Power Balance Bull&Bear - CoffeeKillerPower Balance Bull&Bear - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the Power Balance Bull&Bear indicator, a unique and powerful market analysis tool developed by CoffeeKiller that visualizes the ongoing battle between buyers and sellers in any market.
Core Concept: Buyers vs. Sellers
The foundation of this indicator rests on a simple yet profound concept: every price movement in the market represents a battle between buyers and sellers.
Positive Green Line: Buyer Power
- Represents cumulative buying pressure in the market
- Tracks positive directional movement over a specified period
- Rising positive line indicates increasing buying momentum
- Peaks in the positive line show moments of maximum buyer dominance
Negative Red Line: Seller Power
- Represents cumulative selling pressure in the market
- Tracks negative directional movement over a specified period
- Falling negative line indicates increasing selling momentum
- Troughs in the negative line show moments of maximum seller dominance
Master Line: Market Balance
- Calculated as the difference between positive and negative movements
- Above zero: buyers are in control
- Below zero: sellers are in control
- Peaks and troughs: moments of extreme buyer or seller dominance
Core Components
1. Directional Movement Analysis
- Cumulative measurement of price changes in both directions
- Normalization for consistent visualization
- Optional smoothing for clearer signals
- Custom box size for sensitivity control
2. Distance Measurement
- Calculation of separation between buyer and seller lines
- Convergence and divergence thresholds
- Dynamic fill coloring based on distance trends
- Distance trend visualization
3. Peak Detection System
- Identification of local maxima and minima in buyer/seller dominance
- Background highlighting of significant peaks
- Zero-line cross detection for trend changes
- Visual cues for market extremes
4. Trend Analysis
- Buyer/seller line crossovers for major trend signals
- Distance trending for momentum confirmation
- Status monitoring (Near, Far, Normal)
- Direction tracking for both buyer and seller lines
Main Features
Time Resolution Settings
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
- Multi-timeframe analysis capabilities
- Flexible time projection options
Visual Elements
- Color-coded buyer and seller lines
- Dynamic fill coloring based on convergence/divergence
- Background highlighting for significant peaks
- Distance line with threshold markers
Signal Generation
- Buyer/seller crossover alerts
- Convergence/divergence notifications
- Peak detection signals
- Status change alerts
Analysis Table(I personally don't use the table it was coded to take longer signals to show strength or weakness in overall trend)
- Current distance measurement
- Distance trend indication
- Status monitoring (Near, Far, Normal)
- Buyer and seller line trend tracking
Trading Applications
1. Trend Identification
- Buyer line crossing above seller line: bullish trend beginning
- Seller line crossing above buyer line: bearish trend beginning
- Distance between lines: trend strength
- Distance trending: momentum confirmation
2. Reversal Detection
- Peak formation after extended trend: potential exhaustion
- Buyer/seller line convergence: decreasing trend strength
- Distance falling below convergence threshold: potential trend change
- Background highlighting: visual cue for significant peaks
3. Momentum Analysis
- Increasing distance: accelerating trend
- Decreasing distance: decelerating trend
- Distance above divergence threshold: strong momentum
- Distance below convergence threshold: weak momentum
4. Market Balance Assessment
- Buyer line trend: indicates strength/weakness of bulls
- Seller line trend: indicates strength/weakness of bears
- Master line position relative to zero: overall market bias
- Distance between lines: consensus or disagreement in the market
Optimization Guide
1. Period Settings
- Longer period: smoother signals, less noise, fewer false signals
- Shorter period: more responsive, captures minor moves, potentially more noise
- Default (20): balanced approach for most timeframes
2. Box Size Parameter
- Smaller box size: more sensitive to price changes
- Larger box size: less sensitive, focuses on major moves
- Default (0.001): calibrated for typical price ranges
3. Distance Thresholds
- Convergence threshold: determines when lines are considered "near"
- Divergence threshold: determines when lines are considered "far"
- Adjusting these based on volatility of the instrument
4. Color Customization
- Positive Green line: representing buyer strength
- Negative Red line: representing seller strength
- Diverging fill: when the gap between buyers and sellers is increasing
- Converging fill: when buyers and sellers are moving closer together
Best Practices
1. Signal Confirmation
- Wait for buyer/seller crossovers to confirm
- Look for background highlighting at peaks
- Check distance trends for momentum confirmation
- Use the analysis table for additional context
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Custom resolution: allows comparison across timeframes
- Consider using multiple timeframes for confirmation
3. Market Context
- Strong buyer line rising + weak seller line: very bullish
- Strong seller line falling + weak buyer line: very bearish
- Both lines rising: volatile uptrend
- Both lines falling: volatile downtrend
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with oscillators for overbought/oversold conditions
- Combine with volume analysis for validation
- Consider support/resistance levels when peaks form
Advanced Trading Strategies
1. Buyer/Seller Balance Strategy
- Enter long when buyer line crosses above seller line
- Enter short when seller line crosses above buyer line
- Use distance trend for filtering quality of signals
- Exit when distance falls below convergence threshold
2. Peak Trading Strategy
- Identify significant peaks with background highlighting
- Look for consecutive lower peaks in buyer line for shorting opportunities
- Look for consecutive higher troughs in seller line for buying opportunities
- Use master line crosses through zero as confirmation
3. Convergence/Divergence Strategy
- Enter positions when distance exceeds divergence threshold (strong trend)
- Take partial profits when distance starts decreasing
- Exit fully when distance falls below convergence threshold
- Re-enter when a new trend forms with increasing distance
4. Line Trend Combination Strategy
- Strongest bullish signal: Rising buyer line + falling seller line + increasing distance
- Strongest bearish signal: Falling buyer line + rising seller line + increasing distance
- Potential reversal signal: Decreasing distance + peak formation + line trend change
- Continuation signal: Consistent buyer/seller dominance + increasing distance after consolidation
Practical Analysis Examples
Bullish Market Scenario
- Buyer line trends upward as buying pressure increases
- Seller line remains flat or trends downward as selling pressure decreases
- Distance between lines expands, showing divergence (strong trend)
- Positive background highlights appear at new peaks in buyer dominance
- Master line moves further above zero
Bearish Market Scenario
- Seller line trends downward as selling pressure increases
- Buyer line remains flat or trends downward as buying pressure decreases
- Distance between lines expands, showing divergence (strong trend)
- Negative background highlights appear at new troughs in seller dominance
- Master line moves further below zero
Consolidation Scenario
- Buyer and seller lines move sideways
- Distance between lines narrows, showing convergence
- Few or no new peak highlights appear
- Master line oscillates close to the zero line
- Analysis table shows "Stable" trends for both buyer and seller lines
Understanding Market Dynamics Through Power Balance
At its core, this indicator provides a unique lens to visualize the ongoing battle between bulls and bears:
1. **Relative Strength**: When the buyer line rises faster than the seller line, bulls are gaining strength relative to bears - a bullish signal. When the seller line falls faster than the buyer line, bears are dominating - a bearish signal.
2. **Market Consensus**: Convergence between lines suggests market participants are reaching consensus about price direction. Divergence suggests growing disagreement and potential for stronger moves.
3. **Exhaustion Signals**: Major peaks in either line that are highlighted by background colors suggest moments where one side (buyers or sellers) has reached maximum strength - often precursors to reversals.
4. **Trend Confirmation**: The status indicators (Near, Far, Normal) provide context about the current market phase, helping confirm whether a trend is establishing, continuing strongly, or potentially fading.
Remember:
- Combine signals from buyer/seller lines, distance measurements, and peak formations
- Use appropriate timeframe settings for your trading style
- Monitor the analysis table for additional context
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Cerca negli script per "track"
Value Area - Day Trading SuiteValue Area Day Trading Suite
A professional-grade indicator designed specifically for day traders who utilize Volume Profile and Auction Market Theory. This suite provides tracking of previous day's value areas, helping traders identify how current price interacts with these established institutional levels.
It tracks how much time has spent within the value area without Level to Help Measure Acceptance
Key Features
- Previous Day's Value Area tracking (VAH, POC, VAL)
- Precise time-in-value-area measurement
- Cash session integration with major market timezones
- Value Area acceptance alerts
Trading Applications
Perfect for day traders who:
- Trade using previous day's Volume Profile levels
- Focus on institutional price acceptance/rejection
- Trade market structure using confirmed value areas
- Want to automate their value area analysis
- Trade during specific market sessions
Value Area Analysis
The indicator tracks how long price stays within the previous day's value area, helping traders:
- Identify Potential Support / Resistance Levels
- Spot acceptance of established levels
- Find high-probability trading opportunities
- Time their entries and exits more effectively
Professional Tools
- Customizable cash session times for different markets
- Multiple timezone support
- Flexible dashboard positioning
- Clean, professional appearance with adjustable colors
- Alert system for value area acceptance
Built for day traders who utilize value areas
TSI Long/Short for BTC 2HThe TSI Long/Short for BTC 2H strategy is an advanced trend-following system designed specifically for trading Bitcoin (BTC) on a 2-hour timeframe. It leverages the True Strength Index (TSI) to identify momentum shifts and executes both long and short trades in response to dynamic market conditions.
Unlike traditional moving average-based strategies, this script uses a double-smoothed momentum calculation, enhancing signal accuracy and reducing noise. It incorporates automated position sizing, customizable leverage, and real-time performance tracking, ensuring a structured and adaptable trading approach.
🔹 What Makes This Strategy Unique?
Unlike simple crossover strategies or generic trend-following approaches, this system utilizes a customized True Strength Index (TSI) methodology that dynamically adjusts to market conditions.
🔸 True Strength Index (TSI) Filtering – The script refines the TSI by applying double exponential smoothing, filtering out weak signals and capturing high-confidence momentum shifts.
🔸 Adaptive Entry & Exit Logic – Instead of fixed thresholds, it compares the TSI value against a dynamically determined high/low range from the past 100 bars to confirm trade signals.
🔸 Leverage & Risk Optimization – Position sizing is dynamically adjusted based on account equity and leverage settings, ensuring controlled risk exposure.
🔸 Performance Monitoring System – A built-in performance tracking table allows traders to evaluate monthly and yearly results directly on the chart.
📊 Core Strategy Components
1️⃣ Momentum-Based Trade Execution
The strategy generates long and short trade signals based on the following conditions:
✅ Long Entry Condition – A buy signal is triggered when the TSI crosses above its 100-bar highest value (previously set), confirming bullish momentum.
✅ Short Entry Condition – A sell signal is generated when the TSI crosses below its 100-bar lowest value (previously set), indicating bearish pressure.
Each trade execution is fully automated, reducing emotional decision-making and improving trading discipline.
2️⃣ Position Sizing & Leverage Control
Risk management is a key focus of this strategy:
🔹 Dynamic Position Sizing – The script calculates position size based on:
Account Equity – Ensuring trade sizes adjust dynamically with capital fluctuations.
Leverage Multiplier – Allows traders to customize risk exposure via an adjustable leverage setting.
🔹 No Fixed Stop-Loss – The strategy relies on reversals to exit trades, meaning each position is closed when the opposite signal appears.
This design ensures maximum capital efficiency while adapting to market conditions in real time.
3️⃣ Performance Visualization & Tracking
Understanding historical performance is crucial for refining strategies. The script includes:
📌 Real-Time Trade Markers – Buy and sell signals are visually displayed on the chart for easy reference.
📌 Performance Metrics Table – Tracks monthly and yearly returns in percentage form, helping traders assess profitability over time.
📌 Trade History Visualization – Completed trades are displayed with color-coded boxes (green for long trades, red for short trades), visually representing profit/loss dynamics.
📢 Why Use This Strategy?
✔ Advanced Momentum Detection – Uses a double-smoothed TSI for more accurate trend signals.
✔ Fully Automated Trading – Removes emotional bias and enforces discipline.
✔ Customizable Risk Management – Adjust leverage and position sizing to suit your risk profile.
✔ Comprehensive Performance Tracking – Integrated reporting system provides clear insights into past trades.
This strategy is ideal for Bitcoin traders looking for a structured, high-probability system that adapts to both bullish and bearish trends on the 2-hour timeframe.
📌 How to Use: Simply add the script to your 2H BTC chart, configure your leverage settings, and let the system handle trade execution and tracking! 🚀
SASDv2rSensitive Altcoin Season Detector V2
This Pine Script™ code, titled "SASDv2r" (Sensitive Altcoin Season Detector version 2 revised), is designed for cryptocurrency trading analysis on the TradingView platform and tailored for those interested in tracking when altcoins might be outperforming Bitcoin, potentially indicating a market shift towards altcoins.
Feel free to use and modify. If you made it better, please let me know. Intention was to help the community with a tool for retail traders have no access to advanced, MV indicators. Solution uses classic TA only.
Use it witl TOTAL3/BTC indicator.
Please check: it gave signal just before last alt season % rose more than 250%.
Market Cap Data Fetching: The script fetches market capitalization data for Bitcoin, Ethereum, and all other altcoins (excluding Bitcoin and Ethereum) using request.security function.
Altcoin to Bitcoin Ratio: It calculates the ratio of total market cap of altcoins to Bitcoin's market cap (altToBtcRatio), which is central to identifying an "altcoin season."
Moving Averages: Several moving averages are computed for different time frames (50-day SMA, 200-day SMA, 20-day SMA, and 10-day EMA) to analyze trends in the altcoin to Bitcoin ratio.
Momentum Indicators: The script uses RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) to gauge momentum and potential reversal points in the market.
Custom Indicators: It includes Volume Weighted Moving Average (VWMA) and a custom momentum indicator (altMomentum and altMomentumAvg) to provide additional insights into market movements.
Volatility Measurement: Bollinger Bands are calculated to assess volatility in the altcoin to Bitcoin ratio, which helps identify periods of high or low market activity.
Visual Analysis: Various plots are added to the chart for visual interpretation, including the altcoin to Bitcoin ratio, different moving averages, and Bollinger Bands.
Alt Season Detection: The script defines conditions for detecting when an "altcoin season" might be starting, based on crossovers of moving averages, RSI levels, MACD signals, and other custom criteria.
Performance Tracking: After signaling an alt season, the script evaluates the performance over the next 30 days by checking if there's been an increase in the altcoin to Bitcoin ratio, adding labels for positive or negative trends.(this one is in progress). Logic still gives false signals and aim is to identify failed signals.
Visual Signals: Labels are placed on the chart to visually indicate the beginning of a potential alt season or the performance outcome after a signal, aiding traders in making informed decisions.
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights “whale” activities—periods of exceptionally large volume—along with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation.
This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities:
SuperTrend-Like Line (Trend Bias):
At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts.
Keltner Channels (Volatility and Range):
Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts.
Dynamic Order Blocks (Approximations of Supply/Demand Zones):
By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited.
Volume Profile Proxy and Whale Detection:
The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction.
"Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participation—often from large traders or institutions—may influence market direction or create zones of interest.
Approximate Bid/Ask Volume and Dollar Volume Tracking:
The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time.
Labeling and Visual Aids:
Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment.
Strengths:
Multifaceted Analysis:
By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools.
Adaptable to Market Conditions:
The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets.
Volume-Based Insights:
Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone.
Convenient Visual Cues and Labels:
The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed.
Weaknesses:
Heuristic and Approximate Nature:
Many of the indicator’s features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals.
Lagging Components:
Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals.
No Guaranteed Predictive Power:
As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur.
Complexity and Overreliance Risk:
With multiple signals combined, there’s a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades.
Conclusion:
This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success.
Risks Associated with Trading:
No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice.
Risks and Important Considerations:
• Not a Standalone Tool:
• This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions.
• Relying solely on this indicator may lead to incomplete assessments of market conditions.
• Market Volatility and False Signals:
• Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements.
• The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity.
• Risk Management:
• Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions.
• Understand that no indicator guarantees success, and losses are a natural part of trading.
• Emotional Discipline:
• Avoid making impulsive decisions based on indicator signals alone.
• Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan.
• Continuous Learning and Adaptation:
• Stay informed about market news, economic indicators, and global events that may impact trading conditions.
• Continuously evaluate and adjust your trading strategies as market dynamics evolve.
• Consultation with Professionals:
• Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy.
• Professional guidance can provide personalized insights based on your financial goals and risk tolerance.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
10% Drop from Current High - Akshay10% Drop from Current High TradingView Indicator
Description:
The "10% Drop from Current High" indicator dynamically tracks the highest price within a user-defined period and highlights when the current price drops by a specified percentage. This tool is invaluable for traders looking to monitor significant pullbacks or corrections from recent highs.
Key Features:
Customizable Drop Percentage:
Allows users to set the percentage drop to track, with a default value of 10%.
Configurable via an input field to suit different trading strategies and market conditions.
Lookback Period:
Tracks the highest price over a user-defined lookback period (default is 20 bars).
This ensures the indicator adapts to short-term or long-term market conditions based on user preferences.
Dynamic Levels:
Current High Level: Plots the highest price within the lookback period in blue.
Drop Level: Plots the calculated drop level (e.g., 10% below the current high) in red.
Visual Alerts:
Background Highlighting:
A translucent red background appears when the current price is at or below the drop level, signaling a significant pullback.
Shape Marker:
A downward label is plotted below the bar when the price touches or falls below the drop level, providing cSet Alerts:lear visual feedback.
Overlay on Price Chart:
The indicator is plotted directly on the price chart (overlay=true), ensuring seamless integration with other technical analysis tools.
Use Case:
This indicator is designed for traders who want to:
Monitor Pullbacks:
Identify when the price of an asset experiences a defined percentage drop from its recent high, signaling potential reversal zones or buying opportunities.
Use visual cues to react quickly to price movements.
Analyze Trends:
Combine with other indicators to assess the strength of trends and corrections.
Customization Options:
Drop Percentage: Adjust the percentage drop to track based on asset volatility and trading strategy.
Lookback Period: Modify the lookback period to focus on short-term (e.g., 5 bars) or long-term (e.g., 50 bars) price highs.
This indicator provides a flexible and intuitive way to track price pullbacks, helping traders make informed decisions and stay ahead in dynamic market conditions.
HTF Multi-Asset Sync Display ProHTF Multi-Asset Sync Display Pro
A professional-grade indicator designed for advanced multi-timeframe and multi-symbol analysis. This powerful tool enables synchronized visualization of up to three different assets across various timeframes, making it perfect for correlation analysis, market structure comparison, and smart money tracking.
Overview
HTF Multi-Asset Sync Display Pro is an advanced visualization tool that allows traders to monitor up to three different symbols simultaneously on a single chart. Whether you're analyzing correlations, divergences, or inter-market relationships, this indicator provides a comprehensive solution for complex market analysis.
Usage Examples
1. Multi-Timeframe Analysis of Single Symbol
Perfect for traders focusing on market structure and order flow:
- Configure all three sets to display different higher timeframes of the chart's main symbol
- Example: On 5M chart, display 15M, 1H, and 4H timeframes
Benefits:
- Clear visualization of higher timeframe market structure
- Real-time order flow analysis across multiple timeframes
- Better context for ICT PD Arrays on higher timeframes
- Enhanced understanding of support/resistance levels
- Improved timing for entries and exits
2. Correlated Assets Analysis
Ideal for traders working with related instruments:
- Display higher timeframes of correlated assets (e.g., ES, NQ, and YM)
Benefits:
- Easy identification of divergences between correlated symbols
- Enhanced probability assessment for CRT setups
- Improved Turtle Soup trading opportunities
- Clear visualization of relative strength/weakness
- Better timing for market reversals
3. Extended Analysis with Multiple Indicators
Advanced setup for comprehensive market analysis:
- Use two instances of the indicator to display up to 6 different HTF sets
- Synchronization capabilities ensure precise alignment between indicators
Benefits:
- Extended market coverage with up to 6 HTF sets
- Perfect synchronization between indicator instances
- Comprehensive view of market structure
- Enhanced correlation analysis capabilities
- Maximum flexibility in timeframe selection
Note: The ability to combine multiple instances of the indicator, each showing three HTF sets, provides traders with unprecedented analytical capabilities while maintaining perfect synchronization across all displayed timeframes.
Key Features
Multi-Symbol Display
- Display up to three different symbols simultaneously
- Up to 12 candles for each symbol
- Customizable colors and styles for each symbol
- Adjustable vertical offsets for optimal visual arrangement
- Flexible scale factor for precise price movement comparison
Comprehensive Timeframe Support
- Intraday: 1, 2, 3, 4, 5, 6, 10, 15, 30, 45, 60, 90, 120, 180, 240 minutes
- Daily: D, 2D
- Weekly: W, 2W
- Monthly: M
- Compatibility between all minutes timeframes for synchronization
Dual Synchronization Modes
Auto Mode
- Automatic alignment based on relative price levels
- Perfect for quick visual comparison
Manual Mode
- Precise synchronization based on candle closing times
- Ideal for detailed technical analysis
Session Markers
- Two configurable session lines (e.g., Regular Open and True Day Open)
- Adjustable line length, style, and color
- Flexible timezone support for global markets
Visual Customization
- Fully customizable candle appearance including wicks
- Optional vertical lines for better time orientation
- Scalability for optimal price movement comparison
- Professional labeling system
Trading Applications
Correlation Analysis
- Monitor relationships between currency pairs
- Analyze crypto/stock correlations
- Identify divergences between related instruments
- Track inter-market relationships
Smart Money Analysis
- Identify accumulation zones
- Detect manipulation phases
- Track distribution phases
- Analyze institutional levels
- Monitor smart money footprints
ICT Price Delivery (PD) Arrays Analysis
- Enhanced visualization for manual PD Arrays identification
- Clear display of higher timeframe price action
- Improved visibility of potential PD Array structures
- Better context for manual analysis
Visual aid for ICT concepts identification
- Helps traders manually spot potential Breaker Blocks and Order Blocks
- Clearer view for identifying Inefficient Price Points
- Better context for Fair Value Gaps analysis
- Enhanced visibility for Mitigation Points and Liquidity Voids detection
Note: This indicator provides enhanced visualization tools to support manual ICT analysis. It does not automatically detect or mark PD Arrays or other ICT concepts - it serves as a visual aid for traders who understand and manually apply ICT concepts in their analysis.
Market Structure Analysis
- Compare price structure across timeframes
- Identify key levels on multiple timeframes
- Analyze session breakouts and swings
- Track market structure shifts
Candle Range Theory (CRT)
- Compare candle ranges across timeframes
- Identify potential breakout/breakdown levels
- Analyze relationships between HTF and LTF candle ranges
- Recognize reversal points at HTF range extremes
Turtle Soup Strategy Enhancement
- Identify false breakouts
- Validate breakouts by comparing LTF momentum with HTF structure
- Precise entry and exit level determination
Trading Efficiency
Time Management
- All necessary information on one chart
- Eliminate timeframe switching
- Quick market condition analysis
- Enhanced trading efficiency
Decision Making
- Instant market structure overview
- Quick key level identification
- Efficient trade setup confirmation
- Better entry and exit timing
Note
For optimal results, we recommend starting by setting the Base Price Level to the approximate price level of the main symbol, then adjusting the vertical offsets of other symbols according to your preferences.
Price BoundariesThe "Price Boundaries" indicator provides a dynamic framework to monitor an asset's price extremes over time. By identifying and tracking the highest and lowest levels, it equips traders with essential insights into market trends and potential trading ranges.
Main Features:
Adaptive Price Tracking:
Continuously updates the maximum and minimum price points as the market fluctuates.
Displays these levels visually on the chart using distinct color-coded lines.
Proportional Range Analysis:
Calculates the percentage difference between the current price and the identified high/low boundaries, offering a clear measure of price positioning within the range.
Shaded Visualization:
Adds visually appealing shaded zones to highlight the gaps between the price and its boundaries, enhancing clarity for traders.
Real-Time Functionality:
Processes price data dynamically, ensuring that the displayed boundaries and calculations reflect the latest market movements.
This tool is ideal for traders who want to pinpoint key market levels and assess the likelihood of price reversals or breakouts. The clear visualization of price dynamics allows for informed decision-making and better risk management.
Economic Seasons [Daveatt]Ever wondered what season your economy is in?
Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics:
📊 What We're Tracking:
1. Interest Rates (USIRYY) - The yearly change in interest rates
2. Inflation Rate (USINTR) - The rate at which prices are rising
The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings.
🔄 The Four Economic Seasons & Investment Strategy:
1. 🌸 Goldilocks (↑Growth, ↓Inflation)
"Not too hot, not too cold" - The economy is growing steadily without overheating.
BEST TIME TO: Buy growth stocks, technology, consumer discretionary
WHY: Companies can grow earnings in this ideal environment of low rates and stable prices
2. 🌞 Reflation (↑Growth, ↑Inflation)
"Party time... but watch your wallet!" - The economy is heating up.
BEST TIME TO: Buy commodities, banking stocks, real estate
WHY: These sectors thrive when inflation rises alongside growth
3. 🌡️ Inflation (↓Growth, ↑Inflation)
"Ouch, my purchasing power!" - Growth slows while prices keep rising.
BEST TIME TO: Rotate into value stocks, consumer staples, healthcare
WHY: These defensive sectors maintain pricing power during inflationary periods
4. ❄️ Deflation (↓Growth, ↓Inflation)
"Winter is here" - Both growth and inflation are falling.
BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats
WHY: Capital preservation becomes key; high-quality fixed income provides safety
🎯 Strategic Trading Points:
- BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw)
- HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation
- START TAKING PROFITS: During late Reflation/early Inflation
- DEFENSIVE POSITIONING: Throughout Inflation and Deflation
⚠️ Warning Signs to Watch:
- Goldilocks → Reflation: Time to reduce growth stock exposure
- Reflation → Inflation: Begin rotating into defensive sectors
- Inflation → Deflation: Quality becomes crucial
- Deflation → Goldilocks: Start building new positions
The blue dot shows you where we are right now in this cycle.
The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature!
💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts.
Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯
Happy Trading! 📈
Majors Rotation System [BackQuant]Majors Rotation System
Introducing BackQuant's Majors Rotation System, a comprehensive portfolio management tool for rotating among the major cryptocurrencies—BTC, ETH, and SOL. This system is designed to optimize returns by selecting the strongest-performing asset while avoiding periods of market weakness. It employs a long and cash-only strategy, meaning the system will only hold positions when market conditions are favorable, and will stay in cash during downtrends. Additionally, it incorporates a powerful regime filter to ensure the system is inactive during market-wide downturns.
This script is ideal for crypto traders looking to improve performance by dynamically allocating capital based on real-time performance metrics, rather than relying on a simple buy-and-hold strategy.
Key Features
Dynamic Asset Rotation: The system constantly evaluates the performance of BTC, ETH, and SOL, selecting the strongest asset based on a ratio matrix. This matrix compares the relative strength of each asset to one another, ensuring that your portfolio is always positioned in the cryptocurrency with the most momentum.
Long and Cash-Only Portfolio: This system only takes long positions or remains in cash. By avoiding short positions, it reduces exposure during market downturns. The built-in regime filter ensures the system only operates when the broader market (represented by the TOTAL crypto market cap) is trending up, offering additional protection against unfavorable market conditions.
Equity Tracking: The script provides a real-time visualization of portfolio equity compared to a buy-and-hold strategy. It displays the equity curve of the portfolio while allowing you to compare it against the hypothetical equity of holding BTC, ETH, or SOL individually (Buy and Hold).
Performance Metrics: In addition to equity visualization, the system provides detailed performance metrics, including:
Sharpe Ratio: Measures risk-adjusted returns.
Sortino Ratio: Focuses on downside risk.
Omega Ratio: Evaluates returns relative to risk.
Maximum Drawdown: The maximum observed loss from a peak to a trough.
These metrics allow traders to assess the efficiency of the rotation system compared to simply holding assets.
Visual Cues:
Painted Candles: The script provides a visual trend indicator by painting candles according to the trend of the selected chart, helping traders quickly identify momentum shifts.
Support for Multiple Assets: The system allows users to toggle between BTC, ETH, and SOL or view the entire portfolio at once. It displays key metrics for each asset and offers an intuitive way to understand which asset is currently outperforming.
Regime Filter: A key aspect of this system is the regime filter, which only allows trading in favorable market conditions. It uses a Universal TPI (Trend Performance Indicator) to evaluate whether the overall crypto market (TOTAL Market Cap) and key assets (BTC, ETH) are in a bullish trend. If the market is in a downtrend, the system will exit positions and move into cash.
Customizable Parameters: Users can customize several important aspects of the system:
Starting Date: Choose when the backtest or live trading begins.
Starting Capital: Set the initial capital for backtesting purposes.
Visualization Options: Toggle between base data, ratioed data, and equity plots. Users can also customize the line width and color settings for better chart clarity.
Adaptive Momentum Scoring: The system uses advanced indicators, which are not disclosed (proprietary) to assess the trend and momentum of the selected cryptocurrencies dynamically.
How the Rotation Works
The system uses a universal algorithm to calculate trend and momentum signals for BTC, ETH, and SOL. These signals are processed through a ratio matrix, which compares the performance of each asset against the others. Based on this comparison, the system identifies the strongest asset and allocates capital accordingly.
BTC, ETH, and SOL Scores: These scores represent the relative strength of each asset based on the universal algorithm. The system dynamically selects the asset with the highest score, rotating out of underperforming assets and into the top performer.
Allocation Decisions: The system determines whether to allocate capital to BTC, ETH, SOL, or Cash based on the scores. If none of the assets show strength, the system defaults to cash to protect the portfolio from market downturns.
Equity and Buy-and-Hold Comparisons
This script provides a side-by-side comparison of the portfolio’s equity curve and a buy-and-hold strategy:
Portfolio Equity: Shows the performance of the system as it rotates between BTC, ETH, and SOL.
Buy-and-Hold Equity: Displays how the portfolio would have performed if you simply held BTC, ETH, or SOL without trading.
These comparisons allow traders to see how the dynamic rotation system performs relative to a passive holding strategy.
Alerts and Visual Feedback
The system provides real-time alerts when asset allocations change, notifying traders when the system moves capital between assets or into cash. Additionally, the system offers detailed visual feedback, including:
Equity Curve Plots: Displays the equity curve of the portfolio and the individual assets.
Score Labels: Shows the strength scores for BTC, ETH, and SOL directly on the chart for easy monitoring.
Final Thoughts
The Majors Rotation System offers a powerful way to navigate the highly volatile crypto market by rotating between the strongest performing assets and staying in cash when conditions are unfavorable. With its advanced metrics, equity tracking, and built-in regime filter, this system is designed to optimize returns while minimizing risk.
Multiple ATR Lines with Current Price PercentageThis indicator plots multiple lines based on the Average True Range (ATR) on the chart, helping traders identify potential support and resistance levels. Specifically, it draws three lines above the price and three lines below the price at different multiples of the ATR. Additionally, it plots a dynamic line at the current price level, which shows how much percentage of the ATR the current price has traveled from a specific point.
How it works:
ATR-Based Lines: The indicator calculates three upper and three lower levels based on the ATR of the selected period. These levels represent 1x, 2x, and 3x ATR above and below the current price.
Current Price Line: A dotted line follows the current price, displaying the percentage of the ATR that the price has moved.
Labels: Each line is labeled with its respective ATR multiple (1x ATR, 2x ATR, 3x ATR), and the current price line shows the percentage of the ATR traveled.
Use Cases:
Identifying Market Volatility: Traders can use this indicator to see how far the price has moved relative to its average volatility.
Support and Resistance Levels: The ATR lines can be treated as potential support and resistance zones, providing insight into price targets or stop-loss placement.
Dynamic Tracking: The percentage of ATR traveled helps traders understand the market momentum relative to its historical volatility.
Settings:
ATR Length: The user can adjust the length of the ATR calculation period.
ATR Multiplier: A multiplier to adjust the distance of the lines relative to the ATR.
Advantages:
Clear visualization of market volatility through ATR-based levels.
Real-time tracking of the price’s movement relative to ATR, giving traders a better understanding of price action.
Customizable settings for different trading styles.
TSMG VOLUME BY MACKThe TSMG Volume Indicator is a powerful tool used in Volume Spread Analysis (VSA) to assess market dynamics by examining the relationship between price movements and trading volume. It helps traders identify potential actions of "smart money"—institutional or informed traders—by analyzing volume spikes, price spreads, and closing prices.
Key Features:
Volume Analysis: The indicator highlights significant volume changes, allowing traders to discern whether a price move is supported by strong buying or selling activity. High volume accompanying a price increase often indicates accumulation by smart money, while high volume with a price decrease suggests distribution.
Price Spread Interpretation: The TSMG Volume Indicator combines price spread analysis with volume data. It helps to identify bullish or bearish trends by analyzing how price changes occur in relation to volume. For instance, a narrow spread with high volume may signal a potential reversal or a continuation pattern.
Smart Money Tracking: By tracking volume patterns alongside price actions, the indicator helps traders spot potential smart money moves. For example, if a stock experiences a sudden increase in volume without a corresponding price rise, it may indicate that institutional investors are accumulating shares quietly.
Alert System: Many implementations of the TSMG Volume Indicator feature alerts for significant volume anomalies, enabling traders to react quickly to potential trading opportunities.
Multi-Timeframe Analysis: The indicator can be applied across various timeframes, giving traders insights into both short-term and long-term market dynamics.
Practical Application:
Traders can use the TSMG Volume Indicator to enhance their trading strategies by confirming signals from other technical indicators. For instance, if a bullish candlestick pattern appears alongside high volume, it strengthens the case for a potential upward movement. Conversely, a bearish pattern with increasing volume might suggest caution or a possible downtrend.
In summary, the TSMG Volume Indicator is a valuable asset for traders looking to harness Volume Spread Analysis, providing insights into the actions of smart money and helping to inform more effective trading decisions.
Interest Rate Trading (Manually Added Rate Decisions) [TANHEF]Interest Rate Trading: How Interest Rates Can Guide Your Next Move.
How were interest rate decisions added?
All interest rate decision dates were manually retrieved from the 'Record of Policy Actions' and 'Minutes of Actions' on the Federal Reserve's website due to inconsistent dates from other sources. These were manually added as Pine Script currently only identifies rate changes, not pauses.
█ Simple Explanation:
This script is designed for analyzing and backtesting trading strategies based on U.S. interest rate decisions which occur during Federal Open Market Committee (FOMC) meetings, to make trading decisions. No trading strategy is perfect, and it's important to understand that expectations won't always play out. The script leverages historical interest rate changes, including increases, decreases, and pauses, across multiple economic time periods from 1971 to the present. The tool integrates two key data sources for interest rates—USINTR and FEDFUNDS—to support decision-making around rate-based trades. The focus is on identifying opportunities and tracking trades driven by interest rate movements.
█ Interest Rate Decision Sources:
As noted above, each decision date has been manually added from the 'Record of Policy Actions' and 'Minutes of Actions' documents on the Federal Reserve's website. This includes +50 years of more than 600 rate decisions.
█ Interest Rate Data Sources:
USINTR: Reflects broader U.S. interest rate trends, including Treasury yields and various benchmarks. This is the preferred option as it corresponds well to the rate decision dates.
FEDFUNDS: Tracks the Federal Funds Rate, which is a more specific rate targeted by the Federal Reserve. This does not change on the exact same days as the rate decisions that occur at FOMC meetings.
█ Trade Criteria:
A variety of trading conditions are predefined to suit different trading strategies. These conditions include:
Increase/Decrease: Standard rate increases or decreases.
Double/Triple Increase/Decrease: A series of consecutive changes.
Aggressive Increase/Decrease: Rate changes that exceed recent movements.
Pause: Identification of no changes (pauses) between rate decisions, including double or triple pauses.
Complex Patterns: Combinations of pauses, increases, or decreases, such as "Pause after Increase" or "Pause or Increase."
█ Trade Execution and Exit:
The script allows automated trade execution based on selected criteria:
Auto-Entry: Option to enter trades automatically at the first valid period.
Max Trade Duration: Optional exit of trades after a specified number of bars (candles).
Pause Days: Minimum duration (in days) to validate rate pauses as entry conditions. This is especially useful for earlier periods (prior to the 2000s), where rate decisions often seemed random compared to the consistency we see today.
█ Visualization:
Several visual elements enhance the backtesting experience:
Time Period Highlighting: Economic time periods are visually segmented on the chart, each with a unique color. These periods include historical phases such as "Stagflation (1971-1982)" and "Post-Pandemic Recovery (2021-Present)".
Trade and Holding Results: Displays the profit and loss of trades and holding results directly on the chart.
Interest Rate Plot: Plots the interest rate movements on the chart, allowing for real-time tracking of rate changes.
Trade Status: Highlights active long or short positions on the chart.
█ Statistics and Criteria Display:
Stats Table: Summarizes trade results, including wins, losses, and draw percentages for both long and short trades.
Criteria Table: Lists the selected entry and exit criteria for both long and short positions.
█ Economic Time Periods:
The script organizes interest rate decisions into well-defined economic periods, allowing traders to backtest strategies specific to historical contexts like:
(1971-1982) Stagflation
(1983-1990) Reaganomics and Deregulation
(1991-1994) Early 1990s (Recession and Recovery)
(1995-2001) Dot-Com Bubble
(2001-2006) Housing Boom
(2007-2009) Global Financial Crisis
(2009-2015) Great Recession Recovery
(2015-2019) Normalization Period
(2019-2021) COVID-19 Pandemic
(2021-Present) Post-Pandemic Recovery
█ User-Configurable Inputs:
Rate Source Selection: Choose between USINTR or FEDFUNDS as the primary interest rate source.
Trade Criteria Customization: Users can select the criteria for long and short trades, specifying when to enter or exit based on changes in the interest rate.
Time Period: Select the time period that you want to isolate testing a strategy with.
Auto-Entry and Pause Settings: Options to automatically enter trades and specify the number of days to confirm a rate pause.
Max Trade Duration: Limits how long trades can remain open, defined by the number of bars.
█ Trade Logic:
The script manages entries and exits for both long and short trades. It calculates the profit or loss percentage based on the entry and exit prices. The script tracks ongoing trades, dynamically updating the profit or loss as price changes.
█ Examples:
One of the most popular opinions is that when rate starts begin you should sell, then buy back in when rate cuts stop dropping. However, this can be easily proven to be a difficult task. Predicting the end of a rate cut is very difficult to do with the the exception that assumes rates will not fall below 0.25%.
2001-2009
Trade Result: +29.85%
Holding Result: -27.74%
1971-2024
Trade Result: +533%
Holding Result: +5901%
█ Backtest and Real-Time Use:
This backtester is useful for historical analysis and real-time trading. By setting up various entry and exit rules tied to interest rate movements, traders can test and refine strategies based on real historical data and rate decision trends.
This powerful tool allows traders to customize strategies, backtest them through different economic periods, and get visual feedback on their trading performance, helping to make more informed decisions based on interest rate dynamics. The main goal of this indicator is to challenge the belief that future events must mirror the 2001 and 2007 rate cuts. If everyone expects something to happen, it usually doesn’t.
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades
Overview
The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities.
This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions.
Originality and Usefulness
The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals.
The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions.
How the Components Work Together
1. Cross-Validation of Signals
WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals.
RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals.
Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume.
Example Bullish scenario:
When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
Example Bearish scenario:
When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator.
2. Divergence Detection and Market Reversals
Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high.
Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy.
Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market.
A Regular Bullish Divergence Example:
A Hidden Bullish Divergence Example:
A Regular Bearish Divergence Example:
A Hidden Bearish Divergence Example:
3. Trend Strength and Sentiment Analysis
WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals.
Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse.
RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal.
Example:
During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Example:
During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent.
Conclusion
The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics.
WAVETREND
Display of WaveTrend:
Display of WaveTrend Setting:
WaveTrend Indicator Explanation
The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis.
WaveTrend Input Settings:
WT MA Source: Default: HLC3
What it is: The data source used for calculating the WaveTrend Moving Average.
What it does: Determines the input data to smooth price action and filter noise.
Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price.
Length (WT MA Length): Default: 3
What it is: The period used to calculate the Moving Average.
What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes.
Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements.
WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12
What it is: Lengths used to calculate the WaveTrend channel and its average.
What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period.
Example: Higher values reduce noise and help in identifying more reliable trends.
Channel: Style, Width, and Color:
What it is: Customization options for the WaveTrend channel's appearance.
What it does: Adjusts how the channel is displayed, including line style, width, and color.
Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart.
WT Buy & Sell Signals:
What it is: Settings to enable and customize buy and sell signals based on WaveTrend.
What it does: Allows for the display of buy/sell signals and customization of their shapes and colors.
When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement.
When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend.
Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively.
WAVETREND OVERBOUGTH AND OVERSOLD LEVELS
Display of WaveTrend with Overbought & Oversold Levels:
Display of WaveTrend Overbought & Oversold Levels Settings:
WaveTrend Overbought & Oversold Levels Explanation
WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60
What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals.
What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity.
Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone.
Show OB/OS Levels: Default: True
What it is: Toggle options to show or hide the overbought and oversold levels on your chart.
What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds.
Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions.
Line Style, Width, and Color for OB/OS Levels:
What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color.
What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions.
Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification.
Example of Use:
Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order.
WAVETREND DIVERGENCES
Display of WaveTrend Divergence:
Display of WaveTrend Divergence Setting:
WaveTrend Divergence Indicator Explanation
The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts.
WaveTrend Divergence Input Settings:
Potential Reversal Range: Default: 28
What it is: The number of bars to look back when detecting potential tops and bottoms.
What it does: Sets the range for identifying possible reversal points based on historical data.
Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability.
Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35
What it is: The minimum overbought and oversold levels required for detecting potential reversals.
What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator.
Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals.
Lookback Bar Left & Right: Default: Left = 10, Right = 1
What it is: The number of bars to the left and right used to confirm a top or bottom.
What it does: Helps determine the position of peaks and troughs in the price action.
Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past.
Lookback Range Min & Max: Default: Min = 5, Max = 60
What it is: The minimum and maximum range for the lookback period when identifying divergences.
What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back.
Example: A wider range increases the chances of detecting divergences across different market conditions.
R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53
What it is: The threshold levels for detecting regular divergences.
What it does: Adjusts the sensitivity of the regular divergence detection.
Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals.
H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20
What it is: The threshold levels for detecting hidden divergences.
What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious.
Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts.
Divergence Label Options:
What it is: Options to display and customize labels for regular and hidden divergences.
What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors.
Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart.
Text Size and Color:
What it is: Customization options for the size and color of divergence labels.
What it does: Adjusts the readability and visibility of divergence labels on the chart.
Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly.
FAST & SLOW MONEY FLOW INDEX
Display of Fast & Slow Money Flow:
Display of Fast & Slow Money Flow Setting:
Fast Money Flow Indicator Explanation
The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions.
Fast Money Flow Input Settings:
Fast Money Flow: Length: Default: 9
What it is: The period used for calculating the Fast Money Flow.
What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal.
Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period.
Fast MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator.
Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Fast Money Flow plot on the chart.
What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators.
Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity.
Fast MFI Style, Width, and Color:
What it is: Customization options for how the Fast Money Flow is displayed on the chart.
What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow.
Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure.
Slow Money Flow Indicator Explanation
The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends.
Slow Money Flow Input Settings:
Slow Money Flow: Length: Default: 12
What it is: The period used for calculating the Slow Money Flow.
What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend.
Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility.
Slow MFI Area Multiplier: Default: 5
What it is: A multiplier applied to the Slow Money Flow area calculation.
What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance.
Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action.
Y Position (Y Pos): Default: 0
What it is: The vertical position adjustment for the Slow Money Flow plot on the chart.
What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators.
Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart.
Slow MFI Style, Width, and Color:
What it is: Customization options for the visual display of the Slow Money Flow on the chart.
What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow.
Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market.
RSI
Display of RSI:
Display of RSI Setting:
RSI Indicator Explanation
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling.
RSI Input Settings:
RSI Source: Default: Close
What it is: The data source used for calculating the RSI.
What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions.
Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period.
MA Type (Moving Average Type): Default: SMA
What it is: The type of moving average applied to the RSI for smoothing purposes.
What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements.
Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA).
RSI Length: Default: 14
What it is: The period over which the RSI is calculated.
What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals.
Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability.
RSI Plot Style, Width, and Color:
What it is: Options to customize the appearance of the RSI line on the chart.
What it does: Allows you to adjust the visual representation of the RSI, including the line width and color.
Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis.
Display of RSI with RSI Moving Average:
RSI Moving Average Explanation
The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals.
RSI Moving Average Input Settings:
MA Length: Default: 14
What it is: The period over which the Moving Average is calculated on the RSI.
What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication.
Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions.
MA Plot Style, Width, and Color:
What it is: Customization options for how the RSI Moving Average is displayed on the chart.
What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line.
Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator.
STOCHASTIC RSI
Display of Stochastic RSI:
Display of Stochastic RSI Setting:
Stochastic RSI Indicator Explanation
The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts.
Stochastic RSI Input Settings:
Stochastic RSI Length: Default: 14
What it is: The period over which the Stochastic RSI is calculated.
What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise.
Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions.
Display of Stochastic RSI %K Line:
Stochastic RSI %K Line Explanation
The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points.
Stochastic RSI %K Input Settings:
%K Length: Default: 3
What it is: The period used for smoothing the %K line of the Stochastic RSI.
What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals.
Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts.
%K Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %K line.
What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences.
Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change.
%K Fill Color (Above):
What it is: The fill color that appears above the %K line on the chart.
What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum.
Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent.
Display of Stochastic RSI %D Line:
Stochastic RSI %D Line Explanation
The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line.
Stochastic RSI %D Input Settings:
%D Length: Default: 3
What it is: The period used for smoothing the %D line of the Stochastic RSI.
What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals.
Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line.
%D Plot Style, Width, and Color:
What it is: Customization options for the visual representation of the %D line.
What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences.
Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot.
%D Fill Color (Below):
What it is: The fill color that appears below the %D line on the chart.
What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum.
Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify.
RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS
Display of RSI & Stochastic with Overbought & Oversold Levels:
Display of RSI & Stochastic Overbought & Oversold Settings:
RSI & Stochastic Overbought & Oversold Levels Explanation
The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal.
RSI & Stochastic Overbought & Oversold Input Settings:
RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130
What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity.
Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside.
RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120
What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators.
What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions.
Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy.
RSI & Stochastic Overbought (OB) Band Customization:
OB Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first overbought band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart.
Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed.
OB Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second overbought band on the chart.
What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band.
Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level.
RSI & Stochastic Oversold (OS) Band Customization:
OS Level 1: Width, Style, and Color:
What it is: Customization options for the visual appearance of the first oversold band on the chart.
What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent.
Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities.
OS Level 2: Width, Style, and Color:
What it is: Customization options for the visual appearance of the second oversold band on the chart.
What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions.
Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities.
RSI DIVERGENCES
Display of RSI Divergence Labels:
Display of RSI Divergence Settings:
RSI Divergence Lookback Explanation
The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. )
RSI Divergence Lookback Input Settings:
Lookback Left: Default: 10
What it is: The number of bars to look back from the current bar to detect a potential divergence.
What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences.
Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns.
Lookback Right: Default: 1
What it is: The number of bars to look forward from the current bar to complete the divergence pattern.
What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation.
Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable.
Lookback Range Min: Default: 5
What it is: The minimum range of bars required to detect a valid divergence.
What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences.
Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns.
Lookback Range Max: Default: 60
What it is: The maximum range of bars within which a divergence can be detected.
What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns.
Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals.
RSI Divergence Explanation
RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences.
RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
STOCHASTIC DIVERGENCES
Display of Stochastic RSI Divergence Labels:
Display of Stochastic RSI Divergence Settings:
Stochastic RSI Divergence Explanation
Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI.
Stochastic RSI Divergence Input Settings:
R. Bullish Div Label: Default: True
What it is: An option to display labels for regular bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal.
Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing.
Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart.
R. Bearish Div Label: Default: True
What it is: An option to display labels for regular bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal.
Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing.
Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart.
H. Bullish Div Label: Default: False
What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend.
Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength.
Hidden Bullish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information.
H. Bearish Div Label: Default: False
What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI.
What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend.
Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure.
Hidden Bearish Label Color, Line Width, and Line Color:
What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI.
What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines.
Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart.
Divergence Text Size and Color: Default: S (Small)
What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences.
What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart.
Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart.
Alert System:
Custom Alerts for Divergences and Reversals:
What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI.
What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions.
Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected.
How to Use Alerts:
Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals.
By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy.
For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences.
How Components Work Together
Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making.
Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals.
Ideal For
Traders who require a reliable, multifaceted tool for detecting market trends and reversals.
Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets.
This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
vumanchu: VuManChu Cipher B Divergences.
MisterMoTa: RSI + Divergences + Alerts .
DevLucem: Plain Stochastic Divergence.
Note
This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
ATR Bands (Keltner Channel), Wick and SRSI Signals [MW]Introduction
This indicator uses a novel combination of ATR Bands, candle wicks crossing the ATR upper and lower bands, and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions.
How it’s unique
People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits.
What’s the benefit
The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation.
It takes into account 3 elements:
Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range.
A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active.
The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern.
How to Use
SIGNALS
Buy Signals - Green(ish):
B Signal - Potential pivot up from the lower band when using the preferred multiplier
B1 Signal - Potential pivot up from the lower band when using phi * multiplier
B2 Signal - Potential pivot up from the lower band when using 1/2 * multiplier
B3 Signal - Potential pivot up from baseline
Sell Signals - Red(ish):
S Signal - Potential pivot down from the upper band when using the preferred multiplier
S1 Signal - Potential pivot down from the upper band when using
S2 Signal - Potential pivot down from the upper band when using 1/2 * multiplier
S3 Signal - Potential pivot down from the baseline
DISCUSSION
During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend.
For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point.
In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point.
During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands.
When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside.
When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside.
Additional B1, B2, and S1, and S2 signals can be displayed that use the bands based on a multiplier that is half that of the primary one, and phi (0.618) times the primary multiplier as a way to quickly check for signals occurring along different, but related, bands.
Calculations
ATR Bands, or Keltner Channels, are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. ATR Bands consist of three lines plotted on a price chart:
Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price.
Upper Band: This is calculated by adding a certain number of ATRs to the middle band (SMA). The upper band adjusts itself with the increase in volatility.
Lower Band: This is calculated by subtracting the same number of ATRs from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility.
The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side.
Settings
CHANNEL SETTINGS
Baseline EMA Period (Default: 21): Period length of the moving average basis line.
ATR Period (Default: 21): The number of periods over which the Average True Range (ATR) is calculated.
Basis MA Type (Default: SMA): The moving average type for the basis line.
Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line.
ADDITIONAL CHANNELS
Half of Multiplier Offset (Default: True): Toggles the display of the ATR bands that are set a distance of half of the ATR multiplier.
Quarter of Multiplier Offset (Default: false): Toggles the display of the ATR bands that are set a distance of one quarter of the ATR multiplier.
Phi (Φ) Offset (Default: false): Toggles the display of the ATR bands that are set a distance of phi (Φ) times the ATR multiplier.
WICK SETTINGS FOR CANDLE FILTERS
Wick Ratio for Bands (Default: 0.4): The ratio of wick size to total candle size for use at upper and lower bands.
Wick Ratio for Baseline (Default: 0.4): The ratio of wick size to total candle size for use at baseline.
Use Candle Body (rather than full candle size) (Default: false): Determines whether wick calculations use the candle body or the entire candle size.
VISUAL PREFERENCES - SIGNALS
Show Signals (Default: true): Allows signal labels to be shown.
Show Signals from 1/2 Band Offset (Default: false): Toggle signals originating from 1/2 offset upper and lower bands.
Show Signals from Phi (Φ) Band Offset (Default: false): Toggle signals originating from phi (Φ) offset upper and lower bands.
Show Baseline Signals (Default: false): Toggle Baseline signals.
VISUAL PREFERENCES - BANDS
Show ATR (Keltner) Bands (Default: true): Use a background color inside the Bollinger Bands.
Fill Bands (Default: true): Use a background color inside the Bollinger Bands.
STOCHASTIC SETTINGS
Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20.
K (Default: 3): The smoothing level for the Stochastic RSI.
RSI Length (Default: 14): The period length for the RSI calculation.
Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed.
Other Usage Notes and Limitations
To understand future price movement, this indicator assumes that 3 things must be known:
Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks.
The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause.
The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions.
When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal.
ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers.
If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure.
When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal.
Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
Bollinger Band Wick and SRSI Signals [MW]Introduction
This indicator uses a novel combination of Bollinger Bands, candle wicks crossing the upper and lower Bollinger Bands and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions.
How it’s unique
People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits.
What’s the benefit
The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation.
It takes into account 3 elements:
Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range.
A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active.
The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern.
How to Use
SIGNALS
Buy Signals - Green(ish):
B Signal - Potential pivot up from the lower band when using the preferred multiplier
B1 Signal - Potential pivot up from baseline
Sell Signals - Red(ish):
S Signal - Potential pivot down from the upper band when using the preferred multiplier
S1 Signal - Potential pivot down from the baseline
DISCUSSION
During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend.
For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point.
In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point.
During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands.
When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside.
When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside.
Additional, B1 and S1 signals can be displayed that use the baseline as the pivot level.
Settings
SIGNALS
Show Bollinger Band Signals (Default: True): Allows signal labels to be shown.
Hide Baseline Signals (Default: False): Baseline signals are on by default. This will turn them off.
Show Wick Signals (Defau
lt: True): Displays signals when wicking occurs.
BOLLINGER BAND SETTINGS
Period length for Bollinger Band Basis (Default: 21): Length of the Bollinger Band (BB) moving average basis line.
Basis MA Type (Default: SMA): The moving average type for the BB Basis line.
Source (Default: “close”): The source of time series data.
Standard Deviation Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line.
WICK SETTINGS FOR BOLLINGER BANDS
Wick Ratio for Bands (Default: 0.3): The ratio of wick size to total candle size for use at upper and lower bands.
Wick Ratio for Baseline (Default: 0.3): The ratio of wick size to total candle size for use at baseline.
WICK SETTINGS FOR CANDLE SIGNALS
Upper Wick Threshold (Default: 50): The percent of upper wick compared to the full candle size or candle body size.
Lower Wick Threshold (Default: 50): The percent of lower wick compared to the full candle size or candle body size.
Use Candle Body (Default: false): Toggles the use of the full candle size versus the candle body size when calculating the wick signal.
VISUAL PREFERENCES
Fill Bands (Default: true): Use a background color inside the Bollinger Bands.
Show Signals (Default: true): Toggle the Bollinger Band upper band, lower band, and baseline signals.
Show Bollinger Bands (Default: true): Show the Bollinger Bands.
STOCHASTIC SETTINGS
Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20.
K (Default: 3): The smoothing level for the Stochastic RSI.
RSI Length (Default: 14): The period length for the RSI calculation.
Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed.
Calculations
Bollinger Bands are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. Bollinger Bands consist of three lines plotted on a price chart:
Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price.
Upper Band: This is calculated by adding a certain number of standard deviations to the middle band (SMA). The upper band adjusts itself with the increase in volatility.
Lower Band: This is calculated by subtracting the same number of standard deviations from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility.
The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side.
Other Usage Notes and Limitations
To understand future price movement, this indicator assumes that 3 things must be known:
Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks.
The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause.
The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions.
When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal.
ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers.
If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure.
When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal.
Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
Harmonic ScannerThe concept of harmonic patterns was introduced in H.M. Gartley's book "Profits in the Stock Market" around 1935. Gartley formation was based on XABCD framework with particular values from Fibonacci values set. With only XABCD frame and Fibonacci values we have over 4 000 atomic combinations. Gartley formation is composed from two atomic combinations. Since then, numerous other combinations have been proposed and can be found on various internet sources. Our objective is not only to utilize known combinations, but also to develop a methodology for identifying combinations that best fit the price changes of a particular financial instrument.
The Harmonic Scanner searches for popular harmonic patterns on a chart and tracks them using typical take profit and stop loss values. The script calculates ideal efficiency by entering a position at the D point and exiting either on the stop loss or at the highest take profit value.
Furthermore, you can enable the "relaxed formations" feature to search for generalized variants of the patterns.
This script can be used by any user. There is no need to have a PRO or PREMIUM account.
Harmonic Scanner is just one component of larger "Harmonic" package, which is designed to simplify the use of the ideas proposed by Gartley and to customize them for various financial instruments.
The Harmonic package includes:
⠀⠀Harmonic Scanner - A classic harmonic patterns detector that checks efficiency by entering in D point and trading move to the take profit value.
⠀⠀Harmonic Predictor - A harmonic pattern detector that checks efficiency by entering at the C point and trading the move to the D point.
⠀⠀Harmonic Scanner TakeProfitMap - A supporting script for scanner, that tracks highest potencial profits from historical transactions to better determine the appropriate take profit values for a given financial instrument.
⠀⠀More components is under developement...
If you prefer a video explanation, please refer to the "HowTo: Harmonic Idea" video.
Script with limited access, contact author to get authorization
Script settings:
Extreme area - Specifies the range in which low/high need to be the lowest/highest bar to be counted as XABCD point.
XA limit - Specifies the maximum distance between successive points in XABCD formation pattern.
Inaccuracy ‰ - It determines the maximum deviation from the conditions that must be met by the pattern. Larger value will produce more duplicates.
Relaxed formations - Formations marked with * will be relaxed on CBD retracement.
Eliminate duplicates - Eliminates formation duplicates. We can precise the maximum deviation of results that are threaded as the same (duplicates).
Verify Predictor - Special mode what can be used to verify results from the Harmonic Predictor script.
List of formations, each letter enables specific formation.
Visualization section with independent settings for the folowing groups:
- Estimated formations ( high or low are still unconfirmed but their confirmation will add new formations),
- Positions (formations tracked for statistics)
- Traded (xlosed positions, either on take profit or stop loss)
For each group of formations following settings can be customized:
- Color used for drawing formation shape
- Checkbox for enabling/disabling shape visualization
- Checkbox for enabling/disabling target visualization
- Picker for selecting the label type
⠀⠀- h(ide)
⠀⠀- s - Labels with small font
⠀⠀- S - Labels with normal font
ShapeBox - Displays a box over formations with the formation name (useful for identifying specific formations).
Color settings - Customize the color of filled and unfilled targets.
Transparency settings - Adjust the transparency of formation shapes and targets.
Statistics - Picker for statistics table type:
H(ide) - Hides the statistics table.
P(ositions) - Shows a list of positions with their corresponding stop loss and take profit values. Take profit values that have been reached are highlighted.
% - Displays the efficiency of formations, split by take profit values.
%W - Displays the efficiency of formations, split by take profit values and weighted by formation size.
Position filter - A filter that works with the P(ositions) statistics.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
Waindrops [Makit0]█ OVERALL
Plot waindrops (custom volume profiles) on user defined periods, for each period you get high and low, it slices each period in half to get independent vwap, volume profile and the volume traded per price at each half.
It works on intraday charts only, up to 720m (12H). It can plot balanced or unbalanced waindrops, and volume profiles up to 24H sessions.
As example you can setup unbalanced periods to get independent volume profiles for the overnight and cash sessions on the futures market, or 24H periods to get the full session volume profile of EURUSD
The purpose of this indicator is twofold:
1 — from a Chartist point of view, to have an indicator which displays the volume in a more readable way
2 — from a Pine Coder point of view, to have an example of use for two very powerful tools on Pine Script:
• the recently updated drawing limit to 500 (from 50)
• the recently ability to use drawings arrays (lines and labels)
If you are new to Pine Script and you are learning how to code, I hope you read all the code and comments on this indicator, all is designed for you,
the variables and functions names, the sometimes too big explanations, the overall structure of the code, all is intended as an example on how to code
in Pine Script a specific indicator from a very good specification in form of white paper
If you wanna learn Pine Script form scratch just start HERE
In case you have any kind of problem with Pine Script please use some of the awesome resources at our disposal: USRMAN , REFMAN , AWESOMENESS , MAGIC
█ FEATURES
Waindrops are a different way of seeing the volume and price plotted in a chart, its a volume profile indicator where you can see the volume of each price level
plotted as a vertical histogram for each half of a custom period. By default the period is 60 so it plots an independent volume profile each 30m
You can think of each waindrop as an user defined candlestick or bar with four key values:
• high of the period
• low of the period
• left vwap (volume weighted average price of the first half period)
• right vwap (volume weighted average price of the second half period)
The waindrop can have 3 different colors (configurable by the user):
• GREEN: when the right vwap is higher than the left vwap (bullish sentiment )
• RED: when the right vwap is lower than the left vwap (bearish sentiment )
• BLUE: when the right vwap is equal than the left vwap ( neutral sentiment )
KEY FEATURES
• Help menu
• Custom periods
• Central bars
• Left/Right VWAPs
• Custom central bars and vwaps: color and pixels
• Highly configurable volume histogram: execution window, ticks, pixels, color, update frequency and fine tuning the neutral meaning
• Volume labels with custom size and color
• Tracking price dot to be able to see the current price when you hide your default candlesticks or bars
█ SETTINGS
Click here or set any impar period to see the HELP INFO : show the HELP INFO, if it is activated the indicator will not plot
PERIOD SIZE (max 2880 min) : waindrop size in minutes, default 60, max 2880 to allow the first half of a 48H period as a full session volume profile
BARS : show the central and vwap bars, default true
Central bars : show the central bars, default true
VWAP bars : show the left and right vwap bars, default true
Bars pixels : width of the bars in pixels, default 2
Bars color mode : bars color behavior
• BARS : gets the color from the 'Bars color' option on the settings panel
• HISTOGRAM : gets the color from the Bearish/Bullish/Neutral Histogram color options from the settings panel
Bars color : color for the central and vwap bars, default white
HISTOGRAM show the volume histogram, default true
Execution window (x24H) : last 24H periods where the volume funcionality will be plotted, default 5
Ticks per bar (max 50) : width in ticks of each histogram bar, default 2
Updates per period : number of times the histogram will update
• ONE : update at the last bar of the period
• TWO : update at the last bar of each half period
• FOUR : slice the period in 4 quarters and updates at the last bar of each of them
• EACH BAR : updates at the close of each bar
Pixels per bar : width in pixels of each histogram bar, default 4
Neutral Treshold (ticks) : delta in ticks between left and right vwaps to identify a waindrop as neutral, default 0
Bearish Histogram color : histogram color when right vwap is lower than left vwap, default red
Bullish Histogram color : histogram color when right vwap is higher than left vwap, default green
Neutral Histogram color : histogram color when the delta between right and left vwaps is equal or lower than the Neutral treshold, default blue
VOLUME LABELS : show volume labels
Volume labels color : color for the volume labels, default white
Volume Labels size : text size for the volume labels, choose between AUTO, TINY, SMALL, NORMAL or LARGE, default TINY
TRACK PRICE : show a yellow ball tracking the last price, default true
█ LIMITS
This indicator only works on intraday charts (minutes only) up to 12H (720m), the lower chart timeframe you can use is 1m
This indicator needs price, time and volume to work, it will not work on an index (there is no volume), the execution will not be allowed
The histogram (volume profile) can be plotted on 24H sessions as limit but you can plot several 24H sessions
█ ERRORS AND PERFORMANCE
Depending on the choosed settings, the script performance will be highly affected and it will experience errors
Two of the more common errors it can throw are:
• Calculation takes too long to execute
• Loop takes too long
The indicator performance is highly related to the underlying volatility (tick wise), the script takes each candlestick or bar and for each tick in it stores the price and volume, if the ticker in your chart has thousands and thousands of ticks per bar the indicator will throw an error for sure, it can not calculate in time such amount of ticks.
What all of that means? Simply put, this will throw error on the BITCOIN pair BTCUSD (high volatility with tick size 0.01) because it has too many ticks per bar, but lucky you it will work just fine on the futures contract BTC1! (tick size 5) because it has a lot less ticks per bar
There are some options you can fine tune to boost the script performance, the more demanding option in terms of resources consumption is Updates per period , by default is maxed out so lowering this setting will improve the performance in a high way.
If you wanna know more about how to improve the script performance, read the HELP INFO accessible from the settings panel
█ HOW-TO SETUP
The basic parameters to adjust are Period size , Ticks per bar and Pixels per bar
• Period size is the main setting, defines the waindrop size, to get a better looking histogram set bigger period and smaller chart timeframe
• Ticks per bar is the tricky one, adjust it differently for each underlying (ticker) volatility wise, for some you will need a low value, for others a high one.
To get a more accurate histogram set it as lower as you can (min value is 1)
• Pixels per bar allows you to adjust the width of each histogram bar, with it you can adjust the blank space between them or allow overlaping
You must play with these three parameters until you obtain the desired histogram: smoother, sharper, etc...
These are some of the different kind of charts you can setup thru the settings:
• Balanced Waindrops (default): charts with waindrops where the two halfs are of same size.
This is the default chart, just select a period (30m, 60m, 120m, 240m, pick your poison), adjust the histogram ticks and pixels and watch
• Unbalanced Waindrops: chart with waindrops where the two halfs are of different sizes.
Do you trade futures and want to plot a waindrop with the first half for the overnight session and the second half for the cash session? you got it;
just adjust the period to 1860 for any CME ticker (like ES1! for example) adjust the histogram ticks and pixels and watch
• Full Session Volume Profile: chart with waindrops where only the first half plots.
Do you use Volume profile to analize the market? Lucky you, now you can trick this one to plot it, just try a period of 780 on SPY, 2760 on ES1!, or 2880 on EURUSD
remember to adjust the histogram ticks and pixels for each underlying
• Only Bars: charts with only central and vwap bars plotted, simply deactivate the histogram and volume labels
• Only Histogram: charts with only the histogram plotted (volume profile charts), simply deactivate the bars and volume labels
• Only Volume: charts with only the raw volume numbers plotted, simply deactivate the bars and histogram
If you wanna know more about custom full session periods for different asset classes, read the HELP INFO accessible from the settings panel
EXAMPLES
Full Session Volume Profile on MES 5m chart:
Full Session Unbalanced Waindrop on MNQ 2m chart (left side Overnight session, right side Cash Session):
The following examples will have the exact same charts but on four different tickers representing a futures contract, a forex pair, an etf and a stock.
We are doing this to be able to see the different parameters we need for plotting the same kind of chart on different assets
The chart composition is as follows:
• Left side: Volume Labels chart (period 10)
• Upper Right side: Waindrops (period 60)
• Lower Right side: Full Session Volume Profile
The first example will specify the main parameters, the rest of the charts will have only the differences
MES :
• Left: Period size: 10, Bars: uncheck, Histogram: uncheck, Execution window: 1, Ticks per bar: 2, Updates per period: EACH BAR,
Pixels per bar: 4, Volume labels: check, Track price: check
• Upper Right: Period size: 60, Bars: check, Bars color mode: HISTOGRAM, Histogram: check, Execution window: 2, Ticks per bar: 2,
Updates per period: EACH BAR, Pixels per bar: 4, Volume labels: uncheck, Track price: check
• Lower Right: Period size: 2760, Bars: uncheck, Histogram: check, Execution window: 1, Ticks per bar: 1, Updates per period: EACH BAR,
Pixels per bar: 2, Volume labels: uncheck, Track price: check
EURUSD :
• Upper Right: Ticks per bar: 10
• Lower Right: Period size: 2880, Ticks per bar: 1, Pixels per bar: 1
SPY :
• Left: Ticks per bar: 3
• Upper Right: Ticks per bar: 5, Pixels per bar: 3
• Lower Right: Period size: 780, Ticks per bar: 2, Pixels per bar: 2
AAPL :
• Left: Ticks per bar: 2
• Upper Right: Ticks per bar: 6, Pixels per bar: 3
• Lower Right: Period size: 780, Ticks per bar: 1, Pixels per bar: 2
█ THANKS TO
PineCoders for all they do, all the tools and help they provide and their involvement in making a better community
scarf for the idea of coding a waindrops like indicator, I did not know something like that existed at all
All the Pine Coders, Pine Pros and Pine Wizards, people who share their work and knowledge for the sake of it and helping others, I'm very grateful indeed
I'm learning at each step of the way from you all, thanks for this awesome community;
Opensource and shared knowledge: this is the way! (said with canned voice from inside my helmet :D)
█ NOTE
This description was formatted following THIS guidelines
═════════════════════════════════════════════════════════════════════════
I sincerely hope you enjoy reading and using this work as much as I enjoyed developing it :D
GOOD LUCK AND HAPPY TRADING!
Signal Quality Validator - Lite# Signal Quality Validator Lite - Technical Documentation
## Introduction
The Signal Quality Validator (SQV) Lite represents a comprehensive approach to technical signal validation, designed to evaluate trading opportunities through multi-dimensional market analysis. This indicator provides traders with objective quality assessments for their entry signals across various market conditions and timeframes.
## Core Architecture
### Component-Based Validation System
SQV Lite employs five fundamental market components, each contributing weighted scores to produce a final quality assessment. The system analyzes multiple market dimensions simultaneously to provide comprehensive signal validation.
Each component uses proprietary algorithms to evaluate specific market conditions:
- Directional bias and strength assessment
- Market participation and flow analysis
- Price acceleration patterns
- Key technical level identification
- Optimal volatility conditions
The final score represents a weighted combination of all components, with thresholds adjusted for different market conditions and timeframes.
## Scoring Methodology
### Quality Grades
- **Grade A+ (90-100)**: Exceptional setup quality with maximum component confluence
- **Grade A (80-89)**: High-quality signals suitable for full position sizing
- **Grade B (65-79)**: Acceptable signals meeting minimum validation criteria
- **Grade C (<65)**: Substandard conditions, signal rejected
### Timeframe Profiles
Pre-configured profiles optimize component weights and thresholds:
| Profile | Typical Use Case | Min/High/Perfect Scores |
|---------|------------------|------------------------|
| 1-5 min | Scalping | 60/75/85 |
| 15-30 min | Day Trading | 65/80/90 |
| 1H-4H | Intraday Swing | 70/85/95 |
| Daily+ | Position Trading | 75/88/95 |
| Custom | User Defined | Configurable |
## Integration Guide
### Standalone Usage
1. Add SQV Lite to your chart
2. Select appropriate timeframe profile
3. Monitor real-time quality grades on signal bars
4. Use dashboard for current market assessment
### Bidirectional Strategy Integration
SQV Lite supports complete two-way communication with your custom strategies, enabling sophisticated signal validation workflows.
#### Step 1: Setting Up Your Strategy to Send Signals
In your custom strategy/indicator, export your signals as plots:
```pinescript
//@version=6
indicator("My Custom Strategy", overlay=true)
// Your signal logic
longSignal = ta.crossover(ema9, ema21) // Example
shortSignal = ta.crossunder(ema9, ema21) // Example
// CRITICAL: Export signals for SQV to read
// Use display=display.none to hide the plots
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
```
#### Step 2: Configure SQV Lite to Receive Signals
1. Add SQV Lite to the same chart as your strategy
2. In SQV Lite settings, enable "Use External Signals"
3. Click on "External Long Signal Source" and select your strategy's "Long Signal Output"
4. Click on "External Short Signal Source" and select your strategy's "Short Signal Output"
#### Step 3: Import SQV Validation Back to Your Strategy
Complete the bidirectional flow by importing SQV's validation results:
```pinescript
//@version=6
strategy("My Strategy with SQV Integration", overlay=true)
// Import SQV validation results
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvTradingMode = input.source(close, "SQV Trading Mode", group="SQV Integration")
// Your original signals
longSignal = ta.crossover(ema9, ema21)
shortSignal = ta.crossunder(ema9, ema21)
// Export for SQV
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// Use SQV validation in entry logic
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long)
// Optional: Use sqvScore for position sizing
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short)
```
#### Step 4: Complete Integration Setup
After adding both scripts to your chart:
1. In your strategy settings → SQV Integration:
- Set "SQV Score Source" → Select SQV Lite: SQV Score
- Set "SQV Long Valid Source" → Select SQV Lite: SQV Long Valid
- Set "SQV Short Valid Source" → Select SQV Lite: SQV Short Valid
2. In SQV Lite settings → Signal Import:
- Enable "Use External Signals"
- Set "External Long Signal Source" → Select Your Strategy: Long Signal Output
- Set "External Short Signal Source" → Select Your Strategy: Short Signal Output
### Available Data Exports from SQV
```pinescript
// Core validation data
plot(currentTotalScore, "SQV Score", display=display.none) // 0-100
plot(sqvLongValid ? 1 : 0, "SQV Long Valid", display=display.none) // 0 or 1
plot(sqvShortValid ? 1 : 0, "SQV Short Valid", display=display.none) // 0 or 1
// Component scores for advanced usage
plot(currentTrendScore, "SQV Trend Score", display=display.none)
plot(currentVolumeScore, "SQV Volume Score", display=display.none)
plot(currentMomentumScore, "SQV Momentum Score", display=display.none)
plot(currentStructureScore, "SQV Structure Score", display=display.none)
plot(currentVolatilityScore, "SQV Volatility Score", display=display.none)
// Additional data
plot(orderFlowDelta, "SQV Order Flow Delta", display=display.none)
plot(tradingMode == "Long" ? 1 : tradingMode == "Short" ? -1 : 0, "SQV Trading Mode", display=display.none)
```
### Advanced Integration Examples
#### Example 1: Quality-Based Position Sizing
```pinescript
// In your strategy
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
// Dynamic position sizing based on signal quality
positionSize = sqvScore >= 90 ? 3 : // A+ quality = 3 units
sqvScore >= 80 ? 2 : // A quality = 2 units
sqvScore >= 65 ? 1 : 0 // B quality = 1 unit
if longSignal and sqvLongValid > 0 and positionSize > 0
strategy.entry("Long", strategy.long, qty=positionSize)
```
#### Example 2: Filtering by Component Scores
```pinescript
// Import individual components
sqvTrend = input.source(close, "SQV Trend Score", group="SQV Integration")
sqvVolume = input.source(close, "SQV Volume Score", group="SQV Integration")
sqvMomentum = input.source(close, "SQV Momentum Score", group="SQV Integration")
// Custom filtering logic
strongTrend = sqvTrend > 80
goodVolume = sqvVolume > 70
strongSetup = strongTrend and goodVolume
if longSignal and sqvLongValid > 0 and strongSetup
strategy.entry("Strong Long", strategy.long)
```
#### Example 3: Order Flow Integration
```pinescript
// Import order flow data
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// Use order flow for additional confirmation
bullishFlow = sqvOrderFlow > 100 // Significant buying pressure
bearishFlow = sqvOrderFlow < -100 // Significant selling pressure
if longSignal and sqvLongValid > 0 and bullishFlow
strategy.entry("Long+Flow", strategy.long)
```
### Visual Feedback Configuration
#### Label Display Modes
1. **Autonomous Mode** (standalone testing):
- Enable "Show Labels Without Signals"
- Labels appear on every bar where score >= minimum threshold
- Useful for initial testing without strategy integration
2. **Signal Mode** (production use):
- Disable "Show Labels Without Signals"
- Enable "Use External Signals"
- Labels appear ONLY when your strategy generates signals
- Prevents chart clutter, shows validation exactly when needed
#### Troubleshooting Integration
**Common Issues:**
1. **Labels not appearing:**
- Verify "Use External Signals" is enabled
- Check signal sources are properly connected
- Ensure your strategy is actually generating signals (add visible plots temporarily)
2. **Wrong source selection:**
- Source dropdowns should show your indicator/strategy name
- Each output plot should be visible in the dropdown
- If not visible, check plot titles in your strategy
3. **Validation always failing:**
- Check Trading Mode matches your signal types
- Verify minimum score thresholds aren't too high
- Use Autonomous Mode to test if SQV is working properly
### Best Practices
1. **Always use `display=display.none`** for communication plots to keep charts clean
2. **Name your plots clearly** for easy identification in source dropdowns
3. **Test in Autonomous Mode first** to understand SQV behavior
4. **Use consistent signal logic** - ensure signals are binary (1 or 0)
5. **Consider adding a small delay** between signal and entry for validation processing
### Complete Integration Template
Here's a full template for a strategy with complete SQV integration:
```pinescript
//@version=6
strategy("Complete SQV Integration Template", overlay=true)
// ========== SQV Integration Inputs ==========
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// ========== Strategy Parameters ==========
emaFast = input.int(9, "Fast EMA")
emaSlow = input.int(21, "Slow EMA")
useQualitySizing = input.bool(true, "Use Quality-Based Sizing")
// ========== Indicators ==========
ema1 = ta.ema(close, emaFast)
ema2 = ta.ema(close, emaSlow)
// ========== Signal Logic ==========
longSignal = ta.crossover(ema1, ema2)
shortSignal = ta.crossunder(ema1, ema2)
// ========== Export Signals to SQV ==========
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// ========== Position Sizing ==========
baseSize = 1
qualityMultiplier = useQualitySizing ?
(sqvScore >= 90 ? 3 : sqvScore >= 80 ? 2 : 1) : 1
positionSize = baseSize * qualityMultiplier
// ========== Entry Logic with SQV Validation ==========
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long, qty=positionSize)
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short, qty=positionSize)
// ========== Exit Logic ==========
if strategy.position_size > 0 and shortSignal
strategy.close("Long")
if strategy.position_size < 0 and longSignal
strategy.close("Short")
// ========== Visual Feedback ==========
plotshape(longSignal and sqvLongValid > 0, "Valid Long",
location=location.belowbar, color=color.green, style=shape.triangleup)
plotshape(shortSignal and sqvShortValid > 0, "Valid Short",
location=location.abovebar, color=color.red, style=shape.triangledown)
```
This template provides everything needed for professional bidirectional integration between your custom strategy and SQV Lite.
## Order Flow Analysis
The integrated Order Flow system automatically adapts to market conditions, providing intelligent analysis of buying and selling pressure. The system handles various market scenarios including low liquidity and minimal price movement conditions through advanced algorithms.
## Visual Interface
### Signal Labels
Displays three-line information blocks:
- Grade designation (A+, A, B, C)
- Numerical quality score
- Order flow direction and magnitude
### Dashboard Elements
- **Profile Display**: Active configuration and thresholds
- **Score Visualization**: Real-time quality assessment
- **Flow Indicator**: Directional bias representation
- **Status Monitor**: Ready/Wait signal state
### Customization Options
- Label distance adjustment (0.5-3.0x ATR)
- Profile selection and custom configuration
- Component weight modifications (Custom mode)
- Threshold adjustments for different market conditions
## Trading Mode Selection
Three operational modes accommodate different trading styles:
- **Long Only**: Validates bullish signals exclusively
- **Short Only**: Validates bearish signals exclusively
- **Both**: Bi-directional signal validation
## Performance Considerations
SQV Lite maintains computational efficiency through:
- Optimized calculation cycles
- Selective component updates
- Efficient data structure usage
- Minimal redundant processing
---
## Feature Comparison: SQV Lite vs Full Version
### Core Components
| Component | SQV Lite | SQV Full | Details |
|-----------|----------|----------|---------|
| **Trend Analysis** | ✅ Full | ✅ Full | Professional trend evaluation |
| **Volume Dynamics** | ✅ Full | ✅ Full | Advanced volume analysis |
| **Momentum Assessment** | ✅ Full | ✅ Full | Multi-factor momentum |
| **Market Structure** | ✅ Basic | ✅ Enhanced | Key level detection |
| **Volatility Filter** | ✅ Full | ✅ Full | Risk-adjusted filtering |
| **Performance Analytics** | ❌ | ✅ | Real-time performance tracking |
| **Impulse Detection** | ❌ | ✅ | Advanced signal filtering |
### Advanced Features
| Feature | SQV Lite | SQV Full | Benefits |
|---------|----------|----------|----------|
| **Multi-Timeframe Analysis** | ❌ | ✅ | Higher timeframe confirmation |
| **Dynamic Position Sizing** | ❌ | ✅ Automatic | Dynamic size optimization |
| **Auto Mode** | ❌ | ✅ | Self-optimizing system |
| **Advanced Profiling** | ❌ | ✅ | Market depth analysis |
| **Recovery Mode** | ❌ | ✅ | Adaptive drawdown handling |
| **Statistical Validation** | ❌ | ✅ | Confidence-based filtering |
### Profiles & Configuration
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Timeframe Profiles** | 5 | 8 |
| **Available Profiles** | 1-5m, 15-30m, 1-4H, Daily+, Custom | All Lite + ES, NQ, Auto |
| **Custom Weights** | ✅ Manual | ✅ Manual + Auto-optimization |
| **Threshold Adjustment** | ✅ | ✅ Enhanced |
### Visual Interface
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Dashboard Styles** | 1 (Standard) | 4 (Multiple layouts) |
| **Signal Labels** | ✅ Basic | ✅ Enhanced with sizing |
| **Advanced Visualizations** | ❌ | ✅ |
| **Component Breakdown** | ❌ | ✅ Detailed view |
| **Performance Display** | ❌ | ✅ Live statistics |
| **Debug Mode** | ❌ | ✅ |
### Integration Capabilities
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Script Type** | Indicator | Strategy |
| **Signal Import** | ✅ | Via strategy conditions |
| **Data Export** | ✅ All via plots | Internal to strategy |
| **Bidirectional Flow** | ✅ Full support | One-way (strategy-based) |
### Risk Management
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Position Sizing** | Manual | ✅ Automatic |
| **Quality-Based Sizing** | Via integration | ✅ Built-in |
| **Performance Adjustment** | ❌ | ✅ |
| **Risk Grade System** | ❌ | ✅ Risk grading system |
| **Statistical Filtering** | ❌ | ✅ |
### Market Analysis
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Order Flow Analysis** | ✅ Automatic | ✅ Advanced |
| **Market Manipulation Detection** | ❌ | ✅ |
| **Multi-Timeframe Validation** | ❌ | ✅ |
| **Advanced Momentum Analysis** | Basic | ✅ Enhanced |
| **Market Regime Adaptation** | Basic | ✅ Full Auto Mode |
### Summary
| Aspect | SQV Lite | SQV Full |
|--------|----------|----------|
| **Best For** | Signal validation, integration with custom strategies | Complete trading system with built-in strategy |
| **Learning Curve** | Easy | Moderate |
| **Customization** | High (via integration) | Very High (all parameters) |
| **Price** | Free | $29/month |
---
## SQV Bridge System
### Overview
The SQV Bridge System allows you to connect any TradingView indicator or strategy with the Signal Quality Validator (SQV) system. This enables you to add professional-grade signal validation to your existing trading tools without modifying their code.
### System Components
1. **SQV Lite** (Required) - The core validation engine
2. **Bridge** (Choose one):
- **Indicator Bridge** - For visual signals and alerts
- **Strategy Bridge** - For automated backtesting and trading
3. **Your Trading Tool** - Any indicator or strategy that generates signals
---
## SQV Indicator Bridge
### //@version=6
### indicator("SQV Indicator Bridge", overlay=true)
### Purpose
The Indicator Bridge displays validated entry signals on your chart. It receives signals from any indicator and validation from SQV Lite, showing only high-quality trade opportunities.
### Features
- Visual labels for validated signals
- Customizable appearance (size, color, position)
- Alert capabilities
- Hidden signal exports for other tools
### Setup Instructions
1. **Add Your Indicator**
- Apply your trading indicator to the chart
- Note which plots contain long/short signals
2. **Add SQV Lite**
- Add SQV Lite indicator to the same chart
- Configure SQV settings as needed
3. **Add Indicator Bridge**
- Add "SQV Indicator Bridge" to chart
- Connect the sources:
- Long Signal Source → Your indicator's long signal
- Short Signal Source → Your indicator's short signal
- SQV Long Valid → From SQV Lite
- SQV Short Valid → From SQV Lite
- SQV Score → From SQV Lite (for alerts)
### Configuration Options
#### Visual Settings
- **Show Labels**: Toggle signal labels on/off
- **Label Offset**: Distance from candles (0-5 ATR)
- **Label Size**: Tiny, Small, or Normal
- **Colors**: Customize long/short colors
#### Alerts
- Enable/disable alert notifications
- Alerts include SQV score in message
### Example Code (Add to Your Indicator)
```pinescript
// Export signals from your indicator
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Complete Indicator Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// ===================================================================
// SQV INDICATOR BRIDGE - CLEAN VERSION
// Version 1.0
//
// Simple bridge that shows validated entry signals.
// Receives signals from any indicator and validation from SQV Lite.
//
// SETUP:
// 1. Add your indicator to chart
// 2. Add SQV Lite to chart
// 3. Add this bridge
// 4. Connect sources in settings
// ===================================================================
// ===================================================================
// INPUT SOURCES
// ===================================================================
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Select Long Signal from your indicator")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Select Short Signal from your indicator")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources",
tooltip="Select 'SQV Long Valid' from SQV Lite")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources",
tooltip="Select 'SQV Short Valid' from SQV Lite")
sqvScore = input.source(close, "SQV Score", group="SQV Sources",
tooltip="Select 'SQV Score' from SQV Lite (for alerts)")
// ===================================================================
// SETTINGS
// ===================================================================
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual",
tooltip="0 = Labels at candle edges, higher = further away")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// ===================================================================
// MAIN LOGIC
// ===================================================================
// Calculate offset
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
// Check for validated signals
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// Hidden exports
plot(hasValidLong ? 1 : 0, "Valid Long", display=display.none)
plot(hasValidShort ? 1 : 0, "Valid Short", display=display.none)
```
---
## SQV Strategy Bridge
### //@version=6
### strategy("SQV Strategy Bridge", overlay=true, ...)
### Purpose
The Strategy Bridge executes trades with SQV validation, enabling backtesting and live trading with quality-filtered signals. It can receive position sizing, stop loss, and take profit levels from your strategy.
### Features
- Automated trade execution with SQV validation
- Dynamic position sizing support
- Stop loss and take profit integration
- Position status display
- Alert system for trade notifications
### Setup Instructions
1. **Prepare Your Strategy**
- Export required values as plots (see examples below)
- Ensure signals are clear (1 for entry, 0 for no signal)
2. **Add SQV Lite**
- Add SQV Lite indicator to the chart
- Configure validation parameters
3. **Add Strategy Bridge**
- Add "SQV Strategy Bridge" to chart
- Connect all required sources
### Source Connections
#### Required Sources
- **Long Signal Source** → Your strategy's long signal
- **Short Signal Source** → Your strategy's short signal
- **SQV Long Valid** → From SQV Lite
- **SQV Short Valid** → From SQV Lite
- **SQV Score** → From SQV Lite
#### Optional Sources (Advanced)
- **Position Size Source** → Dynamic position sizing
- **Long/Short Stop Loss** → Stop loss prices
- **Long/Short Take Profit** → Take profit prices
### Configuration Options
#### Position Management
- **Use Position Size from Strategy**: Enable dynamic sizing
- **Default Position Size %**: Fallback size (0.1-100%)
#### Risk Management
- **Use Stop Loss from Strategy**: Enable dynamic stops
- **Use Take Profit from Strategy**: Enable dynamic targets
### Example Code (Add to Your Strategy)
```pinescript
// Basic signal export
plot(buySignal ? 1 : 0, "Long Signal", display=display.none)
plot(sellSignal ? 1 : 0, "Short Signal", display=display.none)
// Advanced exports (optional)
// Position size (0.1 = 10% of equity)
plot(myPositionSize, "Position Size Output", display=display.none)
// Stop loss prices
plot(longStopPrice, "Long Stop Price", display=display.none)
plot(shortStopPrice, "Short Stop Price", display=display.none)
// Take profit prices
plot(longTPPrice, "Long TP Price", display=display.none)
plot(shortTPPrice, "Short TP Price", display=display.none)
```
### Complete Strategy Bridge Code
```pinescript
//@version=6
strategy("SQV Strategy Bridge",
overlay=true,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10,
commission_type=strategy.commission.percent,
commission_value=0.1)
// ===================================================================
// SQV STRATEGY BRIDGE - SIMPLE VERSION
// Version 1.0
//
// Receives everything from your strategy:
// - Signals (when to trade)
// - Position size (how much to trade)
// - Stop loss levels (optional)
// - Take profit levels (optional)
//
// Bridge only executes trades with SQV validation
// ===================================================================
// ===================================================================
// SIGNAL SOURCES
// ===================================================================
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Connect to Long Signal from your strategy")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Connect to Short Signal from your strategy")
// ===================================================================
// SQV SOURCES
// ===================================================================
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// ===================================================================
// POSITION SIZE SOURCES (FROM YOUR STRATEGY)
// ===================================================================
usePositionFromStrategy = input.bool(false, "Use Position Size from Strategy", group="Position")
positionSizeSource = input.source(close, "Position Size Source", group="Position",
tooltip="Your strategy should export position size (% or fixed quantity)")
defaultPositionSize = input.float(10, "Default Position Size %", minval=0.1, maxval=100, group="Position",
tooltip="Used if 'Use Position Size from Strategy' is disabled")
// ===================================================================
// STOP LOSS SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useStopFromStrategy = input.bool(false, "Use Stop Loss from Strategy", group="Risk Management")
longStopSource = input.source(close, "Long Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for longs")
shortStopSource = input.source(close, "Short Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for shorts")
// ===================================================================
// TAKE PROFIT SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useTakeProfitFromStrategy = input.bool(false, "Use Take Profit from Strategy", group="Risk Management")
longTakeProfitSource = input.source(close, "Long Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for longs")
shortTakeProfitSource = input.source(close, "Short Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for shorts")
// ===================================================================
// ALERTS
// ===================================================================
enableAlerts = input.bool(true, "Enable Alerts", group="Alerts")
// ===================================================================
// TRADING LOGIC
// ===================================================================
// Check signals with SQV validation
hasLongSignal = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasShortSignal = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Position state
inLong = strategy.position_size > 0
inShort = strategy.position_size < 0
// Get position size
getPositionSize() =>
if usePositionFromStrategy and positionSizeSource > 0
positionSizeSource
else
defaultPositionSize / 100
// LONG ENTRY
if hasLongSignal and not inLong
if inShort
strategy.close("Short")
qty = getPositionSize()
strategy.entry("Long", strategy.long, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and longStopSource > 0 ? longStopSource : na
tpPrice = useTakeProfitFromStrategy and longTakeProfitSource > 0 ? longTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Long Exit", "Long", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Long Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// SHORT ENTRY
if hasShortSignal and not inShort
if inLong
strategy.close("Long")
qty = getPositionSize()
strategy.entry("Short", strategy.short, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and shortStopSource > 0 ? shortStopSource : na
tpPrice = useTakeProfitFromStrategy and shortTakeProfitSource > 0 ? shortTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Short Exit", "Short", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Short Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// ===================================================================
// POSITION INFO
// ===================================================================
var label infoLabel = label.new(bar_index, high, "", style=label.style_label_left)
if barstate.islast
posText = "Bridge Status\n"
posText := inLong ? posText + "Position: LONG\n" : inShort ? posText + "Position: SHORT\n" : posText + "Position: FLAT\n"
posText := "SQV Score: " + str.tostring(sqvScore, "#")
label.set_xy(infoLabel, bar_index + 1, high)
label.set_text(infoLabel, posText)
label.set_color(infoLabel, inLong ? color.new(color.green, 80) : inShort ? color.new(color.red, 80) : color.new(color.gray, 80))
label.set_textcolor(infoLabel, color.white)
// ===================================================================
// HOW TO EXPORT FROM YOUR STRATEGY:
//
// // In your strategy, export these values:
//
// // Position size (% as decimal: 0.1 = 10%, or fixed: 0.2 = 0.2 BTC)
// plot(myPositionSize, "Position Size Output", display=display.none)
//
// // Stop loss prices
// plot(longStopPrice, "Long Stop Price", display=display.none)
// plot(shortStopPrice, "Short Stop Price", display=display.none)
//
// // Take profit prices
// plot(longTPPrice, "Long TP Price", display=display.none)
// plot(shortTPPrice, "Short TP Price", display=display.none)
// ===================================================================
```
---
## Quick Start Guide
### For Indicators (Visual Signals)
1. Add these three indicators in order:
- Your trading indicator
- SQV Lite
- SQV Indicator Bridge
2. In Bridge settings, connect:
- Signal sources from your indicator
- Validation sources from SQV Lite
3. Adjust visual settings to preference
### For Strategies (Automated Trading)
1. Modify your strategy to export signals:
```pinescript
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
2. Add to chart:
- Your modified strategy (as indicator)
- SQV Lite
- SQV Strategy Bridge
3. Connect all sources in Bridge settings
4. Run backtest or enable live trading
---
## Tips & Best Practices
### Signal Quality
- SQV validates signals based on 5 market components (7 in full version)
- Only signals with sufficient quality score pass validation
- Adjust SQV settings to match your trading style
### Position Sizing
- Default sizing uses percentage of equity
- Advanced users can export dynamic sizing from strategy
- Size based on signal quality or market conditions
### Risk Management
- Always use stop losses (manual or from strategy)
- Consider using SQV's quality score for position sizing
- Monitor win rate and Sharpe ratio in SQV dashboard (full version)
### Troubleshooting
- **No signals showing**: Check source connections
- **Too few signals**: Lower SQV minimum score
- **Too many signals**: Increase SQV requirements
- **Backtest issues**: Ensure strategy calculations match
---
## Example Setups
### Simple Moving Average Cross + SQV
```pinescript
// In your indicator
ma_fast = ta.sma(close, 20)
ma_slow = ta.sma(close, 50)
longSignal = ta.crossover(ma_fast, ma_slow)
shortSignal = ta.crossunder(ma_fast, ma_slow)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
### RSI Strategy with Dynamic Stops
```pinescript
// In your strategy
rsi = ta.rsi(close, 14)
longSignal = rsi < 30
shortSignal = rsi > 70
// Dynamic stops based on ATR
atr = ta.atr(14)
longStop = close - (atr * 2)
shortStop = close + (atr * 2)
// Export everything
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
plot(longStop, "Long Stop Price", display=display.none)
plot(shortStop, "Short Stop Price", display=display.none)
```
---
## Advanced Features
### Multi-Timeframe Validation
SQV automatically checks higher timeframes for confluence, improving signal reliability (Full version only).
### Adaptive Profiles
Use "Auto" profile in SQV for dynamic parameter adjustment based on market conditions (Full version only).
### Performance Tracking
SQV tracks win rate, Sharpe ratio, and other metrics to ensure consistent performance (Full version only).
### Order Flow Analysis
Validates signals using volume delta and buying/selling pressure (included in Lite version).
---
## Upgrade to SQV Full Version
### Enhanced Capabilities in Full Version
The complete SQV system extends validation capabilities with advanced components:
#### 🎯 **Performance Analytics Component**
- Real-time Sharpe Ratio calculation
- Win rate tracking with confidence intervals
- Risk-adjusted performance metrics
- Adaptive threshold adjustments
#### ⚡ **Impulse Detection with Trap Analysis**
- Advanced momentum surge detection
- Market manipulation identification
- False breakout filtering
- Volume/price divergence analysis
#### 📊 **Multi-Timeframe Confluence**
- Three-timeframe trend alignment
- Higher timeframe confirmation requirements
- Confluence strength scoring
- Directional bias validation
#### 🎰 **Dynamic Position Sizing**
- Automatic position multipliers based on signal quality
- Grade A+ signals (90+) = Maximum multiplier
- Grade A signals (80-89) = Scaled multiplier
- Grade B signals (65-79) = Base position size
- Risk-adjusted position management
- Sharpe-influenced adjustments
#### 🔄 **Auto Mode**
- Market-adaptive parameter optimization
- Dynamic weight redistribution
- Volatility-based threshold adjustments
- Self-calibrating component settings
#### 📈 **Volume Profile Integration**
- Point of Control (POC) identification
- Value Area analysis (VAH/VAL)
- Profile-based support/resistance
- Volume distribution visualization
#### 🛡️ **Recovery Mode**
- Drawdown detection and adaptation
- Conservative validation during recovery
- Gradual threshold normalization
- Performance-based re-engagement
#### 📊 **Extended Visualizations**
- Multiple dashboard layouts
- Component breakdown displays
- Performance statistics panels
- Risk grade assessments
### Why Upgrade?
While SQV Lite provides robust signal validation, the Full Version transforms your trading with:
- **Automated risk management** through dynamic sizing
- **Superior signal filtering** via Impulse and MTF components
- **Performance optimization** with real-time analytics
- **Market adaptation** through Auto Mode
- **Additional dashboard layouts** for complete market insight
The Full Version includes everything in Lite plus seven additional premium components.
---
## 💰 **SQV Full Version Pricing**
### **Monthly Subscription: $29/month**
Get instant access to the complete Signal Quality Validator system with all premium features:
- ✅ All 7 additional advanced components
- ✅ Automatic position sizing optimization
- ✅ Performance analytics & Sharpe tracking
- ✅ Impulse detection with trap analysis
- ✅ Multi-timeframe confluence validation
- ✅ Auto Mode with self-optimization
- ✅ Recovery mode for drawdown management
- ✅ 4 dashboard layouts
- ✅ Lifetime updates included
- ✅ Priority support
**The automatic position sizing feature alone can pay for months of subscription with a single properly-sized winning trade.**
### 📩 **How to Subscribe**
To get access to SQV Full Version:
1. **Send me a DM** on TradingView
2. **Include your TradingView username/ID** in the message
3. Receive payment instructions and access upon confirmation
*Your TradingView ID is required to grant access to the private indicator.*
### 🔧 **Custom Integration Services**
**Need direct integration into your Pine Script strategy?**
For traders requiring seamless library-based integration without the 500-bar limitation:
- Full backtesting on complete price history
- Zero signal delay
- Custom parameter optimization
- Private library implementation
**📩 DM me for custom integration pricing and details**
---
## Support and Updates
- Both bridges are regularly updated
- SQV Lite receives regular maintenance updates
- For technical questions or feature requests, please reach out through TradingView's messaging system
- Check for new features and improvements in the script descriptions
## Disclaimer
Signal Quality Validator provides technical analysis assistance only. All trading decisions remain the sole responsibility of the user. Past performance does not guarantee future results. Trade responsibly and within your risk tolerance.
*Note: This system is designed for educational purposes. Always test thoroughly before live trading.*
Diamond Peaks [EdgeTerminal]The Diamond Peaks indicator is a comprehensive technical analysis tool that uses a few mathematical models to identify high-probability trading opportunities. This indicator goes beyond traditional support and resistance identification by incorporating volume analysis, momentum divergences, advanced price action patterns, and market sentiment indicators to generate premium-quality buy and sell signals.
Dynamic Support/Resistance Calculation
The indicator employs an adaptive algorithm that calculates support and resistance levels using a volatility-adjusted lookback period. The base calculation uses ta.highest(length) and ta.lowest(length) functions, where the length parameter is dynamically adjusted using the formula: adjusted_length = base_length * (1 + (volatility_ratio - 1) * volatility_factor). The volatility ratio is computed as current_ATR / average_ATR over a 50-period window, ensuring the lookback period expands during volatile conditions and contracts during calm periods. This mathematical approach prevents the indicator from using fixed periods that may become irrelevant during different market regimes.
Momentum Divergence Detection Algorithm
The divergence detection system uses a mathematical comparison between price series and oscillator values over a specified lookback period. For bullish divergences, the algorithm identifies when recent_low < previous_low while simultaneously indicator_at_recent_low > indicator_at_previous_low. The inverse logic applies to bearish divergences. The system tracks both RSI (calculated using Pine Script's standard ta.rsi() function with Wilder's smoothing) and MACD (using ta.macd() with exponential moving averages). The mathematical rigor ensures that divergences are only flagged when there's a clear mathematical relationship between price momentum and the underlying oscillator momentum, eliminating false signals from minor price fluctuations.
Volume Analysis Mathematical Framework
The volume analysis component uses multiple mathematical transformations to assess market participation. The Cumulative Volume Delta (CVD) is calculated as ∑(buying_volume - selling_volume) where buying_volume occurs when close > open and selling_volume when close < open. The relative volume calculation uses current_volume / ta.sma(volume, period) to normalize current activity against historical averages. Volume Rate of Change employs ta.roc(volume, period) = (current_volume - volume ) / volume * 100 to measure volume acceleration. Large trade detection uses a threshold multiplier against the volume moving average, mathematically identifying institutional activity when relative_volume > threshold_multiplier.
Advanced Price Action Mathematics
The Wyckoff analysis component uses mathematical volume climax detection by comparing current volume against ta.highest(volume, 50) * 0.8, while price compression is measured using (high - low) < ta.atr(20) * 0.5. Liquidity sweep detection employs percentage-based calculations: bullish sweeps occur when low < recent_low * (1 - threshold_percentage/100) followed by close > recent_low. Supply and demand zones are mathematically validated by tracking subsequent price action over a defined period, with zone strength calculated as the count of bars where price respects the zone boundaries. Fair value gaps are identified using ATR-based thresholds: gap_size > ta.atr(14) * 0.5.
Sentiment and Market Regime Mathematics
The sentiment analysis employs a multi-factor mathematical model. The fear/greed index uses volatility normalization: 100 - min(100, stdev(price_changes, period) * scaling_factor). Market regime classification uses EMA crossover mathematics with additional ADX-based trend strength validation. The trend strength calculation implements a modified ADX algorithm: DX = |+DI - -DI| / (+DI + -DI) * 100, then ADX = RMA(DX, period). Bull regime requires short_EMA > long_EMA AND ADX > 25 AND +DI > -DI. The mathematical framework ensures objective regime classification without subjective interpretation.
Confluence Scoring Mathematical Model
The confluence scoring system uses a weighted linear combination: Score = (divergence_component * 0.25) + (volume_component * 0.25) + (price_action_component * 0.25) + (sentiment_component * 0.25) + contextual_bonuses. Each component is normalized to a 0-100 scale using percentile rankings and threshold comparisons. The mathematical model ensures that no single component can dominate the score, while contextual bonuses (regime alignment, volume confirmation, etc.) provide additional mathematical weight when multiple factors align. The final score is bounded using math.min(100, math.max(0, calculated_score)) to maintain mathematical consistency.
Vitality Field Mathematical Implementation
The vitality field uses a multi-factor scoring algorithm that combines trend direction (EMA crossover: trend_score = fast_EMA > slow_EMA ? 1 : -1), momentum (RSI-based: momentum_score = RSI > 50 ? 1 : -1), MACD position (macd_score = MACD_line > 0 ? 1 : -1), and volume confirmation. The final vitality score uses weighted mathematics: vitality_score = (trend * 0.4) + (momentum * 0.3) + (macd * 0.2) + (volume * 0.1). The field boundaries are calculated using ATR-based dynamic ranges: upper_boundary = price_center + (ATR * user_defined_multiplier), with EMA smoothing applied to prevent erratic boundary movements. The gradient effect uses mathematical transparency interpolation across multiple zones.
Signal Generation Mathematical Logic
The signal generation employs boolean algebra with multiple mathematical conditions that must simultaneously evaluate to true. Buy signals require: (confluence_score ≥ threshold) AND (divergence_detected = true) AND (relative_volume > 1.5) AND (volume_ROC > 25%) AND (RSI < 35) AND (trend_strength > minimum_ADX) AND (regime = bullish) AND (cooldown_expired = true) AND (last_signal ≠ buy). The mathematical precision ensures that signals only generate when all quantitative conditions are met, eliminating subjective interpretation. The cooldown mechanism uses bar counting mathematics: bars_since_last_signal = current_bar_index - last_signal_bar_index ≥ cooldown_period. This mathematical framework provides objective, repeatable signal generation that can be backtested and validated statistically.
This mathematical foundation ensures the indicator operates on objective, quantifiable principles rather than subjective interpretation, making it suitable for algorithmic trading and systematic analysis while maintaining transparency in its computational methodology.
* for now, we're planning to keep the source code private as we try to improve the models used here and allow a small group to test them. My goal is to eventually use the multiple models in this indicator as their own free and open source indicators. If you'd like to use this indicator, please send me a message to get access.
Advanced Confluence Scoring System
Each support and resistance level receives a comprehensive confluence score (0-100) based on four weighted components:
Momentum Divergences (25% weight)
RSI and MACD divergence detection
Identifies momentum shifts before price reversals
Bullish/bearish divergence confirmation
Volume Analysis (25% weight)
Cumulative Volume Delta (CVD) analysis
Volume Rate of Change monitoring
Large trade detection (institutional activity)
Volume profile strength assessment
Advanced Price Action (25% weight)
Supply and demand zone identification
Liquidity sweep detection (stop hunts)
Wyckoff accumulation/distribution patterns
Fair value gap analysis
Market Sentiment (25% weight)
Fear/Greed index calculation
Market regime classification (Bull/Bear/Sideways)
Trend strength measurement (ADX-like)
Momentum regime alignment
Dynamic Support and Resistance Detection
The indicator uses an adaptive algorithm to identify significant support and resistance levels based on recent market highs and lows. Unlike static levels, these zones adjust dynamically to market volatility using the Average True Range (ATR), ensuring the levels remain relevant across different market conditions.
Vitality Field Background
The indicator features a unique vitality field that provides instant visual feedback about market sentiment:
Green zones: Bullish market conditions with strong momentum
Red zones: Bearish market conditions with weak momentum
Gray zones: Neutral/sideways market conditions
The vitality field uses a sophisticated gradient system that fades from the center outward, creating a clean, professional appearance that doesn't overwhelm the chart while providing valuable context.
Buy Signals (🚀 BUY)
Buy signals are generated when ALL of the following conditions are met:
Valid support level with confluence score ≥ 80
Bullish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bull market regime environment
RSI below 35 (oversold conditions)
Price action confirmation (Wyckoff accumulation, liquidity sweep, or large buying volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive buy signals)
Cooldown period expired (default 10 bars)
Sell Signals (🔻 SELL)
Sell signals are generated when ALL of the following conditions are met:
Valid resistance level with confluence score ≥ 80
Bearish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bear market regime environment
RSI above 65 (overbought conditions)
Price action confirmation (Wyckoff distribution, liquidity sweep, or large selling volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive sell signals)
Cooldown period expired (default 10 bars)
How to Use the Indicator
1. Signal Quality Assessment
Monitor the confluence scores in the information table:
Score 90-100: Exceptional quality levels (A+ grade)
Score 80-89: High quality levels (A grade)
Score 70-79: Good quality levels (B grade)
Score below 70: Weak levels (filtered out by default)
2. Market Context Analysis
Use the vitality field and market regime information to understand the broader market context:
Trade buy signals in green vitality zones during bull regimes
Trade sell signals in red vitality zones during bear regimes
Exercise caution in gray zones (sideways markets)
3. Entry and Exit Strategy
For Buy Signals:
Enter long positions when premium buy signals appear
Place stop loss below the support confluence zone
Target the next resistance level or use a risk/reward ratio of 2:1 or higher
For Sell Signals:
Enter short positions when premium sell signals appear
Place stop loss above the resistance confluence zone
Target the next support level or use a risk/reward ratio of 2:1 or higher
4. Risk Management
Only trade signals with confluence scores above 80
Respect the signal alternation system (no overtrading)
Use appropriate position sizing based on signal quality
Consider the overall market regime before taking trades
Customizable Settings
Signal Generation Controls
Signal Filtering: Enable/disable advanced filtering
Confluence Threshold: Adjust minimum score requirement (70-95)
Cooldown Period: Set bars between signals (5-50)
Volume/Momentum Requirements: Toggle confirmation requirements
Trend Strength: Minimum ADX requirement (15-40)
Vitality Field Options
Enable/Disable: Control background field display
Transparency Settings: Adjust opacity for center and edges
Field Size: Control the field boundaries (3.0-20.0)
Color Customization: Set custom colors for bullish/bearish/neutral states
Weight Adjustments
Divergence Weight: Adjust momentum component influence (10-40%)
Volume Weight: Adjust volume component influence (10-40%)
Price Action Weight: Adjust price action component influence (10-40%)
Sentiment Weight: Adjust sentiment component influence (10-40%)
Best Practices
Always wait for complete signal confirmation before entering trades
Use higher timeframes for signal validation and context
Combine with proper risk management and position sizing
Monitor the information table for real-time market analysis
Pay attention to volume confirmation for higher probability trades
Respect market regime alignment for optimal results
Basic Settings
Base Length (Default: 25)
Controls the lookback period for identifying support and resistance levels
Range: 5-100 bars
Lower values = More responsive, shorter-term levels
Higher values = More stable, longer-term levels
Recommendation: 25 for intraday, 50 for swing trading
Enable Adaptive Length (Default: True)
Automatically adjusts the base length based on market volatility
When enabled, length increases in volatile markets and decreases in calm markets
Helps maintain relevant levels across different market conditions
Volatility Factor (Default: 1.5)
Controls how much the adaptive length responds to volatility changes
Range: 0.5-3.0
Higher values = More aggressive length adjustments
Lower values = More conservative length adjustments
Volume Profile Settings
VWAP Length (Default: 200)
Sets the calculation period for the Volume Weighted Average Price
Range: 50-500 bars
Shorter periods = More responsive to recent price action
Longer periods = More stable reference line
Used for volume profile analysis and confluence scoring
Volume MA Length (Default: 50)
Period for calculating the volume moving average baseline
Range: 10-200 bars
Used to determine relative volume (current volume vs. average)
Shorter periods = More sensitive to volume changes
Longer periods = More stable volume baseline
High Volume Node Threshold (Default: 1.5)
Multiplier for identifying significant volume spikes
Range: 1.0-3.0
Values above this threshold mark high-volume nodes with diamond shapes
Lower values = More frequent high-volume signals
Higher values = Only extreme volume events marked
Momentum Divergence Settings
Enable Divergence Detection (Default: True)
Master switch for momentum divergence analysis
When disabled, removes divergence from confluence scoring
Significantly impacts signal generation quality
RSI Length (Default: 14)
Period for RSI calculation used in divergence detection
Range: 5-50
Standard RSI settings apply (14 is most common)
Shorter periods = More sensitive, more signals
Longer periods = Smoother, fewer but more reliable signals
MACD Settings
Fast (Default: 12): Fast EMA period for MACD calculation (5-50)
Slow (Default: 26): Slow EMA period for MACD calculation (10-100)
Signal (Default: 9): Signal line EMA period (3-20)
Standard MACD settings for divergence detection
Divergence Lookback (Default: 5)
Number of bars to look back when detecting divergences
Range: 3-20
Shorter periods = More frequent divergence signals
Longer periods = More significant divergence signals
Volume Analysis Enhancement Settings
Enable Advanced Volume Analysis (Default: True)
Master control for sophisticated volume calculations
Includes CVD, volume ROC, and large trade detection
Critical for signal accuracy
Cumulative Volume Delta Length (Default: 20)
Period for CVD smoothing calculation
Range: 10-100
Tracks buying vs. selling pressure over time
Shorter periods = More reactive to recent flows
Longer periods = Broader trend perspective
Volume ROC Length (Default: 10)
Period for Volume Rate of Change calculation
Range: 5-50
Measures volume acceleration/deceleration
Key component in volume confirmation requirements
Large Trade Volume Threshold (Default: 2.0)
Multiplier for identifying institutional-size trades
Range: 1.5-5.0
Trades above this threshold marked as large trades
Lower values = More frequent large trade signals
Higher values = Only extreme institutional activity
Advanced Price Action Settings
Enable Wyckoff Analysis (Default: True)
Activates simplified Wyckoff accumulation/distribution detection
Identifies potential smart money positioning
Important for high-quality signal generation
Enable Supply/Demand Zones (Default: True)
Identifies fresh supply and demand zones
Tracks zone strength based on subsequent price action
Enhances confluence scoring accuracy
Enable Liquidity Analysis (Default: True)
Detects liquidity sweeps and stop hunts
Identifies fake breakouts vs. genuine moves
Critical for avoiding false signals
Zone Strength Period (Default: 20)
Bars used to assess supply/demand zone strength
Range: 10-50
Longer periods = More thorough zone validation
Shorter periods = Faster zone assessment
Liquidity Sweep Threshold (Default: 0.5%)
Percentage move required to confirm liquidity sweep
Range: 0.1-2.0%
Lower values = More sensitive sweep detection
Higher values = Only significant sweeps detected
Sentiment and Flow Settings
Enable Sentiment Analysis (Default: True)
Master control for market sentiment calculations
Includes fear/greed index and regime classification
Important for market context assessment
Fear/Greed Period (Default: 20)
Calculation period for market sentiment indicator
Range: 10-50
Based on price volatility and momentum
Shorter periods = More reactive sentiment readings
Momentum Regime Length (Default: 50)
Period for determining overall market regime
Range: 20-100
Classifies market as Bull/Bear/Sideways
Longer periods = More stable regime classification
Trend Strength Length (Default: 30)
Period for ADX-like trend strength calculation
Range: 10-100
Measures directional momentum intensity
Used in signal filtering requirements
Advanced Signal Generation Settings
Enable Signal Filtering (Default: True)
Master control for premium signal generation system
When disabled, uses basic signal conditions
Highly recommended to keep enabled
Minimum Signal Confluence Score (Default: 80)
Required confluence score for signal generation
Range: 70-95
Higher values = Fewer but higher quality signals
Lower values = More frequent but potentially lower quality signals
Signal Cooldown (Default: 10 bars)
Minimum bars between signals of same type
Range: 5-50
Prevents signal spam and overtrading
Higher values = More conservative signal spacing
Require Volume Confirmation (Default: True)
Mandates volume requirements for signal generation
Requires 1.5x average volume + 25% volume ROC
Critical for signal quality
Require Momentum Confirmation (Default: True)
Mandates divergence detection for signals
Ensures momentum backing for directional moves
Essential for high-probability setups
Minimum Trend Strength (Default: 25)
Required ADX level for signal generation
Range: 15-40
Ensures signals occur in trending markets
Higher values = Only strong trending conditions
Confluence Scoring Settings
Minimum Confluence Score (Default: 70)
Threshold for displaying support/resistance levels
Range: 50-90
Levels below this score are filtered out
Higher values = Only strongest levels shown
Component Weights (Default: 25% each)
Divergence Weight: Momentum component influence (10-40%)
Volume Weight: Volume analysis influence (10-40%)
Price Action Weight: Price patterns influence (10-40%)
Sentiment Weight: Market sentiment influence (10-40%)
Must total 100% for balanced scoring
Vitality Field Settings
Enable Vitality Field (Default: True)
Controls the background gradient field display
Provides instant visual market sentiment feedback
Enhances chart readability and context
Vitality Center Transparency (Default: 85%)
Opacity at the center of the vitality field
Range: 70-95%
Lower values = More opaque center
Higher values = More transparent center
Vitality Edge Transparency (Default: 98%)
Opacity at the edges of the vitality field
Range: 95-99%
Creates smooth fade effect from center to edges
Higher values = More subtle edge appearance
Vitality Field Size (Default: 8.0)
Controls the overall size of the vitality field
Range: 3.0-20.0
Based on ATR multiples for dynamic sizing
Lower values = Tighter field around price
Higher values = Broader field coverage
Recommended Settings by Trading Style
Scalping (1-5 minutes)
Base Length: 15
Volume MA Length: 20
Signal Cooldown: 5 bars
Vitality Field Size: 5.0
Higher sensitivity for quick moves
Day Trading (15-60 minutes)
Base Length: 25 (default)
Volume MA Length: 50 (default)
Signal Cooldown: 10 bars (default)
Vitality Field Size: 8.0 (default)
Balanced settings for intraday moves
Swing Trading (4H-Daily)
Base Length: 50
Volume MA Length: 100
Signal Cooldown: 20 bars
Vitality Field Size: 12.0
Longer-term perspective for multi-day moves
Conservative Trading
Minimum Signal Confluence: 85
Minimum Confluence Score: 80
Require all confirmations: True
Higher thresholds for maximum quality
Aggressive Trading
Minimum Signal Confluence: 75
Minimum Confluence Score: 65
Signal Cooldown: 5 bars
Lower thresholds for more opportunities
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
BackTestLibLibrary "BackTestLib"
Allows backtesting indicator performance. Tracks typical metrics such as won/loss, profit factor, draw down, etc. Trading View strategy library provides similar (and more comprehensive)
functionality but only works with strategies. This libary was created to address performance tracking within indicators.
Two primary outputs are generated:
1. Summary Table: Displays overall performance metrics for the indicator over the chart's loaded timeframe and history
2. Details Table: Displays a table of individual trade entries and exits. This table can grow larger than the available chart space. It does have a max number of rows supported. I haven't
found a way to add scroll bars or scroll bar equivalents yet.
f_init(data, _defaultStopLoss, _defaultTakeProfit, _useTrailingStop, _useTraingStopToBreakEven, _trailingStopActivation, _trailingStopOffset)
f_init Initialize the backtest data type. Called prior to using the backtester functions
Parameters:
data (backtesterData) : backtesterData to initialize
_defaultStopLoss (float) : Default trade stop loss to apply
_defaultTakeProfit (float) : Default trade take profit to apply
_useTrailingStop (bool) : Trailing stop enabled
_useTraingStopToBreakEven (bool) : When trailing stop active, trailing stop will increase no further than the entry price
_trailingStopActivation (int) : When trailing stop active, trailing will begin once price exceeds base stop loss by this number of points
_trailingStopOffset (int) : When trailing stop active, it will trail the max price achieved by this number of points
Returns: Initialized data set
f_buildResultStr(_resultType, _price, _resultPoints, _numWins, _pointsWon, _numLoss, _pointsLost)
f_buildResultStr Helper function to construct a string of resutling data for exit tooltip labels
Parameters:
_resultType (string)
_price (float)
_resultPoints (float)
_numWins (int)
_pointsWon (float)
_numLoss (int)
_pointsLost (float)
f_buildResultLabel(data, labelVertical, labelOffset, long)
f_buildResultLabel Helper function to construct an Exit label for display on the chart
Parameters:
data (backtesterData)
labelVertical (bool)
labelOffset (int)
long (bool)
f_updateTrailingStop(_entryPrice, _curPrice, _sl, _tp, trailingStopActivationInput, trailingStopOffsetInput, useTrailingStopToBreakEven)
f_updateTrailingStop Helper function to advance the trailing stop as price action dictates
Parameters:
_entryPrice (float)
_curPrice (float)
_sl (float)
_tp (float)
trailingStopActivationInput (float)
trailingStopOffsetInput (float)
useTrailingStopToBreakEven (bool)
Returns: Updated stop loss for current price action
f_enterShort(data, entryPrice, fixedStopLoss)
f_enterShort Helper function to enter a short and collect data necessary for tracking the trade entry
Parameters:
data (backtesterData)
entryPrice (float)
fixedStopLoss (float)
Returns: Updated backtest data
f_enterLong(data, entryPrice, fixedStopLoss)
f_enterLong Helper function to enter a long and collect data necessary for tracking the trade entry
Parameters:
data (backtesterData)
entryPrice (float)
fixedStopLoss (float)
Returns: Updated backtest data
f_exitTrade(data)
f_enterLong Helper function to exit a trade and update/reset tracking data
Parameters:
data (backtesterData)
Returns: Updated backtest data
f_checkTradeConditionForExit(data, condition, curPrice, enableRealTime)
f_checkTradeConditionForExit Helper function to determine if provided condition indicates an exit
Parameters:
data (backtesterData)
condition (bool) : When true trade will exit
curPrice (float)
enableRealTime (bool) : When true trade will evaluate if barstate is relatime or barstate is confirmed; otherwise just checks on is confirmed
Returns: Updated backtest data
f_checkTrade(data, curPrice, curLow, curHigh, enableRealTime)
f_checkTrade Helper function to determine if current price action dictates stop loss or take profit exit
Parameters:
data (backtesterData)
curPrice (float)
curLow (float)
curHigh (float)
enableRealTime (bool) : When true trade will evaluate if barstate is relatime or barstate is confirmed; otherwise just checks on is confirmed
Returns: Updated backtest data
f_fillCell(_table, _column, _row, _title, _value, _bgcolor, _txtcolor, _text_size)
f_fillCell Helper function to construct result table cells
Parameters:
_table (table)
_column (int)
_row (int)
_title (string)
_value (string)
_bgcolor (color)
_txtcolor (color)
_text_size (string)
Returns: Table cell
f_prepareStatsTable(data, drawTesterSummary, drawTesterDetails, summaryTableTextSize, detailsTableTextSize, displayRowZero, summaryTableLocation, detailsTableLocation)
f_fillCell Helper function to populate result table
Parameters:
data (backtesterData)
drawTesterSummary (bool)
drawTesterDetails (bool)
summaryTableTextSize (string)
detailsTableTextSize (string)
displayRowZero (bool)
summaryTableLocation (string)
detailsTableLocation (string)
Returns: Updated backtest data
backtesterData
backtesterData - container for backtest performance metrics
Fields:
tradesArray (array) : Array of strings with entries for each individual trade and its results
pointsBalance (series float) : Running sum of backtest points won/loss results
drawDown (series float) : Running sum of backtest total draw down points
maxDrawDown (series float) : Running sum of backtest total draw down points
maxRunup (series float) : Running sum of max points won over the backtest
numWins (series int) : Number of wins of current backtes set
numLoss (series int) : Number of losses of current backtes set
pointsWon (series float) : Running sum of points won to date
pointsLost (series float) : Running sum of points lost to date
entrySide (series string) : Current entry long/short
tradeActive (series bool) : Indicates if a trade is currently active
tradeComplete (series bool) : Indicates if a trade just exited (due to stop loss or take profit)
entryPrice (series float) : Current trade entry price
entryTime (series int) : Current trade entry time
sl (series float) : Current trade stop loss
tp (series float) : Current trade take profit
defaultStopLoss (series float) : Default trade stop loss to apply
defaultTakeProfit (series float) : Default trade take profit to apply
useTrailingStop (series bool) : Trailing stop enabled
useTrailingStopToBreakEven (series bool) : When trailing stop active, trailing stop will increase no further than the entry price
trailingStopActivation (series int) : When trailing stop active, trailing will begin once price exceeds base stop loss by this number of points
trailingStopOffset (series int) : When trailing stop active, it will trail the max price achieved by this number of points
resultType (series string) : Current trade won/lost
exitPrice (series float) : Current trade exit price
resultPoints (series float) : Current trade points won/lost
summaryTable (series table) : Table to deisplay summary info
tradesTable (series table) : Table to display per trade info
[Smith] VWAP Deviation + VWAP Deviation +
Short Description:
Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection.
Full Description:
The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis.
🎯 Key Features
Core VWAP Analysis:
- Custom volume-weighted mean calculation with deviation bands (2σ and 3σ)
- Optional log-space scaling for proportional price movements
- Real-time VWAP line with customizable visibility
Smart Signal Detection:
- RSI confirmation for all trade signals
- Volume filter requiring above-average trading activity
- Market regime detection (trending vs ranging markets)
- Optional RSI divergence analysis
Advanced Filtering:
- Multi-condition signal validation
- Session-based performance tracking (Asian, London, NY)
- Real-time win rate calculation
- Strong vs regular signal classification
Visual Features:
- Clean, professional interface with customizable colors
- Optional signal shapes and annotations
- Performance statistics table
- Filled deviation bands for easy visualization
📊 How It Works
The indicator identifies trade opportunities when:
1. Price touches VWAP deviation bands (2σ or 3σ)
2. RSI confirms oversold/overbought conditions
3. Volume exceeds the specified threshold
4. Market regime conditions are favorable
Signal Types:
- LONG : Price at lower bands + RSI oversold + volume confirmation
- SHORT : Price at upper bands + RSI overbought + volume confirmation
- STRONG : Same conditions but at 3σ bands for higher conviction trades
⚙️ Customization Options
Core Settings:
- VWAP length and source selection
- Adjustable deviation multipliers
- Log-space scaling toggle
Signal Filters:
- RSI length and threshold levels
- Volume filter with customizable multiplier
- Market type filtering options
Advanced Features:
- Session statistics tracking
- RSI divergence detection
- Market regime analysis
Visual Controls:
- Show/hide individual components
- Custom color schemes
- Signal display toggles
🔔 Alert System
Built-in alerts for:
- Long and short trade opportunities
- Strong signal confirmations
- RSI divergence signals
💡 Best Practices
- Use higher timeframes (15m+) for more reliable signals
- Combine with additional confirmation indicators
- Pay attention to session statistics for timing optimization
- Monitor market regime indicators for context
This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
