OPEN-SOURCE SCRIPT
Quant Grade Stochastic
The Quant Grade Stochastic is an institutional-level momentum workstation designed to solve the primary flaw of traditional oscillators: static overbought and oversold levels. In modern markets, static 80/20 or 70/30 levels often lead to "premature fading" in strong trends or missed entries during low-volatility regimes.
This script replaces fixed levels with Adaptive Volatility Zones—dynamic bands that expand and contract based on the market's standard deviation. This allows traders to identify true momentum extremes relative to current market conditions, not arbitrary numbers.
🚀 Key Quant Features
1. Adaptive Volatility Zones (Mean Reversion)
Unlike the standard Stochastic, the OB/OS levels are calculated using a volatility-adjusted engine. When volatility spikes, the zones expand to prevent "false" overbought signals. When volatility drops, the zones contract to catch micro-extremes.
2. Momentum Heatmap (Acceleration Analysis)
The %K line is color-coded based on its internal slope and acceleration.
Bright Colors: Indicate strong momentum and acceleration.
Dull Colors: Indicate momentum deceleration—a quant-grade "early warning" that a trend is tiring even before a crossover occurs.
3. Institutional Dashboard
A real-time status table that provides a high-level overview of market mechanics:
Trend Filter: Instant identification of the primary trend using a 200 EMA.
Volatility State: Quantifies if current market volatility is High or Low relative to its 50-period average.
Position State: Classifies the oscillator’s current location (Overbought, Oversold, or Neutral).
4. Dual Divergence Engine
Detects two distinct types of momentum anomalies:
Regular Divergence: Traditional reversal signals where price and momentum disconnect.
Hidden Divergence: Quant-grade trend continuation signals, identifying high-probability pullbacks in a trending market.
5. Smart Fade Signals
Markers specifically designed for the "Return-to-Range" strategy. When the %K line exits an extreme volatility zone and crosses back inside, a FADE signal is generated. These signals are visually filtered by the 200 EMA trend engine to prioritize "With-Trend" opportunities.
💡 How to Trade
The Fade Strategy: Wait for the %K line to go above the Adaptive Upper Zone. When it crosses back under that zone, look for a short entry. The "FADE" marker highlights this exact moment.
The Trend Follower: Use Hidden Divergence markers during pullbacks in a Bullish Trend (confirmed by the Dashboard) to find low-risk continuation entries.
Volatility Squeeze: When the Adaptive Zones are extremely tight (indicated by "Low" Volatility on the Dashboard), look for a Momentum Heatmap breakout to signify the start of a new expansion.
🛠️ Settings
Engine: Choose from 5 different smoothing types (SMA, EMA, WMA, HMA, ALMA).
Adaptive Zones: Customize the Standard Deviation multiplier to tighten or loosen your extremes.
Multi-Timeframe: Sync your momentum analysis with higher timeframes without leaving your current chart.
Quant Filter: Toggle the 200 EMA trend filter to clean up counter-trend noise.
This script replaces fixed levels with Adaptive Volatility Zones—dynamic bands that expand and contract based on the market's standard deviation. This allows traders to identify true momentum extremes relative to current market conditions, not arbitrary numbers.
🚀 Key Quant Features
1. Adaptive Volatility Zones (Mean Reversion)
Unlike the standard Stochastic, the OB/OS levels are calculated using a volatility-adjusted engine. When volatility spikes, the zones expand to prevent "false" overbought signals. When volatility drops, the zones contract to catch micro-extremes.
2. Momentum Heatmap (Acceleration Analysis)
The %K line is color-coded based on its internal slope and acceleration.
Bright Colors: Indicate strong momentum and acceleration.
Dull Colors: Indicate momentum deceleration—a quant-grade "early warning" that a trend is tiring even before a crossover occurs.
3. Institutional Dashboard
A real-time status table that provides a high-level overview of market mechanics:
Trend Filter: Instant identification of the primary trend using a 200 EMA.
Volatility State: Quantifies if current market volatility is High or Low relative to its 50-period average.
Position State: Classifies the oscillator’s current location (Overbought, Oversold, or Neutral).
4. Dual Divergence Engine
Detects two distinct types of momentum anomalies:
Regular Divergence: Traditional reversal signals where price and momentum disconnect.
Hidden Divergence: Quant-grade trend continuation signals, identifying high-probability pullbacks in a trending market.
5. Smart Fade Signals
Markers specifically designed for the "Return-to-Range" strategy. When the %K line exits an extreme volatility zone and crosses back inside, a FADE signal is generated. These signals are visually filtered by the 200 EMA trend engine to prioritize "With-Trend" opportunities.
💡 How to Trade
The Fade Strategy: Wait for the %K line to go above the Adaptive Upper Zone. When it crosses back under that zone, look for a short entry. The "FADE" marker highlights this exact moment.
The Trend Follower: Use Hidden Divergence markers during pullbacks in a Bullish Trend (confirmed by the Dashboard) to find low-risk continuation entries.
Volatility Squeeze: When the Adaptive Zones are extremely tight (indicated by "Low" Volatility on the Dashboard), look for a Momentum Heatmap breakout to signify the start of a new expansion.
🛠️ Settings
Engine: Choose from 5 different smoothing types (SMA, EMA, WMA, HMA, ALMA).
Adaptive Zones: Customize the Standard Deviation multiplier to tighten or loosen your extremes.
Multi-Timeframe: Sync your momentum analysis with higher timeframes without leaving your current chart.
Quant Filter: Toggle the 200 EMA trend filter to clean up counter-trend noise.
開源腳本
秉持TradingView一貫精神，這個腳本的創作者將其設為開源，以便交易者檢視並驗證其功能。向作者致敬！您可以免費使用此腳本，但請注意，重新發佈代碼需遵守我們的社群規範。
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。