Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET
Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions.
Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts.
The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence.
THE FOUNDATION
The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology.
Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk.
Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods.
Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses.
HOW THE INDICATOR CALCULATES VOLATILITY
The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility.
For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options.
Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature.
The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements.
The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process.
The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful.
THE CORE VRP CALCULATION
Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress.
The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag.
INTERPRETING THE REGIMES
The indicator classifies market conditions into five distinct regimes based on VRP levels.
The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes.
The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding.
The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates.
The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress.
The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging.
TERM STRUCTURE ANALYSIS
Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows.
Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship.
When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms.
The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics.
MEAN REVERSION CHARACTERISTICS
One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies.
The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low.
Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization.
These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter.
MOMENTUM ANALYSIS
The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium.
The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels.
PRACTICAL APPLICATION
For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk.
For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes.
For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system.
LIMITATIONS AND CONSIDERATIONS
No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention.
The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period.
Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies.
The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources.
Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics.
STATISTICAL OUTPUTS
The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation.
Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions.
ALERT CONDITIONS
The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes.
REFERENCES
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566.
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492.
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78.
Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354.
Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
指标和策略
Volume Profile on Grid with Zscore ColoringThis indicator takes (DeadCatCode) volume profile and starts a new profile when price reaches a new Grid Interval, chosen in the settings.
The candles are also colored by Z score (colors pulled from ChartPrime) based on the 5 deviations from the Daily TWAP, which is anchored from previous days settlement time, 14:59:30CT. The max number of deviations can be changed in the settings to change the sensitivity of the z score coloring.
ShooterViz Lazy Trader EMA SystemShooterViz Lazy Trader EMA System - Complete User Guide
What This Script Does
This is a position scaling indicator that tells you exactly when to enter, add to, and exit trades using a simplified 5-EMA system. It removes the guesswork and decision fatigue from trading by giving you clear visual signals.
The Core Concept
3 entry signals that build your position from 20% → 50% → 100%
2 exit signals that scale you out at 50% → 50% (complete exit)
1 higher timeframe filter that keeps you on the right side of the trend
No Fibonacci calculations, no RSI divergence, no multi-indicator confusion. Just EMAs and price action.
What You'll See On Your Chart
1. Colored EMA Lines
Blue Lines (Entry Zone):
3 EMA (lightest blue) - Early reversal detector
5 EMA (darker blue) - Confirmation line
Green Lines (Add Zone):
21 EMA (bright green) - First add location
34 EMA (lighter green) - Final add location
Red Lines (Exit Zone):
89 EMA (lighter red) - First exit trigger
144 EMA (darker red) - Final exit trigger
Orange Lines (Hyper Frame - optional):
Hyper 21 EMA (from higher timeframe) - Trend direction
Hyper 34 EMA (from higher timeframe) - Bias confirmation
2. Triangle Signals
Green Triangles (Below Price) = BUY/ADD:
Lime triangle with "20%" = Entry 1: Price reclaimed 3→5 EMA (starter position)
Green triangle with "30%" = Entry 2: Price bounced off 21 EMA (first add)
Teal triangle with "50%" = Entry 3: Price broke out from 34 EMA compression (final add)
Red Triangles (Above Price) = SELL:
Orange triangle with "50% OFF" = Exit 1: Price broke below 89 EMA (take half off)
Red triangle with "EXIT ALL" = Exit 2: Price broke below 144 EMA (close remaining position)
3. Background Color (Trend Bias)
Light green background = Hyper frame EMAs trending up (bias LONG)
Light red background = Hyper frame EMAs trending down (bias SHORT)
Gray background = Neutral/choppy (be cautious)
4. Info Table (Top Right Corner)
A live status dashboard showing:
Which entry signals are currently active (✓ or —)
Which exit signals are currently active (⚠ or ⛔)
Current hyper frame bias (🟢 LONG / 🔴 SHORT / ⚪ NEUTRAL)
Which timeframe you're using for hyper frame filtering
How to Install and Set Up
Step 1: Add the Script to TradingView
Open TradingView
Click "Pine Editor" at the bottom of the screen
Copy the entire script code
Paste it into the Pine Editor
Click "Add to Chart"
Step 2: Configure Your Settings
Click the gear icon ⚙️ next to "LazyEMA" in your indicators list.
Critical Settings to Configure:
Hyper Frame Selection (Most Important!)
Location: "Hyper Frame (Pick ONE)" section
Setting: "Timeframe"
What to choose:
Trading 15min or 1H charts? → Use "240" (4-hour)
Trading 4H or Daily charts? → Use "D" (Daily)
Trading Daily or Weekly charts? → Use "W" (Weekly)
Why this matters: This filter keeps you aligned with the bigger trend. Only take longs when this timeframe is green, shorts when it's red.
MA Type (Optional, default is fine)
Location: "MA Config" section
Default: EMA (recommended)
Options: EMA, SMA, WMA, HMA, RMA, VWMA
Most traders should stick with EMA
Visual Toggles (Customize your view)
Entry Zone: Turn individual EMAs on/off (3, 5, 21, 34)
Exit Zone: Turn individual EMAs on/off (89, 144)
Hyper Frame: Toggle the higher timeframe EMAs on/off
Step 3: Clean Up Your Chart
Turn OFF these if visible:
Volume bars (they clutter the view)
Any other indicators you have loaded
Grid lines (optional, but cleaner)
Keep ONLY:
Price candles
Your ShooterViz Lazy Trader EMA System
Maybe support/resistance levels if you manually draw them
How to Trade With This Script
The Basic Workflow
Before the Market Opens:
Check the background color and info table bias
Green background? Look for LONG setups only
Red background? Look for SHORT setups only
Gray background? Stay flat or trade small
During the Trading Session:
LONGS (When hyper frame is bullish):
Wait for Entry 1 signal:
Lime triangle appears with "20%"
Price has reclaimed the 5 EMA after dipping to 3 EMA
Action: Enter 20% of your intended position
Stop loss: Place below the 5 EMA or recent swing low
Wait for Entry 2 signal:
Green triangle appears with "30%"
Price pulled back to 21 EMA and bounced
Action: Add 30% more (you're now at 50% total)
Move stop: Trail it up to below 21 EMA
Wait for Entry 3 signal:
Teal triangle appears with "50%"
Price compressed at 34 EMA and broke out
Action: Add final 50% (you're now 100% loaded)
Move stop: Trail it up to below 34 EMA
Wait for Exit 1 signal:
Orange triangle appears with "50% OFF"
Price broke below 89 EMA
Action: Exit 50% of your position immediately
Move stop on rest: Trail to 89 EMA or lock in profits
Wait for Exit 2 signal:
Red triangle appears with "EXIT ALL"
Price broke below 144 EMA
Action: Exit remaining 50% (you're now flat)
Or: Stop gets hit at 89 EMA (same result)
SHORTS (When hyper frame is bearish):
Same process, but inverted
Triangles appear above price instead of below
Look for breakdowns below EMAs instead of bounces off them
Exit when price reclaims 89 and 144 EMAs
Real-World Example Walkthrough
Setup: Trading ES (S&P 500 Futures) on 1H Chart
Chart Configuration:
Timeframe: 1 Hour
Hyper Frame: 240 (4-hour)
Ticker: ES
Pre-Market Check:
Background is light green
Info table shows "🟢 LONG" for Hyper Bias
Decision: Only look for long entries today
9:30 AM - Market Opens
Price dips and touches 3 EMA
Watch for: Reclaim of 5 EMA
9:45 AM - Entry 1 Triggers
Lime triangle appears below bar
Price closed above 5 EMA at $4,550
Action taken:
Enter long 20% position (2 contracts if targeting 10 total)
Stop loss at $4,545 (below 5 EMA)
Risk: $10 per contract × 2 = $20 risk
10:30 AM - Entry 2 Triggers
Price rallied to $4,565, pulls back
Green triangle appears at 21 EMA ($4,555)
Action taken:
Add 30% (3 more contracts, now have 5 total)
Move stop to $4,550 (below 21 EMA)
Current P/L: +$25 ($5 gain on original 2 contracts, break-even on new 3)
11:15 AM - Entry 3 Triggers
Price consolidates at 34 EMA around $4,560
Teal triangle appears as price breaks to $4,568
Action taken:
Add final 50% (5 more contracts, now have 10 total)
Move stop to $4,555 (below 34 EMA)
Current P/L: +$70
1:00 PM - Price Extends
Price rallies to $4,595 (on track)
89 EMA is at $4,575
No action yet, let it run
2:15 PM - Exit 1 Triggers
Price pulls back from $4,600
Orange triangle appears as price breaks below 89 EMA at $4,580
Action taken:
Exit 50% (5 contracts closed at $4,580)
Keep 5 contracts with stop at 89 EMA ($4,575)
Banked: +$150 average gain on closed 5 contracts
2:45 PM - Exit 2 Triggers
Price continues down
Red triangle appears as price breaks 144 EMA at $4,570
Action taken:
Exit remaining 5 contracts at $4,570
Banked: +$100 on remaining 5 contracts
Final Results:
Total gain: $250 on the trade
Initial risk: $50 (if stopped out at Entry 1)
Risk/Reward: 5:1
Time in trade: ~5 hours
Common Questions
"What if I miss Entry 1? Can I still take Entry 2?"
Yes! Each entry is independent. If you miss the 3→5 reclaim, wait for the 21 EMA bounce. You'll start with a 30% position instead of 20%, but that's fine.
Rule: Never chase. Wait for the next EMA setup.
"What if multiple entry signals trigger at the same bar?"
Rare, but possible. If you see both Entry 1 and Entry 2 trigger together:
Take Entry 1 first (20%)
If the next bar confirms Entry 2 is still valid, add 30%
When in doubt, scale in gradually
"The hyper frame is green but I'm seeing short signals?"
Don't take them. The hyper frame is your bias filter. If it says "go long," ignore short setups. They're usually lower probability and will get stopped out.
"Can I use this for swing trading overnight?"
Absolutely. Just switch your hyper frame:
If you're on Daily charts, use Weekly hyper frame
If you're on 4H charts, use Daily hyper frame
Adjust position sizes for overnight risk
"What if the signal appears right at market close?"
Don't chase it. Wait for the next bar (next day) to confirm. Signals that appear in the last 5 minutes are often noise.
"How do I set up alerts?"
Right-click on the chart
Select "Add Alert"
Choose "LazyEMA" from the condition dropdown
Select which signal you want alerts for:
Entry 1: 3→5 Reclaim
Entry 2: 21 EMA Add
Entry 3: 34 EMA Breakout
Exit 1: 89 EMA Break
Exit 2: 144 EMA Break
Click "Create"
Pro tip: Set up all 5 alerts so you never miss a signal.
Position Sizing Guide see
swingtradenotes.substack.com
Critical Rule: Know your total risk BEFORE you take Entry 1. Don't wing it.
Customization Tips
For Day Traders (Scalpers)
Use 5min or 15min charts
Hyper frame: 1H or 4H
Expect 2-4 setups per day
Tighter stops (0.5% risk per entry)
For Swing Traders
Use 4H or Daily charts
Hyper frame: Daily or Weekly
Expect 1-2 setups per week
Wider stops (1-2% risk per entry)
For Position Traders
Use Daily or Weekly charts
Hyper frame: Weekly or Monthly
Expect 1-2 setups per month
Widest stops (2-3% risk per entry)
The "Don't Be Stupid" Checklist
Before taking ANY signal from this script, ask:
✅ Is the hyper frame bias pointing in my direction?
✅ Is the signal clean (not at a weird time or during news)?
✅ Do I know my stop loss level?
✅ Do I know my position size?
✅ Can I afford to lose if this trade fails?
If you answered "no" to ANY of these, skip the trade.
Troubleshooting
"I'm not seeing any signals"
Possible causes:
The "Show Lazy Trader System" toggle is off (turn it on)
Your chart timeframe is too high (try 1H or 4H)
Market is in a tight range (EMAs are compressed)
You need to refresh the chart
"Too many signals, getting whipsawed"
Fixes:
Increase your chart timeframe (go from 15m to 1H)
Switch to a less volatile ticker
Only trade when hyper frame bias is STRONG (not neutral)
Add a minimum bar count between signals
"The info table is covering my price action"
Fix:
Edit the script
Find the line: table.new(position.top_right, ...
Change position.top_right to position.bottom_right or position.top_left
"Signals appear then disappear"
This is normal (repainting). Some signals (especially compression breakouts) can disappear if the next bar reverses. This is why you:
Wait for bar close before acting
Use alerts that only fire on confirmed bars
Don't chase signals mid-bar
Final Thoughts
This script is a decision-making tool, not a crystal ball. It shows you high-probability setups based on EMA dynamics and trend structure. You still need to:
Manage your risk
Choose your position size
Stick to the rules
Accept losses when they happen
The system works when YOU work the system.
Print this guide, tape it next to your monitor, and follow it religiously for 20 trades before making ANY changes.
Good luck, and stay lazy (the smart way).
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display.
Credits & Attribution
This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues.
Purpose & Philosophy
Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into:
Cross-exchange arbitrage opportunities
Institutional order flow patterns
Market maker positioning
True market sentiment beyond single-exchange data
Key Features
📊 Multi-Exchange Data Aggregation
Real-time tape from 3 major exchanges:
Binance (BTCUSDT)
Coinbase (BTCUSD)
Kraken (BTCUSD)
Customizable source inputs for any trading pair
Synchronized price and volume tracking
Exchange name identification in tape display
📈 Advanced Tape Display
Dynamic tape visualization with configurable line quantity (0-50 lines)
Directional flow indicators (＋/－ symbols for price changes)
Exchange identification for each trade
Volume precision control (0-16 decimal places)
Flexible positioning (9 screen positions available)
Real-time only operation for accurate order flow
🎯 Volume Delta Analysis
Real-time cumulative volume delta calculation
Divergence detection (price vs. volume direction)
Colored visual feedback for market sentiment
Total session delta displayed in footer
Cross-exchange delta aggregation
🚨 Smart Alert System
Marker 1: Volume Delta Bumps (⬆⬇)
Triggers on consecutive volume delta increases
Identifies momentum acceleration points
Filters out divergent movements
Marker 2: Volume Delta Thresholds (⇑⇓)
Fires when delta exceeds user-defined thresholds
Catches significant order imbalances
Excludes divergence conditions
Marker 3: Large Volume Detection (⤊⤋)
Highlights unusually large individual trades
Spots potential institutional activity
Direction-specific triggers
Configure Data Sources
Adjust exchange pairs if needed (e.g., for altcoin analysis)
Leave blank to disable specific exchanges
Use format: EXCHANGE:SYMBOL
Customize Display
Set tape line quantity based on screen size
Position the table for optimal visibility
Choose color scheme (text or background)
Adjust text size for readability
Configure Alerts
Enable desired markers (1, 2, or 3)
Set volume thresholds appropriate for your timeframe
Choose direction (Longs, Shorts, or Both)
Create TradingView alerts on marker signals
Trading Applications
Scalping (1-5 min)
Monitor tape speed for momentum shifts
Watch for cross-exchange divergences
Track large volume clusters
Use Marker 1 for quick momentum trades
Day Trading (5-60 min)
Identify accumulation/distribution phases
Spot institutional positioning
Confirm breakout validity with volume delta
Use Marker 2 for significant imbalances
Swing Trading (1H+)
Analyze volume delta trends
Detect smart money rotation
Time entries with order flow confirmation
Use Marker 3 for institutional footprints
Advanced Techniques
Cross-Exchange Arbitrage Detection
When price disparities appear between exchanges:
Immediate Opportunity: Price differences > 0.1%
Bot Activity: Rapid convergence patterns
Liquidity Vacuum: One exchange leading others
Divergence Trading Strategies
Volume delta diverging from price direction:
Absorption: Strong hands entering (price down, delta up)
Distribution: Smart money exiting (price up, delta down)
Reversal Setup: Sustained divergence over multiple bars
Institutional Footprint Recognition
Large volume characteristics:
Simultaneous Spikes: Same timestamp across exchanges
TWAP Patterns: Consistent volume over time
Iceberg Orders: Repeated same-size trades
Pine Script v6 Enhancements
Type Safety Improvements
Strict boolean type handling
Explicit type declarations
Enhanced error checking
Performance Optimizations
Improved request.security() function
Better memory management with arrays
Optimized table rendering
Modern Syntax Updates
indicator() instead of study()
Namespaced math functions (math.round())
Typed input functions (input.int(), input.float())
Performance Considerations
System Requirements
Real-time Data: Essential for tape operation
Multiple Security Calls: May impact performance
Array Operations: Memory intensive with high line counts
Table Rendering: CPU usage increases with tape size
Optimization Tips
Reduce tape lines for better performance
Increase volume filter to reduce noise
Disable unused markers
Use text-only coloring for faster rendering
Volume Delta + Bandas de Bollinger📊 Volume Delta + Bollinger Bands Indicator
Characteristics
• Volume Delta Histogram
• Shows the difference between buying and selling pressure.
• Green bars indicate positive delta (buyers dominating).
• Red bars indicate negative delta (sellers dominating).
• The histogram oscillates around the zero line, which represents balance between buyers and sellers.
• Bollinger Bands applied to Delta
• A moving average (basis line) of the delta is calculated.
• Upper and lower bands are plotted using standard deviation.
• These bands highlight periods when the delta moves to statistically extreme levels.
• Helps identify unusual buying or selling pressure compared to recent history.
• Zero Line Reference
• A horizontal line at zero shows equilibrium.
• Crossing above zero suggests net buying pressure.
• Crossing below zero suggests net selling pressure.
How to Use
• Identify Buyer/Seller Dominance
• Green histogram bars above zero → buyers are stronger.
• Red histogram bars below zero → sellers are stronger.
• Spot Extremes with Bollinger Bands
• When delta touches or exceeds the upper band, it signals unusually strong buying pressure.
• When delta touches or exceeds the lower band, it signals unusually strong selling pressure.
• These extremes can precede reversals or mark continuation if confirmed by price action.
• Combine with Price Analysis
• Use delta signals together with price trends and support/resistance levels.
• For example, if price is at resistance and delta spikes into the upper band, it may indicate exhaustion of buyers.
• If price is at support and delta spikes into the lower band, it may indicate exhaustion of sellers.
• Trading Strategy Ideas
• Reversal setups: Look for delta extremes against key price levels.
• Trend confirmation: Sustained delta above zero supports bullish trends; sustained delta below zero supports bearish trends.
• Volatility filter: Bollinger Bands help filter out normal fluctuations and highlight significant imbalances.
👉 In short, this indicator combines order flow pressure (delta) with volatility context (Bollinger Bands), making it useful for spotting moments when buying or selling activity becomes unusually strong compared to recent history.
Tamil | MTF DashboardThe Tamil | MTF Dashboard is a powerful multi-timeframe (MTF) market strength and trend-bias analyzer designed to give traders a fast, at-a-glance understanding of market conditions across 7 timeframes.
This dashboard consolidates essential indicators into a clean table plus a dynamic bias label that updates live with the chart timeframe.
⸻
✅ What This Dashboard Shows
1. RSI (Multi-Timeframe)
• Uses custom color logic:
• Green: RSI > 55
• Red: RSI < 45
• Gray: Neutral zone (45–55)
• Quickly identifies momentum shifts across multiple timeframes.
2. Stochastic (Multi-Timeframe)
• Values clamped to 0–100
• Color-coded:
• Oversold (<20): Green
• Overbought (>80): Red
• Neutral: Gray
3. Supertrend Direction
• Returns Buy / Sell / Neutral per timeframe
• Color-coded trend bias for quick directional confirmation.
4. Moving Average Trend (SMA or EMA)
• Choose between SMA or EMA
• Shows whether price is above/below MA
• Above MA → Bullish (Buy)
• Below MA → Bearish (Sell)
5. Combined Score (-4 to +4)
A powerful numeric sentiment summarizing 4 trend components:
• RSI score
• Stochastic score
• Supertrend score
• MA trend score
Each indicator contributes -1, 0, or +1, giving a total score:
• +2 to +4 = Bullish
• -2 to -4 = Bearish
• Between -1 and +1 = Neutral
Includes Trend Strength:
• Very Weak
• Weak
• Moderate
• Strong
All shown inside the Score cell per timeframe.
⸻
📌 Bias Label (Chart Timeframe Only)
Displays real-time information for the active chart timeframe:
• Bias (Bullish / Bearish / Neutral)
• Combined Score
• ATR value
• ADX value (0–100, DI-based calculation)
Perfect for gauging trend strength without cluttering the chart.
⸻
🧩 Supported Timeframes
The dashboard updates the following timeframes simultaneously:
• 1m, 3m, 5m, 15m, 1H, 4H, 1D
⸻
🎯 Designed For
• Intraday traders
• Swing traders
• Scalpers
• Multi-timeframe analysts
• Traders who want instant visual confirmation of market strength
⸻
⭐ Why This Dashboard Is Unique
• True multi-timeframe aggregation
• Custom, realistic scoring engine
• Accurate ADX (0–100) matching textbook DI calculation
• Clean color logic for fast interpretation
• Zero repainting (uses standard indicators + request.security)
• Works on any market: Stocks, Crypto, Forex, Futures
仓位计算器# 仓位计算器
通过开仓、止损、止盈计算固定盈亏比适合的开仓数量，根据开仓和止损判断开仓方向。
首次使用需要手动设置开仓、止盈、止损，之后可以手动拖拽价格线设置值然后自动计算仓位信息。
---
# Position Calculator
Calculates the optimal position size with a fixed profit/loss ratio based on opening, stop-loss, and take-profit levels. Determines the direction of the position based on the opening and stop-loss settings.
Initial use requires manual setting of opening, take-profit, and stop-loss. Afterward, you can manually drag the price line to set values and the system will automatically calculate position information.
Liquidity Swings [LuxAlgo] – Intrabar More Granulara “high-resolution” version of the same script with the more-granular pivots baked in.
Alson Chew PAM EXE and Mother BarIndicators for strategies taught by Alson Chew's Price Action Manipulation (PAM) course
Two functions.
First it identifies EXE bars (Pin, Mark, Icecream bars).
Second it identifies Mother bars and draws an extension line for 6 bars.
Applicable to all time frames and can customise how many signals to show.
To be used in conjunction with trading strategies like
- 20 SMA, 50 SMA, 200 SMA FS formation
- Force Bottom, Force Top FS formation
- UR1 and DR1 using EXE Bar
Support & Resistance Auto-Detector by Rakesh Sharma📊 SUPPORT & RESISTANCE AUTO-DETECTOR
Automatically identifies and displays key price levels where traders make decisions. No more manual drawing - let the algorithm do the work!
✨ KEY FEATURES:
- Auto-detects Swing High/Low levels with strength rating
- Previous Day High/Low (PDH/PDL) - Most important intraday levels
- Previous Week High/Low (PWH/PWL) - Strong swing levels
- Previous Month High/Low (PMH/PML) - Major turning points
- Round Number levels (Psychological barriers)
- S/R Zones (Better than exact lines)
- Breakout/Breakdown alerts
- Live Dashboard with trade bias
🎯 PERFECT FOR:
Nifty, Bank Nifty, Stocks, Forex, Crypto - All markets, all timeframes
⚡ SMART FEATURES:
- Strength Rating: Very Strong/Strong/Medium/Weak
- Distance Calculator: Shows points to next S/R
- Trade Bias: "Buy Dips" / "Sell Rallies" / "Breakout"
- Break Alerts: Get notified on PDH/PDL breaks
- Clean Chart: Shows only most important levels
💡 TRADING EDGE:
Trade bounces at support, rejections at resistance, or breakouts through key levels. Combines perfectly with price action and other indicators.
Created by: Rakesh Sharma
ICT Fair Value Gap Detector [Eˣ]⚡ Fair Value Gap Detector
Overview
The Fair Value Gap Detector automatically identifies price imbalances on your charts - the inefficiencies left behind when price moves too quickly. This indicator reveals where price is likely to return for "rebalancing", based on ICT (Inner Circle Trader) concepts of market efficiency.
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🎯 What This Indicator Does
Detects Fair Value Gaps:
• 🟢 Bullish FVG - Gap left below during aggressive upward move
• 🔴 Bearish FVG - Gap left above during aggressive downward move
• Automatically identifies 3-candle price inefficiencies
• Works on all timeframes and instruments
Smart Fill Tracking:
• Full Fill - Price completely fills the gap
• 50% Fill - Price fills half the gap (critical level)
• Partial Fill - Price touches gap edge
• Real-time fill percentage tracking
• Auto-removes filled gaps (optional)
Professional Features:
• Active Gap Highlighting - Shows nearest unfilled gap
• Distance Calculator - Displays how far price is from gaps
• Market Bias - Analysis based on gap balance
• Size Filtering - Minimum gap size to avoid noise
• Visual Clarity - Clean boxes with color-coding
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📚 Understanding Fair Value Gaps
What Are Fair Value Gaps?
Fair Value Gaps (FVGs), also known as imbalances or inefficiencies, are zones where price moved so quickly that normal trading didn't occur. They represent:
• Price Imbalance - One-sided aggressive buying or selling
• Unfair Pricing - Some participants didn't get to trade at these levels
• Market Inefficiency - Supply/demand equilibrium was disrupted
• Rebalancing Zones - Price often returns to "fill" these gaps
The ICT Concept:
Markets constantly seek equilibrium (fair value). When price moves too fast:
1. It leaves gaps where normal trading didn't happen
2. These gaps represent unfair/inefficient pricing
3. Market has a tendency to return and "rebalance"
4. Smart money knows this and trades the fills
Why FVGs Work:
• Unfilled Orders - Traders who missed the move have pending orders in the gap
• Algorithmic Trading - Algos programmed to exploit inefficiencies
• Market Psychology - Traders notice gaps and place orders there
• Institutional Behavior - Smart money uses gaps for entries/exits
FVG vs Regular Gaps:
• Regular Gaps - Occur at market open, between daily closes
• Fair Value Gaps - Occur intraday, between 3 consecutive candles
• FVGs happen more frequently and on all timeframes
• FVGs are more tradeable for intraday/swing traders
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🟢 Bullish Fair Value Gaps Explained
How They Form:
Bullish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the high reference)
2. Candle 2 - Strong bullish candle (aggressive buying)
3. Candle 3 - Continuation candle
The Gap: Candle 3's LOW is above Candle 1's HIGH = Gap left unfilled
Visual Example:
```
Candle 3: Low at $105 ──────────┐
│ ← GAP (Bullish FVG)
Candle 2: Strong bullish │
│
Candle 1: High at $100 ──────────┘
```
What It Means:
• Price jumped from $100 to $105+ so fast, no trading occurred in between
• This $100-$105 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as support
Trading Bullish FVGs:
Strategy:
• Wait for price to retrace down into the bullish FVG (green box)
• Look for rejection/bounce from the gap zone
• Enter long when price respects the FVG as support
• Stop loss: Below the FVG
• Target: Previous high or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches bottom of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bullish FVG forms: $50,000 - $50,500 (500 point gap)
• Price rallies to $52,000 then retraces
• Price drops to $50,250 (50% of gap filled)
• Bullish reversal candle appears
• Enter long at $50,500, stop at $49,800
• Target: $52,000+
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🔴 Bearish Fair Value Gaps Explained
How They Form:
Bearish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the low reference)
2. Candle 2 - Strong bearish candle (aggressive selling)
3. Candle 3 - Continuation candle
The Gap: Candle 3's HIGH is below Candle 1's LOW = Gap left unfilled
Visual Example:
```
Candle 1: Low at $100 ───────────┐
│ ← GAP (Bearish FVG)
Candle 2: Strong bearish │
│
Candle 3: High at $95 ───────────┘
```
What It Means:
• Price dropped from $100 to $95 so fast, no trading occurred in between
• This $95-$100 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as resistance
Trading Bearish FVGs:
Strategy:
• Wait for price to retrace up into the bearish FVG (red box)
• Look for rejection/reversal from the gap zone
• Enter short when price respects the FVG as resistance
• Stop loss: Above the FVG
• Target: Previous low or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches top of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bearish FVG forms: $48,000 - $48,500 (500 point gap)
• Price drops to $46,000 then retraces
• Price rallies to $48,250 (50% of gap filled)
• Bearish reversal candle appears
• Enter short at $48,000, stop at $48,700
• Target: $46,000-
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📊 How To Use This Indicator
Strategy 1: FVG Rebalancing (Classic)
Best For: Swing trading, reversal trading
Timeframes: 15min, 1H, 4H
Win Rate: 65-75%
Entry Rules:
1. Identify unfilled FVG (bright color, not gray)
2. Wait for price to return to the gap
3. Best entry: 50% fill of the gap
4. Look for reversal confirmation:
• Bullish FVG: Pin bar, engulfing, hammer
• Bearish FVG: Shooting star, bearish engulfing
5. Enter when price bounces/rejects from FVG
6. Stop: Beyond opposite side of FVG
7. Target: 2-3R or previous high/low
Why It Works: 70%+ of FVGs get filled, and 60%+ show reaction
Strategy 2: FVG + Order Block Confluence
Best For: High-probability setups
Timeframes: 1H, 4H
Win Rate: 75-85%
Entry Rules:
1. Find FVG that overlaps with Order Block
2. This creates a "super zone" of confluence
3. Wait for price to return to this zone
4. Enter on first touch of confluence zone
5. Stop: Beyond the confluence zone
6. Target: 3-4R
Why It Works: Double institutional concepts = highest probability
Strategy 3: Multi-Timeframe FVG
Best For: Position trading, major moves
Timeframes: Combine Daily + 4H or 4H + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify large FVG on higher timeframe (Daily/4H)
2. Wait for price to enter this HTF FVG
3. Switch to lower timeframe (4H/1H)
4. Look for LTF FVG within HTF FVG in same direction
5. Trade the LTF FVG fill
6. Stop: Below LTF FVG
7. Target: Exit HTF FVG or beyond
Why It Works: Timeframe alignment = institutional consensus
Strategy 4: FVG Rejection Trade
Best For: Quick scalps, day trading
Timeframes: 5min, 15min
Win Rate: 60-70%
Entry Rules:
1. Price enters FVG zone
2. Immediate rejection (strong reversal candle)
3. Enter on close of rejection candle
4. Tight stop beyond FVG
5. Quick target: 1-2R
Why It Works: Strong rejection = institutional defense of level
Strategy 5: FVG-to-FVG Trading
Best For: Momentum trading
Timeframes: 15min, 1H
Win Rate: 55-65%
Entry Rules:
1. Identify bullish FVG below and bearish FVG above
2. Enter long at bullish FVG, target bearish FVG
3. Or enter short at bearish FVG, target bullish FVG
4. Price often moves from one imbalance to another
5. Stop: Beyond trading FVG
6. Target: Opposite FVG
Why It Works: Price rebalances from one inefficiency to another
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⚙️ Settings Explained
Display Settings
Show Bullish/Bearish FVG
• Toggle each type on/off independently
• Customize colors for each FVG type
• Default: Green (bullish), Red (bearish)
• Tip: Use colors that contrast with your chart
Max FVG to Display (Default: 20)
• Limits how many gaps are shown at once
• Lower (10-15): Cleaner chart, recent gaps only
• Higher (30-50): More historical context
• Recommended: 15-25 for most trading
Show FVG Labels (Default: ON)
• Displays "FVG+" and "FVG-" text on gaps
• Shows 🎯 on active (nearest) gap
• Shows fill percentage (e.g., "FVG+ 35%")
• Turn OFF for minimal appearance
• Recommended: Keep ON for clarity
Extend Gaps (bars) (Default: 50)
• How far to extend gap boxes to the right
• Lower (20-30): Shorter boxes
• Higher (100+): Longer boxes, easier to see
• Gaps auto-extend until filled or limit reached
• Recommended: 40-60 bars
Filters
Min Gap Size % (Default: 0.05)
• Minimum gap size as percentage of price
• Filters out tiny, insignificant gaps
• Crypto: 0.05-0.15% (high volatility)
• Forex: 0.03-0.10% (moderate volatility)
• Stocks: 0.05-0.20% (varies by stock)
• Indices: 0.05-0.15%
• Adjust based on instrument's average move
Show Filled Gaps (Default: OFF)
• When ON: Shows gray boxes for filled gaps
• When OFF: Gaps disappear after mitigation
• Use ON: For learning and backtesting
• Use OFF: For clean, active trading view
Advanced Settings
Auto-Detect Mitigation (Default: ON)
• Automatically tracks when gaps are filled
• Updates fill percentage in real-time
• Marks gaps as "mitigated" when filled
• Recommended: Keep ON
Mitigation Type (Default: Full)
• Full: Gap considered filled when price closes through entire gap
• 50%: Gap considered filled at 50% (critical level)
• Partial: Gap considered filled on first touch
• For learning: Use "Full"
• For aggressive trading: Use "50%"
• For conservative trading: Use "Partial"
Highlight Nearest Gap (Default: ON)
• Highlights the closest unfilled gap to current price
• Active gap shown with 🎯 emoji and brighter color
• Helps focus on most relevant opportunity
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish FVG Count
• Number of active (unfilled) bullish fair value gaps
• Higher number = More potential support zones below
• Multiple bullish FVGs = Strong rebalancing demand
Bearish FVG Count
• Number of active (unfilled) bearish fair value gaps
• Higher number = More potential resistance zones above
• Multiple bearish FVGs = Strong rebalancing supply
Bias Indicator
• ⬆ Bullish: More bullish FVGs than bearish
• ⬇ Bearish: More bearish FVGs than bullish
• ↔ Neutral: Equal FVGs on both sides
• Market tends to fill nearby gaps first
Target Indicator
• Shows nearest unfilled gap and distance
• Example: "Bull FVG -1.25%" = Bullish gap is 1.25% below price
• Example: "Bear FVG +0.85%" = Bearish gap is 0.85% above price
• Watch for price to reach these targets
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📱 Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish FVG
• Fires when price drops into a bullish gap
• Action: Watch for bounce/reversal
• High-probability long setup developing
2. Price Entering Bearish FVG
• Fires when price rallies into a bearish gap
• Action: Watch for rejection/reversal
• High-probability short setup developing
3. New Bullish FVG Detected
• Fires when a new bullish gap forms
• Action: Mark zone for future fill
• New rebalancing target below identified
4. New Bearish FVG Detected
• Fires when a new bearish gap forms
• Action: Mark zone for future fill
• New rebalancing target above identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Fair Value Gap Detector"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch fills in real-time
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💎 Pro Tips & Best Practices
✅ DO:
• Wait for 50% fill - Middle of gap has highest win rate (65-70%)
• Use confirmation - Don't trade just because price touched gap
• Combine with structure - FVG + support/resistance = high probability
• Trade first fill - Unfilled gaps have better success rate than refilled
• Respect full fills - Once fully filled, gap is less reliable
• Use multiple timeframes - HTF FVGs are stronger than LTF
• Check session timing - FVGs work best during London/NY sessions
• Follow the bias - More bullish FVGs = favor longs
⚠️ DON'T:
• Don't blindly fade gaps - Wait for price action confirmation
• Don't ignore momentum - Strong trends can blow through FVGs
• Don't trade every gap - Quality over quantity
• Don't assume all gaps fill - About 70-80% fill, 20-30% don't
• Don't use tight stops - Allow room for wick into gap
• Don't overtrade - Wait for confluence and confirmation
• Don't fight trends - Best FVG trades are with higher TF trend
• Don't ignore fill percentage - 50% is often the sweet spot
🎯 Best Timeframes:
• Scalpers: 1min, 5min (many gaps, quick fills)
• Day Traders: 5min, 15min, 1H (balanced)
• Swing Traders: 1H, 4H, Daily (larger, more reliable gaps)
• Position Traders: 4H, Daily, Weekly (major imbalances)
🔥 Best Instruments:
• Excellent: BTC, ETH, ES, NQ, Forex majors (clean price action)
• Good: Gold, Oil, Major indices, Large-cap stocks
• Moderate: Altcoins, small-cap stocks (more noise)
• Best Markets: Trending markets with clear swings
⏰ Best Times for FVG Trading:
• London Session: High volume = reliable gap fills
• NY Session: Strong moves create quality gaps
• London-NY Overlap: Best time for gap creation and fills
• Asian Session: Lower probability, wait for London
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🎓 Advanced FVG Concepts
FVG Mitigation Levels
Understanding fill percentages:
• 0-25% Fill: Gap barely touched, often continues without fill
• 25-50% Fill: Partial rebalancing, may reverse here
• 50% Fill: CRITICAL LEVEL - Highest probability reversal zone
• 50-75% Fill: Deep rebalancing, strong reversal likely
• 75-100% Fill: Full rebalancing, gap's purpose fulfilled
Why 50% Matters: Market seeks equilibrium, and 50% represents perfect balance
FVG Inversions
When price breaks through a gap completely:
• Bullish FVG that's broken becomes bearish (support → resistance)
• Bearish FVG that's broken becomes bullish (resistance → support)
• Inverted gaps are weaker than fresh gaps
• Trading: Can fade the inverted gap but with caution
FVG Confluence Zones
Multiple FVGs at similar level:
• Creates "super gap" or confluence zone
• Much higher probability of reaction
• Wider zone for entries (more room for stops)
• Often aligns with other institutional concepts
FVG + Order Block Combo
When FVG overlaps with Order Block:
• Double institutional concept
• Extremely high probability setup (75-85% win rate)
• Price drawn to fill gap AND test order block
• Use tight stops, generous targets (3-5R possible)
Nested FVGs (Multi-Timeframe)
Small FVG inside larger FVG:
• Daily FVG contains 4H FVG contains 1H FVG
• Trade the smallest FVG in direction of larger ones
• Highest probability when all aligned
• Progressive targets: Fill small → medium → large gaps
FVG Exhaustion
When price creates multiple FVGs in same direction:
• Indicates strong momentum/impulsive move
• Each gap represents acceleration
• Last gap often signals exhaustion
• Watch for reversal after filling final gap
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📈 Common FVG Patterns
Pattern 1: The Perfect Rebalance
• FVG forms during strong move
• Price continues 100+ pips
• Clean return to 50% of gap
• Immediate reversal
• Textbook setup, 70%+ win rate
Pattern 2: The Double Fill
• Price partially fills gap (25%)
• Weak reaction, continues
• Returns again for deeper fill (75%)
• Strong reversal on second fill
• Second fill often better entry
Pattern 3: The Blow-Through
• Price approaches gap
• Completely ignores it, no reaction
• Keeps going in same direction
• Sign of very strong momentum
Pattern 4: The Magnet Effect
• Price slowly grinds toward gap
• Accelerates as it gets close
• Quickly fills and reverses
• Common in ranging markets
Pattern 5: The False Fill
• Price wicks into gap briefly
• Immediately reverses without filling
• "Stop hunt" or liquidity grab
• Gap remains unfilled
• Often precedes strong move
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🚀 What Makes This Different?
Unlike basic gap indicators, Fair Value Gap Detector:
• ICT Methodology - Based on proven institutional concepts
• Real-Time Fill Tracking - Shows percentage filled as it happens
• 3 Mitigation Types - Full, 50%, Partial for different strategies
• Active Gap Highlighting - Shows most relevant opportunity
• Smart Filtering - Minimum size to avoid noise
• Visual Clarity - Clean, professional appearance
• Auto-Management - Removes filled gaps automatically
• Distance Tracking - Know exactly where price needs to go
Based On Professional Concepts:
• ICT Fair Value Gap theory
• Market efficiency principles
• Price rebalancing dynamics
• Institutional order flow analysis
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📈 FVG Statistics & Probabilities
Based on ICT concepts and trader observations:
Gap Fill Rates:
• 70-80% of FVGs get filled eventually
• 60-70% show some reaction when filled
• 50% fill level has ~65% reversal rate
• Full fills have ~55% reversal rate
Timeframe Reliability:
• Daily FVGs: ~75-85% fill rate, strongest reactions
• 4H FVGs: ~70-80% fill rate, strong reactions
• 1H FVGs: ~65-75% fill rate, good reactions
• 15min FVGs: ~60-70% fill rate, moderate reactions
• 5min FVGs: ~55-65% fill rate, weaker reactions
Best Practices:
• First touch of gap = 65-70% win rate
• 50% fill = 65% win rate
• FVG + Order Block = 75-85% win rate
• Multi-timeframe aligned FVG = 70-80% win rate
• FVG in trending market = 60-70% win rate
Common Failures:
• Strong momentum blows through gaps (20-30% of time)
• Gaps in low-volume periods less reliable
• Very small gaps (<0.05%) often ignored
• Counter-trend gaps have lower success rate
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🙏 If You Find This Helpful
• ⭐ Leave your feedback
• 💬 Share your experience in the comments
• 🔔 Follow for updates and new tools
Questions about Fair Value Gaps? Feel free to ask in the comments.
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Version History
• v1.0 - Initial release with 3-candle FVG detection and real-time fill tracking
ADX Trend VisualizerThis is an enhanced version of the excellent indicator created by ⓒ BeikabuOyaji (Thank You!).
I've made it more visually intuitive by improving the ADX DI line crossover visualization and adding signal alerts.
This indicator utilizes standard ADX calculations and focuses on intuitive visual separation of signals.
It serves as an excellent reference tool for comparison with existing indicators.
FVG Supply and DemandThis indicator combines powerful tools into one:
• Supply & Demand Zones built from swing highs/lows with ATR-based zone width, POI markers, and Break-of-Structure (BOS) detection.
• Volumized Fair Value Gaps (FVGs) showing bullish/bearish gaps, total volume inside the gap, volume distribution, optional zone-combining, and auto-cleanup.
• Swing TSL Line and manage bar color.
It helps visualize key imbalance areas, institutional zones, and price reaction points.
Credits to the Author.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice.
Past results do not guarantee future outcomes.
Use responsibly and in conjunction with your market analysis.
3D Globe - World Stock MarketsA real-time 3D rotating globe visualization showing 19 major stock exchanges worldwide with their current trading status.
█ OVERVIEW
This indicator displays an interactive 3D Earth globe that rotates in sync with the sun (sun-synchronous rotation), providing an intuitive view of which markets are currently in daylight/trading hours. Each stock exchange is plotted at its geographic location with color-coded status indicators.
█ FEATURES
- 3D Globe Rendering
- Spherical projection with proper visibility culling (hidden side not drawn)
- 27 country/region polygons derived from Natural Earth 110m data
- Optional latitude/longitude grid (meridians every 20°, parallels every 20°)
- Sun-synchronous auto-rotation: the globe rotates 15° per hour to follow real-world daylight
- 19 Stock Exchanges Tracked
NYSE, NASDAQ, TSX (Toronto), BMV (Mexico), B3 (São Paulo), LSE (London), EURONEXT (Paris), XETRA (Frankfurt), SIX (Zurich), MOEX (Moscow), TADAWUL (Riyadh), JSE (Johannesburg), NSE (Mumbai), SSE (Shanghai), HKEX (Hong Kong), TSE (Tokyo), KRX (Seoul), SGX (Singapore), ASX (Sydney)
- Real-Time Market Table (10 columns)
- Status indicator (● open / ○ closed)
- Exchange name and country with flag
- Local time with seconds (HH:MM:SS)
- Opening time
- Time to open (for closed markets)
- Time since open (for open markets)
- Time to close (for open markets)
- Index name (S&P500, FTSE, DAX, CAC40, N225, HSI, etc.)
- Daily % change with color coding
█ HOW IT WORKS
The globe uses standard 3D mathematics:
1. Geographic coordinates (lat/lon) are converted to 3D Cartesian points on a unit sphere
2. Rotation matrices are applied for X-axis tilt and Y-axis rotation (sun position)
3. Points are projected onto 2D screen space
4. Visibility culling hides points on the far side of the globe (z < 0)
Performance optimization: The globe redraws only when the minute changes, while the market table updates every tick for accurate second-by-second timing.
█ SETTINGS
Globe Group:
- Globe Size: Adjustable radius (15-60)
- Show Grid: Toggle latitude/longitude lines
- Fill Continents: Toggle solid land fill vs outline only
Style Group:
- Background, Ocean, Land, Land Border, Grid colors
- Open/Closed market indicator colors
- Globe border color
Table Group:
- Position: Left or Right side
- Show/Hide market table
█ DATA SOURCES
- Geographic data: Simplified polygons derived from Natural Earth (public domain)
- Market hours: Standard trading sessions (does not account for holidays)
- Index data: Real-time from TradingView (TVC, MOEX, TADAWUL, NSE, SSE, ASX providers)
█ LIMITATIONS
- Market hours are based on regular sessions only (no pre/post market, no holiday calendar)
- UTC offsets are fixed (no automatic DST adjustment)
- Some index symbols may not be available in all regions
█ USE CASES
- Quick visual overview of global market activity
- Identifying trading opportunities across time zones
- Understanding market session overlaps
- Educational tool for learning about world markets
Open-source under Mozilla Public License 2.0.
3 Lines RCI + Psy Signal + RSI Background📌 3 Lines RCI + Psy Signal + RSI Background
This indicator combines three RCI lines, Psychological Line signals, RSI-based background highlights, and ADX strength detection to visualize market momentum, trend strength, and potential reversal zones.
🔍 Main Features
📌 1. Triple RCI (Rank Correlation Index)
Displays Short / Mid / Long RCI
Detects momentum shifts and trend reversals
Highlight zones:
Overbought: +80 ~ +100 (Red Zone)
Oversold: -80 ~ -100 (Green Zone)
📌 2. Psychological Line Signal
Column bars appear only in extreme conditions:
Overbought → Red Bars
Oversold → Green Bars
Helps detect short-term sentiment extremes
📌 3. RSI Background Highlight
Red Background: RSI > Overbought threshold
Green Background: RSI < Oversold threshold
Provides a visual cue of underlying market pressure.
📌 4. ADX Trend Strength
ADX line color shows strength level:
Blue: Weak trend
Yellow: Moderate trend
Red: Strong trend
Useful to identify whether signals occur in a trend or range state.
🎯 Trading Usage Tips
RCI + RSI + Psy confluence can identify strong reversal timing.
Use signals only when ADX is weak or moderate to avoid counter-trading a strong trend.
Combine short/mid RCI crossovers with extreme zones for potential entry timing.
⚙️ Suitable For
Scalping, day trading, swing trading
Stocks, Forex, Crypto, Indices, Commodities
Fanfans MACD+RSIFanfans Minimalist Trading Indicator (Pine Script v6)
Overview
The Fanfans Minimalist Indicator is a comprehensive multi-condition trading signal tool built for TradingView (Pine Script v6). It integrates trend analysis, momentum filters, and position management rules to generate high-confidence long/short signals, with built-in risk controls to limit position exposure. Designed for clarity and practicality, it balances signal sensitivity with false-signal reduction, suitable for various assets (stocks, cryptocurrencies, forex, futures) and timeframes (1H, 4H, daily).
Core Features
Multi-Indicator Convergence: Combines WMA trend lines, MACD (dual-period), and RSI filters to validate signals.
Position Risk Management: Limits maximum 2 concurrent positions per direction; prohibits re-entering the same direction after a stop-loss (only opposite direction allowed).
Flexible Debug Mode: Loosens filters for testing purposes, helping users verify signal triggers before tightening conditions.
Visual Clarity: Color-coded bars, dynamic labels, and status panels provide real-time trading context.
Customizable Parameters: All key inputs (indicator periods, risk multiples, position limits) are adjustable.
MeanReversion_tradeALERTOverview The Apex Reversal Predictor v2.5 is a specialized mean reversion strategy designed for scalping high-volatility assets like NQ (Nasdaq), ES (S&P 500), and Crypto. While most indicators chase breakouts, this system hunts for "Liquidity Sweeps"—moments where the market briefly breaks a key level to trap retail traders before snapping back to the true value (VWAP).
This is not just a signal indicator; it is a full Trade Manager that calculates your Entry, Stop Loss, and Take Profit levels automatically based on volatility (ATR).
The Logic: Why This Works Markets act like a rubber band. They can only stretch so far from their average price before snapping back. This script combines three layers of logic to identify these snap-back points:
The Stretch (Sigma Score): Measures how far price is from the VWAP relative to ATR. If the score > 2.0, the "rubber band" is overextended.
The Trap (Liquidity Sweep): Identifies Pivot Highs/Lows. It waits for price to break a pivot (luring in breakout traders) and then immediately reverse (trapping them).
The Exhaustion (RSI): Confirms that momentum is Overbought/Oversold to prevent trading against a strong trend.
Key Features
Dynamic Lines: Automatically draws Blue (Entry), Red (SL), and Green (TP) lines on the chart for active trades.
Smart Targets: Two modes for taking profit:
Mean Reversion: Targets the VWAP line (High Win Rate).
Fixed Ratio: Targets a specific Risk:Reward (e.g., 1:2).
Live Dashboard: Tracks Win Rate, Net Points, and the live "Stretch Score" in the bottom right corner.
Alert Ready: Formatted JSON alerts for easy integration with Discord or trading bots.
How & When to Use (User Guide)
1. Best Timeframes
5-Minute (5m): Best for NQ and volatile stocks (TSLA, NVDA). Filters out 1-minute noise but catches the intraday reversals.
15-Minute (15m): Best for Forex or slower-moving indices (ES).
2. The Setup Checklist Before taking a trade, look at the Dashboard in the bottom right:
Step 1: Check the "Stretch (Sigma)". Is it Orange or Red? This means price is extended and ripe for a reversal. If it's Green, the market is calm—be careful.
Step 2: Wait for the Signal.
"Apex BUY" (Green Label): Price swept a low and closed green.
"Apex SELL" (Red Label): Price swept a high and closed red.
Step 3: Execute. Enter at the close of the signal candle. Set your stop loss at the Red Line provided by the script.
3. Warning / When NOT to Use
Strong Trending Days: If the market is trending heavily (e.g., creating higher highs all day without looking back), do not fight the trend.
News Events: Avoid using this during CPI, FOMC, or NFP releases. The "rubber band" logic breaks during news because volatility expands indefinitely.
Buy vs Sell Volume EMA + Smart Momentum Shift (Crypto)This is a volume-based momentum indicator for crypto that:
Splits total volume into buy vs. sell volume based on candle direction.
Applies EMAs to buy/sell volume and tracks slope and acceleration of those EMAs.
Looks for moments where buyer volume momentum is improving and seller momentum is fading.
Optionally requires RSI and/or MACD confirmation, a “near recent low” location filter, and a score threshold based on several micro-conditions.
Outputs:
Colored background depending on whether buy or sell volume dominates.
EMA crossover arrows (“Buy” and “Sell”) for simpler regime shifts.
Green dots (“Strong Buy Momentum Shift”) when all filters are satisfied.
Alert conditions for the above signals.
It runs in a separate pane (overlay=false) and is explicitly designed for crypto, but works on any symbol/interval.
EMA750 & VWAP Cross IndicatorA trend-following indicator that identifies high-probability entry signals based on EMA750 and VWAP crossovers.
How it works:
Monitors price position relative to EMA750 (trend filter)
Generates LONG signals when price crosses above VWAP while above EMA750
Generates SHORT signals when price crosses below VWAP while below EMA750
Highlights the FIRST signal after each EMA cross (yellow markers)
Automatically calculates targets based on recent swing highs/lows
Stop loss set at EMA750 level
Features:
✓ Visual target and stop loss levels
✓ Customizable alerts for first and all signals
✓ Real-time status dashboard
✓ Swing point detection for target calculation
✓ Signal tracking until opposite VWAP cross
Best for: Swing trading and trend-following strategies on higher timeframes.
Candlestick Pattern Identifier (Extended + Alerts)Candlestick Pattern Identifier (Extended + Alerts)
CISD Trend Candle - EMA + Always MACDThis indicator combines trend detection using EMA with constant MACD cross signals to provide a clear visual understanding of market direction and potential entry/exit points.
■ 1. Trend Detection with EMA (Candle Coloring)
Calculates an EMA (default: 21).
Checks whether the last n candles (default: 5):
Close above the EMA → Uptrend (Blue candles)
Close below the EMA → Downtrend (Red candles)
Otherwise → Neutral (Gray candles)
Candle colors automatically change to show the current market trend at a glance.
■ 2. Always-Visible MACD Golden/Dead Cross Signals
Based on MACD settings (12, 26, 9)
Golden Cross → Blue upward triangle below the bar
Dead Cross → Red downward triangle above the bar
Signals are always displayed, regardless of trend state, making them useful for timing entries and exits.
■ 3. EMA Line Display
The EMA used for trend detection is plotted as an orange line.
🎯 Ideal Use Cases
This indicator is designed for traders who want to:
Quickly visualize trend direction through candle colors
Always monitor MACD cross signals
Improve decision-making with simple, intuitive visual cues
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
