Daily ATR + DeltaThis indicator shows last value of ATR with this parameters: Length 14, Smoothing RMA, Timeframe 1 day i Wait for timeframe closes.
Also, it shows Delta in percentage.
Delta is calculated in this way: -((the last one-minute closing price of the previous day's stock exchange)-(last price at the moment))/(value of ATR) * 100
Notice:
If you are in postmarket or premarket, delta will be also calculated from the "the last one-minute closing prices of the previous day's stock exchange" not from the "the last one-minute closing price of the todays stock exchange".
You dont need to have indicator Average True Range for this indicator to be working.
ボラティリティ
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing):
An "OS" (Offside) above the previous bar indicates an overshoot.
A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot.
Then you can set a Beer-style trigger, for example:
Enter when the price breaks through the high of the STOP bar.
Or enter when the price closes green above the high of the STOP bar.
Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system
designed for short-term trend continuation.
Core features:
• Regression-based SuperTrend with flip detection
• Pullback + reclaim entry logic (non-repainting, bar-close confirmed)
• Regime filter (Trend vs Range suppression)
• Exhaustion detection to avoid late entries
• ADX + EMA bias alignment
• USDT Dominance risk filter (risk-on / risk-off)
• Clear BUY / SELL and Pullback AI-style entry labels
This is NOT a trading bot and does NOT place orders.
All signals are for analytical and educational purposes only.
Institutional Confluence Nexus [Pro]The Problem: Noise vs. Signal
In the world of Smart Money Concepts (SMC), traders are often overwhelmed by "chart clutter." Standard indicators blindly highlight every Fair Value Gap (FVG) and Order Block (OB), regardless of whether the market is trending, ranging, or dead. This leads to analysis paralysis and low-probability entries.
The Institutional Confluence Nexus was built to solve this. It is not just a structure detector; it is a filtering engine. It uses a multi-factor model to hide low-probability zones and only highlight setups where Structure, Volume, and Momentum align.
The "Quantum" Integration
This script includes a built-in Quantum Regression Oscillator (QRO) engine running in the background. Unlike standard RSI or MACD which are reactive (lagging), the QRO uses Linear Regression mathematics to project momentum trajectory.
By combining institutional structure (Price Action) with quantum momentum (Math), this tool generates specific high-probability signals that only appear when price action and momentum are in perfect agreement.
How It Works & Visual Guide
This indicator is a complete trading suite. Here is what every symbol and color on your chart represents:
1. The "Nexus" Reversal Signals (Triangles)
Symbol : Green Triangle (Up) / Red Triangle (Down) labeled NEXUS.
Logic : These appear when price taps a valid Order Block that aligns with the macro trend (200 EMA).
Meaning : These are your primary "Trend Join" setups. They indicate that the institutional trend is resuming after a retracement.
2. High-Volume Breakouts (Bar Colors)
Symbol : Yellow Candles (Bullish) / Orange Candles (Bearish).
Logic : The script detects when a Break of Structure (BOS) occurs with Above-Average Volume.
Meaning : A breakout without volume is often a fakeout. These colored bars confirm that institutions are fueling the move. If you see a Yellow bar, it means "Smart Money" is buying the breakout.
3. QRO Confluence Signals (Labels)
These are the most advanced signals in the suite, combining Price Action with the internal Oscillator:
SNIPER (Blue/Purple) : The strongest reversal signal.
Condition : Price taps a Fair Value Gap + The internal QRO is at extreme volatility bands (Oversold/Overbought).
PB BUY / PB SELL (Aqua/Orange) : A trend continuation signal.
Condition : Price pulls back into a Fair Value Gap + The internal QRO confirms momentum is still healthy (above/below midline).
Note : These signals automatically draw a Red Line at the invalidation point (Stop Loss) to help you manage risk immediately.
4. The Confluence Dashboard
A non-intrusive Heads-Up Display (HUD) in the corner gives you a snapshot of the market state:
Trend : Is price above/below the 200 EMA?
Volume : Is current volume anomalous (High) or normal?
Structure : Are we breaking up, down, or ranging?
Settings & Customization
Smart Money Structure: Toggle FVGs and Order Blocks on/off.
FVG Extend: Control how far the gap "zones" extend to the right to see them as support/resistance zones.
Volume Filter: Enable/Disable the volume requirement (Keep enabled for higher strike rate).
Risk Management: Adjust the "Lookback" period for the automatic Stop Loss lines.
For Developers (Open Source)
I have kept the code open-source to foster learning in the Pine Script community. You can study how:
ta.linreg is used to smooth RSI data for the internal QRO engine.
box.new and line.new are used for dynamic drawing and extending zones.
var variables are used to store historical FVG levels to detect precise crossovers.
Disclaimer:
This tool is designed to assist with technical analysis and educational purposes. It does not guarantee profits. Always manage your risk and use this in conjunction with your own analysis.
Sri - 26 Volume Bar: D/W/M with SMA 20📊 Sri – 26 Volume Bar (D / W / M)
Enhanced Volume Visibility with Buy–Sell Range & MA
Sri – 26 Volume Bar is a visual-first, multi-timeframe volume analysis tool created to solve a common TradingView limitation:
Traditional volume (including free built-in volume) becomes visually compressed, unreadable, or unusable when combined with other indicators or panels.
This script reconstructs and re-displays volume in a clean, scalable, and directional format, making volume clearly visible even in indicator-heavy layouts.
🔹 Why this indicator exists (Problem → Solution)
❌ Problem with traditional volume
Built-in volume bars:
Become too small when multiple indicators are applied
Lose relative clarity across timeframes
Do not show buy vs sell participation
Are hard to interpret when scaling is shared with other plots
✅ Solution provided by this script
Volume is redrawn independently using object-based rendering
Bars are scaled relative to recent volume, not chart height
Display is forward-projected, avoiding overlap with price or indicators
Buy and Sell volume ranges are visually separated
Result: Clear, readable volume analysis even in complex chart setups
🔹 Core Features & Originality
1️⃣ Multi-Timeframe Volume Reconstruction (D / W / M)
Volume is fetched from Daily, Weekly, or Monthly timeframes using request.security()
Timeframe selection:
Auto – adapts to chart timeframe
Manual – fixed D / W / M
Enables higher-timeframe volume insight on any chart
2️⃣ Buy–Sell Volume Range Visualization
Each volume bar is split into Buy and Sell ranges
Calculated using candle anatomy:
Buy volume → (Close − Low)
Sell volume → (High − Close)
Helps identify:
Accumulation vs distribution
Demand vs supply imbalance
Participation strength within each bar
This goes beyond standard volume by showing where volume occurred, not just how much.
3️⃣ Enhanced Visibility vs Free Traditional Volume
Volume bars:
Maintain consistent height and clarity
Are independent of other indicators
Remain readable even when many scripts are active
Ideal for traders who:
Use multiple indicators
Trade from clean layouts
Rely on volume confirmation but dislike clutter
4️⃣ Volume Moving Average (Optional Confirmation)
SMA or EMA applied to higher-timeframe volume
Helps identify:
Volume expansion
Volume contraction
Breakout or exhaustion conditions
🔹 How to use this indicator
Best use cases:
Confirm breakouts using higher-TF volume strength
Spot accumulation before price expansion
Detect weak moves with low participation
Improve volume readability on crowded charts
Suggested setup:
Intraday charts → Auto (Daily volume)
Swing trading → Weekly volume
Positional analysis → Monthly volume
⚠️ Important Notes
This is not a buy/sell signal indicator
Buy/Sell volume is an estimated range, intended for comparative analysis
Designed as a confirmation and context tool, not a standalone system
🔒 Why the source is protected
This script uses:
Custom multi-TF array handling
Object-based volume rendering
Dynamic scaling independent of chart compression
Forward-projection logic for clean visualization
While the concept and usage are fully explained, the implementation is protected to preserve originality.
✅ Summary
Sri – 26 Volume Bar transforms traditional volume into a clear, scalable, directional tool, solving the visibility limitations of standard volume — especially when multiple indicators are used.
Combined Indicators V2 by DeepsageCombined Indicators V2 – Overview
Combined Indicators V2 is an advanced trading indicator that builds on Combined Indicators V1 by Deepsage and Weighted Market Screener by Deepsage. It is designed to provide precise signals for long and short trades on very low timeframes (1m–5m) while aligning entries with the overall market trend.
Background: The Original Indicators
1. Combined Indicators V1 (Deepsage)
Combines three specialized indicators to generate signals:
Breakout Indicator: Uses Bollinger Bands and volume behavior to identify potential breakout trades.
Price Action Indicator: Detects price interaction with support and resistance levels, incorporating trend, volatility, and candlestick patterns.
Range Trading Indicator: Calculates RSI or Stochastic oscillator and plots signals against predefined upper and lower bands for range-bound markets.
2. Weighted Market Screener (Deepsage)
Monitors the overall market trend using 12 different indicators, each weighted based on its relevance.
Produces a market trend rating: strong buy, buy, neutral, sell, or strong sell.
What’s New in V2
1. Trend-Aligned Entries
In V2, the entry indicators (Breakout, Price Action, Range Trading) only generate signals when the Market Screener confirms the trend (can be turned off).
Long trades: Screener must rate the market as Buy or Strong Buy.
Short trades: Screener must rate the market as Sell or Strong Sell.
2. Session-Based Optimization
V2 supports the NY, London, and Tokyo trading sessions.
Each indicator can be restricted to the session where it performs best (can be turned off):
NY: Breakout Indicator
London: Price Action Indicator
Asia: Range Trading Indicator
3. Additional Enhancements
Market Screener locked to 15-minute timeframe, giving a clear view of the overall trend while entries are still executed on 1-minute charts.
Fully customizable alerts for buy and sell signals.
Settings allow traders to toggle indicators and alerts on/off for maximum flexibility.
Summary
Combined Indicators V2 is a powerful, session-aware, trend-aligned trading tool that merges multiple strategies into one cohesive system. It allows traders to:
Trade low timeframes with precise entries
Only take trades that align with the overall market trend
Optimize strategies based on trading sessions
Customize alerts and indicator settings for personal preferences
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
M1 propath📊 M1 PROPATH – Smart Trend & Level Indicator
M1 PROPATH is a powerful all-in-one trading indicator designed for trend identification, momentum confirmation, and precise entry zones. It combines four proven tools into a single, easy-to-use system.
🔹 Included Components
🔁 Supertrend
Identifies overall market trend (Bullish / Bearish)
Helps traders stay on the right side of the market
Useful for trend-following and trailing stop logic
📈 Bollinger Bands (BB)
Measures volatility and price expansion
Highlights overbought and oversold zones
Helps in spotting pullbacks and breakout setups
📉 EMA Pack (Exponential Moving Averages)
Shows dynamic support and resistance
Confirms trend strength and momentum
Useful for scalping, intraday, and swing trading
🧭 Gann Levels (Square of 9 Based)
Displays important price levels derived from Gann theory
Helps identify high-probability reversal and reaction zones
Works perfectly with BB and Supertrend for confluence-based entries
Squeeze Indicator Squeeze Indicator is a volatility-focused indicator designed to identify periods of compression and the early transition into expansion.
It measures Bollinger Band Width (BBW) using a 20-period Bollinger Band to quantify how tightly price is coiling, then smooths BBW with a 16-period SMA and a faster 8-period EMA to distinguish structural compression from short-term changes in volatility.
The BBW itself is displayed as a subtle grey filled area to emphasize relative contraction and expansion, while a squeeze condition is highlighted whenever BBW falls below both its SMA and EMA, signaling an environment where volatility is suppressed and a directional move is more likely to follow.
Crossovers of the EMA above or below the SMA provide early warnings of volatility expansion or renewed compression, making the indicator especially useful for timing breakouts, anticipating regime shifts from range to trend, and managing options strategies that depend on changes in volatility rather than price direction.
Session VWAP Cumulative BiasThe Session VWAP Cumulative Bias indicator is designed to differentiate between "choppy" price action and true "institutional" trend days. Unlike standard VWAP indicators that only show where price is now, this tool tracks the cumulative sentiment of the entire session.
Core Functions:
Cumulative Z-Score Logic: It calculates the distance between price and VWAP (in Standard Deviations) and sums it up over the course of the day. This reveals the "weight" of the market bias—the longer price stays pinned away from the VWAP, the more extreme the histogram becomes.
Scale Protection: It includes a "Capping" mechanism that prevents morning gaps or low-volume outliers from distorting the scale, ensuring the histogram remains readable from open to close.
Momentum vs. Regime Toggles: Users can switch between VWAP Slope (measuring the speed of the average's movement) and Cumulative Bias (measuring total session dominance).
Visual price Overlay: It automatically colors the price candles and plots a session-anchored VWAP line on the main chart, providing a clear visual of when price is "fair" versus "overextended."
How to read it:
Trend Confirmation: A steadily growing "mountain" in the histogram confirms an institutional trend day where dips are being bought (or rips sold).
Mean Reversion: When price hits a new high but the Cumulative Histogram begins to round off or diverge, it signals that the "elastic band" is stretched and price is likely to return to the orange VWAP line.
Regime Shifts: A cross of the zero-line on the histogram indicates a total shift in session control from buyers to sellers (or vice versa).
TCT - Range BreakTCT - Range Break
Capture morning range breakouts with precision.
TCT - Range Break automatically tracks the high and low of a configurable time window and signals when price breaks out—giving you clear, actionable entries for directional moves.
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✨ FEATURES
🎯 Automated Range Detection
Captures session high/low during any user-defined window (default: 6–10 AM ET)
Fully customizable start, end, and box display times
All times in Eastern Time (auto-adjusts for DST)
📦 Color-Coded Breakout Boxes
🟢 Green — Price broke above range high (bullish)
🔴 Red — Price broke below range low (bearish)
🟡 Yellow — Both levels broken (indecisive/choppy)
⚪ Gray — No breakout (range-bound)
🐂🐻 Instant Breakout Labels
Bull/Bear emoji appears the exact moment price breaks the range
Customizable emoji and size options
📈 Built-in Statistics Dashboard
Real-time stats showing historical breakout patterns
Tracks total sessions, breakout counts, and percentage distribution
Validate your edge with hard data
🔔 Alert-Ready
Pre-configured alerts for bullish and bearish breakouts
Never miss a trade—get notified instantly
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🎮 HOW IT WORKS
Three key times define the indicator:
Range Start (default 6 AM ET) — Begin tracking session high/low
Range End (default 10 AM ET) — Lock in the range, start monitoring for breakouts
Box End (default 4 PM ET) — Stop drawing the visual box
The indicator draws two nested boxes:
Overall Box (lighter) — Full monitoring window from Range Start to Box End
Monitored Range Box (darker) — The specific window where high/low was established
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📊 STATISTICS TABLE
The dashboard shows you:
Only High (Green) — Clean bullish breakouts
Only Low (Red) — Clean bearish breakouts
Both Broken (Yellow) — Choppy, reversal-prone sessions
Neither (Gray) — Range-bound, low volatility days
One Side Only — Total clean directional moves (Green + Red)
Use this data to understand market behavior and validate your strategy.
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🛠️ CUSTOMIZATION
Adjustable time windows for any market or session
Custom colors for all breakout states
Transparency controls for chart readability
Border styles (Solid, Dashed, Dotted)
Emoji customization (type and size)
Toggle statistics table on/off
Flexible table positioning
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📈 BEST FOR
US Index Futures (ES, NQ, YM, RTY) — Default settings optimized
Forex — Adjust for London/NY session opens
Stocks & ETFs — Track opening range breakouts
Crypto — Set custom windows for your preferred sessions
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⚠️ REQUIREMENTS
Timeframe: Works on any timeframe below 1 hour (1m, 5m, 15m, 30m, 45m)
A warning will display if applied to 1H or higher
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💡 TRADING TIPS
High "One Side Only" % → Market picks a direction—ideal for breakout trades
High "Both Broken" % → Expect fakeouts—wait for confirmation or fade extremes
High "Neither" % → Low volatility—consider range strategies instead
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🔔 SETTING UP ALERTS
Click the indicator name in chart legend
Select "Add Alert on TCT - Range Break"
Choose Range Bullish Break or Range Bearish Break
Configure notifications (popup, email, webhook)
Click Create
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Built with ❤️ by The Coding Trader
Chello Pro V1 ASSAF ALGOSChello pro is all you need for scalping day trading or swing it works perfectly in all markets
It contains a special moving average for trend direction
A signals depends on crossing the high or low of the sma or the ema
A sniper bands to insure the market momentum
A market structure add for more confluence
For LONG :
Price above the MA a buy signal active a bullish choch or bos signal active the price in green band
For SHORT :
Price below the MA a SELL signal active a bearish choch or bos signal active the price in red band
Note:
Keep the sma length at 9 for fast signals and 50 for slower one
change the sniper multiplier according to your strategy
Avoid choppy markets
Its better to use stop or trigger orders above or below entry candle
Add a good order blocks indicator for better results
Chello Pro هو كل ما تحتاجه للمضاربة السريعة، أو التداول اليومي، أو التداول المتأرجح، فهو يعمل بكفاءة عالية في جميع الأسواق.
يحتوي على متوسط متحرك خاص لتحديد اتجاه الترند. تعتمد الإشارات على تجاوز أعلى أو أدنى مستوى للمتوسط المتحرك البسيط (SMA) أو المتوسط المتحرك الأسي (EMA). أضف بنية السوق لمزيد من الترابط.
للشراء:
السعر أعلى من المتوسط المتحرك: إشارة شراء فعّالة، وإشارة تذبذب صعودي (BOS) فعّالة.
للبيع:
السعر أقل من المتوسط المتحرك: إشارة بيع فعّالة، وإشارة تذبذب هبوطي (BOS) فعّالة.
ملاحظة:
اضبط طول المتوسط المتحرك البسيط (SMA) على 9 للحصول على إشارات سريعة، و50 للحصول على إشارات أبطأ.
تجنب الأسواق المتقلبة.
أضف مؤشرًا جيدًا لكتل الأوامر لتحقيق نتائج أفضل
6PM NY Session Extremes + Open (Last 20 Days)From 18:00-18:00
High of Day Time
Low of Day Time
Points
BTC 1h-10m Volatility-Adaptive Convergence Indicator VACI (ZIOB)🔍 **BTC 10m-1h VACI Scalp/Swing (ZIOB)**
✅ **VACI = Volatility-Adaptive Convergence Indicator**
• Auto-adjusts signal thresholds to Bitcoin volatility (ATR-based)
• Detects trend reversals via 11m/45m line convergence
• Blocks counter-trend signals using 4h trend filter (prevents overtrading)
* Use it in combination with volume boxes *
🎯 **IDEAL FOR:**
• **Scalpers** on 10-minute charts (ultra-short signals with 40-bar cooldown)
• **Swing traders** on 1-hour charts (medium holds with trend confirmation)
⚠️ **CRITICAL NOTES:**
• **Exclusively optimized for Bitcoin** in 10m-1h timeframes
• **"ZIOB"** is a trademark/name of ZiobMichael – no affiliation with third parties
• **NOT financial advice** – always use stop-loss and risk management
🔖 **VERSION:** 7.3.1 | **AUTHOR:** @ZIOB
Volatility Term Structure IndexVolatility Term Structure Index
The Volatility Term Structure Index represents a systematic approach to measuring market stress and complacency through the analysis of volatility derivatives and their term structure relationships. This indicator draws conceptual inspiration from academic research on volatility forecasting and the informational content embedded in options markets.
The theoretical foundation rests on decades of research documenting the relationship between implied volatility patterns and subsequent market returns. Black (1976) first documented the inverse relationship between equity returns and volatility changes, establishing a fundamental principle in financial economics. Whaley (2000) demonstrated how volatility indices reflect aggregate market fear and uncertainty, with systematic patterns preceding major market dislocations. Engle (2004) provided foundational work on volatility modeling that underpins modern risk measurement approaches.
Unlike momentum strategies that follow price trends or contrarian approaches that bet against prevailing sentiment, this indicator operates on regime-identification principles. The relationship between short-term and long-term implied volatility reveals market expectations about risk evolution. When markets expect calm conditions to persist, the volatility term structure typically exhibits an upward slope. When stress emerges, this relationship inverts as near-term uncertainty exceeds longer-term expectations. This structural information reflects the aggregate positioning of sophisticated derivatives market participants.
Methodology and calculation framework
The methodology incorporates statistical normalization techniques that transform raw volatility data into comparable standardized scores. Each component factor undergoes robust z-score calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme informed by historical predictive power and correlation characteristics.
The indicator produces values on a scale from zero to one hundred, where higher readings indicate calm market conditions and lower readings signal elevated stress. Readings above seventy suggest complacent environments where equity markets typically perform well. The zone between forty and seventy represents mixed conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions.
Internal quality mechanisms enhance signal reliability by requiring confirmation across multiple underlying factors before generating actionable signals. This reduces the probability of acting on isolated or unreliable readings and improves overall signal consistency.
Professional application and portfolio integration
Professional portfolio managers recognize the value of volatility regime indicators for risk management and tactical allocation. The fundamental insight is empirically robust: periods of low and stable volatility create supportive environments for equities, while regime transitions and elevated uncertainty warrant caution. Bollerslev, Tauchen and Zhou (2009) found that variance risk premium significantly predicts equity market returns, with volatility conditions leading price performance.
For institutional investors, the index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or tactical allocation adjustments. The indicator proves valuable when it diverges from consensus narratives, as volatility markets often recognize fundamental shifts before they appear in prices. Systematic investors can incorporate the index as a conditioning variable for position sizing.
This integration finds support in the concept that derivatives markets often lead equity markets. Options market participants including market makers and institutional hedgers frequently possess informational advantages regarding expected market movements and tail risk.
Practical implementation for individual investors
When the index rises into the favorable zone above seventy with confirmed signal quality, volatility conditions support equity exposure. When the index falls below forty, reducing allocations, increasing cash reserves, or implementing protective strategies becomes appropriate. The zone between these thresholds suggests mixed conditions where other analytical frameworks should take precedence.
Individual investors can treat readings as alerts warranting portfolio examination. A favorable reading might prompt consideration of whether current equity exposure aligns with targets. A stress reading could trigger review of risk reduction measures. The indicator should inform rather than dictate decisions, serving as one perspective within a broader analytical framework.
Fundamental investors can use volatility readings to assess whether the risk environment supports their positioning. Technical analysts may find that volatility conditions help contextualize price patterns. Quantitative investors might incorporate volatility factors into multi-factor models.
Trading behavior and strategy characteristics
The index employs a regime-based methodology identifying periods when market conditions favor risk exposure versus caution. The trading logic accumulates positions when volatility conditions indicate calm environments and reduces exposure when conditions deteriorate. This approach positions with prevailing volatility market signals, recognizing that volatility regimes exhibit meaningful persistence.
The indicator may signal favorable conditions while price fluctuations continue. This reflects underlying volatility metrics remaining supportive despite surface-level movements. The strategy maintains exposure during favorable volatility conditions even when prices experience temporary weakness, and advocates caution during volatility deterioration even when prices appear stable. Success requires trust in the underlying signals and acceptance that price action and volatility conditions may temporarily diverge.
Suitability and implementation requirements
The index aligns with investors possessing specific characteristics. A medium to long term horizon proves essential as volatility regimes operate over weeks to months. A risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature during stress periods. Comfort with systematic decision making helps maintain discipline when signals conflict with market consensus.
The indicator proves less suitable for day traders, investors requiring constant market exposure, and those unable to tolerate periods when the indicator conflicts with price trends. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates.
For appropriate investors, the index offers a systematic framework for monitoring market conditions. By providing an objective assessment of volatility regime health, it helps recognize environment shifts and consider positioning adjustments. The strategy demands patience and discipline but rewards those characteristics with potential for improved risk-adjusted returns through drawdown reduction during stress periods.
References
Ang, A. and Chen, J. (2002) Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3).
Black, F. (1976) Studies of stock price volatility changes. Proceedings of the 1976 Meetings of the American Statistical Association, Business and Economics Statistics Section.
Bollerslev, T., Tauchen, G. and Zhou, H. (2009) Expected stock returns and variance risk premia. The Review of Financial Studies, 22(11).
Engle, R. (2004) Risk and volatility: Econometric models and financial practice. American Economic Review, 94(3).
Whaley, R.E. (2000) The investor fear gauge. The Journal of Portfolio Management, 26(3).
有料スクリプト
Absorption Pro V4This indicator detects absorption-style reversal setups and scores them with a multi-factor model.
It builds key levels from ZigZag/Fibonacci and round numbers across multiple timeframes, then flags potential absorption candles using volume and a delta-proxy filter plus strict candle-structure rules. Signals are validated with trend context (MA/SMMA/EMA/ATR), VWAP positioning, and optional momentum/volatility filters (RSI, Stoch, CCI, MACD, ADX, Volume Profile). Only score-threshold crosses can trigger long/short markers and alerts (defaults tuned for NQ).
Volume Variance SuppressionVolume Variance Suppression Indicator
This indicator measures the variance of traded volume over a rolling window to detect periods of participation compression.
When volume variance falls below a defined threshold, it signals:
Reduced initiative order flow
Dominance of passive liquidity
Market balance / consolidation rather than trend
These suppression phases often precede volatility expansion, failed auctions, or impulsive moves, as liquidity builds and positioning becomes crowded.
The indicator is not directional and should be used as a market state filter, not a standalone signal. It helps distinguish balance vs expansion regimes and improves trade selection by aligning strategies with the current microstructural environment.
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Trailing Stoploss % BasedA minimalistic trend-following indicator that plots a single trailing line based on a user-defined percentage using price highs and lows.
The line:
Trails price in trends
Moves only in the direction of the trend
Flattens when price is not making new highs or lows
Acts as support in uptrends and resistance in downtrends
Useful on all instruments and all timeframes for clean trend tracking and trailing stop management.
Scalping Suitability Radar🔍 Scalping Suitability Radar + BUY / SELL / STAND-BY Signals
What this indicator is
The Scalping Suitability Radar is a decision-support indicator designed to help traders avoid low-quality scalping environments and focus only on moments when the market shows:
Sufficient volatility
Adequate liquidity (volume)
Real momentum
Meaningful trend strength
Clear entry timing
Instead of forcing trades in slow, choppy, or low-energy markets, this indicator answers one critical question first:
“Is the market even worth scalping right now?”
Only after the market is deemed scalpable does it assist with:
BUY / SELL signals
STAND-BY (anticipation) alerts
A color-coded decision table explaining why a signal exists (or why you should stay out)
🧠 Core Philosophy
Most losing scalps don’t fail because of bad entries —
they fail because the market conditions were never suitable.
This indicator is built around the idea that:
No setup is better than a forced setup.
🧩 What the indicator evaluates (automatically)
1️⃣ Volatility (ATR % + optional Bollinger Band Width)
Confirms price is moving enough to overcome:
Spreads
Slippage
Time decay (especially for options)
If volatility is too low → NO SCALP
2️⃣ Volume (Relative to recent average)
Ensures liquidity is present
Prevents entries during thin, slow tape
Low volume = unreliable signals
3️⃣ Trend Strength (ADX)
Filters out dead chop and weak direction
Optional requirement that ADX is rising, not just high
4️⃣ Momentum (MACD + Histogram)
Confirms energy behind price movement
Histogram behavior helps anticipate crosses
5️⃣ Directional Bias (RSI + optional EMA filter)
RSI confirms bullish or bearish pressure
EMA filter aligns trades with short-term structure
🟢🟠🔴 Signal Types Explained
🟢 BUY / SELL
Triggered only when all market conditions are suitable, plus:
MACD crossover in the trade direction
RSI confirms directional bias
Optional EMA trend alignment
These are actionable scalp entries , not predictions.
🟠 STAND-BY (Anticipation Signal)
This is a unique feature designed to help you prepare before the entry fires.
STAND-BY appears when:
Market is already scalpable
MACD line and signal line are very close and converging
RSI is in range or very near range
Momentum is building toward a cross
What it means:
“Conditions are aligning — be ready, but don’t enter yet.”
This is especially useful for:
Fast timeframes (30s / 1m)
Options scalping
Traders who want to avoid chasing late entries
⚪ NOT SCALPABLE / GRAY BACKGROUND
When the background is gray:
Volatility, volume, trend, or momentum is insufficient
Any signals during this period should be ignored
This is intentional capital preservation
📊 Decision Table (Built for Novice & Advanced Traders)
The on-chart table shows, in real time:
Each indicator’s current value
The minimum “good” range
Color-coded status:
🟢 Green = suitable
🔴 Red = unsuitable
Helpful notes like:
“ADX rising”
“MACD near cross”
“RSI near LONG range”
“Stand-by confirmed”
This turns the indicator into a learning tool, not just a signal generator.
⚙️ Suggested Settings by Asset Type
Use these as starting points , not absolutes.
📈 Index Futures / Index CFDs (ES, NQ, DAX)
Timeframes: 30s – 1m
Min ATR %: 0.10 – 0.15
Min BB Width %: 0.20 – 0.30
Volume Multiplier: 1.1 – 1.2
ADX Min: 18 – 22
RSI Buy/Sell: 52 / 48
EMA Filter: ON
🧾 Index Options (0DTE SPX, ES options)
Timeframes: 30s
Min ATR %: 0.12 – 0.20
Min BB Width %: 0.25 – 0.40
Volume Multiplier: 1.2 – 1.4
ADX Min: 20 – 25
RSI Buy/Sell: 53 / 47
STAND-BY: Highly recommended
🪙 Crypto (BTC, ETH, majors)
Timeframes : 1m – 3m
Min ATR %: 0.15 – 0.30
BB Width %: 0.30 – 0.50
Volume Multiplier: 1.1
ADX Min: 17 – 20
RSI Buy/Sell: 51 / 49
EMA Filter: Optional (depends on style)
📊 Large-Cap Stocks (AAPL, MSFT, NVDA)
Timeframes: 1m – 5m
Min ATR %: 0.08 – 0.12
BB Width %: 0.15 – 0.25
Volume Multiplier: 1.2
ADX Min: 18
RSI Buy/Sell: 52 / 48
🧠 Best Practices
Do not trade against gray background
Use STAND-BY to prepare, not predict
Combine with:
Market structure
Key levels
Risk management
One clean trade > ten forced trades
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only .
This is not financial advice
It does not guarantee profits or prevent losses
Markets behave differently across assets, sessions, and regimes
You are responsible for choosing settings that match:
Your trading style
Your risk tolerance
The specific asset you trade
Always test settings using paper trading or backtesting before using real capital.
RegimeWorks Context Overlay Sessions Regime Panel OutcomeMost traders ask: “Where can I enter?”
This indicator asks a better question:
“Do I even have permission to trade?”
RegimeWorks is a decision framework, not a signal generator.
It helps you filter the market before you think about entries.
RegimeWorks shows when the market has permission to trade, not when you should.
Use it to filter bad setups and focus your attention where it matters.
What This Indicator Actually Does
1) Broker-Aligned Behavior Sessions (XAUUSD)
Visualizes the real participation windows on the Fusion feed:
London Behavior: 15:00–18:00 UTC+2
NY Behavior: 21:00–00:00 UTC+2
These are liquidity behaviors, not textbook FX clocks.
The goal is simple: trade only when the market is awake.
2) High-Timeframe Permission Layer
A structured HTF filter combining:
EMA alignment & direction
ATR expansion vs baseline
Slope agreement
Stretch / over-extension guard
This becomes a single answer:
Regime VALID → continuation is allowed
Regime INVALID → stand aside
Reversal Permitted → only when trend is weak and not stretched
The panel translates conditions into plain language:
Continuation Permitted (London)
No Trade – Conditions Not Met
Reversal Permitted (NY)
It teaches process without exposing any private entry logic.
How to Use (3 Steps)
Start with the panel.
If Regime = INVALID → you’re done. No trade.
Check the session.
Closed session = no business trading.
Read the Outcome line.
It tells you what behavior is allowed — not what button to press.
Regime → Session → Setup → Execution
Best Chart Setup
XAUUSD on 1H / 4H
Keep panel visible for journaling
Use “No Trade” days as part of your edge
Who This Is For
Traders tired of overtrading
Anyone building rule-based discipline
Educators who want a clean context layer
Disclaimers
Educational tool only.
Not financial advice.
Risk management remains your responsibility.
RegimeWorks — Trade Permission First
BNF (Kotegawa) Strategy [CB Algos]STRATEGY: BNF (Kotegawa) Mean Reversion Strategy
DEVELOPED BY: CB Algos
DESCRIPTION:
This indicator replicates the trading style of Takashi Kotegawa (BNF).
It calculates the percentage deviation of the price from the 25-period SMA.
HOW TO USE:
1. Look for 'Lime' bars (Extreme Buy) or 'Teal' bars (Moderate Buy). These indicate the price has dropped significantly below the average.
2. Look for 'Red' bars (Extreme Sell) as profit-taking zones.
3. Use the Info Panel to see the exact current deviation %.
