Put Call Relative StrengthPut–Call Relative Strength (PE/CE RS)
Description
Put–Call Relative Strength compares the premium movement of a Put Option (PE) against a Call Option (CE) to detect bearish pressure in the market.
It uses the ratio:
RS = PE / CE – 1
If Puts gain strength faster than Calls, RS turns positive — indicating bearish dominance.
A moving average line helps you understand trend strength and filter noise.
This is an ideal tool for traders wanting a clear, fast view of downside momentum and Put-led trend shifts.
How to Use
1️⃣ Select PE and CE Symbols
In settings → manually enter:
Put Option (PE)
Call Option (CE)
Same strike + same expiry recommended.
2️⃣ Interpret RS
RS > 0 (Green) → Puts stronger → Bearish bias
RS < 0 (Red) → Calls stronger → Bullish bias
3️⃣ Use RS MA to Confirm Trend
RS MA rising (Green) → Bearish strength increasing
RS MA falling (Red) → Bearish strength weakening
RS MA sideways (Gray) → Indecision / range
4️⃣ Best Use Cases
Intraday short setups
PE scalping
Confirmation for breakdowns
Identifying Put-led strength surges
Best for 1m–10m timeframes
볼래틸리티
Ghost Scalp Protocol By [@Ash_TheTrader]
# 👻 GHOST SCALP PROTOCOL
### 💀 Stop Getting Trapped. Start Tracking the Banks.
Most retail traders lose because they enter exactly where institutions are exiting. They get caught in **"Stop Hunts"** and **"Fake-Outs."**
The **Ghost Scalp Protocol** is not just an indicator; it is a complete institutional trading system designed for **M1 & M5 Scalpers**. It combines **Smart Money Concepts (SMC)** with a **Physics-Based Momentum Engine ($p=mv$)** to detect high-probability reversals.
---
### ⚛️ THE LOGIC: 3-STAGE CONFIRMATION
This algorithm does not rely on lagging indicators. It uses a 3-step "Protocol" to validate every trade:
**1. THE GHOST TRAP (Liquidity Sweeps)**
* The script automatically draws "Ghost Lines" at key Swing Highs/Lows where retail Stop Losses are hiding.
* It waits for price to **sweep** these levels (Stop Hunt).
* **The Signal:** A Neon **Skull (☠️)** appears *only* if price aggressively rejects the level with high volume. This is the "Turtle Soup" pattern.
**2. THE PHYSICS ENGINE ($p = mv$)**
* Momentum is not just price speed; it is **Mass (Volume) x Velocity (Range)**.
* The dashboard calculates the "Force" of every candle.
* **The Signal:** An **Arrow (⬆/⬇)** appears when momentum surges **5x** above the average. This confirms the banks are pushing the move.
**3. BANK BIAS (Elasticity Filter)**
* Markets move like a rubber band.
* The script calculates a hidden "Fair Value" baseline.
* It creates a **Bias**: It only looks for Shorts in **PREMIUM (Shorting)** zones and Longs in **DISCOUNT (Accumulating)** zones.
---
### 📊 THE SMART DASHBOARD (HUD)
A futuristic, non-intrusive Heads-Up Display keeps you focused on the data that matters:
* **🏦 BANK BIAS:** Tells you if Institutions are likely **Accumulating** or **Shorting**.
* **📈 HTF TREND:** Automatically checks the **1-Hour Trend**. Don't fight the tide.
* **🚀 MOMENTUM:** Real-time Physics calculation.
* **Green Text:** Acceleration (Move is getting stronger).
* **Red Text:** Deceleration (Move is dying).
* **🌍 SESSION:** Shows active Bank Sessions (Tokyo, London, NY).
* **⚠️ OVERLAP ALERT:** Flashes GOLD when London & New York are open simultaneously (Peak Volatility).
---
### 🔥 STRATEGY: HOW TO TRADE
Use this checklist to execute high-probability scalps:
#### 📉 SHORT SETUP (SELL)
1. **Liquidity:** Wait for price to break above a **Red Ghost Line** (Sweep Highs).
2. **Signal:** Wait for the **Pink Skull ☠️** (Trap Detected).
3. **Confluence:**
* Dashboard Bias says: **"SHORTING"**
* HTF Trend says: **"BEARISH 📉"** (Optional but recommended).
4. **Entry:** On the Close of the Skull candle.
5. **Stop Loss:** Just above the wick swing high.
#### 📈 LONG SETUP (BUY)
1. **Liquidity:** Wait for price to break below a **Blue Ghost Line** (Sweep Lows).
2. **Signal:** Wait for the **Blue Skull ☠️** (Trap Detected).
3. **Confluence:**
* Dashboard Bias says: **"ACCUMULATING"**
* HTF Trend says: **"BULLISH 📈"** (Optional but recommended).
4. **Entry:** On the Close of the Skull candle.
5. **Stop Loss:** Just below the wick swing low.
---
### 🏆 RECOMMENDED PAIRS & TIMEFRAMES
* **⚡ Best Timeframes:**
* **1 Minute (M1):** For aggressive "Sniper" entries (High Frequency).
* **5 Minute (M5):** The "Gold Standard" for balanced Scalping.
* **15 Minute (M15):** Safer, higher win-rate Day Trading.
* **💎 Best Assets:**
* **Gold (XAUUSD):** Highly effective on liquidity sweeps.
* **Indices:** US100 (Nasdaq), US30 (Dow Jones).
* **Crypto:** BTCUSD, ETHUSD (High volatility).
* **Forex:** GBPUSD, EURUSD (London/NY Session).
---
### 🛠️ SETTINGS & CUSTOMIZATION
* **Surge Factor:** Default is **5.0x**. Lower this to 3.0 if you want more aggressive Momentum Arrows.
* **Smart Sessions:** Automatically converts to **New York Time** (EST) regardless of your location. No more time zone math.
* **Visuals:** Designed with "Ghost Glow" technology—97% transparent backgrounds that look classy and don't clutter your chart.
---
**"The Ghost Algo sees what you can't."**
*Trade Safe. Trade Smart.*
**~ Ash_TheTrader**
Call Put Relative Strength Call–Put Relative Strength compares the premium movement of a selected Call Option (CE) against a selected Put Option (PE) to reveal the underlying market’s bullish strength.
It calculates a clean ratio:
RS = CE / PE – 1
When Calls are gaining strength faster than Puts, the RS turns positive — signaling bullish momentum.
A smoothing moving average adds clarity and filters intraday noise.
This is a powerful tool for intraday traders who want to quickly identify whether buyers or sellers are dominating the market.
How to Use
1) Select CE and PE Symbols
Open indicator settings → manually enter:
Call Option (CE)
Put Option (PE)
Use same strike + same expiry.
2) Interpret RS
RS > 0 (Green) → Calls stronger → Bullish bias
RS < 0 (Red) → Puts stronger → Bearish bias
3) Use RS MA for Trend Confirmation
RS MA rising (Green) → Strength increasing
RS MA falling (Red) → Strength weakening
RS MA flat (Gray) → Market neutral
4) Best Use Cases
Intraday trend confirmation
Scalping CE trades
Avoiding false long entries
Tracking CE/PE rotation strength
Works best on 1m–10m charts
KC Multi-TF ATR TableThis indicator is a comprehensive risk management tool designed to help traders gauge market volatility and determine rational Take Profit (TP) and Stop Loss (SL) levels. It allows you to analyze both the current timeframe and higher timeframes (15m, 1H, 4H, Daily) at a single glance.
Key Features:
Multi-Timeframe (MTF) Dashboard:
Displays ATR (Average True Range) values for fixed periods: 15 Minutes, 1 Hour, 4 Hours, and Daily, alongside your current chart timeframe.
Allows you to monitor whether general market volatility is expanding or contracting from a single panel.
Auto TP & SL Calculation:
Lists potential Long and Short targets for each timeframe based on your custom ATR multipliers.
Logic:
Buy TP: Close Price + (ATR x TP Multiplier)
Buy SL: Close Price - (ATR x SL Multiplier)
(Inverted logic applies for Sell setups.)
Dynamic On-Chart Lines:
Draws the calculated TP and SL levels directly on the chart for the current timeframe.
Lines extend 10 bars into the future, providing a visual reference for how close the price is to your targets.
Full Customization:
Calculation: You can adjust the ATR period and TP/SL multipliers to fit your strategy.
Visuals: Table position, text size, and all colors (buy, sell, background) can be personalized via the settings menu.
How to Use:
Trend Following: If ATR values on higher timeframes are increasing, it may indicate a strengthening trend.
Risk Management: Check the SL levels in the table before entering a trade to adjust your stop loss dynamically based on volatility.
Scalping: Use the on-chart lines as dynamic targets during support/resistance breakouts.
Ghost Protocol: Smart Money HUD [Ash_TheTrader]👻 GHOST PROTOCOL: The Institutional HUD
"Stop trading blind. Start seeing where the Smart Money is hiding."
Most indicators lag. They tell you what happened. Ghost Protocol tells you what is happening right now by combining two powerful concepts: Volume Absorption (Whale Defense) and Kinematic Physics (Price Velocity).
This is not just an indicator; it is a complete Heads-Up Display (HUD) for scalpers and day traders on NQ, ES, Gold, and Crypto.
🧠 The Concept: Why It Works
Retail traders lose money for two reasons:
Selling into a bottom (where Whales are absorbing orders).
Buying a fake breakout (where price lacks the energy to continue).
Ghost Protocol solves both by visualizing the invisible battle between aggressive orders (Retail) and passive limit orders (Institutions).
🛠️ The 3 Core Features
1. The "Ghost Walls" (Reversal Detector) 🛡️
What it is: Detects when massive volume hits the market but Price fails to progress. This is Absorption. A "Whale" is using a Limit Order Wall to absorb panic selling or FOMO buying.
The Visual:
🟢 Green Ghost Bubble + Beam: Buyers are absorbing sellers. (Bullish Wall).
🔴 Red Ghost Bubble + Beam: Sellers are absorbing buyers. (Bearish Wall).
Sticky Tech: The bubbles "stick" to the wicks perfectly, regardless of zoom level.
2. The "Velocity Terminal" (Breakout Validator) 🚀
What it is: A Physics Engine for price. It calculates Jerk (Change in Acceleration). Standard breakouts often fail, but a breakout with high "Jerk" (Surge) rarely comes back.
The Visual:
🟣 Plasma Purple Candle: Valid Breakout. Price is moving with high physical energy. Safe to follow.
⚪ Grey/Dull Candle: Fakeout. Price broke a level but lacks energy. The move is likely a trap.
3. The Smart Money Dashboard 💻
A sleek, "Classy" panel in the bottom right corner.
Monitors both engines simultaneously:
GHOST WALL: Scans for Reversals (Buy/Sell Walls).
VELOCITY: Scans for Momentum (Surge/Fakeout).
🎯 How to Trade This Script
Strategy A: The "Whale Reversal" (Scalping)
Step 1: Wait for price to push hard into a level.
Step 2 : A Ghost Wall (Ghost Icon 👻) appears.
Step 3 : A vertical Neon Beam lights up the background.
Action: Take the reversal immediately. Place stop loss just behind the bubble.
Strategy B: The "Physics Breakout" (Trend Following)
Step 1: Price breaks a key resistance or support level.
Step 2: Look at the candle color.
If it is Plasma Purple: ENTER. The physics engine confirms true momentum.
If it is Grey: WAIT. It is likely a fakeout designed to trap you.
⚙️ Settings & Customization
Bubble Distance: Adjust how close the Ghost bubbles sit to the candles.
Sensitivity: Tune the "Jerk Threshold" for the physics engine.
Visuals: Toggle the Background Beams, Dashboard size, and Neon colors to fit your dark/light mode setup.
Created by @Ash_TheTrader Trade with the Whales, not against them.
SPX 0DTE Structured Chaos: UnHinged SPX 0DTE Structured Chaos: UnHinged ⚠️ v7.0 is an intraday momentum indicator designed exclusively for SPX 0DTE trading. It evaluates trades using price momentum, VWAP alignment, ADX trend strength, pivots, opening-range breakout levels, and gamma regime conditions, triggering signals only when confidence thresholds are met. ATR-based trailing stops and VWAP filters manage exits, and optional debug tables provide clear insight into the scoring behind each trade.
Momentum Turtle Swing StrategyMomentum Breakout Swing Tool — Overview
This indicator is built for traders who like breakout-style swing entries with a simple, disciplined structure. It blends trend context + momentum confirmation to highlight moments when price is more likely to continue rather than chop.
Core idea
Focus on directional expansion: it looks for points where price starts moving decisively after a period of structure building.
Signals are filtered so they appear primarily when the market is showing a clear directional bias, not when it’s indecisive.
Confirmation concept
Uses a trend context filter to stay aligned with the dominant market direction.
Adds a momentum sanity check so signals are less likely to trigger when strength is fading.
Position logic (unique signals)
Designed to keep signals clean and non-spammy: it produces distinct entry markers instead of repeated triggers in the same direction.
The internal flow treats market states as “in-trade / out-of-trade” to keep the chart readable.
Exit philosophy
Exits are based on a reactive market reference (to adapt when momentum cools or structure shifts), rather than fixed targets.
The goal is to stay in the move while it’s healthy and step aside when conditions degrade.
Best conditions
Works best in markets with clear swings and breakout continuation behavior.
Less effective in tight ranges or noisy sideways phases, where breakouts can fail more often.
For educational and analytical purposes only. Always forward-test on different markets and timeframes.
Confluence Signal Intelligence Indicators (CSI Indicators)CSI - Confluence Signal Intelligence is a dual-oscillator analysis tool that combines two specialized indicators in a single pane. It provides visibility into cycle exhaustion and statistical deviation conditions to help identify potential turning points.
The Two Oscillators
CEI - Cycle Exhaustion Index (Upper Section)
CEI measures where price sits within its recent cycle range and detects momentum depletion states. It identifies moments when a move has stretched beyond typical levels, which historically have preceded mean-reversion.
Normalized range from -1.0 to +1.0
Configurable exhaustion thresholds
Reversal signals (REV) when extreme zones begin turning
Cycle wave overlay showing peak/trough phases
Stepped confluence indicator between sections
PRG - PDF Reversal Gauge (Lower Section)
PRG applies statistical transforms across multiple timeframes to measure deviation from price norms. It combines readings from primary and secondary periods to create a confluence assessment.
Multi-period analysis for timing and confirmation
Strong Confluence (SC) signals at statistical extremes
Confluence scoring when multiple periods align
Deviation bars showing distance from mean
Signal Types
CEI Signals:
REV - Reversal signal when exhaustion zone begins turning
Triangle markers - Entry into exhaustion zones
X markers - Extreme exhaustion levels
PRG Signals:
SC - Strong Confluence signal when threshold met
Triangle markers - Standard reversal signals
Diamond markers - Multi-period confluence alignment
Visual Design
The pane is divided into two distinct sections with a separator line:
Upper Section (CEI) - Cycle analysis with area fill and confluence stepping
Lower Section (PRG) - Statistical gauge with deviation bars
Color Coding - Gold for strong confluence, Green/Red for direction, Gray for neutral
Zone Backgrounds - Shaded areas marking overbought/oversold regions
Information Table - Real-time values, zones, confluence scores, and signals for both oscillators
Configuration
CEI Settings:
Cycle period and exhaustion lookback
Signal smoothing and sensitivity
Upper/lower exhaustion thresholds
Extreme level definition
PRG Settings:
Primary and secondary periods
Smoothing and extreme threshold
Confluence sensitivity
Strong confluence threshold
Multi-period confluence toggle
Layout Settings:
Adjustable vertical positioning
Independent scale factors for each oscillator
Separator position control
Alert Conditions
CEI Alerts - Bull/Bear reversals, extreme exhaustion levels
PRG Alerts - Strong confluence buy/sell, standard reversals
Combined Alerts - Both oscillators signaling together, strong combined confluence
Companion Indicator
CSI - Confluence Signal Intelligence is the main chart overlay that generates BUY/SELL signals with confidence classifications (HIGH/MEDIUM/LOW). This oscillator pane is designed to work alongside it, showing the cycle and statistical dynamics that contribute to signal generation.
When using both together:
Main CSI provides analytical signals directly on the price chart
This pane reveals the underlying CEI and PRG oscillator states
Aligned readings across both indicate stronger confluence
Reading the Pane
For potential long setups:
CEI in lower exhaustion zone (OS) and rising
PRG in oversold territory and turning up
REV or SC labels appearing
Both oscillators showing elevated confluence scores
For potential short setups:
CEI in upper exhaustion zone (OB) and falling
PRG in overbought territory and turning down
REV or SC labels appearing
Both oscillators showing elevated confluence scores
The oscillators may not signal on the exact same bar. When readings cluster within a few bars, this suggests developing conditions that warrant attention.
Risk Disclosure
This indicator measures technical conditions—not future price direction. Confluence scores represent analytical assessments based on statistical deviation and cycle position, not guarantees of market movement. All trading involves substantial risk of loss. Use this tool alongside your own analysis and proper risk management. No indicator can predict future price movements with certainty.
---
## AUTHOR'S INSTRUCTIONS:
```
To request access to CSI - Confluence Signal Intelligence , please send a private message or visit frontieralgo.com/tradingview.
For best results, use alongside the main CSI overlay on the price chart.
Confluence Signal Intelligence (CSI)CSI - Confluence Signal Intelligence is a professional-grade analytical overlay that evaluates market conditions across multiple dimensions simultaneously. Rather than relying on a single indicator, CSI synthesizes multiple evidence factors and classification models into unified BUY/SELL signals with confidence classifications.
What It Does
CSI identifies potential reversal zones by detecting when multiple independent analytical components align in the same direction. Each signal displays a confidence classification:
HIGH - Strong multi-factor alignment (Gold labels)
MEDIUM - Moderate factor alignment
LOW - Limited factor alignment
Important : The confidence level measures analytical consensus—not a prediction of trade outcome. A HIGH reading means multiple components agree on directional bias at that moment, not that the trade will be profitable.
Multi-Factor Analysis
The classification system evaluates conditions across several categories:
Statistical Extremes - Normalized price transforms that identify stretched conditions
Momentum Indicators - Multiple oscillators confirming oversold/overbought states
Cycle Analysis - Gauges measuring exhaustion and potential turning points
Trend Alignment - Multi-timeframe directional agreement
Market Structure - Break of Structure events and swing point analysis
Pattern Classification - Models comparing current conditions to historical setups
Volume Analysis - Confirming directional moves with participation
Divergence Detection - Price/momentum disagreements across multiple oscillators
Classification Components
CSI incorporates multiple classification models (KNN, gradient boosting approximation, perceptron) that analyze current market conditions against historical patterns. These models contribute to the overall confidence assessment by identifying setups with characteristics similar to past formations.
Smart Money Concepts
The indicator includes institutional trading concepts:
Break of Structure (BOS) - Markers when price violates significant swing points
Order Blocks - Potential support/resistance zones based on price structure
Fair Value Gaps (FVG) - Price imbalances that may act as future reference points
Regime Detection - Background coloring distinguishing trending vs. ranging conditions
Key Features
Non-Repainting Mode - Optional bar-close confirmation prevents signal changes on the current bar
Adaptive Thresholds - Automatically adjusts sensitivity based on market volatility
Signal Filtering - Option to hide LOW confidence signals to reduce noise
Configurable Cooldown - Minimum bars between signals to prevent overtrading
Comprehensive Dashboard - Real-time display of key metrics and states
Trend EMAs - 20/50/200 period moving averages for context
Extensive Alerts - Conditions for signals, structure breaks, divergences, and more
Intended Use
CSI is designed as a decision-support tool for traders conducting their own analysis. It identifies moments of technical alignment that may warrant further investigation—it does not guarantee profitable outcomes. Market results depend on numerous variables beyond any single analytical tool.
The indicator works across all markets and timeframes.
Companion Indicator
CSI - Confluence Signal Intelligence is published separately and displays the underlying oscillators in their own pane:
CEI (Cycle Exhaustion Index) - Cycle position and momentum depletion measurement
PRG (PDF Reversal Gauge) - Statistical deviation scoring
When used together, the main CSI overlay provides signals on the chart while the oscillator pane offers visibility into the cycle and reversal dynamics contributing to those signals.
Risk Disclosure
This indicator is an analytical tool—not financial advice. Past performance does not guarantee future results. All trading involves substantial risk of loss. Confidence levels reflect internal model agreement only and should be considered alongside broader market context, your own analysis, and sound risk management practices. No indicator can predict future price movements with certainty.
---
## AUTHOR'S INSTRUCTIONS:
```
To request access to CSI - Confluence Signal Intelligence, please visit frontieralgo.com/tradingview or send a private message.
HAR Volatility ATR (Multi-Asset) - Andreus VillalobosIndicator based on the HAR (Hyper-Realized Volatility) model.
Combines daily, weekly, and monthly ATRs to project:
– Most probable price range (90%)
– Most probable take profit (60%)
Does not generate entry signals.
Designed for use in conjunction with:
market structure, liquidity, and price action.
Works on Forex, Indices, Gold, and Cryptocurrencies.
Vhenom ORB A+ (Professional)Vhenom ORB A+ (Professional)
Advanced Opening Range Breakout System with A+ Momentum & Failure Detection
What This Indicator Is
Vhenom ORB A+ (Professional) is a precision-built Opening Range Breakout system designed for active index futures traders who want early entries, objective confirmation, and protection against false breakouts.
This is not a generic ORB clone.
It is a multi-session, momentum-aware, reversal-aware trading framework built specifically to handle:
Explosive breakouts
Failed breakouts
Intraday continuation
Reversals back into range
Real-time decision-making (not just candle-close hindsight)
Core Philosophy
Most ORB indicators fail because they:
Only work at candle close
Treat all breakouts the same
Ignore volatility context
Provide no framework for failed moves
Vhenom ORB A+ solves all of that.
It does not tell you what to trade.
It tells you when conditions are objectively favorable.
🔹 Key Features
1️⃣ Multi-Session ORB Engine (NY Time)
Define ORBs across multiple intraday windows, not just the cash open:
NY Cash Open (09:30–09:45)
Midday Expansion
Power Hour
Evening Session
Overnight Sessions
Fully customizable ORB windows
Each ORB:
Draws High / Low / Midline in real time
Freezes when complete
Automatically rolls forward into the next session
No repainting of historical ORBs.
2️⃣ Real-Time Breakout Detection (Live Preview)
Unlike most indicators, Vhenom ORB A+ can signal intrabar:
Signals flicker live as price breaks the ORB
Signals confirm on candle close
If price re-enters the range, the signal disappears
This allows:
Earlier entries for aggressive traders
Confirmed entries for conservative traders
You choose.
3️⃣ A+ Momentum Engine (ATR-Based)
Not all breakouts are equal.
The A+ Engine measures candle expansion relative to ATR to identify true momentum breakouts.
When an A+ breakout occurs:
The candle is highlighted
The label upgrades to A+ Buy / A+ Sell
Optional filtering: require A+ for signals or use it as a visual upgrade
This helps eliminate:
Chop
Low-energy fake moves
Weak breakouts that stall immediately
4️⃣ Failure Mode (Reversal Detection)
This is where most ORB tools fall apart.
Vhenom ORB A+ actively monitors failed breakouts.
If price:
Breaks out of the ORB
Fails to hold
Re-enters the range within a defined window
The indicator generates:
R Buy (failed downside breakout)
R Sell (failed upside breakout)
With:
Acceptance-by-close logic
Minimum bar delay (no same-candle chaos)
Optional live preview
This allows traders to:
Capture reversals
Avoid chasing failed breakouts
Trade against trapped participants
5️⃣ Conflict Protection (No Mixed Signals)
The logic explicitly prevents:
Buy and Sell on the same candle
Breakout and reversal on the same bar
Overlapping signal noise
If a conflict ever exists:
Sell wins (conservative bias)
The system is intentionally opinionated to reduce indecision.
6️⃣ Candle Coloring for Immediate Context
Candle colors provide instant visual feedback:
A+ Breakout candles
Failed breakout reversal candles
Priority rules ensure clarity (Reversal > A+)
You can glance at the chart and know what just happened.
🔹 Designed For
This indicator is ideal for:
NQ / ES / MNQ / MES traders
GC / MGC traders
ORB, momentum, and reversal traders
Traders who scale quickly and manage stops tightly
Traders who want structure, not guesses
It works on any symbol or timeframe, but is optimized for index futures.
🔹 What This Is NOT
❌ Not a signal bot
❌ Not a “win every trade” system
❌ Not meant for set-and-forget trading
This tool gives high-quality decision points — execution is up to you.
🔹 Basic vs Professional
Basic Version
NY Cash Session ORB only
ORB lines only
No momentum logic
No reversals
Professional Version (This)
Multiple ORB sessions
Live breakout preview
A+ momentum detection
Failure / reversal detection
Advanced filtering & controls
Designed for real trading, not hindsight
🔹 Final Notes
This indicator was built by a trader, refined through real market behavior, and designed to expose opportunity and risk at the same time.
If you understand:
Opening ranges
Volatility
Acceptance vs rejection
Risk management
Vhenom ORB A+ gives you an edge — not a crutch.
VWAP Market FlowVWAP Flow Model
VWAP Flow Model is a VWAP-anchored market context indicator designed to help traders understand how price is behaving relative to fair value.
It evaluates the interaction between price, VWAP (Volume-Weighted Average Price), volatility, and momentum to classify prevailing market conditions such as trend continuation, expansion, mean reversion, and momentum decay.
Rather than issuing trade signals, the indicator focuses on identifying market state and execution quality.
Core framework:
-Adaptive VWAP with slope-based colouring
-VWAP acts as the central fair-value reference.
The VWAP line dynamically changes colour based on its slope:
-Rising VWAP → bullish pressure
-Falling VWAP → bearish pressure
-Flattening VWAP → balance, compression, or rotation
This allows traders to quickly assess directional bias and determine whether price movement is supported by underlying flow or occurring in a lower-quality environment.
Signal labels:
The indicator annotates key behavioural transitions to support visual interpretation of market state:
-IGN (Ignition) — Momentum expansion emerging from compression or balance, often marking the start of a directional move.
-CON (Continuation) — Price sustaining directional behaviour in alignment with VWAP slope.
-REV (Reversion) — Mean-reversion behaviour as price returns toward VWAP after extension.
-EXH (Exhaustion) — Loss of momentum or absorption after an extended move, often preceding rotation or regime change.
-MON (Displacement) — High-energy expansion bars indicating strong participation and structural shift.
These labels describe market behaviour, not trade instructions, and should be interpreted within the broader VWAP context.
Market behaviour classification:
The model continuously evaluates how price interacts with VWAP to determine whether the market is:
-directional and trending
-rotating around fair value
-accelerating away from value (expansion)
-losing momentum or showing signs of exhaustion
Classifications are derived from price displacement, volatility conditions, and momentum quality, rather than simple crossovers.
Filtering and control logic:
-Trend / Volatility Filter
Conditions market-state classification on the prevailing volatility and structural regime, helping prevent unstable or low-quality environments from producing misleading context shifts.
-Cooldown Filter
Enforces a minimum number of bars between classification updates to reduce rapid state-flipping in choppy conditions and keep context stable.
-Minimum Bars Between Signals
Controls the strictness of the cooldown logic.
Lower values increase responsiveness; higher values favour cleaner, more stable context changes.
-Tape Dominance Requirement (IGN)
Optional confirmation that requires directional signed-volume pressure to align with price behaviour before ignition-style classifications are allowed, helping distinguish genuine impulsive moves from weak or mechanically driven spikes.
-Tape Dominance Lookback
Defines the evaluation window used by the tape dominance filter.
Shorter lookbacks react faster; longer lookbacks require sustained participation.
Sensitivity and session controls:
Sensitivity modes adjust how responsive the model is to changing conditions:
-Aggressive — faster, more reactive (lower timeframes)
-Balanced — default intraday calibration
-Sniper — stricter thresholds, fewer but higher-quality classifications
Optional session filters allow the model to operate only during selected trading sessions, helping traders focus on higher-liquidity periods and avoid low-efficiency hours.
How to use it:
VWAP Flow Model is used as a context and confirmation layer, not a signal generator:
-Trade in the direction of VWAP slope during directional phases
-Expect mean reversion when price extends far from VWAP in balanced conditions
-Treat strong acceleration away from VWAP as expansion rather than chop
-Use flattening VWAP as an early warning of rotation or momentum loss
It integrates naturally with price action, structure-based analysis, and volume-aware workflows.
Indicator scope:
VWAP Flow Model provides objective market context and behavioural classification.
It does not generate direct trade signals and is designed to support discretionary decision-making.
Important notes:
Market classifications are probabilistic, not guarantees
Past behaviour does not imply future results
This indicator is a decision-support tool, not an automated trading system
KIMATIX LITE AbsorptionThis indicator highlights absorption intensity directly on the chart using numeric sigma values only.
It is a deliberately reduced, signal-agnostic visualization designed to expose where significant absorption occurs, without adding levels, lines, or trade logic.
What you see
Numeric sigma values on candles
Each number represents the strength of absorption measured in standard deviations (σ).
Color-coded context
Green numbers below price → sell-side absorption
Red numbers above price → buy-side absorption
Only values that exceed the Minimum Sigma threshold are displayed.
No lines, zones, triangles, or alerts are shown — only the raw absorption magnitude.
How it works (LITE Version)
Absorption is derived from volume relative to candle structure
Values are normalized and filtered using:
A fixed statistical lookback
Wick dominance rules to avoid noise
Only statistically significant events (σ ≥ threshold) are visualized
All other calculations run silently in the background.
Intended use
This Lite version is meant to:
Identify areas of aggressive participation or defense
Spot potential absorption during trends or ranges
Provide context for liquidity, exhaustion, or hidden interest
It is not a trading system and does not generate entries or exits.
Use it as a contextual layer alongside your own execution logic.
The full version is distributed separately.
More information can be found here:
whop.com
KIMATIX LITE Delta ProfileThis indicator provides a clean, market-structure view of where participation concentrates and which side is in control across price levels.
The Lite version is intentionally reduced to focus on context over execution while keeping the visual identity of the full profile.
What is shown
Sentiment Profile (right side)
Displays directional dominance at each price level:
Bullish rows when buying pressure dominates
Bearish rows when selling pressure dominates
Point of Control (POC)
Value Area High / Low (VAH / VAL)
Lite Version
No left-side volume profile
No delta labels or historical delta tracking
No lower-timeframe or orderflow proxy
No alerts or event notifications
No visible-range logic or advanced controls
All calculations run on the chart timeframe only, making this version lighter and suitable for public use while preserving structural relevance.
Intended use
This indicator is designed to:
Identify high-interest price zones
Assess directional pressure at each level
Support bias and location decisions
Complement other execution or confirmation tools
It is not an entry or signal system and does not provide trade timing.
The full version is distributed separately.
More information can be found here:
whop.com
OC Chain_ROC_RSI15-minute indicator that detects a 3-candle “inside” chain where each candle’s open & close remain within the previous candle’s open-close range. Plots horizontal Open/Close levels on candles when ROC(2) moves beyond a configurable ±threshold, and highlights candles when RSI is strong (>55) or weak (< user set level, e.g., 30–32). Adjustable ROC/RSI settings and line extension options.
KIMATIX LITE Crypto ScannerKIMATIX Crypto Scanner
This indicator visualizes institutional demand and supply zones based on an automated volume profile calculation.
The Lite version is designed for context and market structure only:
Displays dynamic long and short zones
Helps identify high-interest price areas
Intended for bias and location, not execution
No signals, alerts, confirmations, or execution logic are included.
All advanced filters, timing logic, probability validation,
and trade management are reserved for the full version.
Use this tool to understand where price matters — not when to trade.
The full version is distributed separately.
More information can be found here:
whop.com
RSI WMA Crossover Momentum w/ Highlight by SfxinvestRSI WMA Crossover Momentum
This is a momentum indicator that tracks the RSI. Its principle is to use the WMA line to determine the trend of the RSI, and from the RSI, the price trend can be determined.
AlphaTrend + MA Resistance + Flow BandPuanlama sistemi getirildi. 70 puan ve üzerinde alım yapabilirsiniz.
TWS- RSI+Divergence With Stochestic+Div. v21.0 By AshishThis indicator is for RSI & RSI Divergence. Also you can activate Stochastic (modified level) with divergence.
This is totally new concept. you can try it.
Session Trader - Optimal Hours📊 Overview
Never miss the best trading hours again! This indicator provides a comprehensive, real-time session tracker that shows you EXACTLY when to trade crypto and when to stay out of the market. Automatically converts all times to your local timezone, highlights the current active session, and shows what's coming next.
Perfect for crypto traders who want to maximize profits by trading during high-liquidity, high-volume sessions while avoiding choppy, low-liquidity periods that lead to losses.
✨ Key Features
🎯 Real-Time Session Tracking
LIVE indicator shows which session is currently active with bright highlighting
NEXT UP feature highlights the upcoming session when between trading periods
Smart header displays current status at a glance
Real-time countdown timers for every session (opens/closes)
📍 6 Critical Trading Sessions Covered
✅ BEST TRADING SESSIONS (Green):
London Open (07:00-09:00 UTC) - High volatility kickoff, institutional orders
London-NY Overlap (13:30-15:30 UTC) - THE BEST period! Maximum liquidity & volume
NY Momentum (15:30-18:00 UTC) - Strong trending moves, continuation plays
❌ AVOID TRADING SESSIONS (Red):
4. Pre-Asia Quiet (21:00-00:00 UTC) - Low liquidity, erratic moves, wide spreads
5. Asia Lunch (03:30-05:00 UTC) - Choppy markets, whipsaws, unreliable patterns
6. Post-US Drift (20:00-21:00 UTC) - Market slows, unpredictable behavior
🌍 Automatic Timezone Conversion
Times display in YOUR chart timezone - no manual conversion needed!
Works in Berlin, New York, Tokyo, Sydney, or anywhere in the world
Switch between 12-hour and 24-hour formats
🎨 Visual Clarity
Active TRADE sessions = Bright green background, impossible to miss
Active AVOID sessions = Bright red background, clear warning
NEXT UP session = Orange highlight when between sessions
Inactive sessions = Faded gray, stays out of your way
Color-coded status column with clear ✓ TRADE or ✗ AVOID indicators
⚙️ Fully Customizable
9 table positions (top-left, top-right, bottom-center, etc.)
6 text sizes (tiny to huge) for any screen size
Toggle individual sessions on/off
Show/hide descriptions for cleaner view
Custom colors for each session type
Countdown timer toggle
🔔 Built-In Alerts
Automatic alerts when TRADE sessions start
Alerts when AVOID sessions begin (so you don't enter bad conditions)
Customizable per session
📖 How To Use
Basic Setup:
Add indicator to any crypto chart (BTC, ETH, etc.)
Times automatically convert to your chart's timezone
Watch the header - shows current session or next upcoming
Look for bright colors:
🟢 Bright green = TRADE NOW
🔴 Bright red = AVOID NOW
🟠 Orange = NEXT UP (coming soon)
Trading Strategy:
Focus on GREEN sessions (London Open, London-NY Overlap, NY Momentum)
Avoid RED sessions (Pre-Asia Quiet, Asia Lunch, Post-US Drift)
Prepare for ORANGE sessions (next up - get ready!)
Use countdown timers to plan entries/exits perfectly
Pro Tips:
London-NY Overlap is the BEST - highest volume, tightest spreads, cleanest trends
First 30 minutes of London can have quick reversals - use caution
NY Momentum is perfect for riding trends with trailing stops
NEVER trade during Asia Lunch - choppy, unpredictable, costs you money
Post-US Drift looks tempting but often leads to whipsaws
🔧 Indicator Settings
Display Options:
Table Position: Choose from 9 positions on your chart
Text Size: Auto, Tiny, Small, Normal, Large, Huge
Time Format: 12-hour (AM/PM) or 24-hour format
Show Countdown: Toggle real-time countdown timers
Show Description: Toggle detailed session descriptions
Highlight Next Session: Orange highlight for upcoming session
Session Toggles:
Enable/disable any of the 6 sessions individually:
London Open
London-NY Overlap
NY Momentum
Pre-Asia Quiet
Asia Lunch
Post-US Drift
Color Customization:
Active TRADE session color (default: bright green)
Active AVOID session color (default: bright red)
NEXT UP session color (default: orange)
Inactive session color (default: faded gray)
Alerts:
Individual alert toggles for each session
Alerts fire when sessions start (not every bar)
Includes context in alert message
📊 Session Details
🟢 London Open (07:00-09:00 UTC)
Status: TRADE ✓
Characteristics:
London opens with high volatility as European traders enter
Major institutional orders create significant price movements
Perfect for breakout and trend-following strategies
Watch for quick reversals in first 30 minutes
Good liquidity and volume
🟢 London-NY Overlap (13:30-15:30 UTC)
Status: TRADE ✓
THE BEST TRADING PERIOD!
Maximum liquidity as London & NY markets overlap
Institutional volume peaks, creating clean trends
Reliable technical setups, tightest spreads
Best execution quality
Focus on momentum and breakout trades
🟢 NY Momentum (15:30-18:00 UTC)
Status: TRADE ✓
Characteristics:
Strong directional moves as US market dominates
Trending behavior ideal for position trades
Continuation patterns highly reliable
Major news impact is highest during this period
Use trailing stops to ride trends effectively
🔴 Pre-Asia Quiet (21:00-00:00 UTC)
Status: AVOID ✗
WARNING:
Pre-Asian session with minimal liquidity
Thin order books cause erratic price action
Fake breakouts and stop-hunting common
Wide spreads increase trading costs
High risk, low reward - wait for better conditions
🔴 Asia Lunch (03:30-05:00 UTC)
Status: AVOID ✗
WARNING:
Asian lunch break creates choppy, directionless markets
Low volume leads to whipsaws and false signals
Market makers widen spreads significantly
Technical patterns unreliable
Not worth the risk - take a break!
🔴 Post-US Drift (20:00-21:00 UTC)
Status: AVOID ✗
WARNING:
Post-US session as major markets close
Liquidity dries up, causing unpredictable moves
High slippage risk
Market enters consolidation before Asian open
Better to wait for next quality session
🎯 Who Is This For?
Perfect for:
✅ Crypto day traders who want to maximize profits by timing the markets
✅ Scalpers who need high liquidity and tight spreads
✅ Swing traders who want to enter during optimal conditions
✅ Beginners who need clear guidance on when to trade
✅ Anyone tired of choppy sessions that eat away profits
Ideal Markets:
Bitcoin (BTC/USD, BTC/USDT)
Ethereum (ETH/USD, ETH/USDT)
Major altcoins (SOL, XRP, ADA, etc.)
Any 24/7 crypto market
💡 Why Session Timing Matters
Trading crypto during low-liquidity sessions is one of the biggest mistakes traders make:
❌ Trading during bad sessions causes:
Wider spreads (higher costs per trade)
Choppy, unpredictable price action
Fake breakouts and stop-hunting
Poor trade execution and slippage
Emotional frustration and overtrading
✅ Trading during optimal sessions gives you:
Tight spreads (lower costs)
Clean, trending price action
Reliable technical patterns
Better execution quality
Higher win rates and confidence
The difference between a profitable trader and a losing trader is often WHEN they trade, not HOW they trade.
🚀 Technical Details
Version: Pine Script v6
Type: Overlay indicator (table display)
Repainting: Non-repainting (all times are fixed to session schedules)
Updates: Real-time on every bar
Performance: Lightweight, no lag
Compatibility: Works on any timeframe (1m to 1D+)
📈 Best Practices
Plan your trading schedule around GREEN sessions
Set alerts for session starts so you never miss opportunities
Use the countdown to prepare entries/exits in advance
Combine with your strategy - this indicator tells you WHEN, your strategy tells you WHAT
Respect the RED sessions - discipline is profit
Keep descriptions ON when learning, turn OFF for cleaner charts later
🔄 Updates & Support
This indicator is actively maintained. Future updates may include:
Session volume statistics
Historical session performance tracking
Additional regional sessions
More customization options
Trend Fusion Indicator🎯 Trend Fusion Indicator🎯
Professional trading indicator combining EMA momentum with Supertrend volatility for high-probability signals.
📊KEY FEATURES:
• 9 EMA & Supertrend (10,3) crossover signals
• Visual trend direction with colored fills
• Buy/Sell arrows at crossover points
• Real-time trend tracking
• Clean, professional interface
⚡SIGNAL LOGIC:
✅ BUY: When EMA crosses ABOVE Supertrend
✅ SELL: When EMA crosses BELOW Supertrend
🎨VISUAL INDICATORS:
• Green Zone/Fill: Bullish trend (EMA > Supertrend)
• Red Zone/Fill: Bearish trend (EMA < Supertrend)
• Triangle Arrows: Entry signals
• Background Colors: Trend confirmation
⚙️CUSTOMIZABLE SETTINGS:
• EMA Length (Default: 9)
• Supertrend ATR Length (Default: 10)
• Supertrend Factor (Default: 3.0)
🔔ALERTS INCLUDED:
• Buy Alert: EMA crosses above Supertrend
• Sell Alert: EMA crosses below Supertrend
📈 BEST FOR:
• Swing Trading
• Day Trading
• Trend Following
• Market Reversals
⚠️ DISCLAIMER: This indicator is for educational purposes only.
Trading involves risk. Not financial advice. Use at your own risk.
VEGA (Velocity of Efficient Gain Adaptation)VEGA (Velocity of Efficient Gain Adaptation)
VEGA is a momentum oscillator that measures the velocity of an efficiency-weighted adaptive moving average. Unlike traditional momentum indicators that react uniformly to all price movements, VEGA intelligently adapts its sensitivity based on market conditions—responding quickly during trending periods and filtering noise during consolidation.
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What Makes VEGA Different
Efficiency-Driven Adaptation
At its core, VEGA uses the Efficiency Ratio (ER) to distinguish between trending and choppy markets. When price moves efficiently in one direction, VEGA's underlying adaptive MA speeds up to capture the move. When price chops sideways, it slows down to avoid whipsaws. This creates a momentum reading that's inherently cleaner than fixed-period alternatives.
Linear Regression Smoothed Source
VEGA offers an optional LinReg-smoothed price source that blends regular candles with linear regression values. This pre-smoothing reduces noise before it ever enters the calculation, resulting in a histogram that's easier to read without sacrificing responsiveness. The mix ratio lets you dial in exactly how much smoothing you want.
Z-Score Normalization with Dead Zone
Rather than arbitrary oscillator bounds, VEGA normalizes output as standard deviations from the mean. This gives statistically meaningful levels: readings above +2σ or below -2σ represent genuinely extreme momentum. The configurable dead zone (with Snap, Soft Fade, or None modes) filters out insignificant movements near zero, keeping you focused on signals that matter.
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How It Works
1. Source Preparation — Price is smoothed via a LinReg/regular candle blend
2. Efficiency Ratio — Measures directional movement vs total movement over the lookback period
3. Adaptive MA — Applies variable smoothing based on efficiency (fast during trends, slow during chop)
4. Velocity — Calculates the rate of change of the adaptive MA
5. Normalization — Converts to Z-Score (standard deviations) or ATR-normalized percentage
6. Dead Zone — Optionally filters near-zero values to reduce noise
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How To Read VEGA
Signal and Interpretation
Histogram above zero | Bullish momentum
Histogram below zero | Bearish momentum
Bright color | Momentum accelerating
Faded color | Momentum decelerating
Beyond ±1σ bands | Above-average momentum
Beyond ±2σ bands | Extreme momentum (potential reversal zone)
Zero line cross*| Momentum shift
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Key Settings
ER Length — Lookback for efficiency ratio calculation. Higher = smoother, slower adaptation.
Fast/Slow Smoothing — Controls the adaptive MA's responsiveness range. The MA blends between these based on efficiency.
LinReg Settings — Enable smoothed candles and adjust the blend ratio (0 = regular candles, 1 = full LinReg, 0.5 = 50/50 mix).
Z-Score Lookback — Period for calculating mean and standard deviation. Shorter = more reactive normalization.
Dead Zone Type — How to handle near-zero values:
Snap — Hard cutoff to zero
Soft Fade — Gradual reduction toward zero
None — No filtering
Dead Zone Threshold — Values within this Z-Score range are affected by the dead zone setting.
VEGA works on any timeframe and any market. For best results, adjust the ER Length and LinReg settings to match your trading style and the volatility characteristics of your instrument.
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset
An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark.
Important disclaimer
This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation.
Single asset vs the full portfolio concept
This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here:
That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like.
What this indicator is trying to demonstrate
Volatility targeting is a risk scaling framework. The core idea is simple:
If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget.
If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market.
Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products.
This script combines that risk scaling with a simple trend direction model:
Fast and slow EMA cross determines whether the strategy is long or short.
A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH.
An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes.
How the logic works step by step
1) Returns and simple momentum
The script uses log returns for the base return stream:
ret = log(price / price )
It also computes a simple momentum value:
mom = price / price - 1
In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact.
2) Realized volatility estimation
Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized:
vol = stdev(ret, lookback) * sqrt(tradingdays)
The Trading Days/Year input controls annualization:
252 is typical for traditional markets.
365 is typical for crypto since it trades daily.
3) Volatility targeting multiplier
Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target:
volMult = targetVol / vol
This is then clamped into a reasonable range:
Minimum 0.1 so exposure never goes to zero just because vol spikes.
Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods.
This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage.
4) Scaled return stream
The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier:
sr = ret * volMult
Think of this as the return you would have earned if you scaled exposure to match the volatility budget.
5) Long short direction via EMA cross
Direction is determined by a fast and slow EMA cross on price:
If fast EMA is above slow EMA, direction is long.
If fast EMA is below slow EMA, direction is short.
This produces dir as either +1 or -1. The scaled return stream is then signed by direction:
avgRet = dir * sr
So the strategy return is volatility targeted and directionally flipped depending on trend.
6) Regime filter: ACTIVE vs CASH
A second EMA pair acts as a top level regime filter:
If fast regime EMA is above slow regime EMA, the system is ACTIVE.
If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity.
This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure.
Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates.
7) Equity curve construction
The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar:
If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet).
If regime was CASH, equity stays flat.
Fees are modeled very simply as a per bar penalty on returns:
netRet = avgRet - (fee_rate * avgRet)
This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage.
Benchmark and buy and hold comparison
The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare:
Strategy equity on the chart symbol.
Buy and hold equity for the selected benchmark instrument.
By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study.
What it plots
If enabled, the indicator plots:
Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color .
Buy and Hold Equity for the chosen benchmark as a line.
Optional labels that tag each curve on the right side of the chart.
This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold.
Metrics table explained
If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include:
Net Profit (%) total return relative to initial capital.
Max DD (%) maximum drawdown computed from equity peaks, stored over time.
Win Rate percent of positive return bars.
Annual Mean Returns (% p/y) mean daily return annualized.
Annual Stdev Returns (% p/y) volatility of daily returns annualized.
Variance of annualized returns.
Sortino Ratio annualized return divided by downside deviation, using negative return stdev.
Sharpe Ratio risk adjusted return using the risk free rate input.
Omega Ratio positive return sum divided by negative return sum.
Gain to Pain total return sum divided by absolute loss sum.
CAGR (% p/y) compounded annual growth rate based on time since start date.
Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean.
Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance.
Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness.
Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented.
How to interpret the system conceptually
Vol targeting effect
When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget.
This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend.
Long short directional effect
Because direction is an EMA cross:
In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction.
In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most.
Regime filter effect
The 50 and 200 style filter tries to:
Keep the system active in sustained up regimes.
Reduce exposure during long down regimes or extended weakness.
It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms.
Common applications
This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for:
Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes.
System comparison see how a simple trend model behaves with and without vol scaling.
Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns.
Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic.
Tuning guidance
Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes.
Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends.
Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower.
Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions.
Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction.
Final note
This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
