CZ Parabolic SAR + MAThe "CZ Parabolic SAR + MA" indicator combines a Parabolic SAR (PSAR) and a Moving Average (MA) to generate buy and sell signals, with an optional noise filter based on the MA. Here's a breakdown of how to use the indicator and its key parameters:
Key Features:
Parabolic SAR helps identify potential reversals by plotting dots above or below the price.
Moving Average smooths out price action and can be shifted forward or backward.
Noise Filter can be toggled on/off to reduce signals when the price doesn't align with the moving average.
How to Use the Indicator:
Parabolic SAR:
Green dots: Indicate a potential buy signal when the PSAR crosses below the price.
Red dots: Indicate a potential sell signal when the PSAR crosses above the price.
Buy/Sell Signals:
BUY: Occurs when the PSAR crosses below the price, and the price is above the moving average (if the filter is enabled).
SELL: Occurs when the PSAR crosses above the price, and the price is below the moving average (if the filter is enabled).
Noise Filter:
If enabled, the indicator will only trigger buy/sell signals if the price is also aligned with the moving average (above for buy, below for sell).
Moving Average:
A simple moving average (SMA) is plotted as a green line on the chart.
The moving average can be shifted forward or backward using the "MA Shift" parameter.
Parameters Explained:
Parabolic SAR Step (Default: 0.02): Controls the sensitivity of the PSAR dots. A smaller step results in dots closer to price, while a larger step results in dots further away.
Parabolic SAR Max (Default: 0.2): The maximum step size the PSAR can reach. This affects how quickly the dots move in strong trends.
Moving Average Period (Default: 6): The number of periods used to calculate the simple moving average. Adjust this to smooth out price action more or less.
MA Shift (Default: 0): Shifts the moving average line. Positive values shift it forward, and negative values shift it backward.
Enable Moving Average Filter (Default: True): Enables or disables the noise filter. If enabled, buy/sell signals require alignment with the moving average.
Графические паттерны
Prometheus Trend LinesPrometheus Trend lines is a tool that automatically plots support and resistance trend lines on your chart. These lines generally come out looking like triangles or wedges.
There are two ways that we do it, the first way we’ll cover is lookback period generated trend lines.
The two points for the lines are generated as follows, for a resistance line that is blue by default, the point furthest in the past is the highest high in the specified lookback period. 50 is the default, the point closest to the present is the current bar’s high. The opposite is true for support lines, the point furthest in the past is the lowest low, and the most present point is the current bar’s low.
The interval is created by ensuring after the lookback period is met to plot the lines, that period needs to pass again. That is so we can let the potential results of price breaking above or below the levels play out.
Lines will be plotted on the newest lookback period bar, after a period with no plot. What I mean is right after lines are plotted, users will have to wait for double the lookback period to get newer lines. So if you select 50 for your lookback value, after new lines are plotted, on the 100th bar after the new lines will be there. This is to avoid having a line on your chart change, we’d rather plot a line once, than plot it and keep changing it.
Each line is 50 bars long and all the distance in between them is 50 bars. The line is drawn simply with the shortest path from the back point to the more present one, this allows us to see breaks in the line and get a better idea of how strong the next move may be.
We see in this wedge on NASDAQ:TSLA that there were two false breaks before the price re-entered the wedge and continued falling. It could be interpreted as buyers did not have enough strength to get NASDAQ:TSLA out of a downtrend there.
We also offer an intra day line.
In this image captured with the bar replay feature we see the lines being generated with the high and low of the day, that is the method we use. Furthermore, a user may notice that the ends of the line are not at the newest bar. That is on purpose, we use the
barstate.islastconfirmedhistory
to ensure that we don’t change and plot too many lines at a given point. These two lines will reset every day as time changes and will auto use the current day high and low.
Users have the option to select a custom lookback period, as well as turn on or off the plots for either method of generating lines.
We encourage traders to not follow indicators blindly, none are 100% accurate. The lines generated are not guaranteed to be perfect support and resistance levels. We encourage the use of discretion. Please comment on any desired updates, all criticism is welcome!
Multi-Timeframe Intrabar CRT Candles
# Multi-Timeframe Intrabar Indicator
This advanced indicator visualizes Candle Range Theory (CRT) across multiple timeframes, providing traders with a comprehensive view of market structure and potential high-probability setups.
## Key Features:
- Supports 7 timeframes: 30 minutes, 1 hour, 2 hours, 4 hours, daily, weekly, and monthly
- Customizable color schemes for each timeframe
- Options to display mid-level (50%) lines for each range
- Bullish and bearish touch detection with customizable label display
- End-of-line labels for easy identification of CRT levels
- Flexible alert system for touch detections on each timeframe
- Adjustable minimum and maximum bar count for range validity
- Options for wick touch and body touch detection
## How It Works:
The indicator plots CRT ranges for each selected timeframe, identifying potential accumulation, manipulation, and distribution phases. It detects when price touches these levels, providing visual cues and optional alerts for potential trade setups.
## Customization:
Users can fine-tune the indicator's appearance and functionality through various input options, including:
- Toggling timeframes on/off
- Adjusting colors for range lines and mid-levels
- Controlling label display and count
- Setting alert preferences
- Adjusting line widths and label offsets
## Usage:
This indicator is designed for traders familiar with Candle Range Theory and multi-timeframe analysis. It can be used to identify potential entry and exit points, confirm trends, and spot potential reversals across different timeframes.
## Note:
This indicator is for educational and informational purposes only. Always combine with other forms of analysis and proper risk management when making trading decisions.
## Credits:
Inspired by Romeo's Candle Range Theory and developed to provide a comprehensive multi-timeframe analysis tool.
Cutrim TheoryCutrim Theory
Created by Dalpiaz-BR , this indicator is based on the Probabilistic Theory developed by the renowned Brazilian trader Ronal Cutrim. The indicator aims to provide a detailed analysis of market imbalances and candlestick patterns across different timeframes, utilizing multi-timeframe data and dynamic information tables. It is designed to help traders identify favorable market conditions and make informed decisions in their trades.
Indicator Description
The Cutrim Theory is an advanced indicator that combines candlestick pattern analysis, and market imbalances to give a clear view of market conditions. The tool uses multi-timeframe data and displays dynamic tables to facilitate visual analysis on the main chart and histogram.
Key Features:
Multi-Timeframe Imbalance Analysis:
The indicator calculates buy and sell imbalances based on the number of green and red candles in different timeframes.
Users can choose to display all imbalances, only the last imbalance, or turn off this feature.
Dynamic and Flexible Tables:
Main Table: Shows detailed data for different timeframes, such as the percentage of bullish and bearish candles, the size of the last candle, and the average candle size.
Dynamic Table Position: The table on the main chart can be set to automatically move based on the current price position (upper or lower). Users can also manually set the position.
Histogram Table: Displays a summary of key information in an additional table on the histogram.
Visualization of Averages and Candle Sizes:
Displays histograms and moving average lines for candle sizes, providing a clear visualization of current market volatility.
Imbalance Signals:
The indicator also adds "Buy" and "Sell" labels directly on the main chart when an imbalance is detected, helping traders spot trading opportunities.
Customizable Settings:
Imbalance Options: "Turn Off All," "Last Imbalance," or "All Imbalances."
Main Table Positions: "top_left," "top_right," "bottom_left," "bottom_right," or "Dynamic."
Signal Messages: Customize the "Buy" and "Sell" messages.
Benefits:
Provides a clear and intuitive view of market conditions across multiple timeframes.
Facilitates the detection of imbalances and market shifts.
Highly configurable to meet the needs of different types of traders.
This script is a powerful addition to any trader's toolbox who seeks a detailed and multi-timeframe analysis based on Ronal Cutrim's Probabilistic Theory. Enjoy and adjust according to your trading style!
200 MAPD - Relative Price with candlesticks and divergenceThis is a MAPD (moving average percent difference) indicator that plots the results in candlestick format and with an option to show divergencies of a specific look back period. It's built with 200 moving average, which cannot be adjusted. A divergence is when the actual asset price moves in the opposite direction than the MAPD.
MAPD measures the percent difference of the asset price from the moving average, in this case, 200 moving average.
MAPD is my favorite indicator because it's an leading indicator, capable of predicting upcoming directions pretty accurately if you learn how to use it and how it works on your specific asset. With candlesticks instead of line you can also apply your own price action techniques.
I created this to be somewhat of a substitute for the actual price of the asset, meaning that price action analysis should be applied on this indicator and asset price is used as a secondary to spot divergencies.
The chart showing on this description is my own discretionary plotting of technical aspects. Divergencies will be enabled per default, but my preference is to have them off and plot my own analysis. And turn them on to get an overview from time to time. You can also change the look back period for the divergencies as you like.
I would say it works best from 1 hour to 1 day, maybe 1 week if you're bottom fishing in a big bear trend.
If you try it out and like it i would love to hear how you find it useful in the comments, will be helpful for me and others :)
SPY $ectors | by Octopu$🏭 SPY Sectors with % Variance and Ticker Status| by Octopu$
What is SPY Sectors?
They are 11 SPY Sectors based on activity, which groups together their specific markets as well as the composition about the Tickers on the Sector.
For example: information technology, consumer discretionary, consumer staples, health care, financials, industrials, communication services, energy, , materials, utilities, real estate.
It is an useful resource for a trading system:
Can be used to follow up with tickers/sectors up and down moves and percentages as well as overall status and market sentiment as a whole.
AMEX:SPY
This indicator however should not be used as a standalone tool.
(The combination of factors relies on your own knowledge about Confluence Factors along with your Due Diligence)
This indicator is not an advice to buy or sell securities in any form.
ANY Ticker. ANY Timeframe.
Features:
• ALL Sector Track
• Up and Down Status
• Green and Red Colors
• % Indication
Options:
• Customization
• Location
Notes:
v1.0
Indicator release.
Changes and updates can come in the future for additional functionalities or per requests. Follow and Stay Tuned!
Did you like it? Please Support and Shoot me a message! I'd appreciate if you dropped by to say thanks! Thank you.
- Octopu$
🐙
Outside CandleThis script aims to detect the Outside Candle pattern, which is a candle that has a higher high and a lower low compared to the previous candle.
Larry Connors 3 Day High/Low StrategyThe Larry Connors 3 Day High/Low Strategy is a short-term mean-reversion trading strategy that is designed to identify potential buying opportunities when a security is oversold. This strategy is based on the principles developed by Larry Connors, a well-known trading system developer and author.
Key Strategy Elements:
1. Trend Confirmation: The strategy first confirms that the security is in a long-term uptrend by ensuring that the closing price is above the 200-day moving average (condition1). This rule helps filter trades to align with the longer-term trend.
2. Short-Term Pullback: The strategy looks for a short-term pullback by ensuring that the closing price is below the 5-day moving average (condition2). This identifies potential entry points when the price temporarily moves against the longer-term trend.
3. Three Consecutive Lower Highs and Lows:
• The high and low two days ago are lower than those of the day before (condition3).
• The high and low yesterday are lower than those of two days ago (condition4).
• Today’s high and low are lower than yesterday’s (condition5).
These conditions are used to identify a sequence of declining highs and lows, signaling a short-term pullback or oversold condition in the context of an overall uptrend.
4. Entry and Exit Signals:
• Buy Signal: A buy order is triggered when all the above conditions are met (buyCondition).
• Sell Signal: A sell order is executed when the closing price is above the 5-day moving average (sellCondition), indicating that the pullback might be ending.
Risks of the Strategy
1. Mean Reversion Failure: This strategy relies on the assumption that prices will revert to the mean after a short-term pullback. In strong downtrends or during market crashes, prices may continue to decline, leading to significant losses.
2. Whipsaws and False Signals: The strategy may generate false signals, especially in choppy or sideways markets where the price does not follow a clear trend. This can lead to frequent small losses that can add up over time.
3. Dependence on Historical Patterns: The strategy is based on historical price patterns, which do not always predict future price movements accurately. Sudden market news or economic changes can disrupt the pattern.
4. Lack of Risk Management: The strategy as written does not include stop losses or position sizing rules, which can expose traders to larger-than-expected losses if conditions change rapidly.
About Larry Connors
Larry Connors is a renowned trader, author, and founder of Connors Research and TradingMarkets.com. He is widely recognized for his development of quantitative trading strategies, especially those focusing on short-term mean reversion techniques. Connors has authored several books on trading, including “Short-Term Trading Strategies That Work” and “Street Smarts,” co-authored with Linda Raschke. His strategies are known for their systematic, rules-based approach and have been widely used by traders and investment professionals.
Connors’ research often emphasizes the importance of trading with the trend, managing risk, and using statistically validated techniques to improve trading outcomes. His work has been influential in the field of quantitative trading, providing accessible strategies for traders at various skill levels.
References
1. Connors, L., & Raschke, L. (1995). Street Smarts: High Probability Short-Term Trading Strategies.
2. Connors, L. (2009). Short-Term Trading Strategies That Work.
3. Fama, E. F., & French, K. R. (1988). Permanent and Temporary Components of Stock Prices. Journal of Political Economy, 96(2), 246-273.
This strategy and its variations are popular among traders looking to capitalize on short-term price movements while aligning with longer-term trends. However, like all trading strategies, it requires rigorous backtesting and risk management to ensure its effectiveness under different market conditions.
123 Reversal Trading StrategyThe 123 Reversal Trading Strategy is a technical analysis approach that seeks to identify potential reversal points in the market by analyzing price patterns. This Pine Script™ code implements a version of this strategy, and here’s a detailed description:
Strategy Overview
Objective: The strategy aims to identify bullish reversal patterns using the 123 pattern and manage trades with a specified holding period and a 20-day moving average as an additional exit condition.
Key Components:
Holding Period: The number of days to hold a trade is adjustable, with the default set to 7 days.
Moving Average: A 200-day simple moving average (SMA) is used to determine an exitcondition based on the price crossing this average.
Pattern Recognition:
Condition 1: The low of the current day must be lower than the low of the previous day.
Condition 2: The low of the previous day must be lower than the low from three days ago.
Condition 3: The low two days ago must be lower than the low from four days ago.
Condition 4: The high two days ago must be lower than the high three days ago.
Entry Condition: All four conditions must be met for a buy signal.
Exit Condition: The position is closed either after the specified holding period or when the price reaches or exceeds the 200-day moving average.
Relevant Literature
Graham, B., & Dodd, D. L. (1934). Security Analysis. This classic work introduces fundamental analysis and technical analysis principles which are foundational to understanding patterns like the 123 reversal.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets. Murphy provides an extensive overview of technical indicators and chart patterns, including reversal patterns similar to the 123 pattern.
Elder, A. (1993). Trading for a Living. Elder discusses various trading strategies and technical analysis techniques that complement the understanding of reversal patterns and their application in trading.
Risks and Considerations
Pattern Reliability: The 123 reversal pattern, like many technical patterns, is not foolproof. It can generate false signals, especially in volatile or trending markets. This may lead to losses if the pattern does not play out as expected.
Market Conditions: The strategy may perform differently under various market conditions. In strongly trending markets, reversal patterns might not be as reliable.
Lagging Indicators: The use of the 200-day moving average as an exit condition can be considered a lagging indicator. This means it reacts to price movements with a delay, which might result in late exits and missed profit opportunities.
Holding Period: The fixed holding period of 7 days may not be optimal for all market conditions or stocks. It is essential to adjust the holding period based on market dynamics and individual stock behavior.
Overfitting: The parameters used (like the number of days and moving average length) are set based on historical data. Overfitting can occur if these parameters are tailored too specifically to past data, leading to reduced performance in future scenarios.
Conclusion
The 123 Reversal Trading Strategy is designed to identify potential market reversals using specific conditions related to price lows and highs. While it offers a structured approach to trading, it is essential to be aware of its limitations and potential risks. As with any trading strategy, it should be tested thoroughly in various market conditions and adjusted according to the individual trading style and risk tolerance.
Earnings Date Highlighter - from0_to_1This indicator, called "Earnings Date Highlighter," is designed to visualize earnings data for up to four different stocks on a single chart. It's particularly useful for traders or investors who want to track earnings events for multiple companies simultaneously, such as the top holdings of an ETF.
Key features:
1. Tracks earnings data (estimates and actuals) for four user-defined symbols.
2. Plots earnings data points with customizable colors for each symbol.
3. Highlights earnings dates with background colors.
4. Displays green up arrows for earnings beats and red down arrows for earnings misses.
Why someone would use it:
1. To monitor earnings events for multiple stocks in a single view.
2. To quickly identify potential market-moving events for key components of an ETF or portfolio.
3. To spot patterns in earnings performance across different companies or sectors.
4. To help with timing trades or adjusting positions around earnings announcements.
This tool can be particularly valuable for investors focused on ETFs, as it allows them to visualize earnings dates and performance for the ETF's major holdings all in one place, potentially providing insights into how the ETF might behave around these key events.
Author:
www.tradingview.com
MAC-Z Indicator with Slope-Based Coloring - Vondor XMAC-Z Indicator with Trend-Based Slope Filtering and Background Shading
Author: Vondor
Description:
The MAC-Z Indicator is an advanced technical analysis tool designed to assess momentum and trend strength using a combination of Z-score and MACD principles. The indicator applies a calculated MAC-Z value, which is derived from a weighted combination of a VWAP Z-score and MACD-style moving averages. The inclusion of a short-term Simple Moving Average (SMA) on the MAC-Z helps identify potential crossovers, providing signals of momentum changes.
Additionally, this enhanced version incorporates trend-based slope filtering, which adjusts the coloring and background of the chart based on the slope of the MAC-Z SMA (SMAMACZ). The filter helps to distinguish between uptrends, downtrends, and flat trends. Dynamic color coding is used to visualize the direction of the trend:
Green: Uptrend, indicating positive momentum.
Red: Downtrend, indicating negative momentum.
Yellow: Flat or sideways trend.
How It Works:
MAC-Z Calculation: The indicator computes a MAC-Z value, blending the Z-score (a standardized measure of relative price) and MACD (trend-following momentum).
SMA Slope Filter: A short-term SMA on the MAC-Z value smooths the signal, and the slope of this SMA determines trend direction. The slope's magnitude is compared against a threshold to determine whether it is flat, up, or down.
Visual Cues: The indicator uses color coding for the MAC-Z SMA line and applies background shading to highlight uptrend, downtrend, and flat trend conditions.
Inputs:
Z-Score Length (lengthz): Defines the period for calculating the VWAP Z-score.
Standard Deviation Length (lengthStdev): The lookback period for standard deviation in the MACD calculation.
MAC-Z Constant A & B (A, B): Constants used to adjust the impact of the Z-score and MACD in the final MAC-Z formula.
Laguerre Smoothing (useLag, gamma): Optional smoothing using the Laguerre filter to reduce noise.
SMA MAC-Z Length (SZlen): Length of the short SMA applied to the MAC-Z to create crossover signals.
Flat Slope Threshold: Defines the sensitivity for detecting flat trends (default is 0.08).
Usage:
The MAC-Z Indicator is particularly useful for identifying trend reversals, momentum shifts, and spotting overbought/oversold conditions. By filtering out noise using the SMA slope-based coloring, it can help avoid false signals in periods of small oscillations.
Best Timeframes:
This indicator is most effective on longer time periods, such as 4-hour or daily charts, where price movements are more stable and less prone to short-term market noise. Using it on lower timeframes may result in frequent false signals and more "choppy" market conditions.
The background shading and color-coded lines make it easy to spot trend changes, helping traders make informed decisions about entering or exiting trades based on longer-term momentum shifts.
Conclusion:
The MAC-Z Indicator with trend filtering is a powerful tool for identifying momentum-driven market trends. It combines the strengths of Z-scores, MACD, and moving average crossovers to provide clear signals, making it an excellent choice for traders who focus on longer timeframes, such as daily or 4-hour charts, to capture significant trend movements.
Price Action Volumetric Order Blocks [UAlgo]"Price Action Volumetric Order Blocks" indicator aims to identify significant price zones in the market based on a combination of price action and volume analysis. It utilizes the concept of "Order Blocks," which are areas on the chart where large orders are believed to have been placed, influencing price behavior. By analyzing price swings and volume activity, the indicator attempts to highlight potential support and resistance levels.
🔶 Key Features
Swing Length: This input allows you to adjust the timeframe used to identify price swings for order block detection. A longer swing length will focus on larger timeframes and potentially capture stronger order blocks.
Show Last X Order Blocks: This controls the number of order blocks displayed on the chart. You can choose to visualize a specific number of the most recent order blocks.
Violation Check: This setting determines how the indicator identifies potential order block violations. You can choose between "Wick" or "Close" violations. A "Wick" violation occurs when the price (wick) extends beyond the order block boundaries, while a "Close" violation signifies that the closing price breaches the order block.
Hide Overlap: This option allows you to manage the display of overlapping order blocks. If set to "True," only non-overlapping order blocks will be shown, potentially offering a clearer visualization.
Colors: You can customize the color scheme for bullish (upward) and bearish (downward) order blocks to enhance visual clarity on the chart.
🔶 Interpreting the Indicator
Order Blocks: The teal-colored boxes represent bullish order blocks, indicating areas of demand where buying pressure is likely to be strong. Red-colored boxes represent bearish order blocks, indicating areas of supply where selling pressure is likely to be dominant. These zones often signal potential reversal points or consolidation areas.
Strength Calculations: The indicator calculates the relative strength of bullish and bearish blocks based on volume. A higher bullish strength indicates stronger buying pressure, while higher bearish strength suggests more selling pressure. Traders can use this information to gauge the strength of a price level and predict future price movements.
Market Structure Lines: The indicator displays horizontal lines to depict the current market structure, labeled as "MSB" (Market Sell Balance) or "BOS" (Break of Structure). These lines can help visualize the prevailing trend direction.
Order Block Violations: When a price wick or close breaches an order block (depending on the chosen violation type), the corresponding order block visualization is removed from the chart. This can signify a potential weakening of the identified support or resistance zone.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Trend/with EMA382Introduction to the "Trend/with EMA382" Indicator
The "Trend/with EMA382" indicator is a powerful technical analysis tool that combines trend signals with Exponential Moving Averages (EMA), offering traders a comprehensive view of market dynamics and helping identify potential trading opportunities.
1. Trend Analysis with Trend
The first part of this indicator uses a trend calculation algorithm based on the recent market highs and lows. These levels are used to determine the primary trend:
Bullish (Uptrend): When the market is in an uptrend, the chart will display buy signals in green.
Bearish (Downtrend): When the market is trending down, sell signals are shown in red.
The crossover points between price and trend levels will indicate buy or sell signals on the chart, enabling traders to easily spot entry and exit points.
2. Combination with EMA382
EMA (Exponential Moving Average) is a crucial tool in technical analysis, helping smooth price data and eliminate insignificant short-term fluctuations. This indicator uses three key EMAs:
EMA 34: Reflects short-term trends.
EMA 89: Helps identify medium-term trends.
EMA 200: Determines long-term trends.
These three EMAs assist traders in identifying the overall direction of the market, allowing them to forecast potential trend developments.
3. Application in Trading
The "Trend/with EMA382" indicator is designed to suit various time frames, from short-term to long-term trading. The combination of trend signals and EMAs helps:
Identify the primary market trend.
Provide accurate entry and exit signals.
Deliver clear signals for risk management and profit optimization.
Conclusion
"Trend/with EMA382" is an effective indicator that offers clear signals for both trend and market momentum. By combining EMAs with trend analysis, this indicator empowers traders to make more informed and precise trading decisions.
EagleVision.V33 - Inside Pin Bar EagleVision.V33 is a specialized indicator designed for traders who focus on price action. It detects and highlights the Inside Pin Bar candle pattern, a key signal that can indicate potential market reversals or trend continuations. This tool is invaluable for traders who rely on precise candlestick patterns to make data-driven decisions.
Features:
• Customizable Pattern Highlighting: EagleVision.V33 allows traders to choose custom colors to highlight Inside Pin Bar patterns directly on the chart. This makes identifying critical trading signals straightforward, even in busy market conditions.
• Pin Bar Candle Customization: Beyond just highlighting, the indicator enables users to change the color of the detected pin bar itself, ensuring that crucial patterns are immediately visible and easy to track.
• Versatile Timeframe Application: The indicator can be applied across various timeframes, from intraday (1 minute, 5 minutes) to longer-term charts (daily, weekly). Users can easily switch between timeframes within the settings, making it adaptable to different trading strategies.
• Enhanced Visual Clarity with Background Highlighting: For traders who prefer additional emphasis, EagleVision.V33 offers an option to apply a background color that highlights the entire region where the Inside Pin Bar pattern is detected.
How It Works:
• Inside Bar Identification: The indicator first identifies an Inside Bar, where a candle’s high and low fall within the range of the preceding candle (the mother bar). This is a foundational pattern in price action trading.
• Pin Bar Detection: It then checks if the candle is a Pin Bar, characterized by a small body and a prominent wick (either upper or lower), which typically signals potential market turning points.
• Pattern Highlighting & Visualization: Upon detecting both conditions (Inside Bar and Pin Bar), EagleVision.V33 highlights the pattern using customizable shapes and colors, and optionally applies a background shade to further enhance visibility.
Use Cases:
• Reversals at Key Levels: The Inside Pin Bar pattern often appears at significant support or resistance levels, signaling potential reversals. EagleVision.V33 helps traders spot these opportunities early.
• Trend Continuations: In trending markets, this pattern can confirm the continuation of a trend, providing traders with the confidence to hold positions or enter new ones.
Customization Options:
• Pattern Highlight Color: Choose a distinct color for the label or shape that marks the Inside Pin Bar pattern, making it stand out against other chart elements.
• Pin Bar Candle Color: Customize the color of the Pin Bar itself, ensuring that it is immediately recognizable on the chart.
• Background Highlighting: Optionally apply a background color to the chart area where the pattern is detected, further enhancing visual clarity and making it easier to spot potential trading opportunities.
Why EagleVision.V33 Stands Out:
EagleVision.V33 is not just another pattern detection tool; it’s engineered for precision and clarity, with highly customizable features that cater to the unique needs of price action traders. By combining both Inside Bar and Pin Bar detection, it offers a powerful edge, providing traders with actionable insights directly on their charts.
Rainbow Histogram v1.01Sure! Here’s a compelling English version of the article for your TradingView post:
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### 🌈 **Introducing Rainbow Histogram: A Fusion of EMA and MA for Enhanced Trading Analysis**
**Hello Traders,**
I’m excited to introduce a fresh concept that combines technical analysis techniques into a new indicator called **Rainbow Histogram**. This innovative tool blends Exponential Moving Averages (EMA) and Moving Averages (MA) to provide you with a powerful and accurate tool for making trading decisions.
#### **🎨 What is Rainbow Histogram?**
The Rainbow Histogram is designed to help you identify market trends and signal precise entry and exit points by blending EMA and MA into a colorful "Rainbow" display. This visual approach enhances your ability to spot trend strength and direction with clarity.
#### **📈 How Does Rainbow Histogram Work?**
1. **Exponential Moving Average (EMA):** Captures short-term trends and reacts quickly to price changes.
2. **Moving Average (MA):** Tracks long-term trends and provides a broader view of the market direction.
**Rainbow Histogram** uses the combination of EMA and MA to create a histogram that shows the difference between these two averages in distinct colors. This makes it easy to visualize trend changes and market momentum.
#### **🔧 Setting It Up**
1. **EMA:** Adjust the EMA settings based on your trading timeframe and strategy (e.g., EMA 9, EMA 21).
2. **MA:** Set the MA parameters to capture long-term trends (e.g., MA 50, MA 200).
#### **🌟 Why Use Rainbow Histogram?**
- **Simplified Analysis:** Quickly identify trends and their strength with a clear visual representation.
- **Distinct Colors:** Differentiate between EMA and MA with vibrant colors for easy interpretation.
- **Precise Signals:** Get clear buy and sell signals based on histogram changes.
#### **📥 Get Started**
Add **Rainbow Histogram** to your TradingView charts by searching for the script in TradingView’s library or set it up manually using the recommended settings.
#### **📝 In Summary**
**Rainbow Histogram** is a unique tool that simplifies trend analysis and enhances accuracy by merging EMA and MA into a single, colorful indicator. Use this tool to refine your trading strategy and make more informed financial decisions.
If you have any questions or feedback about **Rainbow Histogram**, feel free to comment below or send me a message!
**Happy Trading!** 🌟
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I hope this version effectively captures attention and engages your audience!
S&R Tracker [CHE]Dynamic S&R Tracker
1. Introduction to the Tool
Purpose:
The Dynamic S&R Tracker is a powerful TradingView tool designed to automatically detect and display support and resistance levels across multiple timeframes. It dynamically adjusts based on the current chart’s timeframe, making it easier for traders to identify key price levels for both shortterm and longterm analysis.
Key Features:
Dynamic adjustment of support and resistance levels based on realtime market conditions
Simultaneous visualization of support and resistance for two different timeframes
Automatic selection of optimal timeframes for accurate and efficient analysis
2. Functionality
Automatic Timeframe Selection:
The Dynamic S&R Tracker uses a smart function to automatically adjust the analysis timeframe based on the market’s current conditions. It selects the appropriate intervals (e.g., 1 hour, 1 day, 1 month) for displaying support and resistance levels, reducing the need for manual intervention.
Support and Resistance Identification:
The tool calculates and identifies key pivot highs and lows, which act as support and resistance levels. These levels are displayed for two timeframes at once, giving a comprehensive view of the market's shortterm and longterm trends.
3. Benefits
Efficiency:
With automatic adjustments, traders save time by not having to manually change timeframes or recalculate levels.
Enhanced Market Insight:
By analyzing two timeframes simultaneously, the tool provides a broader market perspective, helping traders spot potential reversal points and breakouts.
Customizability:
Though dynamic, the Dynamic S&R Tracker offers flexibility for manual adjustments, allowing traders to finetune the analysis based on personal preferences or market strategies.
4. Visualization
Support and Resistance Levels:
The tool uses clear visual markers—green for support and red for resistance—making it easy to spot critical price zones on the chart.
Informative Timeframe Display:
The tracker includes a customizable information box that shows the selected timeframes used in the analysis, keeping the user informed at all times.
5. Conclusion
The Dynamic S&R Tracker is an essential tool for traders seeking an automated, precise, and flexible way to analyze support and resistance across multiple timeframes. By offering dynamic adjustments and clear visual feedback, it simplifies the decisionmaking process and provides deeper market insights.
Ideal for traders who need a streamlined and adaptable solution to better navigate market trends.
N Bar Reversal Detector [LuxAlgo]The N Bar Reversal Detector is designed to detect and highlight N-bar reversal patterns in user charts, where N represents the length of the candle sequence used to detect the patterns. The script incorporates various trend indicators to filter out detected signals and offers a range of customizable settings to fit different trading strategies.
🔶 USAGE
The N-bar reversal pattern extends the popular 3-bar reversal pattern. While the 3-bar reversal pattern involves identifying a sequence of three bars signaling a potential trend reversal, the N-bar reversal pattern builds on this concept by incorporating additional bars based on user settings. This provides a more comprehensive indication of potential trend reversals. The script automates the identification of these patterns and generates clear, visually distinct signals to highlight potential trend changes.
When a reversal chart pattern is confirmed and aligns with the price action, the pattern's boundaries are extended to create levels. The upper boundary serves as resistance, while the lower boundary acts as support.
The script allows users to filter patterns based on the trend direction identified by various trend indicators. Users can choose to view patterns that align with the detected trend or those that are contrary to it.
🔶 DETAILS
🔹 The N-bar Reversal Pattern
The N-bar reversal pattern is a technical analysis tool designed to signal potential trend reversals in the market. It consists of N consecutive bars, with the first N-1 bars used to identify the prevailing trend and the Nth bar confirming the reversal. Here’s a detailed look at the pattern:
Bullish Reversal : In a bullish reversal setup, the first bar is the highest among the first N-1 bars, indicating a prevailing downtrend. Most of the remaining bars in this sequence should be bearish (closing lower than where they opened), reinforcing the existing downward momentum. The Nth (most recent) bar confirms a bullish reversal if its high price is higher than the high of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be higher than the high of the first bar.
Bearish Reversal : In a bearish reversal setup, the first bar is the lowest among the first N-1 bars, indicating a prevailing uptrend. Most of the remaining bars in this sequence should be bullish (closing higher than where they opened), reinforcing the existing upward momentum. The Nth bar confirms a bearish reversal if its low price is lower than the low of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be lower than the low of the first bar.
🔹 Min Percentage of Required Candles
This parameter specifies the minimum percentage of candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) among the first N-1 candles in a pattern. For higher values of N, it becomes more challenging for all of the first N-1 candles to be consistently bullish or bearish. By setting a percentage value, P, users can adjust the requirement so that only a minimum of P percent of the first N-1 candles need to meet the bullish or bearish condition. This allows for greater flexibility in pattern recognition, accommodating variations in market conditions.
🔶 SETTINGS
Pattern Type: Users can choose the type of the N-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the last bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns.
Reversal Pattern Sequence Length: Specifies the number of candles (N) in the sequence used to identify a reversal pattern.
Min Percentage of Required Candles: Sets the minimum percentage of the first N-1 candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) to qualify as a valid reversal pattern.
Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones.
🔹 Trend Filtering
Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend.
🔹 Trend Indicator Settings
Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow moving averages.
Supertrend: Options to set the ATR length and factor for Supertrend.
Donchian Channels: Option to set the length for the channel calculation.
🔶 RELATED SCRIPTS
Reversal-Candlestick-Structure.
Reversal-Signals.
Season ChartThis overlay is built on the idea of seasonal charts.
It is constructed by taking the percentage change from each close and recording that change for every trading day of any year that is within the sample. We then take the average for each day of all the years.
These averages are then cumulated to create the chart as per traditional seasonal chart construction.
I have also taken a trimmed mean of the averages to try and dampen the impact one off moves that may have a dramatic effect on the daily averages (for example the crash to $0 in oil in April 2020) however, even removing 10% may not guarantee one off moves won’t affect the average.
The construction of the chart is completely dependent on the data provided by TradingView and so it is recommended that if longer sample sizes are used, the user go back to check that the years contained within the sample have a full history. Some data may have large gaps in their history and this can distort the seasonality readings.
I have attempted to align the chart with the first trading day of the year, but the start of some months may be out by a day or two as it becomes difficult to track all weeks with differing market holidays closures each year and this in turn varies the total amount of actual trading days in each year as well as leap years.
This overlay is designed for the Daily time frame only and will not work on Crypto or any other instrument that trades outside of usual business weekdays. Future updates may include the ability to adapt to Crypto instruments.
All feedback and comments welcome!
Prometheus StochasticThe Stochastic indicator is a popular indicator developed in the 1950s. It is designed to identify overbought and oversold scenarios on different assets. A value above 80 is considered overbought and a value below 20 is considered oversold.
The formula is as follows:
%k = ((Close - Low_i) / (High_i / Low_i)) * 100
Low_i and High_i represent the lowest low and highest high of the selected period.
The Prometheus version takes a slightly different approach:
%k = ((High - Lowest_Close_i) / (High_i / Low_i)) * 100
Using the Current High minus the Lowest Close provides us with a more robust range that can be slightly more sensitive to moves and provide a different perspective.
Code:
stoch_func(src_close, src_high, src_low, length) =>
100 * (src_high - ta.lowest(src_close, length)) / (ta.highest(src_high, length) - ta.lowest(src_low, length))
This is the function that returns our Stochastic indicator.
What period do we use for the calculation? Let Prometheus handle that, we utilize a Sum of Squared Error calculation to find what lookback values can be most useful for a trader. How we do it is we calculate a Simple Moving Average or SMA and the indicator using a lot of different bars back values. Then if there is an event, characterized by the indicator crossing above 80 or below 20, we subtract the close by the SMA and square it. If there is no event we return a big value, we want the error to be as small as possible. Because we loop over every value for bars back, we get the value with the smallest error. We also do this for the smoothing values.
// Function to calculate SSE for a given combination of N, K, and D
sse_calc(_N, _K, _D) =>
SMA = ta.sma(close, _N)
sf = stoch_func(close, high, low, _N)
k = ta.sma(sf, _K)
d = ta.sma(k, _D)
var float error = na
if ta.crossover(d, 80) or ta.crossunder(d, 20)
error := math.pow(close - SMA, 2)
else
error := 999999999999999999999999999999999999999
error
var int best_N = na
var int best_K = na
var int best_D = na
var float min_SSE = na
// Loop through all combinations of N, K, and D
for N in N_range
for K in K_range
for D in D_range
sse = sse_calc(N, K, D)
if (na(min_SSE) or sse < min_SSE)
min_SSE := sse
best_N := N
best_K := K
best_D := D
int N_opt = na
int K_opt = na
int D_opt = na
if c_lkb_bool == false
N_opt := best_N
K_opt := best_K
D_opt := best_D
This is the section where the best lookback values are calculated.
We provide the option to use this self optimizer or to use your own lookback values.
Here is an example on the daily AMEX:SPY chart. The top Stochastic is the value with the SSE calculation, the bottom is with a fixed 14, 1, 3 input values. We see in the candles with boxes where some potential differences and trades may be.
This is another comparison of the SSE functionality and the fixed lookbacks on the NYSE:PLTR 1 day chart.
Differences may be more apparent on lower time frame charts.
We encourage traders to not follow indicators blindly, none are 100% accurate. SSE does not guarantee that the values generated will be the best for a given moment in time. Please comment on any desired updates, all criticism is welcome!
MACD with DPO Strategy by NGExplanation of the MACD with DPO Strategy:
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following indicator that shows the relationship between two moving averages of a price.
In this script:
We calculate the MACD line by subtracting the slow moving average (typically 26-period EMA) from the fast moving average (typically 12-period EMA).
The Signal line is calculated as a 9-period EMA of the MACD line.
The Histogram is the difference between the MACD line and the Signal line, indicating the momentum of the price trend.
Buy Condition: The script generates a buy signal when the MACD histogram crosses from negative to positive (indicating a bullish momentum) and DPO is also positive.
Sell Condition: The script generates a sell signal when the MACD histogram crosses from positive to negative (indicating a bearish momentum) and DPO is also negative.
DPO (Detrended Price Oscillator):
The DPO removes long-term trends from prices, making it easier to identify shorter-term cycles or oscillations.
In this script:
We calculate the DPO by subtracting a shifted simple moving average (SMA) from the close price. The shifting period depends on half the specified period.
We also calculate the DPO SMA as a 30-period EMA of the DPO values.
DPO Color: The DPO line is colored green when the DPO is above zero (indicating upward momentum) and red when it is below zero (indicating downward momentum). The histogram is also colored based on whether the DPO is positive or negative.
Plotting and Alerts:
The script plots the MACD, Signal, and Histogram on the chart.
Additionally, it plots the DPO and its SMA with different colors depending on whether the DPO is above or below zero.
Buy Signal: A green arrow labeled "BUY" is plotted below the bar when both MACD and DPO indicate a bullish condition.
Sell Signal: A red arrow labeled "SELL" is plotted above the bar when both MACD and DPO indicate a bearish condition.
Background colors are used to highlight the chart whenever a buy or sell condition occurs.
The script also includes alerts for both buy and sell signals, allowing users to set notifications when conditions are met.
How to Use:
Identify Buy and Sell Signals:
The script generates a Buy signal when:
The MACD histogram crosses from negative to positive (bullish momentum), and
The DPO is above zero (indicating upward momentum).
The script generates a Sell signal when:
The MACD histogram crosses from positive to negative (bearish momentum), and
The DPO is below zero (indicating downward momentum).
Chart Visualization:
The MACD histogram and Signal line help visualize the momentum and potential trend reversal.
The DPO and DPO SMA help visualize the shorter-term price cycles.
The signals (Buy and Sell) will be plotted on the chart with arrows indicating entry points.
Customization:
You can adjust the MACD and DPO parameters (such as fast_length, slow_length, period_) to fit your trading style or market conditions.
The script can be used in any timeframe depending on your strategy (e.g., intraday trading or longer-term trading).
Example Scenario:
If you're looking for potential buy opportunities, wait for the script to generate a buy signal (green arrow) where the MACD histogram has shifted to positive, and DPO is also in the green (above zero). This signals that both momentum and cycle direction are aligned for a potential upward movement.
Conversely, for sell opportunities, wait for the red arrow where MACD momentum is turning negative and DPO is also negative (below zero), indicating a bearish condition.
This combination of MACD and DPO allows traders to identify stronger and more reliable entry/exit points by confirming the trend with the MACD and detecting shorter-term price cycles with the DPO.
Combo 2/20 EMA & CCI
This is another part of my research work, where I test a combination of two strategies, receiving a combined signal. In order to understand which indicator combinations work better, which work worse, as filters for trades. This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Commodity Channel Index (CCI) is best used with markets that display cyclical or seasonal characteristics, and is formulated to detect the beginning and ending of the cycles by incorporating a moving average together with a divisor that reflects both possible and actual trading ranges. The final index measures the deviation from normal, which indicates major changes in market trend.
Strategy tester settings:
Initial capital: 1000
Order size: 0.5
Commission: 0.1%
Other as default.
Indicator settings:
EMA Length: 50
CCI Length: 10
Fast MA Length: 15
Slow MA Length: 20
Other as default.
WARNING:
- For purpose educate only
- This script to change bars colors.
Next Candle Predictor with Auto HedgingThe "Next Candle Predictor with Auto Hedging" is a Pine Script indicator designed for use on TradingView. It combines predictive analysis and basic hedging techniques to assist traders in making informed decisions. Here's a detailed explanation suitable for public sharing on TradingView:
Overview
This script predicts the closing price of the next candle based on the current candle's open and close prices. It also includes an auto hedging feature that suggests potential hedging levels to mitigate risk based on the predicted price movement. The indicator is particularly useful for traders looking to enhance their trading strategies with predictive analytics.
Key Features
Next Candle Prediction:
The indicator analyzes the current candle's data (open and close prices) to predict whether the next candle will close higher or lower.
If the current candle is bullish (close > open), it predicts a higher close for the next candle. Conversely, if the candle is bearish, it predicts a lower close.
Auto Hedging:
The script calculates a hedging level based on the predicted close price.
If the predicted close indicates a bullish move, the hedge level is set slightly below the predicted close, suggesting where a trader might consider placing a hedge. If the prediction indicates a bearish move, the hedge level is set above the predicted close.
Elliott Wave Analysis:
The script includes a basic implementation of identifying significant price movements, akin to Elliott Wave analysis, by detecting peaks and troughs over a specified number of bars (wave length).
This can help traders identify potential trend reversals or continuations.
How It Works
Input Parameters: Users can customize the waveLength parameter, which determines how many bars back the script looks to identify significant highs and lows.
Peak and Trough Detection: The script identifies the highest high and lowest low within the specified wave length, plotting these points on the chart for visual reference.
Prediction Logic: The predicted close is calculated based on the current candle's behavior, allowing traders to anticipate price movements.
Hedging Level Calculation: The script dynamically calculates a hedging level based on the predicted close, providing a visual cue for potential risk management strategies.
Visual Representation
The indicator plots:
Elliott Wave Highs: Marked in green.
Elliott Wave Lows: Marked in red.
Predicted Close: Shown as a blue step line.
Hedge Level: Displayed as an orange step line.
Benefits
Enhanced Decision-Making: By providing predictions and potential hedging levels, traders can make more informed decisions about entering or exiting positions.
Risk Management: The auto hedging feature helps traders manage risk by suggesting levels where they might place hedges against adverse price movements.
Customizable: The script allows for user-defined parameters, making it adaptable to different trading strategies and market conditions.
Conclusion
The "Next Candle Predictor with Auto Hedging" indicator is a powerful tool for traders seeking to enhance their trading strategies with predictive analytics and risk management techniques. By utilizing this indicator, traders can gain insights into potential price movements and make more informed trading decisions.
Feel free to explore the script, customize it to fit your trading style, and engage with the TradingView community for further insights and improvements!
Related
MMDN-Pin BarThis Pine Script code is designed to highlight Pin Bars on a TradingView chart by changing their color to yellow. A Pin Bar is a type of candlestick pattern that typically indicates a potential reversal in the market. The script uses specific conditions to identify bullish and bearish Pin Bars based on the size of the candlestick body and the length of the shadows (wicks).
1. Calculate Body and Shadows:
body: The absolute difference between the close and open prices.
upshadow: The upper shadow, calculated differently depending on whether the close is higher or lower than the open.
downshadow: The lower shadow, calculated similarly.
2. Define Pin Bar Conditions:
pinbar_h: Identifies a bullish Pin Bar if the previous candle's close is greater than its open, the previous candle's body is larger than the current candle's body, the upper shadow is more than half the size of the body, and the upper shadow is more than twice the size of the body.
pinbar_l: Identifies a bearish Pin Bar with similar conditions but for the lower shadow.
Set Pin Bar Color:
barcolor: Changes the color of the identified Pin Bars to yellow.
