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
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!
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
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.
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
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
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
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs
This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?"
The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session.
Features & Methodology
1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes:
Daily & 4-Hour: Establishes the macro direction.
15-Min & 5-Min: Monitors intraday order flow.
Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish.
2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range.
Range High & Low: Defining the volatility of the opening hour.
Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount).
Quadrants (25% & 75%): Deep discount/premium zones for precision entries.
3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading.
Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them.
Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level.
Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet.
How to Use This Indicator
This tool is designed to identify Confluence:
Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green).
Wait for 10:30 AM EST: Allow the script to draw the First Hour Range.
Trade the Confluence:
Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels.
Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels.
Settings & Customization
Dashboard Toggle: Show or hide the table to keep charts clean.
Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps.
Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles.
Credits & Attribution
Concept: Inner Circle Trader (Michael Huddleston).
Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?"
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
YesterWAPThe VWAP describes intra-day price action in "value-space" (quantity * price). By weighting prices based on the volume transacted, the VWAP attempts to reflect the "fair-market" value of an asset.
The VWAP is reset periodically, often at daily open, creating a "gap."
The YesterWAP tracks the gap for you.
Every time the VWAP is about to reset to LastPrice, the YesterWAP resets to it, first.
When yesterday's players clock back in today, they'll try to sort their (losing) positions out, at yesterday's VWAP, the YesterWAP.
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.
ST | ATR Trailing StopA precise volatility-based Trailing Stop designed for momentum trading. This indicator helps remove emotional decision-making from exits by trailing the price based on the Average True Range (ATR).
ST | TTM SqueezeThis is a minimalist implementation of the classic "Squeeze" setup, designed to declutter your chart. Instead of complex histograms, this indicator focuses solely on the binary state of volatility compression.
How it works: It identifies periods where volatility contracts significantly, often preceding explosive moves.
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
