GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility
Description
Overview
The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is).
Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes.
By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts.
Methodology and Calculations
1. Logarithmic vs. Percentage Returns
The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume.
- The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes.
- Users can opt for standard percentage changes if they prefer a linear approach.
2. Variance Proxy (Squared Returns)
To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation.
3. GARCH-Style Smoothing (EWMA)
Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor).
- The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance.
- Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance.
4. Dynamic Statistical Thresholds
The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period.
How to Use
The indicator plots a histogram that categorizes the market into four distinct volatility regimes:
1. High Volatility (Red Histogram)
Trigger: Volatility > High Band (Upper Standard Deviation).
Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at:
- Capitulation bottoms (panic selling).
- Euphoric tops (blow-off tops).
- Major news events or earnings releases.
2. Elevated Volatility (Maroon Histogram)
Trigger: Volatility > Mean Average.
Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily.
3. Normal/Low Volatility (Green Histogram)
Trigger: Volatility is within the lower bands.
Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction.
4. Extremely Low Volatility (Bright Green/Transparent)
Trigger: Volatility < Low Band.
Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion.
Settings and Configuration
Core Settings
- Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable.
- Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges.
- Length: The baseline period for the calculation.
- Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands.
- EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics.
-- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory).
-- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory).
Visuals
- Show Thresholds: Toggles the visibility of the statistical bands on the chart.
- High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Zmienność
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
SUPERTREND VALIDADO ADX EMAS VWAP # Modular Trading System - SuperTrend + ADX + Multi-Filter Confirmation
## Overview
Professional modular trading system designed for trend-following strategies on 4H timeframes. Features a clean, mobile-optimized interface with customizable filters and real-time status monitoring.
## Core Features
### Validated Components (Backtested)
- **SuperTrend (ATR 10, Multiplier 3.0)**: Primary trend direction filter with visual fill
- **ADX >23**: Trend strength confirmation (14-period)
- Proven performance: 52.11% win rate, 3.162 profit factor over 4 years
### Additional Filters (Optional)
- **DI Spread >9**: Directional movement confirmation
- **Volume > EMA20**: Volume confirmation above 20-period average
- **EMA System**: 7/21/50 with dynamic coloring
- **VWAP**: Daily volume-weighted average price
### Visual Elements
- **SuperTrend Line**: Green (bullish) / Red (bearish) with background fill
- **EMA 7**: Yellow when ADX >23, White when ADX ≤23
- **EMA 21**: Green (price above) / Red (price below)
- **EMA 50**: Blue reference line
- **VWAP**: Orange line
- **PDH/PDL**: Previous day high/low levels
- **EMA Cross Signals**: Small dots marking 7/21 crossovers
### Smart Money Concepts
- Automatic Previous Day High (PDH) / Previous Day Low (PDL) tracking
- Horizontal lines extending from current price
- Clear labeling for support/resistance levels
## Status Dashboard
Compact 2-column table (top-right) shows:
```
FILTERS | STATUS
1. ADX >23 | 47.6 OK / 18.2 NO
2. DI Spread >9 | Bullish / Bearish
3. SuperTrend | Bullish / Bearish
4. Volume >EMA20 | 1.25x OK / 0.14x NO
─────────────────────────────
SIGNAL | BUY / SELL / WAIT
```
Color-coded backgrounds:
- Green: Condition met
- Red: Condition not met
- Yellow: Waiting for confirmation
## Signal Logic
### Entry Conditions
**LONG**: All active filters must align
- SuperTrend bullish (green)
- ADX >23
- DI+ > DI- (if DI Spread enabled)
- Volume > EMA20 (if Volume enabled)
- Price > EMA21 and EMA7 > EMA21 (if EMAs enabled)
**SHORT**: All active filters must align
- SuperTrend bearish (red)
- ADX >23
- DI- > DI+ (if DI Spread enabled)
- Volume > EMA20 (if Volume enabled)
- Price < EMA21 and EMA7 < EMA21 (if EMAs enabled)
### Exit Conditions
- SuperTrend direction change
- Clear "EXIT" markers on chart
### Position Management
- One position per trend (no pyramiding)
- Prevents multiple entries in same direction
- "WAIT" status when conditions partially met
## Settings & Customization
### Filters (Enable/Disable)
**Core Filters:**
- ✓ SuperTrend (VALIDATED)
- ✓ ADX >23 (VALIDATED)
**Additional Filters:**
- ⚠️ DI Spread >9 (EXPERIMENTAL)
- ⚠️ Volume > EMA20 (EXPERIMENTAL)
- ⚠️ EMAs 7/21/50 (EXPERIMENTAL)
**Visual:**
- Show EMA 7/21 Crosses (dots)
### Parameters
**SuperTrend:**
- ATR Period: 10 (default)
- ATR Multiplier: 3.0 (default)
**ADX/DI:**
- ADX Length: 14 (default)
- ADX Threshold: 23 (default)
- DI Spread Threshold: 9 (default)
**Volume:**
- Volume EMA: 20 (default)
**EMAs:**
- Fast EMA: 7 (default)
- Medium EMA: 21 (default)
- Slow EMA: 50 (default)
## Alerts
Pre-configured alerts for:
- Long Signal (BUY - Entry confirmed)
- Short Signal (SELL - Entry confirmed)
- Exit Long (EXIT LONG - SuperTrend changed)
- Exit Short (EXIT SHORT - SuperTrend changed)
- EMA Cross Up (EMA 7 crossed above EMA 21)
- EMA Cross Down (EMA 7 crossed below EMA 21)
## Best Practices
### Recommended Setup (Validated System)
```
Enable ONLY:
- SuperTrend: ON
- ADX >23: ON
- All other filters: OFF
```
### Testing New Filters
1. Enable experimental filters
2. Backtest thoroughly before live trading
3. Compare performance metrics
4. Validate with demo account first
### Timeframe
- Optimized for: 4H charts
- Tested on: Bitcoin/USDT
- Works on: Any trending instrument
## Risk Management
This indicator provides entry/exit signals but does NOT include:
- Stop loss levels
- Take profit targets
- Position sizing
Always use proper risk management:
- Maximum 1-2% risk per trade
- Use stop losses
- Follow your trading plan
## Performance Notes
**Validated Backtest Results (SuperTrend + ADX only):**
- Win Rate: 52.11%
- Profit Factor: 3.162
- Return: +45.46% (4 years)
- Tested Period: 2020-2024
- Instrument: BTC/USDT 4H
**Important:** Adding additional filters changes the system. Results may vary. Always backtest your specific configuration before live trading.
## Mobile Optimization
- Compact table design
- Clear color coding
- Minimal chart clutter
- Large signal text
- Optimized for small screens
## Use Cases
✅ **Ideal for:**
- Trend-following strategies
- Swing trading (4H timeframe)
- Clear market conditions
- Systematic traders
❌ **NOT ideal for:**
- Scalping (too slow)
- Range-bound markets
- Counter-trend strategies
- Lateral/choppy conditions
## Credits & Methodology
Based on proven technical analysis principles:
- SuperTrend (volatility-based trend following)
- ADX (trend strength measurement)
- Directional Indicators (DI+/DI-)
- Volume analysis
- EMA systems
**Designed for:** Disciplined execution over frequent trading
**Philosophy:** Quality setups > Quantity of trades
## Disclaimer
This indicator is for educational purposes only. Past performance does not guarantee future results. Always:
- Test on demo account first
- Use proper risk management
- Never risk more than you can afford to lose
- Consult a financial advisor
Trading involves substantial risk. This tool does not constitute financial advice.
---
## Version History
**v2.0 (Current)**
- Modular filter system
- 2-column compact status table
- EMA 7 dynamic coloring (yellow when ADX >23)
- EMA 50 + VWAP added
- PDH/PDL levels
- EMA cross markers
- Improved signal logic
- One position per trend
- Multiple alert conditions
---
**For support, updates, or feedback, contact the developer.**
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
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI
A comprehensive trend-following system with customizable filters for precise trade execution.
CORE COMPONENTS:
- SuperTrend with visual fill (trend detection)
- ADX + Directional Indicators (trend strength confirmation)
- Volume filter (optional)
- EMAs 7/21/50 (optional)
- Daily VWAP (optional)
- Previous Day High/Low levels (support/resistance)
KEY FEATURES:
✓ One entry per trend - avoids overtrading
✓ Entry: ADX crosses above threshold with SuperTrend alignment
✓ Exit: SuperTrend direction change
✓ Real-time status dashboard showing all filter conditions
✓ Clear BUY/SELL signals with EXIT markers
✓ All filters can be toggled ON/OFF for testing
✓ Customizable parameters for each indicator
DASHBOARD DISPLAY:
- Live ADX value (green >23 / red <23)
- DI+/DI- values with color coding
- Volume metrics
- Position status (IN/OUT)
- Signal status (BUY/SELL/WAIT)
IDEAL FOR:
Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation.
Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
RSI WMA Crossover Momentum w/ HighlightRSI 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.
Volume-Gated Trend Ribbon [QuantAlgo]🟢 Overview
The Volume-Gated Trend Ribbon employs a selective price-updating mechanism that filters market noise through volume validation, creating a trend-following system that responds exclusively to significant price movements. The indicator gates price updates to moving average calculations based on volume threshold crossovers, ensuring that only bars with significant participation influence the trend direction. By interpolating between fast and slow moving averages to create a multi-layered visual ribbon, the indicator provides traders and investors with an adaptive trend identification framework that distinguishes between volume-backed directional shifts and low-conviction price fluctuations across multiple timeframes and asset classes.
🟢 How It Works
The indicator first establishes a dynamic baseline by calculating the simple moving average of volume over a configurable lookback period, then applies a user-defined multiplier to determine the significance threshold:
avgVol = ta.sma(volume, volPeriod)
highVol = volume >= avgVol * volMult
The gated price mechanism employs conditional updating where the close price is only captured and stored when volume exceeds the threshold. During low-volume periods, the indicator maintains the last qualified price level rather than tracking every minor fluctuation:
var float gatedClose = close
if highVol
gatedClose := close
Dual moving averages are calculated using the gated price input, with the indicator supporting various MA types. The fast and slow periods create the outer boundaries of the trend ribbon:
fastMA = volMA(gatedClose, close, fastPeriod)
slowMA = volMA(gatedClose, close, slowPeriod)
Ribbon interpolation creates intermediate layers by blending the fast and slow moving averages using weighted combinations, establishing a gradient effect that visually represents trend strength and momentum distribution:
midFastMA = fastMA * 0.67 + slowMA * 0.33
midSlowMA = fastMA * 0.33 + slowMA * 0.67
Trend state determination compares the fast MA against the slow MA, establishing bullish regimes when the faster average trades above the slower average and bearish regimes during the inverse relationship. Signal generation triggers on state transitions, producing alerts when the directional bias shifts:
bullish = fastMA > slowMA
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization architecture constructs a three-tiered opacity gradient where the ribbon's core (between mid-slow and slow MAs) displays the highest opacity, the inner layer (between mid-fast and mid-slow) shows medium opacity, and the outer layer (between fast and mid-fast) presents the lightest fill, creating depth perception that emphasizes the trend center while acknowledging edge uncertainty.
🟢 How to Use This Indicator
▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (fast MA crosses above slow MA) and short/sell signals when transitioning to bearish (fast MA crosses below slow MA). Because these crossovers only reflect volume-validated price movements, they represent significant level of participation rather than random noise, providing higher-conviction entry signals that filter out false breakouts occurring on thin volume.
▶ Ribbon Width Dynamics: The spacing between the fast and slow moving averages creates the ribbon width, which serves as a visual proxy for trend strength and volatility. Expanding ribbons indicate accelerating directional movement with increasing separation between short-term and long-term momentum, suggesting robust trend development. Conversely, contracting ribbons signal momentum deceleration, potential trend exhaustion, or impending consolidation as the fast MA converges toward the slow MA.
▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and market conditions. Default provides balanced trend identification suitable for swing trading on daily timeframes with moderate volume filtering and responsiveness. Fast Response delivers aggressive signal generation optimized for intraday scalping on 1-15 minute charts, using lower volume thresholds and shorter moving average periods to capture rapid momentum shifts. Smooth Trend offers conservative trend confirmation ideal for position trading on 4-hour to weekly charts, employing stricter volume requirements and extended periods to filter noise and identify only the most robust directional moves.
▶ Built-in Alerts: Three alert conditions enable automated monitoring: Bullish Trend Signal triggers when the fast MA crosses above the slow MA confirming uptrend initiation, Bearish Trend Signal activates when the fast MA crosses below the slow MA confirming downtrend initiation, and Trend Change alerts on any directional transition regardless of direction. These notifications allow you to respond to volume-validated regime shifts without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments. The adjustable fill opacity control (0-100%) allows fine-tuning of ribbon prominence, with lower opacity values create subtle background context while higher values produce bold trend emphasis. Optional bar coloring extends the trend indication directly to the price bars, providing immediate directional reference without requiring visual cross-reference to the ribbon itself.
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.
GoldHook Reversal ProGoldHook Reversal Pro v7 is an advanced market structure indicator designed to identify high-probability turning points. It automatically detects where price is accumulating—and monitors for specific momentum shifts that signal a valid Breakout or Reversal. By filtering out market noise with its "Smart Adaptive" logic, it helps traders distinguish between false moves and genuine trend opportunities, providing clear entry signals with built-in risk management targets.
Neural Markets [Institutional]Neural Markets is a proprietary technical analysis algorithm designed for structural trend identification and volatility filtering.
The script combines two core engines to generate high-probability market insights:
1. Volatility Engine:
Uses dynamic standard deviation bands (Volatility Bands) adjusted by a proprietary multiplier to filter out market noise. The logic adapts to expanding or contracting market phases to reduce false signals during consolidation.
2. Trend Filter (Smart Mode):
Integrates an Institutional EMA-based logic (Exponential Moving Average) to determine the macro-bias. Signals are only generated when price action aligns with the dominant trend, filtering out counter-trend noise.
KEY FEATURES:
- Non-Repainting Logic: All signals are permanent once the candle closes.
- Military Dashboard (HUD): Real-time display of Trend, Volatility, and Algorithm Status.
- Visual Cloud: Instant identification of the support/resistance zones based on volatility.
- Clean Chart: Optimized for professional use, minimizing visual clutter.
WARNING:
This is an Invite-Only script. Access is restricted to authorized members for educational and analytical purposes only. It does not constitute financial advice.
Clean chart visualization suitable for professional trading.
WARNING: This is a restricted access tool (Invite-Only). It is strictly for educational and analytical purposes.
Malama's Range BreakoutMalama's Range Breakout is a dynamic Pine Script v6 indicator designed to automatically detect periods of price consolidation (tight ranges) on any timeframe or market, visually highlight them with expandable boxes, and generate actionable signals for breakouts and wick-based reversals.
Key Features
Adaptive Consolidation Detection: Uses a volatility-adjusted threshold (ATR multiplier) over a user-defined lookback period to identify genuinely tight ranges, avoiding false detections in trending or high-volatility conditions.
Preset Profiles: Quickly switch between optimized settings for different trading styles:
Tight Ranges (Scalping): Short lookback, low threshold for frequent small-range setups.
Normal Ranges (Intraday): Balanced for day trading.
Swing Trading: Longer lookback for larger consolidations.
Options Selling (Chop): Very low threshold to capture extended sideways/choppy phases.
Custom: Full manual control.
Visual Elements: Draws semi-transparent boxes around detected ranges (with optional dashed midline), dynamically extending them until a valid breakout occurs. Limits historical boxes for clean charts.
Breakout Signals: Triggers buy/sell labels and alerts only on confirmed breakouts, optionally requiring a volume spike (above SMA threshold) for higher-probability momentum moves.
Wick Reversal Signals: Detects rejection wicks touching range boundaries (without closing outside), signaling potential fakeouts or early reversals. Optional next-bar confirmation (e.g., bearish candle after upper wick) reduces false signals.
Built-in Alerts: Separate alert conditions for range detection, bullish/bearish breakouts, and confirmed/unconfirmed wick reversals.
How It Works
The script continuously monitors the price range over the selected lookback period. When the range contracts below the ATR-based threshold, it initiates a consolidation box starting from the tightest point. The box expands with new highs/lows while price remains inside.
A true breakout closes outside the box (with optional volume confirmation) → ends the range and plots a directional signal.
Wicks probing boundaries without closing outside → flags potential rejection/reversal zones inside the range.
This combination helps traders anticipate volatility expansion after compression, while distinguishing strong momentum breakouts from traps/false breaks.
Why It's Useful
Unlike fixed-time Opening Range Breakout (ORB) tools or simple consolidation detectors, this indicator adapts to current market volatility (via ATR) and works across all timeframes—ideal for scalping tight intraday ranges, capturing swing consolidations, or identifying chop for premium-selling strategies. The volume filter and wick reversal detection add confluence, helping avoid low-conviction trades in ranging markets.
Usage Tips
Best on liquid assets (stocks, futures, forex, crypto).
Combine breakouts with trend filters (e.g., higher-timeframe EMA) for directional bias.
Use wick signals cautiously in strong trends—they shine in ranges or at key levels.
Test presets on your preferred timeframe; "Normal" is a solid default for most intraday work.
No repainting: All logic based on confirmed closes.
DR.SS.SMART BUY/SMARTSELL SCALPER1️⃣ BEST TIMEFRAME
Use this as a scalper / intraday trend tool
✅ Best
5 min
15 min
⚠️ Avoid
1 min (too noisy)
Daily (signals become late)
2️⃣ FIRST CHECK – MARKET CONDITION (Dashboard)
Before taking any trade, look at the Smart Panel (Dashboard):
✔ Trade ONLY when:
Market State = Trending
Volatility = Active
Trend Pressure = Bullish or Bearish
At least 3–4 MTF boxes are same color
❌ Avoid trades when:
Market State = No trend / Ranging
Purple candles (ADX sideways)
Remember:
T-V-T rule → Trend + Volatility + Timeframe agree
3️⃣ BUY SETUP (LONG TRADE)
✅ Conditions in your code:
Price crosses ABOVE Supertrend
Close ≥ SMA 13
Bar color turns BLUE
Price above EMA 200 → Smart Buy
ADX not sideways (no purple bars)
📍 Chart shows label:
“Buy” → normal buy
“Smart Buy” → high-probability trade (BEST)
🔵 HOW TO ENTER BUY
Enter at candle CLOSE where Buy / Smart Buy appears
Do NOT enter mid-candle
🛑 STOP LOSS (Auto from code)
SL = ATR-based stop
Shown as red SL line
👉 Safe rule:
Never widen SL
🎯 TARGETS (Auto plotted)
TP1 = 1:1
TP2 = 2:1
TP3 = 3:1
📌 Recommended management:
Book 50% at TP1
Move SL to Entry
Hold rest till TP2 / Trail
4️⃣ SELL SETUP (SHORT TRADE)
✅ Conditions:
Price crosses BELOW Supertrend
Close ≤ SMA 13
Bar color turns RED
Price below EMA 200 → Smart Sell
No sideways (ADX > 15)
📍 Label shown:
“Sell”
“Smart Sell” (BEST)
🔴 HOW TO ENTER SELL
Enter at close of signal candle
Follow same SL & TP rules
5️⃣ SUPPLY & DEMAND CONFIRMATION (POWER FILTER)
🔹 Best Buy:
Price near Demand Zone
Then Smart Buy appears
🔹 Best Sell:
Price near Supply Zone
Then Smart Sell appears
👉 These are institutional entries
6️⃣ WHEN NOT TO TRADE ❌
Avoid trades when:
Purple candles (Sideways)
Supertrend flipping repeatedly
MTF dashboard mixed colors
During low-volume sessions
7️⃣ SESSION WISE BEST PERFORMANCE
From your session logic:
✅ Best Scalping:
London
London + New York overlap
⚠️ Avoid:
Mid-Tokyo (low volatility)
8️⃣ PERFECT TRADE CHECKLIST (SAVE THIS)
Before clicking BUY/SELL, ask:
✔ Smart Buy / Smart Sell?
✔ Price above/below EMA 200?
✔ Dashboard trend agrees?
✔ No sideways candles?
✔ Volatility Active?
👉 If 4 out of 5 = YES → TAKE TRADE
9️⃣ SIMPLE ONE-LINE STRATEGY
Trade only Smart Buy/Sell in trending market, book partial at 1:1, trail rest with Smart Trail
✅ BEST TRADING SESSIONS (Use ONLY these)
🥇 LONDON SESSION (BEST & SAFE)
🕒 12:30 PM – 4:30 PM IST
Why best for your script
Clean trends
Good volatility
Less fake signals
Supertrend + EMA200 works perfectly
👉 This should be your PRIMARY session
🥈 LONDON → NEW YORK OVERLAP (MOST POWERFUL)
🕒 6:00 PM – 8:30 PM IST
Why
Institutional money enters
Strong breakouts
Smart Buy / Smart Sell accuracy highest
👉 Use only Smart signals in this session
🥉 NEW YORK SESSION (Early Part Only)
🕒 6:00 PM – 9:00 PM IST
Use when
Market State = Trending
Volatility = Active
MTF mostly same color
⚠️ Stop after 9:00 PM IST
❌ SESSIONS TO AVOID
🚫 TOKYO SESSION
🕒 5:30 AM – 10:30 AM IST
Low volatility
Sideways (purple candles)
Many fake reversals
🚫 SYDNEY SESSION
🕒 2:30 AM – 5:30 AM IST
Very low volume
Not suitable for scalping
🚫 INDIAN MIDDAY
🕒 11:00 AM – 12:15 PM IST
Choppy
Stop-hunting candles
📌 BEST DAILY ROUTINE (Follow This)
Time (IST) Action
9:15 – 10:30 ❌ Avoid (fake moves)
12:30 – 4:30 ✅ TRADE (Best zone)
6:00 – 8:30 ✅ TRADE (High accuracy)
After 9:00 ❌ Avoid
🧠 EASY MEMORY RULE (Your Style)
“LON → NY = MONEY” 💰
“ASIA = NO TRADE” ❌
🎯 FINAL RECOMMENDATION
If you want only ONE session:
👉 Trade ONLY: 12:30 PM – 4:30 PM IST
This will give:
Less stress
Higher win-rate
Cleaner Smart Buy/Sell signals
🇮🇳 BEST TRADING SESSIONS (INDIA – IST)
🥇 LONDON SESSION – BEST FOR INDIAN TRADERS
🕒 12:30 PM – 4:30 PM IST
✅ THIS IS THE BEST SESSION
Strong trend moves
High accuracy Smart Buy / Smart Sell
Less sideways (purple candles reduce)
Works perfectly with Supertrend + EMA 200
👉 Use this as your MAIN session
🥈 LONDON → NEW YORK OVERLAP (POWER SESSION)
🕒 6:00 PM – 8:30 PM IST
✅ Very strong moves
Institutional activity
Best breakouts
High RR trades (2:1 / 3:1)
⚠️ Trade only Smart Buy / Smart Sell
⚠️ Avoid over-trading
🥉 INDIAN MARKET OPEN (LIMITED USE)
🕒 9:20 AM – 10:15 AM IST
✔ Use only if:
Dashboard = Trending
Volatility = Active
Direction same as higher TF
❌ Avoid after 10:30 AM
❌ SESSIONS TO AVOID (INDIA)
Session Time (IST) Reason
Tokyo 5:30 – 10:30 AM Sideways / fake moves
Mid-day Chop 11:00 – 12:15 PM Low volume
Late NY After 9:00 PM Whipsaws
📌 BEST DAILY ROUTINE (INDIA)
Time What to Do
9:15 – 9:20 ❌ No trade
9:20 – 10:15 ⚠️ Only clean Smart signals
12:30 – 4:30 ✅ MAIN TRADING WINDOW
6:00 – 8:30 ✅ HIGH PROBABILITY
After 9:00 ❌ Stop trading
🧠 EASY MEMORY RULE
“INDIA → LONDON → MONEY” 💰
“ASIA MIDDAY → NO TRADE” ❌
🎯 FINAL ANSWER (ONE-LINE)
👉 For India (IST), trade ONLY between
12:30 PM – 4:30 PM and 6:00 PM – 8:30 PM
ChartSignals.AIChartSignals.AI is an overlay indicator designed to simplify chart reading by highlighting potential trade opportunities and providing optional visual context tools.
WHAT YOU’LL SEE
• Buy/Sell signals displayed directly on the chart
• Optional trade level guides (Entry / Take Profit / Stop Loss) to help structure a plan
• Optional trend and zone overlays to help interpret market conditions
• Optional key levels and breakout markers for additional context
• Dynamic candle coloring to help visualize momentum vs. quieter conditions
HOW TO USE (SIMPLE)
• Add ChartSignals.AI to your chart
• Choose a Signal Mode (controls how frequently signals appear)
• Enable/disable the optional overlays you want
• Use signals as chart assistance and confirm with your own analysis and risk management
ALERTS
This script includes alert conditions for:
• Buy, Sell, general signal notifications, and key level break events (when enabled).
DISCLAIMER
For educational and charting purposes only. Not financial advice. Trading involves risk and you are responsible for your own decisions.
Momentum Pulse Pro [MTF]# Momentum Pulse Pro
## What It Does
Detects when price momentum is stretched to extremes. The indicator analyzes momentum and highlights when the market is overextended — either too hot or too cold.
- **Green background** = Low momentum, potential bounce ahead
- **Red background** = High momentum, potential reversal ahead
- **Stronger color** = Stronger signal
## The Panel
Displays a Momentum Index from 0-100:
- **Below 30** = Stretched to the downside
- **30-70** = Neutral zone
- **Above 70** = Stretched to the upside
## How to Use
1. Wait for the background to change color
2. Stronger color = higher probability setup
3. Use as a filter for your strategy — don't trade it alone
## Settings
- **Colors** — Customize green/red
- **Transparency** — Background visibility
- **Confluence Intensity** — How fast color intensifies
- **Panel Position** — Move the info panel
## Alerts
- Momentum enters extreme zone
- Momentum strengthens or weakens inside extreme zone
## Good to Know
- Non-repainting
- Works on any market
- Best on 4H chart or lower
FTL Context Teaser - PublicFTL Context (Teaser) – Public
FTL Context (Teaser) is a visual market context layer designed to highlight periods of increased market risk and structural tension.
This script does NOT provide trading signals and is NOT intended for standalone trading decisions.
It serves as a contextual overlay only, helping traders visually identify when market conditions shift away from equilibrium.
The teaser version is intentionally limited and does not expose the underlying logic or decision framework.
Full functionality, advanced filters, and integrated decision logic are available in the invite-only FTL Context Layer (PRO).
📩 Contact / PRO access:
fairtradinglab@gmail.com
Educational & informational use only.






















