Dynamic Market Structure DetectorTitle: Dynamic Market Structure Detector – Real-Time BoS & ChoCH Signals
Short Description:
Identify market structure dynamically with real-time Break of Structure (BoS) and Change of Character (ChoCH) signals. Highlight untested support and resistance zones to improve trading precision.
Full Description:
The Dynamic Market Structure Detector is a powerful TradingView indicator designed for traders who want to automate the identification of key market structure levels. This indicator simplifies market analysis by dynamically tracking swing highs and lows, marking critical Break of Structure (BoS) and Change of Character (ChoCH) points, and highlighting untested support and resistance zones.
Key Features:
1. Real-Time Signals:
• Marks Break of Structure (BoS) and Change of Character (ChoCH) points as they occur.
• Automatically updates as the market evolves.
2. Dynamic Swing Highs and Lows:
• Tracks swing highs and lows based on user-defined sensitivity (Swing Length).
• Adjust swing length to tailor signals for intraday or swing trading.
3. Untested Zones Highlight:
• Visualize untested support and resistance zones dynamically.
• Opacity settings allow customization for better chart readability.
4. Customizable Inputs:
• Swing Length:
Adjust the sensitivity of BoS and ChoCH signals.
• Smaller Swing Length values (e.g., 3–5): Capture short-term market movements, ideal for intraday trading.
• Larger Swing Length values (e.g., 10–20): Focus on significant market structure changes for swing or positional trading.
Experiment with these values to find the best fit for your trading style.
• Untested Zone Opacity:
Control the visibility of highlighted support and resistance zones.
• Lower opacity values (e.g., 10–50): Make the zones more prominent, helpful for darker chart backgrounds.
• Higher opacity values (e.g., 70–90): Provide subtle highlights, better suited for lighter chart setups.
• A value of 100% renders the zones completely transparent (invisible).
Use this setting to customize the visual appearance of your chart while still retaining key zone information.
5. User-Friendly Visualization:
• Color-coded labels for BoS (Green) and ChoCH (Red).
• Highlight zones for untested areas using customizable colors (Support: Blue, Resistance: Orange).
Why Use This Indicator?
• Simplifies market structure analysis by automating key calculations.
• Helps traders identify potential trend reversals and continuation points.
• Reduces the need for manual charting, saving time and effort.
• Provides visual clarity on untested zones for better decision-making.
Recommended Usage:
• Intraday Traders: Use smaller Swing Length values (e.g., 3–5) to capture short-term market movements.
• Swing Traders: Opt for higher Swing Length values (e.g., 10–20) to focus on larger market structure changes.
• Monitor untested zones for potential price reactions, enhancing your trade entries and exits.
Notes :
This indicator is best suited for traders who prefer price action trading and market structure analysis. While the indicator provides reliable insights, it is recommended to use it in conjunction with other analysis tools for a holistic trading approach.
Credits:
Developed by TradeTech Analysis to empower traders with automated tools for smarter trading decisions.
אינדיקטורים ואסטרטגיות
Uptrick: Zero Lag HMA Trend Suite1. Name and Purpose
Uptrick: Zero Lag HMA Trend Suite is a Pine Version 6 script that builds upon the Hull Moving Average (HMA) to offer an advanced trend analysis tool. Its purpose is to help traders identify trend direction, potential reversals, and overall market momentum with reduced lag compared to traditional moving averages. By combining the HMA with Average True Range (ATR) thresholds, slope-dependent coloring, Volume Weighted Average Price (VWAP) ribbons, and optional reversal signals, the script aims to give a detailed view of price activity in various market environments.
2. Overview
This script begins with the calculation of a Hull Moving Average, a method that blends Weighted Moving Averages in a way designed to cut down on lag while still smoothing out price fluctuations. Next, several enhancements are applied. The script compares current HMA values to previous ones for slope-based coloring, which highlights uptrends and downtrends at a glance. It also plots buy and sell signals when price moves beyond or below thresholds determined by the ATR and the user’s chosen signal multiplier. An optional VWAP ribbon can be shown to confirm bullish or bearish conditions relative to a volume-weighted benchmark. Additionally, the script can plot reversal signals (labeled with B) at points where price crosses back toward the HMA from above or below. Taken together, these elements allow traders to visualize both the short-term momentum and the broader context of how price interacts with volatility and overall market direction.
3. Why These Indicators Have Been Linked Together
The reason the Hull Moving Average, the Average True Range, and the VWAP have been integrated into one script is to tackle multiple facets of market analysis in a single tool. The Zero Lag Hull Moving Average provides a responsive trend line, the ATR offers a measure of volatility that helps distinguish significant price shifts from typical fluctuations, and the VWAP acts as a reference for fair value based on traded volume. By layering all three, the script helps traders avoid the need to juggle multiple separate indicators and offers a holistic perspective. The slope-based coloring focuses on trend direction, the ATR-based thresholds refine possible buy and sell zones, and the VWAP ribbons provide insight into how price stands relative to an important volume-weighted level. The inclusion of up and down signals and reversal B labels further refines entries and exits.
4. Why Use Uptrick: Zero Lag HMA Trend Suite
The Hull Moving Average is already known for reacting more quickly to price changes compared to other moving averages while retaining a degree of smoothness. This suite enhances the basic HMA by showing colored gradients that make it easy to spot trend direction changes, highlighting potential entry or exit points based on volatility-driven thresholds, and optionally layering a volume-based measure of bullish or bearish market sentiment. By relying on a zero lag approach and additional data points, the script caters to those wanting a more responsive method of identifying shifts in market dynamics. The added reversal signals and up or down alerts give traders extra confirmation for potential turning points.
5. How This Extension Improves on the Basic HMA
This extension not only plots the Hull Moving Average but also includes data-driven alerts and visual cues that traditional HMA lines do not provide. First, it offers multi-layered slope coloring, making up or down trends quickly apparent. Second, it uses ATR-based thresholds to pinpoint moments when price may be extending beyond normal volatility, thus generating buy or sell signals. Third, the script introduces an optional VWAP ribbon to indicate whether the market is trading above or below this pivotal volume-weighted benchmark, adding a further confirmation step for bullish or bearish conditions. Finally, it incorporates optional reversal signals labeled with B, indicating points where price might swing back toward the main HMA line.
6. Core Components
The script can be broken down into several primary functions and features.
a. Zero Lag HMA Calculation
Uses two Weighted Moving Averages (half-length and full-length) combined through a smoothing step based on the square root of the chosen length. This approach is designed to reduce lag significantly compared to other moving averages.
b. Slope Detection
Compares current and prior HMA values to determine if the trend is up or down. The slope-based coloring changes between turquoise shades for upward movement and magenta shades for downward movement, making trend direction immediately visible.
c. ATR-Based Thresholding for Up and Down Signals
The script calculates an Average True Range over a user-defined period, then multiplies it by a signal factor to form two bands around the HMA. When price crosses below the lower band, an up (buy) signal appears; when it crosses above the upper band, a down (sell) signal is shown.
d. Reversal Signals (B Labels)
Tracks when price transitions back toward the main HMA from an extreme zone. When enabled, these reversal points are labeled with a B and can help traders see potential turning points or mean-reversion setups.
e. VWAP Bands
An optional Volume Weighted Average Price ribbon that plots above or below the HMA, indicating bullish or bearish conditions relative to a volume-weighted price benchmark. This can also act as a kind of support/ resistance.
7. User Inputs
a. HMA Length
Controls how quickly the moving average responds to price changes. Shorter lengths react faster but can lead to more frequent signals, whereas longer lengths produce smoother lines.
b. Source
Specifies the price input, such as close or an alternative source, for the calculation. This can help align the HMA with specific trading strategies.
c. ATR Length and Signal Multiplier
Defines how the script calculates average volatility and sets thresholds for buy or sell alerts. Adjusting these values can help filter out noise or highlight more aggressive signals.
d. Slope Index
Determines how many bars to look back for detecting slope direction, influencing how sensitive the slope coloring is to small fluctuations.
e. Show Buy and Sell Signals, Reversal Signals, and VWAP
Lets users toggle the display of these features. Turning off certain elements can reduce chart clutter if traders prefer a simpler layout.
8. Calculation Process
The script’s calculation follows a step-by-step approach. It first computes two Weighted Moving Averages of the selected price source, one over half the specified length and one over the full length. It then combines these using 2*wma1 minus wma2 to reduce lag, followed by applying another weighted average using the square root of the length. Simultaneously, it computes the ATR for a user-defined period. By multiplying ATR by the signal multiplier, it establishes upper and lower bands around the HMA, where crossovers generate buy (up) or sell (down) signals. The script can also plot reversal signals (B labels) when price crosses back from these bands in the opposite direction. For the optional VWAP feature, Pine Script’s ta.vwap function is used, and differences between the HMA and VWAP levels determine the color and opacity of the ribbon.
9. Signal Generation and Filtering
The ATR-based thresholds reduce the influence of small, inconsequential price swings. When price falls below the lower band, the script issues an up (buy) signal. If price breaks above the upper band, a down (sell) signal appears. These signals are visible through labels placed near the bars. Reversal signals, labeled with B, can be turned on to help detect when price retraces from an extended area back toward the main HMA line. Traders can disable or enable these signals to match their preferred level of chart detail or risk tolerance.
10. Visualization on the Chart
The Zero HMA Lag Trend Suite aims for visual clarity. The HMA line is plotted multiple times with increasing transparency to create a gradient effect. Turquoise gradients indicate upward slopes, and magenta gradients signify downward slopes. Bar coloring can be configured to align with the slope direction, providing quick insight into current momentum. When enabled, buy or sell labels are placed under or above the bars as price crosses the ATR-defined boundaries. If the reversal option is active, B labels appear around areas where price changes direction. The optional VWAP ribbons form background bands, using distinct coloration to signal whether price is above or below the volume-weighted metric.
11. Market Adaptability
Because the script’s parameters (HMA length, ATR length, signal multiplier, and slope index) are user-configurable, it can adapt to a wide range of markets and timeframes. Intraday traders may prefer a shorter HMA length for quick signals, while swing or position traders might use a longer HMA length to filter out short-lived price changes. The source setting can also be adjusted, allowing for specialized data inputs beyond just close or open values.
12. Risk Management Considerations
The script’s signals and labels are based on past price data and volatility readings, and they do not guarantee profitable outcomes. Sharp market reversals or unforeseen fundamental events can produce false signals. Traders should combine this tool with broader risk management strategies, including stop-loss placement, position sizing, and independent market analyses. The Zero HMA Lag Trend Suite can help highlight potential opportunities, but it should not be relied upon as the sole basis for trade decisions.
13. Combining with Other Tools
Many traders choose to verify signals from the Zero HMA Lag Trend Suite using popular indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), or even simple volume-based metrics to confirm whether a price movement has sufficient momentum. Conventional techniques such as support and resistance levels, chart patterns, or candlestick analysis can also supplement signals generated by the script’s up, down, or reversal B labels.
14. Parameter Customization and Examples
a. Short-Term Day Trading
Using a shorter HMA length (for instance, 9 or 14) and a slightly higher ATR multiplier might provide timely buy and sell signals, though it may also produce more whipsaws in choppy markets.
b. Swing or Position Trading
Selecting a longer HMA length (such as 50 or 100) with a moderate ATR multiplier can help users track more significant and sustained market moves, potentially reducing the effect of minor fluctuations.
c. Multiple Timeframe Blends
Some traders load two versions of the indicator on the same chart, one for short-term signals (with frequent B label reversals) and another for the broader trend direction, aligning entry and exit decisions with the bigger picture.
15. Realistic Expectations
Even though the Hull Moving Average helps minimize lag and the script incorporates volatility-based filters and optional VWAP overlays, it cannot predict future market behavior with complete accuracy. Periods of low liquidity or sudden market shocks can still lead to signals that do not reflect longer-term trends. Frequent parameter review and manual confirmation are advised before executing trades based solely on the script’s outputs.
16. Theoretical Background
The Hull Moving Average formula aims to balance smoothness with reactivity, accomplished by combining Weighted Moving Averages at varying lengths. By subtracting a slower average from a faster one and then applying another smoothing step with the square root of the original length, the HMA is designed to respond more promptly to price changes than typical exponential or simple moving averages. The ATR component, introduced by J. Welles Wilder, calculates the average range of price movement over a user-defined period, allowing the script to assess volatility and adapt signals accordingly. VWAP provides a volume-weighted benchmark that many institutional traders track to gauge fair intraday value.
17. Originality and Uniqueness
Although multiple HMA-based indicators can be found, Uptrick: Zero Lag HMA Trend Suite sets itself apart by merging slope-based coloring, ATR thresholds, VWAP ribbons, up or down labels, and optional reversal signals all in one cohesive platform. This synergy aims to reduce chart clutter while still giving traders a comprehensive look at trend direction, volatility, and volume-based sentiment.
18. Summary
Uptrick: Zero Lag HMA Trend Suite is a specialized trading script designed to highlight potential market trends and reversals with minimal delay. It leverages the Hull Moving Average for an adaptive yet smooth price line, pairs ATR-based thresholds for detecting possible breakouts or dips, and provides VWAP-based ribbons for added volume-weighted context. Traders can further refine their entries and exits by enabling up or down signals and reversal labels (B) where price may revert toward the HMA. Suitable for a wide range of timeframes and instrument types, the script encourages a disciplined approach to trade management and risk control.
19. Disclaimer
This script is provided for informational and educational purposes only. Trading and investing involve significant financial risk, and no indicator can guarantee success under all conditions. Users should practice robust risk management, including the placement of stop losses and position sizing, and should confirm signals with additional analysis tools. The developer of this script assumes no liability for any trading decisions or outcomes resulting from its use.
Machine Learning Moving Average [LuxAlgo]The Machine Learning Moving Average (MLMA) is a responsive moving average making use of the weighting function obtained Gaussian Process Regression method. Characteristic such as responsiveness and smoothness can be adjusted by the user from the settings.
The moving average also includes bands, used to highlight possible reversals.
🔶 USAGE
The Machine Learning Moving Average smooths out noisy variations from the price, directly estimating the underlying trend in the price.
A higher "Window" setting will return a longer-term moving average while increasing the "Forecast" setting will affect the responsiveness and smoothness of the moving average, with higher positive values returning a more responsive moving average and negative values returning a smoother but less responsive moving average.
Do note that an excessively high "Forecast" setting will result in overshoots, with the moving average having a poor fit with the price.
The moving average color is determined according to the estimated trend direction based on the bands described below, shifting to blue (default) in an uptrend and fushia (default) in downtrends.
The upper and lower extremities represent the range within which price movements likely fluctuate.
Signals are generated when the price crosses above or below the band extremities, with turning points being highlighted by colored circles on the chart.
🔶 SETTINGS
Window: Calculation period of the moving average. Higher values yield a smoother average, emphasizing long-term trends and filtering out short-term fluctuations.
Forecast: Sets the projection horizon for Gaussian Process Regression. Higher values create a more responsive moving average but will result in more overshoots, potentially worsening the fit with the price. Negative values will result in a smoother moving average.
Sigma: Controls the standard deviation of the Gaussian kernel, influencing weight distribution. Higher Sigma values return a longer-term moving average.
Multiplicative Factor: Adjusts the upper and lower extremity bounds, with higher values widening the bands and lowering the amount of returned turning points.
🔶 RELATED SCRIPTS
Machine-Learning-Gaussian-Process-Regression
SuperTrend-AI-Clustering
EMA with Bar Count
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### **Key Features and Functionalities**
#### 1. **Multi-Timeframe Exponential Moving Averages (EMA)**
- The script calculates and plots EMAs for various timeframes (e.g., 1 minute, 5 minutes, 60 minutes, daily, and custom intervals).
- Users can customize the length and resolution of each EMA using inputs.
- Different colors are assigned to each EMA for easy identification on the chart.
#### 2. **Background Coloring**
- Optional background coloring (`bgcolor`) indicates whether the current price is above or below the 1-hour 20 EMA.
- Green indicates the price is above, and red indicates the price is below the EMA.
#### 3. **Bar Count Labeling**
- The script tracks bar counts and displays labels at specific intervals (e.g., every 3 bars).
- Label size and text color can be customized through user inputs.
#### 4. **Inside and Outside Bar Detection**
- Detects and highlights "Inside Bars" and "Outside Bars" on the chart.
- **Inside Bar**: The current bar's high and low are within the previous bar's range.
- **Outside Bar**: The current bar's range exceeds the previous bar's range.
- These patterns are marked with shapes for visual identification.
#### 5. **Bullish/Bearish Candle Streaks**
- Identifies and marks streaks of three consecutive bullish or bearish candles.
- **Bullish Streaks**: Marked with green shapes above the bar.
- **Bearish Streaks**: Marked with red shapes above the bar.
#### 6. **Time-Based Marking**
- The script includes an option to highlight specific time intervals (e.g., 7:30 AM) with a colored vertical line or background shading.
- Configurable time inputs allow flexibility.
#### 7. **Micro Gap Detection**
- Highlights gaps between the opening price of the current bar and the closing price of the previous bar.
- Blue shapes indicate bullish gaps.
- Purple shapes indicate bearish gaps.
#### 8. **TR (Trading Range) Detection**
- Identifies bars with significant overlap based on a user-defined threshold.
- Displays "TR" labels when overlap conditions are met.
#### 9. **Bar Coloring**
- Optionally colors bars based on specific conditions:
- Green: Bullish breakout (high and low higher than the previous bar, closing above the midpoint).
- Red: Bearish breakout (high and low lower than the previous bar, closing below the midpoint).
#### 10. **50% Midpoint Line**
- Displays a horizontal line at the 50% midpoint of the bar's range, customizable for the current or last bar only.
#### 11. **Pattern Detection**
- Recognizes specific candlestick patterns (e.g., IOI, OII, IOO).
- Provides alerts for detected patterns or predefined thresholds.
#### 12. **Alerts**
- Configurable alerts for:
- Specific patterns (e.g., IOI, OII, IOO).
- Bar range exceeding a user-defined threshold.
- Bullish or bearish streaks.
#### 13. **Gap Detector**
- Identifies gaps between bars and marks them with shaded boxes.
- Bullish gaps are shaded green, while bearish gaps are shaded red.
#### 14. **Advanced Customization**
- Extensive user inputs allow traders to tailor the indicator to their trading style.
- Includes support for various levels of detail (e.g., debug mode, label visibility, etc.).
#### 15. **ZigZag and Wedge Patterns**
- Optional zigzag lines to connect swing highs and lows.
- Detects wedge patterns using customizable settings for pivot points and angle differences.
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### **Use Case Scenarios**
1. **Trend Identification**: Use multi-timeframe EMAs to confirm overall market direction.
2. **Range Trading**: Trade within ranges using detected inside and outside bars as key levels.
3. **Breakout Trading**: Use patterns like IOI and OII to anticipate breakouts.
4. **Scalping**: Exploit bullish and bearish streaks or micro gaps for quick trades.
5. **Pattern-Based Alerts**: Set up alerts for specific market conditions or candlestick patterns.
### **Why This Indicator Is Useful**
- Combines multiple trading tools into a single, customizable script.
- Saves time by automating complex calculations and pattern detections.
- Improves decision-making with clear visual cues and configurable alerts.
Let me know if you'd like any additional explanations or adjustments!
Quartile For Loop [SeerQuant]Quartile For Loop (QFL)
- The Quartile For Loop (QFL) is an advanced trend-following and scoring oscillator designed to detect momentum shifts and trend transitions using a quartile-based analysis. By leveraging quartile calculations and iterative scoring logic, QFL delivers dynamic trend signals which can be tailored to suit various market conditions.
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⚙️ How It Works
1️⃣ Quartile-Based Calculation
The indicator calculates the weighted average of the first quartile (Q1), median (Q2), and third quartile (Q3) over a customizable length, providing a robust adaptive trend value.
2️⃣ For Loop Scoring System
A unique for-loop structure iteratively scores each quartile value against historical data, delivering actionable trend signals. Users can toggle between price-based and quartile-based scoring methods for flexibility.
3️⃣ Threshold Logic
Bullish (Uptrend): Score exceeds the positive threshold.
Bearish (Downtrend): Score falls below the negative threshold.
Neutral: Score remains between thresholds.
4️⃣ Visual Trend Enhancements
Optional candle coloring and a color-coded SMA provide clear visual cues for identifying trend direction. The adaptive quartile is dynamically updated to reflect changing market conditions.
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✨ Customizable Settings
Indicator Inputs
Quartile Length: Define the calculation length for quartile analysis.
Calculation Source: Choose the data source for quartile calculations (e.g., close price).
Alternate Signal: Toggle between price-based and quartile-based scoring.
Loop Settings
Start/End Points: Set the range for the for-loop scoring system.
Thresholds: Customize uptrend and downtrend thresholds.
Style Settings
Candle Coloring: Enable optional trend-based candle coloring.
Color Schemes: Select from five unique palettes for trend visualization.
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🚀 Features and Benefits
Quartile-Driven Analysis: Harnesses the statistical power of quartiles for adaptive trend evaluation.
Dynamic Scoring: Iterative scoring logic adjusts to market fluctuations.
Clear Visual Representation: Color-coded histograms, candles, and trendlines enhance readability.
Fully Customizable: Flexible inputs allow adaptation to diverse trading styles and strategies.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Market analysis is inherently speculative and subject to risk. Users should consult a licensed financial advisor before making trading decisions. Use at your own discretion.
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3 Down, 3 Up Strategy█ STRATEGY DESCRIPTION
The "3 Down, 3 Up Strategy" is a mean-reversion strategy designed to capitalize on short-term price reversals. It enters a long position after consecutive bearish closes and exits after consecutive bullish closes. This strategy is NOT optimized and can be used on any timeframes.
█ WHAT ARE CONSECUTIVE DOWN/UP CLOSES?
- Consecutive Down Closes: A sequence of trading bars where each close is lower than the previous close.
- Consecutive Up Closes: A sequence of trading bars where each close is higher than the previous close.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The price closes lower than the previous close for Consecutive Down Closes for Entry (default: 3) consecutive bars.
The signal occurs within the specified time window (between Start Time and End Time).
If enabled, the close price must also be above the 200-period EMA (Exponential Moving Average).
2. EXIT CONDITION
A Sell Signal is generated when the price closes higher than the previous close for Consecutive Up Closes for Exit (default: 3) consecutive bars.
█ ADDITIONAL SETTINGS
Consecutive Down Closes for Entry: Number of consecutive lower closes required to trigger a buy. Default = 3.
Consecutive Up Closes for Exit: Number of consecutive higher closes required to exit. Default = 3.
EMA Filter: Optional 200-period EMA filter to confirm long entries in bullish trends. Default = disabled.
Start Time and End Time: Restrict trading to specific dates (default: 2014-2099).
█ PERFORMANCE OVERVIEW
Designed for volatile markets with frequent short-term reversals.
Performs best when price oscillates between clear support/resistance levels.
The EMA filter improves reliability in trending markets but may reduce trade frequency.
Backtest to optimize consecutive close thresholds and EMA period for specific instruments.
TTrades Fractal ModelFractal Model by TTrades
Crafted with TTrades, the Fractal Model empowers traders with a refined approach to Algorithmic Price Delivery. Specifically designed for those aiming to capitalize on expansive moves, this model anticipates momentum shifts, swing formations, orderflow continuations, as well as helping analysts highlight key areas to anticipate price deliveries.
Description:
The Fractal Model° is rooted in the cyclical nature of price movements, where price alternates between large and small ranges. Expansion occurs when price moves consistently in one direction with momentum. By combining higher Timeframe closures with the confirmation of the change in state of delivery (CISD) on the lower Timeframe, the model reveals moments when expansion is poised to occur.
RSI OB/OS Strategy Analyzer█ OVERVIEW
The RSI OB/OS Strategy Analyzer is a comprehensive trading tool designed to help traders identify and evaluate overbought/oversold reversal opportunities using the Relative Strength Index (RSI). It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of RSI-based strategies over a user-defined lookback period.
█ KEY FEATURES
RSI Calculation
Calculates RSI with customizable period (default 14)
Plots dynamic overbought (70) and oversold (30) levels
Adds background coloring for OB/OS regions
Reversal Signals
Identifies signals based on RSI crossing OB/OS levels
Two entry strategies available:
Revert Cross: Triggers when RSI exits OB/OS zone
Cross Threshold: Triggers when RSI enters OB/OS zone
Trade Direction
Users can select a trade bias:
Long: Focuses on oversold reversals (bullish signals)
Short: Focuses on overbought reversals (bearish signals)
Performance Metrics
Calculates three key statistics for each lookback period:
Win Rate: Percentage of profitable trades
Mean Return: Average return across all trades
Median Return: Median return across all trades
Metrics calculated as percentage changes from entry price
Visual Signals
Dual-layer signal display:
BUY: Green triangles + text labels below price
SELL: Red triangles + text labels above price
Semi-transparent background highlighting in OB/OS zones
Performance Table
Interactive table showing metrics for each lookback period
Color-coded visualization:
Win Rate: Gradient from red (low) to green (high)
Returns: Green for positive, red for negative
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
Adjustable table font sizes: Auto/Small/Normal/Large
Toggle option for table visibility
█ PURPOSE
The RSI OB/OS Strategy Analyzer helps traders:
Identify mean-reversion opportunities through RSI extremes
Backtest entry strategy effectiveness across multiple time horizons
Optimize trade timing through visual historical performance data
Quickly assess strategy robustness with color-coded metrics
█ IDEAL USERS
Counter-Trend Traders: Looking to capitalize on RSI extremes
Systematic Traders: Needing quantitative strategy validation
Educational Users: Studying RSI behavior in different market conditions
Multi-Timeframe Analysts: Interested in forward returns analysis
Comprehensive Volume and Metrics with Pre-Market Volume Data
This script is designed for traders who want a detailed view of market activity, including regular market and pre-market volume, dollar volume, relative volume (RVOL), average daily range (ADR), average true range (ATR), relative strength index (RSI), and the QQQ’s percentage change.
The script includes customizable metrics displayed in tables on the chart for easy analysis, with the option to toggle the visibility of each metric.
Key Features:
Volume and Dollar Volume:
Displays the volume of shares traded during the current day (or pre-market, if enabled).
Includes a calculation of dollar volume, representing the total dollar amount of trades (Volume × Close Price).
Relative Volume (RVOL):
Displays RVOL Day, which is the relative volume of the current day compared to the 2-day moving average.
Shows RVOL 90D, indicating relative volume over the past 90 days.
Both RVOL metrics are calculated as percentages and display the percentage change compared to the standard (100%).
Pre-Market Data:
Includes pre-market volume (PVOL) and pre-market dollar volume (P$ VOL) which are displayed only if pre-market data is enabled.
Tracks volume and dollar volume during pre-market hours (4:00 AM to 9:30 AM Eastern Time) for more in-depth analysis.
Optionally, shows pre-market RSI based on volume-weighted close prices.
Average Daily Range (ADR):
Displays the percentage change between the highest and lowest prices over the defined ADR period (default is 20 days).
Average True Range (ATR):
Shows the ATR, a popular volatility indicator, for a given period (default is 14 bars).
RSI (Relative Strength Index):
Displays RSI for the given period (default is 14).
RSI is calculated using pre-market data when available.
QQQ:
Shows the percentage change of the QQQ ETF from the previous day’s close.
The QQQ percentage change is color-coded: green for positive, red for negative, and gray for no change.
Customizable Inputs:
Visibility Options: Toggle the visibility of each metric, such as volume, dollar volume, RVOL, ADR, ATR, RSI, and QQQ.
Pre-Market Data: Enable or disable the display of pre-market data for volume and dollar volume.
Table Positioning: Adjust the position of tables displaying the metrics either at the bottom-left or bottom-right of the chart.
Text Color and Table Background: Choose between white or black text for the tables and customize the background color.
Tables:
The script utilizes tables to display multiple metrics in an organized and easy-to-read format.
The values are updated dynamically, reflecting real-time data as the market moves.
Pre-Market Data:
The script calculates pre-market volume and dollar volume, along with other key metrics like RSI and RVOL, to help assess market sentiment before the market officially opens.
The pre-market data is accumulated from 4:00 AM to 9:30 AM ET, allowing for pre-market analysis and comparison to regular market hours.
User-Friendly and Flexible:
This script is designed to be highly customizable, giving you the ability to toggle which metrics to display and where they appear on the chart. You can easily focus on the data that matters most to your trading strategy.
Internal Bar Strength (IBS) Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a long position when the IBS indicates oversold conditions and exits when the IBS reaches overbought levels. This strategy was designed to be used on the daily timeframe.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- **Low IBS (≤ 0.2)**: Indicates the close is near the bar's low, suggesting oversold conditions.
- **High IBS (≥ 0.8)**: Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value drops below the Lower Threshold (default: 0.2).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value rises to or above the Upper Threshold (default: 0.8). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy exits trades. Default is 0.8.
Lower Threshold: The IBS level at which the strategy enters long positions. Default is 0.2.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for ranging markets and performs best when prices frequently revert to the mean.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
Breakout Detection using EMAs and Mansfield Relative StrengthThis script identifies breakout opportunities based on a combination of price action, volume, and relative strength. It is designed for daily timeframe charts and helps traders pinpoint strong bullish setups with the following criteria:
Price Action: Stock price is above both the 10-day EMA and 5-week EMA.
EMA Trends: The 10-day EMA is above the 20-day EMA, and the 5-week EMA is above the 10-week EMA, confirming bullish momentum.
Customizable Parameters: Customize the index for the Mansfield Relative Strength, the volume multiplier, and the price breakout look-back period.
Price Breakout: The price is at a 3-month high, indicating strength.
Volume Breakout: A volume spike occurs, surpassing the 20-day average volume by a user-defined multiplier.
Features:
Generates clear breakout signals with a green triangle below the bar.
Integrated Mansfield Relative Strength for relative performance analysis.
Alerts for when all conditions are met, ensuring you never miss an opportunity.
How to Use:
Add this script to a daily chart of your chosen stock.
Look for green triangle signals indicating a potential breakout.
Adjust the parameters to suit your trading strategy and preferred index for the Mansfield Relative Strength.
This tool is ideal for swing traders looking to combine technical analysis with relative strength metrics for high-conviction bullish setups.
Bollingers Bands Fibonacci ratios_copy of FOMOBollinger Bands Fibonacci Ratios (FiBB)
This TradingView script is a powerful tool that combines the classic Bollinger Bands with Fibonacci ratios to help traders identify potential support and resistance zones based on market volatility.
Key Features:
Dynamic Fibonacci Levels: The script calculates additional levels around a Simple Moving Average (SMA) using Fibonacci ratios (default: 1.618, 2.618, and 4.236). These levels adapt to market volatility using the Average True Range (ATR).
Customizable Parameters: Users can modify the length of the SMA and the Fibonacci ratios to fit their trading strategy and time frame.
Visual Representation: The indicator plots three upper and three lower bands, with color-coded transparency for easy interpretation.
Central SMA Line: The core SMA line provides a baseline for price movement and trend direction.
Shaded Range: The script visually fills the area between the outermost bands to highlight the overall range of price action.
How to Use:
Use the upper bands as potential resistance zones and the lower bands as potential support zones.
Look for price interactions with these levels to identify opportunities for breakout, trend continuation, or reversal trades.
Combine with other indicators or price action analysis to enhance decision-making.
This script is ideal for traders who want a unique blend of Fibonacci-based analysis and Bollinger Bands to better navigate market movements.
Bollinger Bands Reversal Strategy Analyzer█ OVERVIEW
The Bollinger Bands Reversal Overlay is a versatile trading tool designed to help traders identify potential reversal opportunities using Bollinger Bands. It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of reversal-based strategies over a user-defined lookback period.
█ KEY FEATURES
Bollinger Bands Calculation
The indicator calculates the standard Bollinger Bands, consisting of:
A middle band (basis) as the Simple Moving Average (SMA) of the closing price.
An upper band as the basis plus a multiple of the standard deviation.
A lower band as the basis minus a multiple of the standard deviation.
Users can customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Reversal Signals
The indicator identifies potential reversal signals based on the interaction between the price and the Bollinger Bands.
Two entry strategies are available:
Revert Cross: Waits for the price to close back above the lower band (for longs) or below the upper band (for shorts) after crossing it.
Cross Threshold: Triggers a signal as soon as the price crosses the lower band (for longs) or the upper band (for shorts).
Trade Direction
Users can select a trade bias:
Long: Focuses on bullish reversal signals.
Short: Focuses on bearish reversal signals.
Performance Metrics
The indicator calculates and displays the performance of trades over a user-defined lookback period ( barLookback ).
Metrics include:
Win Rate: The percentage of trades that were profitable.
Mean Return: The average return across all trades.
Median Return: The median return across all trades.
These metrics are calculated for each bar in the lookback period, providing insights into the strategy's performance over time.
Visual Signals
The indicator plots buy and sell signals on the chart:
Buy Signals: Displayed as green triangles below the price bars.
Sell Signals: Displayed as red triangles above the price bars.
Performance Table
A customizable table is displayed on the chart, showing the performance metrics for each bar in the lookback period.
The table includes:
Win Rate: Highlighted with gradient colors (green for high win rates, red for low win rates).
Mean Return: Colored based on profitability (green for positive returns, red for negative returns).
Median Return: Colored similarly to the mean return.
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
The table's font size can be adjusted to suit the user's preference, with options for "Auto," "Small," "Normal," and "Large."
█ PURPOSE
The Bollinger Bands Reversal Overlay is designed to:
Help traders identify high-probability reversal opportunities using Bollinger Bands.
Provide actionable insights into the performance of reversal-based strategies.
Enable users to backtest and optimize their trading strategies by analyzing historical performance metrics.
█ IDEAL USERS
Swing Traders: Looking for reversal opportunities within a trend.
Mean Reversion Traders: Interested in trading price reversals to the mean.
Strategy Developers: Seeking to backtest and refine Bollinger Bands-based strategies.
Performance Analysts: Wanting to evaluate the effectiveness of reversal signals over time.
Price Oscillator Indicator (for Grid Stratagy)What is this?
This indicator represents the range that the price travels from its lowest to its highest point within a single candlestick. It is calculated as follows: (Highest Price - Lowest Price) / Closing Price * 100.
What is its purpose?
The indicator is specifically designed for grid trading, allowing traders to evaluate the arbitrage efficiency of conducting grid trading on a particular asset.
How to use this indicator?
Add it to your TradingView chart and switch the chart to a 1-minute timeframe. You can adjust the 'slow sma length' parameter to calculate the price oscillator for a specific period (the default value is 4320, which equals 3 days). The higher the amplitude of an asset, the more efficient it may be to apply a grid trading strategy on that asset.
Please note, this indicator is solely for assessing the price fluctuation range of assets and should not be taken as investment advice.
Currency ComparatorIndicator Description
This script helps you compare the price changes of various cryptocurrencies against each other.
While TradingView provides some pairs like ETH/BTC or BNB/BTC, it lacks support for comparing lower-market-cap coins against BTC or other currencies. That’s where this script comes in, allowing you to easily view ratios like DOGS/BTC, LSD/BTC, and more.
You can also analyze the relationship between two high-market-cap assets, such as ETH/SOL, which is often not available directly on TradingView.
Additionally, this indicator enables you to view the changes of two cryptocurrencies alongside a base currency. For example, you can observe how Bitcoin's rise impacts LSD and whether it strengthens or weakens relative to BTC.
Features
Maximized View: You can open the indicator in a maximized chart view and use it like any other chart for your technical analysis.
Customizable Comparisons: Compare any two assets with ease by configuring the indicator inputs.
Important Notes
1.Preserving Drawings:
Drawings and tools applied to the indicator chart are not tied to the indicator’s settings. This means changing the inputs won’t affect them. To avoid losing your work:
Open the chart of the base asset (e.g., LSD/USDT) where you want to analyze a specific pair (e.g., LSD/BTC).
Use the indicator there. This way, whenever you want to revisit your analysis, you only need to open the base chart (e.g., LSD/USDT) and update the indicator inputs to the desired pair (e.g., LSD/BTC).
2.Deleting the Indicator:
Removing the indicator from the chart will also delete all your drawings. If you need to keep them, do not delete the indicator.
3.Precision Settings:
By default, the indicator displays up to 12 decimal places (precision). For pairs where such precision isn’t required, you can adjust it in the settings under the "Style" section to your preferred value. If you need higher precision again, simply reset it to the default value.
EBL - Enhanced BOS LogicEBL - Enhanced BOS Logic
The EBL (Enhanced Break of Structure Logic) script is a powerful tool for traders who want to identify and act on key structural shifts in the market. By combining visual cues, such as horizontal lines and dynamic arrows, the script highlights critical points of interest where market behavior may indicate significant bullish or bearish momentum.
What Makes EBL Unique?
Break of Structure (BOS) Identification:
The script dynamically detects when price breaks above or below significant highs and lows, marking these levels as key BOS points.
Once a BOS level is confirmed, it is displayed on the chart as a horizontal line, allowing traders to easily identify areas of potential support and resistance.
Real-Time Validation and Invalidations:
Bullish BOS levels remain active until a bearish candle closes below the initiating bullish candle.
Similarly, bearish BOS levels remain active until a bullish candle closes above the initiating bearish candle.
If a BOS level is invalidated, both the corresponding line and its arrow are automatically removed to maintain chart clarity.
Visual Clarity with Arrows and Lines:
Customizable triangle arrows (green for bullish and red for bearish) appear alongside lines to signal entry opportunities.
Traders can adjust line length, colors, and visibility of arrows to fit their charting style.
Alerts for Confirmation:
Receive alerts when bullish or bearish structures are confirmed, ensuring you never miss a signal even when away from your chart.
How the Script Works
Detection of Bullish and Bearish Structures:
The script identifies a "Bullish Break" when the price closes above the high of a bullish candle followed by a bearish one.
A "Bearish Break" is detected when the price closes below the low of a bearish candle followed by a bullish one.
Line and Arrow Placement:
Horizontal lines are drawn at the high or low of the respective BOS level.
Triangular arrows are plotted just below or above the respective levels to indicate potential trade opportunities.
Automatic Cleanup:
When a line is invalidated by opposing market movement, both the line and its connected arrow are automatically removed from the chart.
How to Use EBL
Settings:
Adjust line colors (green for bullish, red for bearish) to suit your charting theme.
Customize arrow visibility or hide lines if you prefer a less cluttered chart.
Set the horizontal line length to match your desired timeframe and analysis depth.
Trading Concepts:
Trend Reversal Zones: Use invalidated BOS levels as signals for possible trend reversals.
Momentum Trading: Follow confirmed BOS levels to identify areas where price momentum is likely to continue.
Dynamic Support and Resistance: Leverage the lines to identify evolving support and resistance zones.
Alerts:
Enable alerts to receive notifications when bullish or bearish trends are confirmed, allowing you to stay informed without constant monitoring.
Conceptual Basis
This script is based on the widely used market structure concept, which is fundamental to price action trading. By tracking the highs and lows created by bullish and bearish movements, the EBL script provides an objective and systematic approach to identifying and trading key structural points in the market.
With the EBL - Enhanced BOS Logic, traders can visually and systematically track market structure, identify potential trade setups, and maintain a cleaner chart with automated line and arrow management. This script is ideal for trend-following, scalping, and swing trading strategies across all markets and timeframes.
