Double MACD Overlay [NLR]This indicator plots two MACD signals directly on your price chart to help you spot trends and shifts in momentum more clearly:
🔹 Main MACD - The classic MACD with customizable Fast, Slow, and Signal lengths. Great for confirming broader trend direction.
🔹 Short MACD - A faster MACD with an option to smooth the input, helping you catch early signals or identify short-term momentum changes.
Each MACD is visualized as:
A line showing the moving average
A colored histogram showing the MACD minus the signal
A zero line for reference
Why use this?
By comparing a short-term MACD with a longer-term one, you get early signals without losing the big picture. Use it for confirmation, divergence spotting, or just cleaner trend visualization.
Best For:
✅ Trend-followers
✅ Momentum traders
✅ Anyone who wants more context from their MACD signals
Recommended Settings:
Here are some ideal settings to get the most out of this indicator:
On a 5-Minute Chart:
Compare your current MACD with the 15-minute MACD.
- MACD Multiplier: 3
On a 1-Minute Chart:
Spot short-term moves while comparing them to the 5-minute MACD.
- MACD Multiplier: 5
- Use Smoothed Source (Short MACD): ON (for a cleaner short MACD signal)
Happy trading! 💹
Centered Oscillators
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview
MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters.
※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance.
Strategy Objectives
Identify early trend transitions with high probability
Filter entries using volume dynamics to validate momentum
Maintain continuous exposure using a reversal-style model
Apply a consistent 1:1.5 risk-to-reward ratio per trade
Key Features
Integrated MACD and volume oscillator filtering
Zero repainting (all signals confirmed on closed candles)
Automatic position flipping for seamless direction shifts
Stop-loss and take-profit based on recent structural highs/lows
Trading Rules
Long Entry Conditions
MACD crosses above the zero line (BBO Buy arrow)
Volume oscillator is positive (short EMA > long EMA)
MACD is above the signal line
Close any existing short and enter a new long
Short Entry Conditions
MACD crosses below the zero line (BBO Sell arrow)
Volume oscillator is positive
MACD is below the signal line
Close any existing long and enter a new short
Exit Rules
Take Profit (TP) = Entry ± (risk distance × 1.5)
Stop Loss (SL) = Recent swing low (for long) or high (for short)
Early Exit = Triggered when a reversal signal appears (flip logic)
Risk Management Parameters
Pair: ETH/USD
Timeframe: 10-minute
Starting Capital: $3,000
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted for sustainable practice)
Total Trades: 312 (backtest on selected dataset)
※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions.
Parameters & Configurations
Volume Short Length: 6
Volume Long Length: 12
MACD Fast Length: 11
MACD Slow Length: 21
Signal Smoothing: 10
Oscillator MA Type: SMA
Signal Line MA Type: SMA
Visual Support
Green arrow = Long entry
Red arrow = Short entry
MACD lines, signal line, and histogram
SL/TP markers plotted directly on the chart
Strategic Advantages & Uniqueness
Volume filtering eliminates low-participation, weak signals
Structurally aligned SL/TP based on recent market pivots
No repainting — decisions are made only on closed candles
Always in the market due to the reversal-style framework
Inspirations & Attribution
This strategy is inspired by the excellent work of:
Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol”
Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation.
HasanRifat – “MACD Fake Filter ”
Introduced a signal filter using MACD wave height averaging to reduce false positives.
This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system.
Summary
MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions.
100% mechanical — no discretionary input required
Designed for high-confidence entries
Can be extended with filters, alerts, or trailing stops
※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
VIDYA Auto-Trading(Reversal Logic)Overview
This script is a dynamic trend-following strategy based on the Variable Index Dynamic Average (VIDYA). It adapts in real time to market volatility, aiming to enhance entry precision and optimize risk management.
⚠️ This strategy is intended for educational and research purposes. Past performance does not guarantee future results. All results are based on historical simulations using fixed parameters.
Strategy Objectives
The objective of this strategy is to respond swiftly to sudden price movements and trend reversals, providing consistent and reliable trade signals under historical testing conditions. It is designed to be intuitive and efficient for traders of all levels.
Key Features
Momentum Sensitivity via VIDYA: Reacts quickly to momentum shifts, allowing for accurate trend-following entries.
Volatility-Based ATR Bands: Automatically adjusts stop levels and entry conditions based on current market volatility.
Intuitive Trend Visualization: Uptrends are marked with green zones, and downtrends with red zones, giving traders clear visual guidance.
Trading Rules
Long Entry: Triggered when price crosses above the upper band. Any existing short position is closed.
Short Entry: Triggered when price crosses below the lower band. Any existing long position is closed.
Exit Conditions: Positions are reversed based on signal changes, using a position reversal strategy.
Risk Management Parameters
Market: ETHUSD(5M)
Account Size: $3,000 (reasonable approximation for individual traders)
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted to comply with TradingView guidelines for realistic risk levels)
Number of Trades: 251 (based on backtest over the selected dataset)
⚠️ The risk per trade and other values can be customized. Users are encouraged to adapt these to their individual needs and broker conditions.
Trading Parameters & Considerations
VIDYA Length: 10
VIDYA Momentum: 20
Distance factor for upper/lower bands: 2
Source: close
Visual Support
Trend zones, entry points, and directional shifts are clearly plotted on the chart. These visual cues enhance the analytical experience and support faster decision-making.
Visual elements are designed to improve interpretability and are not intended as financial advice or trade signals.
Strategy Improvements & Uniqueness
Inspired by the public work of BigBeluga, this script evolves the original concept with meaningful enhancements. By combining VIDYA and ATR bands, it offers greater adaptability and practical value compared to conventional trend-following strategies.
This adaptation is original work and not a direct copy. Improvements are designed to enhance usability, risk control, and market responsiveness.
Summary
This strategy offers a responsive and adaptive approach to trend trading, built on momentum detection and volatility-adjusted risk management. It balances clarity, precision, and practicality—making it a powerful tool for traders seeking reliable trend signals.
⚠️ All results are based on historical data and are subject to change under different market conditions. This script does not guarantee profit and should be used with caution and proper risk management.
Pro Scalper AI [BullByte]The Pro Scalper AI is a powerful, multi-faceted scalping indicator designed to assist active traders in identifying short-term trading opportunities with precision. By combining trend analysis, momentum indicators, dynamic weighting, and optional AI forecasting, this tool provides both immediate and latched trading signals based on confirmed (closed bar) data—helping to avoid repainting issues. Its flexible design includes customizable filters such as a higher timeframe trend filter, and adjustable settings for ADX, ATR, and Hull Moving Average (HMA), giving traders the ability to fine-tune the strategy to different markets and timeframes.
Key Features :
- Confirmed Data Processing :
Utilizes a helper function to lock in price and volume data only from confirmed (closed) bars, ensuring the reliability of signals without the risk of intrabar repainting.
- Trend Analysis :
Employs ADX and Directional Movement (DI) calculations along with a locally computed HMA to detect short-term trends. An optional higher timeframe trend filter can further refine the analysis.
- Flexible Momentum Modes :
Choose between three momentum calculation methods—Stochastic RSI, Fisher RSI, or Williams %R—to match your preferred style of analysis. This versatility allows you to optimize the indicator for different market conditions.
- Dynamic Weighting & Volatility Adjustments :
Adjusts the contribution of trend, momentum, volatility, and volume through dynamic weighting. This ensures that the indicator responds appropriately to varying market conditions by scaling its sensitivity with user-defined maximum factors.
- Optional AI Forecast :
For those who want an extra edge, the built-in AI forecasting module uses linear regression to predict future price moves and adjusts oscillator thresholds accordingly. This feature can be toggled on or off, with smoothing options available for more stable output.
- Latching Mode for Signal Persistenc e:
The script features a latching mechanism that holds signals until a clear reversal is detected, preventing whipsaws and providing more reliable trade entries and exits.
- Comprehensive Visualizations & Dashboard :
- Composite Oscillator & Dynamic Thresholds : The oscillator is plotted with dynamic upper and lower thresholds, and the area between them is filled with a color that reflects the active trading signal (e.g., Strong Buy, Early Sell).
- Signal Markers : Both immediate (non-latching) and stored (latched) signals are marked on the chart with distinct shapes (circles, crosses, triangles, and diamonds) to differentiate between signal types.
- Real-Time Dashboard : A customizable dashboard table displays key metrics including ADX, oscillator value, chosen momentum mode, HMA trend, higher timeframe trend, volume factor, AI bias (if enabled), and more, allowing traders to quickly assess market conditions at a glance.
How to Use :
1. S ignal Interpretation :
- Immediate Signals : For traders who prefer quick entries, the indicator displays immediate signals such as “Strong Buy” or “Early Sell” based on the current market snapshot.
- Latched Signals : When latching is enabled, the indicator holds a signal state until a clear reversal is confirmed, offering sustained trade setups.
2. Trend Confirmation :
- Use the HMA trend indicator and the optional higher timeframe trend filter to confirm the prevailing market direction before acting on signals.
3. Dynamic Thresholds & AI Forecasting :
- Monitor the dynamically adjusted oscillator thresholds and, if enabled, the AI bias to gauge potential shifts in market momentum.
4. Risk Management :
- Combine these signals with additional analysis and sound risk management practices to determine optimal entry and exit points for scalping trades.
Disclaimer :
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management strategies before trading.
Relative Directional Index (RDI)🔍 Overview
The Relative Directional Index (RDI) is a hybrid tool that fuses the Average Directional and the Relative Strength Indices (ADX and RSI) into a single, highly visual interface. While the former captures trend strength, the latter reveals momentum shifts and potential exhaustion. Together, they can confirm trend structure, anticipate reversals, and sharpen the timing entries and exits.
📌 Why Combine ADX with RSI?
Most indicators focus on either trend-following (like ADX) or momentum detection (like RSI)—but rarely both. Each comes with trade-offs:
- ADX alone confirms trend strength but ignores momentum.
- RSI alone signals overbought/oversold, but lacks trend context.
The RDI resolves this by integrating both, offering:
- Smarter filters for trend entries
- Early warnings of momentum breakdowns
- More confident signal validation
🧠 Design Note: Fibonacci Harmony
All default values—5, 13, 21—are Fibonacci numbers. This is intentional, as these values reflect the natural rhythm of market cycles, and promote harmonic calibration between price action and indicator logic.
🔥 Key Features
✅ ADX Histogram
- Green bars = trend gaining strength
- Red bars = trend weakening
- Adjustable transparency for visual tuning
✅ ADX Line (Orange)
- Measures trend strength over time
- Rising = accelerating trend
- Falling = trend may be fading
✅ RSI Line (Lemon Yellow)
- Captures momentum surges and slowdowns
- Above 50 = bullish control
- Below 50 = bearish pressure
✅ Trend Strength Squares
- Bright green = strong uptrend
- Bright red = strong downtrend
- Faded colors = range-bound or indecisive
✅ ADX/RSI Crossover Markers
- Yellow square = RSI crosses above ADX → momentum building
- Orange square = ADX crosses above RSI → trend still dominant
✅ Customizable Reference Lines
- Yellow (50) = strong trend threshold
- Red (30) = weak trend zone
- Green (70) = overextended, potential exhaustion
_______________________________________________________
🎯 How to Trade with the RDI
The RDI helps traders identify momentum-supported trends, catch early reversals, and avoid false signals during consolidation.
✅ Trend Confirmation Entries
🔼 Bullish → Enter long on pullbacks or resistance breakouts
- ADX rising above 30
- RSI above 50
- Green trend square visible
🔽 Bearish → Enter short on breakdowns or failed retests
- ADX rising
- RSI below 50
- Red trend square visible
🧯 Exit if RSI crosses back against trend direction or ADX flattens
🚨 Reversal Setups Using Divergence
📈 Bullish Divergence → Long entry after confirmation (e.g. engulfing bar, volume spike)
- Price prints lower low
- RSI prints higher low
- Green triangle
📉 Bearish Divergence → Short entry on breakdown
- Price prints higher high
- RSI prints lower high
- Red triangle
Tip: Stronger if ADX is declining (fading trend strength)
🔂 Breakout Detection via Cross Markers
- Yellow square = RSI > ADX → breakout brewing
- Orange square = ADX > RSI → trend continuation likely
⏸️ Avoid Choppy Markets
- RSI between 45–55
- Faded trend squares
- Flat ADX below 20–30
🧠 Pro Tips
- Combine RDI with VWAPs, moving averages and/or pitchforks
- Watch for alignment between trend and momentum
- Use divergence markers as confirmation, not stand-alone triggers
_______________________________________________________
⚠️ Hidden Divergence (Optional)
The RDI includes optional hidden divergence detection. These signals suggest trend continuation but are off by default. Use with discretion—best in established trends, not sideways markets.
🙈 Hidden Bullish
- Price prints higher low
- RSI prints lower low
🙈 Hidden Bearish
- Price prints lower high
- RSI prints higher high
Trend Strength MeterThe Trend Strength Meter (TSM) is a powerful and versatile indicator designed to help traders identify market trends, measure their strength, and detect potential reversals with ease. This indicator combines the power of moving averages, divergence detection, and a clean, customizable dashboard to provide actionable insights for traders of all levels.
How It Works
Trend Strength Calculation:
1. The TSM calculates the trend strength using the difference between two Exponential Moving Averages (EMAs): a fast EMA (default: 20) and a slow EMA (default: 50).
2. The difference is expressed as a percentage of the slow EMA, providing a clear measure of the trend's strength and direction.
Histogram Visualization:
1. A color-coded histogram visually represents the trend strength:
Green: Bullish trend
Red: Bearish trend
Gray: Neutral or no significant trend
2. A smoothed trend strength line (SMA of the trend strength) is also plotted for better clarity.
Divergence Detection:
1. The indicator detects bullish and bearish divergences using the RSI (Relative Strength Index) and price action.
2. Bullish Divergence: Price makes a lower low, but RSI makes a higher low, signaling potential upward momentum.
3. Bearish Divergence: Price makes a higher high, but RSI makes a lower high, signaling potential downward momentum.
=> Divergences are marked with arrows on the chart:
Green Arrow: Bullish divergence
Red Arrow: Bearish divergence
Dashboard:
1. A clean and informative dashboard displays key information:
Trend Strength Value: The current strength of the trend
Trend Direction: Bullish, Bearish, or Neutral
Last Signal: Buy, Sell, or None (based on divergence signals)
The dashboard is fully customizable and can be positioned anywhere on the chart (e.g., top-right, bottom-left, center, etc.).
Key Features
1. Trend Strength Measurement: Quickly identify the strength and direction of the trend.
2. Divergence Detection: Spot potential reversals before they occur with bullish and bearish divergence signals.
3. Customizable Dashboard: Move the dashboard to your preferred location on the chart for better visibility.
4. User-Friendly Design: Clean visuals and intuitive color coding make it easy to interpret market conditions.
5. Actionable Signals: Provides clear Buy/Sell signals based on divergence, helping traders make informed decisions.
How to Use
1. Trend Confirmation:
Use the histogram and trend strength value to confirm the current market trend.
Green bars indicate a bullish trend, while red bars indicate a bearish trend.
2. Divergence Signals:
Look for divergence arrows (green for bullish, red for bearish) to anticipate potential reversals.
Combine divergence signals with other technical analysis tools for higher accuracy.
3. Dashboard Insights:
Monitor the dashboard for real-time updates on trend strength, direction, and the latest signal.
Use the "Last Signal" (Buy/Sell) to validate your trading decisions.
4. Custom Settings:
Adjust the EMA lengths and divergence lookback period to suit your trading style and timeframe.
Position the dashboard anywhere on the chart for convenience.
Best Practices
1. Use the TSM in conjunction with other indicators or price action analysis for confirmation.
2. Test the indicator on different timeframes to find the one that works best for your strategy.
3. Always practice proper risk management when trading.
Disclaimer
This indicator is a tool to assist in technical analysis and should not be used as a standalone trading strategy. Past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
Momentum Shift [Bigbeluga]
This indicator identifies momentum shifts using a smoothed momentum calculation. It plots dynamic shift zones consisting of five levels that expand or contract based on price action. When momentum rises, the indicator creates an upward shift zone, and when momentum falls, it generates a downward shift zone. The shift zones dynamically react to price, stopping extension when a level is crossed.
🔵Key Features:
Smoothed Momentum Calculation:
➣ Utilizes a Hull Moving Average (HMA) to smooth momentum and reduce noise.
➣ Identifies momentum shifts with crossovers between the current momentum value and its previous state.
➣ Uses a gradient color scheme to highlight momentum strength.
Dynamic Shift Zones:
➣ When momentum rises, the indicator plots an upper shift zone with five incremental levels.
➣ When momentum falls, a lower shift zone is formed with five descending levels.
➣ Each level within the shift zone represents a progressively stronger momentum shift.
Level Extension Control:
➣ Shift zones stop extending once a level is crossed by price.
➣ Levels closer to price act as key momentum resistance or support zones.
➣ If price retraces after a shift, the remaining levels stay intact for further reference.
Momentum Direction Indications:
➣ Labels (▲ and ▼) appear at momentum shift points to indicate rising or falling momentum.
🔵Usage:
Momentum-Based Entries: Identify momentum shifts early by using shift zones as confirmation for trade entries.
Trend Continuation & Exhaustion: Observe which shift levels price respects—if momentum shift zones hold, the trend may continue; if they break, momentum may reverse.
Dynamic Support & Resistance: Use the five-level shift zones as temporary support and resistance areas that adapt to momentum shifts.
Momentum Strength Analysis: If price moves through multiple shift levels in one direction, it signals strong momentum in that direction.
Momentum Shift is a powerful tool for traders looking to analyze momentum shifts with structured visual zones. By combining smoothed momentum calculations with dynamic shift zones, this indicator provides a clear view of market momentum and helps traders navigate price action effectively.
MACD Boundary PSA - CoffeeKillerMACD Boundary PSA - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the MACD Boundary PSA indicator, a powerful market analysis tool developed by CoffeeKiller that enhances the traditional MACD with advanced boundary detection and peak signaling features.
🔔 **Warning: This Indicator Has No Signal Line or MACD Line** 🔔 This indicator is my version of the MACD, that I use in conjunction with the Rev&Line indicator.
Core Concept: Enhanced MACD Analysis
The foundation of this indicator builds upon the classic Moving Average Convergence Divergence (MACD) indicator, adding boundary tracking and peak detection systems to provide clearer signals and market insights.
Histogram Bars: Market Momentum
- Positive Green Bars: Bullish momentum
- Negative Red Bars: Bearish momentum
- Color intensity varies based on momentum strength
- Special coloring for new high/low boundaries
Marker Lines: Dynamic Support/Resistance
- High Marker Line (Magenta): Tracks the highest point reached during a bullish phase
- Low Marker Line (Cyan): Tracks the lowest point reached during a bearish phase
- Acts as dynamic boundaries that help identify strength of current moves
Peak Detection System:
- Triangular markers identify significant local maxima and minima
- Background highlighting shows important momentum peaks
- Helps identify potential reversal points and momentum exhaustion
Core Components
1. MACD Calculation
- Customizable fast and slow moving averages
- Signal line smoothing options
- Flexible MA type selection (SMA or EMA)
- Custom source input options
2. Boundary Tracking System
- Automatic detection of highest values in bullish phases
- Automatic detection of lowest values in bearish phases
- Step-line visualization of boundaries
- Color-coded for easy identification
3. Peak Detection System
- Identification of local maxima and minima
- Background highlighting of significant peaks
- Triangle markers for peak visualization
- Zero-line cross detection for trend changes
4. Time Resolution Control
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
Main Features
Time Resolution Settings
- Normal mode: calculations match your chart's timeframe
- Custom resolution mode: calculations based on specified timeframe
- Helps identify stronger signals from other timeframes
Visual Elements
- Color-coded histogram bars
- Dynamic marker lines for boundaries
- Peak triangles for significant turning points
- Background highlighting for peak identification
Signal Generation
- Zero-line crosses for trend change signals
- Boundary breaks for momentum strength
- Peak formation for potential reversals
- Color changes for momentum direction
Customization Options
- MA types and lengths
- Signal smoothing
- Color schemes
- Marker line visibility
- Peak background display options
Trading Applications
1. Trend Identification
- Histogram crossing above zero: bullish trend beginning
- Histogram crossing below zero: bearish trend beginning
- Histogram color: indicates momentum direction
- Consistent color intensity: trend strength
2. Reversal Detection
- Peak triangles after extended trend: potential exhaustion
- Background highlighting: significant reversal points
- Histogram approaching marker lines: potential trend change
- Color shifts from bright to muted: decreasing momentum
3. Momentum Analysis
- Histogram breaking above previous high boundary: accelerating bullish momentum
- Histogram breaking below previous low boundary: accelerating bearish momentum
- Special coloring (magenta/cyan): boundary breaks indicating strength
- Distance from zero line: overall momentum magnitude
4. Market Structure Assessment
- Consecutive higher peaks: strengthening bullish structure
- Consecutive lower troughs: strengthening bearish structure
- Peak comparisons: relative strength of momentum phases
- Boundary line steps: market structure levels
Optimization Guide
1. MACD Settings
- Fast Length: Shorter values (8-12) for responsiveness, longer values (20+) for smoother signals
- Slow Length: Shorter values (21-34) for more signals, longer values (72+) for major moves
- Default settings (22, 72, 9): balanced approach for most timeframes
- Consider using 8, 21, 5 for shorter timeframes and 34, 144, 5 for longer timeframes
2. MA Type Selection
- EMA: More responsive, follows price more closely
- SMA: Smoother, fewer false signals, potentially more lag
- Mix and match for oscillator and signal lines based on your preference
3. Time Resolution
- Match chart timeframe: for aligned analysis
- Use higher timeframe: for filtering signals
- Lower timeframe: for earlier entries but more noise
4. Color Customization
- Normal bullish/bearish colors: represent standard momentum
- High/low marker line colors: customize visibility
- Peak marker colors: adjust for your visual preference
- Consider chart background when selecting colors
Best Practices
1. Signal Confirmation
- Wait for zero-line crosses to confirm trend changes
- Look for peak formations to identify potential reversals
- Check for boundary breaks to confirm strong momentum
- Use custom timeframe option for higher timeframe confirmation
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 bullish phase: positive histogram breaking above marker line
- Strong bearish phase: negative histogram breaking below marker line
- Histogram approaching zero: potential trend change
- Peak formations: potential exhaustion points
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 with boundary lines
Advanced Trading Strategies
1. Boundary Break Strategy
- Enter long when histogram breaks above previous high marker line
- Enter short when histogram breaks below previous low marker line
- Use zero-line as initial stop-loss reference
- Take profits at formation of opposing peaks
2. Peak Trading Strategy
- Identify significant peaks with triangular markers
- Look for consecutive lower peaks in bullish phases for shorting opportunities
- Look for consecutive higher troughs in bearish phases for buying opportunities
- Use zero-line crosses as confirmation
3. Multi-Timeframe Strategy
- Use custom resolution for higher timeframe MACD trend
- Enter trades when both timeframes align
- Higher timeframe for trend direction
- Chart timeframe for precise entry
4. Histogram Color Strategy
- Enter long when histogram turns bright green (increasing momentum)
- Enter short when histogram turns bright red (increasing momentum)
- Exit when color intensity fades (decreasing momentum)
- Use marker lines as dynamic support/resistance
Practical Analysis Examples
Bullish Market Scenario
- Histogram crosses above zero line
- Green bars grow in height and intensity
- High marker line forms steps upward
- Peak triangles appear at local maxima
- Background highlights appear at significant momentum peaks
Bearish Market Scenario
- Histogram crosses below zero line
- Red bars grow in depth and intensity
- Low marker line forms steps downward
- Peak triangles appear at local minima
- Background highlights appear at significant momentum troughs
Consolidation Scenario
- Histogram oscillates around zero line
- Bar colors alternate frequently
- Marker lines remain relatively flat
- Few or no new peak highlights appear
- Histogram values remain small
Understanding Market Dynamics Through MACD Boundary PSA
At its core, this indicator provides a unique lens to visualize market momentum and boundaries:
1. Momentum Strength: The histogram height/depth shows the strength of current momentum, with color intensity providing additional context about acceleration or deceleration.
2. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of momentum in both directions, helping to identify when markets are making new momentum extremes.
3. Exhaustion Signals: The peak detection system highlights moments where momentum has reached a local maximum or minimum, often precursors to reversals or consolidations.
4. Trend Confirmation: The histogram color and intensity provide instant feedback about the current trend direction and strength, with special colors highlighting particularly significant moves.
Remember:
- Combine signals from histogram, marker lines, and peak formations
- Use appropriate timeframe settings for your trading style
- Customize the indicator to match your visual preferences
- 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.
RSI3M3+ v.1.8RSI3M3+ v.1.8 Indicator
This script is an advanced trading indicator based on Walter J. Bressert's cycle analysis methodology, combined with an RSI (Relative Strength Index) variation. Let me break it down and explain how it works.
Core Concepts
The RSI3M3+ indicator combines:
A short-term RSI (3-period)
A 3-period moving average to smooth the RSI
Bressert's cycle analysis principles to identify optimal trading points
RSI3M3+ Indicator VisualizationImage Walter J. Bressert's Cycle Analysis Concepts
Walter Bressert was a pioneer in cycle analysis trading who believed markets move in cyclical patterns that can be measured and predicted. His key principles integrated into this indicator include:
Trading Cycles: Markets move in cycles with measurable time spans from low to low
Timing Bands: Projected periods when the next cyclical low or high is anticipated
Oscillator Use: Using oscillators like RSI to confirm cycle position
Entry/Exit Rules: Specific rules for trade entry and exit based on cycle position
Key Parameters in the Script
Basic RSI Parameters
Required bars: Minimum number of bars needed (default: 20)
Overbought region: RSI level considered overbought (default: 70)
Oversold region: RSI level considered oversold (default: 30)
Bressert-Specific Parameters
Cycle Detection Length: Lookback period for cycle identification (default: 30)
Minimum/Maximum Cycle Length: Expected cycle duration in days (default: 15-30)
Buy Line: Lower threshold for buy signals (default: 40)
Sell Line: Upper threshold for sell signals (default: 60)
How the Indicator Works
RSI3M3 Calculation:
Calculates a 3-period RSI (sRSI)
Smooths it with a 3-period moving average (sMA)
Cycle Detection:
Identifies bottoms: When the RSI is below the buy line (40) and starting to turn up
Identifies tops: When the RSI is above the sell line (60) and starting to turn down
Records these points to calculate cycle lengths
Timing Bands:
Projects when the next cycle bottom or top should occur
Creates visual bands on the chart showing these expected time windows
Signal Generation:
Buy signals occur when the RSI turns up from below the oversold level (30)
Sell signals occur when the RSI turns down from above the overbought level (70)
Enhanced by Bressert's specific timing rules
Bressert's Five Trading Rules (Implemented in the Script)
Cycle Timing: The low must be 15-30 market days from the previous Trading Cycle bottom
Prior Top Validation: A Trading Cycle high must have occurred with the oscillator above 60
Oscillator Behavior: The oscillator must drop below 40 and turn up
Entry Trigger: Entry is triggered by a rise above the price high of the upturn day
Protective Stop: Place stop slightly below the Trading Cycle low (implemented as 99% of bottom price)
How to Use the Indicator
Reading the Chart
Main Plot Area:
Green line: 3-period RSI
Red line: 3-period moving average of the RSI
Horizontal bands: Oversold (30) and Overbought (70) regions
Dotted lines: Buy line (40) and Sell line (60)
Yellow vertical bands: Projected timing windows for next cycle bottom
Signals:
Green up arrows: Buy signals
Red down arrows: Sell signals
Trading Strategy
For Buy Signals:
Wait for the RSI to drop below the buy line (40)
Look for an upturn in the RSI from below this level
Enter the trade when price rises above the high of the upturn day
Place a protective stop at 99% of the Trading Cycle low
For Sell Signals:
Wait for the RSI to rise above the sell line (60)
Look for a downturn in the RSI from above this level
Consider exiting or taking profits when a sell signal appears
Alternative exit: When price moves below the low of the downturn day
Cycle Timing Enhancement:
Pay attention to the yellow timing bands
Signals occurring within these bands have higher probability of success
Signals outside these bands may be less reliable
Practical Tips for Using RSI3M3+
Timeframe Selection:
The indicator works best on daily charts for intermediate-term trading
Can be used on weekly charts for longer-term position trading
On intraday charts, adjust cycle lengths accordingly
Market Applicability:
Works well in trending markets with clear cyclical behavior
Less effective in choppy, non-trending markets
Consider additional indicators for trend confirmation
Parameter Adjustment:
Different markets may have different natural cycle lengths
You may need to adjust the min/max cycle length parameters
Higher volatility markets may need wider overbought/oversold levels
Trade Management:
Enter trades when all Bressert's conditions are met
Use the protective stop as defined (99% of cycle low)
Consider taking partial profits at the projected cycle high timing
Advanced Techniques
Multiple Timeframe Analysis:
Confirm signals with the same indicator on higher timeframes
Enter in the direction of the larger cycle when smaller and larger cycles align
Divergence Detection:
Look for price making new lows while RSI makes higher lows (bullish)
Look for price making new highs while RSI makes lower highs (bearish)
Confluence with Price Action:
Combine with support/resistance levels
Use with candlestick patterns for confirmation
Consider volume confirmation of cycle turns
This RSI3M3+ indicator combines the responsiveness of a short-term RSI with the predictive power of Bressert's cycle analysis, offering traders a sophisticated tool for identifying high-probability trading opportunities based on market cycles and momentum shifts.
THANK YOU FOR PREVIOUS CODER THAT EFFORT TO CREATE THE EARLIER VERSION THAT MAKE WALTER J BRESSERT CONCEPT IN TRADINGVIEW @ADutchTourist
TR Buy/Sell Signal PanelI scripted this with chatgpt have fun guys
📊 TR Buy/Sell Signal Panel – Smart Trade Signals with Visual Clarity
The TR Buy/Sell Signal Panel is a standalone indicator inspired by the powerful Traders Reality (TR) methodology.
It detects potential long and short trade setups using classic market behavior patterns such as volume spikes, EMA crossovers, and session-based timing – all visualized cleanly and statically on your chart.
✅ Key Features
Buy Signals (LONG):
Green PVSRA candle (strong bullish candle with momentum)
EMA13 crossing above EMA50
Volume spike (current volume exceeds 20-period average × multiplier)
Triggered only during London or New York trading sessions (UTC)
Sell Signals (SHORT):
Red PVSRA candle (strong bearish move)
EMA13 crossing below EMA50
Volume spike
Also restricted to active session times
📌 Visual Components
Green/Red arrows on the chart indicate Buy/Sell entries
A static info panel in the bottom-right corner displays all signal conditions:
PVSRA active ✅
Volume Spike ✅
EMA Crossover ✅
Session Time ✅
Last Signal: 🟢 BUY / 🔴 SELL
Current Direction: 🟢 LONG / 🔴 SHORT / ❌ NONE
⚙️ Fully Customizable
Adjustable volume spike multiplier
Optional toggle for showing/hiding short signals
Extremely user-friendly layout – ideal for both beginners & experienced traders
📦 Best For:
Scalpers & Intraday Traders
Traders who follow the Traders Reality / Market Maker Method
Anyone who values clean, rule-based trade entries
Note: Works across all timeframes with sufficient volume (e.g., 5min – 4hr). Sessions are based on UTC time – adjust if needed based on your timezone or trading hours.
Reversal + Confirm ZonesThis script is written in Pine Script (version 5) for TradingView and creates an indicator called **"Reversal + Confirm Zones"**. It overlays visual zones on a price chart to identify potential reversal points and confirmation signals for trading. The indicator combines **Bollinger Bands** and **RSI** to detect overbought/oversold conditions (reversal zones) and uses **EMA crosses** and **MACD zero-line crosses** to confirm bullish or bearish trends. Below is a detailed explanation:
---
### **1. Purpose**
- The script highlights:
- **Reversal Zones**: Areas where the price might reverse due to being overbought (green) or oversold (red).
- **Confirmation Zones**: Areas where a trend reversal is confirmed using EMA and MACD signals (green for bullish, red for bearish).
- It provides visual backgrounds and alerts to assist traders in spotting potential trade setups.
---
### **2. Components**
The script is divided into two main parts: **Reversal Logic** and **Confirmation Logic**.
---
### **3. Reversal Logic (Red & Green Zones)**
#### **Bollinger Bands**
- **Parameters**:
- Length: 20 periods.
- Source: Closing price (`close`).
- Multiplier: 2.0 (standard deviations).
- **Calculation**:
- `basis`: 20-period Simple Moving Average (SMA).
- `dev`: 2 times the standard deviation of the price over 20 periods.
- `upper`: `basis + dev` (upper band).
- `lower`: `basis - dev` (lower band).
- **Purpose**: Identifies when the price moves outside the normal range (beyond 2 standard deviations).
#### **Relative Strength Index (RSI)**
- **Parameters**:
- Length: 14 periods.
- Low Threshold: 30 (oversold).
- High Threshold: 70 (overbought).
- **Calculation**: `rsiValue = ta.rsi(close, rsiLength)`.
- **Purpose**: Measures momentum to confirm overbought or oversold conditions.
#### **Zone Conditions**
- **Red Zone (Oversold)**:
- Condition: `close < lower` (price below lower Bollinger Band) AND `rsiValue < rsiLowThreshold` (RSI < 30).
- Visual: Light red background (`color.new(color.red, 80)`).
- Alert: "Deep Oversold Signal triggered!".
- **Green Zone (Overbought)**:
- Condition: `close > upper` (price above upper Bollinger Band) AND `rsiValue > rsiHighThreshold` (RSI > 70).
- Visual: Light green background (`color.new(color.green, 80)`).
- Alert: "Deep Overbought Signal triggered!".
#### **Interpretation**
- Red Zone: Suggests the price is oversold and may reverse upward.
- Green Zone: Suggests the price is overbought and may reverse downward.
---
### **4. Confirmation Logic (EMA and MACD Crosses)**
#### **Exponential Moving Averages (EMAs)**
- **Parameters**:
- Short EMA Length: 9 periods (user adjustable).
- Long EMA Length: 21 periods (user adjustable).
- **Calculation**:
- `emaShort = ta.ema(close, emaShortLength)`.
- `emaLong = ta.ema(close, emaLongLength)`.
- **Conditions**:
- **Bullish EMA Cross**: `emaCrossBullish = ta.crossover(emaShort, emaLong)` (9 EMA crosses above 21 EMA).
- **Bearish EMA Cross**: `emaCrossBearish = ta.crossunder(emaShort, emaLong)` (9 EMA crosses below 21 EMA).
#### **MACD**
- **Parameters**:
- Fast Length: 12 periods (user adjustable).
- Slow Length: 26 periods (user adjustable).
- Signal Smoothing: 9 periods (user adjustable).
- **Calculation**:
- ` = ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing)`.
- Only the MACD line and signal line are used; the histogram is ignored (`_`).
- **Conditions**:
- **Bullish MACD Cross**: `macdCrossBullish = ta.crossover(macdLine, 0)` (MACD crosses above zero).
- **Bearish MACD Cross**: `macdCrossBearish = ta.crossunder(macdLine, 0)` (MACD crosses below zero).
#### **Combined Confirmation Conditions**
- **Bullish Confirmation**:
- Condition: `bullishConfirmation = emaCrossBullish and macdCrossBullish`.
- Visual: Very light green background (`color.new(color.green, 90)`).
- Meaning: A bullish trend is confirmed when the 9 EMA crosses above the 21 EMA AND the MACD crosses above zero.
- **Bearish Confirmation**:
- Condition: `bearishConfirmation = emaCrossBearish and macdCrossBearish`.
- Visual: Very light red background (`color.new(color.red, 90)`).
- Meaning: A bearish trend is confirmed when the 9 EMA crosses below the 21 EMA AND the MACD crosses below zero.
---
### **5. Visual Outputs**
- **Reversal Zones**:
- Red background for oversold conditions.
- Green background for overbought conditions.
- **Confirmation Zones**:
- Light green background for bullish confirmation.
- Light red background for bearish confirmation.
- Note: The script does not plot the Bollinger Bands, EMAs, or MACD lines—only the background zones are visualized.
---
### **6. Alerts**
- **Deep Oversold Alert**: Triggers when the red zone condition is met.
- **Deep Overbought Alert**: Triggers when the green zone condition is met.
- No alerts are set for the confirmation zones (EMA/MACD crosses).
---
### **7. How It Works**
1. **Reversal Detection**:
- The script uses Bollinger Bands and RSI to flag extreme price levels (red for oversold, green for overbought).
- These zones suggest potential reversals but are not confirmed yet.
2. **Trend Confirmation**:
- EMA crosses (9/21) and MACD zero-line crosses provide confirmation of a trend direction.
- Bullish confirmation (green) occurs when both indicators align upward.
- Bearish confirmation (red) occurs when both indicators align downward.
3. **Trading Strategy**:
- Look for a red zone (oversold) followed by a bullish confirmation for a potential long entry.
- Look for a green zone (overbought) followed by a bearish confirmation for a potential short entry.
---
### **8. How to Use**
1. Add the script to TradingView.
2. Adjust inputs (EMA lengths, MACD settings) if desired.
3. Monitor the chart:
- Red zones indicate oversold conditions—watch for a potential upward reversal.
- Green zones indicate overbought conditions—watch for a potential downward reversal.
- Light green/red backgrounds confirm the trend direction after a reversal zone.
4. Set up alerts for oversold/overbought conditions to catch reversal signals early.
---
### **9. Key Features**
- **Dual Purpose**: Combines reversal detection (Bollinger Bands + RSI) with trend confirmation (EMA + MACD).
- **Visual Simplicity**: Uses background colors instead of plotting lines, keeping the chart clean.
- **Customizable**: Allows users to tweak EMA and MACD periods.
- **Alerts**: Notifies users of extreme conditions for timely action.
---
### **10. Limitations**
- No plotted indicators (e.g., Bollinger Bands, EMAs, MACD) for visual reference—relies entirely on background shading.
- Confirmation signals (EMA/MACD) may lag behind reversal zones, potentially missing fast reversals.
- No alerts for confirmation zones, limiting real-time notification of trend confirmation.
This script is ideal for traders who want a straightforward way to spot potential reversals and confirm them with trend-following indicators, all overlaid on the price chart.
Moving Average Convergence DivergenceThis script is written in Pine Script (version 6) for TradingView and implements the **Moving Average Convergence Divergence (MACD)** indicator. The MACD is a popular momentum oscillator used to identify trend direction, strength, and potential reversals. This version includes customizable inputs, visual enhancements (like crossover markers), and alerts for key events. Below is a detailed explanation of the script:
---
### **1. Purpose**
- The script calculates and displays the MACD line, signal line, and histogram.
- It highlights key events such as MACD/signal line crossovers and zero-line crosses with shapes and colors.
- It provides alerts for changes in the histogram's direction (rising to falling or vice versa).
---
### **2. User Inputs**
- **Fast Length**: Period for the fast moving average (default: 12).
- **Slow Length**: Period for the slow moving average (default: 26).
- **Source**: Data input for calculation (default: closing price, `close`).
- **Signal Smoothing**: Period for the signal line (default: 9, range: 1–50).
- **Oscillator MA Type**: Type of moving average for MACD calculation (options: SMA or EMA, default: EMA).
- **Signal Line MA Type**: Type of moving average for the signal line (options: SMA or EMA, default: EMA).
---
### **3. MACD Calculation**
The MACD is calculated in three parts:
1. **MACD Line**: Difference between the fast and slow moving averages.
- Fast MA: Either SMA or EMA of the source over `fast_length`.
- Slow MA: Either SMA or EMA of the source over `slow_length`.
- Formula: `macd = fast_ma - slow_ma`.
2. **Signal Line**: A moving average (SMA or EMA) of the MACD line over `signal_length`.
- Formula: `signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)`.
3. **Histogram**: Difference between the MACD line and the signal line.
- Formula: `hist = macd - signal`.
---
### **4. Key Events Detection**
#### **MACD/Signal Line Crossovers**
- **Bullish Cross**: MACD crosses above the signal line (`ta.crossover(macd, signal)`).
- **Bearish Cross**: MACD crosses below the signal line (`ta.crossunder(macd, signal)`).
#### **Zero Line Crosses**
- **Cross Above Zero**: MACD crosses above 0 (`ta.crossover(macd, 0)`).
- **Cross Below Zero**: MACD crosses below 0 (`ta.crossunder(macd, 0)`).
---
### **5. Colors**
- **MACD Line**: Green (#089981) if MACD > signal (bullish), red (#f23645) if MACD < signal (bearish).
- **Signal Line**: White (`color.white`).
- **Histogram**:
- Positive (MACD > signal): Light green (#B2DFDB) if decreasing, darker green (#26A69A) if increasing.
- Negative (MACD < signal): Light red (#FFCDD2) if increasing in magnitude, darker red (#FF5252) if decreasing in magnitude.
- **Zero Line**: Gray with 50% transparency (`color.new(#787B86, 50)`).
---
### **6. Visual Outputs**
#### **Plotted Lines**
- **MACD Line**: Plotted with dynamic coloring based on its position relative to the signal line.
- **Signal Line**: Plotted in white.
- **Histogram**: Displayed as columns, with colors indicating direction and momentum.
- **Zero Line**: Horizontal line at 0 for reference.
#### **Shapes for Key Events**
- **Bullish Cross Below Zero**: Green circle on the MACD line when MACD crosses above the signal line while still below zero.
- **Bearish Cross Above Zero**: Red circle on the MACD line when MACD crosses below the signal line while still above zero.
- **Cross Above Zero**: Green upward label at the zero line when MACD crosses above 0.
- **Cross Below Zero**: Red downward label at the zero line when MACD crosses below 0.
---
### **7. Alerts**
- **Rising to Falling**: Triggers when the histogram switches from positive (or zero) to negative.
- Condition: `hist >= 0 and hist < 0`.
- Message: "MACD histogram switched from rising to falling".
- **Falling to Rising**: Triggers when the histogram switches from negative (or zero) to positive.
- Condition: `hist <= 0 and hist > 0`.
- Message: "MACD histogram switched from falling to rising".
---
### **8. How It Works**
1. **Trend Direction**:
- MACD above signal line (green) suggests bullish momentum.
- MACD below signal line (red) suggests bearish momentum.
2. **Momentum Strength**:
- Histogram height shows the strength of the momentum (larger bars = stronger momentum).
- Histogram color changes indicate whether momentum is increasing or decreasing.
3. **Reversal Signals**:
- Crossovers between MACD and signal lines often signal potential trend changes.
- Zero-line crosses indicate shifts between bullish (above 0) and bearish (below 0) territory.
---
### **9. How to Use**
1. Add the script to TradingView.
2. Adjust inputs (e.g., fast/slow lengths, MA types) to suit your trading style.
3. Monitor the chart:
- Green MACD and upward histogram bars suggest bullish conditions.
- Red MACD and downward histogram bars suggest bearish conditions.
- Watch for circles (crossovers) and labels (zero-line crosses) for trade signals.
4. Set up alerts to notify you of histogram direction changes.
---
### **10. Key Features**
- **Customization**: Flexible MA types and periods.
- **Visual Clarity**: Dynamic colors and shapes highlight key events.
- **Alerts**: Notifies users of momentum shifts via histogram changes.
- **Intuitive**: Combines all MACD components (line, signal, histogram) in one indicator.
This script is ideal for traders who rely on MACD for momentum analysis and want clear visual cues and alerts for decision-making.
ALTIN.S1 to XAU/TRY RatioThis script calculates the ratio between the Turkish Mint Gold Certificate (ALTIN.S1) and the gold price in TRY (XAU/TRY). It helps traders track the premium or discount of ALTIN.S1 compared to the actual gold price. The script also includes upper (1.15) and lower (1.00) boundary lines for reference.
[blackcat] L3 Volatility Ehlers Stochastic CGOOVERVIEW
This advanced indicator integrates the Center of Gravity Oscillator (CGO) with an Ehlers-Stochastic framework and an Adaptive Local Minimum-Maximum Average (ALMA) smoothing algorithm. Designed for non-overlaid charts, it identifies market momentum shifts by analyzing price action through multi-layer volatility analysis.
FEATURES
• Dual-line system:
✓ Stochastic CGO: Core oscillating line derived from weighted OHLC price calculations
✓ ALMA Lagging Line: Smoothing component using customizable offset/sigma parameters
• Dynamic color scheme:
✓ Green/red trend differentiation via crossover comparison
✓ Optional fill areas between lines (toggleable)
• Clear trade signals:
✓ Buy/Sell labels triggered by mathematically defined crossovers
✓ Zero-reference baseline marker (#0ebb23)
• Customizable parameters:
Fast Length (9 default) controls CGO sensitivity
Slow Length (5 default) governs ALMA responsiveness
ALMA Offset/Sigma allow adaptive curve optimization
HOW TO USE
Configure core parameters:
• Adjust Fast Length (CGO timeframe window)
• Set Slow Length, ALMA Offset, and Sigma for smoother/laggier response
Interpret visuals:
• Bullish trend = green shaded zone (when primary line above lagging line)
• Bearish trend = red shaded zone (primary line below lagging line)
Analyze signals:
• Buy triggers occur when rising CGO crosses above ALMA while below zero
• Sell triggers activate when falling CGO breaks below ALMA after exceeding zero base
Optimize display:
✓ Enable/disable fill area via Fill Between Lines
LIMITATIONS
• Relies heavily on lookback periods - rapid market changes may reduce predictive accuracy
• Signal frequency increases during high-volatility environments
• Requires additional confirmation methods due to occasional premature crossovers
• Default parameter settings may lack universality across asset classes
NOTES
• Best paired with volume-based confirmations for stronger signals
• Reducing ALMA Sigma sharpens line responsiveness at cost of noise susceptibility
• Increasing Fast Length extends calculation horizon while reducing peak sensitivity
• Weighted OHLC source formula prioritizes closing prices for swing direction assessment
Spot - Fut spread v2"Spot - Fut Spread v2"
indicator is designed to track the difference between spot and futures prices on various exchanges. It automatically identifies the corresponding instrument (spot or futures) based on the current symbol and calculates the spread between the prices. This tool is useful for analyzing the delta between spot and futures markets, helping traders assess arbitrage opportunities and market sentiment.
Key Features:
- Automatic detection of spot and futures assets based on the current chart symbol.
- Flexible asset selection: the ability to manually choose the second asset if automatic selection is disabled.
- Spread calculation between futures and spot prices.
- Moving average of the spread for smoothing data and trend analysis.
Flexible visualization:
- Color indication of positive and negative spread.
- Adjustable background transparency.
- Text label displaying the current spread and moving average values.
- Error alerts in case of invalid data.
How the Indicator Works:
- Determines whether the current symbol is a futures contract.
- Based on this, selects the corresponding spot or futures symbol.
- Retrieves price data and calculates the spread between them.
- Displays the spread value and its moving average.
- The chart background color changes based on the spread value (positive or negative).
- In case of an error, the indicator provides an alert with an explanation.
Customization Parameters:
-Exchange selection: the ability to specify a particular exchange from the list.
- Automatic pair selection: enable or disable automatic selection of the second asset.
- Moving average period: user-defined.
- Colors for positive and negative spread values.
- Moving average color.
- Background transparency.
- Background coloring source (based on spread or its moving average).
Application:
The indicator is suitable for traders who analyze the difference between spot and futures prices, look for arbitrage opportunities, and assess the premium or discount of futures relative to the spot market.
Nasan Ultimate Health Index (NUHI)The Nasan Ultimate Health Index (NUHI) is a technical indicator designed to measure the relative health of a stock compared to a benchmark index or sector. By incorporating price action, volume dynamics, and volatility, NUHI provides traders with a clearer picture of a stock’s performance relative to the broader market.
The NUHI is based on the idea that a stock’s relative strength and momentum can be assessed more effectively when adjusted for volume behavior and benchmark comparison. Instead of looking at price movement alone, this indicator factors in:
The stock’s price trend (via EMA)
Volume participation (green vs. red volume) and volume ratio - SMA(volume, 21)/ SMA(volume, 252)
Volatility-adjusted performance (ATR-based scaling)
Comparison with a selected benchmark (e.g., SPX, NDX, sector ETFs)
This results in a normalized and comparative score that helps traders identify outperforming, neutral, and underperforming stocks within a specific market environment.
The NUHI is constructed using the following elements:
1️⃣ Stock Raw Score (Unadjusted Momentum)
The exponential moving average (EMA) of the hlc3 (average of high, low, close) is used to define the price trend.
The difference between the current EMA and the EMA from n bars ago shows whether the stock is gaining or losing momentum.
This difference is divided by the ATR (Average True Range) to adjust for volatility.
2️⃣ Volume Behavior Adjustment
Volume is split into green volume (up candles) and red volume (down candles).
The ratio of green to red volume determines whether buyers or sellers dominate over the selected period (n bars).
If the stock is in an uptrend, green volume is weighted higher; if in a downtrend, red volume is weighted higher.
The stock’s Volume Ratio (short-term SMA divided by long-term SMA) is adjusted based on this weight.
3️⃣ Benchmark Comparison
A similar Raw Score calculation is performed on the selected benchmark (SPX, NDX, or sector ETF).
Benchmark price movements, volume behavior, and ATR adjustments mirror the stock’s calculations.
This provides a reference point for evaluating the stock’s relative strength.
4️⃣ Normalization Process
Both the stock and benchmark raw scores are min-max normalized over the past 252 bars (1-year lookback).
This scales values between 0 and 1, ensuring fair comparisons regardless of absolute price differences.
5️⃣ NUHI Calculation
The final NUHI value is computed using a logarithmic ratio between the normalized stock score and the normalized benchmark score:
This transformation ensures a more symmetrical representation of overperformance and underperformance.
Performance Zones
Strong Outperforming (NUHI between >0.41 and 0.69)
Leading (NUHI between >0.10 and 0.41)
Transitioning Outperformance (NUHI between 0.10 and 0)
Equilibrium (NUHI 0)
Transitioning Underperformance (NUHI between -0.10 and 0)
Lagging (NUHI between < -0.1 and -0.41)
Strong Underperforming (NUHI between< -0.41 and -0.69 )
How to Use NUHI
✅ Identifying Strong Stocks
If NUHI > 0, the stock is outperforming its benchmark.
If NUHI < 0, the stock is underperforming the benchmark.
✅ Trend Confirmation
A steadily rising NUHI and raw score (colored green) suggests sustained strength bullish conditions.
A falling NUHI and raw score (colored orange) indicates weakness and possible rotation into other assets.
✅ Finding Reversals
Bullish Divergence: If NUHI is improving while the stock’s raw score is negative, it may signal a bottoming opportunity.
Bearish Signs: If NUHI is dropping despite price strength, it could hint at underlying weakness.
Why a Stock in a Downtrend Can Have NUHI > 0 (and Vice Versa )
NUHI measures performance relative to both its own history and the benchmark.
A stock’s recent movement is compared to how it usually behaves and how the benchmark is performing.
Example Scenarios:
Stock in a Downtrend but NUHI > 0
The stock may still be in a downtrend (negative raw score), but it’s performing better relative to its past downtrend behavior and better than the benchmark over the same period.
This could mean it’s showing relative strength compared to the broader market or sector.
Stock in an Uptrend but NUHI < 0
Even in a uptrend (positive raw score), the stock might be underperforming relative to its past uptrend behavior and underperforming the benchmark.
What This Means:
NUHI > 0 in a downtrend → The stock is falling less aggressively than usual and/or holding up better than the benchmark.
NUHI < 0 in an uptrend → The stock is gaining less than expected based on its history and/or lagging behind the benchmark.
NUHI helps identify relative strength or weakness .
alphaJohnny Dynamic RSI IndicatorAlphaJohnny Dynamic RSI Indicator (Dyn RSI)
The Dynamic RSI Indicator (Dyn RSI) is a custom Pine Script tool designed for TradingView that aggregates Relative Strength Index (RSI) signals from multiple timeframes to provide a comprehensive view of market momentum. It combines RSI data from Weekly, Daily, 4-hour, 1-hour, and 30-minute intervals, offering traders a flexible and customizable way to analyze trends across different periods.
Key Features:
Multi-Timeframe RSI Aggregation: Combines RSI signals from user-selected timeframes for a holistic momentum assessment.
Dynamic or Equal Weighting: Choose between correlation-based dynamic weights (adjusting based on each timeframe’s correlation with price changes) or equal weights for simplicity.
Smoothed Momentum Line: A visually intuitive line that reflects the strength of the aggregate signal, smoothed for clarity.
Color-Coded Signal Strength:
Dark Green: Strong buy signal
Light Green: Weak buy signal
Yellow: Neutral
Light Red: Weak sell signal
Dark Red: Strong sell signal
Visual Markers: Large green triangles at the bottom for strong buy signals and red triangles at the top for strong sell signals.
How to Use:
Apply to Chart: Add the indicator to your TradingView chart (it will appear in a separate pane).
Customize Settings: Adjust inputs like RSI period, signal thresholds, included timeframes, weighting method, and smoothing period to fit your trading style.
Interpret Signals:
Momentum Line: Watch for color changes to gauge market conditions.
Triangles: Green at the bottom for strong buy opportunities, red at the top for strong sell opportunities.
Notes:
The indicator is designed for a separate pane (overlay=false), with triangles positioned relative to the pane’s range.
Fine-tune thresholds and weights based on your strategy and the asset being analyzed.
The source code is open for modification to suit your needs.
This indicator is ideal for traders seeking a multi-timeframe perspective on RSI to identify potential trend reversals and momentum shifts.
Aggregated Spot vs Perp Volume (% Change)Aggregated Spot vs Perp Volume (% Change)
Description
The "Aggregated Spot vs Perp Volume (% Change)" indicator helps crypto traders compare the momentum of spot and perpetual futures (perp) trading volumes across 12 major exchanges. It calculates the percentage change in volume from one bar to the next, highlighting divergences and showing which market—spot or perp—is leading a move. By focusing on relative changes, it eliminates the issue of absolute volume differences, making trends clear.
The indicator aggregates data from Binance, Bybit, OKX, Coinbase, Bitget, MEXC, Phemex, BingX, WhiteBIT, BitMEX, Kraken, and HTX. Users can toggle exchanges and choose to measure volume in coin units (e.g., BTC) or USD.
How It Works
Volume Aggregation:
Fetches spot and perp volume data for the selected crypto (e.g., BTC) from up to 12 exchanges.
Spot volume is included only if perp volume is available for the same pair, ensuring consistency.
Volume can be measured in coin units or USD (volume × spot price).
Percentage Change:
Calculates the percentage change in spot and perp volumes from the previous bar:
Percentage Change = ((Current Volume − Previous Volume) / Previous Volume) ×100
This focuses on relative momentum, making spot and perp volumes directly comparable.
Visualization:
Spot volume % change is plotted as a blue line, and perp volume % change as a red line, both with a linewidth of 1.
Who Should Use It
Crypto Traders: To understand spot vs. perp market dynamics across exchanges.
Momentum Traders: To spot which market is driving price moves via volume divergences.
Scalpers/Day Traders: For identifying short-term shifts in market activity.
Analysts: To study liquidity and sentiment in crypto markets.
How to Use It
Blue line: Spot volume % change.
Red line: Perp volume % change.
Look for divergences (e.g., a sharp rise in the red line but not the blue line suggests perp markets are leading).
Combine with Price:
Use alongside price charts to confirm trends or spot potential reversals.
Context
Spot markets reflect actual asset trading, while perp markets, with leverage, attract speculative activity and often show higher volumes. This indicator uses percentage change to compare their momentum, helping traders identify market leadership and divergences. For example, a 50% increase in both spot and perp volumes plots at the same level, making it easy to see relative shifts across exchanges.
Stochastic Fusion Elite [trade_lexx]📈 Stochastic Fusion Elite is your reliable trading assistant!
📊 What is Stochastic Fusion Elite ?
Stochastic Fusion Elite is a trading indicator based on a stochastic oscillator. It analyzes the rate of price change and generates buy or sell signals based on various technical analysis methods.
💡 The main components of the indicator
📊 Stochastic oscillator (K and D)
Stochastic shows the position of the current price relative to the price range for a certain period. Values above 80 indicate overbought (an early sale is possible), and values below 20 indicate oversold (an early purchase is possible).
📈 Moving Averages (MA)
The indicator uses 10 different types of moving averages to smooth stochastic lines.:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- HMA: Moving Average Scale
- KAMA: Kaufman Adaptive Moving Average
- VWMA: Volume-weighted moving average
- ALMA: Arnaud Legoux Moving Average
- TEMA: Triple exponential moving average
- ZLEMA: zero delay exponential moving average
- DEMA: Double exponential moving average
The choice of the type of moving average affects the speed of the indicator's response to market changes.
🎯 Bollinger Bands (BB)
Bands around the moving average that widen and narrow depending on volatility. They help determine when the stochastic is out of the normal range.
🔄 Divergences
Divergences show discrepancies between price and stochastic:
- Bullish divergence: price is falling and stochastic is rising — an upward reversal is possible
- Bearish divergence: the price is rising, and stochastic is falling — a downward reversal is possible
🔍 Indicator signals
1️⃣ KD signals (K and D stochastic lines)
- Buy signal:
- What happens: the %K line crosses the %D line from bottom to top
- What does it look like: a green triangle with the label "KD" under the chart and the label "Buy" below the bar
- What does this mean: the price is gaining an upward momentum, growth is possible
- Sell signal:
- What happens: the %K line crosses the %D line from top to bottom
- What it looks like: a red triangle with the label "KD" above the chart and the label "Sell" above the bar
- What does this mean: the price is losing its upward momentum, possibly falling
2️⃣ Moving Average Signals (MA)
- Buy Signal:
- What happens: stochastic crosses the moving average from bottom to top
- What it looks like: a green triangle with the label "MA" under the chart and the label "Buy" below the bar
- What does this mean: stochastic is starting to accelerate upward, price growth is possible
- Sell signal:
- What happens: stochastic crosses the moving average from top to bottom
- What it looks like: a red triangle with the label "MA" above the chart and the label "Sell" above the bar
- What does this mean: stochastic is starting to accelerate downwards, a price drop is possible
3️⃣ Bollinger Band Signals (BB)
- Buy signal:
- What happens: stochastic crosses the lower Bollinger band from bottom to top
- What it looks like: a green triangle with the label "BB" under the chart and the label "Buy" below the bar
- What does this mean: stochastic was too low and is now starting to recover
- Sell signal:
- What happens: Stochastic crosses the upper Bollinger band from top to bottom
- What it looks like: a red triangle with a "BB" label above the chart and a "Sell" label above the bar
- What does this mean: stochastic was too high and is now starting to decline
4️⃣ Divergence Signals (Div)
- Buy Signal (Bullish Divergence):
- What's happening: the price is falling, and stochastic is forming higher lows
- What it looks like: a green triangle with a "Div" label under the chart and a "Buy" label below the bar
- What does this mean: despite the falling price, the momentum is already changing in an upward direction
- Sell signal (bearish divergence):
- What's going on: the price is rising, and stochastic is forming lower highs
- What it looks like: a red triangle with a "Div" label above the chart and a "Sell" label above the bar
- What does this mean: despite the price increase, the momentum is already weakening
🛠️ Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals
- Why it is needed: prevents signals from being too frequent during strong market fluctuations
- How to set it up: Set the number from 0 and above (default: 5)
2️⃣ "Waiting for the opposite signal" mode
- What it does: waits for a signal in the opposite direction before generating a new signal
- Why you need it: it helps you not to miss important trend reversals
- How to set up: just turn the function on or off
3️⃣ Filter by stochastic levels
- What it does: generates signals only when the stochastic is in the specified ranges
- Why it is needed: it helps to catch the moments when the market is oversold or overbought
- How to set up:
- For buy signals: set a range for oversold (for example, 1-20)
- For sell signals: set a range for overbought (for example, 80-100)
4️⃣ MFI filter
- What it does: additionally checks the values of the cash flow index (MFI)
- Why it is needed: confirms stochastic signals with cash flow data
- How to set it up:
- For buy signals: set the range for oversold MFI (for example, 1-25)
- For sell signals: set the range for overbought MFI (for example, 75-100)
5️⃣ The RSI filter
- What it does: additionally checks the RSI values to confirm the signals
- Why it is needed: adds additional confirmation from another popular indicator
- How to set up:
- For buy signals: set the range for oversold MFI (for example, 1-30)
- For sell signals: set the range for overbought MFI (for example, 70-100)
🔄 Signal combination modes
1️⃣ Normal mode
- How it works: all signals (KD, MA, BB, Div) work independently of each other
- When to use it: for general market analysis or when learning how to work with the indicator
2️⃣ "AND" Mode ("AND Mode")
- How it works: the alarm appears only when several conditions are triggered simultaneously
- Combination options:
- KD+MA: signals from the KD and moving average lines
- KD+BB: signals from KD lines and Bollinger bands
- KD+Div: signals from the KD and divergence lines
- KD+MA+BB: three signals simultaneously
- KD+MA+Div: three signals at the same time
- KD+BB+Div: three signals at the same time
- KD+MA+BB+Div: all four signals at the same time
- When to use: for more reliable but rare signals
🔌 Connecting to trading strategies
The indicator can be connected to your trading strategies using 6 different channels.:
1. Connector KD signals: connects only the signals from the intersection of lines K and D
2. Connector MA signals: connects only signals from moving averages
3. Connector BB signal: connects only the signals from the Bollinger bands
4. Connector divergence signals: connects only divergence signals
5. Combined Connector: connects any signals
6. Connector for "And" mode: connects only combined signals
🔔 Setting up alerts
The indicator can send alerts when alarms appear.:
- Alerts for KD: when the %K line crosses the %D line
- Alerts for MA: when stochastic crosses the moving average
- Alerts for BB: when stochastic crosses the Bollinger bands
- Divergence alerts: when a divergence is detected
- Combined alerts: for all types of alarms
- Alerts for "And" mode: for combined signals
🎭 What does the indicator look like on the chart ?
- Main lines K and D: blue and orange lines
- Overbought/oversold levels: horizontal lines at levels 20 and 80
- Middle line: dotted line at level 50
- Stochastic Moving Average: yellow line
- Bollinger bands: green lines around the moving average
- Signals: green and red triangles with corresponding labels
📚 How to start using Stochastic Fusion Elite
1️⃣ Initial setup
- Add an indicator to your chart
- Select the types of signals you want to use (KD, MA, BB, Div)
- Adjust the period and smoothing for the K and D lines
2️⃣ Filter settings
- Set the distance between the signals to get rid of unnecessary noise
- Adjust stochastic, MFI and RSI levels depending on the volatility of your asset
- If you need more reliable signals, turn on the "Waiting for the opposite signal" mode.
3️⃣ Operation mode selection
- First, use the standard mode to see all possible signals.
- When you get comfortable, try the "And" mode for rarer signals.
4️⃣ Setting up Alerts
- Select the types of signals you want to be notified about
- Set up alerts for these types of signals
5️⃣ Verification and adaptation
- Check the operation of the indicator on historical data
- Adjust the parameters for a specific asset
- Adapt the settings to your trading style
🌟 Usage examples
For trend trading
- Use the KD and MA signals in the direction of the main trend
- Set the distance between the signals
- Set stricter levels for filters
For trading in a sideways range
- Use BB signals to detect bounces from the range boundaries
- Use a stochastic level filter to confirm overbought/oversold conditions
- Adjust the Bollinger bands according to the width of the range
To determine the pivot points
- Pay attention to the divergence signals
- Set the distance between the signals
- Check the MFI and RSI filters for additional confirmation
Highest High Line with Multi-Timeframe Supertrend and RSIOverview:
This powerful indicator combines three essential elements for traders:
Highest High Line – Tracks the highest price over a customizable lookback period across different timeframes.
Multi-Timeframe Supertrend – Displays Supertrend values and trend directions for multiple timeframes simultaneously.
Relative Strength Index (RSI) – Shows RSI values across different timeframes for momentum analysis.
Features:
✅ Customizable Highest High Line:
Selectable timeframes: Daily, Weekly, Monthly, Quarterly, Yearly
Adjustable lookback period
✅ Multi-Timeframe Supertrend:
Supports 1min, 5min, 10min, 15min, 30min, 1H, Daily, Weekly, Monthly, Quarterly, Yearly
ATR-based calculation with configurable ATR period and multiplier
Identifies bullish (green) & bearish (red) trends
✅ Multi-Timeframe RSI:
Calculates RSI for the same timeframes as Supertrend
Overbought (≥70) and Oversold (≤30) signals with color coding
✅ Comprehensive Table Display:
A clean, structured table in the bottom-right corner
Displays Supertrend direction, value, and RSI for all timeframes
Helps traders quickly assess trend and momentum alignment
How to Use:
Use the Highest High Line to identify key resistance zones.
Confirm trend direction with Multi-Timeframe Supertrend.
Check RSI values to avoid overbought/oversold conditions before entering trades.
Align multiple timeframes for stronger confirmation of trend shifts.
Ideal For:
✅ Scalpers (lower timeframes: 1m–30m)
✅ Swing Traders (higher timeframes: 1H–D)
✅ Position Traders (Weekly, Monthly, Quarterly)
💡 Tip: Look for Supertrend & RSI confluence across multiple timeframes for higher probability setups.
CCI with Zero Signal by Edwin KCCI with Zero Signal by Edwin K is a custom Commodity Channel Index (CCI) indicator designed for traders to analyze market trends and momentum more effectively. It combines the CCI calculation with a visually distinct histogram and color-coded candlestick bars for enhanced clarity and decision-making.
Key Features:
CCI Line:
Plots the CCI line based on the specified length (default: 21).
Helps identify overbought or oversold conditions, momentum shifts, and trend reversals.
Zero Signal Line:
A horizontal line at 0 serves as a reference point to distinguish between bullish and bearish momentum.
Histogram:
Displays a histogram that reflects the CCI's values.
Histogram bars change colors dynamically based on their relation to the zero line and the trend's direction.
Green/Lime: Positive momentum (above zero).
Red/Maroon: Negative momentum (below zero).
Candlestick Coloring:
Automatically paints candlesticks based on the histogram's color.
Provides an intuitive visual cue for momentum shifts directly on the price chart.
Use Cases:
Trend Confirmation: Use the histogram and candlestick colors to confirm the strength and direction of trends.
Momentum Shifts: Identify transitions between bullish and bearish momentum when the CCI crosses the zero line.
Entry and Exit Points: Combine this indicator with other tools to pinpoint optimal trade entries and exits.
This indicator offers a user-friendly yet powerful visualization of the CCI, making it an excellent tool for traders aiming to enhance their technical analysis.
Multi-Indicator Trading DashboardMulti-Indicator Trading Dashboard: Comprehensive Analysis and Actionable Signals
This Pine Script indicator, "Multi-Indicator Trading Dashboard," provides a comprehensive overview of key market indicators and generates actionable trading signals, all presented in a clear, easy-to-read table format on your TradingView chart.
Key Features:
Real-time Indicator Analysis: The dashboard displays real-time values and signals for:
RSI (Relative Strength Index): Tracks overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Identifies trend changes and momentum.
ADX (Average Directional Index): Measures trend strength.
Volatility (ATR-based): Estimates volatility as a percentage, acting as a VIX proxy for single-symbol charts.
Trend Determination: Analyzes 20, 50, and 200-period EMAs to provide a clear trend assessment (Strong Bullish, Cautious Bullish, Cautious Bearish, Strong Bearish).
Combined Trading Signals: Integrates signals from RSI, MACD, ADX, and trend analysis to generate a combined "Buy," "Sell," or "Neutral" action signal.
User-Friendly Table Display: Presents all information in a neatly organized table, positioned at the top-right of your chart.
Visual Chart Overlays: Plots 20, 50, and 200-period EMAs directly on the chart for visual trend confirmation.
Background Color Alerts: Colors the chart's background based on the "Buy" or "Sell" action signal for quick visual cues.
Customizable Inputs: Allows you to adjust key parameters like RSI lengths, MACD settings, ADX thresholds, and EMA periods.
How It Works:
Indicator Calculations: The script calculates RSI, MACD, ADX, and a volatility proxy (ATR) using standard Pine Script functions.
Trend Analysis: It compares 20, 50, and 200-period EMAs to determine the overall trend direction.
Individual Signal Generation: It generates individual "Buy," "Sell," or "Neutral" signals based on RSI, MACD, and ADX values.
Combined Signal Logic: It combines the individual signals and trend analysis, assigning a "Buy" or "Sell" action only when at least two indicators align.
Table Display: It creates a table and populates it with the calculated values, signals, and trend information.
Chart Overlays: It plots the EMAs on the chart and colors the background based on the combined action signal.
Use Cases:
Quick Market Overview: Get a snapshot of key market indicators and trend direction at a glance.
Confirmation Tool: Use the combined signals to confirm your existing trading strategies.
Educational Purpose: Learn how different indicators interact and influence trading decisions.
Automated Alerting: Set up alerts based on the "Buy" or "Sell" action signals.
Customization:
Adjust the input parameters to fine-tune the indicator's sensitivity to your trading style and the specific market you're analyzing.
Disclaimer:
This indicator is for informational and educational purposes only and should not be considered financial advice. Always conduct thorough research and consult with 1 a qualified professional before making any 2 trading decisions.
Multi-Oscillator Adaptive Kernel | AlphaAlgosMulti-Oscillator Adaptive Kernel | AlphaAlgos
Overview
The Multi-Oscillator Adaptive Kernel (MOAK) is an advanced technical analysis tool that combines multiple oscillators through sophisticated kernel-based smoothing algorithms. This indicator is designed to provide clearer trend signals while filtering out market noise, offering traders a comprehensive view of market momentum across multiple timeframes.
Key Features
• Fusion of multiple technical oscillators (RSI, Stochastic, MFI, CCI)
• Advanced kernel smoothing technology with three distinct mathematical models
• Customizable sensitivity and lookback periods
• Clear visual signals for trend shifts and reversals
• Overbought/oversold zones for precise entry and exit timing
• Adaptive signal that responds to varying market conditions
Technical Components
The MOAK indicator utilizes a multi-layer approach to signal generation:
1. Oscillator Fusion
The core of the indicator combines normalized readings from up to four popular oscillators:
• RSI (Relative Strength Index) - Measures the speed and change of price movements
• Stochastic - Compares the closing price to the price range over a specific period
• MFI (Money Flow Index) - Volume-weighted RSI that includes trading volume
• CCI (Commodity Channel Index) - Measures current price level relative to an average price
2. Kernel Smoothing
The combined oscillator data is processed through one of three kernel functions:
• Exponential Kernel - Provides stronger weighting to recent data with exponential decay
• Linear Kernel - Applies a linear weighting from most recent to oldest data points
• Gaussian Kernel - Uses a bell curve distribution that helps filter out extreme values
3. Dual Signal Lines
• Fast Signal Line - Responds quickly to price changes
• Slow Signal Line - Provides confirmation and shows the underlying trend direction
Configuration Options
Oscillator Selection:
• Enable/disable each oscillator (RSI, Stochastic, MFI, CCI)
• Customize individual lookback periods for each oscillator
Kernel Settings:
• Kernel Type - Choose between Exponential, Linear, or Gaussian mathematical models
• Kernel Length - Adjust the smoothing period (higher values = smoother line)
• Sensitivity - Fine-tune the indicator's responsiveness (higher values = more responsive)
Display Options:
• Color Bars - Toggle price bar coloring based on indicator direction
How to Interpret the Indicator
Signal Line Direction:
• Upward movement (teal) indicates bullish momentum
• Downward movement (magenta) indicates bearish momentum
Trend Shifts:
• Small circles mark the beginning of new uptrends
• X-marks indicate the start of new downtrends
Overbought/Oversold Conditions:
• Values above +50 suggest overbought conditions (potential reversal or pullback)
• Values below -50 suggest oversold conditions (potential reversal or bounce)
Trading Strategies
Trend Following:
• Enter long positions when the signal line turns teal and shows an uptrend
• Enter short positions when the signal line turns magenta and shows a downtrend
• Use the slow signal line (area fill) as confirmation of the underlying trend
Counter-Trend Trading:
• Look for divergences between price and the indicator
• Consider profit-taking when the indicator reaches overbought/oversold areas
• Wait for trend shift signals before entering counter-trend positions
Multiple Timeframe Analysis:
• Use the indicator across different timeframes for confirmation
• Higher timeframe signals carry more weight than lower timeframe signals
Best Practices
• Experiment with different kernel types for various market conditions
• Gaussian kernels often work well in ranging markets
• Exponential kernels can provide earlier signals in trending markets
• Combine with volume analysis for higher probability trades
• Use appropriate stop-loss levels as the indicator does not guarantee price movements
This indicator is provided as-is with no guarantees of profit. Always use proper risk management when trading with any technical indicator. Nothing is financial advise.
