Support and Resistance [Jamshid]๐ Support & Resistance
This indicator automatically identifies high-quality Support and Resistance zones using volume-weighted pivot levels. It visualizes price structure with adaptive volume boxes, breakout & retest signals, higher timeframe confirmation, and optional volume profile.
โ
Core Features
๐น 1. Smart Support & Resistance Zones (Volume-Based)
Detects pivot highs/lows with strong volume.
Boxes expand dynamically using ATR.
Zones display actual volume value.
Color intensity reflects volume strength.
๐น 2. Breakouts & Retests
โBreak Sup / Break Resโ labels on structure breaks.
Detects when old resistance becomes support (RโS).
Detects when old support becomes resistance (SโR).
Retest labels and diamond markers for holds.
๐น 3. Volume Profile (Optional)
Shows mini horizontal volume bars at each zone.
Separate bullish/bearish volume distribution.
Adjustable rows and lookback.
๐น 4. Higher Timeframe Confluence (Optional)
Check if current S/R aligns with HTF levels:
5m, 15m, 30m, 1H, 4H, Daily
Modes:
โ
Show All + HTF Labels
โ
Filter Only HTF Confirmed Levels
HTF confirmations shown directly on zone labels.
Tolerance setting for price matching.
๐น 5. Breaker Blocks (Failed S/R Reversal Zones)
Identifies bullish/bearish breaker zones.
Highlights breaker blocks on chart.
Optional labels and zone coloring.
๐ฏ Visual Alerts & Signals
โ
Breakouts (Support & Resistance)
โ
Retests (Hold without breakout)
โ
Role Reversal (RโS and SโR)
โ
Potential Bullish / Bearish Breakers
โ
Diamonds for hold/retest structure
โ
Labels with volume + timeframe confirmations
Every signal also has a built-in alertcondition so you can automate notifications.
โ๏ธ Customizable Settings
๐ข Main
Lookback period
Volume filter length
Box width multiplier
๐จ Visual
Show or hide labels, diamonds, retest labels
Label size
๐ฆ Breaker Blocks
Enable/disable breaker blocks
Show zones & labels
Custom colors
๐ Volume Profile
Enable/disable
Rows, lookback length
Bull/Bear color
โณ Higher Timeframe Filtering
Turn HTF logic on/off
Select which timeframes to compare
Filter mode or label mode
Price matching tolerance (%)
โ
Why this indicator is unique
โ Combines price structure + volume + HTF confluence
โ Automatically adapts S/R strength using volume data
โ Shows role reversal and breaker logic
โ Smart visual alerts & automation support
โ Highly customizable for any strategy or timeframe
๐ก How to Use
Add the indicator to any chart or timeframe.
Look for high-volume S/R zones (darker colors = stronger).
Watch for:
Breakouts (trend continuation or reversal)
Retests (strong confirmations)
HTF confluence (higher probability)
Breaker blocks (failed level reversal)
Optionally enable alerts for automation or notifications.
******************************************************************
โ ๏ธ Dangers of Trading
1๏ธโฃ You can lose money very fast
Markets move quickly, and leverage makes losses even faster. Even experienced traders go through drawdowns.
2๏ธโฃ Emotional decisions ruin accounts
Fear (selling too early) and greed (holding too long or overtrading) cause most losses. Trading is more psychological than technical.
3๏ธโฃ Overconfidence after small wins
Many traders win at the beginning and believe they โmasteredโ the market, then take big risks and blow the account.
4๏ธโฃ No system = gambling
If you trade without clear rules and risk management, youโre not tradingโyouโre gambling.
5๏ธโฃ Market is not fair
Smart money, institutions, HFT algorithms, and stop-hunts exist. Retail traders are often the liquidity for bigger players.
6๏ธโฃ News/Unexpected events
Unpredictable events (CPI, FOMC, war, tweets, etc.) can instantly move the market against your position.
โ
Advice for Safer & Smarter Trading
โ
1. Protect your capital first
Your number one job is to survive.
Never risk more than 1โ2% per trade.
โ
2. Have a written trading plan
Define:
When to enter
When to exit
How much to risk
What conditions must be present
If your plan is not written, you donโt have a plan.
โ
3. Use Stop Loss always
No stop loss = account suicide.
Even professional traders are wrong sometimes.
โ
4. Focus on one strategy (mastery > trying everything)
Jumping from one strategy to another causes confusion. One good strategy with discipline beats five strategies with no consistency.
โ
5. Trade with the trend and higher timeframe direction
Trading against HTF structure is fighting the market.
โ
6. Control emotions like a machine
Biggest trader enemies:
Overtrading
Revenge trading
Fear of missing out (FOMO)
When emotions are strong โ stop trading.
โ
7. Be patient (best skill of a trader)
Sometimes the best trade is no trade.
Professional traders wait for high-probability setups.
โ
8. Backtest and demo before using real money
If it doesnโt make money in backtesting or demo, it wonโt magically work live.
โ
9. Accept losses (they are part of the game)
Even the best traders lose. The key is small losses, big wins.
โ
10. Keep learning forever
Market changes. What works today may not work tomorrow. Study price action, volume, psychology, risk management.
๐ง Final Truths:
โ
Trading is a business, not easy money
โ
Winning rate doesnโt matterโrisk/reward matters
โ
Consistency > luck
โ
Discipline > knowledge
โ
Survival > profit
Search in scripts for "volume profile"
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis
Overview
The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time.
Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning.
What Makes This Indicator Unique
1. Multi-Timeframe Volume Delta Precision
The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators.
2. Real-Time Updates
Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen.
3. Market Flow Analysis
The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions.
4. Adaptive Visual Intensity
The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity.
5. Complete Customization
Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs.
6.All In One Solution
6 Metrics in one indicator no more using 5 different indicators.
Core Features Explained
DELTA (Volume Delta)
What it shows: Net difference between aggressive buy volume and aggressive sell volume
Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers
Interpretation:
Positive values indicate aggressive buying pressure
Negative values indicate aggressive selling pressure
Magnitude indicates the strength of directional pressure
OI ฮ (Open Interest Change)
What it shows: Change in open interest from the previous bar
Data source: Fetches open interest data using the "_OI" symbol suffix
Interpretation:
Positive values indicate new positions entering the market
Negative values indicate positions being closed
Combined with price direction, reveals market participant behavior
L/S (Net Long/Short Bias)
What it shows: Estimated net change in long vs short market positions
Calculation method: Combines open interest changes with price/volume direction using configurable logic
Scenarios analyzed:
New Longs: Rising OI + Rising Price/Volume = Long position accumulation
Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits
New Shorts: Rising OI + Falling Price/Volume = Short position accumulation
Covered Shorts: Falling OI + Rising Price/Volume = Short position exits
Result: Net bias toward long (positive) or short (negative) market sentiment
TOTAL (Total Volume)
What it shows: Standard volume for the current bar
Purpose: Provides context for other metrics and baseline activity measurement
Enhanced display: Uses gradient intensity based on recent volume history
BUY (Estimated Buy Volume)
What it shows: Estimated aggressive buy volume
Calculation: (Total Volume + Delta) / 2
Use case: Helps quantify the actual buying pressure in monetary/contract terms
SELL (Estimated Sell Volume)
What it shows: Estimated aggressive sell volume
Calculation: (Total Volume - Delta) / 2
Use case: Helps quantify the actual selling pressure in monetary/contract terms
Configuration Options
Timeframe Settings
Custom Timeframe Toggle: Enable/disable custom lower timeframe selection
Timeframe Selection: Choose the precision level for volume delta calculations
Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe
Net Positions Calculation
Direction Method: Choose between Price-based or Volume Delta-based direction determination
Value Method: Select between Open Interest Change or Volume for position size calculations
Display Customization
Row Order: Completely customize which metrics appear and in what order (6 positions available)
Color Schemes: Individual color selection for positive/negative values of each metric
Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations
Visual Elements
Box Format: Clean, professional box display with clear labels
Color Coding: Intuitive color schemes with customizable transparency gradients
Real-time Updates: Live updating for developing candles with historical stability
How to Use This Indicator
For Day Traders
Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta
Entry Timing: Watch for volume delta divergences at key levels to time entries
Exit Signals: Monitor when aggressive volume shifts against your position
For Swing Traders
Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing
Open Interest Analysis: Use OI ฮ to confirm whether moves are backed by new money or position adjustments
Trend Validation: Combine multiple metrics to validate trend strength and sustainability
For Scalpers
Real-time Edge: Utilize the live updates to see developing imbalances before bar completion
Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment
Volume Profile: Use TOTAL volume context for optimal entry/exit sizing
Setup Recommendations
Futures Markets: Enable OI tracking and use Volume Delta direction method
Crypto Markets: Focus on DELTA and volume metrics; OI may not be available
Stock Markets: Use Price direction method with volume value calculations
High-Frequency Analysis: Set lower timeframe to 1S for maximum precision
Technical Implementation
Data Accuracy
Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification
Implements error checking for data availability
Handles missing data gracefully with fallback calculations
Performance Optimization
Efficient array management with configurable lookback periods
Smart box creation and deletion to prevent memory issues
Optimized real-time updates without historical data corruption
Compatibility
Works on all timeframes from seconds to daily
Compatible with futures, forex, crypto, and stock markets
Automatically adjusts calculation methods based on available data
Risk Disclaimers
This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should:
Combine with other forms of analysis
Practice proper risk management
Understand that past performance doesn't predict future results
Be aware that volume delta and open interest data quality varies by market and data provider
Conclusion
The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
52SIGNAL RECIPE Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
โ Overview
52SIGNAL RECIPE Whale Smart Money Detector is an innovative indicator that detects the movements of whales (large investors) in the cryptocurrency market in real-time. This powerful tool tracks large-scale trading activities that significantly impact the market, providing valuable signals before important market direction changes occur. It can be applied to any cryptocurrency chart, allowing traders to follow the movements of big money anytime, anywhere.
The unique strength of this indicator lies in its comprehensive analysis of volume surges, price volatility, and trend strength to accurately capture whale market entries and exits. By providing clear visual representation of large fund flow data that is difficult for ordinary traders to detect, you gain the opportunity to move alongside the big players in the market.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
โข Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
โข Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
โข Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
โข Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
โข Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
โข Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
โข Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Signal Types
โ Whale Buy Signal
โข Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
โข Visual Representation: Translucent blue bar coloring with "๐Whale Buying Detected!" label on the candle where the buy signal occurs
โข Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
โ Whale Sell Signal
โข Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
โข Visual Representation: Translucent pink bar coloring with "๐Whale Selling Detected!" label on the candle where the sell signal occurs
โข Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Understanding Trend Analysis
โ Trend Analysis Method
โข Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
โข Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
โข Calculation Method:
โถ Buy ratio = (Number of up candles) / (Total analysis period)
โถ Sell ratio = (Number of down candles) / (Total analysis period)
โถ Current trend determined by the dominant ratio as "BULLISH" or "BEARISH"
โ Trend Utilization Methods
โข Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
โข Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
โข Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
โข Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Indicator Settings Guide
โ Key Setting Parameters
โข Volume Impact Factor:
โถ Purpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
โถ Lower values: Generate more signals, detect smaller whales
โถ Higher values: Fewer signals, detect only very large whales
โถ Recommended range: 2.0-4.0 (adjust according to market conditions)
โข Sensitivity Factor:
โถ Purpose: Adjusts sensitivity of price movement relative to normal volatility
โถ Lower values: Increased sensitivity, more signals generated
โถ Higher values: Decreased sensitivity, only stronger price impacts detected
โถ Recommended range: 0.2-0.5 (set higher in highly volatile markets)
โข Trend Analysis Period:
โถ Purpose: Sets the number of candles to calculate buy/sell ratios
โถ Lower values: More responsive to recent trends
โถ Higher values: More stable analysis considering longer-term trends
โถ Recommended range: 30-70 (adjust according to trading style)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Key Support/Resistance Levels:
โถ Whale signals occurring near important technical levels have higher reliability
โถ Coincidence of weekly/monthly pivot points and whale signals confirms important price points
โข Moving Averages:
โถ Pay attention to whale signals near key moving averages (50MA, 200MA)
โถ Simultaneous occurrence of moving average breakouts and whale signals indicates important technical events
โข Volume Profile:
โถ Whale activity near high volume nodes confirms important price levels
โถ Whale signals at low volume nodes may indicate possibility of rapid price movements
โข Volatility Indicators:
โถ Whale signals after periods of low volatility may mark the beginning of new market movements
โถ Whale signals after Bollinger Band contraction may be precursors to large movements
โข Market Structure:
โถ Whale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
โถ Coincidence of market structure changes and whale activity may signal important trend changes
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Conclusion
52SIGNAL RECIPE Whale Smart Money Detector tracks the trading activities of large investors in the cryptocurrency market in real-time, providing traders with valuable insights. Because it can be applied to any cryptocurrency chart, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of large fund flows that are easily missed by ordinary traders. By comprehensively analyzing volume surges, immediate price impacts, and trend continuity to accurately capture whale activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals and real-time trend strength measurements help traders quickly grasp market conditions and understand market direction. By integrating this powerful tool into your trading system, gain insights into where the market's smart money is flowing for better market understanding.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป Disclaimer: Like all trading tools, the 52SIGNAL RECIPE Whale Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of whale behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
52SIGNAL RECIPE Whale Smart Money Detector
โ ๊ฐ์
52SIGNAL RECIPE Whale Smart Money Detector๋ ์ํธํํ ์์ฅ์์ ๊ณ ๋(๋ํ ํฌ์์)์ ์์ง์์ ์ค์๊ฐ์ผ๋ก ๊ฐ์งํ๋ ํ์ ์ ์ธ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ์์ฅ์ ํฐ ์ํฅ์ ๋ฏธ์น๋ ๋๊ท๋ชจ ํธ๋ ์ด๋ฉ ํ๋์ ์ถ์ ํ์ฌ ์ค์ํ ์์ฅ ๋ฐฉํฅ ์ ํ์ด ์ผ์ด๋๊ธฐ ์ ์ ๊ท์คํ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ๋ชจ๋ ์ํธํํ ์ฐจํธ์ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ํธ๋ ์ด๋๋ค์ด ์ธ์ ์ด๋์๋ ๋ํ ์๊ธ์ ์์ง์์ ๋ฐ๋ผ๊ฐ ์ ์๊ฒ ํด์ค๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ๊ฐ์ ์ ๊ฑฐ๋๋ ๊ธ์ฆ, ๊ฐ๊ฒฉ ๋ณ๋์ฑ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ณ ๋์ ์์ฅ ์ง์
๊ณผ ํด์ถ์ ์ ํํ ํฌ์ฐฉํ๋ค๋ ์ ์
๋๋ค. ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ๋์น๊ธฐ ์ฌ์ด ๋ํ ์๊ธ์ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ช
ํํ๊ฒ ์ ๊ณตํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ๊ณ ๋ ํ๋ ๊ฐ์ง ์์คํ
: ๊ฑฐ๋๋ ๊ธ์ฆ๊ณผ ๊ฐ๊ฒฉ ์ํฉํธ๋ฅผ ๋ถ์ํ์ฌ ๋ํ ํฌ์์์ ์์ง์์ ์ค์๊ฐ์ผ๋ก ํฌ์ฐฉ
โข ์ ๋ฐํ ๊ฑฐ๋๋ ๋ถ์: ์ผ๋ฐ ๊ฑฐ๋๋๊ณผ ๊ณ ๋ ๊ฑฐ๋๋์ ๊ตฌ๋ถํ์ฌ ์๋ฏธ ์๋ ์์ฅ ์์ง์๋ง ์ถ์
โข ์์ฅ ์ํฅ๋ ฅ ์ธก์ : ๊ณ ๋์ ๋งค์/๋งค๋๊ฐ ์์ฅ์ ๋ฏธ์น๋ ์ค์ง์ ์ํฅ๋ ฅ์ ์์นํํ์ฌ ๋ถ์
โข ์ฐ์์ฑ ์ถ์ : ๊ณ ๋ ํ๋ ์ดํ ์์ฅ ๋ฐฉํฅ์ ์ง์์ฑ์ ์ถ์ ํ์ฌ ์ ํธ์ ์ ํจ์ฑ ํ์ธ
โข ์ง๊ด์ ์๊ฐํ: ์ปฌ๋ฌ ๋ฐ ์ฐจํธ์ ๋ช
ํํ ๋ผ๋ฒจ์ ํตํด ๊ณ ๋ ํ๋ ์ง์ ์ ์ฝ๊ฒ ์๋ณ
โข ์ถ์ธ ๊ฐ๋ ํ์: ํ์ฌ ์์ฅ์ ๋งค์/๋งค๋ ๊ฐ๋๋ฅผ ์ค์๊ฐ์ผ๋ก ๊ณ์ฐํ์ฌ ํ
์ด๋ธ์ ํ์
โข ๊ณ ๋ ์ ํธ ํํฐ๋ง: ์ง์ ํ ๊ณ ๋ ํ๋๋ง ๊ฐ์งํ๋๋ก ๋ค์ค ํํฐ๋ง ์์คํ
์ ์ฉ
โข ๋ง์ถคํ ๊ฐ๋ ์ค์ : ์์ฅ ์ํฉ์ ๋ฐ๋ผ ๊ณ ๋ ๊ฐ์ง ๊ฐ๋๋ฅผ ์กฐ์ ํ ์ ์๋ ์ ์ฐํ ํ๋ผ๋ฏธํฐ ์ ๊ณต
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๊ณ ๋ ๋งค์ ์ ํธ
โข ์ ์: ๊ฑฐ๋๋์ด ํ๊ท ๋ณด๋ค ํฌ๊ฒ ์ฆ๊ฐํ๊ณ , ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ด ํฌ๋ฉฐ, ๊ฐ๊ฒฉ์ด ์ ์ ๋ณ๋์ฑ์ ์ด๊ณผํ์ฌ ์์นํ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค์ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
ํ๋์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "๐Whale Buying Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๋ํ ์๊ธ์ด ์ ๊ทน์ ์ผ๋ก ์ฝ์ธ์ ๋งค์ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ์์น์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โ ๊ณ ๋ ๋งค๋ ์ ํธ
โข ์ ์: ๊ฑฐ๋๋์ด ํ๊ท ๋ณด๋ค ํฌ๊ฒ ์ฆ๊ฐํ๊ณ , ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ด ํฌ๋ฉฐ, ๊ฐ๊ฒฉ์ด ์ ์ ๋ณ๋์ฑ์ ์ด๊ณผํ์ฌ ํ๋ฝํ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค๋ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
๋ถํ์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "๐Whale Selling Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๋ํ ์๊ธ์ด ์ ๊ทน์ ์ผ๋ก ์ฝ์ธ์ ๋งค๋ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ํ๋ฝ์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ถ์ธ ๋ถ์ ์ดํดํ๊ธฐ
โ ์ถ์ธ ๋ถ์ ๋ฐฉ์
โข ์ ์: ์ค์ ๋ ๊ธฐ๊ฐ ๋์์ ์์น/ํ๋ฝ ์บ๋ค ๋น์จ์ ๋ถ์ํ์ฌ ์์ฅ์ ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ธก์
โข ์๊ฐ์ ํํ: ํ
์ด๋ธ์ "BUY"์ "SELL" ๋น์จ์ด ๋ฐฑ๋ถ์จ๋ก ํ์๋๋ฉฐ, ํ์ฌ ์ถ์ธ๊ฐ "BULLISH", "BEARISH" ๋๋ "NEUTRAL"๋ก ๋ช
ํํ๊ฒ ํ์๋จ
โข ๊ณ์ฐ ๋ฐฉ์:
โถ ๋งค์ ๋น์จ = (์์น ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ๋งค๋ ๋น์จ = (ํ๋ฝ ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ์ฐ์ธํ ๋น์จ์ ๋ฐ๋ผ "BULLISH" ๋๋ "BEARISH" ์ถ์ธ ๊ฒฐ์
โ ์ถ์ธ ํ์ฉ ๋ฐฉ๋ฒ
โข ๊ณ ๋ ์ ํธ ํ์ธ: ๊ณ ๋ ์ ํธ๊ฐ ํ์ฌ ์ถ์ธ์ ์ผ์นํ ๋ ์ ํธ์ ์ ๋ขฐ๋๊ฐ ๋์์ง
โข ๋ฐ์ ํฌ์ธํธ ์๋ณ: ๊ฐํ ์ถ์ธ ์์์ ๋ฐ์ํ๋ ๋ฐ๋ ๋ฐฉํฅ์ ๊ณ ๋ ์ ํธ๋ ์ค์ํ ๋ฐ์ ํฌ์ธํธ์ผ ์ ์์
โข ์์ฅ ๊ฐ๋ ํ๊ฐ: ๋งค์/๋งค๋ ๋น์จ์ ํตํด ํ์ฌ ์์ฅ์ ์ธ๋ ฅ ๊ท ํ ํ์
โข ์ ํธ ๋ฐ์ ๋งฅ๋ฝ ์ดํด: ์ถ์ธ ์ ๋ณด์ ๊ณ ๋ ์ ํธ๋ฅผ ํจ๊ป ๊ณ ๋ คํ์ฌ ๋ ๋์ ์์ฅ ์ปจํ
์คํธ์์ ํด์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์ ๋งค๊ฐ๋ณ์
โข Volume Impact Factor (๊ฑฐ๋๋ ์ํฉํธ ์์):
โถ ๋ชฉ์ : ๊ณ ๋ ํ๋์ผ๋ก ๊ฐ์ฃผํ ์ฆ๊ฐ์ ์ธ ๊ฑฐ๋๋ ์ถฉ๊ฒฉ์ ์ต์ ๋ฐฐ์ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ ์์ฑ, ์์ ๊ณ ๋๋ ๊ฐ์ง
โถ ๋์ ๊ฐ: ๋ ์ ์ ์ ํธ, ๋งค์ฐ ํฐ ๊ณ ๋๋ง ๊ฐ์ง
โถ ๊ถ์ฅ ๋ฒ์: 2.0-4.0 (์์ฅ ์ํฉ์ ๋ฐ๋ผ ์กฐ์ )
โข Sensitivity Factor (๋ฏผ๊ฐ๋ ์์):
โถ ๋ชฉ์ : ์ ์ ๋ณ๋์ฑ ๋๋น ๊ฐ๊ฒฉ ๋ณ๋์ ๋ฏผ๊ฐ๋ ์กฐ์
โถ ๋ฎ์ ๊ฐ: ๋ฏผ๊ฐ๋ ์ฆ๊ฐ, ๋ ๋ง์ ์ ํธ ์์ฑ
โถ ๋์ ๊ฐ: ๋ฏผ๊ฐ๋ ๊ฐ์, ๋ ๊ฐํ ๊ฐ๊ฒฉ ์ถฉ๊ฒฉ๋ง ๊ฐ์ง
โถ ๊ถ์ฅ ๋ฒ์: 0.2-0.5 (๋ณ๋์ฑ์ด ๋์ ์์ฅ์์๋ ๋๊ฒ ์ค์ )
โข Trend Analysis Period (์ถ์ธ ๋ถ์ ๊ธฐ๊ฐ):
โถ ๋ชฉ์ : ๋งค์/๋งค๋ ๋น์จ์ ๊ณ์ฐํ ์บ๋ค ์ ์ค์
โถ ๋ฎ์ ๊ฐ: ์ต๊ทผ ์ถ์ธ์ ๋ ๋ฏผ๊ฐํ๊ฒ ๋ฐ์
โถ ๋์ ๊ฐ: ๋ ๊ธด ๊ธฐ๊ฐ์ ์ถ์ธ๋ฅผ ๊ณ ๋ คํ์ฌ ์์ ์ ์ธ ๋ถ์
โถ ๊ถ์ฅ ๋ฒ์: 30-70 (ํธ๋ ์ด๋ฉ ์คํ์ผ์ ๋ฐ๋ผ ์กฐ์ )
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ฃผ์ ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ค์ํ ๊ธฐ์ ์ ๋ ๋ฒจ ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๋ ๋์ ์ ๋ขฐ๋๋ฅผ ๊ฐ์ง
โถ ์ฃผ๊ฐ/์๊ฐ ํผ๋ด ํฌ์ธํธ์ ๊ณ ๋ ์ ํธ์ ์ผ์น๋ ์ค์ํ ๊ฐ๊ฒฉ ์ง์ ์ ํ์ธํด์ค
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ์ ์ฃผ๋ชฉ
โถ ์ด๋ํ๊ท ์ ๋ํ์ ๊ณ ๋ ์ ํธ๊ฐ ๋์ ๋ฐ์ ์ ์ค์ํ ๊ธฐ์ ์ ์ด๋ฒคํธ ํ์ธ
โข ๋ณผ๋ฅจ ํ๋กํ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋ ๊ทผ์ฒ์์์ ๊ณ ๋ ํ๋์ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ ํ์ธ
โถ ๋ฎ์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ์ด๋ ๊ฐ๋ฅ์ฑ ์์
โข ๋ณ๋์ฑ ์งํ:
โถ ๋ฎ์ ๋ณ๋์ฑ ๊ตฌ๊ฐ ์ดํ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ์๋ก์ด ์์ฅ ์์ง์์ ์์์ผ ์ ์์
โถ ๋ณผ๋ฆฐ์ ๋ฐด๋ ์์ถ ํ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ํฐ ์์ง์์ ์ ์กฐ์ผ ์ ์์
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ(๋์ ๊ณ ์ /์ ์ , ๋ฎ์ ๊ณ ์ /์ ์ ) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ณ ๋ ์ ํธ๋ ๊ตฌ์กฐ ๋ณํ ์์
โถ ์์ฅ ๊ตฌ์กฐ ๋ณํ์ ๊ณ ๋ ํ๋์ ์ผ์น๋ ์ค์ํ ํธ๋ ๋ ๋ณํ ์ ํธ์ผ ์ ์์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE Whale Smart Money Detector๋ ์ํธํํ ์์ฅ์์ ๋ํ ํฌ์์๋ค์ ๊ฑฐ๋ ํ๋์ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ๊ท์คํ ํต์ฐฐ๋ ฅ์ ์ ๊ณตํฉ๋๋ค. ๋ชจ๋ ์ํธํํ ์ฐจํธ์ ์ ์ฉ ๊ฐ๋ฅํ๊ธฐ ๋๋ฌธ์, ์ฌ๋ฌ๋ถ์ด ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ๋ฐ๋ก ํ์ฉํ ์ ์์ต๋๋ค.
์ด ์งํ์ ํต์ฌ ๊ฐ์น๋ ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ๋์น๊ธฐ ์ฌ์ด ๋ํ ์๊ธ์ ํ๋ฆ์ ์ง๊ด์ ์ผ๋ก ์๊ฐํํ์ฌ ์ ๊ณตํ๋ค๋ ์ ์
๋๋ค. ๊ฑฐ๋๋ ๊ธ์ฆ, ์ฆ๊ฐ์ ์ธ ๊ฐ๊ฒฉ ์ถฉ๊ฒฉ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ์ง์์ฑ์ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ณ ๋์ ํ๋์ ์ ํํ ํฌ์ฐฉํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ์์ง์ด๋ ํฐ ์๋ค๊ณผ ํจ๊ปํ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
๋ช
ํํ ๋งค์/๋งค๋ ์ ํธ์ ์ค์๊ฐ ์ถ์ธ ๊ฐ๋ ์ธก์ ์ ํธ๋ ์ด๋๋ค์ด ์์ฅ ์ํฉ์ ํ๋์ ํ์
ํ๊ณ ์์ฅ์ ๋ฐฉํฅ์ฑ์ ์ดํดํ๋ ๋ฐ ๋์์ ์ค๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ฅผ ์ฌ๋ฌ๋ถ์ ํธ๋ ์ด๋ฉ ์์คํ
์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ์ ์ค๋งํธ ๋จธ๋๊ฐ ์ด๋๋ก ํ๋ฌ๊ฐ๋์ง ํ์
ํ๊ณ ๋ ๋์ ํต์ฐฐ๋ ฅ์ ์ป์ผ์ธ์.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, 52SIGNAL RECIPE Whale Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉํด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ณ ๋ ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ํ์ฉํ์ธ์.
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (๐):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (๐ง):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (๐ฆ):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (โ๏ธ):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (๐ก๏ธ):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. Itโs designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
52SIGNAL RECIPE Smart Money Detector : CME + Exchanges=================52SIGNAL RECIPE CME-Exchange Smart Money Detector=================
โ 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.
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โ Key Features
โข Dual Market Confirmation: Simultaneously analyzes both CME Bitcoin futures and exchange futures charts to identify synchronized smart money activity
โข Smart Volume Analysis: Uses advanced algorithms to separate buying and selling volume based on candle structure and price action
โข Energy Wave Visualization: Displays smart money signals as intuitive energy waves with varying sizes reflecting signal strength
โข Strength Rating System: Quantifies signal strength on a 0-100% scale, with multiple visualization levels (10%+, 40%+, 60%+, 80%+)
โข Candlestick Pattern Integration: Incorporates bullish/bearish candle formations to enhance signal reliability
โข Volume Spike Detection: Identifies abnormal volume increases that often accompany smart money positioning
โข Trend Context Analysis: Evaluates signals in relation to current market trend for higher probability setups
โข Dynamic Strength Calculation: Uses a multi-factor model considering volume ratio, buying/selling imbalance, candle structure, and trend alignment
โข Transparent Signal Labeling: Displays precise strength percentage values with each signal for clear decision-making
โข Real-time Institutional Flow Monitor: Tracks the footprints of large players across both regulated (CME) and crypto exchange markets
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โ Understanding Signal Types
โ Buy Signal Energy Waves (Green)
โข Definition: Detected when significant buying pressure appears simultaneously on both CME and exchange futures, typically on bearish candles
โข Visual Appearance: Green circular waves below price bars, with size/opacity increasing with signal strength
โข Market Interpretation: Indicates institutional buying interest even as price is declining, often preceding bullish reversals
โข Signal Strength Factors:
โถ Higher buying volume relative to selling volume
โถ Above-average total volume
โถ Lower wicks on bearish candles
โถ Appearance at key support levels
โถ Coinciding with oversold conditions
โ Sell Signal Energy Waves (Red)
โข Definition: Detected when significant selling pressure appears simultaneously on both CME and exchange futures, typically on bullish candles
โข Visual Appearance: Red circular waves above price bars, with size/opacity increasing with signal strength
โข Market Interpretation: Indicates institutional selling interest even as price is rising, often preceding bearish reversals
โข Signal Strength Factors:
โถ Higher selling volume relative to buying volume
โถ Above-average total volume
โถ Upper wicks on bullish candles
โถ Appearance at key resistance levels
โถ Coinciding with overbought conditions
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โ Signal Strength Understanding
โ The Four Strength Levels
โข Level 1 (10-39%): Initial Detection
โถ Visual: Smallest energy wave
โถ Meaning: Early smart money positioning detected
โถ Usage: Early warning, prepare for possible setup
โข Level 2 (40-59%): Moderate Strength
โถ Visual: Medium-small energy wave
โถ Meaning: Clearer institutional positioning
โถ Usage: Begin position planning, watch for confirmation
โข Level 3 (60-79%): Strong Signal
โถ Visual: Medium-large energy wave
โถ Meaning: Significant smart money footprint
โถ Usage: High-probability setup forming, consider entry
โข Level 4 (80-100%): Exceptional Strength
โถ Visual: Largest energy wave
โถ Meaning: Powerful institutional movement confirmed
โถ Usage: Highest probability setup, strong conviction entry point
โ Understanding Signal Strength Calculation
โข Volume Component (0-50 points):
โถ Measures how current volume compares to recent average
โถ Maximum points when volume is 2x or higher than average
โข Buy/Sell Ratio Component (0-50 points):
โถ Measures imbalance between buying and selling pressure
โถ Maximum points when ratio exceeds predefined multiplier threshold
โข Advanced Weighting Factors:
โถ Candle Structure: Body size, wick length, and orientation
โถ Trend Alignment: Signal relationship to current trend
โถ Volume Spike: Abnormal volume increase detection
โถ Cross-Market Confirmation: Strength of signal alignment between CME and exchange
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โ Practical Trading Applications
โ Reversal Trading Strategy
โข Buy Signal Application:
โถ Setup: Strong buy energy wave (60%+) on a bearish candle
โถ Entry: After confirmation candle following the signal
โถ Stop Loss: Below recent low or 1 ATR below entry
โถ Take Profit: Previous resistance or 1:2 risk-reward minimum
โถ Enhancers: Signal occurring at support zone, oversold conditions, or trend line tests
โข Sell Signal Application:
โถ Setup: Strong sell energy wave (60%+) on a bullish candle
โถ Entry: After confirmation candle following the signal
โถ Stop Loss: Above recent high or 1 ATR above entry
โถ Take Profit: Previous support or 1:2 risk-reward minimum
โถ Enhancers: Signal occurring at resistance zone, overbought conditions, or trend line tests
โ Trend Continuation Strategy
โข During Uptrends:
โถ Focus on buy signals that appear during pullbacks
โถ Higher probability when signals occur at key moving averages or support levels
โถ Enter on strength when price shows signs of resuming the uptrend
โข During Downtrends:
โถ Focus on sell signals that appear during relief rallies
โถ Higher probability when signals occur at key moving averages or resistance levels
โถ Enter on strength when price shows signs of resuming the downtrend
โ Multiple Timeframe Approach
โข Signal Confirmation Across Timeframes:
โถ Major signals on higher timeframes (4H, daily) provide strategic direction
โถ Signals on lower timeframes (15m, 1H) offer tactical entry points
โถ Highest probability setups occur when signals align across multiple timeframes
โข Signal Clustering:
โถ Multiple signals in the same price area significantly increase probability
โถ Look for areas where both buy and sell signals have appeared, indicating battleground zones
โถ The most recent signal direction often wins these battles
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โ Technical Foundation
โ Why Cross-Market Confirmation Matters
โข Institutional Participation:
โถ CME Bitcoin futures are dominated by regulated institutional investors
โถ Crypto exchange futures include both retail and institutional players
โถ When both markets show the same smart money pattern, the signal reliability increases dramatically
โข Market Inefficiency Exploitation:
โถ Large players often position across multiple venues to minimize market impact
โถ This coordinated activity creates detectable footprints when analyzed correctly
โถ Cross-market confirmation helps filter out market noise and isolate true smart money movements
โ Smart Volume Calculation Methodology
โข Price-Volume Relationship Analysis:
โถ Uses candle structure to estimate buying vs. selling volume
โถ Buying volume = Total volume ร (Close - Low) / (High - Low)
โถ Selling volume = Total volume ร (High - Close) / (High - Low)
โข Signal Triggering Logic:
โถ Buy signal: When buying volume exceeds selling volume by multiplier factor
โถ Sell signal: When selling volume exceeds buying volume by multiplier factor
โถ Both conditions must be met simultaneously on CME and exchange futures
โข Advanced Pattern Recognition:
โถ Evaluates candle body-to-range ratio for signal quality
โถ Analyzes wick length and position for additional confirmation
โถ Considers recent highs/lows to detect potential turning points
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โ Indicator Settings Guide
โ Main Settings
โข CME Bitcoin Futures Symbol:
โถ Default: CME:BTC1!
โถ Purpose: Sets the CME futures contract to analyze alongside current chart
โข Buy/Sell Volume Multiplier:
โถ Default: 3.0
โถ Range: 1.0-10.0
โถ Purpose: Determines how much buying volume must exceed selling volume (or vice versa) to trigger a signal
โถ Higher values = fewer but stronger signals
โถ Lower values = more signals but potentially lower reliability
โ Volume Filter Settings
โข Enable Volume Filter:
โถ Default: Enabled
โถ Purpose: When enabled, only considers candles with above-threshold volume
โข Volume Average Period:
โถ Default: 20 candles
โถ Range: 5-200 candles
โถ Purpose: Sets the lookback period for calculating average volume
โข Volume Threshold:
โถ Default: 150%
โถ Range: 10%-500%
โถ Purpose: Minimum volume percentage (of average) required for signal consideration
โถ Higher values focus on only the most significant volume spikes
โ Signal Visualization
โข Show Signal Strength Value:
โถ Default: Enabled
โถ Purpose: Displays the exact percentage strength value with each signal
โข Energy Wave Colors:
โถ Buy Energy Wave: Green (#00ff80)
โถ Sell Energy Wave: Red (#ff4040)
โถ Purpose: Customize the appearance of energy waves for visual preference
โ Advanced Settings
โข Use Advanced Strength Calculation:
โถ Default: Enabled
โถ Purpose: When enabled, uses the full multi-factor model for signal strength
โถ When disabled, uses only basic volume and ratio factors
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โ Synergy with Other Indicators
โข Support/Resistance Levels:
โถ Smart money signals occurring at key support/resistance significantly increase reliability
โถ Particularly powerful when signals appear at tested price levels
โข Moving Averages:
โถ Signals near key moving averages (50MA, 200MA) often indicate institutional interest
โถ Moving average crosses combined with smart money signals create high-probability setups
โข RSI/Momentum Indicators:
โถ Buy signals in oversold conditions increase probability of successful reversal
โถ Sell signals in overbought conditions increase probability of successful reversal
โข Volume Profile:
โถ Signals occurring at high volume nodes often indicate significant turning points
โถ Low volume nodes between high volume areas can act as acceleration zones after signal triggers
โข Market Structure:
โถ Smart money signals that break key market structure levels (higher highs/lows or lower highs/lows) are particularly significant
โถ Can signal the early stages of trend changes when aligned with structure breaks
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โ 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.
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โป 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==================
โ ๊ฐ์
52SIGNAL RECIPE CME-Exchange Smart Money Detector๋ CME์ ์ํธํํ ๊ฑฐ๋์์ ์ ๋ฌผ ์์ฅ์ ๋์์ ๋ถ์ํ์ฌ ๊ธฐ๊ด ๋ฐ ์ค๋งํธ ๋จธ๋์ ์์ง์์ ํฌ์ฐฉํ๋ ๊ณ ๊ธ ๊ธฐ์ ์ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ์ฃผ์ ๊ฐ๊ฒฉ ์์ง์์ ์ ํํ๋ ์กฐ์ง์ ์ธ ๋งค์ ๋ฐ ๋งค๋ ํจํด์ ๊ฐ์งํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ์์ฅ ๋ฐฉํฅ ์์ธก์ ์ ๋ฆฌํ ์ ๋ณด๋ฅผ ์ ๊ณตํฉ๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ํน์ง์ ๊ต์ฐจ ์์ฅ ๊ฒ์ฆ ์ ๊ทผ๋ฒ์ ์์ต๋๋ค. CME ๋นํธ์ฝ์ธ ์ ๋ฌผ(๊ธฐ๊ด ํฌ์์ ์ค์ฌ)๊ณผ ์ํธํํ ๊ฑฐ๋์ ์ ๋ฌผ(๊ด๋ฒ์ํ ์์ฅ ์ฐธ์ฌ์) ๋ชจ๋์์ ํ์ธ์ ์๊ตฌํจ์ผ๋ก์จ, ํ์ ์ ํธ๋ฅผ ํฌ๊ฒ ์ค์ด๊ณ ์ผ๋ฐ์ ์ผ๋ก ์์ฅ ์์ง์์ ์ ๋ํ๋ ๊ณ ํ๋ฅ ์ค๋งํธ ๋จธ๋ ํ์ ์ ์๋ณํฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ๋์ผ ๋ง์ผ ํ์ธ: CME ๋นํธ์ฝ์ธ ์ ๋ฌผ๊ณผ ๊ฑฐ๋์ ์ ๋ฌผ ์ฐจํธ๋ฅผ ๋์์ ๋ถ์ํ์ฌ ๋๊ธฐํ๋ ์ค๋งํธ ๋จธ๋ ํ๋ ์๋ณ
โข ์ค๋งํธ ๋ณผ๋ฅจ ๋ถ์: ์บ๋ค ๊ตฌ์กฐ์ ๊ฐ๊ฒฉ ํ๋์ ๊ธฐ๋ฐ์ผ๋ก ๋งค์ ๋ฐ ๋งค๋ ๋ณผ๋ฅจ์ ๋ถ๋ฆฌํ๋ ๊ณ ๊ธ ์๊ณ ๋ฆฌ์ฆ ์ฌ์ฉ
โข ์๋์ง ํ๋ ์๊ฐํ: ์ค๋งํธ ๋จธ๋ ์ ํธ๋ฅผ ์ ํธ ๊ฐ๋๋ฅผ ๋ฐ์ํ๋ ๋ค์ํ ํฌ๊ธฐ์ ์ง๊ด์ ์ธ ์๋์ง ํ๋์ผ๋ก ํ์
โข ๊ฐ๋ ํ๊ฐ ์์คํ
: ์ ํธ ๊ฐ๋๋ฅผ 0-100% ์ฒ๋๋ก ์์นํํ๊ณ ์ฌ๋ฌ ์๊ฐํ ๋ ๋ฒจ(10%+, 40%+, 60%+, 80%+) ์ ๊ณต
โข ์บ๋ค์คํฑ ํจํด ํตํฉ: ์ ํธ ์ ๋ขฐ์ฑ์ ๋์ด๊ธฐ ์ํด ์์น/ํ๋ฝ ์บ๋ค ํ์ฑ์ ๋ถ์์ ํตํฉ
โข ๋ณผ๋ฅจ ์คํ์ดํฌ ๊ฐ์ง: ์ค๋งํธ ๋จธ๋ ํฌ์ง์
๋์ ๋๋ฐํ๋ ๋น์ ์์ ์ธ ๋ณผ๋ฅจ ์ฆ๊ฐ ์๋ณ
โข ์ถ์ธ ๋งฅ๋ฝ ๋ถ์: ํ์ฌ ์์ฅ ์ถ์ธ์ ๊ด๋ จํ์ฌ ์ ํธ๋ฅผ ํ๊ฐํ์ฌ ๋์ ํ๋ฅ ์ ์ค์ ์ ๊ณต
โข ๋์ ๊ฐ๋ ๊ณ์ฐ: ๋ณผ๋ฅจ ๋น์จ, ๋งค์/๋งค๋ ๋ถ๊ท ํ, ์บ๋ค ๊ตฌ์กฐ ๋ฐ ์ถ์ธ ์ผ์น๋๋ฅผ ๊ณ ๋ คํ๋ ๋ค์ค ์์ ๋ชจ๋ธ ์ฌ์ฉ
โข ํฌ๋ช
ํ ์ ํธ ๋ผ๋ฒจ๋ง: ๋ช
ํํ ์์ฌ ๊ฒฐ์ ์ ์ํด ๊ฐ ์ ํธ์ ํจ๊ป ์ ํํ ๊ฐ๋ ๋ฐฑ๋ถ์จ ๊ฐ ํ์
โข ์ค์๊ฐ ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ชจ๋ํฐ: ๊ท์ ๋(CME) ์์ฅ๊ณผ ์ํธํํ ๊ฑฐ๋์ ์์ฅ ๋ชจ๋์์ ๋ํ ํ๋ ์ด์ด์ ํ์ ์ถ์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๋งค์ ์ ํธ ์๋์ง ํ๋ (๋
น์)
โข ์ ์: ์ผ๋ฐ์ ์ผ๋ก ํ๋ฝ ์บ๋ค์์ CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋์์ ๋์์ ์๋นํ ๋งค์ ์๋ ฅ์ด ๊ฐ์ง๋ ๋ ๋ฐ์
โข ์๊ฐ์ ๋ชจ์ต: ๊ฐ๊ฒฉ ๋ฐ ์๋์ ๋
น์ ์ํ ํ๋์ผ๋ก ํ์๋๋ฉฐ, ์ ํธ ๊ฐ๋์ ๋ฐ๋ผ ํฌ๊ธฐ/๋ถํฌ๋ช
๋ ์ฆ๊ฐ
โข ์์ฅ ํด์: ๊ฐ๊ฒฉ์ด ํ๋ฝํ๋ ๋์์๋ ๊ธฐ๊ด์ ๋งค์ ๊ด์ฌ์ด ์์์ ๋ํ๋ด๋ฉฐ, ์ข
์ข
์์น ๋ฐ์ ์ ์ ํ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ๋งค๋ ๋ณผ๋ฅจ ๋๋น ๋์ ๋งค์ ๋ณผ๋ฅจ
โถ ํ๊ท ์ด์์ ์ด ๊ฑฐ๋๋
โถ ํ๋ฝ ์บ๋ค์ ์๋ ๊ผฌ๋ฆฌ
โถ ์ฃผ์ ์ง์ง ์์ค์์์ ์ถํ
โถ ๊ณผ๋งค๋ ์กฐ๊ฑด๊ณผ ์ผ์น
โ ๋งค๋ ์ ํธ ์๋์ง ํ๋ (์ ์)
โข ์ ์: ์ผ๋ฐ์ ์ผ๋ก ์์น ์บ๋ค์์ CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋์์ ๋์์ ์๋นํ ๋งค๋ ์๋ ฅ์ด ๊ฐ์ง๋ ๋ ๋ฐ์
โข ์๊ฐ์ ๋ชจ์ต: ๊ฐ๊ฒฉ ๋ฐ ์์ ์ ์ ์ํ ํ๋์ผ๋ก ํ์๋๋ฉฐ, ์ ํธ ๊ฐ๋์ ๋ฐ๋ผ ํฌ๊ธฐ/๋ถํฌ๋ช
๋ ์ฆ๊ฐ
โข ์์ฅ ํด์: ๊ฐ๊ฒฉ์ด ์์นํ๋ ๋์์๋ ๊ธฐ๊ด์ ๋งค๋ ๊ด์ฌ์ด ์์์ ๋ํ๋ด๋ฉฐ, ์ข
์ข
ํ๋ฝ ๋ฐ์ ์ ์ ํ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ๋งค์ ๋ณผ๋ฅจ ๋๋น ๋์ ๋งค๋ ๋ณผ๋ฅจ
โถ ํ๊ท ์ด์์ ์ด ๊ฑฐ๋๋
โถ ์์น ์บ๋ค์ ์ ๊ผฌ๋ฆฌ
โถ ์ฃผ์ ์ ํญ ์์ค์์์ ์ถํ
โถ ๊ณผ๋งค์ ์กฐ๊ฑด๊ณผ ์ผ์น
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ๊ฐ๋ ์ดํดํ๊ธฐ
โ ๋ค ๊ฐ์ง ๊ฐ๋ ๋ ๋ฒจ
โข ๋ ๋ฒจ 1 (10-39%): ์ด๊ธฐ ๊ฐ์ง
โถ ์๊ฐ์ : ๊ฐ์ฅ ์์ ์๋์ง ํ๋
โถ ์๋ฏธ: ์ด๊ธฐ ์ค๋งํธ ๋จธ๋ ํฌ์ง์
๋ ๊ฐ์ง
โถ ํ์ฉ: ์ด๊ธฐ ๊ฒฝ๊ณ , ๊ฐ๋ฅํ ์ค์ ์ค๋น
โข ๋ ๋ฒจ 2 (40-59%): ์ค๊ฐ ๊ฐ๋
โถ ์๊ฐ์ : ์ค๊ฐ-์์ ์๋์ง ํ๋
โถ ์๋ฏธ: ๋ ๋ช
ํํ ๊ธฐ๊ด ํฌ์ง์
๋
โถ ํ์ฉ: ํฌ์ง์
๊ณํ ์์, ํ์ธ ๋๊ธฐ
โข ๋ ๋ฒจ 3 (60-79%): ๊ฐํ ์ ํธ
โถ ์๊ฐ์ : ์ค๊ฐ-ํฐ ์๋์ง ํ๋
โถ ์๋ฏธ: ์ค์ํ ์ค๋งํธ ๋จธ๋ ํ์
โถ ํ์ฉ: ๊ณ ํ๋ฅ ์ค์ ํ์ฑ, ์ง์
๊ณ ๋ ค
โข ๋ ๋ฒจ 4 (80-100%): ์์ธ์ ๊ฐ๋
โถ ์๊ฐ์ : ๊ฐ์ฅ ํฐ ์๋์ง ํ๋
โถ ์๋ฏธ: ๊ฐ๋ ฅํ ๊ธฐ๊ด ์์ง์ ํ์ธ
โถ ํ์ฉ: ์ต๊ณ ํ๋ฅ ์ค์ , ๊ฐํ ํ์ ์ ์ง์
์ง์
โ ์ ํธ ๊ฐ๋ ๊ณ์ฐ ์ดํดํ๊ธฐ
โข ๋ณผ๋ฅจ ๊ตฌ์ฑ ์์ (0-50 ํฌ์ธํธ):
โถ ํ์ฌ ๋ณผ๋ฅจ์ด ์ต๊ทผ ํ๊ท ๊ณผ ๋น๊ตํ์ฌ ์ผ๋ง๋ ๋์์ง ์ธก์
โถ ๋ณผ๋ฅจ์ด ํ๊ท ๋ณด๋ค 2๋ฐฐ ์ด์ ๋์ ๋ ์ต๋ ํฌ์ธํธ ๋ถ์ฌ
โข ๋งค์/๋งค๋ ๋น์จ ๊ตฌ์ฑ ์์ (0-50 ํฌ์ธํธ):
โถ ๋งค์์ ๋งค๋ ์๋ ฅ ๊ฐ์ ๋ถ๊ท ํ ์ธก์
โถ ๋น์จ์ด ๋ฏธ๋ฆฌ ์ ์๋ ๋ฐฐ์จ ์๊ณ๊ฐ์ ์ด๊ณผํ ๋ ์ต๋ ํฌ์ธํธ ๋ถ์ฌ
โข ๊ณ ๊ธ ๊ฐ์ค์น ์์:
โถ ์บ๋ค ๊ตฌ์กฐ: ๋ชธํต ํฌ๊ธฐ, ๊ผฌ๋ฆฌ ๊ธธ์ด ๋ฐ ๋ฐฉํฅ
โถ ์ถ์ธ ์ผ์น: ํ์ฌ ์ถ์ธ์์ ์ ํธ ๊ด๊ณ
โถ ๋ณผ๋ฅจ ์คํ์ดํฌ: ๋น์ ์์ ์ธ ๋ณผ๋ฅจ ์ฆ๊ฐ ๊ฐ์ง
โถ ๊ต์ฐจ ์์ฅ ํ์ธ: CME์ ๊ฑฐ๋์ ๊ฐ ์ ํธ ์ผ์น ๊ฐ๋
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํธ๋ ์ด๋ฉ ์์ฉ
โ ๋ฐ์ ํธ๋ ์ด๋ฉ ์ ๋ต
โข ๋งค์ ์ ํธ ์์ฉ:
โถ ์ค์ : ํ๋ฝ ์บ๋ค์์ ๊ฐํ ๋งค์ ์๋์ง ํ๋(60%+)
โถ ์ง์
: ์ ํธ ์ดํ ํ์ธ ์บ๋ค ์ดํ
โถ ์์ : ์ต๊ทผ ์ ์ ์๋ ๋๋ ์ง์
์ ์๋ 1 ATR
โถ ์ด์ต์คํ: ์ด์ ์ ํญ ๋๋ ์ต์ 1:2 ๋ฆฌ์คํฌ-๋ฆฌ์๋
โถ ๊ฐํ ์์: ์ง์ง ๊ตฌ์ญ, ๊ณผ๋งค๋ ์กฐ๊ฑด ๋๋ ์ถ์ธ์ ํ
์คํธ์์ ๋ฐ์ํ๋ ์ ํธ
โข ๋งค๋ ์ ํธ ์์ฉ:
โถ ์ค์ : ์์น ์บ๋ค์์ ๊ฐํ ๋งค๋ ์๋์ง ํ๋(60%+)
โถ ์ง์
: ์ ํธ ์ดํ ํ์ธ ์บ๋ค ์ดํ
โถ ์์ : ์ต๊ทผ ๊ณ ์ ์ ๋๋ ์ง์
์ ์ 1 ATR
โถ ์ด์ต์คํ: ์ด์ ์ง์ง ๋๋ ์ต์ 1:2 ๋ฆฌ์คํฌ-๋ฆฌ์๋
โถ ๊ฐํ ์์: ์ ํญ ๊ตฌ์ญ, ๊ณผ๋งค์ ์กฐ๊ฑด ๋๋ ์ถ์ธ์ ํ
์คํธ์์ ๋ฐ์ํ๋ ์ ํธ
โ ์ถ์ธ ์ง์ ์ ๋ต
โข ์์น ์ถ์ธ ์ค:
โถ ์กฐ์ ์ค์ ๋ํ๋๋ ๋งค์ ์ ํธ์ ์ง์ค
โถ ์ฃผ์ ์ด๋ํ๊ท ์ ์ด๋ ์ง์ง ์์ค์์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ํ๋ฅ ์ด ๋์
โถ ๊ฐ๊ฒฉ์ด ์์น ์ถ์ธ๋ฅผ ์ฌ๊ฐํ ์งํ๋ฅผ ๋ณด์ผ ๋ ๊ฐ๋์ ๋ง์ถฐ ์ง์
โข ํ๋ฝ ์ถ์ธ ์ค:
โถ ์ผ์์ ๋ฐ๋ฑ ์ค์ ๋ํ๋๋ ๋งค๋ ์ ํธ์ ์ง์ค
โถ ์ฃผ์ ์ด๋ํ๊ท ์ ์ด๋ ์ ํญ ์์ค์์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ํ๋ฅ ์ด ๋์
โถ ๊ฐ๊ฒฉ์ด ํ๋ฝ ์ถ์ธ๋ฅผ ์ฌ๊ฐํ ์งํ๋ฅผ ๋ณด์ผ ๋ ๊ฐ๋์ ๋ง์ถฐ ์ง์
โ ๋ค์ค ์๊ฐํ๋ ์ ์ ๊ทผ๋ฒ
โข ๋ค์ํ ์๊ฐํ๋ ์์์์ ์ ํธ ํ์ธ:
โถ ์์ ์๊ฐํ๋ ์(4์๊ฐ, ์ผ๋ด)์ ์ฃผ์ ์ ํธ๋ ์ ๋ต์ ๋ฐฉํฅ ์ ๊ณต
โถ ํ์ ์๊ฐํ๋ ์(15๋ถ, 1์๊ฐ)์ ์ ํธ๋ ์ ์ ์ ์ง์
์ง์ ์ ๊ณต
โถ ์ฌ๋ฌ ์๊ฐํ๋ ์์์ ์ ํธ๊ฐ ์ผ์นํ ๋ ๊ฐ์ฅ ๋์ ํ๋ฅ ์ ์ค์ ๋ฐ์
โข ์ ํธ ํด๋ฌ์คํฐ๋ง:
โถ ๋์ผํ ๊ฐ๊ฒฉ ์์ญ์์ ์ฌ๋ฌ ์ ํธ๊ฐ ๋ฐ์ํ๋ฉด ํ๋ฅ ์ด ํฌ๊ฒ ์ฆ๊ฐ
โถ ๋งค์์ ๋งค๋ ์ ํธ๊ฐ ๋ชจ๋ ๋ํ๋ ์์ญ์ ์ฐพ์ ์ ํฌ ๊ตฌ์ญ ์๋ณ
โถ ์ด๋ฌํ ์ ํฌ์์๋ ๋๊ฐ ๊ฐ์ฅ ์ต๊ทผ์ ์ ํธ ๋ฐฉํฅ์ด ์ฐ์ธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ธฐ์ ์ ๊ธฐ๋ฐ
โ ๊ต์ฐจ ์์ฅ ํ์ธ์ด ์ค์ํ ์ด์
โข ๊ธฐ๊ด ์ฐธ์ฌ:
โถ CME ๋นํธ์ฝ์ธ ์ ๋ฌผ์ ๊ท์ ๋ ๊ธฐ๊ด ํฌ์์๊ฐ ์ฃผ๋
โถ ์ํธํํ ๊ฑฐ๋์ ์ ๋ฌผ์ ์๋งค ๋ฐ ๊ธฐ๊ด ํ๋ ์ด์ด ๋ชจ๋ ํฌํจ
โถ ๋ ์์ฅ์ด ๋์ผํ ์ค๋งํธ ๋จธ๋ ํจํด์ ๋ณด์ผ ๋ ์ ํธ ์ ๋ขฐ์ฑ์ด ํฌ๊ฒ ์ฆ๊ฐ
โข ์์ฅ ๋นํจ์จ์ฑ ํ์ฉ:
โถ ๋ํ ํ๋ ์ด์ด๋ค์ ์์ฅ ์ํฅ์ ์ต์ํํ๊ธฐ ์ํด ์ฌ๋ฌ ๊ฑฐ๋์์ ๊ฑธ์ณ ํฌ์ง์
์ ์ทจํ๋ ๊ฒฝ์ฐ๊ฐ ๋ง์
โถ ์ด๋ฌํ ์กฐ์ง์ ์ธ ํ๋์ ์ฌ๋ฐ๋ฅด๊ฒ ๋ถ์ํ ๋ ๊ฐ์ง ๊ฐ๋ฅํ ํ์ ์ ๋จ๊น
โถ ๊ต์ฐจ ์์ฅ ํ์ธ์ ์์ฅ ๋
ธ์ด์ฆ๋ฅผ ํํฐ๋งํ๊ณ ์ง์ ํ ์ค๋งํธ ๋จธ๋ ์์ง์์ ๋ถ๋ฆฌํ๋ ๋ฐ ๋์
โ ์ค๋งํธ ๋ณผ๋ฅจ ๊ณ์ฐ ๋ฐฉ๋ฒ๋ก
โข ๊ฐ๊ฒฉ-๋ณผ๋ฅจ ๊ด๊ณ ๋ถ์:
โถ ์บ๋ค ๊ตฌ์กฐ๋ฅผ ์ฌ์ฉํ์ฌ ๋งค์ ๋ ๋งค๋ ๋ณผ๋ฅจ ์ถ์
โถ ๋งค์ ๋ณผ๋ฅจ = ์ด ๋ณผ๋ฅจ ร (์ข
๊ฐ - ์ ๊ฐ) / (๊ณ ๊ฐ - ์ ๊ฐ)
โถ ๋งค๋ ๋ณผ๋ฅจ = ์ด ๋ณผ๋ฅจ ร (๊ณ ๊ฐ - ์ข
๊ฐ) / (๊ณ ๊ฐ - ์ ๊ฐ)
โข ์ ํธ ํธ๋ฆฌ๊ฑฐ ๋ก์ง:
โถ ๋งค์ ์ ํธ: ๋งค์ ๋ณผ๋ฅจ์ด ๋งค๋ ๋ณผ๋ฅจ์ ๋ฐฐ์จ ์์๋งํผ ์ด๊ณผํ ๋
โถ ๋งค๋ ์ ํธ: ๋งค๋ ๋ณผ๋ฅจ์ด ๋งค์ ๋ณผ๋ฅจ์ ๋ฐฐ์จ ์์๋งํผ ์ด๊ณผํ ๋
โถ ๋ ์กฐ๊ฑด ๋ชจ๋ CME์ ๊ฑฐ๋์ ์ ๋ฌผ์์ ๋์์ ์ถฉ์กฑ๋์ด์ผ ํจ
โข ๊ณ ๊ธ ํจํด ์ธ์:
โถ ์ ํธ ํ์ง์ ์ํ ์บ๋ค ๋ชธํต-๋ฒ์ ๋น์จ ํ๊ฐ
โถ ์ถ๊ฐ ํ์ธ์ ์ํ ๊ผฌ๋ฆฌ ๊ธธ์ด ๋ฐ ์์น ๋ถ์
โถ ์ ์ฌ์ ์ ํ์ ์ ๊ฐ์งํ๊ธฐ ์ํด ์ต๊ทผ ๊ณ ์ /์ ์ ๊ณ ๋ ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์
โข CME ๋นํธ์ฝ์ธ ์ ๋ฌผ ์ฌ๋ณผ:
โถ ๊ธฐ๋ณธ๊ฐ: CME:BTC1!
โถ ๋ชฉ์ : ํ์ฌ ์ฐจํธ์ ํจ๊ป ๋ถ์ํ CME ์ ๋ฌผ ๊ณ์ฝ ์ค์
โข ๋งค์/๋งค๋ ๋ณผ๋ฅจ ๋ฐฐ์จ:
โถ ๊ธฐ๋ณธ๊ฐ: 3.0
โถ ๋ฒ์: 1.0-10.0
โถ ๋ชฉ์ : ์ ํธ๋ฅผ ํธ๋ฆฌ๊ฑฐํ๊ธฐ ์ํด ๋งค์ ๋ณผ๋ฅจ์ด ๋งค๋ ๋ณผ๋ฅจ์ ์ผ๋ง๋ ์ด๊ณผํด์ผ ํ๋์ง(๋๋ ๊ทธ ๋ฐ๋) ๊ฒฐ์
โถ ๋์ ๊ฐ = ์ ์ง๋ง ๋ ๊ฐํ ์ ํธ
โถ ๋ฎ์ ๊ฐ = ๋ ๋ง์ ์ ํธ์ง๋ง ์ ์ฌ์ ์ผ๋ก ๋ฎ์ ์ ๋ขฐ์ฑ
โ ๋ณผ๋ฅจ ํํฐ ์ค์
โข ๋ณผ๋ฅจ ํํฐ ํ์ฑํ:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ํ์ฑํ๋๋ฉด ์๊ณ๊ฐ ์ด์์ ๋ณผ๋ฅจ์ ๊ฐ์ง ์บ๋ค๋ง ๊ณ ๋ ค
โข ๋ณผ๋ฅจ ํ๊ท ๊ธฐ๊ฐ:
โถ ๊ธฐ๋ณธ๊ฐ: 20 ์บ๋ค
โถ ๋ฒ์: 5-200 ์บ๋ค
โถ ๋ชฉ์ : ํ๊ท ๋ณผ๋ฅจ ๊ณ์ฐ์ ์ํ ๋ฃฉ๋ฐฑ ๊ธฐ๊ฐ ์ค์
โข ๋ณผ๋ฅจ ์๊ณ๊ฐ:
โถ ๊ธฐ๋ณธ๊ฐ: 150%
โถ ๋ฒ์: 10%-500%
โถ ๋ชฉ์ : ์ ํธ ๊ณ ๋ ค์ ํ์ํ ์ต์ ๋ณผ๋ฅจ ๋ฐฑ๋ถ์จ(ํ๊ท ๋๋น)
โถ ๋์ ๊ฐ์ ๊ฐ์ฅ ์ค์ํ ๋ณผ๋ฅจ ์คํ์ดํฌ์๋ง ์ง์ค
โ ์ ํธ ์๊ฐํ
โข ์ ํธ ๊ฐ๋ ๊ฐ ํ์:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ๊ฐ ์ ํธ์ ํจ๊ป ์ ํํ ๋ฐฑ๋ถ์จ ๊ฐ๋ ๊ฐ ํ์
โข ์๋์ง ํ๋ ์์:
โถ ๋งค์ ์๋์ง ํ๋: ๋
น์(#00ff80)
โถ ๋งค๋ ์๋์ง ํ๋: ์ ์(#ff4040)
โถ ๋ชฉ์ : ์๊ฐ์ ์ ํธ๋์ ๋ง๊ฒ ์๋์ง ํ๋์ ๋ชจ์ ์ฌ์ฉ์ ์ ์
โ ๊ณ ๊ธ ์ค์
โข ๊ณ ๊ธ ๊ฐ๋ ๊ณ์ฐ ์ฌ์ฉ:
โถ ๊ธฐ๋ณธ๊ฐ: ํ์ฑํ๋จ
โถ ๋ชฉ์ : ํ์ฑํ๋๋ฉด ์ ํธ ๊ฐ๋์ ์ ์ฒด ๋ค์ค ์์ ๋ชจ๋ธ ์ฌ์ฉ
โถ ๋นํ์ฑํ๋๋ฉด ๊ธฐ๋ณธ ๋ณผ๋ฅจ ๋ฐ ๋น์จ ์์๋ง ์ฌ์ฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ฃผ์ ์ง์ง/์ ํญ์์ ๋ฐ์ํ๋ ์ค๋งํธ ๋จธ๋ ์ ํธ๋ ์ ๋ขฐ์ฑ์ ํฌ๊ฒ ๋์
โถ ํนํ ํ
์คํธ๋ ๊ฐ๊ฒฉ ๋ ๋ฒจ์์ ์ ํธ๊ฐ ๋ํ๋ ๋ ๊ฐ๋ ฅํจ
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์ ์ ํธ๋ ์ข
์ข
๊ธฐ๊ด์ ๊ด์ฌ์ ๋ํ๋
โถ ์ด๋ํ๊ท ์ ๊ต์ฐจ์ ์ค๋งํธ ๋จธ๋ ์ ํธ์ ์กฐํฉ์ ๊ณ ํ๋ฅ ์ค์ ์์ฑ
โข RSI/๋ชจ๋ฉํ
์งํ:
โถ ๊ณผ๋งค๋ ์กฐ๊ฑด์์์ ๋งค์ ์ ํธ๋ ์ฑ๊ณต์ ์ธ ๋ฐ์ ํ๋ฅ ์ฆ๊ฐ
โถ ๊ณผ๋งค์ ์กฐ๊ฑด์์์ ๋งค๋ ์ ํธ๋ ์ฑ๊ณต์ ์ธ ๋ฐ์ ํ๋ฅ ์ฆ๊ฐ
โข ๋ณผ๋ฅจ ํ๋กํ์ผ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ์ ํธ๋ ์ข
์ข
์ค์ํ ์ ํ์ ์ ๋ํ๋
โถ ๋์ ๋ณผ๋ฅจ ์์ญ ์ฌ์ด์ ๋ฎ์ ๋ณผ๋ฅจ ๋
ธ๋๋ ์ ํธ ํธ๋ฆฌ๊ฑฐ ํ ๊ฐ์ ๊ตฌ๊ฐ์ผ๋ก ์์ฉํ ์ ์์
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ ๋ ๋ฒจ(๋์ ๊ณ ์ /์ ์ ๋๋ ๋ฎ์ ๊ณ ์ /์ ์ )์ ๊นจ๋ ์ค๋งํธ ๋จธ๋ ์ ํธ๋ ํนํ ์ค์
โถ ๊ตฌ์กฐ ๊นจ์ง๊ณผ ์ผ์นํ ๋ ์ถ์ธ ๋ณํ์ ์ด๊ธฐ ๋จ๊ณ๋ฅผ ์๋ฆด ์ ์์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE CME-Exchange Smart Money Detector๋ ๊ท์ ๋ ์ ๋ฌผ ์์ฅ๊ณผ ์ํธํํ ๊ฑฐ๋์ ์์ฅ ๋ชจ๋์์ ๊ธฐ๊ด์ ํฌ์ง์
๋์ ๋๋ฌ๋์ผ๋ก์จ ํธ๋ ์ด๋์๊ฒ ๊ฐ๋ ฅํ ์ฐ์๋ฅผ ์ ๊ณตํฉ๋๋ค. ๋ ๊ฑฐ๋์์์ ๋๊ธฐํ๋ ์ ํธ๋ฅผ ์๊ตฌํจ์ผ๋ก์จ, ์์ฅ ๋
ธ์ด์ฆ๋ฅผ ์ ๊ฑฐํ๊ณ ๊ฐ์ฅ ์ ๋ขฐํ ์ ์๋ ์ค๋งํธ ๋จธ๋ ํ์ ์ ์๋ณํฉ๋๋ค.
์ด ์งํ๋ฅผ ์ฐจ๋ณํํ๋ ๊ฒ์ ์ ๊ตํ ๊ต์ฐจ ์์ฅ ๊ฒ์ฆ ์์คํ
์
๋๋ค. ๋จ์ผ ์์ฅ์ ์ ํธ์ ์์กดํ๋ ๋์ , CME์ ๊ฑฐ๋์ ์ ๋ฌผ ๋ชจ๋๊ฐ ๋์์ ๋์ผํ ์ค๋งํธ ๋จธ๋ ํจํด์ ํ์ํ ๋๋ง ํธ๋ฆฌ๊ฑฐ๋ฉ๋๋ค. ์ด ์ ๊ทผ ๋ฐฉ์์ ํ์ ์ ํธ๋ฅผ ํฌ๊ฒ ์ค์ด๊ณ ์ง์ ์ผ๋ก ์ค์ํ ๊ธฐ๊ด ํ๋์ ๊ฐ์กฐํฉ๋๋ค.
์ง๊ด์ ์ธ ์๋์ง ํ๋ ์๊ฐํ ์์คํ
์ ํตํด ๋ค์ํ ๊ฐ๋์ ์ ํธ๋ฅผ ์ฝ๊ฒ ๋ฐ๊ฒฌํ ์ ์์ผ๋ฉฐ, ํฌ๋ช
ํ ๋ฐฑ๋ถ์จ ํ๊ฐ๋ฅผ ํตํด ๊ฐ ๊ธฐํ๋ฅผ ๊ฐ๊ด์ ์ผ๋ก ํ๊ฐํ ์ ์์ต๋๋ค. ์ด๋ฌํ ์ด์ค ํ์ธ๋ ์ค๋งํธ ๋จธ๋ ์์ง์์ ์ง์คํจ์ผ๋ก์จ, ํธ๋ ์ด๋๋ ๊ธฐ๊ด ์ฐธ๊ฐ์๋ค์ ๋ํญํ๊ธฐ๋ณด๋ค๋ ๊ทธ๋ค๊ณผ ํจ๊ป ํฌ์ง์
์ ์ทจํ ์ ์์ต๋๋ค.
๊ฐ์ฅ ๊ฐ๋ ฅํ ์ ํธ๋ ์ผ๋ฐ์ ์ผ๋ก ์ฃผ์ ์์ฅ ๋ณ๊ณก์ ์์, ์ข
์ข
์ค์ํ ๊ฐ๊ฒฉ ์์ง์ ์ด์ ์ ๋ํ๋๋ค๋ ์ ์ ๊ธฐ์ตํ์ธ์. ์ด ์งํ๋ฅผ ํธ๋ ์ด๋ฉ ์ ๊ทผ๋ฒ์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ ๋ฐฉํฅ์ ๋ ๋์ ํ์ ์ผ๋ก ์์ธกํ๋ ๋ฐ ๋์์ด ๋๋ ๊ธฐ๊ด ํฌ์ง์
๋์ ๋ํ ํต์ฐฐ๋ ฅ์ ์ป์ ์ ์์ต๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, CME-Exchange Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉ๋์ด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ธฐ๊ด ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ์ฌ์ฉํ์ธ์.
52SIGNAL RECIPE CME Gap Support & Resistance Detectorโโโ 52SIGNAL RECIPE CME Gap Support & Resistance Detector โโโ
โ 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.
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โ Key Features
โข 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
โข 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)
โข Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing supportโresistance role transitions
โข Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
โข Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
โข Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
โข Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
โข 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
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ User Guide: Understanding Gap Roles Through Colors
โ Color System Interpretation
โข Blue Gaps (Support Role):
โถ Meaning: Current price is above the gap, making the gap act as support
โถ Trading Application: Consider buying opportunities when price approaches blue gap areas
โถ Psychological Meaning: Buying pressure likely to increase at this price level
โข Red Gaps (Resistance Role):
โถ Meaning: Current price is below the gap, making the gap act as resistance
โถ Trading Application: Consider selling opportunities when price approaches red gap areas
โถ Psychological Meaning: Selling pressure likely to increase at this price level
โข Gray Gaps (Filled Gaps):
โถ Meaning: Price has completely passed through the gap area, filling the gap
โถ Reference Value: Still valuable as reference for past important reaction zones
โถ Trading Application: Used to confirm trend strength and identify key psychological levels
โ Understanding Color Transitions
โข Blue โ Red Transition:
โถ Meaning: Price has fallen below the gap, changing its role from support to resistance
โถ Market Interpretation: Breakdown of previous support strengthens bearish signals
โถ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
โข Red โ Blue Transition:
โถ Meaning: Price has risen above the gap, changing its role from resistance to support
โถ Market Interpretation: Breakout above previous resistance strengthens bullish signals
โถ Trading Application: Consider potential further rise; check gap top as support during pullbacks
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Practical Application Guide
โ Basic Trading Scenarios
โข Blue Gap Support Strategy:
โถ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
โถ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
โถ Take Profit: Previous swing high or next resistance level above
โถ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
โข Red Gap Resistance Strategy:
โถ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
โถ Stop Loss: Above the gap top (if price completely breaks up through the gap)
โถ Take Profit: Previous swing low or next support level below
โถ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
โ Advanced Pattern Applications
โข Multiple Gap Cluster Identification:
โถ Several gaps in close price proximity form extremely powerful support/resistance zones
โถ Same-color gap clusters: Very strong single-direction reaction zones
โถ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
โข Gap Sequence Analysis:
โถ Consecutive same-direction gaps: Strong trend confirmation signal
โถ Increasing gap size pattern: Trend acceleration signal
โถ Decreasing gap size pattern: Trend weakening signal
โข News/Indicator Release Gap Utilization:
โถ Gaps formed immediately after economic indicators: Measure market shock intensity
โถ Gap color change observation: Track market reinterpretation of news
โถ Gap filling speed analysis: Evaluate news impact duration
โข Key Attention Points:
โถ Pay special attention to the chart whenever price approaches gap areas
โถ Gap color changes signal important market sentiment shifts
โถ Areas with multiple concentrated gaps are likely to show strong price reactions
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Technical Foundation
โ CME Gap Formation Principles
โข Key Gap Formation Scenarios:
โถ Weekend Closures (Friday close โ Monday open): Most common CME gap formation point
โถ Holiday Closures: Gaps occurring due to CME closures on US holidays
โถ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
โถ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
โถ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
โข Psychological Importance of Gaps:
โถ Zones where price formation did not occur, representing imbalance between buying/selling forces
โถ Gap areas have no actual trading, resulting in accumulated potential orders
โถ Reflect institutional investor positions and liquidity distribution in the CME futures market
โ Support/Resistance Mechanism
โข Psychological Level Formation Mechanism:
โถ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
โถ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
โถ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
โข Evidence of Support/Resistance Function:
โถ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
โถ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
โถ Market psychology impact: Influences traders' perceived value and fair price assessment
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Advanced Configuration Options
โ Visualization Settings
โข Show Gap Labels (Default: On)
โถ On: Displays price ranges of each gap numerically for precise support/resistance level identification
โถ Off: Hides labels for visual cleanliness
โข Color Settings
โถ Filled Gap Color: Gray tones, shows gaps already traversed by price
โถ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
โถ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
โ Data Management Settings
โข Filled Gap Storage Limit (Default: 10)
โถ Sets maximum number of filled gaps to retain on chart
โถ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
โข Maximum Gap Retention Period (Default: 12 months)
โถ Sets period after which old unfilled gaps are automatically removed
โถ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Synergy with Other Indicators
โข Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
โข Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
โข Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
โข Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
โข Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ 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 (blueโred or redโblue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป 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.
โโโ 52SIGNAL RECIPE CME Gap Support & Resistance Detector โโโ
โ ๊ฐ์
52SIGNAL RECIPE CME Gap Support & Resistance Detector๋ CME ๋นํธ์ฝ์ธ ์ ๋ฌผ ์์ฅ์์ ๋ฐ์ํ๋ ๋ชจ๋ ์ ํ์ ๊ฐ๊ฒฉ ๊ฐญ(Gap)์ ์๋์ผ๋ก ๊ฐ์งํ์ฌ ํธ๋ ์ด๋ฉ ์ฐจํธ์ ์๊ฐํํ๋ ๊ณ ๊ธ ๊ธฐ์ ์ ์งํ์
๋๋ค. ์ฃผ๋ง๊ณผ ๊ณตํด์ผ ํด์ฅ์ ๋ฌผ๋ก , ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ, ๊ทธ๋ฆฌ๊ณ ์ค์ ๊ฒฝ์ ์งํ ๋ฐํ๋ ๋ด์ค ์ด๋ฒคํธ ์ ๋ฐ์ํ๋ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๊ฐญ๊น์ง ๋๋ฝ ์์ด ํฌ์ฐฉํฉ๋๋ค.
์ด ์ธ๋์ผ์ดํฐ์ ํต์ฌ ๊ฐ์น๋ ๋จ์ํ ๊ฐญ์ ํ์ํ๋ ๊ฒ์ ๋์ด, ์ด๋ฌํ ๊ฐ๊ฒฉ ๋ถ์ฐ์์ฑ์ด ๋ฏธ๋ ๊ฐ๊ฒฉ ์์ง์์ ์ํฅ์ ๋ฏธ์น๋ ๊ฐ๋ ฅํ ์ง์ง(Support)์ ์ ํญ(Resistance) ์์ญ์ผ๋ก ์์ฉํ๋ค๋ ์๋ฆฌ๋ฅผ ์๊ฐํํ๋ ๋ฐ ์์ต๋๋ค. ์ค์ ์์ฅ์์ ์ด๋ฌํ CME ๊ฐญ์ ๋์ ํ๋ฅ ๋ก ๋ฏธ๋์ "๋งค๊ฟ์ง๊ฑฐ๋" ์ค์ํ ๋ฐ์ ๊ตฌ๊ฐ์ผ๋ก ๊ธฐ๋ฅํ์ฌ ํธ๋ ์ด๋์๊ฒ ๊ท์คํ ์ง์
/ํด์ถ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ์ ๋ฐฉ์ ๊ฐญ ๊ฐ์ง: ๋ชจ๋ ์์ฅ ์กฐ๊ฑด์์ ๋ฐ์ํ๋ ๊ฐญ์ ๊ฐ์ง
- ์ฃผ๋ง/๊ณตํด์ผ ํด์ฅ ๊ฐญ
- ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ ๊ฐญ
- ๊ฒฝ์ ์งํ/๋ด์ค ์ด๋ฒคํธ ์ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณ๋ ๊ฐญ
โข ์ง๊ด์ ์์ ๊ตฌ๋ถ:
- ํ๋์: ๊ฐญ์ด ์ง์ง ์ญํ ์ ํ ๋(๊ฐ๊ฒฉ์ด ๊ฐญ ์์ ์์ ๋)
- ๋นจ๊ฐ์: ๊ฐญ์ด ์ ํญ ์ญํ ์ ํ ๋(๊ฐ๊ฒฉ์ด ๊ฐญ ์๋์ ์์ ๋)
- ํ์: ์ด๋ฏธ ๋งค๊ฟ์ง ๊ฐญ(๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์์ ํ ํต๊ณผ)
โข ์ค์๊ฐ ์ญํ ์ ํ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์/์๋๋ก ์ด๋ํจ์ ๋ฐ๋ผ ์ง์งโ์ ํญ ์ญํ ์ ํ์ ์๋์ผ๋ก ์์ ๋ณ๊ฒฝ์ผ๋ก ์๊ฐํ
โข ์ํ ์ถ์ ์์คํ
: ๊ฐญ์ด "๋งค๊ฟ์ง(Filled)" ๋๋ "๋งค๊ฟ์ง์ง ์์(Unfilled)" ์ํ๋ฅผ ์๋ ์ถ์
โข ๋ค์ด๋๋ฏน ๋ฐ์ค: ๊ฐญ ์์ญ์ ๋ช
ํํ ๋ฐ์ค๋ก ํ์ํ๊ณ ๊ฐ๊ฒฉ ์์ง์์ ๋ฐ๋ผ ๋์ ์ผ๋ก ์์ ๋ณ๊ฒฝ
โข ์ ๋ฐ ๋ ์ด๋ธ๋ง: ๊ฐ ๊ฐญ์ ๊ฐ๊ฒฉ ๋ฒ์๋ฅผ ์ ํํ ํ์ํ์ฌ ํธ๋ ์ด๋์ ์์ฌ๊ฒฐ์ ์ง์
โข ์ค๋งํธ ํํฐ๋ง: ์ฐ์์ ๊ฐญ ๊ฐ์ง ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ ๊ฐ์ ๋ ์๊ณ ๋ฆฌ์ฆ์ผ๋ก ๋๋ฝ ์๋ ๊ฐญ ์ถ์
โข ํต์ฌ ํ์ฉ ํฌ์ธํธ:
- ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์ ๊ทผํ ๋ ํน๋ณํ ์ฃผ๋ชฉํ์ธ์
- ๊ฐญ ์์ ๋ณ๊ฒฝ ์์ ์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ ์ ํธ์
๋๋ค
- ์ฌ๋ฌ ๊ฐญ์ด ๋ฐ์ง๋ ์์ญ์ ํนํ ๊ฐํ ๋ฐ์์ด ์์๋๋ ๊ตฌ๊ฐ์
๋๋ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฌ์ฉ ๊ฐ์ด๋: ์์์ผ๋ก ์ดํดํ๋ ๊ฐญ ์ญํ
โ ์์ ์์คํ
ํด์๋ฒ
โข ํ๋์ ๊ฐญ (์ง์ง ์ญํ ):
โถ ์๋ฏธ: ํ์ฌ ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ ์์ด ๊ฐญ์ด ์ง์ง์ ์ผ๋ก ์์ฉ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ๊ฐ๊ฒฉ์ด ํ๋์ ๊ฐญ ์์ญ์ผ๋ก ํ๋ฝ ์ ๊ทผ ์ ๋งค์ ๊ธฐํ ๊ณ ๋ ค
โถ ์ฌ๋ฆฌ์ ์๋ฏธ: ๋งค์์ธ๋ ฅ์ด ์ด ๊ฐ๊ฒฉ๋์์ ์์ ์ฆ๊ฐ ๊ฐ๋ฅ์ฑ
โข ๋นจ๊ฐ์ ๊ฐญ (์ ํญ ์ญํ ):
โถ ์๋ฏธ: ํ์ฌ ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋์ ์์ด ๊ฐญ์ด ์ ํญ์ ์ผ๋ก ์์ฉ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ๊ฐ๊ฒฉ์ด ๋นจ๊ฐ์ ๊ฐญ ์์ญ์ผ๋ก ์์น ์ ๊ทผ ์ ๋งค๋ ๊ธฐํ ๊ณ ๋ ค
โถ ์ฌ๋ฆฌ์ ์๋ฏธ: ๋งค๋์ธ๋ ฅ์ด ์ด ๊ฐ๊ฒฉ๋์์ ๊ณต๊ธ ์ฆ๊ฐ ๊ฐ๋ฅ์ฑ
โข ํ์ ๊ฐญ (๋งค๊ฟ์ง ๊ฐญ):
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์์ ํ ํต๊ณผํ์ฌ ๊ฐญ์ด ๋งค๊ฟ์ง ์ํ
โถ ์ฐธ์กฐ ๊ฐ์น: ๊ณผ๊ฑฐ ์ค์ ๋ฐ์ ๊ตฌ๊ฐ์ผ๋ก ์ฌ์ ํ ์ฐธ๊ณ ๊ฐ์น ์์
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ์ธ ๊ฐ๋ ํ์ธ ๋ฐ ์ฃผ์ ์ฌ๋ฆฌ์ ๋ ๋ฒจ ์๋ณ์ ํ์ฉ
โ ์์ ์ ํ ์ดํดํ๊ธฐ
โข ํ๋์ โ ๋นจ๊ฐ์ ์ ํ:
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋๋ก ํ๋ฝํ์ฌ ๊ฐญ์ด ์ง์ง์์ ์ ํญ์ผ๋ก ์ญํ ๋ณ๊ฒฝ
โถ ์์ฅ ํด์: ์ด์ ์ง์ง์ ๋ถ๊ดด๋ก ์ฝ์ธ ์ ํธ ๊ฐํ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ๊ฐ ํ๋ฝ ๊ฐ๋ฅ์ฑ ๊ณ ๋ ค, ๋ฐ๋ฑ ์ ๊ฐญ ํ๋จ ์ ํญ ํ์ธ
โข ๋นจ๊ฐ์ โ ํ๋์ ์ ํ:
โถ ์๋ฏธ: ๊ฐ๊ฒฉ์ด ๊ฐญ ์๋ก ์์นํ์ฌ ๊ฐญ์ด ์ ํญ์์ ์ง์ง๋ก ์ญํ ๋ณ๊ฒฝ
โถ ์์ฅ ํด์: ์ด์ ์ ํญ์ ๋ํ๋ก ๊ฐ์ธ ์ ํธ ๊ฐํ
โถ ํธ๋ ์ด๋ฉ ์์ฉ: ์ถ๊ฐ ์์น ๊ฐ๋ฅ์ฑ ๊ณ ๋ ค, ์กฐ์ ์ ๊ฐญ ์๋จ ์ง์ง ํ์ธ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํ์ฉ ๊ฐ์ด๋
โ ๊ธฐ๋ณธ ํธ๋ ์ด๋ฉ ์๋๋ฆฌ์ค
โข ํ๋์ ๊ฐญ ์ง์ง ์ ๋ต:
โถ ์ง์
์์ : ๊ฐ๊ฒฉ์ด ํ๋์ ๊ฐญ ์๋จ์ ์ ๊ทผํ์ฌ ๋ฐ๋ฑ ์บ๋ค ํ์ฑ ์
โถ ์์ ์์น: ๊ฐญ ํ๋จ ์๋(๊ฐญ ์์ ํ ํํฅ ๋ํ ์)
โถ ์ด์ต์คํ: ์ด์ ์ค์ ๊ณ ์ ๋๋ ์๋ฐฉ ๋ค์ ์ ํญ์
โถ ํ๋ฅ ์ฆ๊ฐ ์กฐ๊ฑด: ๊ฐญ๊ณผ ์ฃผ์ ์ด๋ํ๊ท ์ ์ผ์น, ๊ณผ๋งค๋ RSI, ๊ฐํ ๋ฐ๋ฑ ์บ๋ค
โข ๋นจ๊ฐ์ ๊ฐญ ์ ํญ ์ ๋ต:
โถ ์ง์
์์ : ๊ฐ๊ฒฉ์ด ๋นจ๊ฐ์ ๊ฐญ ํ๋จ์ ์ ๊ทผํ์ฌ ๊ฑฐ๋ถ ์บ๋ค ํ์ฑ ์
โถ ์์ ์์น: ๊ฐญ ์๋จ ์(๊ฐญ ์์ ํ ์ํฅ ๋ํ ์)
โถ ์ด์ต์คํ: ์ด์ ์ค์ ์ ์ ๋๋ ํ๋ฐฉ ๋ค์ ์ง์ง์
โถ ํ๋ฅ ์ฆ๊ฐ ์กฐ๊ฑด: ๊ฐญ๊ณผ ์ฃผ์ ์ด๋ํ๊ท ์ ์ผ์น, ๊ณผ๋งค์ RSI, ๊ฐํ ๊ฑฐ๋ถ ์บ๋ค
โ ๊ณ ๊ธ ํจํด ํ์ฉ๋ฒ
โข ๋ค์ค ๊ฐญ ํด๋ฌ์คํฐ ์๋ณ:
โถ ์ฌ๋ฌ ๊ฐญ์ด ๊ทผ์ ํ ๊ฐ๊ฒฉ๋์ ์๋ค๋ฉด ๋์ฑ ๊ฐ๋ ฅํ ์ง์ง/์ ํญ ์กด
โถ ๋์ผ ์์ ๊ฐญ ํด๋ฌ์คํฐ: ๋งค์ฐ ๊ฐ๋ ฅํ ๋จ์ผ ๋ฐฉํฅ ๋ฐ์ ๊ตฌ๊ฐ
โถ ์์ ํผํฉ ๊ฐญ ํด๋ฌ์คํฐ: ์ฌํ ๋ณ๋์ฑ๊ณผ ์๋ฐฉํฅ ๋ฐ์ ์์ ๊ตฌ๊ฐ
โข ๊ฐญ ์ํ์ค ๋ถ์:
โถ ์ฐ์์ ์ธ ๋์ผ ๋ฐฉํฅ ๊ฐญ: ๊ฐํ ์ถ์ธ ํ์ธ ์ ํธ
โถ ๊ฐญ ํฌ๊ธฐ ์ฆ๊ฐ ํจํด: ์ถ์ธ ๊ฐ์ํ ์ ํธ
โถ ๊ฐญ ํฌ๊ธฐ ๊ฐ์ ํจํด: ์ถ์ธ ์ฝํ ์ ํธ
โข ๋ด์ค/์งํ ๋ฐํ ํ ๊ฐญ ํ์ฉ:
โถ ๊ฒฝ์ ์งํ ๋ฐํ ์งํ ํ์ฑ๋ ๊ฐญ: ์์ฅ ์ถฉ๊ฒฉ ๊ฐ๋ ์ธก์
โถ ๊ฐญ ์์ ๋ณํ ๊ด์ฐฐ: ์์ฅ์ ๋ด์ค ์ฌํด์ ๊ณผ์ ํ์
โถ ๊ฐญ ๋งค๊ฟ ์๋ ๋ถ์: ๋ด์ค ์ํฉํธ์ ์ง์์ฑ ํ๊ฐ
โข ํต์ฌ ์ฃผ๋ชฉ ํฌ์ธํธ:
โถ ๊ฐ๊ฒฉ์ด ๊ฐญ ์์ญ์ ์ ๊ทผํ ๋๋ง๋ค ์ฐจํธ๋ฅผ ํน๋ณํ ์ฃผ๋ชฉํ์ธ์
โถ ๊ฐญ ์์์ด ๋ณ๊ฒฝ๋๋ ์์ ์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ๋ฅผ ์๋ฏธํฉ๋๋ค
โถ ์ฌ๋ฌ ๊ฐญ์ด ๋ฐ์ง๋ ์์ญ์ ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ๋ฐ์ํ ๊ฐ๋ฅ์ฑ์ด ๋์ต๋๋ค
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ธฐ์ ์ ๊ธฐ๋ฐ
โ CME ๊ฐญ์ ๋ฐ์ ์๋ฆฌ
โข ์ฃผ์ ๊ฐญ ๋ฐ์ ์ํฉ:
โถ ์ฃผ๋ง ํด์ฅ (๊ธ์์ผ ์ข
๊ฐ โ ์์์ผ ์๊ฐ): ๊ฐ์ฅ ์ผ๋ฐ์ ์ธ CME ๊ฐญ ํ์ฑ ์์
โถ ๊ณตํด์ผ ํด์ฅ: ๋ฏธ๊ตญ ๊ณตํด์ผ์ ๋ฐ๋ฅธ CME ํด์ฅ ์ ๋ฐ์
โถ ํ์ผ 1์๊ฐ ํด์ฅ: CME ์์ฅ์ ์ผ์ผ ์ ๋น ์๊ฐ(16:00~17:00 CT) ๋์ ๋ฐ์
โถ ์ฃผ์ ๊ฒฝ์ ์งํ ๋ฐํ: ๋ฏธ ๊ณ ์ฉ์งํ, FOMC ๊ฒฐ์ , CPI ๋ฑ ๋ฐํ ์ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณ๋์ผ๋ก ์ธํ ๊ฐญ
โถ ์ค์ ๋ด์ค ์ด๋ฒคํธ: ๊ท์ ๋ฐํ, ์ง์ ํ์ ์ด๋ฒคํธ, ์์ฅ ์ถฉ๊ฒฉ ๋ฑ์ผ๋ก ์ธํ ๊ธ๊ฒฉํ ๊ฐ๊ฒฉ ๋ณํ
โข ๊ฐญ์ ์ฌ๋ฆฌ์ ์ค์์ฑ:
โถ ๊ฐ๊ฒฉ ํ์ฑ์ด ์ด๋ฃจ์ด์ง์ง ์์ ๊ตฌ๊ฐ์ผ๋ก, ๋งค์/๋งค๋ ์ธ๋ ฅ์ ๋ถ๊ท ํ ์์ญ
โถ ๊ฐญ ๊ตฌ๊ฐ์๋ ์ค์ ๊ฑฐ๋๊ฐ ์์๊ธฐ ๋๋ฌธ์ ์ ์ฌ์ ์ฃผ๋ฌธ์ด ๋์ ๋๋ ์์ญ
โถ ๊ธฐ๊ด ํฌ์์๋ค์ ์ ๋ฌผ ํฌ์ง์
๊ณผ ์ ๋์ฑ ๋ถํฌ๊ฐ ๋ฐ์๋ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ
โ ์ง์ง/์ ํญ์ผ๋ก ์์ฉํ๋ ์๋ฆฌ
โข ์ฌ๋ฆฌ์ ๋ ๋ฒจ ํ์ฑ ๋ฉ์ปค๋์ฆ:
โถ ๊ฐญ ๊ตฌ๊ฐ์ ๋ฏธ์คํ ์ฃผ๋ฌธ ์ถ์ : ๊ฐญ ๋ฐ์ ์ ํด๋น ๊ฐ๊ฒฉ๋์ ๋ํ ์ฃผ๋ฌธ ๊ธฐํ ์์ค
โถ ์ ๋์ฑ ๋ถ๊ท ํ: ๊ฐญ ๊ตฌ๊ฐ์๋ ๊ฑฐ๋๊ฐ ์์์ผ๋ฏ๋ก ์ ๋์ฑ ๊ณต๋ฐฑ ๋ฐ์
โถ ๊ธฐ๊ด ํฌ์์ ํ๋: CME ์ ๋ฌผ ์์ฅ์ ๊ธฐ๊ด ์ฐธ์ฌ์๋ค์ ์ด๋ฌํ ๊ฐญ ์์ญ์ ๊ด์ฌ
โข ์ง์ง/์ ํญ ์์ฉ ์ฆ๊ฑฐ:
โถ ํต๊ณ์ ๊ฐญ ํ ํ์: ๋๋ถ๋ถ์ ๊ฐญ์ ๋ฏธ๋์ "๋งค๊ฟ์ง"(๊ฐ๊ฒฉ์ด ๊ฐญ ๊ตฌ๊ฐ์ผ๋ก ํ๊ท)
โถ ๊ฐญ ๊ธฐ๋ฐ ๋ฐ์: ๊ฐญ ์์ญ์ ๋๋ฌ ์ ๊ฐ๊ฒฉ ๋ฐ์(๋ฐ๋ฑ/๊ฑฐ๋ถ) ๋ฐ์ ๋น๋ ์ฆ๊ฐ
โถ ์์ฅ ์ฌ๋ฆฌ ์ํฅ: ํธ๋ ์ด๋๋ค์ ์ธ์ง๋ ๊ฐ์น์ ๊ณต์ ๊ฐ๊ฒฉ ํ๊ฐ์ ์ํฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ณ ๊ธ ์ค์ ์ต์
โ ์๊ฐํ ์ค์
โข ๋ผ๋ฒจ ํ์ ์ค์ (Show Gap Labels) (๊ธฐ๋ณธ๊ฐ: ์ผ์ง)
โถ ์ผ์ง: ๊ฐ ๊ฐญ์ ๊ฐ๊ฒฉ ๋ฒ์๋ฅผ ์ซ์๋ก ํ์ํ์ฌ ์ ํํ ์ง์ง/์ ํญ ๋ ๋ฒจ ํ์ธ
โถ ๊บผ์ง: ์๊ฐ์ ๊น๋ํจ์ ์ํด ๋ผ๋ฒจ ์จ๊น
โข ์์ ์ค์
โถ ๋งค๊ฟ์ง ๊ฐญ ์์(Filled Gap Color): ํ์ ๊ณ์ด, ์ด๋ฏธ ๊ฐ๊ฒฉ์ด ํต๊ณผํ ๊ฐญ ํ์
โถ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ ์์ - ์ง์ง(Support): ํ๋์, ํ์ฌ ์ง์ง ์ญํ ์ ํ๋ ๊ฐญ
โถ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ ์์ - ์ ํญ(Resistance): ๋นจ๊ฐ์, ํ์ฌ ์ ํญ ์ญํ ์ ํ๋ ๊ฐญ
โ ๋ฐ์ดํฐ ๊ด๋ฆฌ ์ค์
โข ๋งค๊ฟ์ง ๊ฐญ ์ ์ฅ ํ๋ (Filled Gap Storage Limit) (๊ธฐ๋ณธ๊ฐ: 10)
โถ ์ด๋ฏธ ๋งค๊ฟ์ง ๊ฐญ์ ์ต๋ ๋ช ๊ฐ๊น์ง ์ฐจํธ์ ์ ์งํ ์ง ์ค์
โถ ๊ถ์ฅ ์ค์ : ๋จ๊ธฐ ํธ๋ ์ด๋(5-8), ์ค์ ํธ๋ ์ด๋(8-12), ํฌ์ง์
ํธ๋ ์ด๋(10-15)
โข ์ต๋ ๊ฐญ ๋ณด๊ด ๊ธฐ๊ฐ (Maximum Gap Retention Period) (๊ธฐ๋ณธ๊ฐ: 12๊ฐ์)
โถ ์ค๋๋ ๋ฏธ๋งค๊ฟ์ง ๊ฐญ์ ์๋์ผ๋ก ์ ๊ฑฐํ๋ ๊ธฐ๊ฐ ์ค์
โถ ๊ถ์ฅ ์ค์ : ๋จ๊ธฐ ๋ถ์(3-6๊ฐ์), ์ค๊ธฐ ๋ถ์(6-12๊ฐ์), ์ฅ๊ธฐ ๋ถ์(12-24๊ฐ์)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ๋ณผ๋ฅจ ํ๋กํ์ผ: CME ๊ฐญ๊ณผ ๋ณผ๋ฅจ ํ๋กํ์ผ์ ๋ฐธ๋ฅ ์์ญ ์ผ์น ์ ๋ฐ์ ํ๋ฅ ํฌ๊ฒ ์ฆ๊ฐ
โข ํผ๋ณด๋์น ๋ฆฌํธ๋ ์ด์ค๋จผํธ: ์ฃผ์ ํผ๋ณด๋์น ๋ ๋ฒจ๊ณผ ๊ฐญ ์์ญ ์ผ์น ์ ๊ฐ๋ ฅํ ๋ฐ์ ์กด ํ์ฑ
โข ์ด๋ํ๊ท ์ : ์ฃผ์ ์ด๋ํ๊ท ์ ๊ณผ CME ๊ฐญ์ด ๊ฒน์น๋ ์์ญ์ "๋ณตํฉ ์ง์ง/์ ํญ"์ผ๋ก ์์ฉ
โข ์ํ ์ง์ง/์ ํญ: ๊ณผ๊ฑฐ ์ค์ ๊ฐ๊ฒฉ๋์ CME ๊ฐญ ์ผ์น ์ ๋งค์ฐ ๊ฐ๋ ฅํ ๊ฐ๊ฒฉ ๋ฐ์ ์์ ๊ฐ๋ฅ
โข ์์ฅ ์ฌ๋ฆฌ ์งํ(RSI/MACD): ๊ฐญ ์์ญ ์ ๊ทผ ์ ๊ณผ๋งค์/๊ณผ๋งค๋ ํ์ธ์ผ๋ก ๋ฐ์ ๊ฐ๋ฅ์ฑ ํ๋จ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
52SIGNAL RECIPE CME Gap Support & Resistance Detector๋ ๋จ์ํ ๊ฐญ ํ์ ๋๊ตฌ๊ฐ ์๋, ๊ฐ๊ฒฉ์ด ๊ฐํ๊ฒ ๋ฐ์ํ ์ ์๋ ์ค์ํ ์ง์ง/์ ํญ ์์ญ์ ์ง๊ด์ ์ธ ์์ ์ฝ๋(ํ๋์=์ง์ง, ๋นจ๊ฐ์=์ ํญ)๋ก ์๊ฐํํ๋ ๊ณ ๊ธ ๋ถ์ ๋๊ตฌ์
๋๋ค. ์ฃผ๋ง๊ณผ ๊ณตํด์ผ ํด์ฅ ์๊ฐ๋ฟ๋ง ์๋๋ผ, ํ์ผ 1์๊ฐ ํด์ฅ ์๊ฐ, ์ค์ ๊ฒฝ์ ์งํ ๋ฐํ, ๊ทธ๋ฆฌ๊ณ ์์ฅ ์ถฉ๊ฒฉ ์ํฉ์์ ๋ฐ์ํ๋ ๋ชจ๋ ์ ํ์ ๊ฐญ์ ๋๋ฝ ์์ด ๊ฐ์งํฉ๋๋ค.
์ธ๋์ผ์ดํฐ์ ํต์ฌ ๊ฐ์น๋ ๊ฐญ์ด ๋จ์ํ ๊ฐ๊ฒฉ ๋ถ์ฐ์์ฑ์ด ์๋, ๋ฏธ๋ ๊ฐ๊ฒฉ ํ๋์ ์ค์ํ ์ํฅ์ ๋ฏธ์น๋ ์ฌ๋ฆฌ์ ์ง์ง/์ ํญ ์์ญ์์ ์ง๊ด์ ์ธ ์์ ์ฝ๋๋ก ๋ช
ํํ ํํํ๋ ๋ฐ ์์ต๋๋ค. ํ๋์ ๊ฐญ์ ์ง์ง ์ญํ ์, ๋นจ๊ฐ์ ๊ฐญ์ ์ ํญ ์ญํ ์ ํ๋ ์์ญ์ ์ฆ๊ฐ์ ์ผ๋ก ์๋ณํ ์ ์์ด ํธ๋ ์ด๋๊ฐ ๋น ๋ฅด๊ณ ํจ๊ณผ์ ์ธ ์์ฌ๊ฒฐ์ ์ ๋ด๋ฆด ์ ์๋๋ก ๋์์ค๋๋ค.
๊ฐญ ์์ญ์ ์ ๊ทผํ ๋๋ง๋ค ์์ ์ฝ๋๋ฅผ ์ฐธ๊ณ ํ์ฌ ๊ฐ๋ฅํ ๊ฐ๊ฒฉ ๋ฐ์์ ์์ธกํ๊ณ , ํนํ ์์ ์ ํ์ด ์ผ์ด๋๋ ์๊ฐ(ํ๋์โ๋นจ๊ฐ์ ๋๋ ๋นจ๊ฐ์โํ๋์)์ ์ค์ํ ์์ฅ ์ฌ๋ฆฌ ๋ณํ ์ ํธ๋ก ํด์ํ์ฌ ํธ๋ ์ด๋ฉ ์ ๋ต์ ํตํฉํ๋ค๋ฉด, ๋ ๋์ ํ๋ฅ ์ ๊ฑฐ๋ ๊ธฐํ๋ฅผ ํฌ์ฐฉํ ์ ์์ ๊ฒ์
๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, CME Gap Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉ๋์ด์ผ ํ๋ฉฐ ๋จ๋
์ผ๋ก ๊ฑฐ๋ ๊ฒฐ์ ์ ๋ด๋ฆฌ๋ ๋ฐ ์ฌ์ฉํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ฐญ ๋ฐ์ ํจํด์ด ๋ฏธ๋์๋ ๋์ผํ๊ฒ ์์ฉํ๋ค๊ณ ๋ณด์ฅํ ์ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ์ฌ์ฉํ์ธ์.
Liquidity Break Probability [PhenLabs]๐ Liquidity Break Probability
Version: PineScriptโข v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
๐ Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
๐ง Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
๐ฅ Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
๐จ Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
๐ Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
โ
Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
โ ๏ธ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
๐ก What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
๐ฌ How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
๐ก Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis
A Journey from Theory to Trading Reality
What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals.
The Theoretical Foundation
Lorentzian Distance in Market Space
Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure:
d(x,y) = ฮฃ ln(1 + |xi - yi|)
This logarithmic formulation naturally handles:
Scale invariance: Large price moves don't overwhelm small but significant patterns
Outlier robustness: Extreme values are dampened rather than dominating
Non-linear relationships: Captures market behavior better than linear metrics
K-Nearest Neighbors with Relativistic Weighting
The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance:
w = 1 / (1 + distance)
This creates a "gravitational" effect where closer patterns have stronger influence on predictions.
The Implementation Challenge
Creating meaningful market features required extensive experimentation:
Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average
Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio
Each feature undergoes min-max normalization to ensure equal weighting in distance calculations.
The Prediction Mechanism
For each current market state:
Feature Vector Construction: 12-dimensional representation of market conditions
Historical Search: Scan lookback period for similar patterns using Lorentzian distance
Neighbor Selection: Identify K nearest historical matches
Outcome Analysis: Examine what happened N bars after each match
Weighted Prediction: Combine outcomes using distance-based weights
Confidence Calculation: Measure agreement between neighbors
Technical Hurdles Overcome
Array Management: Complex indexing to prevent look-ahead bias
Distance Calculations: Optimizing nested loops for performance
Memory Constraints: Balancing lookback depth with computational limits
Signal Filtering: Preventing clustering of identical signals
Advanced Dashboard System
Main Control Panel
The primary dashboard provides real-time market intelligence:
Signal Status: Current prediction with confidence percentage
Neighbor Analysis: How many historical patterns match current conditions
Market Regime: Trend strength, volatility, and volume analysis
Temporal Context: Real-time updates with timestamp
Performance Analytics
Comprehensive tracking system monitors:
Win Rate: Percentage of successful predictions
Signal Count: Total predictions generated
Streak Analysis: Current winning/losing sequence
Drawdown Monitoring: Maximum equity decline
Sharpe Approximation: Risk-adjusted performance estimate
Risk Assessment Panel
Multi-dimensional risk analysis:
RSI Positioning: Overbought/oversold conditions
ATR Percentage: Current volatility relative to price
Bollinger Position: Price location within volatility bands
MACD Alignment: Momentum confirmation
Confidence Heatmap
Visual representation of prediction reliability:
Historical Confidence: Last 10 periods of prediction certainty
Strength Analysis: Magnitude of prediction values over time
Pattern Recognition: Color-coded confidence levels for quick assessment
Input Parameters Deep Dive
Core Algorithm Settings
K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets.
Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes.
Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe.
Feature Selection
Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation
Signal Generation
Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading.
Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities.
Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag.
Visual Design Philosophy
Color Themes
Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics
Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors
Information Hierarchy
The dashboard system prioritizes information by importance:
Primary Signals: Largest, most prominent display
Confidence Metrics: Secondary but clearly visible
Supporting Data: Detailed but unobtrusive
Historical Context: Available but not distracting
Trading Applications
Signal Interpretation
Long Signals: Prediction > threshold with high confidence
Look for volume confirmation
- Check trend alignment
- Verify support levels
Short Signals: Prediction < -threshold with high confidence
Confirm with resistance levels
- Check for distribution patterns
- Verify momentum divergence
- Market Regime Adaptation
Trending Markets: Higher confidence in directional signals
Ranging Markets: Focus on reversal signals at extremes
Volatile Markets: Require higher confidence thresholds
Low Volume: Reduce position sizes, increase caution
Risk Management Integration
Confidence-Based Sizing: Larger positions for higher confidence signals
Regime-Aware Stops: Wider stops in volatile regimes
Multi-Timeframe Confirmation: Align signals across timeframes
Volume Confirmation: Require volume support for major signals
Originality and Innovation
This indicator represents genuine innovation in several areas:
Mathematical Approach
First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities.
Feature Engineering
Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form.
Visualization System
Professional-grade dashboard system providing comprehensive market intelligence in intuitive format.
Performance Tracking
Real-time performance analytics typically found only in institutional trading systems.
Development Journey
Creating this indicator involved overcoming numerous technical challenges:
Mathematical Complexity: Translating theoretical concepts into practical code
Performance Optimization: Balancing accuracy with computational efficiency
User Interface Design: Making complex data accessible and actionable
Signal Quality: Filtering noise while maintaining responsiveness
The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation.
Best Practices
- Parameter Optimization
- Start with default settings and adjust based on:
Market Characteristics: Volatile vs. stable
Trading Timeframe: Scalping vs. swing trading
Risk Tolerance: Conservative vs. aggressive
Signal Confirmation
Never trade on Lorentzian signals alone:
Price Action: Confirm with support/resistance
Volume: Verify with volume analysis
Multiple Timeframes: Check higher timeframe alignment
Market Context: Consider overall market conditions
Risk Management
Position Sizing: Scale with confidence levels
Stop Losses: Adapt to market volatility
Profit Targets: Based on historical performance
Maximum Risk: Never exceed 2-3% per trade
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution.
Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization.
Thank you for sharing the idea. You're more than a follower, you're a leader!
@vasanthgautham1221
Trade with precision. Trade with insight.
โ Dskyz , for DAFE Trading Systems
GexView๐โ OVERVIEW
GexView indicator plots the Historical Gamma Exposure (GEX) profile, directly on the chart. It enables traders and analysts to observe how GEX profile evolve across multiple days/sessions.
๐งฒโ CONCEPT
Today everybody uses Gamma Exposure. Gamma is the ROC (Rate of Change) for an optionโs delta. GEX is crucial for all traders, not just intraday traders, because it helps assess market stability and potential volatility shifts driven by options positioning.
High positive GEX generally implies a mean-reverting market, where big price swings are dampened, while negative GEX signals increased volatility and potential large moves.
Understanding GEX allows traders to anticipate liquidity-driven price action, identify key support and resistance levels, and adjust strategies accordingly. In todayโs market, where options flow heavily influences underlying assets, ignoring GEX can mean missing critical market dynamics that impact both short-term and long-term positions.
๐กโ UNIQUENESS
This indicator is a unique tool and offers a groundbreaking way to visualize market dynamics by plotting Historical Gamma Exposure (GEX), like a Volume Profile across multiple days or sessions. For the first time, traders can clearly see how GEX levels evolve over time, revealing how certain price zones gain or lose importance as market conditions change. This multi-session GEX profile allows users to identify persistent areas of dealer positioning and potential support or resistance that develop and shift over days. Unlike traditional GEX tools designed primarily for intraday use, this indicator provides valuable insight for both short-term traders and medium-term investors seeking to understand how option market flows influence price behaviour over extended periods.
โ๏ธโ FEATURES
โข Historical Gamma Exposure
The GexView indicator by default plots the last 6 days of the GEX profile, providing a framework for understanding the bigger picture.
โข GEX profile
Displays the 10 largest GEX levels across all expirations (thick lines), as well as the 10 largest GEX levels for the next expiration (thin lines, 0DTE or upcoming).
โข Update
Daily, after market close, based on new open interest. No more manual level imports.
Just one-click update.
โข Settings
Option to plot total sum GEX for all expirations, or only net GEX for next expiration.
โข Watchlist
SPX, NDX, DIA, SPY, QQQ, VIX, VXX, IBIT
(Additional tickers coming soon)
โข Mapping
The indicator automatically detects and maps the underlying ticker on your chart, or lets you plot any symbol from the available watchlist.
๐โ HOW TO USE
โข Identify intraday support and resistance levels shaped by option market dynamics
โข Quickly spot significant GEX levels and compare how they relate to other key levels.
โข Compare current vs. past GEX distributions for contextual trend analysis
โข Observe structural GEX shifts that may align with volatility or mean-reversion setups
โข Easily understanding if an asset trading on positive gamma (around green lines), or negative gamma (around red lines)
Examples:
1. DIA ETF
2. QQQ and VIX
๐โ NOTES
โข Calculation
GEX for All Expirations: This is the total sum (Call+Put) of gamma exposure of all expirations.
GEX for Nearest Expirations: This is the net sum (Call-Put) of gamma exposure of next expirations (0DTE if available).
โข Trading Session - RTH & ETH
The indicator can include the extended trading hours when activated on the chart.
โ
โ VISUALIZATION
โข Vertical implementation of gamma exposure profile.
โข Thick lines represent the total gamma exposure across all expiration contracts.
โข Thin lines represent the gamma exposure of next expiration only.
โข All Expirations: Green colour if Calls > Puts, Red colour if Calls < Puts
โข Next Expiration: Lime colour if Calls > Puts, Maroon colour if Calls < Puts
โ ๏ธ DISCLAIMER
This indicator is provided for informational and educational purposes only.โจIt does not constitute financial advice or a recommendation to buy or sell any financial instrument.โจHistorical Gamma patterns and analytical interpretations do not guarantee future performance.โจAll analysis should be combined with independent research and risk management.
DTR OI IndicatorThe DTR OI Indicator is a multi-exchange open interest indicator designed for futures traders.
It aggregates OI from multiple exchanges to provide a unified and more reliable view of market positioning.
MAIN FUNCTIONS
โข Open Interest Candles
โข Open Interest Delta
โข Delta ร Relative Volume
โข Open Interest RSI
โข Threshold-based alerts for unusually large OI increases or decreases
โข Optional OI EMA smoothing
PROFILE SYSTEM
Includes an OI-based distribution profile similar to a volume profile.
Shows Value Area, POC, and structural nodes based on OI activity within the visible chart range.
WHAT IT HELPS IDENTIFY
โข Liquidations and rekt events
โข Aggressive long/short buildup
โข Position unwinds ahead of reversals
โข OI-driven levels of interest
โข Momentum confirmation (Delta ร rVOL)
โข Trend exhaustion (OI RSI)
NOTES
โข Works across several exchanges for broader accuracy
โข Coin or USD quoting supported
โข Profile mode is resource-intensive
โข No repainting
Ideal for traders who rely on OI, delta, and market positioning to understand futures flows and liquidity shifts.
Daily POC Lines - Clustered
Overview
This indicator automatically plots horizontal lines at the Point of Control (POC) for each daily candle, intelligently clustering nearby levels to reduce visual noise and highlight the most significant price zones where volume concentration occurred.
What Makes This Original
Unlike standard volume profile indicators that show static profiles for the entire chart, this script:
Calculates individual POC levels for each daily candle within a user-defined lookback period
Implements an intelligent clustering algorithm that merges POC levels within a customizable percentage threshold, preventing chart clutter from redundant lines
Dynamically highlights high-significance clusters (multiple days sharing the same POC level) with customizable visual styling
Provides granular control over line extension, label positioning, and visual appearance
How It Works
The script divides each daily candle's price range into configurable bins (default 20) and distributes the day's volume across these levels to approximate the POC. When multiple days produce POC levels within the specified clustering threshold (default 2%), they merge into a single line with a counter showing how many days share that level.
Key Features
Adjustable lookback period (1-500 candles)
Intelligent clustering with customizable threshold percentage
Separate styling controls for regular POCs vs. high-count clusters
Toggle visibility for lines and labels independently
Configurable line colors, widths, styles (solid/dashed/dotted), and extension
Date labels with cluster count indicators
Adjustable label positioning and offset
Use Cases
Traders can use clustered POC levels to:
Identify key support and resistance zones based on historical volume concentration
Recognize high-significance price levels where multiple days' POCs converge
Reduce chart clutter while maintaining visibility of important volume-based levels
Combine with other technical analysis methods for confluence
Settings
The indicator organizes inputs into four logical groups:
General Settings - Lookback period, cluster threshold, volume bins
Line Settings - Visibility, color, width, style, and extension options
Label Settings - Visibility, position, offset, and color
Cluster Highlights - Threshold and custom styling for high-count clusters
Important Notes
This script uses an approximation method for POC calculation by dividing each candle's range into bins. For maximum accuracy, use on daily timeframe charts. The clustering feature is particularly useful when analyzing longer lookback periods where many POC levels may naturally converge around similar price zones.
Technical Details
Written in Pine Script v5
Maximum 500 lines on chart
Requests daily timeframe data using security function
Uses arrays to store and manage POC data efficiently
Redraws all lines on the last bar for optimal performance
AtaโจSMAThis Pine Script v6 indicator performs three main functions on a trading chart:
Multiple Moving Averages (MA)
Displays 7 moving averages with fixed lengths (5, 10, 20, 30, 50, 100, 200).
Allows the user to select the MA type: SMA, EMA, WMA, or HMA.
Each MA has a distinct color and line width for clear visual differentiation.
Support and Resistance (S/R) Levels
Identifies key price levels based on pivot points (local highs/lows) within a userโdefined lookback period.
Filters levels by:
Minimum strength (number of touches).
Maximum zone width (as a percentage of price range).
Timeframe (userโselectable: 5m to monthly).
Visualizes levels as horizontal zones (boxes) colored by type:
Red (res_col) for resistance.
Green (sup_col) for support.
Blue (inch_col) for indecision zones.
Optionally shows a table with level prices, types, and strength percentages.
Includes alert triggers for breakouts (price closing above resistance or below support).
Volume Profile (Side Volumes)
Builds a horizontal volume histogram to the right of the last bar, showing buy/sell volume distribution across price levels.
Highlights the Point of Control (POC) โ the price with the highest total volume.
Colors:
Light blue for buy volume.
Light red for sell volume.
Yellow for POC line.
Allows customization of:
Number of bars used for calculation.
Rightward shift of the volume profile.
POC line extension leftward.
Includes tooltips explaining POC and trading scenarios.
Summary:
The script combines trend-following MAs, dynamic S/R zones with alerts, and volume profile analysis into a single indicator for multiโfaceted market structure assessment.
TraderDemircan Auto Fibonacci RetracementDescription:
What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features:
Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors
Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618)
Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top
Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference
Complete Customization: Individual toggle controls and color selection for each of the 16 levels
Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both)
Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point)
Optional Trend Line: Connects the two swing points to visualize the overall price movement direction
How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base):
Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak):
After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method:
The indicator uses the top-down approach where:
1.0 Level = Swing High (100% retracement, the top)
0.0 Level = Swing Low (0% retracement, the bottom)
Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high
Extension Levels (1.115 to 3.618) = Potential target zones below the swing low
Formula: Price = SwingHigh - (SwingHigh - SwingLow) ร FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0):
0.0 (Gray): Swing low - the base support level
0.236 (Red): Shallow retracement, first minor support
0.382 (Orange): Moderate retracement, commonly watched support
0.5 (Purple): Psychological midpoint, significant support/resistance
0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone
0.786 (Cyan): Deep retracement, last defense before full reversal
1.0 (Gray): Swing high - the initial resistance level
Extension Levels (1.115 - 3.618):
1.115 (Green): First extension, minimal downside target
1.272 (Light Green): Minor extension, common profit target
1.414 (Yellow-Green): Square root of 2, mathematical significance
1.618 (Gold - Golden Extension): Primary downside target, most watched extension level
2.0 (Orange-Red): 200% extension, psychological round number
2.382 (Pink): Secondary extension target
2.618 (Purple): Deep extension, major target zone
3.272 (Deep Purple): Extreme extension level
3.618 (Blue): Maximum extension, rare but powerful target
How to Use:For Retracement Trading (Buying Pullbacks in Uptrends):
Wait for price to make a significant move up from swing low to swing high
When price starts pulling back, watch for reactions at key Fibonacci levels
Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio)
Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels
Place stop loss below the next Fibonacci level
Target: Return to swing high or higher extension levels
For Extension Trading (Profit Targets):
After price breaks below the swing low (0.0 level), use extensions as profit targets
First target: 1.272 (conservative)
Primary target: 1.618 (golden extension - most commonly reached)
Extended target: 2.618 (for strong trends)
Extreme target: 3.618 (only in powerful trending moves)
For Counter-Trend Trading (Fading Extremes):
When price reaches deep retracements (0.786 or below), look for exhaustion signals
Watch for divergences between price and momentum indicators at these levels
Enter reversal trades with tight stops below the swing low
Target: 0.5 or 0.382 levels on the bounce
For Trend Continuation:
In strong uptrends, shallow retracements (0.236 to 0.382) often hold
Use these as low-risk entry points to join the existing trend
Failure to hold 0.5 suggests weakening momentum
Breaking below 0.618 often indicates trend reversal, not just retracement
Multi-Timeframe Strategy:
Use daily timeframe Fibonacci for major support/resistance zones
Use 4H or 1H Fibonacci for precise entry timing within those zones
Confluence between multiple timeframe Fibonacci levels creates high-probability zones
Example: Daily 0.618 level aligning with 4H 0.5 level = strong support
Settings Guide:Lookback Period (10-500):
Short (20-50): Captures recent swings, more frequent updates, suited for day trading
Medium (50-150): Balanced approach, good for swing trading (default: 100)
Long (150-500): Identifies major market structure, suited for position trading
Higher values = more stable levels but slower to adapt to new trends
Pivot Sensitivity (1-20):
Controls how many candles are required to confirm a swing point
Low (1-5): More sensitive, identifies minor swings (default: 5)
High (10-20): Less sensitive, only major swings qualify
Use higher sensitivity on lower timeframes to filter noise
Individual Level Toggles:
Enable only the levels you actively trade to reduce chart clutter
Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618
Comprehensive setup: Enable all levels for maximum information
Visual Customization:
Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading
Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary
Price Labels: Essential for knowing exact entry/exit prices
Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at
Extension Direction: Extend right for forward-looking analysis, left for historical context
What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from:
Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation
Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools
Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse
Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order
Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection)
Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity
Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are
Important Considerations:
Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance
Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels
Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing
Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines)
Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels
Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots
Best Practices:
Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume)
Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels
Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk
Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level
Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone
Respect the 0.618: This golden ratio level is historically the most reliable for reversals
Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low
Optimal Timeframes:
Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only
Day Trading (15m-1H): Lookback 50-100, all retracement levels important
Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions
Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning
Common Fibonacci Trading Mistakes to Avoid:
Wrong Swing Selection: Choosing insignificant swings produces meaningless levels
Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation
Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends
Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors
Static Analysis: Not updating your Fibonacci as market structure evolves
Arbitrary Lookback: Using the same lookback period for all assets and timeframes
Integration with Other Tools:Fibonacci + Moving Averages:
When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support
Price bouncing from both Fibonacci and MA simultaneously = high-probability trade
Fibonacci + RSI/Stochastic:
Oversold indicators at 0.618 or deeper retracements = strong buy signal
Overbought indicators at swing high (1.0) = potential reversal warning
Fibonacci + Volume Profile:
High-volume nodes aligning with Fibonacci levels create robust support/resistance
Low-volume areas near Fibonacci levels may see rapid price movement through them
Fibonacci + Trendlines:
Fibonacci retracement level + ascending trendline = double support
Breaking both simultaneously confirms trend change
Technical Notes:
Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period
Implements dynamic line and label arrays for clean redraws without memory leaks
All calculations update in real-time as new bars form
Extension options allow customization without modifying core code
Format.mintick ensures price labels match the symbol's minimum price increment
Tooltip on swing markers shows exact price values for precision
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite
English Description
SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies.
Core Components:
1. EMA System (Exponential Moving Averages)
13 customizable EMA lines with periods ranging from 8 to 2584
Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
Color-coded visualization for easy trend identification
Individual toggle controls for each EMA line
2. TFMA (Multi-Timeframe Moving Averages)
Cross-timeframe analysis with 3 independent EMA calculations
Real-time labels showing trend direction and price relationships
Customizable timeframes for each moving average
Percentage deviation display from current price
3. PMA (Precision Moving Average Cloud)
7-layer moving average system with customizable periods
Fill areas between moving averages for trend visualization
Support and resistance zone identification
Dynamic color-coded trend clouds
4. VWAP (Volume Weighted Average Price)
Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits)
Standard deviation bands for volatility analysis
Automatic session detection and anchoring
Statistical price level identification
5. Advanced Divergence Detector
12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External)
Regular and hidden divergences detection
Bullish and bearish signals with visual confirmation
Customizable sensitivity and filtering options
Real-time alerts for divergence formations
6. Volume Profile & Node Analysis
Comprehensive volume distribution analysis
Point of Control (POC) identification
Value Area High/Low (VAH/VAL) calculations
Volume peaks and troughs detection
Support and resistance levels based on volume
7. Smart Money Concepts
Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH)
Internal and swing structure detection
Equal highs and lows identification
Fair Value Gaps (FVG) detection and visualization
Liquidity zones and institutional flow analysis
8. Trading Sessions
9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE)
Real-time session status and countdown timers
Session volume and performance tracking
Customizable session boxes and labels
Statistical session analysis table
Key Features:
Modular Design: Enable/disable any component independently
Real-time Analysis: Live updates with market data
Multi-timeframe Support: Works across all chart timeframes
Customizable Alerts: Set alerts for any detected pattern or signal
Professional Visualization: Clean, organized display with customizable colors
Performance Optimized: Efficient code for smooth chart performance
Use Cases:
Trend Analysis: Identify market direction using multiple EMA systems
Entry/Exit Points: Use divergences and structure breaks for timing
Risk Management: Utilize volume profiles and session analysis for better positioning
Multi-timeframe Analysis: Confirm signals across different timeframes
Institutional Analysis: Track smart money flows and market structure
Perfect For:
Day traders seeking comprehensive market analysis
Swing traders needing multi-timeframe confirmation
Professional analysts requiring detailed market structure insights
Algorithmic traders looking for systematic signal generation
---
ไธญๆๆ่ฟฐ
SCTI - D14ๆฏไธไธชๅ
่ฟ็ๅค็ปไปถๆๆฏๅๆๆๆ ๏ผไธไธบไธไธไบคๆ่
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ๆ ธๅฟ็ปไปถ๏ผ
1. EMA็ณป็ป๏ผๆๆฐ็งปๅจๅนณๅ็บฟ๏ผ
13ๆกๅฏๅฎๅถEMA็บฟ๏ผๅจๆไป8ๅฐ2584
ๅบไบๆๆณข้ฃๅฅ็ๅจๆ๏ผ8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584๏ผ
้ข่ฒ็ผ็ ๅฏ่งๅ๏ผไพฟไบ่ถๅฟ่ฏๅซ
ๆฏๆกEMA็บฟ็็ฌ็ซๅๆขๆงๅถ
2. TFMA๏ผๅคๆถ้ดๆกๆถ็งปๅจๅนณๅ็บฟ๏ผ
่ทจๆถ้ดๆกๆถๅๆ๏ผๅ
ๅซ3ไธช็ฌ็ซ็EMA่ฎก็ฎ
ๅฎๆถๆ ็ญพๆพ็คบ่ถๅฟๆนๅๅไปทๆ ผๅ
ณ็ณป
ๆฏไธช็งปๅจๅนณๅ็บฟ็ๅฏๅฎๅถๆถ้ดๆกๆถ
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3. PMA๏ผ็ฒพๅฏ็งปๅจๅนณๅไบ๏ผ
7ๅฑ็งปๅจๅนณๅ็ณป็ป๏ผๅจๆๅฏๅฎๅถ
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ๅบๅ็จไบ่ถๅฟๅฏ่งๅ
ๆฏๆ้ปๅๅบๅ่ฏๅซ
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4. VWAP๏ผๆไบค้ๅ ๆๅนณๅไปทๆ ผ๏ผ
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ๆ ๅๅทฎๅธฆ็จไบๆณขๅจๆงๅๆ
่ชๅจๆถๆฎตๆฃๆตๅ้ๅฎ
็ป่ฎกไปทๆ ผๆฐดๅนณ่ฏๅซ
5. ้ซ็บง่็ฆปๆฃๆตๅจ
12ไธชๆๆฏๆๆ ็จไบ่็ฆปๅๆ๏ผMACDใRSIใ้ๆบๆๆ ใCCIใๅจๅปๅงๆฏ%RใBiasใๅจ้ใOBVใVW-MACDใCMFใMFIใๅค้จๆๆ ๏ผ
ๅธธ่งๅ้่่็ฆปๆฃๆต
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่็ฆปๅฝขๆ็ๅฎๆถ่ญฆๆฅ
6. ๆไบค้ๅๅธไธ่็นๅๆ
ๅ
จ้ข็ๆไบค้ๅๅธๅๆ
ๆงๅถ็น๏ผPOC๏ผ่ฏๅซ
ไปทๅผๅบๅ้ซ/ไฝ็น๏ผVAH/VAL๏ผ่ฎก็ฎ
ๆไบค้ๅณฐๅผๅไฝ่ฐทๆฃๆต
ๅบไบๆไบค้็ๆฏๆ้ปๅๆฐดๅนณ
7. ่ชๆ้ฑๆฆๅฟต
ๅธๅบ็ปๆๅๆ๏ผๅ
ๆฌ็ปๆ็ช็ ด๏ผBOS๏ผๅ็ปๆ่ฝฌๅ๏ผCHoCH๏ผ
ๅ
้จๅๆๅจ็ปๆๆฃๆต
็ญ้ซ็ญไฝ่ฏๅซ
ๅ
ฌๅ
ไปทๅผ็ผบๅฃ๏ผFVG๏ผๆฃๆตๅๅฏ่งๅ
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8. ไบคๆๆถๅบ
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ๆถๆฎตๆไบค้ๅ่กจ็ฐ่ท่ธช
ๅฏๅฎๅถๆถๆฎตๆกๅๆ ็ญพ
็ป่ฎกๆถๆฎตๅๆ่กจๆ ผ
ไธป่ฆ็นๆง๏ผ
ๆจกๅๅ่ฎพ่ฎก๏ผๅฏ็ฌ็ซๅฏ็จ/็ฆ็จไปปไฝ็ปไปถ
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ไฝฟ็จๅบๆฏ๏ผ
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ๅ
ฅๅบ/ๅบๅบ็น๏ผๅฉ็จ่็ฆปๅ็ปๆ็ช็ ด่ฟ่กๆถๆบ้ๆฉ
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้็จไบ๏ผ
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จ้ขๅธๅบๅๆ็ๆฅๅ
ไบคๆ่
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้่ฆ่ฏฆ็ปๅธๅบ็ปๆๆดๅฏ็ไธไธๅๆๅธ
ๅฏปๆฑ็ณป็ปๅไฟกๅท็ๆ็็ฎๆณไบคๆ่
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
โ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Key Features
โข Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
โข Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
โข Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
โข Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
โข Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
โข Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
โข Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
โข Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
โข Customizable Settings: Allows customization of key parameters to match your trading style
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โ Understanding Signal Types
โ Institutional Buy Signal
โข Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
โข Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
โข Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
โข Signal Strength Factors:
โถ Consecutive price increase patterns
โถ Above-average volume
โถ Strong upward trend strength measurement
โถ Significant price movement
โ Institutional Sell Signal
โข Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
โข Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
โข Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
โข Signal Strength Factors:
โถ Consecutive price decrease patterns
โถ Above-average volume
โถ Strong downward trend strength measurement
โถ Significant price movement
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โ Understanding Trend Strength
โ Trend Strength Measurement Method
โข Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
โข Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
โข Strength Threshold: Strong/weak determination according to user-configurable threshold
โข Calculation Method:
โถ Upward trend strength = (Number of upward candles) / (Total analysis period)
โถ Downward trend strength = (Number of downward candles) / (Total analysis period)
โถ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
โ Utilizing Trend Strength
โข Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
โข Trend Confirmation: Evaluates the health and sustainability of the current market trend
โข Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
โข Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
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โ Practical Trading Applications
โ Institutional Buy Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional buy signal during a downtrend
โถ Entry: Buy after signal confirmation in the next candle
โถ Stop Loss: Below the low of the signal candle
โถ Take Profit: When reaching previous major resistance or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional buy signal after correction in an uptrend
โถ Entry: Buy after signal confirmation
โถ Stop Loss: Below recent major low
โถ Take Profit: Gradually take profits considering trend strength
โ Institutional Sell Signal Strategy
โข Trend Reversal Scenario:
โถ Setup: Strong institutional sell signal during an uptrend
โถ Entry: Sell after signal confirmation in the next candle
โถ Stop Loss: Above the high of the signal candle
โถ Take Profit: When reaching previous major support or when trend strength weakens
โข Trend Continuation Scenario:
โถ Setup: Institutional sell signal after bounce in a downtrend
โถ Entry: Sell after signal confirmation
โถ Stop Loss: Above recent major high
โถ Take Profit: Gradually take profits considering trend strength
โ Multi-Timeframe Approach
โข Higher Timeframe Direction Confirmation:
โถ Check institutional signals and trend strength on daily/4-hour charts
โถ Use for setting main trading direction
โข Lower Timeframe Entry Point Finding:
โถ Wait for lower timeframe signals that align with higher timeframe direction
โถ Use for capturing precise entry points
โข Cross-Timeframe Signal Alignment:
โถ Signal strength increases when signals occur in the same direction across multiple timeframes
โถ Capture high-probability trading opportunities
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โ Indicator Settings Guide
โ Main Setting Parameters
โข Institutional Continuity Period:
โถ Purpose: Sets the period to check institutional consecutive buying/selling activity
โถ Lower value: Generates more signals, increases responsiveness
โถ Higher value: Reduces number of signals, increases reliability
โข Trend Strength Threshold:
โถ Purpose: Sets the minimum threshold for determining strong trends
โถ Lower value: More signals, less filtering
โถ Higher value: Generates signals only in stronger trends, higher filtering
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โ Synergy with Other Indicators
โข Support/Resistance Levels:
โถ Institutional signals occurring at key support/resistance levels have higher probability
โถ Combination of key technical analysis levels and institutional activity provides powerful signals
โข Moving Averages:
โถ Pay attention to institutional signals near key moving averages (50MA, 200MA)
โถ Strong trend change possibility when moving average crossovers coincide with institutional signals
โข RSI/Momentum Indicators:
โถ Institutional buy signals in oversold conditions increase reversal probability
โถ Institutional sell signals in overbought conditions increase reversal probability
โข Volume Profile:
โถ Institutional signals at high volume nodes confirm important price levels
โถ Institutional activity in key trading areas greatly impacts price direction
โข Market Structure:
โถ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
โถ Coincidence of market structure changes and institutional activity indicates important trend turning points
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โ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
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โป Disclaimer: Like all trading tools, the Institutional 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.
Coinbase Institutional Smart Money Detector
โ ๊ฐ์
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์(Coinbase Prime)์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๋งค์/๋งค๋ ์์ง์์ ์ค์๊ฐ์ผ๋ก ๊ฐ์งํ๋ ํ์ ์ ์ธ ์งํ์
๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ ๋ํ ๊ธฐ๊ด๋ค์ ์๊ธ ํ๋ฆ์ ์ถ์ ํ์ฌ ์ค์ํ ์์ฅ ๋ฐฉํฅ ์ ํ์ด ์ผ์ด๋๊ธฐ ์ ์ ๊ท์คํ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ํธ๋ ์ด๋๋ค์ด ์ธ์ ์ด๋์๋ ๊ธฐ๊ด์ "์ค๋งํธ ๋จธ๋" ์์ง์์ ๋ฐ๋ผ๊ฐ ์ ์๊ฒ ํด์ค๋๋ค.
์ด ์งํ์ ๋
๋ณด์ ์ธ ๊ฐ์ ์ ์ฝ์ธ๋ฒ ์ด์ค ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด ํฌ์์๋ค์ ์ฐ์์ ์ธ ๋งค๋งค ํ๋, ๊ฑฐ๋๋ ํจํด, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ํ๊ฐํ๋ค๋ ์ ์
๋๋ค. ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ช
ํํ๊ฒ ์ ๊ณตํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ฃผ์ ํน์ง
โข ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ ๋ถ์: ๊ธฐ๊ด ์ ์ฉ ์๋น์ค์ธ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ๋ฐ์ดํฐ๋ฅผ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์์ง์ ํฌ์ฐฉ
โข ์ค์๊ฐ ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ชจ๋ํฐ๋ง: ๋ํ ๊ธฐ๊ด๋ค์ ํ๋ฌผ ๋งค์/๋งค๋ ํ๋์ ์ฆ๊ฐ์ ์ผ๋ก ๊ฐ์งํ์ฌ ์์ฅ์ ์์ ํฌ์ง์
๋ ๊ฐ๋ฅ
โข ๋ชจ๋ ๊ฑฐ๋์ ํธํ์ฑ: ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ์ฌ ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ํ์ฉ ๊ฐ๋ฅ
โข ๊ธฐ๊ด ์ฐ์์ฑ ๋ถ์: ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํจํด์ ์ถ์ ํ์ฌ ๊ธฐ๊ด์ ์ง์์ ์ธ ํ๋ ์๋ณ
โข ์ค๋งํธ ๋ณผ๋ฅจ ๋ถ์: ํ๊ท ๋๋น ๊ฑฐ๋๋ ์ฆ๊ฐ๋ฅผ ๊ฐ์งํ๊ณ ์ฃผ์ ๊ฑฐ๋ ์๊ฐ๋๋ฅผ ๋ถ์
โข ์ถ์ธ ๊ฐ๋ ์ธก์ : ์บ๋ค ํจํด์ ๋ถ์ํด ์์น/ํ๋ฝ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์์นํํ์ฌ ํ์
โข ์ง๊ด์ ์๊ฐํ: ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ๋ผ๋ฒจ์ ํตํด ๊ธฐ๊ด ํ๋ ์ง์ ์ ์ฐจํธ์ ๋ช
ํํ๊ฒ ํ์
โข ์ค์๊ฐ ๊ฐ๋ ํ์: ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ค์๊ฐ์ผ๋ก ๊ณ์ฐํ์ฌ ํ
์ด๋ธ์ ํ์
โข ์ฌ์ฉ์ ์ ์ ์ค์ : ์ฃผ์ ๋งค๊ฐ๋ณ์๋ฅผ ์กฐ์ ํ์ฌ ์์ ์ ํธ๋ ์ด๋ฉ ์คํ์ผ์ ๋ง๊ฒ ์ปค์คํฐ๋ง์ด์ง ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ ํธ ์ ํ ์ดํดํ๊ธฐ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค์ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ์์น ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค์ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
ํ๋์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Buying Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค์ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ์์น์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์น ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ์์น ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ
โข ์ ์: ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํด ๊ธฐ๊ด ํฌ์์๋ค์ด ์ฐ์์ ์ธ ๋งค๋ ํ๋์ ๋ณด์ด๋ฉฐ, ์ด์ ํจ๊ป ๊ฑฐ๋๋ ์ฆ๊ฐ์ ๊ฐํ ํ๋ฝ ์ถ์ธ๊ฐ ๋ํ๋ ๋ ๋ฐ์
โข ์๊ฐ์ ํํ: ๋งค๋ ์ ํธ๊ฐ ๋ฐ์ํ ์บ๋ค์ ๋ฐํฌ๋ช
๋ถํ์ ๋ฐ ์ปฌ๋ฌ๋ง๊ณผ ํจ๊ป "Institution Selling Detected!" ๋ผ๋ฒจ ํ์
โข ์์ฅ ํด์: ๊ธฐ๊ด ํฌ์์๋ค์ด ์ ๊ทน์ ์ผ๋ก ํ๋ฌผ ๋นํธ์ฝ์ธ์ ๋งค๋ํ๊ณ ์์ผ๋ฉฐ, ์ด๋ ๊ณง ๊ฐ๊ฒฉ ํ๋ฝ์ผ๋ก ์ด์ด์ง ๊ฐ๋ฅ์ฑ์ด ๋์์ ์๋ฏธ
โข ์ ํธ ๊ฐ๋ ์์:
โถ ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ํ๋ฝ ํจํด
โถ ํ๊ท ๋ณด๋ค ๋์ ๊ฑฐ๋๋
โถ ๊ฐํ ํ๋ฝ ์ถ์ธ ๊ฐ๋ ์ธก์ ๊ฐ
โถ ์ ์๋ฏธํ ๊ฐ๊ฒฉ ๋ณ๋
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ถ์ธ ๊ฐ๋ ์ดํดํ๊ธฐ
โ ์ถ์ธ ๊ฐ๋ ์ธก์ ๋ฐฉ์
โข ์ ์: ์ต๊ทผ ์ผ์ ๊ธฐ๊ฐ ๋์์ ์์น/ํ๋ฝ ์บ๋ค ๋น์จ์ ๋ถ์ํ์ฌ ์ถ์ธ์ ๊ฐ๋๋ฅผ ์ธก์
โข ์๊ฐ์ ํํ: ํ
์ด๋ธ์ "BULL STRENGTH" ๋๋ "BEAR STRENGTH"๋ก ํ์๋๋ฉฐ, ๋ฐฑ๋ถ์จ ๊ฐ๊ณผ ํจ๊ป "STRONG" ๋๋ "WEAK" ์ํ ํ์
โข ๊ฐ๋ ์๊ณ๊ฐ: ์ฌ์ฉ์๊ฐ ์ค์ ๊ฐ๋ฅํ ์๊ณ๊ฐ์ ๋ฐ๋ผ ๊ฐํจ/์ฝํจ ํ์
โข ๊ณ์ฐ ๋ฐฉ์:
โถ ์์น ์ถ์ธ ๊ฐ๋ = (์์น ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ํ๋ฝ ์ถ์ธ ๊ฐ๋ = (ํ๋ฝ ์บ๋ค ์) / (์ ์ฒด ๋ถ์ ๊ธฐ๊ฐ)
โถ ๊ฐ๋๊ฐ ์๊ณ๊ฐ ์ด์์ผ ๋ "STRONG", ๋ฏธ๋ง์ผ ๋ "WEAK"๋ก ํ์
โ ์ถ์ธ ๊ฐ๋์ ํ์ฉ
โข ์ ํธ ํํฐ๋ง: ์ถ์ธ ๊ฐ๋๊ฐ ๊ฐํ ๋๋ง ์ ํธ๋ฅผ ์์ฑํ์ฌ ํ์ ์ ํธ ๊ฐ์
โข ์ถ์ธ ํ์ธ: ํ์ฌ ์์ฅ ์ถ์ธ์ ๊ฑด์ ์ฑ๊ณผ ์ง์ ๊ฐ๋ฅ์ฑ ํ๊ฐ
โข ์ง์
/ํด์ถ ๊ฒฐ์ : ๊ฐํ ์ถ์ธ์์ ์ง์
ํ๊ณ ์ฝํ ์ถ์ธ๋ก ์ ํ๋ ๋ ํด์ถ ๊ณ ๋ ค
โข ๋ฆฌ์คํฌ ๊ด๋ฆฌ: ์ฝํ ์ถ์ธ์์๋ ํฌ์ง์
ํฌ๊ธฐ๋ฅผ ์ค์ด๊ณ , ๊ฐํ ์ถ์ธ์์๋ ๋๋ฆฌ๋ ์ ๋ต ์๋ฆฝ ๊ฐ๋ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์ค์ ํธ๋ ์ด๋ฉ ์์ฉ
โ ๊ธฐ๊ด ๋งค์ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค์
โถ ์์ : ์ ํธ ์บ๋ค์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ ํญ์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ์กฐ์ ํ ๊ธฐ๊ด ๋งค์ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค์
โถ ์์ : ์ต๊ทผ ์ฃผ์ ์ ์ ์๋
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๊ธฐ๊ด ๋งค๋ ์ ํธ ํ์ฉ ์ ๋ต
โข ์ถ์ธ ์ ํ ์๋๋ฆฌ์ค:
โถ ์ค์ : ์์น ์ถ์ธ ์ค ๊ฐํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋ค์ ์บ๋ค์์ ๋งค๋
โถ ์์ : ์ ํธ ์บ๋ค์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ด์ ์ฃผ์ ์ง์ง์ ๋๋ฌ ์ ๋๋ ์ถ์ธ ๊ฐ๋๊ฐ ์ฝํด์ง ๋
โข ์ถ์ธ ์ง์ ์๋๋ฆฌ์ค:
โถ ์ค์ : ํ๋ฝ ์ถ์ธ ์ค ๋ฐ๋ฑ ํ ๊ธฐ๊ด ๋งค๋ ์ ํธ ๋ฐ์
โถ ์ง์
: ์ ํธ ํ์ธ ํ ๋งค๋
โถ ์์ : ์ต๊ทผ ์ฃผ์ ๊ณ ์ ์
โถ ์ด์ต์คํ: ์ถ์ธ ๊ฐ๋๋ฅผ ๊ณ ๋ คํ์ฌ ๋จ๊ณ์ ์ผ๋ก ์ด์ต์คํ
โ ๋ค์ค ์๊ฐํ๋ ์ ์ ๊ทผ๋ฒ
โข ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ์ฑ ํ์ธ:
โถ ์ผ๋ด/4์๊ฐ๋ด์์ ๊ธฐ๊ด ์ ํธ ๋ฐ ์ถ์ธ ๊ฐ๋ ํ์ธ
โถ ์ฃผ ํธ๋ ์ด๋ฉ ๋ฐฉํฅ ์ค์ ์ ํ์ฉ
โข ํ์ ์๊ฐํ๋ ์ ์ง์
์ ์ฐพ๊ธฐ:
โถ ์์ ์๊ฐํ๋ ์ ๋ฐฉํฅ๊ณผ ์ผ์นํ๋ ํ์ ์๊ฐํ๋ ์ ์ ํธ ๋๊ธฐ
โถ ์ ๋ฐํ ์ง์
์ ํฌ์ฐฉ์ ํ์ฉ
โข ์๊ฐํ๋ ์ ๊ฐ ์ ํธ ์ผ์น ํ์ธ:
โถ ์ฌ๋ฌ ์๊ฐํ๋ ์์์ ๋์ผํ ๋ฐฉํฅ์ ์ ํธ๊ฐ ๋ฐ์ํ ๋ ์ ํธ ๊ฐ๋ ์ฆ๊ฐ
โถ ๋์ ํ๋ฅ ์ ํธ๋ ์ด๋ฉ ๊ธฐํ ํฌ์ฐฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ์งํ ์ค์ ๊ฐ์ด๋
โ ์ฃผ์ ์ค์ ๋งค๊ฐ๋ณ์
โข Institutional Continuity Period (๊ธฐ๊ด ์ฐ์์ฑ ํ์ธ ๊ธฐ๊ฐ):
โถ ๋ชฉ์ : ๊ธฐ๊ด์ ์ฐ์์ ์ธ ๋งค์/๋งค๋ ํ๋์ ํ์ธํ ๊ธฐ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ ์์ฑ, ๋ฐ์์ฑ ์ฆ๊ฐ
โถ ๋์ ๊ฐ: ์ ํธ ์ ๊ฐ์, ์ ๋ขฐ์ฑ ์ฆ๊ฐ
โข Trend Strength Threshold (์ถ์ธ ๊ฐ๋ ์๊ณ๊ฐ):
โถ ๋ชฉ์ : ์ถ์ธ๊ฐ ๊ฐํ๋ค๊ณ ํ๋จํ ์ต์ ์๊ณ๊ฐ ์ค์
โถ ๋ฎ์ ๊ฐ: ๋ ๋ง์ ์ ํธ, ๋ฎ์ ํํฐ๋ง
โถ ๋์ ๊ฐ: ๋ ๊ฐํ ์ถ์ธ์์๋ง ์ ํธ ์์ฑ, ๋์ ํํฐ๋ง
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๋ค๋ฅธ ์งํ์์ ์๋์ง
โข ์ง์ง/์ ํญ ๋ ๋ฒจ:
โถ ์ฃผ์ ์ง์ง/์ ํญ ๋ ๋ฒจ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ํ๋ฅ ์ด ๋ ๋์
โถ ๊ธฐ์ ์ ๋ถ์์ ํต์ฌ ๋ ๋ฒจ๊ณผ ๊ธฐ๊ด ํ๋์ ๊ฒฐํฉ์ ๊ฐ๋ ฅํ ์๊ทธ๋ ์ ๊ณต
โข ์ด๋ํ๊ท ์ :
โถ ์ฃผ์ ์ด๋ํ๊ท ์ (50MA, 200MA) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ ์ฃผ๋ชฉ
โถ ์ด๋ํ๊ท ์ ๋ํ์ ๊ธฐ๊ด ์ ํธ๊ฐ ์ผ์นํ ๋ ๊ฐํ ์ถ์ธ ๋ณํ ๊ฐ๋ฅ์ฑ
โข RSI/๋ชจ๋ฉํ
์งํ:
โถ ๊ณผ๋งค์/๊ณผ๋งค๋ ์ํ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๋ฐ์ ๊ฐ๋ฅ์ฑ ๋์
โถ ๋ชจ๋ฉํ
๋ค์ด๋ฒ์ ์ค์ ๊ธฐ๊ด ์ ํธ์ ์ผ์น๋ ๊ฐ๋ ฅํ ๋ฐ์ ์ ํธ
โข ๋ณผ๋ฅจ ํ๋กํ์ผ:
โถ ๋์ ๋ณผ๋ฅจ ๋
ธ๋์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ์ค์ํ ๊ฐ๊ฒฉ ๋ ๋ฒจ ํ์ธ
โถ ์ฃผ์ ๊ฑฐ๋ ์์ญ์์์ ๊ธฐ๊ด ํ๋์ ๊ฐ๊ฒฉ ๋ฐฉํฅ์ ํฐ ์ํฅ ๋ฏธ์นจ
โข ์์ฅ ๊ตฌ์กฐ:
โถ ์ฃผ์ ์์ฅ ๊ตฌ์กฐ(๋์ ๊ณ ์ /์ ์ , ๋ฎ์ ๊ณ ์ /์ ์ ) ๊ทผ์ฒ์์ ๋ฐ์ํ๋ ๊ธฐ๊ด ์ ํธ๋ ๊ตฌ์กฐ ๋ณํ ์์
โถ ์์ฅ ๊ตฌ์กฐ ๋ณํ์ ๊ธฐ๊ด ํ๋์ ์ผ์น๋ ์ค์ํ ์ถ์ธ ์ ํ์ ํ์
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ๊ฒฐ๋ก
Coinbase Institutional Smart Money Detector๋ ์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์์ ํตํ ๊ธฐ๊ด ํฌ์์๋ค์ ํ๋ฌผ ๋นํธ์ฝ์ธ ๊ฑฐ๋ ํ๋์ ์ค์๊ฐ์ผ๋ก ์ถ์ ํ์ฌ ํธ๋ ์ด๋๋ค์๊ฒ ๊ท์คํ ํต์ฐฐ๋ ฅ์ ์ ๊ณตํฉ๋๋ค. ์ด๋ค ๊ฑฐ๋์์ ๋นํธ์ฝ์ธ ์ฐจํธ์๋ ์ ์ฉ ๊ฐ๋ฅํ๊ธฐ ๋๋ฌธ์, ์ฌ๋ฌ๋ถ์ด ์ ํธํ๋ ํธ๋ ์ด๋ฉ ํ๋ซํผ์์ ๋ฐ๋ก ํ์ฉํ ์ ์์ต๋๋ค.
์ด ์งํ์ ํต์ฌ ๊ฐ์น๋ ์ผ๋ฐ ํธ๋ ์ด๋๋ค์ด ์ ๊ทผํ๊ธฐ ์ด๋ ค์ด ๊ธฐ๊ด ์๊ธ ํ๋ฆ ๋ฐ์ดํฐ๋ฅผ ์ง๊ด์ ์ผ๋ก ์๊ฐํํ์ฌ ์ ๊ณตํ๋ค๋ ์ ์
๋๋ค. ์ฐ์์ ์ธ ๊ฐ๊ฒฉ ์์ง์, ๊ฑฐ๋๋ ์ฆ๊ฐ, ๊ทธ๋ฆฌ๊ณ ์ถ์ธ ๊ฐ๋๋ฅผ ์ข
ํฉ์ ์ผ๋ก ๋ถ์ํ์ฌ ๊ธฐ๊ด์ ํ๋์ ํฌ์ฐฉํจ์ผ๋ก์จ, ์ฌ๋ฌ๋ถ์ ์์ฅ์ ํฐ ์๋ค๊ณผ ํจ๊ป ์์ง์ผ ์ ์๋ ๊ธฐํ๋ฅผ ์ป๊ฒ ๋ฉ๋๋ค.
์ฝ์ธ๋ฒ ์ด์ค ํ๋ผ์ ๋ฐ์ดํฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ ๋ช
ํํ ๋งค์/๋งค๋ ์ ํธ์ ์ค์๊ฐ ์ถ์ธ ๊ฐ๋ ์ธก์ ์ ํธ๋ ์ด๋๋ค์ด ์์ฅ ์ํฉ์ ํ๋์ ํ์
ํ๊ณ ์ ์ํ๊ฒ ์ ๋ต์ ๊ฒฐ์ ์ ๋ด๋ฆด ์ ์๊ฒ ๋์์ค๋๋ค. ์ด ๊ฐ๋ ฅํ ๋๊ตฌ๋ฅผ ์ฌ๋ฌ๋ถ์ ํธ๋ ์ด๋ฉ ์ ๋ต์ ํตํฉํจ์ผ๋ก์จ, ์์ฅ์ ์ค๋งํธ ๋จธ๋๊ฐ ์ด๋๋ก ํ๋ฌ๊ฐ๋์ง ํ์
ํ๊ณ ๊ทธ์ ๋ฐ๋ผ ํฌ์ง์
๋ํ ์ ์๋ ๊ฒฝ์ ์ฐ์๋ฅผ ํ๋ณดํ์ธ์.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โป ๋ฉด์ฑ
์กฐํญ: ๋ชจ๋ ํธ๋ ์ด๋ฉ ๋๊ตฌ์ ๋ง์ฐฌ๊ฐ์ง๋ก, Institutional Smart Money Detector๋ ๋ณด์กฐ ์งํ๋ก ์ฌ์ฉํด์ผ ํ๋ฉฐ ํธ๋ ์ด๋ฉ ๊ฒฐ์ ์ ์ ์ ์ผ๋ก ์์กดํด์๋ ์ ๋ฉ๋๋ค. ๊ณผ๊ฑฐ์ ๊ธฐ๊ด ํ๋ ํจํด์ด ๋ฏธ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ์ง๋ ์์ต๋๋ค. ํญ์ ์ ์ ํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ ๋ต์ ํธ๋ ์ด๋ฉ์ ํ์ฉํ์ธ์.
SpaceTime Profile Regular SpaceManBTCSpaceTime Profile Regular SpaceManBTC
Is a profiling tool for a market session.
Using time and price it calculates the TPO mapping the POC on your chart as well as the general profile.
The tool is useful as it can give you a general idea of how a day traded/is trading based off of its shape.
As well as provides the current developing POC as a reference for potentially a dynamic level of interest.
Value area shading is also including in the release using 68% as my reference of personal choice to represent where
bulk of the market activity occured on a given time frame.
To generate the data the indicator aims to look at the price variations over time of the given session (you can choose this in settings), this will then stack
and overlay on the chart to generate the TPO calculations by mapping 1 to 1 with the price you see on the chart.
This will give you areas of importance such as the POC which can be retested when naked providing a point of interest.
Works similar to volume profile but with no volume calculations only with price and time in mind.
Very useful tool for trend / market analysis by providing this graphical representation of a trading session between buyers and sellers!
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
โข Visit TradingView's official website.
โข Click on the "Join for free" or "Sign up" button.
โข Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
โข Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
โข To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
โข Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
โข Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
โข Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
โข This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
โข Depending on whether you have the script or need to find it, there are two paths:
โข If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
โข If searching for the script: Click on the โIndicatorsโ icon (looks like a flame) at the top of your screen, and then type โSupertrend Advance Strategyโ in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
โข After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the โAdd to Chartโ button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
โข Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
โข Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
โข With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
โข Buy: When price closes above the Supertrend line.
โข Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
โข Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
โข Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
โข Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
โข Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
โข Logic: MACD assesses the relationship between two EMAs of a securityโs price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
โข Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
โข Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
โข Example: A 2% SL on an entry at $100 would trigger a sell at $98.
โข Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
โข Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
โข Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
โข Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
โข Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
โข Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, weโll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
โข This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
โข This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
โข The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
โข Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
โข Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
KIMATIX LITE Delta ProfileThis indicator provides a clean, market-structure view of where participation concentrates and which side is in control across price levels.
The Lite version is intentionally reduced to focus on context over execution while keeping the visual identity of the full profile.
What is shown
Sentiment Profile (right side)
Displays directional dominance at each price level:
Bullish rows when buying pressure dominates
Bearish rows when selling pressure dominates
Point of Control (POC)
Value Area High / Low (VAH / VAL)
Lite Version
No left-side volume profile
No delta labels or historical delta tracking
No lower-timeframe or orderflow proxy
No alerts or event notifications
No visible-range logic or advanced controls
All calculations run on the chart timeframe only, making this version lighter and suitable for public use while preserving structural relevance.
Intended use
This indicator is designed to:
Identify high-interest price zones
Assess directional pressure at each level
Support bias and location decisions
Complement other execution or confirmation tools
It is not an entry or signal system and does not provide trade timing.
The full version is distributed separately.
More information can be found here:
whop.com
Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA
Overview
The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision.
Core Concept
The indicator operates on the principle of volatility contraction and expansion:
Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup
Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves
Key Components
1. Squeeze Momentum Calculation
Formula: Momentum = Linear Regression(Close - Average Price)
Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3
Visualization: Histogram bars showing positive (green) and negative (red) momentum
Zero Line: Represents equilibrium point between buyers and sellers
2. EMA Overlay
Purpose: Smooths momentum values to identify underlying trends
Customization:
Adjustable period (default: 20)
Toggle on/off display
Customizable color and line thickness
Cross Signals: Buy/sell signals when momentum crosses above/below EMA
3. Volatility Bands
Bollinger Bands (20-period, 2 standard deviations)
Keltner Channels (20-period, 1.5 ATR multiplier)
Squeeze Detection: Visual background shading when BB are inside KC
Trading Signals
Buy Signals (Green Upward Triangle)
Momentum histogram crosses ABOVE EMA line
Occurs during or after squeeze release
Confirmed by expanding histogram bars
Sell Signals (Red Downward Triangle)
Momentum histogram crosses BELOW EMA line
Often precedes market downturns
Watch for increasing negative momentum
Squeeze Warnings (Gray Background)
Market in low volatility state
Prepare for potential breakout
Direction indicated by momentum bias
Indicator Settings
Main Parameters
Length: Period for calculations (default: 20)
Show EMA: Toggle EMA visibility
EMA Period: Smoothing period for EMA
Visual Settings
Histogram color-coding based on momentum direction
EMA line color and thickness
Signal marker size and visibility
Squeeze zone background display
Practical Applications
Trend Identification
Uptrend: Consistently positive momentum with EMA support
Downtrend: Consistently negative momentum with EMA resistance
Range-bound: Oscillating around zero line
Entry/Exit Points
Conservative Entry: Wait for squeeze release + EMA crossover
Aggressive Entry: Anticipate breakout during squeeze
Exit: Opposite crossover or momentum divergence
Risk Management
Use squeeze zones as warning periods
EMA crossovers as confirmation signals
Combine with support/resistance levels
Advanced Interpretation
Momentum Strength
Strong Bullish: Tall green bars above EMA
Weak Bullish: Short green bars near EMA
Strong Bearish: Tall red bars below EMA
Weak Bearish: Short red bars near EMA
Divergence Detection
Price makes higher high, momentum makes lower high โ Bearish divergence
Price makes lower low, momentum makes higher low โ Bullish divergence
Squeeze Characteristics
Long squeezes: More potential energy
Frequent squeezes: Choppy market conditions
No squeezes: High volatility, trending markets
Recommended Timeframes
Scalping: 1-15 minute charts
Day Trading: 15-minute to 4-hour charts
Swing Trading: 4-hour to daily charts
Position Trading: Daily to weekly charts
Best Practices
Confirmation
Use with volume indicators
Check higher timeframe direction
Wait for candle close confirmation
Filtering Signals
Ignore signals during extreme volatility
Require minimum bar size for crossovers
Consider market context (news, sessions)
Combination Suggestions
With RSI: Confirm overbought/oversold conditions
With Volume Profile: Identify high-volume nodes
With Support/Resistance: Key level reactions
With Trend Lines: Breakout confirmations
Limitations
Lagging indicator (based on past data)
Works best in trending markets
May give false signals in ranging markets
Requires proper risk management
Conclusion
The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
Nexural JMAHere's a natural description for TradingView:
Nexural JMA - Jurik Moving Average with Multi-Factor Analysis
WHAT IT DOES
This is a Jurik Moving Average indicator that I've enhanced with multi-factor scoring to help you identify high-quality trade setups. JMA is known for being smoother and more responsive than traditional moving averages, which means less lag without the whipsaw you get from faster EMAs.
The indicator plots the JMA line on your chart with dynamic support and resistance zones, entry signals, and a real-time dashboard that scores market conditions from 0 to 100 across five key factors.
KEY FEATURES
Jurik Moving Average - A sophisticated moving average that adapts quickly to price changes while staying smooth. You can adjust the phase and power settings to control its responsiveness.
Dynamic Zones - Creates a cloud around the JMA based on ATR. Think of it as a buffer zone that shows where price typically bounces or breaks through.
Multi-Factor Scoring - Real-time scores for Momentum, Volume, Volatility, and Trend Strength. All metrics are normalized to 0-100 so you can quickly see what's strong and what's weak.
Strength-Based Gradient - The JMA line and cloud change opacity based on trend strength. Bright and solid means strong conviction, faded means weak or transitional.
Filtered Signals - Entry signals only appear when multiple factors align - price crosses the JMA, volume confirms, and trend strength is adequate.
HOW TO USE IT
The JMA Line - This is your trend filter. When the line is green and rising, look for long opportunities. When it's red and falling, look for shorts. The brighter the color, the stronger the trend.
The Cloud - Price typically bounces off the cloud edges in trends. When price breaks through the cloud against the trend, it often signals exhaustion or reversal.
Entry Signals - Green triangles below price are long signals. Red triangles above price are short signals. These only fire when volume, momentum, and trend strength are adequate.
The Dashboard - This is your market health monitor. Check it before taking a trade. You want to see high scores (70+) in momentum and trend strength for the best setups. Volume above 50 adds confirmation.
Volatility Score - High volatility (70+) means wider stops and bigger targets. Low volatility (below 30) means tighter ranges and smaller moves.
BEST PRACTICES
Use the dashboard to filter trades. If trend strength is below 40, the market is choppy and you're better off waiting for clarity.
Pay attention to the gradient intensity. A bright solid JMA line with a visible cloud means the trend has conviction. A faded line means the trend is weak or transitioning.
Volume matters. Signals with volume scores above 70 tend to have better follow-through than those with weak volume.
Don't force trades when momentum is low. Below 40 momentum score means the market is consolidating or drifting.
Use the cloud as a stop loss guide in trends. Price reclaiming the cloud against the trend is often your signal to exit or tighten stops.
UNDERSTANDING THE SCORES
Momentum Score - Measures the rate of change over 10 bars compared to recent history. High scores mean price is moving decisively.
Volume Score - Compares current volume to the last 100 bars. Above 70 means volume is strong, below 30 means it's weak.
Volatility Score - Based on ATR percentile. High scores mean the market is moving with larger swings, low scores mean it's quiet.
Trend Strength - Combines how far price is from the JMA plus the slope of the JMA itself. This is your conviction meter.
SETTINGS BREAKDOWN
JMA Length - Default is 7, which is quite responsive. Increase to 14 or 21 for smoother trends on higher timeframes. Lower to 5 for faster response on scalping timeframes.
Phase - Default is 50 which is balanced. Higher values (70-100) make it more responsive but can increase whipsaws. Lower values (0-30) make it smoother but add lag.
Power - Controls the JMA curve calculation. Default is 2 which works well. Higher values make it more responsive at the cost of smoothness.
Source - Default is close, but you can experiment with hlc3 or ohlc4 for different characteristics.
PROS
Clean visual presentation - The gradient system makes trend strength obvious at a glance.
No guesswork on market conditions - The scored dashboard tells you exactly what's working and what's not.
Filtered signals - Unlike basic moving average crosses, these signals require multiple confirmations.
Adaptable - Works on stocks, crypto, forex, and futures. Just adjust the length for your timeframe.
Low lag - JMA responds faster than SMA or EMA of the same length, so you get earlier entries.
CONS
JMA can be sensitive - On the default settings, you might see some false signals in choppy markets. Consider increasing the length if this happens.
Requires interpretation - The dashboard gives you data, but you still need to make the trading decision. It's not a one-click solution.
Works best in trends - Like most moving average systems, it struggles in tight sideways ranges. Low trend strength scores will warn you when this is happening.
Not ideal for very fast scalping - The default length of 7 works for 5-minute and above, but for 1-minute scalping, you might need to drop it to 3-5 and accept more noise.
Volume data quality matters - On some assets or timeframes, volume data is unreliable or unavailable. The volume score will be less useful in those cases.
TIPS FROM MY TESTING
The indicator works best on the 5-minute to daily timeframes. I've had the most success on 15-minute and 1-hour charts.
When all scores are above 60, you're in prime trading conditions. These are your A+ setups.
Use it with support and resistance. When a signal fires at a key level with high trend strength, the probability increases significantly.
The cloud is your friend in trends. In strong trends, price will use the cloud edges as support or resistance for continuation entries.
Don't ignore weak signals in strong trends. Sometimes a low momentum score during a pullback in a strong trend is your best re-entry point.
Watch for divergence between price and the JMA. If price makes a new high but the JMA is fading in color and trend strength is dropping, that's often a warning sign.
ALERT SYSTEM
The alerts include the trend strength score in the message, so you know immediately if it's a high-conviction signal or a marginal one. Set your alerts to "once per bar close" to avoid repainting.
COMBINING WITH OTHER TOOLS
This works great with RSI or stochastic for timing entries. Use the JMA for trend direction and zones for context, then use an oscillator to time the exact entry.
It pairs well with volume profile. The JMA shows you the trend, volume profile shows you where the battle is happening.
Consider using a higher timeframe JMA for bias and a lower timeframe for entries. If the 1-hour JMA is bullish with 80 trend strength, look for long entries on the 15-minute chart.
This indicator is designed to give you clarity in a noisy market. The JMA itself is a powerful tool, but adding the multi-factor scoring system helps you understand the quality of what you're seeing. It's not magic, but it's been helpful for filtering out the junk and focusing on the setups with the best probability.
As always, backtest it on your markets and timeframes. Adjust the settings to fit your trading style. What works for one person might not work for another, so make it your own.
Good luck and trade safe.
chanlun็ผ ่ฎบ - ็ฌไธไธญๆขOverview
The Chanlun (็ผ ่ฎบ) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (็ฌ) and "central hubs" (ไธญๆข), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones.
Theoretical Foundation
Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures:
Local Extremes: Swing highs and lows identified through lookback periods
Strokes (็ฌ): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (ไธญๆข): Consolidation zones formed by overlapping strokes, representing key support/resistance areas
Key Components
1. Local Extreme Detection
Identifies swing highs and lows using a configurable lookback period (default: 5 bars)
Only considers extremes within the specified calculation range
Forms the foundation for stroke construction
2. Stroke (็ฌ) Identification
The indicator applies a multi-stage filtering process to identify valid strokes:
Stage 1 - Extreme Consolidation:
Merges consecutive extremes of the same type (high or low)
Keeps only the most extreme value (highest high or lowest low)
Stage 2 - Stroke Validation:
Ensures minimum bar gap between strokes (default: 4 bars)
Alternative validation: 2+ bars with >1% price change
Eliminates noise and insignificant price movements
Color Coding:
White Lines: Regular up/down strokes
Yellow Lines: Strokes that form part of a central hub
Customizable width and colors for different stroke types
3. Central Hub (ไธญๆข) Formation
A central hub forms when at least 3 consecutive strokes have overlapping price ranges:
Formation Rules:
Stroke 1:
Stroke 2:
Stroke 3:
Hub Upper = MIN(High1, High2, High3)
Hub Lower = MAX(Low1, Low2, Low3)
Valid if: Hub Upper > Hub Lower
Hub Extension:
Subsequent strokes that overlap with the hub extend it
Hub ends when a stroke no longer overlaps
Creates rectangular zones on the chart
Visual Representation:
Green rectangular boxes: Mark the time and price range of each central hub
Dashed extension lines: Show the latest hub boundaries extending to the right
Price labels on axis: Display exact hub upper and lower boundary values
4. Extreme Point Markers (Optional)
Red markers for tops (โผ)
Green markers for bottoms (โฒ)
Marks every validated stroke extreme point
Useful for detailed structure analysis
5. Information Table (Optional)
Displays real-time statistics:
Symbol name
Current timeframe
Lookback period setting
Minimum gap setting
Total stroke count
Parameter Settings
Performance Settings
Max Bars to Calculate (3600): Limits historical calculation to improve performance
Local Extreme Lookback Period (5): Bars used to identify swing highs/lows
Min Gap Bars (4): Minimum bars required between valid strokes
Display Settings
Show Strokes: Toggle stroke line visibility
Show Central Hub: Toggle hub box visibility
Show Hub Extension Lines: Toggle dashed boundary lines
Show Extreme Point Marks: Toggle top/bottom markers
Show Info Table: Toggle statistics table
Color Settings
Full customization of:
Up/down stroke colors and widths
Hub stroke colors and widths
Hub border and background colors
Extension line colors
Trading Applications
Trend Structure Analysis
Uptrend: Series of higher highs and higher lows connected by strokes
Downtrend: Series of lower highs and lower lows connected by strokes
Consolidation: Formation of central hubs indicating range-bound movement
Support and Resistance Identification
Central Hub Zones: Act as strong support/resistance areas
Hub Upper Boundary: Resistance level in consolidation, support after breakout
Hub Lower Boundary: Support level in consolidation, resistance after breakdown
Price tends to react at these levels due to market structure memory
Breakout Trading
Bullish Breakout: Price closes above hub upper boundary
Previous resistance becomes support
Entry on retest of upper boundary
Stop loss below hub zone
Bearish Breakdown: Price closes below hub lower boundary
Previous support becomes resistance
Entry on retest of lower boundary
Stop loss above hub zone
Reversal Detection
Hub Formation After Trend: Signals potential trend exhaustion
Multiple Hub Levels: Create probability zones for reversals
Stroke Count: Excessive strokes within hub suggest weakening momentum
Position Management
Use hub boundaries for stop loss placement
Scale out positions at hub edges
Re-enter on retests of broken hub levels
Interpretation Guide
Strong Trending Market
Long, clear strokes with minimal overlap
Few or no central hubs forming
Strokes consistently in same direction
Wide spacing between extremes
Consolidating Market
Multiple central hubs forming
Short, overlapping strokes
Yellow hub strokes dominate the chart
Narrow price range
Trend Transition
Hub formation after extended trend
Stroke direction changes frequently
Hub boundaries being tested repeatedly
Potential reversal zone
Advanced Usage Techniques
Multi-Timeframe Analysis
Higher Timeframe: Identify major hub zones for overall market structure
Lower Timeframe: Find precise entry points within larger structure
Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks
Hub Quality Assessment
Wide Hubs: Strong consolidation, higher probability support/resistance
Narrow Hubs: Weak consolidation, may break easily
Extended Hubs: More strokes = stronger zone
Isolated Hubs: Single hub = potential pivot point
Stroke Analysis
Stroke Length: Longer strokes = stronger momentum
Stroke Speed: Fewer bars per stroke = explosive moves
Stroke Clustering: Many short strokes = indecision
Best Practices
Parameter Optimization
Adjust lookback period based on timeframe and volatility
Lower periods (3-4): More strokes, more noise, faster signals
Higher periods (7-10): Fewer strokes, cleaner structure, slower signals
Confirmation Strategy
Don't trade on strokes alone
Combine with volume analysis
Use candlestick patterns at hub boundaries
Wait for breakout confirmation
Risk Management
Always place stops outside hub zones
Use hub width to size positions (wider hub = smaller position)
Exit if price re-enters broken hub from wrong direction
Avoid Common Pitfalls
Don't trade within central hubs (range-bound, unpredictable)
Don't ignore higher timeframe hub structures
Don't chase strokes after they've extended far from hub
Don't trust single-stroke hubs (need 3+ strokes for validity)
Performance Considerations
Max Bars Limit: Set to 3600 to balance detail with performance
Safe Distance Calculation: Only draws objects within 2000 bars of current price
Object Cleanup: Automatically removes old drawing objects to prevent memory issues
Efficient Arrays: Uses indexed arrays for fast lookup and processing
Ideal Market Conditions
Best Performance:
Liquid markets with clear structure (major forex pairs, indices, large-cap stocks)
Trending markets with periodic consolidations
Medium to high volatility for clear stroke formation
Less Effective:
Extremely choppy, directionless markets
Very low timeframes (< 5 minutes) with excessive noise
Illiquid instruments with erratic price action
Integration with Other Indicators
Complementary Tools:
Volume Profile: Confirm hub significance with volume nodes
Moving Averages: Use for trend bias within stroke structure
RSI/MACD: Momentum confirmation at hub boundaries
Fibonacci Retracements: Hub levels often align with Fib levels
Advantages
โ Objective Structure: Removes subjectivity from market structure analysis
โ Visual Clarity: Color-coded strokes and clear hub zones
โ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
โ Complete Framework: Provides entry, exit, and risk management levels
โ Theoretical Foundation: Based on proven Chan Theory methodology
โ Customizable: Extensive parameter and visual customization options
Limitations
โ Learning Curve: Requires understanding of Chan Theory principles
โ Lag Factor: Strokes confirm after price movements complete
โ Parameter Sensitivity: Different settings produce significantly different results
โ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
โ Computation Intensive: May slow down on lower-end systems with max bars setting
Optimization Tips
Timeframe Selection
Scalping: 5-15 minute charts, lookback period 3-4
Day Trading: 15-60 minute charts, lookback period 4-5
Swing Trading: 4-hour to daily charts, lookback period 5-7
Position Trading: Daily to weekly charts, lookback period 7-10
Volatility Adjustment
High volatility: Increase minimum gap bars to reduce noise
Low volatility: Decrease lookback period to capture smaller moves
Visual Optimization
Use contrasting colors for different market conditions
Adjust line widths based on chart resolution
Toggle markers off for cleaner appearance once familiar with structure
Quick Start Guide
For Beginners:
Start with default settings (5 lookback, 4 min gap)
Enable "Show Info Table" to track stroke count
Focus on identifying clear hub formations
Practice waiting for price to break hub boundaries before trading
For Advanced Users:
Optimize lookback and gap parameters for your instrument
Use hub strokes (yellow) to identify key consolidation zones
Combine with multiple timeframes for confirmation
Develop entry rules based on hub breakout/retest patterns
This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Smart Liquidity & OTE Analysis Tool # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (๐ข Open / ๐ด Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (โ) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (โ
) or exited without filling (โ)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (๐ฏ) indicate bullish or bearish OTE zones
- Entry (โ
) and exit (โ) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open โ
- Followed by a retrace into a bullish OTE zone โ
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
โ Identifies high-probability institutional trading zones
โ Provides clear visual roadmap of likely price targets
โ Reduces chart clutter with configurable history limits
โ Works across multiple timeframes and instruments
โ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
โ Does not provide entry/exit arrows (intentional - requires trader discretion)
โ Does not guarantee winning trades (no indicator does)
โ Does not work in isolation (combine with price action/market context)
โ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
SLO Pro-J-Algo # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (๐ข Open / ๐ด Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (โ) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (โ
) or exited without filling (โ)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (๐ฏ) indicate bullish or bearish OTE zones
- Entry (โ
) and exit (โ) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open โ
- Followed by a retrace into a bullish OTE zone โ
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
โ Identifies high-probability institutional trading zones
โ Provides clear visual roadmap of likely price targets
โ Reduces chart clutter with configurable history limits
โ Works across multiple timeframes and instruments
โ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
โ Does not provide entry/exit arrows (intentional - requires trader discretion)
โ Does not guarantee winning trades (no indicator does)
โ Does not work in isolation (combine with price action/market context)
โ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
