals and long-term trend insights, making it a versatile tool for day trading, swing trading, or even longer-term analysis.
Remember that indicators that will make you rich instantly don't exist. To expect minimum profit from them, you shouldn't trade all you have at the same time but only trade with the money you can afford to lose.
After that being said, I wish you traders luck with the Ultimate Multi Indicator!
Vertical Line on Custom DateThis Pine Script code creates a custom indicator for TradingView that draws a vertical line on the chart at a specific date and time defined by the user.
User Input: Allows the user to specify the day, hour, and minute when the vertical line should appear.
Vertical Line Drawing: When the current date and time match the user’s inputs, a vertical line is drawn on the chart at the corresponding bar, offset by one bar to align properly.
Customizable Color and Width: The vertical line is displayed in purple with a customizable width.
Overall, this indicator helps traders visually mark important dates and times on their price charts.
Earning, Sales, and PriceThis Pine Script indicator is designed to visualize and analyze the growth of Earnings Per Share (EPS) and Sales for a given stock over specified time periods. With a user-friendly interface, it allows traders and investors to monitor key financial metrics, helping them make informed decisions based on company performance.
The script presents earnings, sales, and price growth in a clear tabular format directly on the price chart. It features two distinct tables: one for annual data and another for quarterly metrics. For each financial metric, the script calculates and displays growth figures by comparing the current results with either the previous quarter's numbers or the previous year's figures. Additionally, it showcases the stock price along with the corresponding growth between these two data points, providing a comprehensive view of the stock's performance over time.
How to Use:
Typically, growth stocks will rally for a few quarters. However, after significant rallies, the stock needs rest. During this period, the stock will either consolidate or slide down slowly to take support at the key moving average. Importantly, during this time, sales and earnings may continue to grow while the stock is still consolidating.
Typically, after the stock consolidates significantly—even when sales and earnings numbers are increasing—the stock will finally start the next leg of the rally just before the next earnings date or immediately after the earnings report.
For this purpose, the script shows the EPS and sales growth. Additionally, the script displays the price when the previous earnings were declared along with the price growth. This data can be used to find patterns in the stock's behavior. Utilize this indicator to analyze growth patterns and make informed trading decisions based on historical performance and upcoming earnings expectations.
Key Metrics Analyzed:
Earnings Per Share (EPS): Monitors the diluted earnings per share to evaluate company profitability.
Total Revenue: Analyzes sales performance, providing insights into overall revenue generation.
Price Growth: Tracks changes in stock price alongside EPS and sales for comprehensive performance assessment.
Usage:
Ideal for investors and traders looking to evaluate company growth potential and make data-driven decisions.
Use in conjunction with other technical analysis tools for a holistic approach to stock analysis.
Gap Finder with Box FillSetup and Inputs
The indicator checks the current and previous candles to find gaps, using a color input for filling the gap area on the chart.
Gap Detection:
If the current candle opens higher than the previous close and doesn’t overlap with the previous candle’s range, it marks this as a gap-up.
If the current candle opens lower than the previous close without overlap, it’s marked as a gap-down.
Drawing the Gap:
When a gap-up or gap-down is found, the script draws a box from the previous close to the current candle’s low or high, filling it with the chosen color.
Benefits
Visual Aid: The filled box highlights gaps, making them easy to spot on the chart.
Trade Signals: Gaps can show strong market moves, helping traders spot potential entries or watch for reversals.
Customizable: You can adjust the color to fit your chart style, making the gaps stand out clearly.
This simple tool gives traders a quick view of gaps, which are often key points of interest in technical analysis.
Asian Session ShadingDescription
The "Asian Session Shading" indicator is designed to highlight the trading hours of the Asian market session on TradingView charts. This script shades the background of the chart in a pale blue color to visually distinguish the time period of the Asian trading session. By using this indicator, traders can easily identify when the Asian session is active, helping them to analyze and make informed trading decisions based on time-specific market behavior.
Features
Customizable Timing: The session start and end times can be adjusted to fit different Asian market hours.
Visual Clarity: The pale blue shading helps to visually separate the Asian session from other trading sessions.
Easy to Use: Simple implementation with clear visual cues on the chart.
Best Use Cases
Market Analysis: Traders can use this indicator to analyze market movements and trends specific to the Asian trading session.
Trading Strategies: This tool can assist in developing and implementing trading strategies that take into account the unique characteristics of the Asian market.
Time Management: Helps traders to manage their trading schedule by clearly marking the start and end of the Asian session.
How to Use
Apply to Chart: Save and apply the indicator to your chart to see the shaded Asian session.
This indicator is particularly useful for forex traders, stock traders, and anyone looking to incorporate the Asian market's influence into their trading strategy.
Economic Profit (YavuzAkbay)The Economic Profit Indicator is a Pine Script™ tool for assessing a company’s economic profit based on key financial metrics like Return on Invested Capital (ROIC) and Weighted Average Cost of Capital (WACC). This indicator is designed to give traders a more accurate understanding of risk-adjusted returns.
Features
Customizable inputs for Risk-Free Rate and Corporate Tax Rate assets for people who are trading in other countries.
Calculates Economic Profit based on ROIC and WACC, with values shown as both plots and in an on-screen table.
Provides detailed breakdowns of all key calculations, enabling deeper insights into financial performance.
How to Use
Open the stock to be analyzed. In the settings, enter the risk-free asset (usually a 10-year bond) of the country where the company to be analyzed is located. Then enter the corporate tax of the country (USCTR for the USA, DECTR for Germany). Then enter the average return of the index the stock is in. I prefer 10% (0.10) for the SP500, different rates can be entered for different indices. Finally, the beta of the stock is entered. In future versions I will automatically pull beta and index returns, but in order to publish the indicator a bit earlier, I have left it entirely up to the investor.
How to Interpret
We see 3 pieces of data on the indicator. The dark blue one is ROIC, the dark orange one is WACC and the light blue line represents the difference between WACC and ROIC.
In a scenario where both ROIC and WACC are negative, if ROIC is lower than WACC, the share is at a complete economic loss.
In a scenario where both ROIC and WACC are negative, if ROIC has started to rise above WACC and is moving towards positive, the share is still in an economic loss but tending towards profit.
A scenario where ROIC is positive and WACC is negative is the most natural scenario for a company. In this scenario, we know that the company is doing well by a gradually increasing ROIC and a stable WACC.
In addition, if the ROIC and WACC difference line goes above 0, the company is now economically in net profit. This is the best scenario for a company.
My own investment strategy as a developer of the code is to look for the moment when ROIC is greater than WACC when ROIC and WACC are negative. At that point the stock is the best time to invest.
Trading is risky, and most traders lose money. The indicators Yavuz Akbay offers are for informational and educational purposes only. All content should be considered hypothetical, selected after the facts to demonstrate my product, and not constructed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
This indicator is experimental and will always remain experimental. The indicator will be updated by Yavuz Akbay according to market conditions.
MCD - Meme Coin Dominance [Da_Prof]I took the meme coins in the top 100 according to CoinMarketCap and added their market caps together and divided by TOTAL. Ultimately, I see Tradingview doing a much better job once they create a dedicated symbol for this, but in the interim, I thought this might help all you degens.
Enjoy.
Da_Prof
Multi-Currency Economic IndicatorCreating a Multi-Currency Economic Indicator that incorporates data for USD, JPY, AUD, GBP, CHF, NZD, and CAD will provide valuable insights into the economic health of these currencies. By plotting key economic indicators such as interest rates and allowing for customization, users can effectively analyze and make informed decisions.
If you have any further modifications or specific features you would like to add, feel free to let me know!
India market cap and smart dataThis indicator displays important financial and technical data, such as Market Cap, P/E Ratio, ADR %, etc.
It is specially designed for swing traders.
Key Features and Highlights
- Market Cap Alert: If the Market Cap of a stock is below 1000 crore , it is displayed in red to indicate a potential liquidity issue.
- P/E Ratio for Loss-Making Companies : For companies with net losses, the P/E ratio is shown as 0 and displayed in red , alerting you to the unprofitable status of the company.
- ADR Alert: When the ADR is below 4% , it is highlighted in red . Swing traders typically look for stocks with high ADR.
- 52-Week High Proximity: If a stock is more than 20% below its 52-week high , this data is shown in red .
- 52-Week Low Performance: If a stock is up by more than 70% from its 52-week low , the data is displayed in green , indicating strong performance.
Additional Features
- Toggle data points on or off as desired.
- Supports both dark and light modes.
- Position the table wherever preferred on the chart.
- Customize the ADR % calculation based on the desired number of days (default is 20 days).
Note: The calculation for the percentage away from the 52-week high is based on the closing price of the 52-week high candle, not the high price.
