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.
波動率
Cumulative Volume Delta[MIT]Cumulative Volume Delta Depth
This indicator provides a simplified approximation of Cumulative Volume Delta based on candlestick structure, helping to estimate short-term aggressive buying vs. selling pressure.
Core Calculation Logic:
Delta ≈ Volume × (Close - Open) / (High - Low)
- Positive Delta when the candle has a strong bullish body (more aggressive buying)
- Negative Delta when the candle has a strong bearish body (more aggressive selling)
- Near zero when the body is very small (indecision / balanced pressure)
Key Features:
- Column chart shows cumulative Delta (resets on new day by default)
- Orange line = smoothed Delta (default 5-period SMA)
- Teal tint for positive values, maroon tint for negative values
- Zero line for easy visual reference of net buying/selling shifts
Use Cases:
- Identify short-term buying/selling dominance
- Spot divergences (e.g. price makes new high but Delta fails to confirm → potential exhaustion)
- Works best on high-volume instruments (futures, crypto, liquid stocks)
Limitations:
- This is an approximation based on OHLC structure, NOT real tick-by-tick order flow
- Long shadows, small bodies, gaps, or low-volume bars may distort the result
- Best used in combination with other volume/price tools (VWAP, OBV, volume spikes, etc.)
Parameters:
- Cumulative Period: Controls lookback/reset logic (default 200 bars)
- Smoothing Period: Length of Delta moving average (default 5)
- Show MA: Toggle orange smoothed line on/off
这是一个基于K线形态粗估的累计成交量Delta指标，用于近似判断短期内主动买方与主动卖方的力量对比。
核心计算逻辑：
Delta ≈ Volume × (Close - Open) / (High - Low)
- 当阳线实体较长时，Delta为正值（偏向买方主动）
- 当阴线实体较长时，Delta为负值（偏向卖方主动）
- 小实体或十字星时Delta接近0
指标特点：
- 柱状图显示累计Delta（可每日重置）
- 橙色线为Delta的平滑均线（默认5周期，可调）
- 正值区域用青色系着色，负值区域用酒红色系着色
- 零轴辅助线，便于观察多空转折
适用场景：
- 辅助判断日内/短线多空力量变化
- 结合价格走势观察是否有背离（价格创新高但Delta不创新高，可能见顶）
- 适合期货、加密货币、活跃股票等成交量较大的品种
局限性：
- 这只是基于K线结构的近似估算，并非真实逐笔方向分类
- 对长影线、小实体K线或跳空行情可能失真
- 建议结合其他量价指标（如VWAP、OBV、成交量放大）一起使用
参数说明：
- 累计周期：控制Delta是否每日/每周重置（默认200根，建议设大值保持连续性）
- 平滑周期：Delta平滑均线的长度（默认5）
- 显示均线：是否显示橙色平滑线
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.
Dual Red Volume Reversal IndicatorThis indicator works by watching volume patterns
first a small green volume
followed by 2 large red volumes
followed by a small green volume
indicates potential reversal
ATR ZLEMA [QuantAlgo]🟢 Overview
The ATR ZLEMA indicator identifies trend direction and reversal points using a Zero Lag Exponential Moving Average (ZLEMA) combined with volatility-adjusted dynamic trailing stops. It eliminates the inherent lag of traditional moving averages while incorporating Average True Range (ATR) volatility measurement to create adaptive support and resistance levels that automatically adjust to market conditions, with optional noise filtering to reduce whipsaws in choppy markets, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its zero-lag trend detection system combined with volatility-adaptive trailing stops, where the ZLEMA eliminates moving average lag while ATR-based bands provide dynamic support and resistance levels:
lag = math.floor((zlemaLength - 1) / 2)
rawZlema = ta.ema(source + (source - source ), zlemaLength)
The Zero Lag EMA calculation uses lag reduction through data compensation, adding the difference between current price and lagged price to eliminate the delay inherent in traditional exponential moving averages, providing faster response to trend changes while maintaining smoothness.
The script incorporates an optional ATR-based noise filter that prevents the ZLEMA from updating during insignificant price movements, helping to reduce false signals in choppy, range-bound markets:
if enableNoiseFilter
noiseThreshold = atr * noiseFilter
priceChange = math.abs(rawZlema - zlema)
if priceChange > noiseThreshold
zlema := rawZlema
First, the indicator calculates the Average True Range to measure current market volatility, then applies a user-defined multiplier to determine the distance of the trailing stop from the ZLEMA:
atr = ta.rma(ta.tr(true), atrLength)
atrBand = atr * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether the ZLEMA is above or below the ATR trailing line, automatically adjusting the trailing stop position:
if trend == 1
if zlema < zlemaATR
trend := -1
zlemaATR := zlema + atrBand
else
zlemaATR := math.max(zlemaATR, zlema - atrBand)
The ATR trailing line acts as a volatility-adjusted stop that follows the ZLEMA during trends but never moves against the trend direction. It ratchets upward with the ZLEMA in uptrends and ratchets downward in downtrends, creating a protective barrier that adapts to market volatility.
Finally, trend reversal signals are generated when the ZLEMA crosses the ATR trailing line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines ZLEMA with dynamic support/resistance levels and optional noise filtering, providing traders with responsive directional signals and automatic stop-loss levels that adjust to both price momentum and market volatility conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): ZLEMA trading above ATR trailing line with indicator showing bullish color, indicating established upward momentum with zero-lag confirmation = Long/Buy opportunities
▶ Bearish Trend (Red): ZLEMA trading below ATR trailing line with indicator showing bearish color, indicating established downward momentum with zero-lag confirmation = Short/Sell opportunities
▶ ATR Trailing Line as Dynamic Support: In uptrends, the trailing line acts as volatility-adjusted support level that rises with ZLEMA, never declining = Use as potential stop-loss reference for long positions = ZLEMA holding above indicates trend strength and momentum continuation
▶ ATR Trailing Line as Dynamic Resistance: In downtrends, the trailing line acts as volatility-adjusted resistance level that falls with ZLEMA, never rising = Use as potential stop-loss reference for short positions = ZLEMA holding below indicates trend weakness and momentum continuation
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading styles and market conditions. "Default" provides balanced configuration suitable for swing trading on daily and 4-hour charts with standard ZLEMA and ATR periods, moderate multiplier, and moderate noise filtering that works across most market conditions. "Fast Response" delivers aggressive configuration designed for intraday trading and scalping on 5-minute to 1-hour charts with shorter ZLEMA period for quick trend detection, reduced ATR period for rapid volatility adaptation, tighter multiplier for early entries/exits, and minimal noise filtering for maximum responsiveness. This is ideal for active traders monitoring positions closely but expect more frequent signals and potential whipsaws in choppy conditions. "Smooth Trend" focuses on conservative configuration for position trading and long-term trend following on daily to weekly charts with extended ZLEMA period for smoother trend identification, longer ATR period for stable volatility measurement, wide multiplier to filter minor corrections, and aggressive noise filtering to ensure only strong sustained trends trigger signals. This is best for patient traders focused on major trend moves with fewer reversals.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and zero-lag momentum shifts. "Bullish Trend" triggers when the ZLEMA crosses above the ATR trailing line and trend state changes from bearish to bullish, signaling potential long entry opportunities with lag-eliminated confirmation. "Bearish Trend" activates when the ZLEMA crosses below the ATR trailing line and trend state changes from bullish to bearish, signaling potential short entry or long exit points with immediate momentum detection. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all zero-lag momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring, leveraging the indicator's zero-lag technology for faster trend change alerts.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the ATR trailing line and ZLEMA, with higher transparency values (70-95) creating subtle background context without overwhelming the chart while lower values (20-40) produce bold, prominent trend zone emphasis for instant recognition. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves based on ZLEMA trend state, providing immediate visual reinforcement of current trend direction without requiring reference to the indicator lines.
RSI Momentum & Trend Suite - O59 Elite QuantRSI Momentum & Trend Suite – O59 Elite Quant
Professional Market Structure & Momentum Analysis Tool
RSI Momentum & Trend Suite – O59 Elite Quant is a comprehensive technical analysis indicator designed to help traders better understand market momentum, trend structure, price reactions, and key support & resistance zones directly on the chart.
This indicator combines RSI-based momentum analysis, dynamic bar coloring, price action signals, and automatic trend & support/resistance detection into a single, clean visual framework.
🔹 Momentum & Bar Coloring Logic
The indicator includes a custom RSI momentum engine that evaluates short-term price changes and momentum strength.
Candles are automatically colored when momentum reaches critical zones:
Above 70 → Strong bullish momentum
Below 30 → Strong bearish momentum
This candle coloring helps traders instantly recognize momentum extremes without switching to a separate RSI pane.
🔺 Buy & Sell Triangle Signals
The script generates triangle-based buy and sell signals based on a combination of:
RSI oversold / overbought conditions
Short-term price action behavior
Candle structure and confirmation logic
These signals are intended to highlight potential reaction zones, not to predict the market.
They work best when used together with trend direction and support/resistance levels.
📈 Automatic Trend Detection
The indicator automatically identifies ascending and descending trend structures using pivot-based swing analysis.
Trendlines are drawn dynamically based on higher lows and lower highs
Broken trendlines are automatically removed to keep the chart clean
Both bullish and bearish trends are visually distinguished
This allows traders to quickly assess whether the market is trending or losing structure.
🟦 Dynamic Support & Resistance Levels
Key support and resistance levels are detected using recent pivot points:
Levels extend forward in real time
Broken levels are removed automatically
Helps identify potential reaction, rejection, and liquidity zones
These levels are designed to adapt continuously as market structure evolves.
🧾 Information Table & Visual Themes
A customizable information table is displayed on the chart, showing:
Indicator name
Current symbol
Active timeframe
Author branding
Users can choose between multiple visual themes, allowing better readability and personal preference while maintaining a professional appearance.
⚠️ Important Notes & Risk Disclaimer
This indicator is designed as a technical analysis support tool only.
It does not provide financial advice
Signals and visual elements should not be used alone
Always confirm signals with your own strategy, risk management, and market context
⚠️ Special caution is advised during:
Low-volume sessions
Weekend price action
High-impact news events
Thin liquidity hours
Market conditions during these periods may produce false signals or reduced reliability.
📌 Final Disclaimer
This indicator is for educational and analytical purposes only.
It is not investment advice.
All trading decisions remain the sole responsibility of the use
Relative Strength Leadership Engine v2.0Relative Strength Leadership Engine v2.0OverviewThe Relative Strength Leadership Engine v2.0 is a context-first diagnostic tool designed to identify true market leadership. Instead of simple ratio lines, this script employs a multi-layered scoring model to determine if a symbol is truly outperforming its benchmark (e.g., SPY) or simply riding market beta.The Problem It SolvesMany relative strength indicators fail to distinguish between idiosyncratic leadership and market correlation. A stock might look strong simply because it is a high-beta names moving in lockstep with a rising index. This engine uses Pearson Correlation Filtering and Volatility Normalization to decouple these factors.How It Works (The Math)To ensure full transparency for the TradingView community, the "Leadership Score" (0–100) is calculated based on four proprietary technical pillars:Baseline Alignment (30 pts): Measures if the $Price / Benchmark$ ratio is above its 21-period EMA.Volatility-Normalized Momentum (25 pts): We calculate a Z-score of the RS slope and divide it by the asset's ATR % of price. This ensures momentum is measured by "clean" price action rather than high-beta volatility spikes.Beta-Decoupling (20 pts): Using ta.correlation, the script penalizes "Market Huggers." Points are awarded when a stock shows strength independent of the benchmark's immediate fluctuations.Freshness & Highs (25 pts): Points are awarded for proximity to 252-day relative strength highs, identifying stocks entering a "Power Zone" of leadership.Interpreting the StatesThe dashboard in the bottom-right identifies three distinct permission states:ENGAGE (Score 80+): Full leadership permission. The asset is outperforming with idiosyncratic strength and clean momentum (See FDX example in the gallery).OBSERVE (Score 50–79): Leadership is present but aging or overly correlated to the market (See MU example in the gallery).STAND DOWN (Score <50): Leadership is broken; the asset is a relative laggard (See CBLL example in the gallery).Technical FeaturesMulti-Timeframe Validation: Optional Weekly/Monthly RS confirmation to filter out "noise."Benchmark Timing Filter: A built-in gate that checks if the broader market (Benchmark) is in a "Risk-Off" regime.Non-Repainting: All security calls use lookahead=barmerge.lookahead_off to ensure historical accuracy.Customizable UI: Toggle the dashboard on/off via the "Style" menu for a cleaner workspace.DisclaimerThis script is an informational diagnostic tool and does not generate trade signals, entries, or exits. Educational use only.
Core IC 2.0
## 📌 NIFTY Weekly Option Seller — Core Regime & Risk Framework
This indicator is designed for **systematic weekly option selling on NIFTY**, focused on **Iron Condors (IC), Put Credit Spreads (PCS), and Call Credit Spreads (CCS)**.
It is **not a scalping tool** and **not a signal generator**.
Instead, it provides a **structured decision framework** to help option sellers decide:
* *What structure to deploy* (IC / PCS / CCS)
* *How aggressive to be* (position size & distance)
* *When to adjust* (defend / harvest / regime change)
---
## 🔍 What the Indicator Does
### 1️⃣ Market Regime Detection
The script continuously evaluates the market and classifies it into one of three regimes:
* **IC (Range / Mixed)** – neutral, mean-reverting conditions
* **PCS (Trend Up)** – bullish trend continuation
* **CCS (Trend Down)** – bearish trend continuation
Regime selection is based on:
* EMA structure
* ADX (trend strength)
* VWAP positioning
* Higher timeframe (daily) trend alignment
---
### 2️⃣ Independent Conviction Scores
The indicator computes **three independent scores (0–5)**:
```
IC / PCS / CCS
```
These scores represent **conviction strength**, not trade signals.
* Higher score = stronger suitability for that structure
* All three scores are always visible for transparency
Only **one active score** (based on the current regime) is used for:
* Position sizing
* Strike distance suggestions
* Risk management logic
---
### 3️⃣ Risk-First Position Guidance
Based on the active score, the indicator suggests:
* **Position Size** (100% / 50% / 25%)
* **Short strike distance** (ATR-based, dynamic)
* **Defend / Harvest conditions**
* **Regime change alerts**
This helps traders remain **consistent and disciplined**, especially during volatile weeks.
---
### 4️⃣ Visual Decision Panel
A compact panel displays all key information at a glance:
* Regime (IC / PCS / CCS)
* ATR & ADX
* Suggested size
* Suggested short distance
* IC / PCS / CCS scores
* Key reference levels (H3 / L3, VWAP)
No guesswork, no over-trading.
---
## 🕒 Recommended Usage
* **Best timeframe:** 1H or 4H
* **Ideal style:** End-of-day or limited-check traders
* **Designed for:** Weekly option sellers (not intraday scalpers)
Adjustments are intended to be made **at fixed checkpoints**, not every candle.
---
## ⚠️ Important Notes
* This is **not financial advice**
* The indicator does **not place trades**
* Works best when combined with:
* Defined stop-loss rules
* Fixed risk-reward discipline
* Proper position sizing
---
## 🎯 Who This Is For
✔ Rule-based option sellers
✔ Traders focused on consistency over excitement
✔ Professionals who value structure and risk control
❌ Not for discretionary scalpers
❌ Not for beginners without options knowledge
Volume Weighted LR Z ScoreThis indicator calculates the Volume Weighted Linear Regression
Z-Score (VWLRZS). Unlike a standard Z-Score which measures
deviation from a static mean, this oscillator measures the
statistical distance of price from a dynamic Volume-Weighted
Linear Regression Line (Analysis of Residuals).
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
standard Regression Residuals using the selected `Source`
for both the regression line (baseline) and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and fits the Linear Regression
through these statistical centers. This creates a
stable, trend-following expectation model.
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this regression line.
(Result: A Z-Score that measures deviations from the current
trend slope rather than a flat average).
2. **Visual Decomposition Logic:** Total Standard Deviation (of
Residuals) is the primary metric displayed. Since Standard
Deviations are not linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)),
this indicator calculates the *exact* Total Z-Score and partitions
the area underneath based on the Variance Ratio. This ensures the
displayed total volatility remains mathematically accurate while
showing relative composition.
3. **Normalization (Exponential Regression):** Includes an optional
'Normalize' mode. When enabled, the indicator calculates the
Linear Regression on logarithmic data. Mathematically, this
transforms the baseline into an **Exponential Regression Curve**,
making it ideal for analyzing assets with compounding growth
characteristics (constant percentage trend).
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Volume Weighted Z ScoreThis indicator calculates the Volume Weighted Z-Score (VWZS), a
statistical oscillator that measures the number of standard deviations
the price is removed from its mean. It combines robust volatility
decomposition with advanced divergence detection.
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
a simple (Volume-Weighted) Standard Deviation using the
selected `Source` for both the baseline and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and volatility. This creates a
stable, mathematically idealized expectation value (mu).
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this statistical baseline.
(Result: A Z-Score that combines a noise-filtered trend
baseline with a highly reactive price signal).
2. **Visual Decomposition Logic:** Total Standard Deviation is the
primary metric displayed. Since Standard Deviations are not
linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)), this indicator
plots the *exact* Total StdDev and partitions the area underneath
based on the Variance Ratio. This ensures the displayed total
volatility remains mathematically accurate while showing relative
composition.
3. **Normalization (Geometric Average):** Includes an optional
'Normalize' mode. When enabled, the indicator uses a
Geometric Moving Average (GMA) as its baseline and applies a
statistical correction for the log-normal distribution
ensuring symmetry between upside and downside movements.
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Beta Coefficient & RSI Table (Midcaps vs Majors)Beta Coefficient & RSI Table (Midcaps vs Majors)
This script builds a comprehensive beta comparison framework between midcap assets and majors for benchmarks, enhanced with a simple RSI midline strategy for clean entry and exit signaling.
In addition to beta-based relative analysis, the script:
Computes raw RSI values on midcap assets for standalone trend qualification
Evaluates every midcap/major ratio combination using the same RSI-based regime logic
Produces binary (0 / 1) signals suitable for systematic filtering and automation
Designed with automation in mind, this script is perfect for daily alerts that can send webhooks externally, and is fully compatible to reliably daily close updates for:
Ratio beta comparisons (midcaps vs majors)
Binary RSI crossover signals on each ratio
Base midcap trend state (RSI > 45 indicating an active uptrend) - 45 made for a slightly faster entry signal if used as a preliminary filter
This makes the table ideal for automated system building, signal aggregates, and hands-off portfolio logic.
Full credits to @MarktQuant and @NianiaFrania🐸 for the original script source.
ADR% - Average Daily Range % by TrinhDuongSMWThe ADR% (Average Daily Range Percentage) is a volatility measurement tool designed to help traders understand the typical price movement of a stock over a specific period. Unlike the standard ATR (Average True Range) which uses absolute price points, ADR% expresses volatility as a percentage of the stock's price, making it easier to compare volatility across different tickers regardless of their share price.
[AboBassel] RS + RS.ROC + Inverted ATR (Unified Channel)
This is a multi-indicator channel tool combining Relative Strength (RS), RS Rate of Change (RS.ROC), and Inverted ATR Percentage (ATRP) into a single unified channel for clear visual trend analysis.
Features:
• All three lines are normalized into one visual channel with five distinctive threshold levels (Upper/Lower Curbs, Inner Bands, and Middle).
• RS , ATR , ROC Lines all are invertable for better follow up on trends
• RS.ROC period and timeframe are editable independently from RS.
• ATR time frame and lookback period are fully adjustable.
• Channel thresholds are fully editable. Lines can exceed upper/lower curbs, showing extreme conditions.
• Suitable for trend detection, swing trading, and risk assessment.
Usage Tips:
• Look for lines crossing bands or curbs for potential trade setups.
• Observe background color for overall market sentiment.
• Major blue arrows indicate strong shifts in trend direction.
Ideal For: Swing traders, trend followers, and advanced technical analysts who want combined momentum, volatility, and relative strength insights in a single chart.
STDV Extension Zones from Daily Open - OnlyFlowSTDV Extension Zones from Daily Open
This indicator plots standard deviation extension zones based on the current day’s opening price. At the start of each trading day, it calculates the daily standard deviation using a configurable lookback and projects price zones at ±0.5 and ±1.0 standard deviations above and below the daily open.
Each zone is displayed as a horizontal band with a center line and a customizable thickness, extending forward throughout the session. Zones automatically reset and lock in place when a new day begins, preserving prior sessions for historical context.
The indicator is designed to visually highlight statistically significant price extensions relative to the daily open, helping users quickly identify areas where price may be stretched, balanced, or reacting around volatility-based levels.
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto.
It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes.
This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone.
Core Concept
This indicator answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band.
How It Works
1. DEMA Baseline (fast + low lag)
A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior.
2. Volatility Engine (Standard Deviation)
Volatility bands are created using:
Raw Source Volatility
Classic standard deviation behavior
Residual vs Baseline Volatility
Measures deviations from the DEMA baseline for cleaner regime detection
Band formula:
Upper Band = baseline + multiplier × stdev
Lower Band = baseline − multiplier × stdev
3. SuperTrend Trailing Regime Logic
Instead of flipping every touch, the bands trail using SuperTrend persistence rules:
Bull regime → active lower band acts as support
Bear regime → active upper band acts as resistance
Flips occur only when price breaks beyond the trailing band.
Visual System
Bull regime: Ice-Blue active band
Bear regime: Violet active band
Optional faint inactive bands provide structure
Optional fill highlights the active regime corridor
Optional candle painting matches the regime state instantly
Alerts Included
Bull Flip Alert → regime turns bullish
Bear Flip Alert → regime turns bearish
Perfect for automation or regime-based filtering.
How to Use
✅ Trend filter for swing trading
✅ Regime confirmation layer for systems
✅ Works best on higher timeframes (4H / 1D)
✅ Combine with momentum or breakout triggers for entries
Inputs Summary
DEMA Length → baseline responsiveness
Volatility Length + Multiplier → band width + sensitivity
Volatility Mode → raw vs residual volatility
Flip Source → Close or HL2 for regime switching
Visual toggles → fill, candles, inactive rails
Screenshot Placement
📸 Example chart / screenshot:
Tip: show one bullish flip + one bearish flip with candle painting enabled.
Worldclassedge [Patrick nill]plotshape(long, title="BUY", text="Long▲", style=shape.labelup, textcolor=color.white, size=size.auto, location=location.belowbar, color=color.green)
plotshape(short, title="SELL", text="Short▼", style=shape.labeldown, textcolor=color.white, size=size.auto, location=location.abovebar, color=color.red)
alertcondition(long, title="BUY", message="Long▲")
alertcondition(short, title="SELL", message="Short▼")
// VWAP
anchor = input.string("Session", title="Anchor Period")
MILLIS_IN_DAY = 86400000
dwmBarTime = timeframe.isdwm ? time : request.security(syminfo.tickerid, "D", time)
dwmBarTime := na(dwmBarTime) ? nz(dwmBarTime ) : dwmBarTime
var periodStart = time - time
makeMondayZero(dayOfWeek) => (dayOfWeek + 5) % 7
isMidnight(t) => hour(t) == 0 and minute(t) == 0
isSameDay(t1, t2) => dayofmonth(t1) == dayofmonth(t2) and month(t1) == month(t2) and year(t1) == year(t2)
isOvernight() => not (isMidnight(dwmBarTime) or request.security(syminfo.tickerid, "D", isSameDay(time, time_close), lookahead=barmerge.lookahead_on))
tradingDayStart(t) => timestamp(year(t), month(t), dayofmonth(t), 0, 0)
numDaysBetween(t1, t2) =>
diff = math.abs(tradingDayStart(t1) - tradingDayStart(t2))
diff / MILLIS_IN_DAY
tradingDay = isOvernight() ? tradingDayStart(dwmBarTime + MILLIS_IN_DAY) : tradingDayStart(dwmBarTime)
isNewPeriod() =>
var isNew = false
if tradingDay != nz(tradingDay )
isNew := switch anchor
"Session" => na(tradingDay ) or tradingDay > tradingDay
"Week" => makeMondayZero(dayofweek(periodStart)) + numDaysBetween(periodStart, tradingDay) >= 7
"Month" => month(periodStart) != month(tradingDay) or year(periodStart) != year(tradingDay)
"Year" => year(periodStart) != year(tradingDay)
=> false
isNew
srcVWAP = hlc3
var float sumSrc = 0
var float sumVol = 0
if isNewPeriod()
periodStart := tradingDay
sumSrc := 0
sumVol := 0
if not na(srcVWAP) and not na(volume)
sumSrc += srcVWAP * volume
sumVol += volume
vwapValue = sumSrc / sumVol
plot(vwapValue, title="VWAP", color=color.red, linewidth=3)
// =
enableCloud = input.bool(false, "Enable Cloud")
lenn = input.int(20, "Period")
mult = input.float(2.5, "StdDev Multiplier")
tc = input.int(25, "Gauge Size", minval=3)
upColor = input.color(#00ffbb, "Up Color")
downColor = input.color(#ff1100, "Down Color")
basis = ta.sma(close, lenn)
upper1 = basis + ta.stdev(close, lenn) * mult
lower1 = basis - ta.stdev(close, lenn) * mult
// TP
var int position = 0
if long
position := 1
else if short
position := -1
Volume + ATR Robust Z-Score Suite (MAD)Plots relevant volume with relevant volatility using z-core to calculta de deviations
Std Dev Channel [fmb]What it is
A professional regression channel that combines standard deviation divisions, an extreme price envelope, and a trend quality gauge. It is designed for fast read-and-act decisions on any timeframe, with sensible presets and log-space math for instruments that trend exponentially.
Why it’s different
Most channels draw fixed ±1σ and ±2σ around a regression line. This tool adds:
- Fibonacci-spaced σ divisions for precise scaling
- An objective MaxEnvelope of actual extremes with optional 1.272 and 1.618 extensions
- Pearson’s R labelling that classifies the trend as Strong Up, Moderate, Weak, or Strong Down
- A log-space option so channels behave correctly on long trends and high beta charts
How it works
Base line
- Linear regression of the last Length bars, drawn as a ray.
- Optional colour change by regime using Pearson’s R.
Divisions (StdDev or MaxEnvelope)
- StdDev basis: σ of residuals around the regression line.
- MaxEnvelope basis: distances from the base line to the farthest highs and lows in the lookback.
- Divisions can be Fibonacci multiples (0.382, 0.618, 1.000, 1.272 by default) or uniform steps.
Outer rails
- ENV 1.0 touches the farthest highs and lows within the window.
- Optional extensions at 1.272 and 1.618 highlight stretch and breakout zones.
Trend quality (Pearson’s R)
- R is computed on the same series and window.
- Default thresholds: Strong when |R| ≥ 0.70, Weak when |R| < 0.40.
- The label reads: R 0.XXX • Class, plotted near the most recent base value.
Log-space math
- When enabled, the model runs on ln(price) and converts the outputs back to price.
- Safer on multi-year charts and large percentage trends.
Presets
- Swing: Length 125, StdDev basis, Fib divisions, ENV 1.0 and 1.272 on
- Intraday: Length 240, StdDev basis, simple ±1 and ±2 style divisions, ENV off by default
- Position: Length 200, StdDev basis, compact Fib set for higher timeframes
You can turn preset overrides off to make every input respond instantly.
Inputs you will actually use
- Length, Source, Log-space ON or OFF
- Basis: StdDev or MaxEnvelope
- Divisions: Fib list or Step and Max multiple
- Outer rails: show ENV 1.0, show 1.272, show 1.618
- Labels and sizes, extend left or right
- Hide divisions or outer rails automatically when the regime is Weak
Alerts included
- Close crosses above or below ENV 1.0
- Close crosses above or below ENV 1.272 and 1.618 (if enabled)
Practical playbook
Trend following
- In Strong Uptrend: buy pullbacks near 0.382 to 0.618 above the base with stops just beyond the next lower division.
- In Strong Downtrend: sell bounces into 0.382 to 0.618 below the base with stops just beyond the next upper division.
Mean reversion
- When R is Moderate or Weak, fade moves that tag ENV 1.0 back toward the base.
- If price closes through an ENV extension, treat it as potential regime change and stand down on fades.
Breakouts
- A close through ENV 1.0 with R rising toward Strong often precedes trend acceleration.
- Use the next division or the 1.272 rail as the first target and trail on the base.
Tips
- Keep Length stable across symbols you compare. Consistency beats curve fitting.
- Use log-space on multi-year equities and crypto. Use linear for short intraday work.
- If you want a classic look, disable Fib and rails, set Step 1.0 and Max 2.0.
Notes
- The tool draws more lines when Fib divisions are active. If it feels busy, show divisions only and hide labels, or keep ENV 1.0 plus one extension.
- Pearson’s R is descriptive, not predictive. Combine with price structure and volume for entries.
Volatility Heatmap & ATR Pane# Volatility Heatmap & Synchronized ATR Pane
This indicator provides a comprehensive view of multi-symbol volatility, displaying a dynamic heatmap table and a synchronized ATR (Average True Range) panel. It is designed to help traders identify periods of abnormal market activity or "volatility squeezes" across multiple assets simultaneously.
## Methodology & Calculation:
The core metric of this tool is **Relative Volatility (Rel. Vol %)**. It compares the current ATR to its historical baseline to determine if the current price movement is expanding or contracting relative to the norm.
The calculation logic is as follows:
1. **ATR Calculation:** We calculate the ATR over a user-defined period (default is 14).
2. **Baseline SMA:** We calculate a Simple Moving Average of that ATR (default is 50).
3. **Relative Percentage:**
$$Rel. Vol \% = (Current ATR / SMA(ATR)) * 100$$
## Key Features:
* **Multi-Symbol Dashboard:** Monitor up to 10 custom symbols (e.g., BINANCE:BTCUSDT, BINANCE:ETHUSDT) in a single table.
* **No-Repaint MTF Logic:** Uses `request.security()` with `lookahead = barmerge.lookahead_off` to ensure data integrity and prevent any historical rewriting.
* **Dynamic Status Alerts:**
* **SLEEPING (<70%):** Extremely low volatility.
* **NORMAL (100-130%):** Standard market movement.
* **EXTREME (>200%):** Significant volatility spike, often preceding trend exhaustion or breakouts.
* **Synchronized Pane:** The bottom panel displays the raw ATR and its average for the chart's current symbol, perfectly aligned with the dashboard's timeframe.
## How to Use:
1. Add the script to your chart.
2. In the settings, input your preferred symbols under the "Symbols 1-10" section.
3. Use the "Volatility Timeframe" input to lock the calculation to a specific timeframe (e.g., 1D) or leave it empty to sync with your current chart.
4. Watch the "Rel. Vol %" column to spot assets that are starting to "wake up" (moving from Blue/Low to Green/Rising).
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps.
I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies.
My CPR OI tool kit includes following.
Triple EMA
Stochastic - for trend catching
Previous Low/high base trial and visual indication
Price action concepts
Reversion logic.
Visual indication - buy / sell / setup initialization / exit
Visual dashboard.
---
## 🎨 Visual Signal Guide
| Marker | Meaning | Action |
|--------|---------|--------|
| 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout |
| 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** |
| 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** |
| 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** |
| 💧 Aqua "R" | Mean reversion long | Scalp opportunity |
| 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity |
---
## 💰 Open Interest Interpretation
| Status | Price vs Prev | OI Change | Meaning |
|--------|---------------|-----------|---------|
| **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions |
| **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions |
| **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) |
| **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) |
---
## 🔔 Alerts (All Enabled by Default)
1. "LONG Signal | Stochastic confirmed | EMA Bullish"
2. "SHORT Signal | Stochastic confirmed | EMA Bearish"
3. "EMA Alignment: BULLISH/BEARISH"
4. "Position CLOSED - Trailing Stop Hit"
---
