Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Indicador de Momentum (MOM)
Stochastic Momentum Triangles[TheJackrabbit]This code is invite-only and in the experimental phase. Please contact the author if you are interested in testing.
**Stochastic Momentum Triangles ** is a custom indicator designed to integrate multiple dimensions of market momentum into a single, visual framework. Rather than relying on generic oscillators, this tool brings together stochastic calculations, price mapping, velocity measurement, and dynamic visual feedback to offer a layered view of market conditions.
#### Key Features and Components
- **Stochastic Calculations Mapped to Price Levels**
The indicator starts by computing the traditional stochastic oscillator values—%K, %D, and %J—over a user-defined period. These values are then mapped to the current price range. This mapping is achieved via a dedicated function that uses an exponential moving average and a rounding option, thereby linking momentum metrics directly with price dynamics.
- **Momentum Velocity and Its RSI**
To quantify the rate of change, the script calculates a “velocity” by measuring the difference in the price-mapped stochastic values over a specified lookback period. The resulting velocity values are then processed through a Relative Strength Index (RSI) calculation. This additional layer helps to provide a clearer picture of how rapidly market momentum is changing.
- **Triangle Area Measurement as a Volatility Proxy**
For each of the K, D, and J series, the indicator identifies the highest and lowest values within a user-specified lookback window and constructs triangles by connecting these extremes with the current value. The area of these triangles is computed, serving as an abstract measure of volatility and the range of price momentum. These areas are displayed alongside the velocity readings in an on-chart table for easy reference.
- **Dynamic Interpretation Label**
The tool also generates a concise reading in English that summarizes the relationships among the areas and velocity values. For example, it notes when one series, such as J, exhibits both the largest triangle area and the highest velocity. In such cases—suggesting an extended move or potential overextension—the label’s text color changes (to red) to visually alert the trader to an increased likelihood of a reversal. This approach allows traders to quickly assimilate the indicator’s data without overwhelming them with subjective language.
- **Additional Visual Elements**
Beyond the core calculations, the indicator includes a “momentum box” that captures the range of the stochastic-derived values over recent bars, as well as radial lines that provide a visual connection from the box’s reference point to current values. These elements together offer a structured, multi-faceted view of market dynamics.
#### Significance and Effects
This indicator takes a measured approach to integrating multiple aspects of market analysis. By combining price-based mapping with traditional stochastic and momentum measurements, it provides traders with:
- **A structured framework** to assess market range and momentum changes.
- **Visual cues** (such as the dynamic label and color changes) that highlight conditions warranting closer attention.
- **Tangible, calculated metrics**—triangle areas and velocity RSIs—that may assist in identifying potential reversal points.
Stochastic Momentum Triangles is intended to serve as a supplementary tool for traders who appreciate a quantitative perspective on market behavior. Its design focuses on clear, measurable outputs rather than relying on broad claims, allowing for a calm and thoughtful evaluation of market conditions.
Enhanced Order Flow Pressure GaugeShort Description:
Estimates bullish/bearish pressure by analyzing each candle’s close position within its range, then weighting that by volume. Detects potential trend shifts and provides real-time signals.
Full Description:
1. Purpose
The Enhanced Order Flow Pressure Gauge (OFPG+) is designed to approximate buy vs. sell pressure within each bar, even if you don’t have full Level II / order flow data. By measuring the candle’s close relative to its high-low range and multiplying by volume, OFPG+ provides insights into which side of the market (bulls or bears) is more aggressive in a given interval.
2. Key Components
Pressure Score (Histogram):
Raw measure of each bar’s close position (rangePos) minus midpoint, multiplied by volume. If the bar closes near its high with decent volume, the score is positive (bullish). Conversely, a close near its low yields a negative (bearish) reading.
Cumulative Pressure:
Sum of all pressure readings over time (similar to cumulative delta), reflecting the overall market bias.
Pressure Delta:
The change in cumulative pressure from one bar to the next, plotted as a line. Rising values suggest increasing bullish momentum, while falling values show growing bearish influence.
3. Visual Cues & Signals
Histogram (Pressure Profile): A color-coded bar for each candle, indicating net bullish (blue) or bearish (gray) intrabar pressure.
Pressure Delta Line: Plotted over the histogram. Turns bullish (blue) when net buy pressure is increasing, or bearish (gray) when net selling accelerates.
Background Highlights:
Turns lightly blue if the smoothed pressure line exceeds the positive threshold, or lightly gray if it goes below the negative threshold.
Bullish / Bearish Signals:
Bullish Signal occurs when the smoothed pressure line crosses above the positive threshold, combined with a positive Delta.
Bearish Signal occurs when the smoothed pressure line crosses below the negative threshold, combined with a negative Delta.
Confirmed Signals:
After a bullish/bearish signal, OFPG+ checks the highest or lowest smoothed pressure values over a user-defined number of bars (signalLookback) to confirm momentum.
Plotshapes (diamond icons) appear on the chart to mark these confirmed reversals.
4. Usage Scenarios
Trend-Following / Momentum: Watch for transitions from negative to positive net pressure or vice versa. Helps identify potential turning points.
Reversal Confirmation: The threshold-based signals plus the “confirmed” checks can help filter choppy conditions.
Volume-Weighted Insights: By factoring in volume, strong closes near the highs or lows are weighted more heavily, capturing sentiment shifts.
5. Inputs & Parameters
Smoothing Length (length): The EMA period for smoothing the raw pressure score.
Volume Weight (volWeight): Scales the volume impact on pressure calculations.
Pressure Threshold (threshold): Defines when pressure is considered significantly bullish or bearish.
Signal Lookback (signalLookback): Number of bars to confirm momentum after a signal.
6. Alerts
Bullish Signal & Confirmed Bullish
Bearish Signal & Confirmed Bearish
These alerts can notify you in real-time about potential shifts in the market’s buying or selling pressure.
7. Disclaimer
This script provides an approximation of order flow by analyzing candle structure and volume. It does not represent actual exchange-level order data.
Past performance is not necessarily indicative of future results. Always conduct thorough analysis and use proper risk management.
Not financial advice. Use at your own discretion.
WaveTrend Divergences, Candle Colouring and TP Signal [LuciTech]WaveTrend is a momentum-based oscillator designed to track trend strength, detect divergences, and highlight potential take-profit zones using Bollinger Bands. It provides a clear visualization of market conditions to help traders identify trend shifts and exhaustion points.
The WaveTrend Oscillator consists of a smoothed momentum line (WT Line) and a signal line, which work together to indicate trend direction and possible reversals. When the WT Line crosses above the signal line, it suggests bullish momentum, while crossing below signals bearish momentum.
Candle colouring changes dynamically based on WaveTrend crossovers. If the WT Line crosses above the signal line, candles turn bullish. If the WT Line crosses below the signal line, candles turn bearish. This provides an immediate visual cue for trend direction.
Divergence Detection identifies when price action contradicts the WaveTrend movement.
Bullish Divergence appears when price makes a lower low, but the WT Line forms a higher low, suggesting weakening bearish pressure.
Bearish Divergence appears when price makes a higher high, but the WT Line forms a lower high, indicating weakening bullish pressure.
Plus (+) Divergences are stronger signals that occur when the first pivot of the divergence happens at an extreme level—above +60 for bearish divergence or below -60 for bullish divergence. These levels suggest the market is overbought or oversold, making the divergence more significant.
Bollinger Band Signals highlight potential take-profit zones by detecting when the WT Line moves beyond its upper or lower Bollinger Band.
If the WT Line crosses above the upper band, it signals stretched bullish momentum, suggesting a possible pullback or reversal.
If the WT Line crosses below the lower band, it indicates stretched bearish momentum, warning of a potential bounce.
How It Works
The WaveTrend momentum calculation is based on an EMA-smoothed moving average to filter out noise and provide a more reliable trend indication.
The WT Line (momentum line) fluctuates based on market momentum.
The signal line smooths out the WT Line to help identify trend shifts.
When the WT Line crosses above the signal line, it suggests buying pressure, and when it crosses below, it indicates selling pressure.
Divergences are detected by comparing pivot highs and lows in price with pivot highs and lows in the WT Line.
A pivot forms when a local high or low is confirmed after a certain number of bars.
The indicator tracks whether price action and the WT Line are making opposite movements.
If a divergence occurs and the first pivot was beyond ±60, it is marked as a Plus Divergence, making it a stronger reversal signal.
Bollinger Bands are applied directly to the WT Line instead of price, identifying when the WT Line moves outside its volatility range. This helps traders recognize when momentum is overstretched and a potential reversal or retracement is likely.
Settings
Channel Length (default: 8) controls the period used to calculate the WT Line.
Average Length (default: 16) smooths the WT Line for better trend detection.
Divergences (on/off) enables or disables divergence plotting.
Candle colouring (on/off) applies or removes trend-based candle colour changes.
Bollinger Band Signals (on/off) toggles take-profit signals when the WT Line crosses the bands.
Bullish/Bearish colours allow customization of divergence and signal colours.
Interpretation
The WaveTrend Oscillator helps traders assess market momentum and trend strength.
Crossovers between the WT Line and signal line indicate potential trend reversals.
Divergences warn of weakening momentum and possible reversals, with Plus Divergences acting as stronger signals.
Bollinger Band Crosses highlight areas where momentum is overstretched, signaling potential profit-taking opportunities.
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Balance Price Range (BPR) IndicatorOverview
The BPR with Directional Momentum-Filtered Breakouts indicator is designed to identify Balanced Price Ranges (BPR) and d etect high-probability breakouts and breakdowns with directional momentum confirmation . By leveraging historical BPR structures, EMA-based momentum filtering , and a trade cooldown mechanism , this script provides a structured approach to identifying potential trading opportunities while reducing false signals.
This invite-only indicator is ideal for traders who seek precise breakout confirmation, reduced noise, and trend-following logic while maintaining flexibility through adjustable parameters.
How It Works
The script follows a multi-step breakout detection process by integrating multiple key technical components:
1. Balanced Price Range (BPR) Detection:
• A Balanced Candle is identified when the price remains within a specific percentage of its range midpoint.
• These BPR zones represent areas of equilibrium , where a breakout or breakdown is likely to occur.
• The script historically tracks BPR levels across the entire chart to monitor price action around key areas.
2. Momentum-Filtered Breakout & Breakdown Logic:
• Bullish Breakout: Occurs when the price breaks above the historical BPR high with bullish momentum.
• Bearish Breakdown: Occurs when the price breaks below the historical BPR low with bearish momentum.
• Momentum Confirmation: Each breakout requires a strong directional move, measured against the Exponential Moving Average (EMA) .
• Only confirmed breakouts are marked, reducing the likelihood of false signals in choppy markets.
3. Candle-Based Background Visualization:
• Grey Background: Represents a Balanced Price Range (BPR), indicating potential breakout zones.
• Green Background: Indicates a Bullish Breakout when the price successfully breaks and holds above the BPR high.
• Red Background: Indicates a Bearish Breakdown when the price drops below the BPR low.
4. Trade Cooldown Mechanism:
• Prevents consecutive signals from triggering too frequently.
• Default cooldown period: 5 bars (adjustable).
• Ensures that trades are not clustered, improving signal quality.
5. EMA for Trend Direction & Confirmation:
• A 20-period EMA (default, adjustable) is used to confirm trade direction.
• Breakouts above the EMA align with uptrend continuation.
• Breakdowns below the EMA align with downtrend momentum.
Key Features
✔️ Historical BPR Detection – Tracks past BPR levels across the entire chart for structured breakout zones.
✔️ Momentum-Based Breakouts – Ensures breakouts are confirmed by directional price movement before generating signals.
✔️ Candle-Based Background Logic – Subtle candle highlights rather than full background fills, for better chart clarity.
✔️ Trade Cooldown Period – Prevents consecutive buy/sell signals within a defined period, improving signal efficiency.
✔️ Dynamic EMA Confirmation – Ensures trades align with the overall trend, reducing counter-trend trades.
✔️ Customizable Inputs – Adjust breakout thresholds, EMA length, and cooldown periods as per trading style.
✔️ Works Across Multiple Timeframes – Can be applied to intraday, swing, and positional trading strategies.
How to Use
1. Look for Balanced Price Ranges ( BPR )
• These zones highlight equilibrium areas where price is likely to break out.
• Grey-shaded candles indicate potential breakout zones.
2. Monitor for Bullish or Bearish Breakouts
• A green candle background signals a bullish breakout above BPR.
• A red candle background signals a bearish breakdown below BPR.
• The EMA filter helps confirm whether the breakout aligns with the prevailing trend.
3. Follow the Cooldown Logic
• After a breakout signal, wait for the cooldown period before another trade is allowed.
• This helps filter out noisy price action and prevents excessive trading.
4. Use Alongside Other Indicators
• Works well with volume analysis, support/resistance levels, and price action strategies.
• Can be combined with other momentum indicators for further trade confirmation.
Why This Combination?
Unlike generic breakout indicators, this script uniquely combines:
• BPR historical structures for defining potential breakout zones.
• Momentum-based breakout filtering using EMA confirmation.
• Trade cooldown logic to avoid excessive trading signals.
• Subtle candle-based highlights instead of cluttered full-background fills.
This structured approach makes the indicator more robust, adaptive, and reliable in different market conditions.
Why It’s Worth Using?
🔹 Avoid False Breakouts: Built-in momentum confirmation prevents weak or fake breakouts.
🔹 Clean Visualization: No excessive overlays—just precise, meaningful background coloring for breakouts.
🔹 Works in Any Market: Use on stocks, crypto, forex, indices, and commodities across different timeframes.
🔹 User-Friendly & Customizable: Fine-tune parameters to match individual trading styles.
⚠️ Note: This is an Invite-Only script. Access is granted to selected users.
✅ If you find it useful, consider incorporating it into your trend-following & breakout trading strategies.
🚀 Optimize your trading with structured breakout detection! 🚀
SuperTrend AI Oscillator StrategySuperTrend AI Oscillator Strategy
Overview
This strategy is a trend-following approach that combines the SuperTrend indicator with oscillator-based filtering.
By identifying market trends while utilizing oscillator-based momentum analysis, it aims to improve entry precision.
Additionally, it incorporates a trailing stop to strengthen risk management while maximizing profits.
This strategy can be applied to various markets, including Forex, Crypto, and Stocks, as well as different timeframes. However, its effectiveness varies depending on market conditions, so thorough testing is required.
Features
1️⃣ Trend Identification Using SuperTrend
The SuperTrend indicator (a volatility-adjusted trend indicator based on ATR) is used to determine trend direction.
A long entry is considered when SuperTrend turns bullish.
A short entry is considered when SuperTrend turns bearish.
The goal is to capture clear trend reversals and avoid unnecessary trades in ranging markets.
2️⃣ Entry Filtering with an Oscillator
The Super Oscillator is used to filter entry signals.
If the oscillator exceeds 50, it strengthens long entries (indicating strong bullish momentum).
If the oscillator drops below 50, it strengthens short entries (indicating strong bearish momentum).
This filter helps reduce trades in uncertain market conditions and improves entry accuracy.
3️⃣ Risk Management with a Trailing Stop
Instead of a fixed stop loss, a SuperTrend-based trailing stop is implemented.
The stop level adjusts automatically based on market volatility.
This allows profits to run while managing downside risk effectively.
4️⃣ Adjustable Risk-Reward Ratio
The default risk-reward ratio is set at 1:2.
Example: A 1% stop loss corresponds to a 2% take profit target.
The ratio can be customized according to the trader’s risk tolerance.
5️⃣ Clear Trade Signals & Visual Support
Green "BUY" labels indicate long entry signals.
Red "SELL" labels indicate short entry signals.
The Super Oscillator is plotted in a separate subwindow to visually assess trend strength.
A real-time trailing stop is displayed to support exit strategies.
These visual aids make it easier to identify entry and exit points.
Trading Parameters & Considerations
Initial Account Balance: Default is $7,000 (adjustable).
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 1,032
Visual Aids for Clarity
This strategy includes clear visual trade signals to enhance decision-making:
Green "BUY" labels for long entries
Red "SELL" labels for short entries
Super Oscillator plotted in a subwindow with a 50 midline
Dynamic trailing stop displayed for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Important Notes
This strategy does not guarantee profits—performance varies based on market conditions.
Past performance does not guarantee future results. Markets are constantly changing.
Always test extensively with backtesting and demo trading before using it in live markets.
Risk management, position sizing, and market conditions should always be considered when trading.
Conclusion
This strategy combines trend analysis with momentum filtering, enhancing risk management in trading.
By following market trends carefully, making precise entries, and using trailing stops, it seeks to reduce risk while maximizing potential profits.
Before using this strategy, be sure to test it thoroughly via backtesting and demo trading, and adjust the settings to match your trading style.
Squeeze Momentum Indicator Strategy [LazyBear + PineIndicators]The Squeeze Momentum Indicator Strategy (SQZMOM_LB Strategy) is an automated trading strategy based on the Squeeze Momentum Indicator developed by LazyBear, which itself is a modification of John Carter's "TTM Squeeze" concept from his book Mastering the Trade (Chapter 11). This strategy is designed to identify low-volatility phases in the market, which often precede explosive price movements, and to enter trades in the direction of the prevailing momentum.
Concept & Indicator Breakdown
The strategy employs a combination of Bollinger Bands (BB) and Keltner Channels (KC) to detect market squeezes:
Squeeze Condition:
When Bollinger Bands are inside the Keltner Channels (Black Crosses), volatility is low, signaling a potential upcoming price breakout.
When Bollinger Bands move outside Keltner Channels (Gray Crosses), the squeeze is released, indicating an expansion in volatility.
Momentum Calculation:
A linear regression-based momentum value is used instead of traditional momentum indicators.
The momentum histogram is color-coded to show strength and direction:
Lime/Green: Increasing bullish momentum
Red/Maroon: Increasing bearish momentum
Signal Colors:
Black: Market is in a squeeze (low volatility).
Gray: Squeeze is released, and volatility is expanding.
Blue: No squeeze condition is present.
Strategy Logic
The script uses historical volatility conditions and momentum trends to generate buy/sell signals and manage positions.
1. Entry Conditions
Long Position (Buy)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is increasing and positive.
The momentum is at a local low compared to the past 100 bars.
The price is above the 100-period EMA.
The closing price is higher than the previous close.
Short Position (Sell)
The squeeze just released (Gray Cross after Black Cross).
The momentum value is decreasing and negative.
The momentum is at a local high compared to the past 100 bars.
The price is below the 100-period EMA.
The closing price is lower than the previous close.
2. Exit Conditions
Long Exit:
The momentum value starts decreasing (momentum lower than previous bar).
Short Exit:
The momentum value starts increasing (momentum higher than previous bar).
Position Sizing
Position size is dynamically adjusted based on 8% of strategy equity, divided by the current closing price, ensuring risk-adjusted trade sizes.
How to Use This Strategy
Apply on Suitable Markets:
Best for stocks, indices, and forex pairs with momentum-driven price action.
Works on multiple timeframes but is most effective on higher timeframes (1H, 4H, Daily).
Confirm Entries with Additional Indicators:
The author recommends ADX or WaveTrend to refine entries and avoid false signals.
Risk Management:
Since the strategy dynamically sizes positions, it's advised to use stop-losses or risk-based exits to avoid excessive drawdowns.
Final Thoughts
The Squeeze Momentum Indicator Strategy provides a systematic approach to trading volatility expansions, leveraging the classic TTM Squeeze principles with a unique linear regression-based momentum calculation. Originally inspired by John Carter’s method, LazyBear's version and this strategy offer a refined, adaptable tool for traders looking to capitalize on market momentum shifts.
Power Play Signal Indicator [Masky18]Power Play Signal Indicator
The Power Play Signal Indicator is a sophisticated custom trading strategy designed to identify high-probability breakout and breakdown opportunities by combining consolidation detection, trend alignment, volume analysis, and relative strength ranking. Unlike simple mashups of existing indicators, this script integrates multiple technical concepts into a cohesive strategy that helps traders capitalize on market momentum with precision.
What Makes This Indicator Unique?
The PowerPlay Signal Indicator is not just a combination of existing indicators; it is a custom-built strategy that uses original logic to filter out low-probability setups and focus on high-quality trading opportunities. Here’s how it works:
Consolidation Detection:
The script identifies consolidation zones by analyzing price action over a user-defined period (default: 6 bars). It calculates the high, low, and midpoint of the consolidation range and ensures the price stays within a specified percentage range (default: 13%).
Consolidations are classified as Tight, Loose, or Okay, helping traders gauge the strength of the potential breakout or breakdown.
Breakout & Breakdown Logic:
Breakouts and breakdowns are confirmed using a combination of:
Price Action: The script checks if the price closes above the consolidation high (breakout) or below the consolidation low (breakdown).
Volume Analysis: A significant volume spike (default: 20% increase) is required to confirm the move.
MACD & Moving Averages: The script uses MACD and moving averages (50-day and 200-day) to ensure the breakout/breakdown aligns with the prevailing trend.
Trend Alignment:
The script ensures trades are aligned with the long-term trend by using:
50-day SMA and 200-day SMA to confirm uptrends or downtrends.
150-day SMA as an additional filter to ensure the trend is strong.
52-week high/low conditions to ensure the price is in a favorable position relative to its historical range.
Relative Strength Ranking:
The script compares the asset’s performance against a benchmark asset (e.g., SPY) to ensure it is outperforming the market. This is done using a customizable Relative Strength (RS) Threshold (default: 70).
Golden Candle Signals:
For high-probability setups, the script identifies Golden Candles—strong breakout or breakdown candles with:
Large price movement (default: 7.5% to 12.5% candle size).
High volume (default: 2x the average consolidation volume).
Alignment with MACD and moving averages.
Risk Management:
The script provides stop loss, trailing stop, and take profit levels based on:
ATR (Average True Range): Dynamic stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing Stop Percentage: User-defined trailing stop (default: 2%).
Take Profit Percentage: User-defined take profit (default: 5%).
Performance Tracking:
The script includes a Performance Table that tracks:
Total breakouts and breakdowns.
Successful and failed trades.
Win rates for breakouts and breakdowns.
Golden candle signals.
How Does It Work?
The PowerPlay Signal Indicator combines the following key components to generate signals:
Consolidation Detection:
The script calculates the high, low, and midpoint of the consolidation range over a user-defined period.
It ensures the price stays within a specified percentage range (default: 13%) to confirm consolidation.
Breakout/Breakdown Confirmation:
A breakout is confirmed when:
The price closes above the consolidation high.
Volume increases by at least 20%.
MACD is positive and above the signal line.
The price is above the 50-day and 200-day SMAs.
A breakdown is confirmed when:
The price closes below the consolidation low.
Volume increases by at least 20%.
MACD is negative and below the signal line.
The price is below the 50-day and 200-day SMAs.
Golden Candle Signals:
Golden Candles are identified when:
The candle size is between 7.5% and 12.5%.
Volume is at least 2x the average consolidation volume.
The candle aligns with the prevailing trend and MACD.
Risk Management:
Stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing stop and take profit levels are based on user-defined percentages.
How to Use the Indicator
Input Parameters:
Consolidation Periods: Set the number of bars to analyze for consolidation (default: 6).
Maximum Consolidation Range: Define the maximum percentage range for consolidation (default: 13%).
Stop Loss Factor: Adjust the stop loss multiplier based on the midpoint of the consolidation range (default: 0.985).
RS Threshold: Set the relative strength threshold for trend alignment (default: 70).
Comparison Asset: Enable comparison with a benchmark asset (e.g., SPY) to ensure the asset is outperforming the market.
Trailing Stop Percentage: Set the trailing stop percentage (default: 2%).
Take Profit Percentage: Set the take profit percentage (default: 5%).
Time Exit Bars: Define the maximum number of bars to hold a trade (default: 10).
Interpreting Signals:
Breakout Signal: A green label ("BO") appears when a breakout is detected.
Breakdown Signal: A red label ("BD") appears when a breakdown is detected.
Golden Candle Signal: A gold medal icon (🥇) appears for high-probability setups.
Performance Table:
The performance table displays the number of trades, successful trades, failed trades, and win rates for breakouts and breakdowns.
Alerts:
Enable alerts for breakouts, breakdowns, and golden candles to stay informed about potential trading opportunities.
Why Choose the PowerPlay Signal Indicator?
Original Logic: Combines consolidation detection, trend alignment, volume analysis, and relative strength ranking into a unique strategy.
High-Probability Signals: Focuses on high-quality setups with strong volume and trend alignment.
Risk Management: Built-in stop loss, trailing stop, and take profit options help you manage risk effectively.
Performance Tracking: Tracks trade outcomes and win rates to help you refine your strategy.
Customizable: Fully adjustable inputs allow you to adapt the indicator to your trading style and market conditions.
Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
Multi Asset & TF Stochastic
Multi Asset & TF Stochastic
This indicator allows you to compare the stochastic oscillator values of two different assets across multiple timeframes in a single pane. It’s designed for traders who want to analyse the momentum of one asset (by default, the chart’s asset) alongside a second asset of your choice (e.g., comparing EURUSD to the USD Index).
How It Works:
Main Asset:
The indicator automatically uses the chart’s asset for the primary stochastic calculation. You have the option to adjust the timeframe for this asset using a dropdown that includes TradingView’s standard timeframes, a "Chart" option (which automatically uses your chart’s timeframe), or a "Custom" option where you can type in any timeframe.
Second Asset:
You can enable the display of a second asset by toggling the “Display Second Asset” option. Choose the asset symbol (default is “DXY”) and select its timeframe from an identical dropdown. When enabled, the script calculates the stochastic oscillator for the second asset, allowing you to compare its momentum (%K and %D lines) with that of the main asset.
Stochastic Oscillator Settings:
Customize the %K length, the smoothing period for %K, and the smoothing period for %D. Both assets’ stochastic values are calculated using these parameters.
Visual Display:
The indicator plots the %K and %D lines for the main asset in prominent colours. If the second asset is enabled, its %K and %D lines are also plotted in different colours. Additionally, overbought (80) and oversold (20) levels are marked, with a midline at 50, making it easier to gauge market conditions at a glance.
%D line can be toggled off for a cleaner view if required:
Asset Information Table:
A table at the top-centre of the pane displays the active asset symbols—ensuring you always know which assets are being analysed.
How to Use:
Apply the Indicator:
Add the script to your chart. By default, it will use the chart’s current asset and timeframe for the primary stochastic oscillator.
Adjust the Main Asset Settings:
Use the “Main Asset Timeframe” dropdown to select a specific timeframe for the main asset or stick with the “Chart” option for automatic syncing with your current chart.
Enable and Configure the Second Asset (Optional):
Toggle on “Display Second Asset” if you wish to compare another asset. Select the desired symbol and adjust its timeframe using the provided dropdown. Choose “Custom” if you need a timeframe not listed by default.
Review the Plots and Table:
Observe the stochastic %K and %D lines for each asset. The overbought/oversold levels help indicate potential market turning points. Check the table at the top-centre to confirm the asset symbols being displayed.
This versatile tool is ideal for traders who rely on momentum analysis and need to quickly compare the stochastic signals of different markets or instruments. Enjoy seamless multi-asset analysis with complete control over your timeframe settings!
Pay Attention CandleThis is an attempt to detect the so called Pay Attention Candles from RexDog Trading System (RDTS). (They are not clearly defined by any specific set in stone rule, so this is just my interpretation)
You can turn on and off the bar highlight/triangles if chart gets too busy and you want only one of the indication types.
The way this is defined as evident in the code is - it looks at the candle size (without the wicks!!! only open to close) to decide whether it is larger than ATR mutlipied by a multiplier (1.5 by default here - you can adjust)
ATR period can also be adjusted but it's set to 9 by default.
Enjoy.
NLS - 52W High Screener (3, 5, 7 Days)This indicator automatically detects stocks that have reached a new 52-week high within the last 3, 5, or 7 days. Perfect for traders looking for breakouts and strong momentum stocks!
📊 Features:
✅ Identifies new 52-week highs within the last 3, 5, or 7 days
✅ Fully Screener-compatible – Easily filter stocks in the TradingView Screener
✅ Plots the 52-week high as a blue line in the chart for better visualization
✅ Built-in alerts to notify you when a new 52W high is reached
✅ Optimized for the 1D (daily) timeframe
🛠️ How to Use in the Screener:
1️⃣ Add & activate the indicator
2️⃣ Open the TradingView Screener
3️⃣ Filter using one of these columns:
Screener 52W High Last 3 Days
Screener 52W High Last 5 Days
Screener 52W High Last 7 Days
4️⃣ Set the filter to "is true" to see relevant stocks
📢 Alerts:
Get notified when a stock reaches a new 52-week high in the last 3, 5, or 7 days!
🔍 Ideal for:
✔ Trend-following & breakout traders 🚀
✔ Swing traders looking for strong stocks 📈
✔ Screener users searching for momentum setups
TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
ZenAlgo - QZenAlgo - Q
Description
ZenAlgo - Q is an oscillator based on the QQE (Quantitative Qualitative Estimation) method. This version incorporates refinements for additional visualization and interpretation options. It is designed to help traders observe momentum changes and divergence patterns in price movements.
Key Features
QQE-Based Calculation : Derived from the open-source QQE script by Glaz (Metastock Version of QQE), with modifications for alternative visualization.
Dual RSI-Based Analysis : Uses two RSI calculations to provide additional context on price movements.
Adaptive Trend Bands : Adjust dynamically based on the market conditions.
Divergence Identification : Highlights potential differences between price action and oscillator movement.
Dynamic Color Coding : Displays histogram bars to illustrate shifts in oscillator values.
Configurable Alerts : Enables notifications for specific oscillator conditions.
How It Works
The indicator calculates a smoothed RSI-based oscillator that tracks the relative strength of price movement. It applies an exponential moving average (EMA) smoothing to reduce noise while maintaining responsiveness.
Two adaptive bands are calculated using a variation of the QQE method, which helps define dynamic overbought and oversold conditions.
The histogram bars shift in color based on the position of the oscillator relative to the bands. Lighter shades indicate weaker momentum, while stronger momentum is represented by more saturated colors.
The script also includes a secondary RSI component, which provides an additional layer of analysis. This secondary RSI helps refine momentum trends by smoothing out short-term fluctuations.
Divergence identification is built-in, highlighting where price action deviates from oscillator readings. Bullish divergence occurs when price forms a lower low while the oscillator forms a higher low, and bearish divergence is identified when price forms a higher high while the oscillator forms a lower high.
The indicator does not generate buy or sell signals but instead provides contextual information that can be used alongside other trading strategies.
Use Cases
Trend Observation : Traders can use the histogram to observe whether momentum is strengthening or weakening over time. A shift in color can indicate a potential change in trend strength.
Divergence Analysis : By comparing oscillator divergence with price movement, traders can identify situations where price action may be losing momentum. Divergences do not guarantee reversals but can serve as an early warning to re-evaluate positions.
Momentum Tracking : The dual RSI structure allows users to monitor both short-term and long-term momentum. When both RSI components are aligned, it suggests a more stable trend, while divergence between them may indicate potential consolidation or trend shifts.
Supplementary Analysis : This indicator is best used as a supporting tool alongside volume-based or trend-following indicators. It helps visualize underlying price behavior but should not be used in isolation for decision-making.
Market Context Interpretation : The combination of adaptive bands and histogram visualization allows traders to assess how recent price action compares to historical movement, helping to place current conditions in a broader market context.
Attribution
This script is an adaptation of the open-source QQE script originally developed by Glaz. We acknowledge and appreciate the original author's work, which served as a foundation for our modifications.
Disclaimer
This indicator is intended for informational purposes only. It should not be interpreted as financial advice. Always conduct independent research and risk management before making trading decisions.
Squeeze Momentum Indicator with Entry Tactics### **Squeeze Momentum Indicator with Stacked EMAs**
#### **Description:**
This indicator is an enhanced version of the **Squeeze Momentum Indicator** (originally by John Carter and later modified by LazyBear). It identifies **periods of consolidation (squeeze)** and signals potential **explosive price moves** when momentum shifts. The added **stacked EMA concept** further refines entry signals by confirming trend strength. This is also an update to version 6 of PineScript
#### **How to Use:**
The indicator provides **three different entry tactics**, allowing traders to choose signals based on their strategy:
1. **Inside Day Pattern** – Detects inside candles, which indicate potential breakouts when volatility contracts.
2. **Consecutive Black Crosses (Squeeze Signal)** – A certain number of black crosses (low volatility periods) suggests a strong move is coming.
3. **Stacked EMA Concept** – When the **8 EMA > 21 EMA > 34 EMA**, combined with a momentum shift from negative to positive, it signals a **high-probability bullish entry**.
#### **Visual Cues:**
- **Histogram Bars**: Show momentum (green for increasing bullish, red for increasing bearish).
- **Black & Gray Dots**: Represent different squeeze states (low volatility vs. breakout conditions).
- **🔥 Bullish Label**: Appears when the stacked EMAs align and momentum shifts from negative to positive.
#### **Best Practices:**
- Look for **momentum shifts during a squeeze** for high-probability trades.
- Use **stacked EMAs as trend confirmation** before entering.
- Combine with **price action and volume analysis** for additional confluence.
This indicator helps traders **anticipate major price moves** rather than react, making it a powerful tool for trend-following and breakout strategies. 🚀
TradFi Fundamentals: Momentum Trading with Macroeconomic DataIntroduction
This indicator combines traditional price momentum with key macroeconomic data. By retrieving GDP, inflation, unemployment, and interest rates using security calls, the script automatically adapts to the latest economic data. The goal is to blend technical analysis with fundamental insights to generate a more robust momentum signal.
Original Research Paper by Mohit Apte, B. Tech Scholar, Department of Computer Science and Engineering, COEP Technological University, Pune, India
Link to paper
Explanation
Price Momentum Calculation:
The indicator computes price momentum as the percentage change in price over a configurable lookback period (default is 50 days). This raw momentum is then normalized using a rolling simple moving average and standard deviation over a defined period (default 200 days) to ensure comparability with the economic indicators.
Fetching and Normalizing Economic Data:
Instead of manually inputting economic values, the script uses TradingView’s security function to retrieve:
GDP from ticker "GDP"
Inflation (CPI) from ticker "USCCPI"
Unemployment rate from ticker "UNRATE"
Interest rates from ticker "USINTR"
Each series is normalized over a configurable normalization period (default 200 days) by subtracting its moving average and dividing by its standard deviation. This standardization converts each economic indicator into a z-score for direct integration into the momentum score.
Combined Momentum Score:
The normalized price momentum and economic indicators are each multiplied by user-defined weights (default: 50% price momentum, 20% GDP, and 10% each for inflation, unemployment, and interest rates). The weighted components are then summed to form a comprehensive momentum score. A horizontal zero line is plotted for reference.
Trading Signals:
Buy signals are generated when the combined momentum score crosses above zero, and sell signals occur when it crosses below zero. Visual markers are added to the chart to assist with trade timing, and alert conditions are provided for automated notifications.
Settings
Price Momentum Lookback: Defines the period (in days) used to compute the raw price momentum.
Normalization Period for Price Momentum: Sets the window over which the price momentum is normalized.
Normalization Period for Economic Data: Sets the window over which each macroeconomic series is normalized.
Weights: Adjust the influence of each component (price momentum, GDP, inflation, unemployment, and interest rate) on the overall momentum score.
Conclusion
This implementation leverages TradingView’s economic data feeds to integrate real-time macroeconomic data into a momentum trading strategy. By normalizing and weighting both technical and economic inputs, the indicator offers traders a more holistic view of market conditions. The enhanced momentum signal provides additional context to traditional momentum analysis, potentially leading to more informed trading decisions and improved risk management.
The next script I release will be an improved version of this that I have added my own flavor to, improving the signals.
Advanced Averaged Momentum Indicator (AAMI)Key Features of AAMI:
Combination of Momentum Indicators: It averages normalized values from RSI, MACD histogram, raw Momentum, and Stochastic oscillator to give a comprehensive view of momentum.
Normalization: Each component is normalized to a scale from -1 to 1 to ensure they contribute equally to the AMI calculation.
Visual Cues: The indicator includes visual levels for neutral, overbought, and oversold conditions to aid in quick decision-making.
Alerts: Basic alert conditions are included for when AMI moves into overbought or oversold territory, which traders can customize further.
Customizable: All parameters can be adjusted within TradingView to tailor the indicator to different market conditions or trading strategies.
Smoothing: Included an SMA for AMI to reduce noise and give smoother signals.
Divergence Detection: Implemented a basic divergence detection mechanism to spot potential reversals.
Usage Tips:
Overbought/Oversold: When AMI goes above 0.7, it might suggest an overbought condition, potentially signaling a sell or take profit. Below -0.7 might indicate oversold conditions, suggesting a buy opportunity.
Divergence: Watch for divergences between the AMI and price action for signals of potential trend reversals.
Crossing Zero: The AMI crossing from negative to positive might be used as a buy signal, and vice versa for a sell signal.
This script provides a new way to view momentum by consolidating multiple traditional indicators into one, potentially offering clearer signals in complex market environments.
Dynamic RSI Price Levels (Multi-Timeframe)This indicator dynamically calculates the nearest price levels where RSI (14) reaches 70 (Overbought) and 30 (Oversold) across multiple timeframes. It helps traders identify potential reversal zones and key support/resistance levels based on RSI behavior.
📌 Key Features:
✔ Multi-Timeframe Support: Calculates RSI-based price levels across 1min to 1M (monthly) timeframes.
✔ Dynamic Overbought (OB) & Oversold (OS) Levels: Automatically finds the nearest price where RSI = 70 (OB) and RSI = 30 (OS).
✔ Customizable RSI Settings: Users can adjust RSI length for more flexibility.
✔ Customizable Display: Adjustable line style, thickness, and colors for OB/OS levels.
✔ Clear Labels: Displays RSI timeframe and level directly on the chart.
🛠 How to Use:
Enable preferred timeframes and set RSI parameters.
The script will plot the closest OB (RSI 70) and OS (RSI 30) price levels automatically.
Labels show the timeframe and RSI level for better clarity.
⚠ Note:
For technical analysis only, not financial advice.
Too many enabled timeframes may clutter the chart—enable only needed ones.
🚀 Perfect for:
✔ Identifying Overbought & Oversold Zones
✔ Tracking RSI-Based Support & Resistance Levels
✔ Analyzing Market Conditions Across Timeframes
SatoshiSteps Swing StrategyCore Components:
The indicator combines three popular technical analysis tools:
Ichimoku Cloud: This helps identify the trend, support, and resistance levels.
RSI (Relative Strength Index): This momentum oscillator identifies overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): This trend-following momentum indicator shows the relationship between two moving averages1 of prices.
Logic:
The strategy aims to identify potential swing trading opportunities by combining signals from these three components. It essentially looks for:
Trend Confirmation (Ichimoku):
Price should be above the Ichimoku cloud for buy signals.
Price should be below the Ichimoku cloud for sell signals.
The Tenkan-sen (conversion line) should cross above the Kijun-sen (base line) for buy signals.
The Tenkan-sen should cross below the Kijun-sen for sell signals.
Overbought/Oversold Conditions (RSI):
RSI should be below the overbought level for buy signals (avoiding buying when the market is potentially overextended).
RSI should be above the oversold level for sell signals (avoiding selling when the market is potentially oversold).
Momentum Confirmation (MACD):
The MACD line should be above the signal line for buy signals (indicating upward momentum).
The MACD line should be below the signal line for sell signals (indicating downward momentum).
Buy Signal:
A buy signal is generated when all the following conditions are met:
The Tenkan-sen crosses above the Kijun-sen.
The price is above both the Senkou Span A and Senkou Span B (the cloud).
The RSI is below the overbought level.
The MACD line is above the signal line.
Sell Signal:
A sell signal is generated when all the following conditions are met:
The Tenkan-sen crosses below the Kijun-sen.
The price is below both the Senkou Span A and Senkou Span B (the cloud).
The RSI is above the oversold level.
The MACD line is below the signal line.
Key Considerations:
Time Frame: The indicator has built-in adjustments for 1-hour and 4-hour timeframes, optimizing the parameters for each.
Customization: You can customize the overbought/oversold RSI levels and the styles of the buy/sell signals (triangle, label, arrow, circle) through the indicator's settings.
Accuracy: While the strategy combines multiple indicators to improve accuracy, remember that no trading indicator is perfect. Market conditions can change rapidly, and false signals can occur.
Risk Management: Always use proper risk management techniques, such as stop-loss orders, and never risk more than you can afford to lose.
Uptrick: Quantum RSI +Uptrick: Quantum RSI+ (QR-Pro) is a technical analysis indicator designed to enhance the functionality of the traditional Relative Strength Index (RSI). It incorporates adaptive volatility adjustments, threshold calculations, divergence detection, and visualization enhancements. This script is a vendor-protected indicator, and its source code is not publicly available. It adheres to TradingView’s vendor requirements while providing traders with a refined approach to analyzing market momentum, strength, and trend conditions.
Purpose:
The purpose of Quantum RSI+ (QR-Pro) is to adapt the RSI methodology dynamically based on changing market conditions. By utilizing smoothing techniques, adjustable length calculations, and divergence detection, it provides a structured way to evaluate trend strength and potential reversals. The indicator aims to offer a balanced response to varying levels of market volatility, helping traders minimize lag while reducing signal noise. Unlike standard RSI indicators that rely on fixed period settings, this script adapts to real-time market conditions, offering enhanced responsiveness and more accurate detection of potential reversal points.
Overview:
Quantum RSI+ (QR-Pro) modifies traditional RSI calculations by integrating a state-based adjustment system that alters the RSI length dynamically. This allows the indicator to respond more effectively to different volatility environments. It incorporates multiple analytical tools, such as divergence detection and support/resistance visualization, to assist in identifying momentum shifts and trend strength. In addition, the script offers an advanced metrics table that provides deeper insights into market statistics such as entropy, kurtosis, and volatility analysis. These insights are valuable for traders who wish to understand market structure in greater detail and adjust their strategies accordingly.
Originality:
This indicator differentiates itself by combining adaptive RSI length adjustments, divergence detection, and dynamic learning zones. Unlike standard RSI implementations that use fixed calculations, Quantum RSI+ (QR-Pro) adjusts automatically to market volatility, making it more responsive and effective under changing conditions. The advanced metrics table, which includes measures like the Hurst exponent, entropy, kurtosis, and volatility Z-score, further distinguishes the script by offering an additional layer of market intelligence. These metrics help traders determine whether a market is trending or mean-reverting, assess randomness, and identify volatility spikes, thereby justifying the script's value compared to freely available alternatives.
Enhanced RSI Framework:
Quantum RSI+ (QR-Pro) introduces a framework that adjusts RSI sensitivity based on volatility. Traditional RSI methods use a fixed calculation period, which can result in signals that either react too slowly or too quickly depending on market behavior. This indicator modifies the RSI length dynamically, shortening it in high-volatility periods to capture rapid shifts while extending it in low-volatility periods to filter out noise. This adaptive approach provides a more balanced assessment of market momentum and helps traders avoid false signals. It is best used in conjunction with other technical analysis tools to validate trade setups and manage risk effectively.
Advanced Adaptive Smoothing:
The script employs a multi-layered smoothing technique to refine RSI readings. Traditional RSI indicators can be affected by market noise, leading to erratic signals. By applying a structured smoothing process, Quantum RSI+ (QR-Pro) helps identify sustained trends while filtering out short-lived fluctuations. This balance between reactivity and stability leads to more reliable momentum assessments, making it easier for traders to discern genuine market movements from transient noise.
Dynamic Market Intelligence:
Instead of relying on static thresholds, Quantum RSI+ (QR-Pro) calculates its levels dynamically based on historical market performance. This approach provides a contextual understanding of market conditions, allowing traders to better anticipate reversals. Additional validation methods further increase the reliability of the signals, making the indicator a practical tool for confirming potential trend changes in real time.
Inputs:
• Line Width – Sets the thickness of the RSI plot line for visual clarity.
• MA Type for Quantum RSI – Allows users to choose the type of moving average (SMA, EMA, WMA, or VWMA) to overlay on the Quantum RSI.
• MA Length – Defines the period used for the selected moving average, providing additional trend filtering.
• Enable Moving Average – Toggles the calculation and plotting of the chosen moving average on the RSI. Bar coloring is then adjusted according to the slope of this MA if enabled.
• Ribbon Help – Enables or disables a moving average ribbon that visually compares two moving averages for enhanced trend clarity. Bar coloring is then adjusted according to the slope of this Ribbon if enabled.
• Ribbon Difference – Adjusts the gap between the fast and slow moving averages used in the ribbon visualization.
• Slope Length – Determines the period for calculating the slope of the moving average, which influences its color representation based on trend direction. A higher value usually can help filter out more noise as it would not be affected by small moves.
• Show Advanced Metrics Table – Toggles the display of a table that presents advanced market metrics.
Features and Usage:
• Adaptive RSI Length – Dynamically adjusts the RSI length based on market volatility. Traders can use this feature to obtain more responsive RSI signals during volatile periods and smoother readings during calmer market conditions.
• Quantum RSI Smoothing – Applies a structured smoothing process to RSI values to reduce noise, helping traders focus on genuine momentum shifts rather than transient fluctuations.
• Holographic Divergence Detection – Detects bullish and bearish divergences by comparing price action with RSI movements. This feature can be used to confirm potential trend reversals when combined with other market data.
• Gradient-Filled Zones – Highlights areas with smooth gradient transitions, making it easier to visualize and anticipate shifts in market sentiment.
• Moving Average of RSI – Overlays different moving averages on the RSI to provide additional trend filtering and confirmation for trading decisions.
• Ribbon Visualization – Displays a dynamic moving average ribbon that compares fast and slow moving averages, offering additional visual context and clarity regarding trend direction and potential momentum shifts.
• Metrics Table – Presents market statistics such as the Hurst exponent, Shannon entropy, kurtosis, skewness, fractal dimension, and volatility Z-score. These metrics offer deeper insights into market structure, assisting traders in understanding whether markets are trending or reverting and identifying periods of uncertainty. Here's what the metrics tell you:
• Hurst Exponent – Provides insight into whether market behavior tends to follow a trending or mean-reverting pattern.
• Shannon Entropy – Gauges the randomness or unpredictability in price movements, reflecting market stability.
• Kurtosis – Highlights the likelihood of extreme price swings, indicating the presence of heavy tails in the return distribution.
• Skewness – Indicates the asymmetry in the distribution of returns, pointing to potential biases in price direction.
• Fractal Dimension – Assesses the complexity of market patterns, revealing the intricacy of price action.
• Volatility Z-Score – Standardizes current volatility relative to historical levels, helping to identify periods of unusual market activity.
• UPT State – Provides a qualitative evaluation of the overall market environment, categorizing conditions as favorable, cautionary, or neutral for trading.
• Alerts – Built-in alert conditions notify users when bullish or bearish divergences occur, enabling traders to automate signal detection and respond promptly to market changes.
Summary:
Quantum RSI+ (QR-Pro) is a structured RSI-based momentum analysis tool that adapts to market conditions dynamically. By incorporating volatility-based adjustments, adaptive threshold calculations, and divergence detection, it delivers enhanced trend recognition and trade signals. Its advanced visualization techniques and moving average options offer a clear representation of market dynamics, while the advanced metrics table provides additional insights into market structure and behavior. Traders can use this indicator to identify overbought and oversold conditions dynamically, filter market noise through adaptive smoothing, and confirm trade signals using divergence detection. It is best applied as part of a comprehensive technical analysis strategy to validate trends and potential reversals in real-world trading scenarios.
Disclaimer:
This indicator is a technical analysis tool and should not be considered financial advice. Trading involves significant risk, and past performance does not guarantee future results. Users should exercise discretion and employ proper risk management when utilizing this tool in live trading.
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Liquidity Heatmap & Volume-Weighted RSILiquidity Heatmap Indicator with Volume-Weighted RSI
Description:
The Liquidity Heatmap Indicator with Volume-Weighted RSI (VW-RSI) is a powerful tool designed for traders to visualize market liquidity zones while integrating a volume-adjusted momentum oscillator. This indicator provides a dynamic heatmap of liquidity levels across various price points and enhances traditional RSI by incorporating volume weight, making it more responsive to market activity.
Key Features:
Liquidity Heatmap Visualization: Identifies high-liquidity price zones, allowing traders to spot potential areas of support, resistance, and accumulation.
Volume-Weighted RSI (VW-RSI): Enhances the RSI by factoring in trading volume, reducing false signals and improving trend confirmation.
Customizable Sensitivity: Users can adjust parameters to fine-tune heatmap intensity and RSI smoothing.
Dynamic Market Insights: Helps identify potential price reversals and trend strength by combining liquidity depth with momentum analysis.
How to Use:
1. Identify Liquidity Zones: The heatmap colors indicate areas of high and low liquidity, helping traders pinpoint key price action areas.
2. Use VW-RSI for Confirmation: When VW-RSI diverges from price near a liquidity cluster, it signals a potential reversal or continuation.
3. Adjust Parameters: Fine-tune the RSI period, volume weighting, and heatmap sensitivity to align with different trading strategies.
This indicator is ideal for traders who rely on order flow analysis, volume-based momentum strategies, and liquidity-driven trading techniques.
Momentum candle w/ AlertMomentum Candle Indicator with Alerts
The Momentum Candle Indicator is designed to assist traders in identifying candles that exhibit strong momentum based on customizable criteria. This indicator visually highlights momentum candles and provides alerting functionality to ensure timely notifications about significant price movements. It is flexible and suited for various trading styles, offering easy configuration.
Key Features:
Momentum Candle Detection: Identifies candles with a body size and wick characteristics indicative of momentum. The detection criteria are fully customizable to fit individual trading strategies.
Customizable Parameters:
- Minimum Body Size (Pips): The minimum size of the candle body, in pips, for it to be considered a momentum candle.
- Minimum Wick-to-Body Ratio (%): Specifies the minimum percentage of wick relative to the body size to qualify as momentum.
- Maximum Wick-to-Body Ratio (%): Sets the upper limit for the wick-to-body ratio to filter out candles with excessive wicks.
- Timeframe: Select the timeframe for momentum candle analysis (e.g., 15 minutes, 1 hour, etc.).
- Alert Trigger Option: Choose between alerts that trigger at candle close or in real-time when criteria are met. Real-time alerts are sent as soon as the criteria are met, but there is no guarantee that the candle will remain a valid momentum candle at its close.
- Show Detail: Enable or disable additional labels on the chart that display metrics for valid momentum candles.
- Enable Candle Debug: Activate debug mode to show detailed metrics for every candle, assisting in fine-tuning settings.
Visual Feedback: Highlights valid momentum candles on the chart for easy identification. Optional labels display metrics like body size, wick size, and ratios.
Alerts: Configurable alerts notify you whenever a momentum candle is detected, based on your defined criteria.
How to Use:
Add the Indicator to Your Chart: Add this script to your TradingView chart as an indicator.
Configure the Settings: Open the settings panel and adjust the parameters: Define the Minimum Body Size in pips. Set the Wick-to-Body Ratio thresholds. Choose the timeframe for analysis. Select the alert trigger option ( real-time or candle close ). Enable or disable labels and debug information.
Set Up Alerts: Open the TradingView alert panel. Select the condition for this script (e.g., " Momentum Candle Detected "). Customize the alert message and preferences. Click Create to activate the alert.
Analyze Results: Review highlighted momentum candles on the chart. Use optional debug labels for a detailed breakdown of candle metrics.
Why Use This Indicator?
Momentum candles often indicate significant market movements, providing valuable insights for trend-following or breakout strategies. This indicator automates the detection and alert process, helping traders focus on strategy execution while ensuring they don’t miss key opportunities.
With customizable parameters and real-time feedback, this tool is practical, adaptable, and designed to simplify momentum analysis.
