ATR Impulse Reversal Traffic-Light + RSI Overlay (Normalised)ATR Impulse Reversal Traffic-Light + RSI Overlay (Normalised)
Short Title
Impulse TL + RSI (Norm)
Description (use this exactly)
What this indicator does
This indicator is a calm, context-gated reversal oscillator designed to reduce noise and cognitive overload.
It highlights potential reversal conditions only when price is stretched and momentum shows signs of turning.
The goal is not frequent signals, but clear decision states.
How it works (logic overview)
Stretch Band Gate (Location)
Price must be stretched below a lower ATR band (EMA ± ATR). If price is not stretched, the indicator remains neutral.
Oversold Context
ATR-normalised momentum must have reached an oversold condition within a recent lookback window.
Reversal Timing (Momentum)
Momentum is analysed for early turning behaviour and confirmed reversals.
Traffic-Light Colours
Grey → Ignore (no stretch and/or no oversold context)
Red → Stretched + oversold, momentum still falling
Orange → Momentum turning up (early warning)
Green → Reversal confirmed (signal-line cross or zero cross)
An optional GREEN Hold is included to reduce flicker and visual noise.
RSI Overlay
RSI is plotted normalised to the oscillator scale, allowing it to sit directly on top of the impulse bars for visual confluence.
RSI is not used in the traffic-light logic and is purely informational.
Suggested Use
Best suited for 4H swing trading
Use GREEN states when price remains stretched below the band
Can be paired with a higher-timeframe trend filter if desired (not included)
Repainting & Disclaimer
This script uses only current and historical bar data and does not use security().
Values may update on the realtime bar before close, which is normal TradingView behaviour.
This indicator is provided for educational purposes only and is not financial advice.
Осцилляторы
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
PREMIUM TRADE ZONES - [EntryLab]Premium Trade Zones is a channel-based indicator designed to highlight potential high-probability areas for considering long and short trades, as well as ideal zones for taking profits. It uses dynamic channels to identify when price may be overextended (overbought or oversold), providing visual confluence for trade decisions.
Key Features are the Purple & Blue Channels: These represent the core overbought (upper/purple) and oversold (lower/blue) zones. Price entering or reacting at these levels often signals potential reversals or exhaustion.
Upper & Lower Channels: Serve as dynamic support/resistance levels. Use them as added confluence for: Entry points (long near lower channel in uptrends, short near upper in downtrends).
Profit-taking areas (scale out or exit when price reaches the opposing channel).
The oscillator component helps gauge momentum strength and when price deviates significantly into extreme zones.
How to Use Overbought/Oversold Insight:
Watch for price pushing into the purple channel (potential overbought → consider shorts or profit on longs) or blue channel (potential oversold → consider longs or profit on shorts). Reactions at these levels can offer good insight into mean reversion or continuation pauses.
Trade Entries — Look for confluence: e.g., price bouncing off the lower channel + bullish momentum on the oscillator = stronger case for long. Reverse for shorts at upper channel.
Profit Taking — Use the opposite channel as a target zone to take partial or full profits. For example, take some profit near the upper channel on a long trade.
General Tip — Combine with your existing trend analysis, support/resistance, or other indicators for better context. This tool works best as confluence rather than a standalone signal.
This indicator does not repaint and aims to provide clear, visual zones to simplify decision-making on entries, exits, and risk management. Always use proper risk management—trading involves risk.Feel free to adjust settings like channel sensitivity (if your inputs allow) to match different timeframes or assets.
Momentum RSIMomentum RSI (MRSI | MisinkoMaster)
Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision.
Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies.
🔍 Concept & Idea
Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps:
Capture early signals in trending markets
Reduce false signals during sideways or choppy conditions
Highlight overbought and oversold zones more effectively
Provide additional momentum context for more informed trading decisions
By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes.
⚙️ How It Works
The Momentum RSI calculation involves several key steps:
Standard RSI Calculation:
The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
Momentum Derivation:
Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength.
Additional Momentum:
The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales.
Momentum Integration:
These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100.
Trend Detection:
Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish.
Overbought/Oversold Zones:
Additional thresholds highlight extreme value zones for potential mean-reversion trades.
🧩 Inputs Overview
RSI Length - Controls the primary RSI calculation length (default 20).
Source - Selects the price source for the RSI calculation (default: close).
Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12).
MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected).
ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected).
Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55).
Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45).
Overbought Threshold - RSI level indicating overbought conditions (default 85).
Oversold Threshold - RSI level indicating oversold conditions (default 15).
📌 Usage Notes
Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies.
Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing.
Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset.
Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes.
Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability.
Intrabar Updates: Signals may update on lower timeframes for responsive trading.
Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators.
Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe.
⚠️ Disclaimer
This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator!
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
Divergence Detector [KTY] Divergence Detector
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Detects divergences in real-time across 6 indicators: MACD, RSI, Stochastic, CCI, Momentum, MFI.
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📊 FEATURES
- Multi-Indicator Detection
- Scans 6 indicators simultaneously
- MACD, RSI, Stochastic, CCI, Momentum, MFI
- Divergence Types
- Bullish Divergence (Green): Price lower low, indicator higher low → ↑
- Bearish Divergence (Red): Price higher high, indicator lower high → ↓
- Visual Display
- Arrow lines connecting pivot points
- Labels showing indicator names with direction (↑/↓)
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✅ HOW TO USE
- Bullish divergence → Check for potential upward move
- Bearish divergence → Check for potential downward move
- Multiple indicators diverging → Higher reliability
- Combine with S/R levels for confirmation
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💡 TIPS
- Divergence indicates "possibility" not certainty
- Strong trends may ignore divergences
- Higher timeframe divergences are more reliable
- Use with other indicators for confirmation
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
Trigonum ChannelAn awesome oscillator that allows you to identify market waves with a mean deviation limit to filter out noise.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
By Ludovic B
Modified source code of SeerQuant
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
Friendly Stretch Band Regime + Filters (Close Confirm + Hold)What it is
A calm, regime-based stretch band that highlights only three states: BUY zone, SELL zone, and Neutral. Designed to reduce noise and visual overload by avoiding markers, labels, and background tint.
How it works
Bands are built from an EMA basis ± ATR.
BUY Zone: price below lower band (lower band turns green)
SELL Zone: price above upper band (upper band turns red)
Neutral: price inside bands (bands grey)
Stability Options
Confirm on Close: requires CLOSE beyond the band (reduces wick spikes)
Hold Bars: holds zone state for N bars after the trigger ends (reduces flicker)
Optional Filters (applied only if enabled)
Trend filter (basis slope or slow EMA)
ATR expansion gate
Minimum exceed beyond band (ATR units)
Suggested Use
Best used as a clean “location/context” tool on swing timeframes (e.g., 4H). It can be paired with a separate momentum/confirmation tool.
Repainting & Disclaimer
Uses only current and historical bar data (no security() calls). Values may update on the realtime bar before close. Educational use only; not financial advice.
Pair Correlation Oscillator (Overlay)Pair Correlation Oscillator (Overlay)
Overview
This open-source TradingView indicator computes the Pearson correlation coefficient between the chart's instrument (Ticker A) and a user-selected instrument (Ticker B). The correlation is displayed as an oscillator within the range −1..+1:
+1 — perfect positive correlation
0 — no linear correlation
−1 — perfect inverse correlation
Key features
Default window: 500 bars (configurable)
Option to compute correlation on log returns (recommended for comparing different instruments)
Option to exclude the current unfinished bar (use previous completed bars only)
Overlaid line + histogram columns for immediate visual interpretation
Alert examples included (commented out) for high correlation thresholds
Inputs
Ticker 2 — the other instrument to compare against (Ticker 1 is always the chart symbol)
Correlation length — window in bars for the rolling correlation (default 500)
Use log returns — converts price series to log returns before correlation (recommended)
Exclude current bar — shift series by 1 to use only completed bars
How to use
Add the script to your chart and set Ticker 2 to the instrument you want to correlate with the chart symbol.
Choose Use log returns = true for price-to-price comparisons (it removes level bias).
Optionally enable Exclude current bar for more stable signals if you do not want the live unfinished bar affecting results.
Use the line/histogram and label shown on the chart to inspect correlation in real time.
Limitations & notes
Correlation measures linear relationship over the chosen window — non-linear relationships won't be captured.
Very different tickers (e.g., price scales, very low liquidity) may show noisy correlation; use returns and longer windows in such cases.
This indicator is for information/analysis only — not trading advice.
Directional Movement Index (DMI)This Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features.
📊 Core Indicator Components:
1. Directional Indicators:
+DI (Green line): Measures upward trend momentum
-DI (Red line): Measures downward trend momentum
ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off)
2. Key Calculations:
Uses built-in ta.dmi() function to calculate all three components
isBull condition: Determines current bias based on which DI line is higher
Bull signal: When +DI crosses above -DI
Bear signal: When +DI crosses below -DI
🎨 Visual Design Features:
1. Chart Plotting:
Thick lines (width=3) for +DI and -DI for better visibility
Color-coded plots: Green (+DI), Red (-DI), Blue (ADX)
2. Background Highlighting:
Light green background on bullish crossovers
Light red background on bearish crossovers
Uses 60% transparency for subtle visual cues
3. Real-time Status Panel:
Fixed table in the middle-right of the chart
Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text
Updates on every bar to show current market bias
4. Line Labels:
Text labels at the right edge identifying each line
Color-matched to their respective indicators
ADX label only appears when ADX is enabled
⚙️ User Controls:
ADX toggle: Show/hide the ADX line
DI Length: Adjust calculation period (default 17)
ADX Smoothing: Fine-tune ADX smoothing (default 1)
📈 Trading Application:
Trend Identification: Which direction has stronger momentum
Signal Generation: Crossovers indicate potential trend changes
Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak
Visual Clarity: Multiple visual cues make signals easy to spot
🖥️ Display Logic:
The script intelligently handles what to display based on user settings
When ADX is disabled, it plots na (not available) to avoid scale distortion
All visual elements update dynamically with each new bar
🎯 Unique Aspects:
Multi-layered visualization: Combines lines, background colors, labels, and a status table
Clean separation: Uses box-drawing characters to organize code sections
Right-edge labeling: Makes indicator identification clear even on crowded charts
Immediate bias recognition: The large text table provides instant market bias assessment
This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score.
By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash.
Why this version is superior
In a classic Z-Score calculation:
Z = (Price - SMA) / (Standard Deviation)
A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling.
The ATR-Based Solution:
Z = (Price - SMA) / ATR
By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts.
Key Features
Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements.
Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points.
Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes.
How to Trade with it
1. Mean Reversion (Buy the Dip / Sell the Rip)
Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line.
Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line.
2. Breakout Trading
A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout.
In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading.
Summary
✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
Range Volatility Oscillator [Session Adjusted]Description
This open-source indicator calculates a volatility oscillator based purely on price range expansion/contraction (High − Low), making it especially suitable for instruments with well-defined trading sessions (FTSEMIB, DAX, ES, NQ, forex majors during London/NY overlap, etc.).
Instead of using price returns or close-based volatility, it compares short-term and long-term simple moving averages of the daily range, then expresses the relative difference as a percentage oscillator — similar in spirit to a MACD-style momentum readout, but applied to volatility itself.
Core Concept
Fast SMA(range, fast × candles_per_session)
Slow SMA(range, slow × candles_per_session)
Oscillator = 100 × (Fast / Slow − 1)
Positive values → recent ranges are expanding compared to the longer-term average (rising volatility / potential trend acceleration or breakout environment).
Negative values → ranges are contracting (falling volatility / potential consolidation or mean-reversion setup).
Zero line acts as the neutral pivot between expanding vs contracting regimes.
Key Features
- Session-aware calculation — user inputs session duration (default 6.5 h) → automatically estimates how many candles = 1 trading day on the current timeframe
- Works on any timeframe (1 min → daily), including irregular ones
- Optional signal line (SMA of the oscillator) for smoother readings and crossover strategies
- Clean, minimalistic plot with customizable colors
- Zero line always visible (dotted)
Typical Usage Ideas
- Rising oscillator + above zero → increasing volatility → favor momentum / breakout / trend-following strategies
- Falling oscillator / below zero → decreasing volatility → consider mean-reversion, tightening stops, or waiting for compression → expansion setups
- Signal line crossovers — fast line crossing above signal = short-term volatility pickup, crossing below = volatility cooling
- Divergences between price and the oscillator can sometimes highlight weakening trends (classic volatility divergence)
Combine with trend filters (EMA, VWAP, SuperTrend), support/resistance or volume for higher-probability setups.
Recommended Starting Settings
Session Duration: 6.5–8.5 hours (adjust to your market — e.g. 8.5 for many European indices, 6.5 for US regular session).
Fast SMA Length: 5 days
Slow SMA Length: 15 days
Signal-line Length: 3 days (if enabled)
Best results usually appear on intraday timeframes (3 min – 30 min) and on instruments with clear session boundaries and meaningful daily ranges.
Notes / Limitations
- Pure range-based → ignores gaps, overnight moves and volume
- Not normalized to ATR or percentage of price → readings are relative within each instrument
- Very low-liquidity / very small-range instruments may produce noisy output
Released under open source — feel free to modify, combine with other logic or use in strategies.
Feedback and improvements are welcome!
BTC - NMI: Network Metabolism IndexBTC - Network Metabolism Index (NMI) | RM
Concept & Background
The Network Metabolism Index (NMI) is a fundamental valuation model that treats Bitcoin as a biological organism. While price is the "face" of the asset, the NMI measures its "internal organs"—specifically its physical security and its social circulation.
Computational Logic: The Assembly Line
To arrive at the final NMI score, the indicator follows a rigorous four-step deterministic process:
• Step 1: Metric Selection: We ingest three high-fidelity data streams from Glassnode. Difficulty (Security), Active Addresses (Utility), and Market Cap (Price).
• Step 2: Fair Value Proxy (FVP) Computation: We calculate the network's intrinsic strength using a modified Metcalfe Law. We square the Active Addresses to account for network effect growth and multiply it by the Square Root of Difficulty to weight the value by physical security.
• Step 3: Log-Ratio Normalization: Because the FVP represents astronomical values of physical and social work, we calculate the Natural Logarithm of the Market Cap divided by the FVP . This places the data into a usable, though deep-negative, "dimensionless" territory.
• Step 4: Denoising & Banding: We apply a 14-day Least Squares Moving Average (LSMA) to the result to strip away daily volatility. Finally, we wrap the curve in 1.5 Standard Deviation bands to identify statistical "Fever" (Overvalued) and "Starvation" (Undervalued) zones.
The Y-Axis is measured in Nats (Natural Logarithmic Units). Important: Users should treat these units as dimensionless . Because the fundamental proxies for security and utility are so mathematically dominant, the resulting values reside in a negative logarithmic territory . The absolute numerical value is secondary to the morphology of the curve and its position relative to the dynamic Sigma bands.
Core Features / User Inputs
• LSMA Denoising: A linear regression filter to reveal structural trends.
• Dynamic Sigma Bands: 365-day rolling bands that adapt to Bitcoin's maturing market cycle.
• Regime Audit Dashboard: Real-time classification of the network state.
How to Read The Chart
• Metabolic Starvation (Blue Zone): Security and utility are significantly higher than price reflects. A generational value opportunity.
• Metabolic Fever (Red Zone): Price is over-extended relative to the network's biological reality.
• Neutral (Grey): Price and health are in a sustainable balance.
Data Feed Disclaimer
This indicator requires access to the Glassnode professional data feeds (Difficulty, Active Addresses, and Market Cap). Users without a valid subscription to these alternative data sets will not see the oscillator render. This script is intended for macro analysis; it is not financial advice.
General Disclaimer
This indicator is a mathematical model based on historical on-chain data. It is intended for educational purposes and macro analysis. On-chain metrics are lagging by nature and should be used in conjunction with a robust risk management strategy. This is not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, OnChain, Glassnode, FundamentalAnalysis, MetcalfeLaw, Quant, Macro, Difficulty, ActiveAddresses, ValuationModel, NetworkMetabolism
TX Stealth Pro: International EditionTX Stealth Pro is a high-performance, intra-day monitoring terminal specifically designed for index futures traders (optimized for Taiwan Index Futures - TX). This indicator merges a sleek, "Stealth" dashboard UI with critical session-based technical levels, allowing traders to monitor trend direction, volatility, and key liquidity zones without cluttering the price action.
Moon Phases Final Moon Phases Visualizer DescriptionThis script is a comprehensive tool for traders who incorporate lunar cycles into their analysis. Unlike many basic indicators, this one is optimized for Pine Script v6 and utilizes a precise astronomical calculation based on the synodic month cycle ($29.53059$ days).The indicator helps identify potential "turn window" periods often associated with New Moons and Full Moons in financial astrology and cyclical analysis.Key FeaturesDual Visualization: Displays a smooth lunar cycle oscillator ($0-100\%$) in a separate pane while simultaneously plotting phase labels directly on the price chart.Smart Overlays: Using the latest force_overlay technology, the script keeps your price scale clean while showing Moon emojis (🌕/🌑) and an info table in the main area.Real-time Tracking: An elegant dashboard in the top-right corner shows the current phase percentage and status at a glance.Full Moon & New Moon Alerts: Visual signals are generated at the exact peak of the cycle, making it easy to spot historical correlations with price reversals or volatility spikes.How to read it:🌕 Full Moon (50%): Often associated with high volatility or local price extremes.🌑 New Moon (0%/100%): Often marks the beginning of a new cycle or a potential trend exhaustion.The Curve: Watch the oscillator to anticipate approaching lunar events before they happen.Technical DetailsThe calculation is anchored to a high-precision historical New Moon timestamp (January 6, 2000), ensuring the phase accuracy remains consistent even when scrolling back through years of historical data.
Disclaimer: This indicator is for educational and entertainment purposes only. Lunar cycles are a part of financial astrology and cyclical analysis, but they should not be used as a standalone signal for trading. Past performance does not guarantee future results. Always use proper risk management and combine this tool with other technical or fundamental analysis methods. Not financial advice.
EZ Range MACD + DASH - ELECTZA**EZ Range MACD + DASH – ELECTZA**
A streamlined MACD momentum indicator built to reduce false signals in choppy markets. It combines a classic **MACD + Signal + Histogram** display with an **ATR-based range detector** that identifies low-volatility compression zones. When the market is ranging, momentum is muted and the script prioritizes “WAIT” conditions to help you avoid noise. Clear **BUY/SELL arrows** print only when MACD crossovers occur outside of detected range conditions. The built-in **dashboard** (bottom-right) gives a quick at-a-glance read of the **Overall Market State** (Bullish / Bearish / Ranging) plus the current **trade recommendation** (Buy / Sell / Wait), making it easy to track momentum and market quality without clutter.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, use proper risk management, and consider consulting a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
DF Advanced Sector & RS AnalysisDF Advanced Sector & RS Analysis
Overview
This indicator is an all-in-one dashboard designed to give you an instant "health check" on any asset. Instead of opening multiple charts to check the market trend, sector performance, and fundamentals, this tool brings all that data into a single table on your screen.
It automatically detects if you are looking at a Stock, Crypto, or Forex pair and adjusts its benchmarks accordingly.
Key Features
1. Smart Asset Detection
Stocks: Compares performance against the S&P 500 (SPY).
Crypto: Compares performance against Bitcoin (BTC).
Forex: Compares performance against the US Dollar Index (DXY).
2. Sector Intelligence (Stocks Only)
If you are trading a stock, the indicator automatically identifies its sector (e.g., Technology, Energy, Finance) and compares the stock against that specific sector ETF.
Sector Trend: Tells you if the sector is in an Uptrend or Downtrend.
vs Sector: Shows if your stock is outperforming its own industry.
3. Relative Strength (RS) & Alpha
RS Rating (0-100): A score derived from RSI logic that measures how strong the asset is compared to the benchmark. A score above 70 is bullish.
Alpha: Shows how much the asset is beating (or lagging) the market over the last 20 days.
4. Fundamental Snapshot
Growth: Displays EPS (Earnings) and Revenue growth. You can toggle these between TTM (Trailing 12 Months) for a smoother view or Quarterly for recent performance.
Valuation: Displays the P/E Ratio (TTM). This is always calculated using Trailing Twelve Month data to provide a standard valuation metric.
5. The "Verdict" Score
The indicator combines Technicals, Fundamentals, and Sector Strength into a final 0-100 Score:
STRONG (Green): High probability setup (Score > 70).
NEUTRAL (Grey): Mixed signals (Score 50-70).
RISK (Red): Weak performance or fundamentals (Score < 50).
How to Use
Add to Chart: The table will appear in the corner of your screen.
Check the Score: Look for assets with a "STRONG" verdict.
Analyze the RS: Ensure the RS Rating is high (green) to confirm the asset is a market leader.
Check the Sector: For stocks, it is safer to buy when the "Sector Trend" is UP.
Settings
Table Position: Move the dashboard to any corner of the screen.
Text Size: Adjust the size to fit your screen resolution.
Financials Mode:
TTM: Uses 12-month data (Smoother, standard for long-term analysis).
Quarterly: Uses the most recent quarter vs. the same quarter last year (More volatile, good for earnings plays).
Note: P/E Ratio is always TTM regardless of this setting.
Disclaimer
This tool is for informational purposes only and does not constitute financial advice. Always do your own research before trading.
ElectZA MACD Range Momentum Filter**ElectZA MACD Range Momentum Filter (EZ_RangeMACD)** is a clean MACD-style momentum tool that helps you avoid choppy, low-volatility periods. It uses **ATR compression** to detect when price is likely ranging (and visually shades those zones), then **filters signals** so buy/sell triggers only appear when the market is *not* in a range. You get a color-coded histogram (gray in ranges, green/red in trends), classic MACD + signal lines, and optional crossover/crossunder markers to highlight higher-quality momentum shifts.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, test strategies on a demo account, and consider seeking advice from a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
Mizan v7.8-S: Pure PSI ObserverDescription:
1. General Overview The Mizan v7.8-S is a specialized high-precision market observer designed to quantify the "Ontological Stability" of financial assets. Unlike traditional indicators that rely solely on price action, this tool projects market data onto a proprietary "PSI Scale" to measure the potential energy and structural integrity of a trend. It operates on the "Pure Justice" (Mizan) theoretical framework, distinguishing between constructive stability and chaotic degradation.
2. Key Features
Proprietary PSI Scoring: A unique algorithm that converts market momentum into a standardized stability score (0 - 310,000 Scale).
Stability Protocol Visualization: Automatically colors the trend line to indicate the current state of the asset (Green for Stable/Constructive, Red for Unstable/Chaotic).
Cyclic Time Markers: Includes deterministic time-cycle markers ("Pulse" and "Reset" points) to identify theoretical inflection points in the market rhythm.
Axiom Floor & Peak: Visual references for the theoretical limits of the analyzed asset.
3. How to Use
Trend Analysis: Observe the color of the PSI line. A transition from Red to Green indicates that the asset has crossed the critical threshold and entered a stable trend structure.
Cycle Timing: Use the geometric markers (Diamonds and Circles) to anticipate potential shifts in market rhythm or exhaustion points based on the Mizan temporal constants.
Risk Assessment: The distance of the PSI score from the "Axiom Peak" or "Axiom Floor" provides a perspective on the asset's current potential relative to its theoretical limits.
4. Invite-Only Access This script is a closed-source implementation of a proprietary algorithmic kernel ("Mizan Universal Kernel"). It contains protected logic and experimental constants derived from private research.
Access: Access to this indicator is restricted. To request access or learn more about the methodology, please contact me via private message on TradingView.
Note: This tool is intended for advanced cycle analysis and experimental observation.
