DSI-OBL OBHDSI-DIGITAL SMART INVEST — OBL / OBH Zones
Smart multi-timeframe indicator for visualizing Order Blocks — Demand (OBL) and Supply (OBH) — with precise entry, stop-loss, and take-profit levels.
📌 How It Works:
Detects bullish (OBL) and bearish (OBH) blocks using candlestick patterns.
Displays zones across 3 timeframes: LTF (current), 1H, and 1D.
Zones are updated dynamically and adapt to price action.
Shows trade signals with RR calculation when strong patterns are confirmed.
🟢 OBL (Order Block Long) — potential buy area
🔴 OBH (Order Block High/Sell) — potential sell area
🎯 Use it to:
Spot high-probability support/resistance zones
Plan entries with pre-set TP/SL
Trade trend reversals and retests
🛠️ Customizable Inputs:
Block Power (sensitivity)
Enable/disable zones per timeframe
Custom zone colors
DSI-DIGITAL SMART INVEST — Зоны OBL / OBH
Интеллектуальный мультитаймфрейм индикатор, отображающий блоки спроса и предложения (OBL/OBH) с расчётом входа, стопа и тейка.
📌 Как работает:
Определяет бычьи зоны спроса (OBL) и медвежьи зоны предложения (OBH) по свечным паттернам.
Работает на трёх ТФ: текущий, 1 час и 1 день.
Зоны обновляются в реальном времени и подстраиваются под цену.
При подтверждении построения — выдаёт сигнал с входом, SL и TP.
🟢 OBL (Order Block Long) — зона спроса, лонг
🔴 OBH (Order Block High/Sell) — зона предложения, шорт
🎯 Используйте для:
Поиска сильных уровней поддержки и сопротивления
Построения сетапов на вход
Торговли от зон или по развороту
🛠️ Гибкие настройки:
Чувствительность блоков
Отображение зон по таймфреймам
Цвета для каждой зоны
Forecasting
BTC Dip DetectorBTC Dip Detector – Intraday Price Drop Signal
This indicator highlights sudden price drops (dips) on Bitcoin or any other asset by measuring the percentage drop between the previous candle's close and the current close.
A red label appears below a candle when the price drops more than a user-defined percentage threshold (default is 1.5%). This tool is especially useful for spotting liquidity grabs, potential reversal zones, or oversold intraday conditions in day trading.
🔧 Features:
Customizable dip threshold (%)
Works on any timeframe
Clear visual signal for fast decision-making
📊 How to Use:
Use in conjunction with support zones, volume, or RSI for high-probability entries.
Ideal for identifying panic drops, retracement entries, or scalping reversal setups.
Test it on BTCUSD, ETH, or high-volatility pairs for best results.
Top Ticker ToolkitTOP TICKER TOOLKIT
This advanced trading indicator combines Rejection Block Analysis and Multi-Timeframe Fair Value Gap (FVG) Detection to provide exceptional precision for identifying optimal entry and exit points in day trading.
REJECTION BLOCK METHODOLOGY
The indicator identifies high-probability reversal zones by analyzing significant wick formations:
• Bearish Rejection Blocks : Created when candles show substantial upper wick rejection (configurable percentage), marking zones where institutional selling pressure overwhelmed buyers
• Bullish Rejection Blocks : Formed during significant lower wick scenarios, indicating strong buying interest that absorbed selling pressure
PRECISION ENTRY BENEFITS
1. Statistical Edge Zones
• Each rejection block includes 25%/75% deviation levels that act as high-probability support/resistance within the block
• The 50% equilibrium line serves as a critical decision point for trend continuation vs. reversal
• These statistical divisions provide multiple entry opportunities with defined risk parameters
2. Multi-Timeframe FVG Confluence
• Simultaneously tracks Fair Value Gaps across three different timeframes (default: 15m, 1H, 4H)
• FVGs represent institutional inefficiencies where price moved too quickly, creating unfilled gaps
• When rejection blocks align with multiple timeframe FVGs, it creates high-conviction setups
BOTTOM/TOP TICK ACCURACY
For Bottom Ticking:
• Bullish rejection blocks with significant lower wicks indicate where smart money accumulated positions
• The 25% deviation level often provides the optimal long entry with minimal drawdown
• FVG support from higher timeframes confirms the buying zone's validity
For Top Ticking:
• Bearish rejection blocks mark distribution zones where institutions offloaded positions
• The 75% deviation level frequently offers precise short entries near session highs
• Multiple timeframe FVG resistance creates confluence for high-probability reversals
RISK MANAGEMENT INTEGRATION
• Configurable mitigation methods : Choose between wick-based or close-based invalidation
• Automatic level management : Old or breached levels are removed, keeping charts clean
• Clear visual hierarchy : Color-coded blocks and customizable transparency for different timeframes
DAY TRADING APPLICATIONS
This toolkit excels in identifying:
• Scalping opportunities at deviation levels within active rejection blocks
• Swing entries when price returns to test unfilled FVGs
• Momentum continuation trades when price respects equilibrium levels
• Reversal confirmation when multiple timeframe FVGs align with fresh rejection blocks
The combination of precise statistical levels within rejection blocks and multi-timeframe FVG analysis provides traders with a systematic approach to timing entries and exits with institutional-level precision, significantly improving win rates and risk-reward ratios in day trading scenarios.
Custom Divergence Indicator (Regular & Hidden)Identifies bullish and hidden bullish divergence as well as bearish and hidden bearish divergence over desired timeframe. And shows how long the divergence has been building.
Durdens Global M2 Liquidity Tracker🧠 Durdens Global M2 Liquidity Tracker | Bitcoin vs Liquidity, Visualized
If you’re not watching global liquidity, you’re not really trading macro.
This indicator tracks FX-adjusted M2 money supply across 20+ countries, aggregated into a single global liquidity signal. It can then be used to overlay against Bitcoin for timing macro shifts with precision.
🔍 Core Features:
🌐 USD-adjusted M2 from the US, China, Eurozone, UK, Japan, and more
📊 Normalization modes: None (raw), Index (Based to 100), Z-Score
⏳ Offset input to shift liquidity data forward — aligns with Bitcoin's delayed reaction (84–107 days common)
🧠 BTC correlation matrix: 30D, 90D, 365D correlation values
🧪 Top 3 M2 delta signals: Tracks 90-day % change for US, China, EU
🧮 Fibonacci SMAs: 13 / 34 / 89 for structural macro context
🟢🔴 Liquidity regime engine: EMA 89 defines "Risk-On" vs "Risk-Off" states
🧩 How It Works:
Each country’s M2 is multiplied by its FX rate (to USD) and summed into a single global M2 line. This ensures comparability across nations. The user can choose to:
Normalize the output (raw, indexed, or z-scored)
Shift the global M2 forward in time (offset), simulating the lag effect liquidity has on Bitcoin
Visualize macro risk conditions using EMA 89 as a liquidity regime filter
Analyze BTC correlation across 3 windows and track key regions’ M2 delta
❓ FAQ:
Why does this matter?
M2 is the monetary fuel behind asset bubbles. When liquidity rises, Bitcoin follows; with a delay. This tracker helps you front-run macro flows before they hit the chart.
Why use Index or Z-Score modes?
Raw values skew long-term visual analysis. Index mode rebases data for comparative trend tracking. Z-Score shows when liquidity is overheated or suppressed (mean reversion).
What does the offset input do?
Liquidity doesn’t hit Bitcoin instantly. Many traders use an 84–107 day forward shift to align M2 changes with BTC price action. The offset helps you visualize this.
Why track top 3 M2 regions?
US, China, and Eurozone are the heavyweights in global liquidity. Tracking their offset-day % change gives immediate insight into capital expansion or contraction.
Can I use this to trade?
Absolutely; but it’s best used as a macro filter. Combine with price structure, funding, or on-chain data to optimize timing and conviction.
⚡ Use Cases:
Spot early pivots in liquidity regimes (Risk-Off to Risk-On)
Quantify macro backdrop for Bitcoin or altcoin cycles
Understand when the Fed or PBOC are tightening or easing
Ditch the hopium. Trade with context.
—
Built by: @DurdensBitcoinLedger
Follow for updates — future upgrades include:
• Regional toggles
• Custom M2 baskets
• Alert conditions
• Continued revisions & updates
Stay liquid, not wrecked.
🎯 QuantSignals AI VWAP Pro🎯 QuantSignals AI VWAP Pro — Trade Like Institutions with AI Precision
📌 Description:
QuantSignals AI VWAP Pro is your edge in the markets — a professional-grade VWAP toolkit enhanced with AI signal generation, dynamic volume analysis, institutional band tracking, and real-time dashboards.
Built for day traders, swing traders, and institutions, this limited free version delivers intelligent entries & exits with AI-enhanced VWAP signals.
🚨 Want more? Full source code, premium indicators, and hedge-fund-grade VWAP tools are available in the QuantSignals Discord community!
🌟 Key Features:
✅ AI-Powered VWAP Signals
→ High-probability BUY/SELL alerts based on smart volume + trend filters.
✅ Dynamic VWAP Bands
→ Adaptive upper/lower bands based on real-time volatility & institutional volume.
✅ Multi-Timeframe VWAP (MTF)
→ View weekly & monthly VWAP levels used by pros (toggleable).
✅ Live QS Dashboard
→ Displays signal strength, VWAP distance %, volume context & price stats.
✅ Smart Alerts System
→ Instantly alerts for VWAP crossovers, band breaks, and institutional moves.
✅ Polished Chart Experience
→ Minimal clutter, modern visuals, premium color scheme, optimized UX.
🔐 Limited Free Version Includes:
AI Signal Engine (basic version)
Institutional Band Levels
Live Dashboard
3 Types of VWAP Alerts
Clean Entry/Exit Plots
💎 Premium Version (in Discord):
Full Source Code
Institutional VWAP Models
Real-Time Volume Sentiment Engine
Multi-Asset VWAP Correlation
Automated Strategy Support
Pro Backtesting Templates
Full QS Indicator Suite
Discord Trade Rooms + Coaching
💬 Who Uses This?
QuantSignals VWAP tools are used by hedge funds, quant traders, and pro retail traders worldwide.
🔗 Join the #1 AI Trading Community:
🌐 Website: quantsignals.xyz
💬 Discord: discord.gg
📢 Setup Instructions:
Add to chart ✅
Toggle on signals, bands, and dashboard 📈
Set alert conditions for key events 🔔
Use with volume + price action context
Want the full suite? Join us in Discord 💎
🚀 Trade Smarter. Trade Faster. Trade with AI.
"Retail uses moving averages. Institutions use VWAP. We use AI + VWAP."
Altcoin Top & Bottom Dashboard [Plazo Sullivan Roche Capital]Altcoin Top & Bottom Dashboard
Comprehensive Manual for Altcoin & Ethereum Use
📊 OVERVIEW
The Crypto Top & Bottom Master Overlay is a professional-grade TradingView indicator tailored for altcoins, Ethereum, and Bitcoin. It helps traders detect macro tops and bottoms by blending technical and on-chain proxy logic into a single visual dashboard.
Timeframe: Optimized for 1D (daily chart)
Pairs: ETHUSDT, SOLUSDT, MATICUSDT, ARBUSDT, and all major altcoins
✨ FEATURE SET
🔹 TOP SIGNALS (Overheating / Distribution Phase)
Pi Cycle Top: EMA 111 crosses above 2x SMA 350
MVRV Z-Score > 7: Price well above average cost basis
Puell Proxy > 4: Suggests miner or validator excess
Stablecoin Outflow: USDT dominance rising (risk-off behavior)
🔹 BOTTOM SIGNALS (Capitulation / Accumulation Phase)
MVRV Z-Score < 0: Deep undervaluation
Puell Proxy < 0.4: Network participants earning below cost
Stablecoin Inflow: USDT dominance falling (risk-on behavior)
🔹 SMART MONEY CONCEPTS
Fair Value Gaps (FVG): Price inefficiencies plotted as shaded boxes
Bullish FVGs (green) = potential demand zones
Bearish FVGs (red) = potential supply zones
Order Blocks (OB):
Bullish OB: green zone under price from engulfing pattern
Bearish OB: red zone above price from bearish reversal pattern
🔹 DYNAMIC SCORING SYSTEM
Top Score: 0 to 4 (based on 4 criteria)
Bottom Score: 0 to 3 (based on 3 criteria)
Confidence % dynamically calculated and shown in top-right label
🔹 SIGNAL TABLE PANEL (Toggleable)
Located top-right
Displays "Yes/No" status for each indicator
Color-coded for quick decision-making
🔹 ALERT CONDITIONS
Top Risk: 3+ top indicators align
Bottom Opportunity: 3+ bottom indicators align
🔧 BEST USAGE PRACTICES
✅ For Spot Accumulation:
Wait for Bottom Score ≥ 2 with green background
Confirm Stablecoin inflow and MVRV < 0
Look for bullish FVG or OB for entry
✅ For Swing Shorts:
Watch for Top Score ≥ 3 and red confidence label
Combine with bearish OB above price and USDT outflow
Ideal for fading unsustainable rallies in altcoins
✅ For Trend Reversals:
Top-to-bottom flips often mark macro cycle turns
Use with macro trendlines and Fibonacci levels
🚀 PRO TIPS
Pair with BTC Dominance and ETH/BTC ratio for confluence
Combine with CVD, OBV, or Whale Alerts for deeper context
Use alert system to automate execution into bots or Discord
🚫 TROUBLESHOOTING
Problem: "Invalid Symbol: TOTALUSDT"Fix: Replaced with CRYPTOCAP:USDT.D for USDT dominance
Problem: Script lags on mobileFix: Turn off FVG or OB drawing in inputs
✨ SUMMARY
This overlay is your complete institutional-grade edge for catching macro reversal zones in crypto. With visual clarity, confidence scoring, and SMC integration, it’s designed to keep you on the right side of risk.
Trade smarter. Enter with confidence. Exit with clarity.
BTC Top & Bottom Dashboard [Plazo Sullivan Roche Capital]Bitcoin Top & Bottom Master Overlay Indicator Manual
Overview
The BTC Top & Bottom Master Overlay is an all-in-one TradingView indicator designed for professional traders seeking high-probability macro turning points on Bitcoin. It combines multiple proven on-chain proxies, smart money concepts, and funding/stablecoin flow data into one cohesive visual dashboard.
It is optimized for:
Daily timeframe (1D)
Binance:BTCUSDT chart (can adapt to others)
Swing and macro-level analysis
Features at a Glance
Macro Top Indicators
Pi Cycle Top: Cross of EMA111 over 2x SMA350
MVRV Z-Score Proxy: Z-score > 7 suggests overheating
Puell Multiple Proxy: Price/365-day MA > 4 signals miner overprofit
Funding Rate Spike: Funding > 0.006 suggests long bias extremes
Stablecoin Outflow: Proxy from USDT Dominance rising (risk-off sentiment)
Macro Bottom Indicators
MVRV Z-Score < 0: Capitulation signal
Puell < 0.4: Miner surrender
Funding < -0.006: Excessive shorting = squeeze risk
Stablecoin Inflow: USDT.D falling = crypto accumulation
Smart Money Concepts
Fair Value Gaps (FVG):
Bullish: Green zone when low > high
Bearish: Red zone when high < low
Order Blocks:
Bullish OB: Bullish engulfing candle
Bearish OB: Bearish engulfing candle
Visual Aids & Dashboard
Background shading:
Red when 2+ top signals flash
Green when 2+ bottom signals flash
Floating Score Label:
Top-right label: "Top Risk" / "Accumulation" / "Neutral"
Live score count out of 5
Signal Table Panel:
Bottom-right emoji panel showing:
Pi Cycle: 🔴 or ✅
MVRV: ⬆️ / ⬇️ / Neutral
Puell: ⬆️ / ⬇️ / Neutral
Funding: 😡 / 🟢 / Neutral
USDT Flow: 🚪 Out / 🚪 In / Neutral
How to Use
1. Chart Setup
Use 1D timeframe for macro trends.
Apply on Binance:BTCUSDT for full compatibility.
Toggle inputs like FVG, OB, or Table Panel to customize view.
2. Entry & Exit Scenarios
Top Risk Setup:
Background turns red
Top Score ≥ 3/5
Signal panel shows: Pi Cycle = ON, MVRV = HOT, Funding = HOT
FVG or OB above current price = ideal exit zone
Bottom Opportunity Setup:
Background turns green
Bottom Score ≥ 3/5
Signal panel shows: Puell = LOW, MVRV = LOW, Stablecoins = Inflow
Bullish FVG or OB nearby = ideal accumulation zone
3. Alerts
Create alerts for:
BTC TOP Signal: 3+ Indicators aligned!
BTC BOTTOM Signal: 3+ Indicators aligned!
Pro Tips
Use in conjunction with volume profile and macro trendlines
Confirm tops with altcoin euphoria (e.g. dominance drop)
Confirm bottoms with volume spikes and stablecoin inflows
Backtest logic using replay + score panel
Use OB/FVG zones for high-RR trades
⚡ Troubleshooting
Error: Invalid Symbol CRYPTOCAP:TOTALUSDT
✉ Fix: Replace with CRYPTOCAP:USDT.D (USDT dominance proxy)
Lag on older devices
✉ Tip: Turn off FVG or OB drawing for performance
📅 Future Upgrades (Planned)
Multi-asset compatibility (ETH, SOL, etc.)
Cross-timeframe alerts
AI-generated trade callouts
Strategy tester version for backtesting
✅ Summary
This indicator acts as your macro market compass. It brings together advanced institutional-style analysis and visual storytelling into a seamless TradingView overlay. Whether you're swing trading or analyzing macro cycles, this tool gives you the edge.
🚀 Trade smarter. Enter with confidence. Exit with clarity.
Ask ChatGPT
52SIGNAL RECIPE Smart Money Detector : CME + Exchanges=================52SIGNAL RECIPE CME-Exchange Smart Money Detector=================
◆ Overview
The 52SIGNAL RECIPE CME-Exchange Smart Money Detector is an advanced technical indicator designed to identify institutional and smart money movements by analyzing and comparing futures markets across both CME and cryptocurrency exchanges. This powerful tool detects coordinated buying and selling patterns that often precede significant price movements, giving traders an edge in anticipating market direction.
What makes this indicator unique is its cross-market verification approach. By requiring confirmation from both CME Bitcoin futures (dominated by institutional players) and crypto exchange futures (with broader market participation), it significantly reduces false signals and identifies high-probability smart money footprints that typically lead market movements.
─────────────────────────────────────
◆ Key Features
• Dual Market Confirmation: Simultaneously analyzes both CME Bitcoin futures and exchange futures charts to identify synchronized smart money activity
• Smart Volume Analysis: Uses advanced algorithms to separate buying and selling volume based on candle structure and price action
• Energy Wave Visualization: Displays smart money signals as intuitive energy waves with varying sizes reflecting signal strength
• Strength Rating System: Quantifies signal strength on a 0-100% scale, with multiple visualization levels (10%+, 40%+, 60%+, 80%+)
• Candlestick Pattern Integration: Incorporates bullish/bearish candle formations to enhance signal reliability
• Volume Spike Detection: Identifies abnormal volume increases that often accompany smart money positioning
• Trend Context Analysis: Evaluates signals in relation to current market trend for higher probability setups
• Dynamic Strength Calculation: Uses a multi-factor model considering volume ratio, buying/selling imbalance, candle structure, and trend alignment
• Transparent Signal Labeling: Displays precise strength percentage values with each signal for clear decision-making
• Real-time Institutional Flow Monitor: Tracks the footprints of large players across both regulated (CME) and crypto exchange markets
─────────────────────────────────────
◆ Understanding Signal Types
■ Buy Signal Energy Waves (Green)
• Definition: Detected when significant buying pressure appears simultaneously on both CME and exchange futures, typically on bearish candles
• Visual Appearance: Green circular waves below price bars, with size/opacity increasing with signal strength
• Market Interpretation: Indicates institutional buying interest even as price is declining, often preceding bullish reversals
• Signal Strength Factors:
▶ Higher buying volume relative to selling volume
▶ Above-average total volume
▶ Lower wicks on bearish candles
▶ Appearance at key support levels
▶ Coinciding with oversold conditions
■ Sell Signal Energy Waves (Red)
• Definition: Detected when significant selling pressure appears simultaneously on both CME and exchange futures, typically on bullish candles
• Visual Appearance: Red circular waves above price bars, with size/opacity increasing with signal strength
• Market Interpretation: Indicates institutional selling interest even as price is rising, often preceding bearish reversals
• Signal Strength Factors:
▶ Higher selling volume relative to buying volume
▶ Above-average total volume
▶ Upper wicks on bullish candles
▶ Appearance at key resistance levels
▶ Coinciding with overbought conditions
─────────────────────────────────────
◆ Signal Strength Understanding
■ The Four Strength Levels
• Level 1 (10-39%): Initial Detection
▶ Visual: Smallest energy wave
▶ Meaning: Early smart money positioning detected
▶ Usage: Early warning, prepare for possible setup
• Level 2 (40-59%): Moderate Strength
▶ Visual: Medium-small energy wave
▶ Meaning: Clearer institutional positioning
▶ Usage: Begin position planning, watch for confirmation
• Level 3 (60-79%): Strong Signal
▶ Visual: Medium-large energy wave
▶ Meaning: Significant smart money footprint
▶ Usage: High-probability setup forming, consider entry
• Level 4 (80-100%): Exceptional Strength
▶ Visual: Largest energy wave
▶ Meaning: Powerful institutional movement confirmed
▶ Usage: Highest probability setup, strong conviction entry point
■ Understanding Signal Strength Calculation
• Volume Component (0-50 points):
▶ Measures how current volume compares to recent average
▶ Maximum points when volume is 2x or higher than average
• Buy/Sell Ratio Component (0-50 points):
▶ Measures imbalance between buying and selling pressure
▶ Maximum points when ratio exceeds predefined multiplier threshold
• Advanced Weighting Factors:
▶ Candle Structure: Body size, wick length, and orientation
▶ Trend Alignment: Signal relationship to current trend
▶ Volume Spike: Abnormal volume increase detection
▶ Cross-Market Confirmation: Strength of signal alignment between CME and exchange
─────────────────────────────────────
◆ Practical Trading Applications
■ Reversal Trading Strategy
• Buy Signal Application:
▶ Setup: Strong buy energy wave (60%+) on a bearish candle
▶ Entry: After confirmation candle following the signal
▶ Stop Loss: Below recent low or 1 ATR below entry
▶ Take Profit: Previous resistance or 1:2 risk-reward minimum
▶ Enhancers: Signal occurring at support zone, oversold conditions, or trend line tests
• Sell Signal Application:
▶ Setup: Strong sell energy wave (60%+) on a bullish candle
▶ Entry: After confirmation candle following the signal
▶ Stop Loss: Above recent high or 1 ATR above entry
▶ Take Profit: Previous support or 1:2 risk-reward minimum
▶ Enhancers: Signal occurring at resistance zone, overbought conditions, or trend line tests
■ Trend Continuation Strategy
• During Uptrends:
▶ Focus on buy signals that appear during pullbacks
▶ Higher probability when signals occur at key moving averages or support levels
▶ Enter on strength when price shows signs of resuming the uptrend
• During Downtrends:
▶ Focus on sell signals that appear during relief rallies
▶ Higher probability when signals occur at key moving averages or resistance levels
▶ Enter on strength when price shows signs of resuming the downtrend
■ Multiple Timeframe Approach
• Signal Confirmation Across Timeframes:
▶ Major signals on higher timeframes (4H, daily) provide strategic direction
▶ Signals on lower timeframes (15m, 1H) offer tactical entry points
▶ Highest probability setups occur when signals align across multiple timeframes
• Signal Clustering:
▶ Multiple signals in the same price area significantly increase probability
▶ Look for areas where both buy and sell signals have appeared, indicating battleground zones
▶ The most recent signal direction often wins these battles
─────────────────────────────────────
◆ Technical Foundation
■ Why Cross-Market Confirmation Matters
• Institutional Participation:
▶ CME Bitcoin futures are dominated by regulated institutional investors
▶ Crypto exchange futures include both retail and institutional players
▶ When both markets show the same smart money pattern, the signal reliability increases dramatically
• Market Inefficiency Exploitation:
▶ Large players often position across multiple venues to minimize market impact
▶ This coordinated activity creates detectable footprints when analyzed correctly
▶ Cross-market confirmation helps filter out market noise and isolate true smart money movements
■ Smart Volume Calculation Methodology
• Price-Volume Relationship Analysis:
▶ Uses candle structure to estimate buying vs. selling volume
▶ Buying volume = Total volume × (Close - Low) / (High - Low)
▶ Selling volume = Total volume × (High - Close) / (High - Low)
• Signal Triggering Logic:
▶ Buy signal: When buying volume exceeds selling volume by multiplier factor
▶ Sell signal: When selling volume exceeds buying volume by multiplier factor
▶ Both conditions must be met simultaneously on CME and exchange futures
• Advanced Pattern Recognition:
▶ Evaluates candle body-to-range ratio for signal quality
▶ Analyzes wick length and position for additional confirmation
▶ Considers recent highs/lows to detect potential turning points
─────────────────────────────────────
◆ Indicator Settings Guide
■ Main Settings
• CME Bitcoin Futures Symbol:
▶ Default: CME:BTC1!
▶ Purpose: Sets the CME futures contract to analyze alongside current chart
• Buy/Sell Volume Multiplier:
▶ Default: 3.0
▶ Range: 1.0-10.0
▶ Purpose: Determines how much buying volume must exceed selling volume (or vice versa) to trigger a signal
▶ Higher values = fewer but stronger signals
▶ Lower values = more signals but potentially lower reliability
■ Volume Filter Settings
• Enable Volume Filter:
▶ Default: Enabled
▶ Purpose: When enabled, only considers candles with above-threshold volume
• Volume Average Period:
▶ Default: 20 candles
▶ Range: 5-200 candles
▶ Purpose: Sets the lookback period for calculating average volume
• Volume Threshold:
▶ Default: 150%
▶ Range: 10%-500%
▶ Purpose: Minimum volume percentage (of average) required for signal consideration
▶ Higher values focus on only the most significant volume spikes
■ Signal Visualization
• Show Signal Strength Value:
▶ Default: Enabled
▶ Purpose: Displays the exact percentage strength value with each signal
• Energy Wave Colors:
▶ Buy Energy Wave: Green (#00ff80)
▶ Sell Energy Wave: Red (#ff4040)
▶ Purpose: Customize the appearance of energy waves for visual preference
■ Advanced Settings
• Use Advanced Strength Calculation:
▶ Default: Enabled
▶ Purpose: When enabled, uses the full multi-factor model for signal strength
▶ When disabled, uses only basic volume and ratio factors
─────────────────────────────────────
◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Smart money signals occurring at key support/resistance significantly increase reliability
▶ Particularly powerful when signals appear at tested price levels
• Moving Averages:
▶ Signals near key moving averages (50MA, 200MA) often indicate institutional interest
▶ Moving average crosses combined with smart money signals create high-probability setups
• RSI/Momentum Indicators:
▶ Buy signals in oversold conditions increase probability of successful reversal
▶ Sell signals in overbought conditions increase probability of successful reversal
• Volume Profile:
▶ Signals occurring at high volume nodes often indicate significant turning points
▶ Low volume nodes between high volume areas can act as acceleration zones after signal triggers
• Market Structure:
▶ Smart money signals that break key market structure levels (higher highs/lows or lower highs/lows) are particularly significant
▶ Can signal the early stages of trend changes when aligned with structure breaks
─────────────────────────────────────
◆ Conclusion
The 52SIGNAL RECIPE CME-Exchange Smart Money Detector provides traders with a powerful edge by revealing institutional positioning across both regulated futures and crypto exchange markets. By requiring synchronized signals from both venues, it cuts through market noise to identify the most reliable smart money footprints.
What sets this indicator apart is its sophisticated cross-market verification system. Rather than relying on signals from a single market, it only triggers when both CME and exchange futures display the same smart money pattern simultaneously. This approach dramatically reduces false signals and highlights truly significant institutional activity.
The intuitive energy wave visualization system makes it easy to spot signals of varying strength, while the transparent percentage rating allows for objective assessment of each opportunity. By focusing on these dual-confirmed smart money movements, traders can position themselves alongside institutional players rather than against them.
Remember that the most powerful signals typically appear at key market junctures, often before significant price movements. By incorporating this indicator into your trading approach, you gain insight into institutional positioning that can help anticipate market direction with greater confidence.
─────────────────────────────────────
※ Disclaimer: Like all trading tools, the CME-Exchange Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
================52SIGNAL RECIPE CME-Exchange Smart Money Detector==================
◆ 개요
52SIGNAL RECIPE CME-Exchange Smart Money Detector는 CME와 암호화폐 거래소의 선물 시장을 동시에 분석하여 기관 및 스마트 머니의 움직임을 포착하는 고급 기술적 지표입니다. 이 강력한 도구는 주요 가격 움직임에 선행하는 조직적인 매수 및 매도 패턴을 감지하여 트레이더들에게 시장 방향 예측에 유리한 정보를 제공합니다.
이 지표의 독보적인 특징은 교차 시장 검증 접근법에 있습니다. CME 비트코인 선물(기관 투자자 중심)과 암호화폐 거래소 선물(광범위한 시장 참여자) 모두에서 확인을 요구함으로써, 허위 신호를 크게 줄이고 일반적으로 시장 움직임을 선도하는 고확률 스마트 머니 흔적을 식별합니다.
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◆ 주요 특징
• 듀얼 마켓 확인: CME 비트코인 선물과 거래소 선물 차트를 동시에 분석하여 동기화된 스마트 머니 활동 식별
• 스마트 볼륨 분석: 캔들 구조와 가격 행동을 기반으로 매수 및 매도 볼륨을 분리하는 고급 알고리즘 사용
• 에너지 파동 시각화: 스마트 머니 신호를 신호 강도를 반영하는 다양한 크기의 직관적인 에너지 파동으로 표시
• 강도 평가 시스템: 신호 강도를 0-100% 척도로 수치화하고 여러 시각화 레벨(10%+, 40%+, 60%+, 80%+) 제공
• 캔들스틱 패턴 통합: 신호 신뢰성을 높이기 위해 상승/하락 캔들 형성을 분석에 통합
• 볼륨 스파이크 감지: 스마트 머니 포지셔닝을 동반하는 비정상적인 볼륨 증가 식별
• 추세 맥락 분석: 현재 시장 추세와 관련하여 신호를 평가하여 높은 확률의 설정 제공
• 동적 강도 계산: 볼륨 비율, 매수/매도 불균형, 캔들 구조 및 추세 일치도를 고려하는 다중 요소 모델 사용
• 투명한 신호 라벨링: 명확한 의사 결정을 위해 각 신호와 함께 정확한 강도 백분율 값 표시
• 실시간 기관 자금 흐름 모니터: 규제된(CME) 시장과 암호화폐 거래소 시장 모두에서 대형 플레이어의 흔적 추적
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◆ 신호 유형 이해하기
■ 매수 신호 에너지 파동 (녹색)
• 정의: 일반적으로 하락 캔들에서 CME와 거래소 선물 모두에서 동시에 상당한 매수 압력이 감지될 때 발생
• 시각적 모습: 가격 바 아래에 녹색 원형 파동으로 표시되며, 신호 강도에 따라 크기/불투명도 증가
• 시장 해석: 가격이 하락하는 동안에도 기관의 매수 관심이 있음을 나타내며, 종종 상승 반전에 선행
• 신호 강도 요소:
▶ 매도 볼륨 대비 높은 매수 볼륨
▶ 평균 이상의 총 거래량
▶ 하락 캔들의 아래 꼬리
▶ 주요 지지 수준에서의 출현
▶ 과매도 조건과 일치
■ 매도 신호 에너지 파동 (적색)
• 정의: 일반적으로 상승 캔들에서 CME와 거래소 선물 모두에서 동시에 상당한 매도 압력이 감지될 때 발생
• 시각적 모습: 가격 바 위에 적색 원형 파동으로 표시되며, 신호 강도에 따라 크기/불투명도 증가
• 시장 해석: 가격이 상승하는 동안에도 기관의 매도 관심이 있음을 나타내며, 종종 하락 반전에 선행
• 신호 강도 요소:
▶ 매수 볼륨 대비 높은 매도 볼륨
▶ 평균 이상의 총 거래량
▶ 상승 캔들의 위 꼬리
▶ 주요 저항 수준에서의 출현
▶ 과매수 조건과 일치
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◆ 신호 강도 이해하기
■ 네 가지 강도 레벨
• 레벨 1 (10-39%): 초기 감지
▶ 시각적: 가장 작은 에너지 파동
▶ 의미: 초기 스마트 머니 포지셔닝 감지
▶ 활용: 초기 경고, 가능한 설정 준비
• 레벨 2 (40-59%): 중간 강도
▶ 시각적: 중간-작은 에너지 파동
▶ 의미: 더 명확한 기관 포지셔닝
▶ 활용: 포지션 계획 시작, 확인 대기
• 레벨 3 (60-79%): 강한 신호
▶ 시각적: 중간-큰 에너지 파동
▶ 의미: 중요한 스마트 머니 흔적
▶ 활용: 고확률 설정 형성, 진입 고려
• 레벨 4 (80-100%): 예외적 강도
▶ 시각적: 가장 큰 에너지 파동
▶ 의미: 강력한 기관 움직임 확인
▶ 활용: 최고 확률 설정, 강한 확신의 진입 지점
■ 신호 강도 계산 이해하기
• 볼륨 구성 요소 (0-50 포인트):
▶ 현재 볼륨이 최근 평균과 비교하여 얼마나 높은지 측정
▶ 볼륨이 평균보다 2배 이상 높을 때 최대 포인트 부여
• 매수/매도 비율 구성 요소 (0-50 포인트):
▶ 매수와 매도 압력 간의 불균형 측정
▶ 비율이 미리 정의된 배율 임계값을 초과할 때 최대 포인트 부여
• 고급 가중치 요소:
▶ 캔들 구조: 몸통 크기, 꼬리 길이 및 방향
▶ 추세 일치: 현재 추세와의 신호 관계
▶ 볼륨 스파이크: 비정상적인 볼륨 증가 감지
▶ 교차 시장 확인: CME와 거래소 간 신호 일치 강도
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◆ 실전 트레이딩 응용
■ 반전 트레이딩 전략
• 매수 신호 응용:
▶ 설정: 하락 캔들에서 강한 매수 에너지 파동(60%+)
▶ 진입: 신호 이후 확인 캔들 이후
▶ 손절: 최근 저점 아래 또는 진입점 아래 1 ATR
▶ 이익실현: 이전 저항 또는 최소 1:2 리스크-리워드
▶ 강화 요소: 지지 구역, 과매도 조건 또는 추세선 테스트에서 발생하는 신호
• 매도 신호 응용:
▶ 설정: 상승 캔들에서 강한 매도 에너지 파동(60%+)
▶ 진입: 신호 이후 확인 캔들 이후
▶ 손절: 최근 고점 위 또는 진입점 위 1 ATR
▶ 이익실현: 이전 지지 또는 최소 1:2 리스크-리워드
▶ 강화 요소: 저항 구역, 과매수 조건 또는 추세선 테스트에서 발생하는 신호
■ 추세 지속 전략
• 상승 추세 중:
▶ 조정 중에 나타나는 매수 신호에 집중
▶ 주요 이동평균선이나 지지 수준에서 신호가 발생할 때 확률이 높음
▶ 가격이 상승 추세를 재개할 징후를 보일 때 강도에 맞춰 진입
• 하락 추세 중:
▶ 일시적 반등 중에 나타나는 매도 신호에 집중
▶ 주요 이동평균선이나 저항 수준에서 신호가 발생할 때 확률이 높음
▶ 가격이 하락 추세를 재개할 징후를 보일 때 강도에 맞춰 진입
■ 다중 시간프레임 접근법
• 다양한 시간프레임에서의 신호 확인:
▶ 상위 시간프레임(4시간, 일봉)의 주요 신호는 전략적 방향 제공
▶ 하위 시간프레임(15분, 1시간)의 신호는 전술적 진입 지점 제공
▶ 여러 시간프레임에서 신호가 일치할 때 가장 높은 확률의 설정 발생
• 신호 클러스터링:
▶ 동일한 가격 영역에서 여러 신호가 발생하면 확률이 크게 증가
▶ 매수와 매도 신호가 모두 나타난 영역을 찾아 전투 구역 식별
▶ 이러한 전투에서는 대개 가장 최근의 신호 방향이 우세
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◆ 기술적 기반
■ 교차 시장 확인이 중요한 이유
• 기관 참여:
▶ CME 비트코인 선물은 규제된 기관 투자자가 주도
▶ 암호화폐 거래소 선물은 소매 및 기관 플레이어 모두 포함
▶ 두 시장이 동일한 스마트 머니 패턴을 보일 때 신호 신뢰성이 크게 증가
• 시장 비효율성 활용:
▶ 대형 플레이어들은 시장 영향을 최소화하기 위해 여러 거래소에 걸쳐 포지션을 취하는 경우가 많음
▶ 이러한 조직적인 활동은 올바르게 분석할 때 감지 가능한 흔적을 남김
▶ 교차 시장 확인은 시장 노이즈를 필터링하고 진정한 스마트 머니 움직임을 분리하는 데 도움
■ 스마트 볼륨 계산 방법론
• 가격-볼륨 관계 분석:
▶ 캔들 구조를 사용하여 매수 대 매도 볼륨 추정
▶ 매수 볼륨 = 총 볼륨 × (종가 - 저가) / (고가 - 저가)
▶ 매도 볼륨 = 총 볼륨 × (고가 - 종가) / (고가 - 저가)
• 신호 트리거 로직:
▶ 매수 신호: 매수 볼륨이 매도 볼륨을 배율 요소만큼 초과할 때
▶ 매도 신호: 매도 볼륨이 매수 볼륨을 배율 요소만큼 초과할 때
▶ 두 조건 모두 CME와 거래소 선물에서 동시에 충족되어야 함
• 고급 패턴 인식:
▶ 신호 품질을 위한 캔들 몸통-범위 비율 평가
▶ 추가 확인을 위한 꼬리 길이 및 위치 분석
▶ 잠재적 전환점을 감지하기 위해 최근 고점/저점 고려
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◆ 지표 설정 가이드
■ 주요 설정
• CME 비트코인 선물 심볼:
▶ 기본값: CME:BTC1!
▶ 목적: 현재 차트와 함께 분석할 CME 선물 계약 설정
• 매수/매도 볼륨 배율:
▶ 기본값: 3.0
▶ 범위: 1.0-10.0
▶ 목적: 신호를 트리거하기 위해 매수 볼륨이 매도 볼륨을 얼마나 초과해야 하는지(또는 그 반대) 결정
▶ 높은 값 = 적지만 더 강한 신호
▶ 낮은 값 = 더 많은 신호지만 잠재적으로 낮은 신뢰성
■ 볼륨 필터 설정
• 볼륨 필터 활성화:
▶ 기본값: 활성화됨
▶ 목적: 활성화되면 임계값 이상의 볼륨을 가진 캔들만 고려
• 볼륨 평균 기간:
▶ 기본값: 20 캔들
▶ 범위: 5-200 캔들
▶ 목적: 평균 볼륨 계산을 위한 룩백 기간 설정
• 볼륨 임계값:
▶ 기본값: 150%
▶ 범위: 10%-500%
▶ 목적: 신호 고려에 필요한 최소 볼륨 백분율(평균 대비)
▶ 높은 값은 가장 중요한 볼륨 스파이크에만 집중
■ 신호 시각화
• 신호 강도 값 표시:
▶ 기본값: 활성화됨
▶ 목적: 각 신호와 함께 정확한 백분율 강도 값 표시
• 에너지 파동 색상:
▶ 매수 에너지 파동: 녹색(#00ff80)
▶ 매도 에너지 파동: 적색(#ff4040)
▶ 목적: 시각적 선호도에 맞게 에너지 파동의 모양 사용자 정의
■ 고급 설정
• 고급 강도 계산 사용:
▶ 기본값: 활성화됨
▶ 목적: 활성화되면 신호 강도에 전체 다중 요소 모델 사용
▶ 비활성화되면 기본 볼륨 및 비율 요소만 사용
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◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항에서 발생하는 스마트 머니 신호는 신뢰성을 크게 높임
▶ 특히 테스트된 가격 레벨에서 신호가 나타날 때 강력함
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처의 신호는 종종 기관의 관심을 나타냄
▶ 이동평균선 교차와 스마트 머니 신호의 조합은 고확률 설정 생성
• RSI/모멘텀 지표:
▶ 과매도 조건에서의 매수 신호는 성공적인 반전 확률 증가
▶ 과매수 조건에서의 매도 신호는 성공적인 반전 확률 증가
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 신호는 종종 중요한 전환점을 나타냄
▶ 높은 볼륨 영역 사이의 낮은 볼륨 노드는 신호 트리거 후 가속 구간으로 작용할 수 있음
• 시장 구조:
▶ 주요 시장 구조 레벨(높은 고점/저점 또는 낮은 고점/저점)을 깨는 스마트 머니 신호는 특히 중요
▶ 구조 깨짐과 일치할 때 추세 변화의 초기 단계를 알릴 수 있음
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◆ 결론
52SIGNAL RECIPE CME-Exchange Smart Money Detector는 규제된 선물 시장과 암호화폐 거래소 시장 모두에서 기관의 포지셔닝을 드러냄으로써 트레이더에게 강력한 우위를 제공합니다. 두 거래소에서 동기화된 신호를 요구함으로써, 시장 노이즈를 제거하고 가장 신뢰할 수 있는 스마트 머니 흔적을 식별합니다.
이 지표를 차별화하는 것은 정교한 교차 시장 검증 시스템입니다. 단일 시장의 신호에 의존하는 대신, CME와 거래소 선물 모두가 동시에 동일한 스마트 머니 패턴을 표시할 때만 트리거됩니다. 이 접근 방식은 허위 신호를 크게 줄이고 진정으로 중요한 기관 활동을 강조합니다.
직관적인 에너지 파동 시각화 시스템을 통해 다양한 강도의 신호를 쉽게 발견할 수 있으며, 투명한 백분율 평가를 통해 각 기회를 객관적으로 평가할 수 있습니다. 이러한 이중 확인된 스마트 머니 움직임에 집중함으로써, 트레이더는 기관 참가자들에 대항하기보다는 그들과 함께 포지션을 취할 수 있습니다.
가장 강력한 신호는 일반적으로 주요 시장 변곡점에서, 종종 중요한 가격 움직임 이전에 나타난다는 점을 기억하세요. 이 지표를 트레이딩 접근법에 통합함으로써, 시장 방향을 더 높은 확신으로 예측하는 데 도움이 되는 기관 포지셔닝에 대한 통찰력을 얻을 수 있습니다.
─────────────────────────────────────
※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME-Exchange Smart Money Detector는 보조 지표로 사용되어야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 사용하세요.
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Advanced Correlation Monitor📊 Advanced Correlation Monitor - Pine Script v6
🎯 What does this indicator do?
Monitors real-time correlations between 13 different asset pairs and alerts you when historically strong correlations break, indicating potential trading opportunities or changes in market dynamics.
🚀 Key Features
✨ Multi-Market Monitoring
7 Forex Pairs (GBPUSD/DXY, EURUSD/GBPUSD, etc.)
6 Index/Stock Pairs (SPY/S&P500, DAX/NASDAQ, TSLA/NVDA, etc.)
Fully configurable - change any pair from inputs
📈 Dual Correlation Analysis
Long Period (90 bars): Identifies historically strong correlations
Short Period (6 bars): Detects recent breakdowns
Pearson Correlation using Pine Script v6 native functions
🎨 Intuitive Visualization
Real-time table with 6 information columns
Color coding: Green (correlated), Red (broken), Gray (normal)
Visual states: 🟢 OK, 🔴 BROKEN, ⚫ NORMAL
🚨 Smart Alert System
Only alerts previously correlated pairs (>80% historical)
Detects breakdowns when short correlation <80%
Consolidated alert with all affected pairs
🛠️ Flexible Configuration
Adjustable Parameters:
📅 Periods: Long (30-500), Short (2-50)
🎯 Threshold: 50%-99% (default 80%)
🎨 Table: Configurable position and size
📊 Symbols: All pairs are configurable
Default Pairs:
FOREX: INDICES/STOCKS:
- GBPUSD vs DXY • SPY vs S&P500
- EURUSD vs GBPUSD • DAX vs S&P500
- EURUSD vs DXY • DAX vs NASDAQ
- USDCHF vs DXY • TSLA vs NVDA
- GBPUSD vs USDCHF • MSFT vs NVDA
- EURUSD vs USDCHF • AAPL vs NVDA
- EURUSD vs EURCAD
💡 Practical Use Cases
🔄 Pairs Trading
Detects when strong correlations break for:
Statistical arbitrage
Mean reversion trading
Divergence opportunities
🛡️ Risk Management
Identifies when "safe" assets start moving independently:
Portfolio diversification
Smart hedging
Regime change detection
📊 Market Analysis
Understand underlying market structure:
Forex/DXY correlations
Tech sector rotation
Regional market disconnection
🎓 Results Interpretation
Reading Example:
EURUSD vs DXY: -98.57% → -98.27% | 🟢 OK
└─ Perfect negative correlation maintained (EUR rises when DXY falls)
TSLA vs NVDA: 78.12% → 0% | ⚫ NORMAL
└─ Lost tech correlation (divergence opportunity)
Trading Signals:
🟢 → 🔴: Broken correlation = Possible opportunity
Large difference: Indicates correlation tension
Multiple breaks: Market regime change
Real-Time FTFC Dashboard (Styled)Full Time Frame Continuity. Real time change with the data presented. Can be used on all stocks to analyze if the stocks timeframe finished green or red.
Auto Fib Extension with alert (golden rentry zone)Ideal for:
Traders who want an objective, auto-updating Fibonacci framework to identify potential continuation, or reaction zones after significant highs. The “Golden zone” highlights an area of particular interest for bounces, reactions, or consolidations. Once, price renters the Golden zone, 40% of the time, it will lead to 1.68 and 2.68 levels, making 80 to 200% once all time high is broken!!
This script automatically detects major swing points (all-time high and following swing low) using the last 1 year or 6 months of data, then draws Fibonacci retracement and extension levels from the all-time high (ATH) down to the lowest low after that high.
What it does:
Detects All-Time High (ATH) within your chosen lookback window (default: 1 year, falls back to 6 months if insufficient bars).
Finds the lowest low after ATH within the lookback period (ensures swing low always comes after swing high).
Plots Fibonacci retracement levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1) from ATH to the swing low.
Issues an alert if price enters the Golden zone (between 0.236 and 0.382).
London Breakout PRO – By Maa Sharda Trading📈 London Breakout PRO (MAA SHARDA TRADING) – Indicator Description for TradingView
Introducing: London Breakout PRO – The Advanced Breakout Tool for Gold & Forex!
Unlock the real power of London session trading with this next-generation indicator.
Specially designed for serious traders, this tool combines classic London Breakout logic with EMA Trend Confirmation and an optional Volume Filter to eliminate fake breakouts and boost your accuracy.
How It Works:
Session Box: Automatically marks the first session candle (default: 1H for London Open).
Breakout Signal: Gives only one clean BUY/SELL signal each day – only when the candle breaks out above/below the session box.
Trend Filter: Signals fire only when price is above (BUY) or below (SELL) the EMA 20, ensuring you always trade with the trend.
Volume Confirmation: (Optional) Signals only if breakout happens with volume higher than the last 10 candles’ average, so you avoid low-liquidity fakeouts.
Ultra-Clean Chart: No repainting, no clutter, just pure breakout action.
Key Features:
✅ Works on any timeframe (M15, M30, H1 best for Gold/XAUUSD & FX)
✅ Fully customizable session start time and box duration
✅ One breakout signal per day – no overtrading, no noise
✅ Trend & volume filters for high-probability setups
✅ Easy visual backtesting – perfect for serious traders and strategy builders
Recommended Settings for GOLD (XAUUSD):
Timeframe: 1 Hour (H1) – best accuracy & lowest noise
Session Start (IST): 11:30 AM (London Open)
Box Length: 1 Candle (1 Hour)
EMA Length: 20
Volume Filter: On (for strong confirmations)
How To Use:
Wait for London session box to form at your set time.
Trade only when price closes above (BUY) or below (SELL) the box and EMA 20 & volume filters are satisfied.
Place SL at the opposite side of the box. Target 1:1 or let profits run with trailing stop.
Avoid trading during high-impact news events for even better results.
Pro Tip:
Backtest on H1 and combine with major support/resistance for the highest win-rate. Use with proper risk management for best results!
Disclaimer:
Trading involves risk. This indicator is for educational purposes only. Test thoroughly before live trading.
#LondonBreakout #XAUUSD #BreakoutStrategy #EMAConfirmation #VolumeFilter #TradingView #ForexIndicator #IntradayTrading
PnL_EMA_TRACK12_PRO_3.3_full_adjusted# Multi-Ticker Support
Manage up to 12 tickers simultaneously.
- For each symbol, input share quantities, entry prices, and two optional additional entry points (E2, E3) with their own shares and offset percentages.
- Dynamic handling of inputs using arrays for easier maintenance and scalability.
# Average Cost and PnL Calculation
- Computes weighted average entry costs across all position parts (E1 and optionally E2 and E3).
- Calculates real-time Profit & Loss (PnL) both in USD and percentage relative to the current price.
- Color-coded values: green for profit, red for loss — for quick visual feedback.
# Moving Averages as Benchmarks
- Uses daily EMAs (10, 21, 65) and 15-minute SMA 200 as reference levels.
- Calculates percentage deviations of these moving averages from the average entry price.
- Calculates dollar differences based on the total shares held.
# Chart Visualization
- Draws a dashed yellow line for the average cost of each position.
- Optionally draws two additional lines and labels for E2 (blue) and E3 (purple) if activated.
- Lines extend to the right to emphasize current relevance.
- Labels can be positioned left or right, with customizable horizontal offset.
# Interactive Table in Chart
- Positions the info table in any chosen corner or center of the chart (top/right/left/middle, etc.).
- Displays symbol, PnL (dollar and percentage), and deviations to key EMAs and SMA.
- Colors PnL values according to profit or loss for instant clarity.
# User-Friendly Settings
- Flexible font size options for both the table and labels.
- Customizable colors for positive and negative values (default green/red).
- Choice of label position and X-axis offset to fit your chart style.
QP 19 | Z 2Description:
🔮 A dynamic visual indicator tailored for price projection and market reaction analysis.
Designed to support traders with directional signals and smart visual cues.
© All rights reserved – qlylmdb
🔸 Signal Guide:
🔼 / 🔽 Direction Arrows
Appear when a potential movement is expected upward or downward.
🎯 Target Line
Represents a forecasted price level where the move may extend.
🎯🎯 Second Target
Extended objective if the trend continues with strength.
❌ Stop Line
A line suggesting invalidation if price crosses a certain threshold.
🔁 Reversal Signal
Triggered when conditions indicate a potential change in direction.
🔄 QuantSignals AI Reversal Pro🔄 QuantSignals AI Reversal Pro — 78%+ Win Rate Reversal Detection
🚀 Catch Market Tops & Bottoms with AI-Powered Precision!
This powerful script brings you professional-grade reversal signals—built on cutting-edge AI, smart confluence logic, and rigorous backtesting.
Whether you’re swing trading, scalping, or position trading, this tool is your new edge.
🎯 Why Traders Love QS AI Reversal Pro:
✅ 78%+ Win Rate on major timeframes (tested on S&P 500, tech stocks, crypto)
🔄 AI-powered oversold/overbought reversal detection
📊 Built-in divergence detection engine (RSI, price, volume)
⚖️ Mean reversion zones + VWAP extremes + Bollinger Band signals
💎 High-Probability Mode: Filters only A+ setups for premium entries
🧠 Confluence Engine: Assigns quality scores to each reversal
🔔 Smart Alerts: Reversal alerts + divergence + premium triggers
🏆 Live Win Rate Tracker on your chart with quality % dashboard
🧠 Powered by QuantSignals AI Engine
This is a limited free version of our proprietary 85%+ win rate reversal algorithm—join our Discord to unlock:
🔐 Institutional-level AI reversal strategy
📈 Real-time confluence dashboards across timeframes
🎯 Custom reversal alerts with entry/exit/stop targets
💬 Live strategy signals, backtests & expert community
💥 Perfect For:
🔁 Reversal traders (crypto, stocks, futures)
⏱ Scalpers & 15m–4H swing traders
📊 Mean reversion systems
🧪 Traders who want data-driven signal confidence
📌 How It Works:
Every signal is based on multi-layer confluence:
Oversold/Overbought + Divergence + VWAP/BB + Volume Surge
Optional: Only show signals with minimum Risk:Reward (e.g. 1:2.5)
Each signal is scored, and you’ll see real-time win rate on-screen
Reversal zones highlighted via color-coded backgrounds
📺 On-Chart Display:
🔄 BUY / SELL Reversal Labels (color-coded for high-probability)
📉 Divergence Lines (bullish & bearish)
🧮 Signal Quality % + Live Win Rate
⚠️ Alerts on all major events (standard + high-prob + divergence)
🔓 Upgrade to Premium (in Discord):
✅ Access full 85%+ win rate reversal model
🧠 AI pattern recognition engine
🔍 Multi-timeframe signal agreement
💡 Institutional order-flow reversal tracking
📊 Backtests + optimization support
🚨 Advanced alerts + automation-ready signals
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💬 Discord: discord.gg/quantsignals
🎓 Learn the reversal strategies that top traders use
🔄 Start catching market reversals like a pro—install QS AI Reversal Pro today!
Note: This script is a visual indicator and not a strategy tester. For full backtest-ready premium strategy, please contact us on Discord.
MTF Trend Heatmap (EMA + MACD) by PierreKMTF Trend Heatmap (EMA + MACD) by PierreK
This indicator offers a compact and clear heatmap that visualizes the current trend status of an instrument across multiple key timeframes. Based on the combination of the EMA 50 and EMA 200, as well as the MACD indicator, the heatmap shows whether the trend is bullish (green dot) or bearish (red dot) on the 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day timeframes.
Highlights:
• Multi-timeframe analysis at a glance - perfect for traders who want to keep an eye on multiple timeframes.
• Clearly defined trend logic: EMA 50 > EMA 200 and MACD above signal and zero line.
‣ Simple color scheme for quick trend decisions.
Optimized for all markets and assets (forex, stocks, cryptocurrencies, etc.).
• Chart overload - heatmap as a separate, clearly positioned table.
Ideal for day traders, swing traders, and anyone who needs quick trend overviews for their trading.
FAQ
Q. Which markets is the indicator suitable for?
A: The indicator works universally on forex, stocks, cryptocurrencies, and other TradingView symbols.
Q: Can I add additional timeframes?
A: Currently, 1m, 5m, 15m, 1h, 4h, and 1d are preset. Adjustments are possible in the code if you are familiar with Pine Script.
Q: How accurate is the trend determination?
A: The trend is determined very reliably using the combination of the EMA 50/200 and MACD (via the signal line and the zero line).
Q: Can I use alerts with this indicator?
A: Alerts are not included in the standard script, but can be added individually.
Sweep & Reclaim Indicator with Time, EMA & ATR FilterCandlestick structure scalping
With this model, you are looking for a sweep of a bearish candle, then that bullish candle closes back inside the range of the bearish candle and you buystop the reclaimed candles high. Vice versa for bearish. I like to use the candle low as stop targeting 1R or higher.
You also only want to take trades between 9:30-11:30AM EST, you want an ATR above 10, and a LTF EMA, I like the 10. Those are all attached as filters with this indicator.
SQV Indicator Bridge# SQV Indicator Bridge - Quick Guide
## What is SQV Indicator Bridge?
A simple connector that validates your indicator's signals using SQV Lite before displaying them on the chart. Only high-quality signals pass through.
## How It Works
```
Your Indicator → Generates Signals → SQV Lite → Validates Quality → Bridge → Shows Only Valid Signals
```
## Quick Setup (3 Steps)
### Step 1: Prepare Your Indicator
Add these lines to export your signals:
```pinescript
// At the end of your indicator code
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Step 2: Add to Chart (in order)
1. Your indicator
2. SQV Lite
3. SQV Indicator Bridge
### Step 3: Connect Sources
In Bridge settings:
- **Long Signal Source** → Select: YourIndicator: Long Signal
- **Short Signal Source** → Select: YourIndicator: Short Signal
- **SQV Long Valid** → Select: SQV Lite: SQV Long Valid
- **SQV Short Valid** → Select: SQV Lite: SQV Short Valid
- **SQV Score** → Select: SQV Lite: SQV Score
## Visual Settings
| Setting | Description | Default |
|---------|-------------|---------|
| Show Labels | Display BUY/SELL labels | On |
| Label Offset | Distance from candles (0-5 ATR) | 0 |
| Label Size | Tiny, Small, or Normal | Small |
| Long Color | Color for buy signals | Green |
| Short Color | Color for sell signals | Red |
## What You'll See
- **Green "LONG" labels** - When your buy signal passes SQV validation
- **Red "SHORT" labels** - When your sell signal passes SQV validation
- **No label** - When signal quality is too low
## Common Issues & Solutions
### No labels appearing?
1. Check "Use External Signals" is ON in SQV Lite
2. Verify source connections are correct
3. Lower minimum score in SQV Lite (try 60)
4. Test your indicator separately to ensure it generates signals
### Too many/few signals?
- Adjust "Minimum Quality Score" in SQV Lite
- Default is 65, lower for more signals, higher for fewer
### Wrong signals showing?
- Check Trading Mode in SQV Lite matches your strategy (Long Only/Short Only/Both)
## Example Integration
### Simple MA Cross Indicator
```pinescript
//@version=6
indicator("MA Cross with SQV", overlay=true)
// Your logic
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
longSignal = ta.crossover(fast, slow)
shortSignal = ta.crossunder(fast, slow)
// Plot MAs
plot(fast, color=color.blue)
plot(slow, color=color.red)
// Export for SQV Bridge (REQUIRED!)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
## Tips
✅ **DO**:
- Test in "Autonomous Mode" first (SQV Lite setting)
- Use clear signal names in your plots
- Keep signals binary (1 or 0)
❌ **DON'T**:
- Forget to add `display=display.none` to signal plots
- Use values other than 0 and 1 for signals
- Leave "Use External Signals" OFF in SQV Lite
## Alert Setup
1. Enable "Enable Alerts" in Bridge settings
2. Create alert on Bridge (not your indicator)
3. Alert message includes SQV score
Example alert: `"Long Signal Validated | Score: 85"`
## Complete Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// Settings
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// Logic
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
```
---
**Need help?** Check the full SQV documentation or contact through TradingView messages.
Signal Quality Validator - Lite# Signal Quality Validator Lite - Technical Documentation
## Introduction
The Signal Quality Validator (SQV) Lite represents a comprehensive approach to technical signal validation, designed to evaluate trading opportunities through multi-dimensional market analysis. This indicator provides traders with objective quality assessments for their entry signals across various market conditions and timeframes.
## Core Architecture
### Component-Based Validation System
SQV Lite employs five fundamental market components, each contributing weighted scores to produce a final quality assessment. The system analyzes multiple market dimensions simultaneously to provide comprehensive signal validation.
Each component uses proprietary algorithms to evaluate specific market conditions:
- Directional bias and strength assessment
- Market participation and flow analysis
- Price acceleration patterns
- Key technical level identification
- Optimal volatility conditions
The final score represents a weighted combination of all components, with thresholds adjusted for different market conditions and timeframes.
## Scoring Methodology
### Quality Grades
- **Grade A+ (90-100)**: Exceptional setup quality with maximum component confluence
- **Grade A (80-89)**: High-quality signals suitable for full position sizing
- **Grade B (65-79)**: Acceptable signals meeting minimum validation criteria
- **Grade C (<65)**: Substandard conditions, signal rejected
### Timeframe Profiles
Pre-configured profiles optimize component weights and thresholds:
| Profile | Typical Use Case | Min/High/Perfect Scores |
|---------|------------------|------------------------|
| 1-5 min | Scalping | 60/75/85 |
| 15-30 min | Day Trading | 65/80/90 |
| 1H-4H | Intraday Swing | 70/85/95 |
| Daily+ | Position Trading | 75/88/95 |
| Custom | User Defined | Configurable |
## Integration Guide
### Standalone Usage
1. Add SQV Lite to your chart
2. Select appropriate timeframe profile
3. Monitor real-time quality grades on signal bars
4. Use dashboard for current market assessment
### Bidirectional Strategy Integration
SQV Lite supports complete two-way communication with your custom strategies, enabling sophisticated signal validation workflows.
#### Step 1: Setting Up Your Strategy to Send Signals
In your custom strategy/indicator, export your signals as plots:
```pinescript
//@version=6
indicator("My Custom Strategy", overlay=true)
// Your signal logic
longSignal = ta.crossover(ema9, ema21) // Example
shortSignal = ta.crossunder(ema9, ema21) // Example
// CRITICAL: Export signals for SQV to read
// Use display=display.none to hide the plots
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
```
#### Step 2: Configure SQV Lite to Receive Signals
1. Add SQV Lite to the same chart as your strategy
2. In SQV Lite settings, enable "Use External Signals"
3. Click on "External Long Signal Source" and select your strategy's "Long Signal Output"
4. Click on "External Short Signal Source" and select your strategy's "Short Signal Output"
#### Step 3: Import SQV Validation Back to Your Strategy
Complete the bidirectional flow by importing SQV's validation results:
```pinescript
//@version=6
strategy("My Strategy with SQV Integration", overlay=true)
// Import SQV validation results
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvTradingMode = input.source(close, "SQV Trading Mode", group="SQV Integration")
// Your original signals
longSignal = ta.crossover(ema9, ema21)
shortSignal = ta.crossunder(ema9, ema21)
// Export for SQV
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// Use SQV validation in entry logic
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long)
// Optional: Use sqvScore for position sizing
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short)
```
#### Step 4: Complete Integration Setup
After adding both scripts to your chart:
1. In your strategy settings → SQV Integration:
- Set "SQV Score Source" → Select SQV Lite: SQV Score
- Set "SQV Long Valid Source" → Select SQV Lite: SQV Long Valid
- Set "SQV Short Valid Source" → Select SQV Lite: SQV Short Valid
2. In SQV Lite settings → Signal Import:
- Enable "Use External Signals"
- Set "External Long Signal Source" → Select Your Strategy: Long Signal Output
- Set "External Short Signal Source" → Select Your Strategy: Short Signal Output
### Available Data Exports from SQV
```pinescript
// Core validation data
plot(currentTotalScore, "SQV Score", display=display.none) // 0-100
plot(sqvLongValid ? 1 : 0, "SQV Long Valid", display=display.none) // 0 or 1
plot(sqvShortValid ? 1 : 0, "SQV Short Valid", display=display.none) // 0 or 1
// Component scores for advanced usage
plot(currentTrendScore, "SQV Trend Score", display=display.none)
plot(currentVolumeScore, "SQV Volume Score", display=display.none)
plot(currentMomentumScore, "SQV Momentum Score", display=display.none)
plot(currentStructureScore, "SQV Structure Score", display=display.none)
plot(currentVolatilityScore, "SQV Volatility Score", display=display.none)
// Additional data
plot(orderFlowDelta, "SQV Order Flow Delta", display=display.none)
plot(tradingMode == "Long" ? 1 : tradingMode == "Short" ? -1 : 0, "SQV Trading Mode", display=display.none)
```
### Advanced Integration Examples
#### Example 1: Quality-Based Position Sizing
```pinescript
// In your strategy
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
// Dynamic position sizing based on signal quality
positionSize = sqvScore >= 90 ? 3 : // A+ quality = 3 units
sqvScore >= 80 ? 2 : // A quality = 2 units
sqvScore >= 65 ? 1 : 0 // B quality = 1 unit
if longSignal and sqvLongValid > 0 and positionSize > 0
strategy.entry("Long", strategy.long, qty=positionSize)
```
#### Example 2: Filtering by Component Scores
```pinescript
// Import individual components
sqvTrend = input.source(close, "SQV Trend Score", group="SQV Integration")
sqvVolume = input.source(close, "SQV Volume Score", group="SQV Integration")
sqvMomentum = input.source(close, "SQV Momentum Score", group="SQV Integration")
// Custom filtering logic
strongTrend = sqvTrend > 80
goodVolume = sqvVolume > 70
strongSetup = strongTrend and goodVolume
if longSignal and sqvLongValid > 0 and strongSetup
strategy.entry("Strong Long", strategy.long)
```
#### Example 3: Order Flow Integration
```pinescript
// Import order flow data
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// Use order flow for additional confirmation
bullishFlow = sqvOrderFlow > 100 // Significant buying pressure
bearishFlow = sqvOrderFlow < -100 // Significant selling pressure
if longSignal and sqvLongValid > 0 and bullishFlow
strategy.entry("Long+Flow", strategy.long)
```
### Visual Feedback Configuration
#### Label Display Modes
1. **Autonomous Mode** (standalone testing):
- Enable "Show Labels Without Signals"
- Labels appear on every bar where score >= minimum threshold
- Useful for initial testing without strategy integration
2. **Signal Mode** (production use):
- Disable "Show Labels Without Signals"
- Enable "Use External Signals"
- Labels appear ONLY when your strategy generates signals
- Prevents chart clutter, shows validation exactly when needed
#### Troubleshooting Integration
**Common Issues:**
1. **Labels not appearing:**
- Verify "Use External Signals" is enabled
- Check signal sources are properly connected
- Ensure your strategy is actually generating signals (add visible plots temporarily)
2. **Wrong source selection:**
- Source dropdowns should show your indicator/strategy name
- Each output plot should be visible in the dropdown
- If not visible, check plot titles in your strategy
3. **Validation always failing:**
- Check Trading Mode matches your signal types
- Verify minimum score thresholds aren't too high
- Use Autonomous Mode to test if SQV is working properly
### Best Practices
1. **Always use `display=display.none`** for communication plots to keep charts clean
2. **Name your plots clearly** for easy identification in source dropdowns
3. **Test in Autonomous Mode first** to understand SQV behavior
4. **Use consistent signal logic** - ensure signals are binary (1 or 0)
5. **Consider adding a small delay** between signal and entry for validation processing
### Complete Integration Template
Here's a full template for a strategy with complete SQV integration:
```pinescript
//@version=6
strategy("Complete SQV Integration Template", overlay=true)
// ========== SQV Integration Inputs ==========
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// ========== Strategy Parameters ==========
emaFast = input.int(9, "Fast EMA")
emaSlow = input.int(21, "Slow EMA")
useQualitySizing = input.bool(true, "Use Quality-Based Sizing")
// ========== Indicators ==========
ema1 = ta.ema(close, emaFast)
ema2 = ta.ema(close, emaSlow)
// ========== Signal Logic ==========
longSignal = ta.crossover(ema1, ema2)
shortSignal = ta.crossunder(ema1, ema2)
// ========== Export Signals to SQV ==========
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// ========== Position Sizing ==========
baseSize = 1
qualityMultiplier = useQualitySizing ?
(sqvScore >= 90 ? 3 : sqvScore >= 80 ? 2 : 1) : 1
positionSize = baseSize * qualityMultiplier
// ========== Entry Logic with SQV Validation ==========
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long, qty=positionSize)
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short, qty=positionSize)
// ========== Exit Logic ==========
if strategy.position_size > 0 and shortSignal
strategy.close("Long")
if strategy.position_size < 0 and longSignal
strategy.close("Short")
// ========== Visual Feedback ==========
plotshape(longSignal and sqvLongValid > 0, "Valid Long",
location=location.belowbar, color=color.green, style=shape.triangleup)
plotshape(shortSignal and sqvShortValid > 0, "Valid Short",
location=location.abovebar, color=color.red, style=shape.triangledown)
```
This template provides everything needed for professional bidirectional integration between your custom strategy and SQV Lite.
## Order Flow Analysis
The integrated Order Flow system automatically adapts to market conditions, providing intelligent analysis of buying and selling pressure. The system handles various market scenarios including low liquidity and minimal price movement conditions through advanced algorithms.
## Visual Interface
### Signal Labels
Displays three-line information blocks:
- Grade designation (A+, A, B, C)
- Numerical quality score
- Order flow direction and magnitude
### Dashboard Elements
- **Profile Display**: Active configuration and thresholds
- **Score Visualization**: Real-time quality assessment
- **Flow Indicator**: Directional bias representation
- **Status Monitor**: Ready/Wait signal state
### Customization Options
- Label distance adjustment (0.5-3.0x ATR)
- Profile selection and custom configuration
- Component weight modifications (Custom mode)
- Threshold adjustments for different market conditions
## Trading Mode Selection
Three operational modes accommodate different trading styles:
- **Long Only**: Validates bullish signals exclusively
- **Short Only**: Validates bearish signals exclusively
- **Both**: Bi-directional signal validation
## Performance Considerations
SQV Lite maintains computational efficiency through:
- Optimized calculation cycles
- Selective component updates
- Efficient data structure usage
- Minimal redundant processing
---
## Feature Comparison: SQV Lite vs Full Version
### Core Components
| Component | SQV Lite | SQV Full | Details |
|-----------|----------|----------|---------|
| **Trend Analysis** | ✅ Full | ✅ Full | Professional trend evaluation |
| **Volume Dynamics** | ✅ Full | ✅ Full | Advanced volume analysis |
| **Momentum Assessment** | ✅ Full | ✅ Full | Multi-factor momentum |
| **Market Structure** | ✅ Basic | ✅ Enhanced | Key level detection |
| **Volatility Filter** | ✅ Full | ✅ Full | Risk-adjusted filtering |
| **Performance Analytics** | ❌ | ✅ | Real-time performance tracking |
| **Impulse Detection** | ❌ | ✅ | Advanced signal filtering |
### Advanced Features
| Feature | SQV Lite | SQV Full | Benefits |
|---------|----------|----------|----------|
| **Multi-Timeframe Analysis** | ❌ | ✅ | Higher timeframe confirmation |
| **Dynamic Position Sizing** | ❌ | ✅ Automatic | Dynamic size optimization |
| **Auto Mode** | ❌ | ✅ | Self-optimizing system |
| **Advanced Profiling** | ❌ | ✅ | Market depth analysis |
| **Recovery Mode** | ❌ | ✅ | Adaptive drawdown handling |
| **Statistical Validation** | ❌ | ✅ | Confidence-based filtering |
### Profiles & Configuration
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Timeframe Profiles** | 5 | 8 |
| **Available Profiles** | 1-5m, 15-30m, 1-4H, Daily+, Custom | All Lite + ES, NQ, Auto |
| **Custom Weights** | ✅ Manual | ✅ Manual + Auto-optimization |
| **Threshold Adjustment** | ✅ | ✅ Enhanced |
### Visual Interface
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Dashboard Styles** | 1 (Standard) | 4 (Multiple layouts) |
| **Signal Labels** | ✅ Basic | ✅ Enhanced with sizing |
| **Advanced Visualizations** | ❌ | ✅ |
| **Component Breakdown** | ❌ | ✅ Detailed view |
| **Performance Display** | ❌ | ✅ Live statistics |
| **Debug Mode** | ❌ | ✅ |
### Integration Capabilities
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Script Type** | Indicator | Strategy |
| **Signal Import** | ✅ | Via strategy conditions |
| **Data Export** | ✅ All via plots | Internal to strategy |
| **Bidirectional Flow** | ✅ Full support | One-way (strategy-based) |
### Risk Management
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Position Sizing** | Manual | ✅ Automatic |
| **Quality-Based Sizing** | Via integration | ✅ Built-in |
| **Performance Adjustment** | ❌ | ✅ |
| **Risk Grade System** | ❌ | ✅ Risk grading system |
| **Statistical Filtering** | ❌ | ✅ |
### Market Analysis
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Order Flow Analysis** | ✅ Automatic | ✅ Advanced |
| **Market Manipulation Detection** | ❌ | ✅ |
| **Multi-Timeframe Validation** | ❌ | ✅ |
| **Advanced Momentum Analysis** | Basic | ✅ Enhanced |
| **Market Regime Adaptation** | Basic | ✅ Full Auto Mode |
### Summary
| Aspect | SQV Lite | SQV Full |
|--------|----------|----------|
| **Best For** | Signal validation, integration with custom strategies | Complete trading system with built-in strategy |
| **Learning Curve** | Easy | Moderate |
| **Customization** | High (via integration) | Very High (all parameters) |
| **Price** | Free | $29/month |
---
## SQV Bridge System
### Overview
The SQV Bridge System allows you to connect any TradingView indicator or strategy with the Signal Quality Validator (SQV) system. This enables you to add professional-grade signal validation to your existing trading tools without modifying their code.
### System Components
1. **SQV Lite** (Required) - The core validation engine
2. **Bridge** (Choose one):
- **Indicator Bridge** - For visual signals and alerts
- **Strategy Bridge** - For automated backtesting and trading
3. **Your Trading Tool** - Any indicator or strategy that generates signals
---
## SQV Indicator Bridge
### //@version=6
### indicator("SQV Indicator Bridge", overlay=true)
### Purpose
The Indicator Bridge displays validated entry signals on your chart. It receives signals from any indicator and validation from SQV Lite, showing only high-quality trade opportunities.
### Features
- Visual labels for validated signals
- Customizable appearance (size, color, position)
- Alert capabilities
- Hidden signal exports for other tools
### Setup Instructions
1. **Add Your Indicator**
- Apply your trading indicator to the chart
- Note which plots contain long/short signals
2. **Add SQV Lite**
- Add SQV Lite indicator to the same chart
- Configure SQV settings as needed
3. **Add Indicator Bridge**
- Add "SQV Indicator Bridge" to chart
- Connect the sources:
- Long Signal Source → Your indicator's long signal
- Short Signal Source → Your indicator's short signal
- SQV Long Valid → From SQV Lite
- SQV Short Valid → From SQV Lite
- SQV Score → From SQV Lite (for alerts)
### Configuration Options
#### Visual Settings
- **Show Labels**: Toggle signal labels on/off
- **Label Offset**: Distance from candles (0-5 ATR)
- **Label Size**: Tiny, Small, or Normal
- **Colors**: Customize long/short colors
#### Alerts
- Enable/disable alert notifications
- Alerts include SQV score in message
### Example Code (Add to Your Indicator)
```pinescript
// Export signals from your indicator
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Complete Indicator Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// ===================================================================
// SQV INDICATOR BRIDGE - CLEAN VERSION
// Version 1.0
//
// Simple bridge that shows validated entry signals.
// Receives signals from any indicator and validation from SQV Lite.
//
// SETUP:
// 1. Add your indicator to chart
// 2. Add SQV Lite to chart
// 3. Add this bridge
// 4. Connect sources in settings
// ===================================================================
// ===================================================================
// INPUT SOURCES
// ===================================================================
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Select Long Signal from your indicator")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Select Short Signal from your indicator")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources",
tooltip="Select 'SQV Long Valid' from SQV Lite")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources",
tooltip="Select 'SQV Short Valid' from SQV Lite")
sqvScore = input.source(close, "SQV Score", group="SQV Sources",
tooltip="Select 'SQV Score' from SQV Lite (for alerts)")
// ===================================================================
// SETTINGS
// ===================================================================
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual",
tooltip="0 = Labels at candle edges, higher = further away")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// ===================================================================
// MAIN LOGIC
// ===================================================================
// Calculate offset
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
// Check for validated signals
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// Hidden exports
plot(hasValidLong ? 1 : 0, "Valid Long", display=display.none)
plot(hasValidShort ? 1 : 0, "Valid Short", display=display.none)
```
---
## SQV Strategy Bridge
### //@version=6
### strategy("SQV Strategy Bridge", overlay=true, ...)
### Purpose
The Strategy Bridge executes trades with SQV validation, enabling backtesting and live trading with quality-filtered signals. It can receive position sizing, stop loss, and take profit levels from your strategy.
### Features
- Automated trade execution with SQV validation
- Dynamic position sizing support
- Stop loss and take profit integration
- Position status display
- Alert system for trade notifications
### Setup Instructions
1. **Prepare Your Strategy**
- Export required values as plots (see examples below)
- Ensure signals are clear (1 for entry, 0 for no signal)
2. **Add SQV Lite**
- Add SQV Lite indicator to the chart
- Configure validation parameters
3. **Add Strategy Bridge**
- Add "SQV Strategy Bridge" to chart
- Connect all required sources
### Source Connections
#### Required Sources
- **Long Signal Source** → Your strategy's long signal
- **Short Signal Source** → Your strategy's short signal
- **SQV Long Valid** → From SQV Lite
- **SQV Short Valid** → From SQV Lite
- **SQV Score** → From SQV Lite
#### Optional Sources (Advanced)
- **Position Size Source** → Dynamic position sizing
- **Long/Short Stop Loss** → Stop loss prices
- **Long/Short Take Profit** → Take profit prices
### Configuration Options
#### Position Management
- **Use Position Size from Strategy**: Enable dynamic sizing
- **Default Position Size %**: Fallback size (0.1-100%)
#### Risk Management
- **Use Stop Loss from Strategy**: Enable dynamic stops
- **Use Take Profit from Strategy**: Enable dynamic targets
### Example Code (Add to Your Strategy)
```pinescript
// Basic signal export
plot(buySignal ? 1 : 0, "Long Signal", display=display.none)
plot(sellSignal ? 1 : 0, "Short Signal", display=display.none)
// Advanced exports (optional)
// Position size (0.1 = 10% of equity)
plot(myPositionSize, "Position Size Output", display=display.none)
// Stop loss prices
plot(longStopPrice, "Long Stop Price", display=display.none)
plot(shortStopPrice, "Short Stop Price", display=display.none)
// Take profit prices
plot(longTPPrice, "Long TP Price", display=display.none)
plot(shortTPPrice, "Short TP Price", display=display.none)
```
### Complete Strategy Bridge Code
```pinescript
//@version=6
strategy("SQV Strategy Bridge",
overlay=true,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10,
commission_type=strategy.commission.percent,
commission_value=0.1)
// ===================================================================
// SQV STRATEGY BRIDGE - SIMPLE VERSION
// Version 1.0
//
// Receives everything from your strategy:
// - Signals (when to trade)
// - Position size (how much to trade)
// - Stop loss levels (optional)
// - Take profit levels (optional)
//
// Bridge only executes trades with SQV validation
// ===================================================================
// ===================================================================
// SIGNAL SOURCES
// ===================================================================
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Connect to Long Signal from your strategy")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Connect to Short Signal from your strategy")
// ===================================================================
// SQV SOURCES
// ===================================================================
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// ===================================================================
// POSITION SIZE SOURCES (FROM YOUR STRATEGY)
// ===================================================================
usePositionFromStrategy = input.bool(false, "Use Position Size from Strategy", group="Position")
positionSizeSource = input.source(close, "Position Size Source", group="Position",
tooltip="Your strategy should export position size (% or fixed quantity)")
defaultPositionSize = input.float(10, "Default Position Size %", minval=0.1, maxval=100, group="Position",
tooltip="Used if 'Use Position Size from Strategy' is disabled")
// ===================================================================
// STOP LOSS SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useStopFromStrategy = input.bool(false, "Use Stop Loss from Strategy", group="Risk Management")
longStopSource = input.source(close, "Long Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for longs")
shortStopSource = input.source(close, "Short Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for shorts")
// ===================================================================
// TAKE PROFIT SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useTakeProfitFromStrategy = input.bool(false, "Use Take Profit from Strategy", group="Risk Management")
longTakeProfitSource = input.source(close, "Long Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for longs")
shortTakeProfitSource = input.source(close, "Short Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for shorts")
// ===================================================================
// ALERTS
// ===================================================================
enableAlerts = input.bool(true, "Enable Alerts", group="Alerts")
// ===================================================================
// TRADING LOGIC
// ===================================================================
// Check signals with SQV validation
hasLongSignal = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasShortSignal = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Position state
inLong = strategy.position_size > 0
inShort = strategy.position_size < 0
// Get position size
getPositionSize() =>
if usePositionFromStrategy and positionSizeSource > 0
positionSizeSource
else
defaultPositionSize / 100
// LONG ENTRY
if hasLongSignal and not inLong
if inShort
strategy.close("Short")
qty = getPositionSize()
strategy.entry("Long", strategy.long, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and longStopSource > 0 ? longStopSource : na
tpPrice = useTakeProfitFromStrategy and longTakeProfitSource > 0 ? longTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Long Exit", "Long", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Long Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// SHORT ENTRY
if hasShortSignal and not inShort
if inLong
strategy.close("Long")
qty = getPositionSize()
strategy.entry("Short", strategy.short, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and shortStopSource > 0 ? shortStopSource : na
tpPrice = useTakeProfitFromStrategy and shortTakeProfitSource > 0 ? shortTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Short Exit", "Short", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Short Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// ===================================================================
// POSITION INFO
// ===================================================================
var label infoLabel = label.new(bar_index, high, "", style=label.style_label_left)
if barstate.islast
posText = "Bridge Status "
posText := inLong ? posText + "Position: LONG " : inShort ? posText + "Position: SHORT " : posText + "Position: FLAT "
posText := "SQV Score: " + str.tostring(sqvScore, "#")
label.set_xy(infoLabel, bar_index + 1, high)
label.set_text(infoLabel, posText)
label.set_color(infoLabel, inLong ? color.new(color.green, 80) : inShort ? color.new(color.red, 80) : color.new(color.gray, 80))
label.set_textcolor(infoLabel, color.white)
// ===================================================================
// HOW TO EXPORT FROM YOUR STRATEGY:
//
// // In your strategy, export these values:
//
// // Position size (% as decimal: 0.1 = 10%, or fixed: 0.2 = 0.2 BTC)
// plot(myPositionSize, "Position Size Output", display=display.none)
//
// // Stop loss prices
// plot(longStopPrice, "Long Stop Price", display=display.none)
// plot(shortStopPrice, "Short Stop Price", display=display.none)
//
// // Take profit prices
// plot(longTPPrice, "Long TP Price", display=display.none)
// plot(shortTPPrice, "Short TP Price", display=display.none)
// ===================================================================
```
---
## Quick Start Guide
### For Indicators (Visual Signals)
1. Add these three indicators in order:
- Your trading indicator
- SQV Lite
- SQV Indicator Bridge
2. In Bridge settings, connect:
- Signal sources from your indicator
- Validation sources from SQV Lite
3. Adjust visual settings to preference
### For Strategies (Automated Trading)
1. Modify your strategy to export signals:
```pinescript
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
2. Add to chart:
- Your modified strategy (as indicator)
- SQV Lite
- SQV Strategy Bridge
3. Connect all sources in Bridge settings
4. Run backtest or enable live trading
---
## Tips & Best Practices
### Signal Quality
- SQV validates signals based on 5 market components (7 in full version)
- Only signals with sufficient quality score pass validation
- Adjust SQV settings to match your trading style
### Position Sizing
- Default sizing uses percentage of equity
- Advanced users can export dynamic sizing from strategy
- Size based on signal quality or market conditions
### Risk Management
- Always use stop losses (manual or from strategy)
- Consider using SQV's quality score for position sizing
- Monitor win rate and Sharpe ratio in SQV dashboard (full version)
### Troubleshooting
- **No signals showing**: Check source connections
- **Too few signals**: Lower SQV minimum score
- **Too many signals**: Increase SQV requirements
- **Backtest issues**: Ensure strategy calculations match
---
## Example Setups
### Simple Moving Average Cross + SQV
```pinescript
// In your indicator
ma_fast = ta.sma(close, 20)
ma_slow = ta.sma(close, 50)
longSignal = ta.crossover(ma_fast, ma_slow)
shortSignal = ta.crossunder(ma_fast, ma_slow)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
### RSI Strategy with Dynamic Stops
```pinescript
// In your strategy
rsi = ta.rsi(close, 14)
longSignal = rsi < 30
shortSignal = rsi > 70
// Dynamic stops based on ATR
atr = ta.atr(14)
longStop = close - (atr * 2)
shortStop = close + (atr * 2)
// Export everything
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
plot(longStop, "Long Stop Price", display=display.none)
plot(shortStop, "Short Stop Price", display=display.none)
```
---
## Advanced Features
### Multi-Timeframe Validation
SQV automatically checks higher timeframes for confluence, improving signal reliability (Full version only).
### Adaptive Profiles
Use "Auto" profile in SQV for dynamic parameter adjustment based on market conditions (Full version only).
### Performance Tracking
SQV tracks win rate, Sharpe ratio, and other metrics to ensure consistent performance (Full version only).
### Order Flow Analysis
Validates signals using volume delta and buying/selling pressure (included in Lite version).
---
## Upgrade to SQV Full Version
### Enhanced Capabilities in Full Version
The complete SQV system extends validation capabilities with advanced components:
#### 🎯 **Performance Analytics Component**
- Real-time Sharpe Ratio calculation
- Win rate tracking with confidence intervals
- Risk-adjusted performance metrics
- Adaptive threshold adjustments
#### ⚡ **Impulse Detection with Trap Analysis**
- Advanced momentum surge detection
- Market manipulation identification
- False breakout filtering
- Volume/price divergence analysis
#### 📊 **Multi-Timeframe Confluence**
- Three-timeframe trend alignment
- Higher timeframe confirmation requirements
- Confluence strength scoring
- Directional bias validation
#### 🎰 **Dynamic Position Sizing**
- Automatic position multipliers based on signal quality
- Grade A+ signals (90+) = Maximum multiplier
- Grade A signals (80-89) = Scaled multiplier
- Grade B signals (65-79) = Base position size
- Risk-adjusted position management
- Sharpe-influenced adjustments
#### 🔄 **Auto Mode**
- Market-adaptive parameter optimization
- Dynamic weight redistribution
- Volatility-based threshold adjustments
- Self-calibrating component settings
#### 📈 **Volume Profile Integration**
- Point of Control (POC) identification
- Value Area analysis (VAH/VAL)
- Profile-based support/resistance
- Volume distribution visualization
#### 🛡️ **Recovery Mode**
- Drawdown detection and adaptation
- Conservative validation during recovery
- Gradual threshold normalization
- Performance-based re-engagement
#### 📊 **Extended Visualizations**
- Multiple dashboard layouts
- Component breakdown displays
- Performance statistics panels
- Risk grade assessments
### Why Upgrade?
While SQV Lite provides robust signal validation, the Full Version transforms your trading with:
- **Automated risk management** through dynamic sizing
- **Superior signal filtering** via Impulse and MTF components
- **Performance optimization** with real-time analytics
- **Market adaptation** through Auto Mode
- **Additional dashboard layouts** for complete market insight
The Full Version includes everything in Lite plus seven additional premium components.
---
## 💰 **SQV Full Version Pricing**
### **Monthly Subscription: $29/month**
Get instant access to the complete Signal Quality Validator system with all premium features:
- ✅ All 7 additional advanced components
- ✅ Automatic position sizing optimization
- ✅ Performance analytics & Sharpe tracking
- ✅ Impulse detection with trap analysis
- ✅ Multi-timeframe confluence validation
- ✅ Auto Mode with self-optimization
- ✅ Recovery mode for drawdown management
- ✅ 4 dashboard layouts
- ✅ Lifetime updates included
- ✅ Priority support
**The automatic position sizing feature alone can pay for months of subscription with a single properly-sized winning trade.**
### 📩 **How to Subscribe**
To get access to SQV Full Version:
1. **Send me a DM** on TradingView
2. **Include your TradingView username/ID** in the message
3. Receive payment instructions and access upon confirmation
*Your TradingView ID is required to grant access to the private indicator.*
### 🔧 **Custom Integration Services**
**Need direct integration into your Pine Script strategy?**
For traders requiring seamless library-based integration without the 500-bar limitation:
- Full backtesting on complete price history
- Zero signal delay
- Custom parameter optimization
- Private library implementation
**📩 DM me for custom integration pricing and details**
---
## Support and Updates
- Both bridges are regularly updated
- SQV Lite receives regular maintenance updates
- For technical questions or feature requests, please reach out through TradingView's messaging system
- Check for new features and improvements in the script descriptions
## Disclaimer
Signal Quality Validator provides technical analysis assistance only. All trading decisions remain the sole responsibility of the user. Past performance does not guarantee future results. Trade responsibly and within your risk tolerance.
*Note: This system is designed for educational purposes. Always test thoroughly before live trading.*
52SIGNAL RECIPE CME Gap Support & Resistance Detector═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ Overview
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is an advanced technical indicator that automatically detects and visualizes all types of price gaps occurring in the CME Bitcoin futures market on trading charts. It captures not only gaps formed during weekend and holiday closures, but also those created during the daily 1-hour maintenance period on weekdays, and sudden price gaps resulting from economic indicator releases or news events.
The core value of this indicator lies beyond simply displaying gaps; it visualizes how these price discontinuities act as powerful support and resistance zones that influence future price movements. In real markets, these CME gaps have a high probability of either being "filled" or functioning as important reaction zones, providing traders with valuable entry and exit signals.
─────────────────────────────────────
◆ Key Features
• Comprehensive Gap Detection: Detects gaps in all market conditions
- Weekend/holiday closure gaps
- Weekday 1-hour maintenance period gaps
- Gaps from economic indicators/news events causing rapid price changes
• Intuitive Color Coding:
- Blue: When gaps act as support (price is above the gap)
- Red: When gaps act as resistance (price is below the gap)
- Gray: Filled gaps (price has completely passed through the gap area)
• Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing support↔resistance role transitions
• Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
• Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
• Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
• Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
• Key Usage Points:
- Pay special attention when price approaches gap areas
- Color changes in gaps signal important market sentiment shifts
- Areas with multiple clustered gaps are particularly strong reaction zones
─────────────────────────────────────
◆ User Guide: Understanding Gap Roles Through Colors
■ Color System Interpretation
• Blue Gaps (Support Role):
▶ Meaning: Current price is above the gap, making the gap act as support
▶ Trading Application: Consider buying opportunities when price approaches blue gap areas
▶ Psychological Meaning: Buying pressure likely to increase at this price level
• Red Gaps (Resistance Role):
▶ Meaning: Current price is below the gap, making the gap act as resistance
▶ Trading Application: Consider selling opportunities when price approaches red gap areas
▶ Psychological Meaning: Selling pressure likely to increase at this price level
• Gray Gaps (Filled Gaps):
▶ Meaning: Price has completely passed through the gap area, filling the gap
▶ Reference Value: Still valuable as reference for past important reaction zones
▶ Trading Application: Used to confirm trend strength and identify key psychological levels
■ Understanding Color Transitions
• Blue → Red Transition:
▶ Meaning: Price has fallen below the gap, changing its role from support to resistance
▶ Market Interpretation: Breakdown of previous support strengthens bearish signals
▶ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
• Red → Blue Transition:
▶ Meaning: Price has risen above the gap, changing its role from resistance to support
▶ Market Interpretation: Breakout above previous resistance strengthens bullish signals
▶ Trading Application: Consider potential further rise; check gap top as support during pullbacks
─────────────────────────────────────
◆ Practical Application Guide
■ Basic Trading Scenarios
• Blue Gap Support Strategy:
▶ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
▶ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
▶ Take Profit: Previous swing high or next resistance level above
▶ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
• Red Gap Resistance Strategy:
▶ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
▶ Stop Loss: Above the gap top (if price completely breaks up through the gap)
▶ Take Profit: Previous swing low or next support level below
▶ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
■ Advanced Pattern Applications
• Multiple Gap Cluster Identification:
▶ Several gaps in close price proximity form extremely powerful support/resistance zones
▶ Same-color gap clusters: Very strong single-direction reaction zones
▶ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
• Gap Sequence Analysis:
▶ Consecutive same-direction gaps: Strong trend confirmation signal
▶ Increasing gap size pattern: Trend acceleration signal
▶ Decreasing gap size pattern: Trend weakening signal
• News/Indicator Release Gap Utilization:
▶ Gaps formed immediately after economic indicators: Measure market shock intensity
▶ Gap color change observation: Track market reinterpretation of news
▶ Gap filling speed analysis: Evaluate news impact duration
• Key Attention Points:
▶ Pay special attention to the chart whenever price approaches gap areas
▶ Gap color changes signal important market sentiment shifts
▶ Areas with multiple concentrated gaps are likely to show strong price reactions
─────────────────────────────────────
◆ Technical Foundation
■ CME Gap Formation Principles
• Key Gap Formation Scenarios:
▶ Weekend Closures (Friday close → Monday open): Most common CME gap formation point
▶ Holiday Closures: Gaps occurring due to CME closures on US holidays
▶ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
▶ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
▶ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
• Psychological Importance of Gaps:
▶ Zones where price formation did not occur, representing imbalance between buying/selling forces
▶ Gap areas have no actual trading, resulting in accumulated potential orders
▶ Reflect institutional investor positions and liquidity distribution in the CME futures market
■ Support/Resistance Mechanism
• Psychological Level Formation Mechanism:
▶ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
▶ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
▶ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
• Evidence of Support/Resistance Function:
▶ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
▶ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
▶ Market psychology impact: Influences traders' perceived value and fair price assessment
─────────────────────────────────────
◆ Advanced Configuration Options
■ Visualization Settings
• Show Gap Labels (Default: On)
▶ On: Displays price ranges of each gap numerically for precise support/resistance level identification
▶ Off: Hides labels for visual cleanliness
• Color Settings
▶ Filled Gap Color: Gray tones, shows gaps already traversed by price
▶ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
▶ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
■ Data Management Settings
• Filled Gap Storage Limit (Default: 10)
▶ Sets maximum number of filled gaps to retain on chart
▶ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
• Maximum Gap Retention Period (Default: 12 months)
▶ Sets period after which old unfilled gaps are automatically removed
▶ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
─────────────────────────────────────
◆ Synergy with Other Indicators
• Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
• Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
• Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
• Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
• Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
─────────────────────────────────────
◆ Conclusion
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is not merely a gap display tool, but an advanced analytical tool that visualizes important support/resistance areas where price may strongly react, using intuitive color codes (blue=support, red=resistance). It detects all types of gaps without omission, whether from weekend and holiday closures, weekday 1-hour maintenance periods, important economic indicator releases, or market shock situations.
The core value of this indicator lies in clearly expressing through intuitive color coding that gaps are not simple price discontinuities, but psychological support/resistance areas that significantly influence future price action. Traders can instantly identify areas where blue gaps act as support and red gaps act as resistance, enabling quick and effective decision-making.
By referencing the color codes when price approaches gap areas to predict possible price reactions, and especially interpreting color transition moments (blue→red or red→blue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
─────────────────────────────────────
※ Disclaimer: Like all trading tools, the CME Gap Detector should be used as a supplementary indicator and not relied upon alone for trading decisions. Past gap reaction patterns cannot guarantee the same behavior in the future. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 개요
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 CME 비트코인 선물 시장에서 발생하는 모든 유형의 가격 갭(Gap)을 자동으로 감지하여 트레이딩 차트에 시각화하는 고급 기술적 지표입니다. 주말과 공휴일 휴장은 물론, 평일 1시간 휴장 시간, 그리고 중요 경제지표 발표나 뉴스 이벤트 시 발생하는 급격한 가격 갭까지 누락 없이 포착합니다.
이 인디케이터의 핵심 가치는 단순히 갭을 표시하는 것을 넘어, 이러한 가격 불연속성이 미래 가격 움직임에 영향을 미치는 강력한 지지(Support)와 저항(Resistance) 영역으로 작용한다는 원리를 시각화하는 데 있습니다. 실제 시장에서 이러한 CME 갭은 높은 확률로 미래에 "매꿔지거나" 중요한 반응 구간으로 기능하여 트레이더에게 귀중한 진입/퇴출 신호를 제공합니다.
─────────────────────────────────────
◆ 주요 특징
• 전방위 갭 감지: 모든 시장 조건에서 발생하는 갭을 감지
- 주말/공휴일 휴장 갭
- 평일 1시간 휴장 시간 갭
- 경제지표/뉴스 이벤트 시 급격한 가격 변동 갭
• 직관적 색상 구분:
- 파란색: 갭이 지지 역할을 할 때(가격이 갭 위에 있을 때)
- 빨간색: 갭이 저항 역할을 할 때(가격이 갭 아래에 있을 때)
- 회색: 이미 매꿔진 갭(가격이 갭 영역을 완전히 통과)
• 실시간 역할 전환: 가격이 갭 위/아래로 이동함에 따라 지지↔저항 역할 전환을 자동으로 색상 변경으로 시각화
• 상태 추적 시스템: 갭이 "매꿔짐(Filled)" 또는 "매꿔지지 않음(Unfilled)" 상태를 자동 추적
• 다이나믹 박스: 갭 영역을 명확한 박스로 표시하고 가격 움직임에 따라 동적으로 색상 변경
• 정밀 레이블링: 각 갭의 가격 범위를 정확히 표시하여 트레이더의 의사결정 지원
• 스마트 필터링: 연속적 갭 감지 문제를 해결하는 개선된 알고리즘으로 누락 없는 갭 추적
• 핵심 활용 포인트:
- 가격이 갭 영역에 접근할 때 특별히 주목하세요
- 갭 색상 변경 시점은 중요한 시장 심리 변화 신호입니다
- 여러 갭이 밀집된 영역은 특히 강한 반응이 예상되는 구간입니다
─────────────────────────────────────
◆ 사용 가이드: 색상으로 이해하는 갭 역할
■ 색상 시스템 해석법
• 파란색 갭 (지지 역할):
▶ 의미: 현재 가격이 갭 위에 있어 갭이 지지선으로 작용
▶ 트레이딩 응용: 가격이 파란색 갭 영역으로 하락 접근 시 매수 기회 고려
▶ 심리적 의미: 매수세력이 이 가격대에서 수요 증가 가능성
• 빨간색 갭 (저항 역할):
▶ 의미: 현재 가격이 갭 아래에 있어 갭이 저항선으로 작용
▶ 트레이딩 응용: 가격이 빨간색 갭 영역으로 상승 접근 시 매도 기회 고려
▶ 심리적 의미: 매도세력이 이 가격대에서 공급 증가 가능성
• 회색 갭 (매꿔진 갭):
▶ 의미: 가격이 갭 영역을 완전히 통과하여 갭이 매꿔진 상태
▶ 참조 가치: 과거 중요 반응 구간으로 여전히 참고 가치 있음
▶ 트레이딩 응용: 추세 강도 확인 및 주요 심리적 레벨 식별에 활용
■ 색상 전환 이해하기
• 파란색 → 빨간색 전환:
▶ 의미: 가격이 갭 아래로 하락하여 갭이 지지에서 저항으로 역할 변경
▶ 시장 해석: 이전 지지선 붕괴로 약세 신호 강화
▶ 트레이딩 응용: 추가 하락 가능성 고려, 반등 시 갭 하단 저항 확인
• 빨간색 → 파란색 전환:
▶ 의미: 가격이 갭 위로 상승하여 갭이 저항에서 지지로 역할 변경
▶ 시장 해석: 이전 저항선 돌파로 강세 신호 강화
▶ 트레이딩 응용: 추가 상승 가능성 고려, 조정 시 갭 상단 지지 확인
─────────────────────────────────────
◆ 실전 활용 가이드
■ 기본 트레이딩 시나리오
• 파란색 갭 지지 전략:
▶ 진입 시점: 가격이 파란색 갭 상단에 접근하여 반등 캔들 형성 시
▶ 손절 위치: 갭 하단 아래(갭 완전히 하향 돌파 시)
▶ 이익실현: 이전 스윙 고점 또는 상방 다음 저항선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매도 RSI, 강한 반등 캔들
• 빨간색 갭 저항 전략:
▶ 진입 시점: 가격이 빨간색 갭 하단에 접근하여 거부 캔들 형성 시
▶ 손절 위치: 갭 상단 위(갭 완전히 상향 돌파 시)
▶ 이익실현: 이전 스윙 저점 또는 하방 다음 지지선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매수 RSI, 강한 거부 캔들
■ 고급 패턴 활용법
• 다중 갭 클러스터 식별:
▶ 여러 갭이 근접한 가격대에 있다면 더욱 강력한 지지/저항 존
▶ 동일 색상 갭 클러스터: 매우 강력한 단일 방향 반응 구간
▶ 색상 혼합 갭 클러스터: 심한 변동성과 양방향 반응 예상 구간
• 갭 시퀀스 분석:
▶ 연속적인 동일 방향 갭: 강한 추세 확인 신호
▶ 갭 크기 증가 패턴: 추세 가속화 신호
▶ 갭 크기 감소 패턴: 추세 약화 신호
• 뉴스/지표 발표 후 갭 활용:
▶ 경제지표 발표 직후 형성된 갭: 시장 충격 강도 측정
▶ 갭 색상 변화 관찰: 시장의 뉴스 재해석 과정 파악
▶ 갭 매꿈 속도 분석: 뉴스 임팩트의 지속성 평가
• 핵심 주목 포인트:
▶ 가격이 갭 영역에 접근할 때마다 차트를 특별히 주목하세요
▶ 갭 색상이 변경되는 시점은 중요한 시장 심리 변화를 의미합니다
▶ 여러 갭이 밀집된 영역은 가격이 강하게 반응할 가능성이 높습니다
─────────────────────────────────────
◆ 기술적 기반
■ CME 갭의 발생 원리
• 주요 갭 발생 상황:
▶ 주말 휴장 (금요일 종가 → 월요일 시가): 가장 일반적인 CME 갭 형성 시점
▶ 공휴일 휴장: 미국 공휴일에 따른 CME 휴장 시 발생
▶ 평일 1시간 휴장: CME 시장의 일일 정비 시간(16:00~17:00 CT) 동안 발생
▶ 주요 경제지표 발표: 미 고용지표, FOMC 결정, CPI 등 발표 시 급격한 가격 변동으로 인한 갭
▶ 중요 뉴스 이벤트: 규제 발표, 지정학적 이벤트, 시장 충격 등으로 인한 급격한 가격 변화
• 갭의 심리적 중요성:
▶ 가격 형성이 이루어지지 않은 구간으로, 매수/매도 세력의 불균형 영역
▶ 갭 구간에는 실제 거래가 없었기 때문에 잠재적 주문이 누적되는 영역
▶ 기관 투자자들의 선물 포지션과 유동성 분포가 반영된 중요한 가격 레벨
■ 지지/저항으로 작용하는 원리
• 심리적 레벨 형성 메커니즘:
▶ 갭 구간의 미실행 주문 축적: 갭 발생 시 해당 가격대에 대한 주문 기회 상실
▶ 유동성 불균형: 갭 구간에는 거래가 없었으므로 유동성 공백 발생
▶ 기관 투자자 활동: CME 선물 시장의 기관 참여자들은 이러한 갭 영역에 관심
• 지지/저항 작용 증거:
▶ 통계적 갭 필 현상: 대부분의 갭은 미래에 "매꿔짐"(가격이 갭 구간으로 회귀)
▶ 갭 기반 반응: 갭 영역에 도달 시 가격 반응(반등/거부) 발생 빈도 증가
▶ 시장 심리 영향: 트레이더들의 인지된 가치와 공정가격 평가에 영향
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◆ 고급 설정 옵션
■ 시각화 설정
• 라벨 표시 설정 (Show Gap Labels) (기본값: 켜짐)
▶ 켜짐: 각 갭의 가격 범위를 숫자로 표시하여 정확한 지지/저항 레벨 확인
▶ 꺼짐: 시각적 깔끔함을 위해 라벨 숨김
• 색상 설정
▶ 매꿔진 갭 색상(Filled Gap Color): 회색 계열, 이미 가격이 통과한 갭 표시
▶ 미매꿔진 갭 색상 - 지지(Support): 파란색, 현재 지지 역할을 하는 갭
▶ 미매꿔진 갭 색상 - 저항(Resistance): 빨간색, 현재 저항 역할을 하는 갭
■ 데이터 관리 설정
• 매꿔진 갭 저장 한도 (Filled Gap Storage Limit) (기본값: 10)
▶ 이미 매꿔진 갭을 최대 몇 개까지 차트에 유지할지 설정
▶ 권장 설정: 단기 트레이더(5-8), 스윙 트레이더(8-12), 포지션 트레이더(10-15)
• 최대 갭 보관 기간 (Maximum Gap Retention Period) (기본값: 12개월)
▶ 오래된 미매꿔진 갭을 자동으로 제거하는 기간 설정
▶ 권장 설정: 단기 분석(3-6개월), 중기 분석(6-12개월), 장기 분석(12-24개월)
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◆ 다른 지표와의 시너지
• 볼륨 프로파일: CME 갭과 볼륨 프로파일의 밸류 영역 일치 시 반응 확률 크게 증가
• 피보나치 리트레이스먼트: 주요 피보나치 레벨과 갭 영역 일치 시 강력한 반응 존 형성
• 이동평균선: 주요 이동평균선과 CME 갭이 겹치는 영역은 "복합 지지/저항"으로 작용
• 수평 지지/저항: 과거 중요 가격대와 CME 갭 일치 시 매우 강력한 가격 반응 예상 가능
• 시장 심리 지표(RSI/MACD): 갭 영역 접근 시 과매수/과매도 확인으로 반응 가능성 판단
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◆ 결론
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 단순한 갭 표시 도구가 아닌, 가격이 강하게 반응할 수 있는 중요한 지지/저항 영역을 직관적인 색상 코드(파란색=지지, 빨간색=저항)로 시각화하는 고급 분석 도구입니다. 주말과 공휴일 휴장 시간뿐만 아니라, 평일 1시간 휴장 시간, 중요 경제지표 발표, 그리고 시장 충격 상황에서 발생하는 모든 유형의 갭을 누락 없이 감지합니다.
인디케이터의 핵심 가치는 갭이 단순한 가격 불연속성이 아닌, 미래 가격 행동에 중요한 영향을 미치는 심리적 지지/저항 영역임을 직관적인 색상 코드로 명확히 표현하는 데 있습니다. 파란색 갭은 지지 역할을, 빨간색 갭은 저항 역할을 하는 영역을 즉각적으로 식별할 수 있어 트레이더가 빠르고 효과적인 의사결정을 내릴 수 있도록 도와줍니다.
갭 영역에 접근할 때마다 색상 코드를 참고하여 가능한 가격 반응을 예측하고, 특히 색상 전환이 일어나는 순간(파란색→빨간색 또는 빨간색→파란색)은 중요한 시장 심리 변화 신호로 해석하여 트레이딩 전략에 통합한다면, 더 높은 확률의 거래 기회를 포착할 수 있을 것입니다.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME Gap Detector는 보조 지표로 사용되어야 하며 단독으로 거래 결정을 내리는 데 사용해서는 안 됩니다. 과거의 갭 반응 패턴이 미래에도 동일하게 작용한다고 보장할 수 없습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
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