52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ 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.
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◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
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◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
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◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
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◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
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◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
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◆ 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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※ 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
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
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◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
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◆ 추세 강도 이해하기
■ 추세 강도 측정 방식
• 정의: 최근 일정 기간 동안의 상승/하락 캔들 비율을 분석하여 추세의 강도를 측정
• 시각적 표현: 테이블에 "BULL STRENGTH" 또는 "BEAR STRENGTH"로 표시되며, 백분율 값과 함께 "STRONG" 또는 "WEAK" 상태 표시
• 강도 임계값: 사용자가 설정 가능한 임계값에 따라 강함/약함 판정
• 계산 방식:
▶ 상승 추세 강도 = (상승 캔들 수) / (전체 분석 기간)
▶ 하락 추세 강도 = (하락 캔들 수) / (전체 분석 기간)
▶ 강도가 임계값 이상일 때 "STRONG", 미만일 때 "WEAK"로 표시
■ 추세 강도의 활용
• 신호 필터링: 추세 강도가 강할 때만 신호를 생성하여 허위 신호 감소
• 추세 확인: 현재 시장 추세의 건전성과 지속 가능성 평가
• 진입/퇴출 결정: 강한 추세에서 진입하고 약한 추세로 전환될 때 퇴출 고려
• 리스크 관리: 약한 추세에서는 포지션 크기를 줄이고, 강한 추세에서는 늘리는 전략 수립 가능
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◆ 실전 트레이딩 응용
■ 기관 매수 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 하락 추세 중 강한 기관 매수 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매수
▶ 손절: 신호 캔들의 저점 아래
▶ 이익실현: 이전 주요 저항선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 상승 추세 중 조정 후 기관 매수 신호 발생
▶ 진입: 신호 확인 후 매수
▶ 손절: 최근 주요 저점 아래
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 기관 매도 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 상승 추세 중 강한 기관 매도 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매도
▶ 손절: 신호 캔들의 고점 위
▶ 이익실현: 이전 주요 지지선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 하락 추세 중 반등 후 기관 매도 신호 발생
▶ 진입: 신호 확인 후 매도
▶ 손절: 최근 주요 고점 위
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 다중 시간프레임 접근법
• 상위 시간프레임 방향성 확인:
▶ 일봉/4시간봉에서 기관 신호 및 추세 강도 확인
▶ 주 트레이딩 방향 설정에 활용
• 하위 시간프레임 진입점 찾기:
▶ 상위 시간프레임 방향과 일치하는 하위 시간프레임 신호 대기
▶ 정밀한 진입점 포착에 활용
• 시간프레임 간 신호 일치 확인:
▶ 여러 시간프레임에서 동일한 방향의 신호가 발생할 때 신호 강도 증가
▶ 높은 확률의 트레이딩 기회 포착
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Institutional Continuity Period (기관 연속성 확인 기간):
▶ 목적: 기관의 연속적인 매수/매도 활동을 확인할 기간 설정
▶ 낮은 값: 더 많은 신호 생성, 반응성 증가
▶ 높은 값: 신호 수 감소, 신뢰성 증가
• Trend Strength Threshold (추세 강도 임계값):
▶ 목적: 추세가 강하다고 판단할 최소 임계값 설정
▶ 낮은 값: 더 많은 신호, 낮은 필터링
▶ 높은 값: 더 강한 추세에서만 신호 생성, 높은 필터링
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◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항 레벨에서 발생하는 기관 신호는 확률이 더 높음
▶ 기술적 분석의 핵심 레벨과 기관 활동의 결합은 강력한 시그널 제공
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 기관 신호 주목
▶ 이동평균선 돌파와 기관 신호가 일치할 때 강한 추세 변화 가능성
• RSI/모멘텀 지표:
▶ 과매수/과매도 상태에서 발생하는 기관 신호는 반전 가능성 높임
▶ 모멘텀 다이버전스와 기관 신호의 일치는 강력한 반전 신호
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 기관 신호는 중요한 가격 레벨 확인
▶ 주요 거래 영역에서의 기관 활동은 가격 방향에 큰 영향 미침
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 기관 신호는 구조 변화 암시
▶ 시장 구조 변화와 기관 활동의 일치는 중요한 추세 전환점 표시
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◆ 결론
Coinbase Institutional Smart Money Detector는 코인베이스 프라임을 통한 기관 투자자들의 현물 비트코인 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 직관적으로 시각화하여 제공한다는 점입니다. 연속적인 가격 움직임, 거래량 증가, 그리고 추세 강도를 종합적으로 분석하여 기관의 활동을 포착함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
코인베이스 프라임 데이터를 기반으로 한 명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 신속하게 전략적 결정을 내릴 수 있게 도와줍니다. 이 강력한 도구를 여러분의 트레이딩 전략에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 그에 따라 포지셔닝할 수 있는 경쟁 우위를 확보하세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, Institutional Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
在脚本中搜索"volume profile"
52SIGNAL RECIPE CME Gap Support & Resistance Detector═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ Overview
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is an advanced technical indicator that automatically detects and visualizes all types of price gaps occurring in the CME Bitcoin futures market on trading charts. It captures not only gaps formed during weekend and holiday closures, but also those created during the daily 1-hour maintenance period on weekdays, and sudden price gaps resulting from economic indicator releases or news events.
The core value of this indicator lies beyond simply displaying gaps; it visualizes how these price discontinuities act as powerful support and resistance zones that influence future price movements. In real markets, these CME gaps have a high probability of either being "filled" or functioning as important reaction zones, providing traders with valuable entry and exit signals.
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◆ Key Features
• Comprehensive Gap Detection: Detects gaps in all market conditions
- Weekend/holiday closure gaps
- Weekday 1-hour maintenance period gaps
- Gaps from economic indicators/news events causing rapid price changes
• Intuitive Color Coding:
- Blue: When gaps act as support (price is above the gap)
- Red: When gaps act as resistance (price is below the gap)
- Gray: Filled gaps (price has completely passed through the gap area)
• Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing support↔resistance role transitions
• Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
• Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
• Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
• Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
• Key Usage Points:
- Pay special attention when price approaches gap areas
- Color changes in gaps signal important market sentiment shifts
- Areas with multiple clustered gaps are particularly strong reaction zones
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◆ User Guide: Understanding Gap Roles Through Colors
■ Color System Interpretation
• Blue Gaps (Support Role):
▶ Meaning: Current price is above the gap, making the gap act as support
▶ Trading Application: Consider buying opportunities when price approaches blue gap areas
▶ Psychological Meaning: Buying pressure likely to increase at this price level
• Red Gaps (Resistance Role):
▶ Meaning: Current price is below the gap, making the gap act as resistance
▶ Trading Application: Consider selling opportunities when price approaches red gap areas
▶ Psychological Meaning: Selling pressure likely to increase at this price level
• Gray Gaps (Filled Gaps):
▶ Meaning: Price has completely passed through the gap area, filling the gap
▶ Reference Value: Still valuable as reference for past important reaction zones
▶ Trading Application: Used to confirm trend strength and identify key psychological levels
■ Understanding Color Transitions
• Blue → Red Transition:
▶ Meaning: Price has fallen below the gap, changing its role from support to resistance
▶ Market Interpretation: Breakdown of previous support strengthens bearish signals
▶ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
• Red → Blue Transition:
▶ Meaning: Price has risen above the gap, changing its role from resistance to support
▶ Market Interpretation: Breakout above previous resistance strengthens bullish signals
▶ Trading Application: Consider potential further rise; check gap top as support during pullbacks
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◆ Practical Application Guide
■ Basic Trading Scenarios
• Blue Gap Support Strategy:
▶ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
▶ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
▶ Take Profit: Previous swing high or next resistance level above
▶ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
• Red Gap Resistance Strategy:
▶ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
▶ Stop Loss: Above the gap top (if price completely breaks up through the gap)
▶ Take Profit: Previous swing low or next support level below
▶ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
■ Advanced Pattern Applications
• Multiple Gap Cluster Identification:
▶ Several gaps in close price proximity form extremely powerful support/resistance zones
▶ Same-color gap clusters: Very strong single-direction reaction zones
▶ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
• Gap Sequence Analysis:
▶ Consecutive same-direction gaps: Strong trend confirmation signal
▶ Increasing gap size pattern: Trend acceleration signal
▶ Decreasing gap size pattern: Trend weakening signal
• News/Indicator Release Gap Utilization:
▶ Gaps formed immediately after economic indicators: Measure market shock intensity
▶ Gap color change observation: Track market reinterpretation of news
▶ Gap filling speed analysis: Evaluate news impact duration
• Key Attention Points:
▶ Pay special attention to the chart whenever price approaches gap areas
▶ Gap color changes signal important market sentiment shifts
▶ Areas with multiple concentrated gaps are likely to show strong price reactions
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◆ Technical Foundation
■ CME Gap Formation Principles
• Key Gap Formation Scenarios:
▶ Weekend Closures (Friday close → Monday open): Most common CME gap formation point
▶ Holiday Closures: Gaps occurring due to CME closures on US holidays
▶ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
▶ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
▶ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
• Psychological Importance of Gaps:
▶ Zones where price formation did not occur, representing imbalance between buying/selling forces
▶ Gap areas have no actual trading, resulting in accumulated potential orders
▶ Reflect institutional investor positions and liquidity distribution in the CME futures market
■ Support/Resistance Mechanism
• Psychological Level Formation Mechanism:
▶ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
▶ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
▶ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
• Evidence of Support/Resistance Function:
▶ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
▶ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
▶ Market psychology impact: Influences traders' perceived value and fair price assessment
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◆ Advanced Configuration Options
■ Visualization Settings
• Show Gap Labels (Default: On)
▶ On: Displays price ranges of each gap numerically for precise support/resistance level identification
▶ Off: Hides labels for visual cleanliness
• Color Settings
▶ Filled Gap Color: Gray tones, shows gaps already traversed by price
▶ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
▶ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
■ Data Management Settings
• Filled Gap Storage Limit (Default: 10)
▶ Sets maximum number of filled gaps to retain on chart
▶ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
• Maximum Gap Retention Period (Default: 12 months)
▶ Sets period after which old unfilled gaps are automatically removed
▶ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
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◆ Synergy with Other Indicators
• Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
• Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
• Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
• Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
• Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
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◆ Conclusion
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is not merely a gap display tool, but an advanced analytical tool that visualizes important support/resistance areas where price may strongly react, using intuitive color codes (blue=support, red=resistance). It detects all types of gaps without omission, whether from weekend and holiday closures, weekday 1-hour maintenance periods, important economic indicator releases, or market shock situations.
The core value of this indicator lies in clearly expressing through intuitive color coding that gaps are not simple price discontinuities, but psychological support/resistance areas that significantly influence future price action. Traders can instantly identify areas where blue gaps act as support and red gaps act as resistance, enabling quick and effective decision-making.
By referencing the color codes when price approaches gap areas to predict possible price reactions, and especially interpreting color transition moments (blue→red or red→blue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
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※ Disclaimer: Like all trading tools, the CME Gap Detector should be used as a supplementary indicator and not relied upon alone for trading decisions. Past gap reaction patterns cannot guarantee the same behavior in the future. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 개요
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 CME 비트코인 선물 시장에서 발생하는 모든 유형의 가격 갭(Gap)을 자동으로 감지하여 트레이딩 차트에 시각화하는 고급 기술적 지표입니다. 주말과 공휴일 휴장은 물론, 평일 1시간 휴장 시간, 그리고 중요 경제지표 발표나 뉴스 이벤트 시 발생하는 급격한 가격 갭까지 누락 없이 포착합니다.
이 인디케이터의 핵심 가치는 단순히 갭을 표시하는 것을 넘어, 이러한 가격 불연속성이 미래 가격 움직임에 영향을 미치는 강력한 지지(Support)와 저항(Resistance) 영역으로 작용한다는 원리를 시각화하는 데 있습니다. 실제 시장에서 이러한 CME 갭은 높은 확률로 미래에 "매꿔지거나" 중요한 반응 구간으로 기능하여 트레이더에게 귀중한 진입/퇴출 신호를 제공합니다.
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◆ 주요 특징
• 전방위 갭 감지: 모든 시장 조건에서 발생하는 갭을 감지
- 주말/공휴일 휴장 갭
- 평일 1시간 휴장 시간 갭
- 경제지표/뉴스 이벤트 시 급격한 가격 변동 갭
• 직관적 색상 구분:
- 파란색: 갭이 지지 역할을 할 때(가격이 갭 위에 있을 때)
- 빨간색: 갭이 저항 역할을 할 때(가격이 갭 아래에 있을 때)
- 회색: 이미 매꿔진 갭(가격이 갭 영역을 완전히 통과)
• 실시간 역할 전환: 가격이 갭 위/아래로 이동함에 따라 지지↔저항 역할 전환을 자동으로 색상 변경으로 시각화
• 상태 추적 시스템: 갭이 "매꿔짐(Filled)" 또는 "매꿔지지 않음(Unfilled)" 상태를 자동 추적
• 다이나믹 박스: 갭 영역을 명확한 박스로 표시하고 가격 움직임에 따라 동적으로 색상 변경
• 정밀 레이블링: 각 갭의 가격 범위를 정확히 표시하여 트레이더의 의사결정 지원
• 스마트 필터링: 연속적 갭 감지 문제를 해결하는 개선된 알고리즘으로 누락 없는 갭 추적
• 핵심 활용 포인트:
- 가격이 갭 영역에 접근할 때 특별히 주목하세요
- 갭 색상 변경 시점은 중요한 시장 심리 변화 신호입니다
- 여러 갭이 밀집된 영역은 특히 강한 반응이 예상되는 구간입니다
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◆ 사용 가이드: 색상으로 이해하는 갭 역할
■ 색상 시스템 해석법
• 파란색 갭 (지지 역할):
▶ 의미: 현재 가격이 갭 위에 있어 갭이 지지선으로 작용
▶ 트레이딩 응용: 가격이 파란색 갭 영역으로 하락 접근 시 매수 기회 고려
▶ 심리적 의미: 매수세력이 이 가격대에서 수요 증가 가능성
• 빨간색 갭 (저항 역할):
▶ 의미: 현재 가격이 갭 아래에 있어 갭이 저항선으로 작용
▶ 트레이딩 응용: 가격이 빨간색 갭 영역으로 상승 접근 시 매도 기회 고려
▶ 심리적 의미: 매도세력이 이 가격대에서 공급 증가 가능성
• 회색 갭 (매꿔진 갭):
▶ 의미: 가격이 갭 영역을 완전히 통과하여 갭이 매꿔진 상태
▶ 참조 가치: 과거 중요 반응 구간으로 여전히 참고 가치 있음
▶ 트레이딩 응용: 추세 강도 확인 및 주요 심리적 레벨 식별에 활용
■ 색상 전환 이해하기
• 파란색 → 빨간색 전환:
▶ 의미: 가격이 갭 아래로 하락하여 갭이 지지에서 저항으로 역할 변경
▶ 시장 해석: 이전 지지선 붕괴로 약세 신호 강화
▶ 트레이딩 응용: 추가 하락 가능성 고려, 반등 시 갭 하단 저항 확인
• 빨간색 → 파란색 전환:
▶ 의미: 가격이 갭 위로 상승하여 갭이 저항에서 지지로 역할 변경
▶ 시장 해석: 이전 저항선 돌파로 강세 신호 강화
▶ 트레이딩 응용: 추가 상승 가능성 고려, 조정 시 갭 상단 지지 확인
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◆ 실전 활용 가이드
■ 기본 트레이딩 시나리오
• 파란색 갭 지지 전략:
▶ 진입 시점: 가격이 파란색 갭 상단에 접근하여 반등 캔들 형성 시
▶ 손절 위치: 갭 하단 아래(갭 완전히 하향 돌파 시)
▶ 이익실현: 이전 스윙 고점 또는 상방 다음 저항선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매도 RSI, 강한 반등 캔들
• 빨간색 갭 저항 전략:
▶ 진입 시점: 가격이 빨간색 갭 하단에 접근하여 거부 캔들 형성 시
▶ 손절 위치: 갭 상단 위(갭 완전히 상향 돌파 시)
▶ 이익실현: 이전 스윙 저점 또는 하방 다음 지지선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매수 RSI, 강한 거부 캔들
■ 고급 패턴 활용법
• 다중 갭 클러스터 식별:
▶ 여러 갭이 근접한 가격대에 있다면 더욱 강력한 지지/저항 존
▶ 동일 색상 갭 클러스터: 매우 강력한 단일 방향 반응 구간
▶ 색상 혼합 갭 클러스터: 심한 변동성과 양방향 반응 예상 구간
• 갭 시퀀스 분석:
▶ 연속적인 동일 방향 갭: 강한 추세 확인 신호
▶ 갭 크기 증가 패턴: 추세 가속화 신호
▶ 갭 크기 감소 패턴: 추세 약화 신호
• 뉴스/지표 발표 후 갭 활용:
▶ 경제지표 발표 직후 형성된 갭: 시장 충격 강도 측정
▶ 갭 색상 변화 관찰: 시장의 뉴스 재해석 과정 파악
▶ 갭 매꿈 속도 분석: 뉴스 임팩트의 지속성 평가
• 핵심 주목 포인트:
▶ 가격이 갭 영역에 접근할 때마다 차트를 특별히 주목하세요
▶ 갭 색상이 변경되는 시점은 중요한 시장 심리 변화를 의미합니다
▶ 여러 갭이 밀집된 영역은 가격이 강하게 반응할 가능성이 높습니다
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◆ 기술적 기반
■ CME 갭의 발생 원리
• 주요 갭 발생 상황:
▶ 주말 휴장 (금요일 종가 → 월요일 시가): 가장 일반적인 CME 갭 형성 시점
▶ 공휴일 휴장: 미국 공휴일에 따른 CME 휴장 시 발생
▶ 평일 1시간 휴장: CME 시장의 일일 정비 시간(16:00~17:00 CT) 동안 발생
▶ 주요 경제지표 발표: 미 고용지표, FOMC 결정, CPI 등 발표 시 급격한 가격 변동으로 인한 갭
▶ 중요 뉴스 이벤트: 규제 발표, 지정학적 이벤트, 시장 충격 등으로 인한 급격한 가격 변화
• 갭의 심리적 중요성:
▶ 가격 형성이 이루어지지 않은 구간으로, 매수/매도 세력의 불균형 영역
▶ 갭 구간에는 실제 거래가 없었기 때문에 잠재적 주문이 누적되는 영역
▶ 기관 투자자들의 선물 포지션과 유동성 분포가 반영된 중요한 가격 레벨
■ 지지/저항으로 작용하는 원리
• 심리적 레벨 형성 메커니즘:
▶ 갭 구간의 미실행 주문 축적: 갭 발생 시 해당 가격대에 대한 주문 기회 상실
▶ 유동성 불균형: 갭 구간에는 거래가 없었으므로 유동성 공백 발생
▶ 기관 투자자 활동: CME 선물 시장의 기관 참여자들은 이러한 갭 영역에 관심
• 지지/저항 작용 증거:
▶ 통계적 갭 필 현상: 대부분의 갭은 미래에 "매꿔짐"(가격이 갭 구간으로 회귀)
▶ 갭 기반 반응: 갭 영역에 도달 시 가격 반응(반등/거부) 발생 빈도 증가
▶ 시장 심리 영향: 트레이더들의 인지된 가치와 공정가격 평가에 영향
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◆ 고급 설정 옵션
■ 시각화 설정
• 라벨 표시 설정 (Show Gap Labels) (기본값: 켜짐)
▶ 켜짐: 각 갭의 가격 범위를 숫자로 표시하여 정확한 지지/저항 레벨 확인
▶ 꺼짐: 시각적 깔끔함을 위해 라벨 숨김
• 색상 설정
▶ 매꿔진 갭 색상(Filled Gap Color): 회색 계열, 이미 가격이 통과한 갭 표시
▶ 미매꿔진 갭 색상 - 지지(Support): 파란색, 현재 지지 역할을 하는 갭
▶ 미매꿔진 갭 색상 - 저항(Resistance): 빨간색, 현재 저항 역할을 하는 갭
■ 데이터 관리 설정
• 매꿔진 갭 저장 한도 (Filled Gap Storage Limit) (기본값: 10)
▶ 이미 매꿔진 갭을 최대 몇 개까지 차트에 유지할지 설정
▶ 권장 설정: 단기 트레이더(5-8), 스윙 트레이더(8-12), 포지션 트레이더(10-15)
• 최대 갭 보관 기간 (Maximum Gap Retention Period) (기본값: 12개월)
▶ 오래된 미매꿔진 갭을 자동으로 제거하는 기간 설정
▶ 권장 설정: 단기 분석(3-6개월), 중기 분석(6-12개월), 장기 분석(12-24개월)
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◆ 다른 지표와의 시너지
• 볼륨 프로파일: CME 갭과 볼륨 프로파일의 밸류 영역 일치 시 반응 확률 크게 증가
• 피보나치 리트레이스먼트: 주요 피보나치 레벨과 갭 영역 일치 시 강력한 반응 존 형성
• 이동평균선: 주요 이동평균선과 CME 갭이 겹치는 영역은 "복합 지지/저항"으로 작용
• 수평 지지/저항: 과거 중요 가격대와 CME 갭 일치 시 매우 강력한 가격 반응 예상 가능
• 시장 심리 지표(RSI/MACD): 갭 영역 접근 시 과매수/과매도 확인으로 반응 가능성 판단
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◆ 결론
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 단순한 갭 표시 도구가 아닌, 가격이 강하게 반응할 수 있는 중요한 지지/저항 영역을 직관적인 색상 코드(파란색=지지, 빨간색=저항)로 시각화하는 고급 분석 도구입니다. 주말과 공휴일 휴장 시간뿐만 아니라, 평일 1시간 휴장 시간, 중요 경제지표 발표, 그리고 시장 충격 상황에서 발생하는 모든 유형의 갭을 누락 없이 감지합니다.
인디케이터의 핵심 가치는 갭이 단순한 가격 불연속성이 아닌, 미래 가격 행동에 중요한 영향을 미치는 심리적 지지/저항 영역임을 직관적인 색상 코드로 명확히 표현하는 데 있습니다. 파란색 갭은 지지 역할을, 빨간색 갭은 저항 역할을 하는 영역을 즉각적으로 식별할 수 있어 트레이더가 빠르고 효과적인 의사결정을 내릴 수 있도록 도와줍니다.
갭 영역에 접근할 때마다 색상 코드를 참고하여 가능한 가격 반응을 예측하고, 특히 색상 전환이 일어나는 순간(파란색→빨간색 또는 빨간색→파란색)은 중요한 시장 심리 변화 신호로 해석하여 트레이딩 전략에 통합한다면, 더 높은 확률의 거래 기회를 포착할 수 있을 것입니다.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME Gap Detector는 보조 지표로 사용되어야 하며 단독으로 거래 결정을 내리는 데 사용해서는 안 됩니다. 과거의 갭 반응 패턴이 미래에도 동일하게 작용한다고 보장할 수 없습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
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) = Σ 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.
— Dskyz , for DAFE Trading Systems
STICKY MONEY ai v69.23STICKY MONEY ai - Multi-Timeframe Confluence Analysis System v69.23
This closed-source overlay indicator integrates multiple analytical layers to highlight high-probability confluence zones in dynamic markets such as crypto, forex, and indices.
Proprietary Core Mechanism:
- Adaptive Tension Release Logic: Identifies build-up phases through strength-filtered pivots and momentum decay analysis, releasing signals only when a dynamic volatility-based tension threshold is met. This filtering minimizes false breaks and whipsaws typical in standard fractal or pivot-based tools.
Layered Components & Synergistic Interaction:
- 7-Timeframe Bias Monitor: Provides directional alignment across multiple TFs, anchored by the 4H EMA 50, serving as a higher-TF filter to reduce noise on lower timeframes.
- HOT TIME Volatility Windows: Detects 30-minute peak expansion periods from historical session data, restricting signals to high-liquidity institutional windows.
- Structural Confluence Clusters: Auto-detects intersections of session boxes (London, NY, Asian), multi-period Fibonacci clusters (90-min, NY, daily/weekly/monthly), and visible-range volume nodes/gaps for targeted entry/exit focus.
- Volume Profile & Distribution: Highlights high-volume acceptance zones and low-volume gaps to validate level strength.
- Automated Trendlines & Fractals: Combines pivot-based lines with clean swing detection for structural context.
Unique Edge & Value: Standard indicators (e.g., multi-TF EMAs, sessions, fibs, volume profiles) often generate excessive or conflicting signals in choppy conditions. This system's deliberate synergy — session windows + higher-TF bias as strict guards, paired with adaptive Tension Release for precise timing — creates a refined confluence framework that aims to deliver higher-quality setups with fewer false positives. The adaptive elements and real-time dashboard offer advantages over free/public equivalents, particularly for scalping or day trading on lower timeframes.
Usage:
- Optimal on 5m-15m charts for entries, higher TFs for bias.
- Customize inputs for sensitivity, timeframes, and alerts.
- Session timings use US Central Time reference; plots auto-adapt to chart timezone (display only).
- Analytical/educational tool only — no guarantees or financial advice; trade responsibly.
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
• Open Interest Candles
• Open Interest Delta
• Delta × Relative Volume
• Open Interest RSI
• Threshold-based alerts for unusually large OI increases or decreases
• 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
• Liquidations and rekt events
• Aggressive long/short buildup
• Position unwinds ahead of reversals
• OI-driven levels of interest
• Momentum confirmation (Delta × rVOL)
• Trend exhaustion (OI RSI)
NOTES
• Works across several exchanges for broader accuracy
• Coin or USD quoting supported
• Profile mode is resource-intensive
• No repainting
Ideal for traders who rely on OI, delta, and market positioning to understand futures flows and liquidity shifts.
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!
EMA Forecast [QuantAlgo]🟢 Overview
The EMA Forecast extends traditional Exponential Moving Average analysis by projecting potential future EMA values up to 20 bars ahead. Unlike conventional dual-EMA systems that only display historical crossovers and trend states, this indicator uses three proprietary forecasting models, each analyzing different market dimensions (structure, volume dynamics, or mathematical trend), to explore potential price paths and calculate how the fast and slow EMAs might evolve. This approach allows traders to form probabilistic expectations about future trend states, crossover timing, and momentum shifts across various asset classes and timeframes.
🟢 How It Works
The indicator operates through a multi-stage calculation process that projects EMA trajectories forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each examining different market characteristics (structural patterns, volume accumulation/distribution, or linear trend progression). These projected prices then undergo a dynamic oscillation process that applies realistic volatility scaled by ATR (Average True Range), simulating natural price movement patterns rather than producing unrealistic smooth projections. Finally, the system performs iterative EMA calculations using the standard exponential formula, feeding each forecasted price sequentially through both the fast and slow EMA algorithms to generate continuous projected values while maintaining mathematical consistency with the historical EMAs.
The forecasting engine recalculates projections on every bar update (or confirmed bar, based on settings), adapting to evolving market conditions through configurable lookback periods. The implementation preserves the mathematical integrity of EMA calculations while extrapolating trend trajectories, creating visual continuity between historical solid EMA lines and forecasted semi-transparent dashed lines that extend beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes.
▶ Practical Implications:
Explores potential EMA behavior during structural trend continuation
Identifies scenarios where structure breaks might influence EMA crossovers
Could be useful for swing traders and position traders who incorporate order flow and liquidity concepts
The Structure Influence parameter allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion when structure weakens or reverses
May assist in anticipating false breakouts when structure contradicts price direction
2. Volume-Weighted Model
This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios.
▶ Practical Implications:
Incorporates institutional footprint analysis into EMA trend forecasting
Attempts to distinguish between price moves supported by volume versus those that may lack follow-through
Could be particularly relevant in markets where volume data is reliable and significant
Volume Influence parameter enables adaptation to different market microstructures and liquidity profiles
Highlights potential accumulation/distribution phases that might precede major EMA crossovers
May help filter low-volume price noise that creates false EMA signals
Could be valuable for traders who require volume confirmation before acting on trend signals
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies.
▶ Practical Implications:
Delivers reproducible forecasts based on statistical principles
Performs well in established trending markets with clear directional bias
Minimal parameter sensitivity (primarily controlled by lookback period length)
Computationally efficient with fast recalculation suitable for multi-timeframe analysis
Serves as a neutral baseline to compare against the more complex structure and volume methods
Provides simpler forecasts in low-noise environments without the assumptions inherent in smart money or volume analysis
🟢 Universal Applications Across All Models
Each forecasting method projects potential future EMA values (both fast and slow lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible bullish or bearish EMA crosses several bars ahead, enabling proactive position planning rather than reactive trade execution
▶ Explore trend continuation scenarios: Assess whether current trends might maintain separation between EMAs or converge toward crossover zones
▶ Plan entry timing: Identify potential optimal entry points along the forecasted EMA trajectory, such as price pullbacks to the forecasted fast EMA in uptrends
▶ Evaluate trend strength: Monitor the distance between forecasted fast and slow EMAs as a proxy for potential momentum sustainability
▶ Develop systematic strategies: Build rules based on forecasted crossover timing, EMA slope changes, or convergence/divergence patterns
▶ Adapt to market conditions: Switch between forecasting methods based on current market character, e.g., structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments
▶ Assess risk/reward: Use forecasted EMA levels as potential dynamic support/resistance for stop-loss placement and profit target estimation
▶ Combine with other indicators: Layer forecasted EMA crossovers with momentum oscillators, volatility bands, or volume profiles for multi-confirmation setups
The indicator includes extensive customization options: adjustable EMA periods, forecast volatility control to simulate realistic or smooth price movement, realtime bar inclusion toggle, multiple color presets, optional bar coloring, crossover signal triangles, configurable transparency, and built-in alerts.
As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can account for unexpected news events, regime shifts, or black swan occurrences. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
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 → Bearish divergence
Price makes lower low, momentum makes higher low → 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.
chanlun缠论 - 笔与中枢Overview
The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), 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 (笔): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (中枢): 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 (笔) 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 (中枢) 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 (▼)
Green markers for bottoms (▲)
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
✓ Objective Structure: Removes subjectivity from market structure analysis
✓ Visual Clarity: Color-coded strokes and clear hub zones
✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
✓ Complete Framework: Provides entry, exit, and risk management levels
✓ Theoretical Foundation: Based on proven Chan Theory methodology
✓ Customizable: Extensive parameter and visual customization options
Limitations
⚠ Learning Curve: Requires understanding of Chan Theory principles
⚠ Lag Factor: Strokes confirm after price movements complete
⚠ Parameter Sensitivity: Different settings produce significantly different results
⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
⚠ 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 (🟢 Open / 🔴 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 (✓) 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 (✅) or exited without filling (❌)
- 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 (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) 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 →
- Followed by a retrace into a bullish OTE zone →
- 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
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ 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 (🟢 Open / 🔴 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 (✓) 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 (✅) or exited without filling (❌)
- 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 (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) 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 →
- Followed by a retrace into a bullish OTE zone →
- 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
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ 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.
52SIGNAL RECIPE Bid/Ask Intensity Monitor═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══
◆ Overview
52SIGNAL RECIPE Bid/Ask Intensity Monitor is a technical indicator that visualizes the balance of buying and selling forces in the market in real-time. Based on candle structure, this indicator calculates the relative strength of buying and selling pressure, displaying it through an intuitive color gradient gauge that allows traders to instantly grasp short-term market psychology and trading activity.
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◆ Key Features
• Intuitive Visualization: Instantly recognize buy/sell ratios through color gradient gauges
• Real-time Force Balance: Accurately display the buy/sell force ratio as a percentage in the current candle
• Candle Structure Analysis: Interpret market participant behavior through relationships between high, low, and close prices
• Chart Overlay: Displayed on the chart to observe changes in force balance alongside price movements
• Color Psychology: Provides intuitive psychological understanding through blue series (buy) and red series (sell) colors
─────────────────────────────────────
◆ Technical Foundation
■ Buy/Sell Ratio Calculation
• Basic Principle: Measure the relative strength of buyers and sellers by analyzing candle structure
• Buy Ratio Calculation: (Close - Low) ÷ (High - Low)
• Sell Ratio Calculation: 1 - Buy Ratio
• Interpretation Logic: The closer the closing price is to the high, the stronger the buying force; the closer to the low, the stronger the selling force
■ Visualization Mechanism
• Gradient Color Map: Express buy/sell intensity through 12-level color gradients
• Buy Color Range: Gradual change from light sky blue (#8be2ff) to deep navy blue (#103c60)
• Sell Color Range: Gradual change from light pink (#f65575) to deep burgundy (#3d101a)
• Gauge Structure: Vertical table positioned in the middle right of the chart for enhanced visual focus
─────────────────────────────────────
◆ Practical Applications
■ Market Psychology Identification
• Strong Buying Pressure Signals:
▶ When buy ratio is displayed as 70% or higher
▶ When the gauge is filled with bright blue shades
• Strong Selling Pressure Signals:
▶ When sell ratio is displayed as 70% or higher
▶ When the gauge is filled with bright red shades
• Force Balance State:
▶ When buy/sell ratio is in the 40-60% range
▶ When the color distribution in the gauge is even
■ Trading Strategy Application
• Trend Confirmation Strategy:
▶ Consecutive high buy ratios (70% or more) signal uptrend confirmation
▶ Consecutive high sell ratios (70% or more) signal downtrend confirmation
• Reversal Detection Strategy:
▶ Decreasing sell ratio during a downtrend suggests potential rebound
▶ Decreasing buy ratio during an uptrend suggests potential correction
• Volatility Breakout Strategy:
▶ Rapid changes in buy/sell ratio from a balanced state (50%) provide breakout signals
▶ Dramatic shifts in the opposite direction after extreme ratios signal trend reversals
─────────────────────────────────────
◆ Advanced Setting Options
■ Gauge Settings
• Gauge Width: Default value 15 (can be adjusted narrower or wider)
• Position Adjustment: Can be positioned at various locations on the chart (default is middle right)
• Border Thickness: Adjust border thickness for gauge visibility (default is 4)
■ Color Customization
• Buy Gradient: Color range can be modified according to personal preference
• Sell Gradient: Color range can be modified according to personal preference
• Transparency Settings: Optimize chart readability by adjusting background color transparency
■ Display Frequency Settings
• Update Cycle: Can be set to update every bar or at specific intervals
• History Length: Set display range for historical data
─────────────────────────────────────
◆ Synergy with Other Indicators
• Volume Profile: Analyze the Bid/Ask Intensity Monitor together with volume distribution to confirm buying/selling pressure at key price levels
• RSI: Improve signal reliability by checking extreme values of the Bid/Ask Intensity Monitor alongside RSI's overbought/oversold levels
• Moving Averages: Observe changes in the Bid/Ask Intensity Monitor when price is near key moving averages to assess support/resistance strength
• Bollinger Bands: Observe the Bid/Ask Intensity Monitor's reaction at band boundaries to evaluate potential reversals or trend continuation
─────────────────────────────────────
◆ Conclusion
52SIGNAL RECIPE Bid/Ask Intensity Monitor is a powerful tool that visualizes market participants' psychology and behavior in real-time based on candle structure. Through intuitive color gradients and percentage displays, it allows for immediate understanding of the balance between buying and selling forces, greatly aiding in predicting short-term market direction and momentum. When used in conjunction with other technical indicators, it provides a comprehensive understanding of market conditions, contributing to more accurate entry and exit timing decisions. This indicator, particularly useful in scalping and short-term trading, will enhance the chart analysis capabilities of all traders.
─────────────────────────────────────
※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══
◆ 개요
52SIGNAL RECIPE Bid/Ask Intensity Monitor는 실시간으로 시장의 매수/매도 세력 균형을 시각화하는 기술적 지표입니다. 이 지표는 캔들 구조를 기반으로 매수와 매도 압력의 상대적 강도를 계산하고, 직관적인 그라데이션 색상 게이지를 통해 표시함으로써 시장 참여자들의 단기 심리와 거래 활동을 한눈에 파악할 수 있게 합니다.
─────────────────────────────────────
◆ 주요 특징
• 직관적인 시각화: 매수/매도 비율을 색상 그라데이션 게이지로 즉각적으로 인식
• 실시간 세력 균형: 현재 봉에서의 매수/매도 세력 비율을 백분율로 정확히 표시
• 캔들 구조 기반 분석: 고가, 저가, 종가의 관계를 통해 시장 참여자 행동 해석
• 차트 오버레이: 차트 위에 표시되어 가격 움직임과 함께 세력 균형 변화 관찰 가능
• 색상 심리학 활용: 파란색 계열(매수)과 붉은색 계열(매도)로 직관적인 심리적 이해 제공
─────────────────────────────────────
◆ 기술적 기반
■ 매수/매도 비율 계산
• 기본 원리: 캔들의 구조를 분석하여 매수자와 매도자의 상대적 강도 측정
• 매수 비율 계산: (종가 - 저가) ÷ (고가 - 저가)
• 매도 비율 계산: 1 - 매수 비율
• 해석 논리: 종가가 고가에 가까울수록 매수 세력이 강하고, 저가에 가까울수록 매도 세력이 강함
■ 시각화 메커니즘
• 그라데이션 컬러 맵: 12단계 색상 그라데이션으로 매수/매도 강도 표현
• 매수 색상 범위: 밝은 하늘색(#8be2ff)에서 짙은 남색(#103c60)까지 점진적 변화
• 매도 색상 범위: 밝은 분홍색(#f65575)에서 짙은 적갈색(#3d101a)까지 점진적 변화
• 게이지 구조: 세로형 테이블로 우측 중앙에 배치되어 시각적 주목도 향상
─────────────────────────────────────
◆ 실용적 응용
■ 시장 심리 파악
• 강한 매수 압력 신호:
▶ 매수 비율이 70% 이상으로 표시될 때
▶ 게이지가 밝은 청색 계열로 채워질 때
• 강한 매도 압력 신호:
▶ 매도 비율이 70% 이상으로 표시될 때
▶ 게이지가 밝은 적색 계열로 채워질 때
• 세력 균형 상태:
▶ 매수/매도 비율이 40-60% 범위에 있을 때
▶ 게이지의 색상 분포가 균등할 때
■ 트레이딩 전략 적용
• 추세 확인 전략:
▶ 연속적인 높은 매수 비율(70% 이상)은 상승 추세 확인 신호
▶ 연속적인 높은 매도 비율(70% 이상)은 하락 추세 확인 신호
• 반전 탐색 전략:
▶ 하락 추세 중 매도 비율 감소는 반등 가능성 시사
▶ 상승 추세 중 매수 비율 감소는 조정 가능성 시사
• 변동성 돌파 전략:
▶ 균형 상태(50%)에서 급격한 매수/매도 비율 변화는 돌파 신호 제공
▶ 극단적 비율 후 반대 방향으로의 급격한 변화는 추세 전환 신호
─────────────────────────────────────
◆ 고급 설정 옵션
■ 게이지 설정
• 게이지 너비: 기본값 15 (좁게 또는 넓게 조정 가능)
• 위치 조정: 차트의 다양한 위치에 배치 가능 (우측 중앙 기본값)
• 테두리 두께: 게이지 가시성을 위한 테두리 굵기 조절 (기본값 4)
■ 색상 커스터마이징
• 매수 그라데이션: 개인 선호에 따라 색상 범위 수정 가능
• 매도 그라데이션: 개인 선호에 따라 색상 범위 수정 가능
• 투명도 설정: 배경색 투명도 조절로 차트 가독성 최적화
■ 표시 빈도 설정
• 업데이트 주기: 모든 봉마다 또는 특정 간격으로 업데이트 설정 가능
• 히스토리 길이: 과거 데이터에 대한 표시 범위 설정
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 볼륨 프로파일: Bid/Ask Intensity Monitor와 볼륨 분포를 함께 분석하여 주요 가격대의 매수/매도 압력 확인
• RSI: Bid/Ask Intensity Monitor의 극단치와 RSI의 과매수/과매도 수준을 함께 확인하여 신호 신뢰도 향상
• 이동평균선: 가격이 주요 이동평균선 근처에서 Bid/Ask Intensity Monitor 변화를 관찰하여 지지/저항 강도 판단
• 볼린저 밴드: 밴드 경계에서의 Bid/Ask Intensity Monitor 반응을 관찰하여 반전 또는 추세 지속 가능성 평가
─────────────────────────────────────
◆ 결론
52SIGNAL RECIPE Bid/Ask Intensity Monitor는 캔들 구조를 기반으로 시장 참여자들의 심리와 행동을 실시간으로 시각화하는 강력한 도구입니다. 직관적인 색상 그라데이션과 백분율 표시를 통해 매수/매도 세력의 균형을 즉각적으로 파악할 수 있어, 시장의 단기적 방향성과 모멘텀을 예측하는 데 큰 도움이 됩니다. 다른 기술적 지표와 함께 사용하면 시장 상황에 대한 종합적인 이해를 얻을 수 있으며, 이는 더 정확한 진입 및 퇴출 타이밍을 결정하는 데 기여합니다. 특히 스캘핑과 단기 트레이딩에서 유용하게 활용될 수 있는 이 지표는 모든 트레이더의 차트 분석 능력을 한 단계 향상시켜 줄 것입니다.
─────────────────────────────────────
※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool
Indicator Overview
Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time.
Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters.
Core Features
Dynamic Zones That Adjust in Real-Time:
The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes.
By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts.
All Timeframes, One View:
With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts.
Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries.
Customisable Like Never Before:
Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus.
Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance.
Why You Need This Tool
Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time.
Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies.
Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis.
Configuration Instructions
1.) Timeframe Selection:
Choose which timeframes to display using the Timeframe Selection panel.
Intraday Focus: 5m, 15m, 1H.
Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly.
Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap.
2.) MA Settings:
MA Types:
21 EMA: Perfect for capturing short-term trends and fast price action.
21 SMA: The smooth operator for spotting longer-term trends with more consistency.
Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence.
3.) Visual Tweaks:
Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive).
Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels.
Labels: Show real-time MA values and timeframe-specific details for further clarity.
Trading Strategies That Pack a Punch
1.) Trend Confirmation:
Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend.
Downtrend: Price holding below these MAs signals a bearish market.
2.) Zone-Based Reversals:
Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI.
Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA.
3.) Confluence Trading:
Combine the zones with other indicators to amplify your trade setups:
Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area.
Volume Profile: High-volume nodes near key zones strengthen their significance.
Best Practices for Maximum Profit
Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making.
Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused.
Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades.
Example of a Winning Setup
Scenario:
Price retraces to the 1H 21 EMA zone.
The Daily 21 SMA zone is nearby—talk about confluence!
RSI shows oversold conditions, indicating a potential reversal.
Action:
Enter long on a bullish candlestick pattern (e.g., bullish engulfing).
Set your stop-loss just below the Daily 21 SMA zone.
Target the next higher timeframe resistance.
Performance Considerations
Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal.
Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation.
Conclusion
The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success.
Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
Futures Full FS ScreenerFull FS Screener
This indicator allows traders to have a view of multiple pairs and timeframes buy/sell signals and specific information of parameters, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
7. The trend is determined according to these parameters and their different values, which might indicate that we are in a bullish or bearish trend. The trend has a max positive (bullish) value of 6 and a max negative (bearish) value of -6.
Full Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). Moreover, allows traders to have handy all information of the Future FS Indicator that might be analyzed further for each pair. It has the following characteristics:
• It can be placed anywhere on the screen through the main menu of the indicator.
• It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
• It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
• The screener shows the pairs, which can be changed within the menus.
• The screener shows the Long, Short, Strong Long and Strong Short Signals in its las column but previously, it shows the parameters that determined the possible position. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD calculated internally, are also summarized in the screener.
For analyzing a specific pair, refer to the TwV Futures Indicator – FS, which is other indicator that might be on my TradingView Profile and that was used as base for the screener.
Futures Simple FS ScreenerSimple FS Screener
This indicator allows traders to have a simple view of multiple pairs and timeframe buy/sell signals, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
Simple Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). It has the following characteristics:
It can be placed anywhere on the screen through the main menu of the indicator.
It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
The screener shows the pairs (which can be changed within the menus) and as part of being the simple screener it shows the Long, Short, Strong Long and Strong Short Signals. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD are calculated internally and its data will not be shown.
For viewing all parameters, refer to the Futures FS Full Screener or the TwV Futures Indicator – FS, which are other indicators that might be on my TradingView Profile
Promethus █ OVERVIEW
HPT Master Suite is an all-in-one institutional trading toolkit combining multi-timeframe analysis, Smart Money Concepts (SMC), and volume-based detection systems.
█ FEATURES
MTF DASHBOARD
- Real-time analysis across 9 timeframes (1M to Monthly)
- MA alignment status with trend detection
- RSI and squeeze monitoring
- Macro data row (VIX, DXY, 10Y, OIL)
- 5/20 and 9/21 cross confluence tracking
SMART MONEY CONCEPTS
- Volumetric Order Blocks with engagement detection
- Fair Value Gaps with 50% CE line
- Liquidity sweep detection
- Unicorn Model (FVG + OB overlap)
VOLUME ANALYSIS
- Dynamic Volume Profile (POC, VAH, VAL)
- High/Low Volume Nodes
- Naked POC tracking
- Absorption detection with strength gauge
INSTITUTIONAL TOOLS
- 55 SMA institutional support level
- Significant wick levels
- Session boxes (Asia, London, NYSE, Lunch, PM)
- SMT Divergence detection
SIGNALS
- Buy/Sell signals with adjustable sensitivity
- Golden/Death Cross alerts
- OB engagement alerts
█ USAGE
Enable features as needed - all components are modular and can be toggled independently. Start with the dashboard and add SMC/volume tools based on your trading style.
█ SETTINGS
Most detection parameters use simplified controls (Low/Medium/High) for ease of use while maintaining effectiveness.
█ NOTES
Works best on futures (NQ, ES) and indices. Dashboard updates in real-time across all timeframes.
For TradingView I am not redirecting, and or soliciting any service. If your interesting in learning more and how I trade with a 98% WR in options and above 80% in futures the links to my FREE site's are listed in my profile.
High Volume Nodes HVNWhat Are High Volume Nodes (HVNs)?
In a volume profile or chips distribution indicator, a high volume node is a price level where a large amount of traded volume has accumulated. This means a lot of “chips” (trading activity) took place at that price.
In simple terms:
HVNs mark prices where buyers and sellers agreed the most, creating heavy trading congestion.
Why Are HVNs Important?
1. Strong Support or Resistance Zones
Because many trades occurred at an HVN, market participants often view that price as “fair value.”
Price tends to slow down, pause, or reverse at HVNs.
2. Mean Reversion Behavior
HVNs tend to act like magnets:
If price moves far away, it often returns to HVN levels to retest them.
3. Balance Areas
An HVN signals that the market spent a lot of time trading at that price, indicating consensus or balance.
How to Use HVNs in Trading
1. Identify Support/Resistance
HVNs often mark durable S/R levels.
Price frequently retests or bounces from HVNs.
2. Detect Trading Ranges
Multiple HVNs clustered together indicate balance zones or accumulation/distribution areas.
3. Target Zones
When price moves away from an HVN, it often:
revisits the HVN (mean reversion), or
moves toward the next HVN in the profile.
Settings
Timeframe (Slices) (Lookback) (Label %)
Daily (50) (80-250) (0.60)
Weekly (40) (180) (0.65)
Monthly (30) (120) (0.70)
Quarterly (25) (70) (0.75)
No financial advice, no buy/sell recommendation. Only for educational purposes
High-Res VP + Macro Auto Fib DJVolume profiling plus Fibonacci for the descrationary trader.
Volume profile: The most important tool that I know.
Fib: Gives you an idea of the moves.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Liquidity Heatmap Concepts [sma] Overview
Liquidity Heatmap Concepts is a sophisticated visualization tool that maps potential liquidation zones for leveraged positions across multiple timeframes. It calculates and displays where high-volume liquidations might occur at various leverage levels (25x, 50x, 100x, 150x), helping traders identify potential support/resistance zones created by cascading liquidations. Additionally, it includes a quarterly volume profile to show historical price distribution and Point of Control levels.
### Volume-Based Trigger System
Lines are only drawn when volume exceeds a threshold:
1. Calculates 14-period simple moving average of volume
2. Applies configurable multiplier (default 1.2x) to determine significance
3. Only plots liquidation levels when current volume > (Volume SMA × Multiplier)
4. This filters out low-volume noise and focuses on meaningful zones
### Visual Intensity System
The indicator uses a gradient coloring system based on relative volume:
- **Peak Volume (White)**: When current bar has maximum volume in the dataset
- Line width: 3 pixels
- Brightest color intensity
- **Above Average Volume**: Volume exceeds average but isn't peak
- Line width: 2 pixels
- Medium color intensity
- **Standard Volume**: Exceeds threshold but below average
- Line width: 1 pixel
- Base color intensity
### Line Extension & Management
- Lines extend horizontally to the right until price crosses them
- Automatic cleanup removes lines after maximum count (default 500)
- Lines persist until invalidated by price action crossing the level
- Oldest lines are removed first when limit is reached
### Quarterly Volume Profile
An optional fixed-range volume profile that:
1. **Automatic Quarter Detection**: Identifies Q1 (Jan-Mar), Q2 (Apr-Jun), Q3 (Jul-Sep), Q4 (Oct-Dec)
2. **Price Distribution Analysis**: Divides the quarter's price range into configurable rows (default 20)
3. **Volume Aggregation**: Accumulates volume at each price level throughout the quarter
4. **POC Identification**: Highlights the price level with highest volume (Point of Control)
5. **Value Area**: Shows the price range containing 70% (configurable) of total volume
6. **Profile Drawing**: At the start of each new quarter, draws the previous quarter's profile as horizontal bars
The volume profile can be positioned on either left or right side of the quarter range with adjustable width.
## Key Features
- **Multi-Leverage Display**: Toggle between 25x, 50x, 100x, and 150x leverage levels independently
- **Dual Side Tracking**: Separate visualization for long and short liquidation zones
- **Volume-Weighted Importance**: Visual intensity correlates with volume significance
- **Gradient Coloring**: Color intensity reflects relative volume magnitude
- **Smart Line Management**: Automatic cleanup prevents chart clutter
- **Historical Context**: Quarterly volume profile shows where price spent most time
- **Fully Customizable**: All colors, thresholds, and display options are adjustable
- **HD Mode**: Uses absolute volume for more precise visualization
## Parameters
### Leverage Selection
- **25x, 50x, 100x, 150x Toggles**: Enable/disable specific leverage levels
- Each level can be controlled independently
### Volume Configuration
- **Minimum Volume Multiplier** (default 1.2): Threshold above volume SMA to trigger lines
- Higher values = fewer but more significant levels
- Lower values = more levels but increased noise
### Advanced Settings
- **Maximum Lines** (default 500, range 50-500): Memory management limit
- Controls how many historical liquidation lines are maintained
### Quarterly Volume Profile
- **Show Previous Q Volume Profile** (default on): Toggle profile visibility
- **Number of Rows** (default 20, range 10-50): Price distribution granularity
- **Profile Width** (default 30%): Visual width as percentage of quarter range
- **Value Area** (default 70%): Percentage of volume for value area calculation
- **Position** (Left/Right): Profile placement relative to quarter
- **Show Values** (default off): Display POC volume label
- **Colors**: Customizable base and POC colors
### Color Customization
- **Long Colors**: Individual colors for each leverage level (25x, 50x, 100x, 150x)
- **Short Colors**: Separate color scheme for short liquidation zones
- **VP Colors**: Base color and POC highlight color for volume profile
## Interpretation
### Liquidation Clusters
- **Dense Line Areas**: Multiple overlapping liquidation levels suggest strong magnetic zones
- **High-Volume Lines**: Brighter/thicker lines indicate more significant potential liquidations
- **Line Breaks**: Price crossing multiple liquidation lines may trigger cascade effects
### Trading Applications
- **Support/Resistance**: Liquidation clusters often act as temporary support/resistance
- **Stop Hunt Zones**: Areas where price may spike to trigger liquidations before reversing
- **Momentum Acceleration**: Breaking through dense clusters can indicate strong directional moves
- **Risk Management**: Avoid placing stops directly at obvious liquidation levels
### Volume Profile Usage
- **POC (Point of Control)**: Price level with highest volume - often acts as strong support/resistance
- **Value Area**: Where most trading activity occurred - indicates fair value range
- **Profile Shape**:
- Balanced profile (bell curve) = ranging market
- Skewed profile = trending market with acceptance at extremes
- **Profile Gaps**: Low volume areas suggest price may move quickly through these zones
### Combined Analysis
- Liquidation lines near quarterly POC create extra-strong zones
- Price returning to value area from outside often finds support/resistance
- Liquidation clusters at value area edges suggest potential reversal points
## Technical Implementation
This indicator features:
- **Custom Type Structures**: Uses type definitions for organized data storage
- `BarData`: Stores OHLCV and index information
- `LiquidityBin`: Manages arrays of line objects for each leverage level
- `VolumeProfileData`: Handles profile boxes, labels, and range data
- **Dynamic Line Objects**: Creates, updates, and deletes line primitives programmatically
- **Array-Based History**: Maintains volume history for gradient calculations
- **Intelligent Cleanup**: Automatic memory management prevents performance degradation
- **Mathematical Precision**: Leverage-based liquidation formulas ensure accurate price levels
- **Quarterly Aggregation**: Efficient volume accumulation with automatic period detection
- **Box Drawing System**: Dynamic profile visualization using box primitives
## Originality Statement
This indicator presents a unique approach to liquidity visualization:
- Implements leverage-specific liquidation price calculations based on mathematical formulas
- Uses volume-weighted gradient coloring system that adapts to relative volume significance
- Combines real-time liquidation mapping with historical volume profile analysis
- Features intelligent line lifecycle management with automatic extension and cleanup
- Integrates quarterly volume profile with configurable value area and POC detection
- Employs multi-layer visual hierarchy (line width + color intensity) for information density
- Uses custom data structures to efficiently manage hundreds of line objects simultaneously
The combination of mathematical liquidation pricing, volume-based filtering, gradient visualization, and quarterly volume distribution creates a comprehensive liquidity analysis tool.
## Best Practices
- Use on liquid markets (major cryptocurrencies, forex pairs) for best accuracy
- Lower timeframes (1m-15m) for day trading and scalping
- Higher timeframes (1h-4h) for swing trading context
- Combine with volume profile to identify high-probability reversal zones
- Watch for price reactions when approaching dense liquidation clusters
- Increase volume multiplier in choppy markets to reduce noise
- Reduce maximum lines on lower timeframes to maintain performance
- Use quarterly volume profile to understand longer-term fair value
## Important Notes
- Liquidation prices are estimates based on leverage ratios
- Actual exchange liquidation prices may vary due to:
- Maintenance margin requirements
- Mark price vs last price calculations
- Individual exchange liquidation engines
- Insurance fund mechanisms
- This tool shows potential zones, not guaranteed liquidation prices
- Volume profile resets each quarter automatically
---
Works on all timeframes and asset classes. Designed for crypto/forex leverage markets. For educational purposes only. Not financial advice.
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes.
How the Indicator Works
Dynamic Levels:
- Yellow Dotted Line: Represents the entry level, following the latest price dynamically.
- Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time.
- Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts.
Bollinger Bands:
Provides context for market volatility and potential overbought/oversold zones.
Narrowing bands signal consolidation, while expanding bands indicate increased volatility.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the lower Bollinger Band.
Sell Signal: Triggered when the price crosses below the upper Bollinger Band.
These signals help traders time entries and exits based on momentum shifts.
Risk/Reward Analysis:
Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels.
Timeframe Suggestions
Short-Term Traders (Scalping):
Use on 5-minute to 15-minute charts.
Focus on high-volatility periods for quick entries and exits.
Intraday Traders:
Ideal for 30-minute to 1-hour charts.
Provides more stable signals and less noise.
Swing Traders:
Best suited for 4-hour or daily charts.
Captures broader trends with fewer signals, allowing for larger moves.
Tool Combination
Volume Profile:
Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels.
Trend Indicators:
Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction.
Example: Only take buy signals in an uptrend and sell signals in a downtrend.
Momentum Oscillators:
Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions.
Support/Resistance Lines:
Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones.
Useful Advice for Traders
Risk Management:
- Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2).
- Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping).
Avoid Overtrading:
Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods.
Monitor market volatility:
Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs.
Test on Demo Accounts:
Practice using the indicator on a demo account to understand its behavior across different assets and timeframes.
Focus on High-Liquidity Markets:
For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices.
Summary
The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here!
Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action.
The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing.
This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred.
Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows.
Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
