52SIGNAL RECIPE Whale Smart Money Detector52SIGNAL RECIPE Whale Smart Money Detector
◆ Overview
52SIGNAL RECIPE Whale Smart Money Detector is an innovative indicator that detects the movements of whales (large investors) in the cryptocurrency market in real-time. This powerful tool tracks large-scale trading activities that significantly impact the market, providing valuable signals before important market direction changes occur. It can be applied to any cryptocurrency chart, allowing traders to follow the movements of big money anytime, anywhere.
The unique strength of this indicator lies in its comprehensive analysis of volume surges, price volatility, and trend strength to accurately capture whale market entries and exits. By providing clear visual representation of large fund flow data that is difficult for ordinary traders to detect, you gain the opportunity to move alongside the big players in the market.
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◆ Key Features
• Whale Activity Detection System: Analyzes volume surges and price impacts to capture large investor movements in real-time
• Precise Volume Analysis: Distinguishes between regular volume and whale volume to track only meaningful market movements
• Market Impact Measurement: Quantifies and analyzes the real impact of whale buying/selling on the market
• Continuity Tracking: Follows market direction continuity after whale activity to confirm signal validity
• Intuitive Visualization: Easily identifies whale activity points through color bar charts and clear labels
• Trend Strength Display: Calculates and displays current market buy/sell strength in real-time in a table
• Whale Signal Filtering: Applies multiple filtering systems to detect only genuine whale activity
• Customizable Sensitivity Settings: Offers flexible parameters to adjust whale detection sensitivity according to market conditions
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◆ Understanding Signal Types
■ Whale Buy Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price rises beyond normal volatility
• Visual Representation: Translucent blue bar coloring with "🐋Whale Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that large funds are actively buying the coin, which is likely to lead to price increases
■ Whale Sell Signal
• Definition: Occurs when volume increases significantly above average, immediate volume impact is large, and price falls beyond normal volatility
• Visual Representation: Translucent pink bar coloring with "🐋Whale Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that large funds are actively selling the coin, which is likely to lead to price decreases
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◆ Understanding Trend Analysis
■ Trend Analysis Method
• Definition: Measures current trend and strength by analyzing the ratio of up/down candles over a set period
• Visual Representation: Displayed in the table as "BUY" and "SELL" percentages, with the current trend clearly marked as "BULLISH", "BEARISH", or "NEUTRAL"
• Calculation Method:
▶ Buy ratio = (Number of up candles) / (Total analysis period)
▶ Sell ratio = (Number of down candles) / (Total analysis period)
▶ Current trend determined by the dominant ratio as "BULLISH" or "BEARISH"
■ Trend Utilization Methods
• Whale Signal Confirmation: Signal reliability increases when whale signals align with the current trend
• Reversal Point Identification: Opposing whale signals during strong trends may indicate important reversal points
• Market Strength Assessment: Understand the balance of power in the current market through buy/sell ratios
• Signal Context Understanding: Consider trend information alongside whale signals for interpretation in a broader market context
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◆ Indicator Settings Guide
■ Key Setting Parameters
• Volume Impact Factor:
▶ Purpose: Sets the minimum multiplier for immediate volume impact to be considered whale activity
▶ Lower values: Generate more signals, detect smaller whales
▶ Higher values: Fewer signals, detect only very large whales
▶ Recommended range: 2.0-4.0 (adjust according to market conditions)
• Sensitivity Factor:
▶ Purpose: Adjusts sensitivity of price movement relative to normal volatility
▶ Lower values: Increased sensitivity, more signals generated
▶ Higher values: Decreased sensitivity, only stronger price impacts detected
▶ Recommended range: 0.2-0.5 (set higher in highly volatile markets)
• Trend Analysis Period:
▶ Purpose: Sets the number of candles to calculate buy/sell ratios
▶ Lower values: More responsive to recent trends
▶ Higher values: More stable analysis considering longer-term trends
▶ Recommended range: 30-70 (adjust according to trading style)
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◆ Synergy with Other Indicators
• Key Support/Resistance Levels:
▶ Whale signals occurring near important technical levels have higher reliability
▶ Coincidence of weekly/monthly pivot points and whale signals confirms important price points
• Moving Averages:
▶ Pay attention to whale signals near key moving averages (50MA, 200MA)
▶ Simultaneous occurrence of moving average breakouts and whale signals indicates important technical events
• Volume Profile:
▶ Whale activity near high volume nodes confirms important price levels
▶ Whale signals at low volume nodes may indicate possibility of rapid price movements
• Volatility Indicators:
▶ Whale signals after periods of low volatility may mark the beginning of new market movements
▶ Whale signals after Bollinger Band contraction may be precursors to large movements
• Market Structure:
▶ Whale signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and whale activity may signal important trend changes
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◆ Conclusion
52SIGNAL RECIPE Whale Smart Money Detector tracks the trading activities of large investors in the cryptocurrency market in real-time, providing traders with valuable insights. Because it can be applied to any cryptocurrency chart, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of large fund flows that are easily missed by ordinary traders. By comprehensively analyzing volume surges, immediate price impacts, and trend continuity to accurately capture whale activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals and real-time trend strength measurements help traders quickly grasp market conditions and understand market direction. By integrating this powerful tool into your trading system, gain insights into where the market's smart money is flowing for better market understanding.
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※ Disclaimer: Like all trading tools, the 52SIGNAL RECIPE Whale Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of whale behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
52SIGNAL RECIPE Whale Smart Money Detector
◆ 개요
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 고래(대형 투자자)의 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 시장에 큰 영향을 미치는 대규모 트레이딩 활동을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 모든 암호화폐 차트에 적용 가능하여 트레이더들이 언제 어디서든 대형 자금의 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 거래량 급증, 가격 변동성, 그리고 추세 강도를 종합적으로 분석하여 고래의 시장 진입과 퇴출을 정확히 포착한다는 점입니다. 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 고래 활동 감지 시스템: 거래량 급증과 가격 임팩트를 분석하여 대형 투자자의 움직임을 실시간으로 포착
• 정밀한 거래량 분석: 일반 거래량과 고래 거래량을 구분하여 의미 있는 시장 움직임만 추적
• 시장 영향력 측정: 고래의 매수/매도가 시장에 미치는 실질적 영향력을 수치화하여 분석
• 연속성 추적: 고래 활동 이후 시장 방향의 지속성을 추적하여 신호의 유효성 확인
• 직관적 시각화: 컬러 바 차트와 명확한 라벨을 통해 고래 활동 지점을 쉽게 식별
• 추세 강도 표시: 현재 시장의 매수/매도 강도를 실시간으로 계산하여 테이블에 표시
• 고래 신호 필터링: 진정한 고래 활동만 감지하도록 다중 필터링 시스템 적용
• 맞춤형 감도 설정: 시장 상황에 따라 고래 감지 감도를 조절할 수 있는 유연한 파라미터 제공
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◆ 신호 유형 이해하기
■ 고래 매수 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 상승할 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "🐋Whale Buying Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
■ 고래 매도 신호
• 정의: 거래량이 평균보다 크게 증가하고, 즉각적인 거래량 충격이 크며, 가격이 정상 변동성을 초과하여 하락할 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "🐋Whale Selling Detected!" 라벨 표시
• 시장 해석: 대형 자금이 적극적으로 코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
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◆ 추세 분석 이해하기
■ 추세 분석 방식
• 정의: 설정된 기간 동안의 상승/하락 캔들 비율을 분석하여 시장의 현재 추세와 강도를 측정
• 시각적 표현: 테이블에 "BUY"와 "SELL" 비율이 백분율로 표시되며, 현재 추세가 "BULLISH", "BEARISH" 또는 "NEUTRAL"로 명확하게 표시됨
• 계산 방식:
▶ 매수 비율 = (상승 캔들 수) / (전체 분석 기간)
▶ 매도 비율 = (하락 캔들 수) / (전체 분석 기간)
▶ 우세한 비율에 따라 "BULLISH" 또는 "BEARISH" 추세 결정
■ 추세 활용 방법
• 고래 신호 확인: 고래 신호가 현재 추세와 일치할 때 신호의 신뢰도가 높아짐
• 반전 포인트 식별: 강한 추세 속에서 발생하는 반대 방향의 고래 신호는 중요한 반전 포인트일 수 있음
• 시장 강도 평가: 매수/매도 비율을 통해 현재 시장의 세력 균형 파악
• 신호 발생 맥락 이해: 추세 정보와 고래 신호를 함께 고려하여 더 넓은 시장 컨텍스트에서 해석
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Volume Impact Factor (거래량 임팩트 요소):
▶ 목적: 고래 활동으로 간주할 즉각적인 거래량 충격의 최소 배수 설정
▶ 낮은 값: 더 많은 신호 생성, 작은 고래도 감지
▶ 높은 값: 더 적은 신호, 매우 큰 고래만 감지
▶ 권장 범위: 2.0-4.0 (시장 상황에 따라 조정)
• Sensitivity Factor (민감도 요소):
▶ 목적: 정상 변동성 대비 가격 변동의 민감도 조절
▶ 낮은 값: 민감도 증가, 더 많은 신호 생성
▶ 높은 값: 민감도 감소, 더 강한 가격 충격만 감지
▶ 권장 범위: 0.2-0.5 (변동성이 높은 시장에서는 높게 설정)
• Trend Analysis Period (추세 분석 기간):
▶ 목적: 매수/매도 비율을 계산할 캔들 수 설정
▶ 낮은 값: 최근 추세에 더 민감하게 반응
▶ 높은 값: 더 긴 기간의 추세를 고려하여 안정적인 분석
▶ 권장 범위: 30-70 (트레이딩 스타일에 따라 조정)
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◆ 다른 지표와의 시너지
• 주요 지지/저항 레벨:
▶ 중요한 기술적 레벨 근처에서 발생하는 고래 신호는 더 높은 신뢰도를 가짐
▶ 주간/월간 피봇 포인트와 고래 신호의 일치는 중요한 가격 지점을 확인해줌
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 고래 신호에 주목
▶ 이동평균선 돌파와 고래 신호가 동시 발생 시 중요한 기술적 이벤트 확인
• 볼륨 프로필:
▶ 높은 볼륨 노드 근처에서의 고래 활동은 중요한 가격 레벨 확인
▶ 낮은 볼륨 노드에서 발생하는 고래 신호는 급격한 가격 이동 가능성 암시
• 변동성 지표:
▶ 낮은 변동성 구간 이후 발생하는 고래 신호는 새로운 시장 움직임의 시작일 수 있음
▶ 볼린저 밴드 수축 후 발생하는 고래 신호는 큰 움직임의 전조일 수 있음
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 고래 신호는 구조 변화 암시
▶ 시장 구조 변화와 고래 활동의 일치는 중요한 트렌드 변화 신호일 수 있음
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◆ 결론
52SIGNAL RECIPE Whale Smart Money Detector는 암호화폐 시장에서 대형 투자자들의 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 모든 암호화폐 차트에 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 놓치기 쉬운 대형 자금의 흐름을 직관적으로 시각화하여 제공한다는 점입니다. 거래량 급증, 즉각적인 가격 충격, 그리고 추세 지속성을 종합적으로 분석하여 고래의 활동을 정확히 포착함으로써, 여러분은 시장을 움직이는 큰 손들과 함께할 수 있는 기회를 얻게 됩니다.
명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 시장의 방향성을 이해하는 데 도움을 줍니다. 이 강력한 도구를 여러분의 트레이딩 시스템에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 더 나은 통찰력을 얻으세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, 52SIGNAL RECIPE Whale Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 고래 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
Trend Analizi
Daily EMA Cloud on Smaller TimeframesSee the daily cloud on any time frame... Colors and Exponential Moving Average (EMA) are adjustable settings.
Above Monthly OpenThis script:
Calculates the monthly open on the first bar of each new month.
Checks if the current price is above that open.
Highlights the background green if it's above.
Adds a triangle when the close just crossed above the monthly open.
Volume Reinforced Supply/Demand Zoneswhen trading supply and demand i found a way to see which zones are high quality zones. this indicator tries to do that for you. its not nearly as good as doing it manually, but its pretty decent. feel free to fine tune the settings and see which works best for you.
the indicator uses volume and price movement to draw supply and demand zones. if the zone is tested, it will change color to let you know, so you can decide whether or not to use the zone.
if a zone is broken, it will display a signal which tells you which candle broke through the zone.
you can change in the settings the requirements for an area to be considered a zone.
ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis.
Core Calculation
The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation.
True Range is calculated from the current high, low, and previous close.
Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars.
These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range.
The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value.
The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization.
Visualization Enhancements
Several plots and conditions have been added to improve interpretability:
Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme.
Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually.
Mirrored ADX is internally calculated for certain overlays but not directly plotted.
The script also provides small circles and diamonds to highlight:
Crossovers between ADX and its signal line.
DI crossing above or below the 25 threshold.
Rising ADX confirmed by rising DI values, with point size reflecting ADX strength.
Divergence Detection
The indicator includes optional detection of fractal-based divergences on the DI curve:
Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI.
Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly.
Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives.
ADX/DI Table
When enabled, a floating table displays live values and summaries:
ADX value , trend direction (rising/falling), and qualitative strength.
DI composite , trend direction, and relative strength.
Contextual power dynamics , describing whether bulls or bears are gaining or losing strength.
The background colors of the table reflect current trend strength and direction.
Interpretation Guidelines
ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions.
+DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction.
When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening.
Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation.
The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe.
Added Value over Existing Indicators
Fully color-graded ADX and DI display for better visual clarity.
Optional signal MA over ADX with crossover markers.
Rich contextual labeling for both divergence and threshold events.
Power dynamics commentary and live table help users contextualize current momentum.
Customizable options for smoothing type, divergence display, table position, and visual offsets.
These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values.
Limitations and Disclaimers
As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias.
Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets.
Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems.
The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF)
Version: PineScript™ v6
📌 Description
The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets.
Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user.
🚀 Points of Innovation
Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges.
Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications.
Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels.
Built-in information panel providing real-time strategy recommendations based on detected regimes.
Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles.
Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework.
🔧 Core Components
Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence.
Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control.
Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line.
Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length.
Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes.
Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights.
🔥 Key Features
Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics.
Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes.
Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability.
Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes.
Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing.
🎨 Visualization
Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price.
Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends.
Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment.
Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges."
📖 Usage Guidelines
Core Settings
Hurst Lookback Period
Default: 100
Range: 20-500
Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes.
Minimum MA Length
Default: 10
Range: 5-50
Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions.
Maximum MA Length
Default: 200
Range: 50-500
Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility.
Sensitivity Power
Default: 2.0
Range: 1.0-5.0
Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts.
MA Type
Default: EMA
Options: EMA, SMA, WMA
Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting.
🖼️ Visual Settings
Show Adaptive Bands
Default: True
Description: Toggles visibility of upper/lower bands for volatility channels.
Band Multiplier
Default: 1.5
Range: 0.5-3.0
Description: Scales band width using ATR; higher values create wider channels for conservative signals.
Show Information Panel
Default: True
Description: Displays regime info and strategy tips in a top-right panel.
MA Line Width
Default: 2
Range: 1-5
Description: Adjusts thickness of the main MA line for better visibility.
Color Theme
Default: Blue
Options: Blue, Classic, Dark Purple, Vibrant
Description: Selects color scheme for MA, bands, and fills to match user preferences.
🚨 Alert Settings
Enable Alerts
Default: True
Description: Activates notifications for regime changes and band breakouts.
✅ Best Use Cases
Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades.
Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels.
Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel.
Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries.
Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades.
⚠️ Limitations
Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools.
Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively.
Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting.
💡 What Makes This Unique
Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators.
Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution.
Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness.
🔬 How It Works
Hurst Exponent Computation:
Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio.
Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random.
Length Adaptation:
Maps normalized Hurst to an MA length via a power function, clamping between min and max.
Applies the selected MA type to close prices using this dynamic length.
Visualization and Signals:
Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength.
Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends.
💡 Note:
For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. Access premium features and support at PhenLabs.
Session High/Low/PD Selector with Realtime AlertsThis indicator displays key intraday and multi-day price levels directly on the chart for short-term traders. It includes:
Session Highs and Lows for Asia, London, and New York sessions
→ Automatically plots each completed session’s high and low, with lines extended to the right and labeled.
Previous Day High, Low, and Close
→ Draws levels from the prior daily candle with adjustable colors and labels.
Previous Week High and Low
→ Weekly key levels are plotted just like daily ones.
Real-time Alerts
→ Optional alerts trigger immediately when price touches or breaks any session, PDH/PDL, or PWH/PWL levels.
Fully Customizable
→ Toggle sessions, previous day/week levels, label positions, and colors per user preference.
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview
This indicator is a professional gold scalping tool built for TradingView using Pine Script v6.
It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking).
It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments.
2. Key Features
Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX.
Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close.
Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL.
Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates.
Customizable Filters – All filters can be turned ON/OFF to match your strategy.
3. Main Inputs & Settings
Account Settings
Capital ($) – Total trading capital.
Risk Percentage (%) – Risk per trade.
TP to SL Ratio – Risk-to-reward ratio.
Value Per Point ($) – Value per pip/point for lot size calculation.
SL Buffer – Extra points added to SL to avoid stop hunts.
Take Profit Settings
TP1 % of Full Target – Fraction of TP1 compared to TP2.
Move SL to Entry after TP1? – Activates Break Even after TP1.
Break Even Buffer – Extra points when moving SL to BE.
Take Partial Close at TP1 – Option to close half at TP1.
Signal Filters
ATR Period – For SL/TP calculation buffer.
EMA Trend – Uses EMA 9/21 crossover for trend.
Break of Structure (BoS) – Requires structure break confirmation.
Order Block (OB) – Validates trades within OB zones.
Fair Value Gap (FVG) – Confirms trades inside FVGs.
Liquidity Sweep – Checks if liquidity zones are swept.
Pin Bar Confirmation – Uses candlestick patterns for extra confirmation.
Pin Bar Body Ratio – Controls strictness of Pin Bar filter.
Higher Timeframe Filters (HTF)
HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend.
HTF BoS – Confirms with higher timeframe structure break.
HTF Timeframe – Selects higher timeframe.
Advanced Filters
SuperTrend Filter – Confirms trades based on SuperTrend.
ADX Filter – Filters out low volatility periods.
SMA Cross Filter – Uses SMA 8/9 cross as filter.
Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter.
4. How It Works
Buy Signal Conditions
EMA 9 > EMA 21 (trend bullish)
Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled.
When all active filters pass → Buy signal triggers.
Sell Signal Conditions
EMA 9 < EMA 21 (trend bearish)
Same filtering process but for bearish conditions.
When all active filters pass → Sell signal triggers.
5. Trade Execution & Management
When a signal triggers:
Lot size is auto-calculated based on risk % and SL distance.
SL is placed beyond recent swing high/low + ATR buffer.
TP1 and TP2 are calculated from the SL using the reward-to-risk ratio.
Break Even: If enabled, SL moves to entry price after TP1 is hit.
Partial Close: If enabled, half of the position closes at TP1.
Trade Exit: Full exit at TP2, SL hit, or partial close at TP1.
6. Chart Display
Entry Line – Shows entry price.
SL Line – Red dashed line at stop loss level.
TP1 Line – Lime dashed line for TP1.
TP2 Line – Green dashed line for TP2.
PnL Labels – Displays real-time profit/loss in $.
Trade Box – Visual area showing trade range.
Pin Bar Shapes – Optional, marks Pin Bars.
7. Statistics Panel
Stats Header – Shows “Stats”.
Total Trades
Wins
Losses
Breakeven Trades
Total PnL
Can be reset or filtered by date.
8. How to Use
Load the Indicator in TradingView.
Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m).
Adjust settings:
Use default gold scalping settings for quick start.
Enable/disable filters according to your style.
Wait for a Buy/Sell alert.
Confirm visually that all desired conditions align.
Place trade with calculated lot size, SL, and TP levels shown on chart.
Let trade run – the indicator manages Break Even & Partial Close if enabled.
9. Recommended Timeframes
Scalping: 1m, 5m, 15m
Day Trading: 15m, 30m, 1H
Swing: 4H, Daily (adjust settings accordingly)
Hilega-Milega by NK Sir (DalRoti)he "Hilega-Milega" indicator is a visual tool to:
Show RSI strength around the 50 level.
Highlight momentum visually with color fills.
Plot fast and slow moving averages of RSI (EMA 3 and WMA 21), giving insight into:
Short-term momentum vs. long-term strength
Potential reversals or trend continuation zones
Dark Pool Block Trades - Institutional Volume📊 Dark Pool Block Trades - Institutional Volume
Visualize where institutional money positions before major price moves occur. This indicator reveals hidden dark pool block trades that often precede significant price movements - because when smart money deploys millions and billions in strategic accumulation or distribution, retail traders need to see where it's happening.
🎯 WHY DARK POOL DATA MATTERS:
Institutions don't move large capital randomly. Dark pool block trades represent strategic positioning by sophisticated money managers with superior research and conviction. These trades create hidden support/resistance levels that often predict future price action.
The key principle: Follow institutional flow, don't fight it. When institutions get involved, they create high-probability trading opportunities.
💰 HOW INSTITUTIONS INFLUENCE PRICE:
- Large block trades establish hidden accumulation/distribution zones
- Smart money builds positions BEFORE retail awareness increases
- Institutional activity creates "footprints" at key technical levels
- These trades often signal conviction plays ahead of major moves
- Institutions typically add to winning positions throughout trends
🔍 WHAT THIS INDICATOR SHOWS:
- Visual overlay of dark pool block trades directly on price charts
- Track institutional positioning across major stocks and ETFs
- Identify accumulation/distribution zones before they become obvious to retail
- Spot high-conviction institutional trades in real-time visualization
- Customizable block trade size filters and timeframe selection
- Historical institutional activity up to 5 years or custom ranges
💡 THE TRADING ADVANTAGE:
Instead of guessing price direction, see where institutions are already positioning. When large block trades appear in dark pools, you're witnessing strategic institutional commitment that frequently leads to significant price movements.
⚡ HOW IT WORKS:
This Pine Script displays institutional dark pool transactions as visual markers on your charts. The script comes with sample data for immediate use. For expanded ticker coverage and real-time updates, external data services are available.
🎯 IDEAL FOR:
- Swing traders following institutional footprints
- Traders seeking setups backed by smart money conviction
- Position traders looking for accumulation zones
- Anyone wanting to align with institutional flow rather than fight it
🔄 SAMPLE DATA INCLUDED:
Pre-loaded with institutional activity data across popular tickers, updated daily to demonstrate how dark pool activity correlates with future price movements.
The script initially covers these tickers going back 6 months showing the top 10 trades by volume over 400,000 shares: AAPL, AMD, AMZN, ARKK, ARKW, BAC, BITO, COIN, COST, DIA, ETHA, GLD, GOOGL, HD, HYG, IBB, IWM, JNJ, JPM, LQD, MA, META, MSFT, NVDA, PG, QQQ, RIOT, SLV, SMCI, SMH, SOXX, SPY, TLT, TSLA, UNH, USO, V, VEA, VNQ, VOO, VTI, VWO, WMT, XLE, XLF, XLK, XLU, XLV, XLY
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
RS to BTC – EYASU V1RS to BTC – Full Suite
📝 Description:
This script tracks the relative strength of any coin against Bitcoin (RSBTC) in real-time. It is designed for altcoin traders who want to identify which coins are outperforming or underperforming BTC across multiple timeframes.
Features:
📈 RSBTC Line: Real-time plot of the altcoin’s price divided by BTC price
🟦 RSBTC Moving Average: Smooths the RS line to help identify trends
🔵 RSBTC RSI (Hidden by default): Highlights momentum of RS to detect overbought/oversold zones
🚨 Alerts: Set alerts for RSBTC crossing its moving average and RSI levels
Ideal for:
Spotting early altcoin breakouts
Timing entries/exits based on BTC-relative performance
Filtering for strong/weak coins before macro news
📱 Fully mobile compatible. Load it on any USDT chart — it auto-detects BTC and gives RS instantly.
Created by: @Eyasustock
License: Mozilla Public License 2.0
Option CalculatorOption Calculator – Comprehensive Feature Guide
The aiTrendview Option Calculator is a feature-rich options trading dashboard built using Pine Script, designed for real-time market interpretation and strategy selection. It integrates Black-Scholes-based pricing models with dynamic market inputs to help traders evaluate directional bias, volatility, risk, and potential profitability in a structured, intuitive format. The tool supports both beginner and experienced options traders in making data-driven decisions.
Core Inputs and Pricing Foundations
Users can input the strike price, days to expiration, implied volatility (IV), interest rate, and option type (call or put). These values feed directly into calculations for the option's theoretical price, Greeks, and expected move. For example:
• Strike Price helps define moneyness, impacting delta and risk/reward balance.
• Days to Expiry determines the speed of time decay (theta).
• Risk-Free Rate adjusts for time value and interest rate impact (rho).
• Implied Volatility affects premium pricing and vega exposure.
• Option Type sets the directional foundation for strategy analysis.
Live Market Data Integration
The script pulls current underlying price, price change, and volume comparison against a moving average (e.g., current volume vs. 20-day average). This helps identify unusual trading activity or volume spikes. Volatility readings are also incorporated using ATR or external volatility indexes to enhance the realism of IV assessments.
Greek Calculations
The dashboard provides visual and numerical values for all five major Greeks:
• Delta shows directional sensitivity and is plotted with a visual bar.
• Gamma represents the rate of delta change, especially critical near-the-money.
• Theta measures time decay and is most impactful in the final weeks before expiration.
• Vega tracks sensitivity to volatility shifts, crucial for premium-selling strategies.
• Rho reflects sensitivity to interest rates, primarily relevant in long-dated options.
Each Greek is calculated based on real-time inputs, providing a statistical framework for assessing risk and return.
Market Sentiment & Risk Environment
A sentiment scoring system interprets the put-call ratio (PCR), volume trends, and price momentum (e.g., RSI). IV levels are color-coded (e.g., low, medium, high) to identify whether options are relatively cheap or expensive. These values support better timing decisions and help identify whether to be a buyer or seller of premium.
Strategy Recommendation Engine
The script dynamically evaluates six core strategies based on current data:
1. Long Call
2. Short Put
3. Long Put
4. Bull Call Spread
5. Long Straddle
6. Iron Butterfly
Each strategy is assigned a confidence score (0–100%) and updated in real-time. This system is designed to match the appropriate strategy to market conditions such as trend, volatility, and time to expiration.
Risk-Adjusted Trading Insights
The dashboard helps traders evaluate whether to initiate trades, reduce exposure, or wait:
• High Confidence (80%+): Favorable environment; standard sizing recommended.
• Moderate Confidence (60–80%): Trade with caution and reduced risk.
• Low Confidence (<60%): Consider avoiding the trade or waiting for better setup.
It also supports risk mitigation through defined-risk strategies and provides guidance on stop-loss, profit targets, and time-based exits (e.g., managing options with <21 days to expiry).
Real-Time Monitoring
The script continuously tracks:
• Changes in Greeks as price, volatility, or time evolve.
• Profit probability estimates using expected move and breakeven pricing.
• Volume activity and IV rank to spot institutional behavior.
This empowers traders to manage trades proactively, adjust exposure, or lock in profits based on changing market conditions.
Practical Use Case Flow
Step 1: Input Setup
Enter option-specific parameters (strike, expiry days, IV, etc.) and let the dashboard auto-calculate risk metrics.
Step 2: Analyze Market
Use sentiment analysis, IV level, and volume data to understand the environment.
Step 3: Select Strategy
Rely on the confidence score and recommendation engine to choose a suitable options strategy.
Step 4: Manage Risk
Apply size rules based on signal strength, adjust based on exposure, and set alerts if needed.
Step 5: Monitor Outcomes
Track Greeks, probability, and progress metrics to stay informed throughout the trade.
Trading Environment Adaptation
• Low IV: Favor long premium strategies (e.g., long straddles, long calls).
• High IV: Favor premium selling strategies (e.g., iron condors, credit spreads).
• Bullish Markets: Focus on call-based trades or bullish spreads.
• Sideways Markets: Use neutral setups like iron butterflies or calendar spreads.
Position sizing and stop-loss logic are aligned with industry practices (e.g., risk no more than 2% per trade, take profit at 50%, and cut losses at double the premium received).
Dashboard Interpretation Guide
• Green: High confidence strategy, favourable IV, and strong volume confirmation.
• Yellow: Mixed signals or moderate conviction – proceed with caution.
• Red: Low confidence, poor conditions – better to wait for clearer opportunities.
Disclaimer from aiTrendview
This script is intended for educational and informational use only. It does not offer financial advice or trading signals, nor does it guarantee results. aiTrendview and its affiliates are not responsible for any financial loss or decision made using this tool. Options trading involves substantial risk and is not suitable for all investors. Past performance of any strategy or metric does not guarantee future results. Users are encouraged to consult with a certified financial advisor and conduct independent research before making trading decisions.
Fundur - Trend TraderFundur - Trend Trader: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Trader is a comprehensive dual-timeframe analysis indicator that combines fair value structure analysis, risk-reward calculations, and dynamic trend identification into one powerful trading tool. This indicator is designed to provide traders with precise entry and exit points while offering complete risk management insights.
What Makes Trend Trader Unique?
The Trend Trader goes beyond traditional pivot point indicators by introducing Fair Value Structure Analysis - a methodology that analyzes the relationship between two timeframes to determine market bias and optimal trading opportunities. Unlike static indicators, Trend Trader provides dynamic analysis that adapts to market conditions in real-time.
Core Methodology
The indicator operates on the principle that markets oscillate between Premium (overvalued) and Discount (undervalued) zones relative to fair value levels. By analyzing these zones across multiple timeframes, traders can identify high-probability trade setups with clearly defined risk-reward parameters.
Key Features
🎯 Dual-Timeframe Fair Value Analysis
Higher Timeframe Structure : Primary trend direction and major levels
Lower Timeframe Structure : Refined entry opportunities and micro-trend analysis
Dynamic Relationship : Real-time analysis of timeframe alignment
📊 Comprehensive Level System
Fair Value (FV) : Central equilibrium level for entries
Premium Levels (P1, P2, P3) : Sell zones with increasing distance from fair value
Discount Levels (D1, D2, D3) : Buy zones with increasing distance from fair value
🧠 Intelligent Trend Detection
Session-to-Session Analysis : Compares current vs previous session fair values
Trend Signals : Clear LONG/SHORT setup identification
Structure Bias : Bullish/Bearish fair value structure determination
⚖️ Advanced Risk-Reward System
Real-Time R:R Calculations : Dynamic risk-reward ratios for all levels
Leverage Recommendations : Optimal position sizing based on measured risk
Risk Percentage Display : Precise risk calculations for informed decisions
🎨 Smart Visual Features
Level Hit Tracking : Automatically darkens touched levels during session
Squeeze Detection : Identifies low-volatility periods with special bar coloring
Dynamic Highlighting : Price-responsive level emphasis
Zone Fills : Visual premium and discount area identification
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Trend Trader"
Add the indicator to your chart
Step 2: Basic Configuration
Timeframe Settings
Higher Timeframe : Default is Weekly (W), adjust based on your trading style:
Scalping : Use 4H for higher timeframe
Day Trading : Use Daily (D) for higher timeframe
Short-Term Swing Trading : Use Weekly (W) for higher timeframe
Long-Term Swing Trading : Use Monthly (M) for higher timeframe
Position Trading : Use Quarterly (3M) or Yearly (12M) for higher timeframe
History Bars :
Higher Timeframe: 10 bars (recommended)
Lower Timeframe: 50 bars (recommended)
Visual Settings
Line Widths : Adjust for visibility preference
Zone Fills : Enable for better visual zone identification
Bar Coloring : Enable structure and squeeze coloring
Step 3: Label Configuration
Essential Labels (Recommended Settings)
✅ Show All Labels: ON
✅ Show Trend Direction: ON
✅ Show Higher Timeframe Labels: ON
⚠️ Show Lower Timeframe Labels: OFF (avoid clutter initially)
✅ Show Price Values: ON
Label Style Options
Use Short Names : ON (P1, D2, FV instead of full names)
Combine Timeframe & Description : ON (creates compact labels like "W-FV")
Label Style : Choose between Modern or Classic
Step 4: Risk-Reward Setup
✅ Show Risk-Reward Analysis: ON
✅ Show Measured Risk Values: ON
✅ Apply Leverage to Calculations: ON
Leverage Multiplier : Start with 1.0, adjust based on your risk tolerance
Basic Trading Guide
Understanding Fair Value Structure
The indicator's foundation is the Fair Value Structure - the relationship between higher and lower timeframe fair value levels:
Bullish Structure (🔵)
Condition : Lower timeframe FV above higher timeframe FV
Bias : Look for LONG opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter long positions at Fair Value, take profits at Premium levels (P1, P2, P3)
Bearish Structure (🟠)
Condition : Lower timeframe FV below higher timeframe FV
Bias : Look for SHORT opportunities
Focus : Fair Value Structure for entries (continuation strategy)
Strategy : Enter short positions at Fair Value, take profits at Discount levels (D1, D2, D3)
Entry Strategies
Primary Strategy: Fair Value Continuation Entries
Setup : Price approaches fair value level with established structure bias
Entry : In Fair Value Structure (in between the lower timeframe and higher timeframe fair value)
Direction : Follow the structure bias (long in bullish structure, short in bearish structure)
Stop Loss: Two approaches available:
Advanced Method : Place stop shy of liquidation point to avoid liquidation
Hassle-Free Method : Previous high/low OR just beyond higher timeframe Fair Value
For Long Positions : Stop below higher timeframe Fair Value
For Short Positions : Stop above higher timeframe Fair Value
Profit Taking Strategy:
For Long Positions (Bullish Structure):
75% profits at Premium 1 (P1) - highest probability target
50% of remaining position at Premium 2 (P2)
Close entire position at Premium 3 (P3)
Move stop loss to break even after first profits
For Short Positions (Bearish Structure):
75% profits at Discount 1 (D1) - highest probability target
50% of remaining position at Discount 2 (D2)
Close entire position at Discount 3 (D3)
Move stop loss to break even after first profits
Alternative Strategy: Structure Transition Entries
Setup : Structure changes from bearish to bullish (or vice versa)
Entry : At new fair value level after structure confirmation
Risk Management : Tight stops during structure transition periods
Targets : Follow primary profit-taking methodology above
Risk Management Framework
Position Sizing Using Leverage Recommendations
The indicator calculates optimal leverage based on measured risk:
Conservative : Use 50% of recommended leverage
Moderate : Use 75% of recommended leverage
Aggressive : Use 100% of recommended leverage
Never exceed : 150% of recommended leverage
Stop Loss Placement
Follow the methodology outlined in the Primary Strategy section:
Advanced Method : Place stop shy of liquidation point to avoid forced liquidation
Hassle-Free Method : Use structural levels for clear invalidation
Long Positions : Stop below higher timeframe Fair Value
Short Positions : Stop above higher timeframe Fair Value
Alternative : Previous significant high/low levels
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Timeframe Settings:
Higher Timeframe: 4H (240)
Lower Timeframe: 1H (auto-calculated)
History: 5 bars for higher, 20 bars for lower
Visual Settings:
Enable all visual features for quick decision making
Use Classic label style for cleaner appearance
Enable squeeze coloring for volatility awareness
Trading Approach:
Focus on fair value continuation entries
Quick entries in fair value structure
Tight risk management using R:R table
Target P1/D1 levels for primary profits (75% position)
Setup 2: Day Trading Configuration (5-15 minute charts)
Timeframe Settings:
Higher Timeframe: Daily (D)
Lower Timeframe: 4H (auto-calculated)
History: 10 bars for higher, 30 bars for lower
Visual Settings:
Enable zone fills for clear premium/discount identification
Show both timeframe labels
Enable level hit tracking
Trading Approach:
Use structure bias for directional bias
Enter in fair value structure for continuation trades
75% profits at P1/D1, scale out to P2/D2, close at P3/D3
Hold positions across multiple sessions following structure
Setup 3: Short-Term Swing Trading Configuration (1-4 hour charts)
Timeframe Settings:
Higher Timeframe: Weekly (W)
Lower Timeframe: Daily (auto-calculated)
History: 15 bars for higher, 50 bars for lower
Visual Settings:
Emphasize higher timeframe levels
Show trend direction signals
Enable complete risk-reward analysis
Trading Approach:
Primary focus on higher timeframe structure
Patient entries in fair value structure
Follow standard profit-taking: 75% at P1/D1, scale to P3/D3
Use lower timeframe for refined fair value entries
Setup 4: Long-Term Swing Trading Configuration (4H charts)
Timeframe Settings:
Higher Timeframe: Monthly (M)
Lower Timeframe: Weekly (auto-calculated)
History: 20 bars for higher, 75 bars for lower
Visual Settings:
Clean label setup focusing on major levels
Enable trend direction for bias confirmation
Simplified visual approach for clarity
Trading Approach:
Monthly structure provides major trend direction
Entries in fair value structure
Hold positions for several weeks
Apply standard profit-taking methodology at premium/discount zones
Setup 5: Position Trading Configuration (Daily/Weekly charts)
Timeframe Settings:
Higher Timeframe: Quarterly (3M) or Yearly (12M)
Lower Timeframe: Monthly or Quarterly (auto-calculated)
History: 25 bars for higher, 100 bars for lower
Visual Settings:
Clean label setup focusing on key levels
Enable all alert systems
Simplified color scheme
Trading Approach:
Structure changes signal major macro trend shifts
Very patient entries in fair value structure confirmation
Long-term continuation trades targeting extended premium/discount levels
Hold positions for months to years following structure bias
Focus on major market cycles and long-term trend continuations
Setup 6: Multi-Asset Analysis Configuration
For Forex Pairs:
Adjust decimal precision for pip accuracy
Focus on daily/weekly structure
Use tight risk management due to leverage
For Crypto Assets:
Higher volatility requires wider stops
24/7 markets need continuous monitoring
Structure breaks often lead to extended moves
For Stock Indices:
Respect market hours for structure analysis
Economic events can override technical levels
Seasonal patterns affect structure behavior
Visual Components
Level Indicators
Solid Lines : Active levels based on current price position
Highlighted Levels : Levels within current price range
Darkened Levels : Previously touched levels during current session
Zone Fills
Red Zones : Premium areas (selling opportunities)
Green Zones : Discount areas (buying opportunities)
Cloud Fill : Area between dual timeframe fair values
Bar Coloring
Purple Bars : Squeeze conditions (low volatility)
Structure Colors : Based on price position relative to fair value levels
Labels and Information
Level Labels : Price values and targets for each level
Trend Signals : Clear LONG/SHORT setup indications
Risk-Reward Table : Comprehensive analysis panel
Risk Management
Built-in Risk Controls
Measured Risk System
The indicator automatically calculates risk percentages based on:
Distance from fair value to premium/discount levels
Current price position
Leverage settings applied
Optimal Leverage Calculations
Long Positions : Based on discount risk measurement
Short Positions : Based on premium risk measurement
Dynamic Adjustment : Changes with market conditions
Risk-Reward Ratios
Each level displays its R:R ratio considering:
Entry point (fair value or current price)
Target level
Stop loss level
Applied leverage
Recommended Risk Parameters
Conservative Trading
Maximum 1-2% risk per trade
Use 50% of recommended leverage
Target R:R ratios above 2:1
Focus on high-probability setups only
Moderate Trading
Maximum 2-3% risk per trade
Use 75% of recommended leverage
Accept R:R ratios above 1.5:1
Trade multiple setups with correlation awareness
Aggressive Trading
Maximum 3-5% risk per trade
Use up to 100% of recommended leverage
Accept R:R ratios above 1:1
Active management required
Alert System
Structure Alerts
Fair Value Structure Bullish : When structure turns bullish
Fair Value Structure Bearish : When structure turns bearish
Level Interaction Alerts
For each premium and discount level:
Touch Alerts : When price reaches the level
Cross Above : When price breaks above the level
Cross Below : When price breaks below the level
Range Alerts
Rising into FV : Price enters fair value range from below
Falling into FV : Price enters fair value range from above
Rising Above FV : Price breaks above fair value range
Falling Below FV : Price breaks below fair value range
Setting Up Alerts
Enable desired alert types in indicator settings
Create TradingView alerts using the indicator
Configure notification methods (email, SMS, app)
Test alerts with historical data first
Customization Options
Color Schemes
Fair Value Colors : Customize based on structure bias
Premium/Discount Colors : Match your chart theme
Dynamic Coloring : Automatically adjusts based on price position
Label Customization
Text Transparency : Adjust readability
Background Transparency : Control label prominence
Size Options : From tiny to large based on chart size
Position Options : Multiple screen positions available
Table Settings
Position : 9 different screen positions
Size : 4 size options for different screen resolutions
Transparency : Adjust for chart readability
Best Practices
Chart Setup Recommendations
Screen Real Estate Management
Use larger timeframes for cleaner appearance
Minimize lower timeframe labels on smaller screens
Position risk-reward table to avoid price action interference
Multi-Timeframe Analysis
Keep one chart with higher timeframe focus
Use secondary chart for lower timeframe entries
Synchronize timeframe selection across charts
Trading Psychology Integration
Patience with Structure
Wait for clear structure bias before trading
Avoid trading during structure transition periods
Respect the higher timeframe bias
Risk Management Discipline
Never ignore the calculated risk percentages
Use leverage recommendations as guidelines, not rules
Adjust position sizes based on market conditions
Entry Timing
Use lower timeframes for precise entries
Wait for price to reach significant levels
Confirm entries with additional confluence factors
Common Mistakes to Avoid
Over-Analysis
Don't wait for perfect setups that may never come
Focus on high-probability scenarios
Accept that not every level will hold
Ignoring Structure Bias
Don't fight the overall structure direction
Adjust strategies when structure changes
Respect multi-timeframe alignment
Poor Risk Management
Never risk more than the indicator suggests
Don't ignore stop loss levels
Avoid emotional position sizing
Advanced Techniques
Structure Transition Trading
Identify when structure is changing
Position for new bias direction
Use tight risk management during transitions
Level Confluence
Look for multiple level alignments
Combine with support/resistance
Use volume analysis for confirmation
Seasonal and Market Hour Awareness
Adjust for different market sessions
Consider seasonal patterns in structure
Account for economic calendar events
Conclusion
The Fundur - Trend Trader indicator represents a comprehensive approach to modern technical analysis, combining traditional pivot point methodology with advanced fair value structure analysis. By following the guidelines in this manual and adapting the settings to your trading style, you can harness the full power of this indicator for more informed and profitable trading decisions.
Remember that no indicator is perfect, and the Trend Trader should be used as part of a complete trading strategy that includes fundamental analysis, risk management, and proper psychology. Start with conservative settings and gradually increase sophistication as you become more familiar with the indicator's behavior in different market conditions.
For best results, practice with the indicator in demo accounts first, understand its behavior in various market conditions, and always prioritize risk management over profit potential.
Smoothed Increment MA RSI | MisinkoMasterThe Smoothed Increment MA RSI is my latest creation, being a versatile tool allowing traders and investors not only to catch reversals in Trend, but also catch high value and low value zones, working both as a Trend Following and Mean Reverting indicator for everyone's usage.
Use Cases:
1. Mean Reversion/Value Spotting:
This indicator, because of being based on the RSI, can catch high value and low value zones,
and if you experiment with conditions like:
Entry - values in the green zone
Exit - values in the red zone and downtrend
You will find very good trades:
2. Trend Reversals:
The main usage of this indicator, this is for what it has been intended, so it must excell at it!
When the line is green a reversal up is happening, when red, reversal down.
This indicator will provide you with fast reversals, no matter the asset - it will always do it's job.
Change the asset? No problem!
COINBASE:ETHUSD
But it also works on meme coins like CRYPTOCAP:DOGE
How it works?
The Smoothed Increment MA RSI works like so:
1. Calculate the RSI/Relative Strength Index, which will be the core of this all
2. Calculate the increment, this will be used by comparing the Moving Average, ATR/Average True Range and Volume values now to past values with different weights
3. Now it is time to check the RSI's ROC and apply the increment to it, making a much more volatile RSI
4. Now we just smooth the values using multiple Moving Averages over a smoothing period at base set to 6, but can be adjusted
5. Trend logic, this one depends on everyone, some may set it to crossing the value of 50, some may set it to something else, but for the purpose of this indicator I found the best working case to be just comparing if the value of the RSI has grown or decreased.
There will be also black dots with white borders plotted, this is for easier spotting of reversals.
This indicator also uses volume, so you have to check this on something with volume available.
I left all the settings available for changing, so you can adjust it to whatever you like and get the best out of this!
Moby Tick Prints - version 1.0.0Prints are aggregated by date and price. If there are multiple trades on the same day at the same price, they are added and represented in the Shares column
Stochastic MACDStochastic MACD Indicator: Quick Guide
This Pine Script indicator, "Stochastic MACD" (SMACD), blends MACD and Stochastic Oscillator principles to help you spot momentum shifts and potential reversals.
What it Shows:
SMACD Line: Tracks momentum.
Signal Line: Averages the SMACD line, creating crossovers.
Histogram: Visualizes momentum strength, changing color with direction.
Overbought/Oversold Levels: (Default 10 and -10) Help identify stretched market conditions. Adjustable in settings.
Visual Signals (Triangles):
Red Down Arrow (Overbought Signal): Appears when both SMACD and Signal lines are above the Overbought level (default 10) AND SMACD crosses the Signal line upwards. This suggests strong overbought conditions and a potential reversal down.
Green Up Arrow (Oversold Signal): Appears when both SMACD and Signal lines are below the Oversold level (default -10) AND SMACD crosses the Signal line upwards. This suggests potential buying opportunities from oversold conditions and a possible reversal up.
How to Use It:
Confirm Trends: Use the histogram and line directions.
Spot Reversals: Look for the red and green triangles for quick alerts.
Combine: Always use with other analysis like price action or support/resistance.
Important: This is an analytical tool, not financial advice. Trading involves risk.
Smooth Cloud + RSI Liquidity Spectrum + Zig Zag Volume ProfileSmooth Cloud + RSI Liquidity Spectrum + Zig Zag++ Volume Profile" Indicator
| Advanced Trend & Liquidity Analysis.
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📌 Key Features & Enhancements (Zig Zag++)
This advanced indicator combines **trend-following moving averages, RSI momentum with liquidity factors, and an improved Zig Zag++ algorithm with volume profiling** for precise swing detection.
🔹 Zig Zag++ Upgrades:
✅ **Dynamic Reversal Detection** – Adapts to volatility using percentage-based pivots.
✅ **Volume-Weighted Swing Points** – Highlights high-liquidity turning points.
✅ **Multi-Timeframe Confirmation** – Uses historical pivots for stronger signals.
✅ **Volume Profile Clustering** – Reveals key support/resistance zones based on traded volume.
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📊 Indicator Components Breakdown
1️⃣ Smooth Cloud (Trend Filter)
- **Fast MA (20-period) & Slow MA (50-period)** – Configurable as EMA, SMA, or WMA.
- **Cloud Coloring** – Green when fast MA > slow MA (bullish), red otherwise (bearish).
- **Purpose**: Acts as a trend filter—only take trades in the direction of the cloud.
2️⃣ RSI Liquidity Spectrum (Momentum + Volume)
- **RSI (14-period default)** – Standard momentum oscillator.
- **Liquidity-Adjusted Momentum** = `(RSI + ROC(RSI,3)) * (Volume / SMA(Volume, RSI Length))`
- **Purpose**: Identifies overbought/oversold conditions with volume confirmation (high volume = stronger signal).
3️⃣ Zig Zag++ (Swing Detection & Volume Profiling)
📈 Zig Zag Logic:**
- **Percentage-Based Reversals** (default: 5%) – Only plots swings exceeding this threshold.
- **Pivot Tracking** – Stores price & bar index of each swing point in arrays.
- **Dynamic Line Drawing** – Connects swing points with yellow trendlines.
📊 Volume Profile at Swings:
- **Lookback Period** (200 bars default) – Analyzes volume distribution between Zig Zag turns.
- **10-Price Bin Clustering** – Splits the price range into 10 levels and calculates traded volume at each.
- **Transparency Scaling** – Higher volume zones appear darker (stronger support/resistance).
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🎯 Step-by-Step Trading Strategies
📈 Strategy 1: Trend-Following with RSI Liquidity Confirmation**
1. **Enter Long** when:
- Smooth Cloud is **green** (fast MA > slow MA).
- RSI Liquidity Momentum crosses above **30** (bullish momentum + volume).
- Price pulls back to the **Volume Profile high-volume zone** (demand area).
2. **Enter Short** when:
- Smooth Cloud is **red** (fast MA < slow MA).
- RSI Liquidity Momentum crosses below **70** (bearish momentum + volume).
- Price rallies into the **Volume Profile high-volume zone** (supply area).
3. **Exit** when:
- Zig Zag++ detects a new reversal (5% move against position).
- RSI Liquidity Momentum crosses back mid-level (50).
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📉 Strategy 2: Swing Trading with Zig Zag++ Pivots**
1. **Buy at Swing Lows** when:
- Zig Zag++ prints a **higher low** (bullish structure).
- Volume Profile shows **strong absorption** (high volume at the low).
- RSI Liquidity Momentum is rising from oversold (<30).
2. **Sell at Swing Highs** when:
- Zig Zag++ prints a **lower high** (bearish structure).
- Volume Profile shows **distribution** (high volume at the top).
- RSI Liquidity Momentum is falling from overbought (>70).
3. **Stop Loss**:
- Below the recent Zig Zag low (for longs).
- Above the recent Zig Zag high (for shorts).
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📌 Additional Enhancements (Pro Tips)**
- **Combine with Higher Timeframe (HTF) Cloud** – Use a 4H/1D cloud to filter trades.
- **Divergence Detection** – Hidden bullish/bearish divergences between Zig Zag & RSI Liquidity.
- **Volume Spike Confirmation** – Only trade if volume exceeds SMA(volume, 20) at reversal points.
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🚀 Conclusion
This **all-in-one indicator** provides:
✔ **Trend direction** (Smooth Cloud)
✔ **Momentum + Liquidity strength** (RSI Spectrum)
✔ **Precise swing points** (Zig Zag++)
✔ **Volume-based S/R zones** (Profile Clustering)
Best used on **15M-4H timeframes** for swing/day trading. Adjust parameters based on asset volatility.
MTPI SUI | JeffreyTimmermansMedium-Term Trend Probability Indicator
The "Medium-Term Trend Probability Indicator" on SUI is a custom-designed tool created to analyze SUI from a medium-term perspective. While short-term indicators often respond to quick fluctuations and long-term models focus on broader macro cycles, the MTPI sits perfectly in between—detecting trend shifts over multiple weeks and helping traders and analysts stay ahead of the curve.
This specific version of the MTPI is applied to SUI, making it a dedicated trend-following tool for this unique digital asset, tuned to reflect its own volatility and structural behavior.
Key Features
Medium-Term Focus:
The MTPI is optimized for trend tracking over medium horizons—typically weeks to a few months. It filters out noise while remaining responsive to meaningful directional changes.
6 Input Signals:
The model combines 6 carefully selected input trend-following indicators, each targeting different dimensions of trend strength and continuation.
Market Regimes:
The MTPI classifies market conditions into:
Bullish → Strong upward momentum and trend confirmation
Bearish → Sustained downward pressure and breakdown signals
Neutral → Mixed signals or transition phases, often seen in consolidations or early reversals
Visual Background:
The chart background shifts based on the active regime. This provides instant visual clarity on whether the asset is trending, reversing, or consolidating.
Indicator Dashboard:
At the bottom of the chart, the MTPI includes a live dashboard showing:
The state of all 6 inputs (Bullish, Bearish, Neutral)
The composite MTPI Score
The resulting Market Trend classification
How It Works
Input Signal Logic:
Each input returns one of three possible scores:
+1 = Bullish
-1 = Bearish
0 = Neutral
Score Aggregation:
The MTPI Score is calculated as the average of all 6 input values:
Score > +0.1 → Bullish regime
Score < -0.1 → Bearish regime
Between -0.1 and +0.1 → Neutral regime
Background Coloring:
The background changes automatically to match the current trend regime, making it visually easy to interpret the dominant market environment.
Use Cases
Mid-Term Strategy Alignment:
Use the MTPI to align with the dominant medium-term market direction on SUI.
Rotation & Momentum Detection:
Catch early signs of reversals, breakout expansions, or trend exhaustion.
Multi-Timeframe Integration:
Combine MTPI with short-term tools (STPI) or long-term indicators (LTPI) for a complete market overview.
Dynamic Alerts:
Bullish Alert: MTPI Score crosses above +0.1
Bearish Alert: MTPI Score crosses below -0.1
Neutral Zone: MTPI Score enters between -0.1 and +0.1
Conclusion
The MTPI – SUI is a reliable medium-term probability model that simplifies complex market structure into an actionable, color-coded signal system. By distilling 6 intelligent inputs into one combined trend score, it offers clear directional bias and regime classification—crucial for positioning in a volatile asset like SUI. Whether used standalone or as part of a broader trend framework, this indicator enhances clarity, discipline, and precision in your medium-term trading decisions.
MTPI OTHERS.D | JeffreyTimmermansMedium-Term Trend Probability Indicator
The "Medium-Term Trend Probability Indicator" on OTHERS.D is a custom-built model designed to measure the medium-term trend strength of the entire crypto market excluding the Top 10 assets. By focusing on the performance of smaller-cap and emerging cryptocurrencies, this indicator offers a refined view of risk appetite and capital rotation beyond the major players like BTC, ETH, and other top coins.
OTHERS.D (Total Crypto Market Cap Dominance excluding the Top 10) serves as a proxy for altcoin speculation cycles, market breadth, and rotational momentum. The MTPI leverages this by applying 8 carefully selected trend-following indicators to generate a composite probability score that reflects the directional bias of the broader altcoin market.
Key Features
Mid-Term Trend Orientation:
The MTPI focuses on multi-week to multi-month trend phases, filtering out short-term volatility while responding faster than long-term macro models.
8 Input Signals:
Built using 8 trend-following indicators, each measuring trend strength, direction, and persistence within the "OTHERS" segment.
Market Regime Detection:
The MTPI identifies three distinct market states:
Bullish → Clear upward trend in the altcoin market (excluding top 10)
Bearish → Persistent downward movement or weakness in the broader altcoin segment
Neutral → Choppy or indecisive behavior
Background Coloring:
The background dynamically adapts based on the current regime, making it easy to visually identify dominant conditions.
Trend Dashboard:
A dashboard displays:
The current state of all 8 trend signals
The overall MTPI score
The interpreted market regime
How It Works
Trend Signal Evaluation:
Each of the 8 inputs outputs a discrete signal:
+1 → Bullish
-1 → Bearish
0 → Neutral
Composite Score Calculation:
The MTPI score is computed as the average of the 8 inputs:
Score > +0.1 → Bullish regime
Score < -0.1 → Bearish regime
Between -0.1 and +0.1 → Neutral regime
This produces a normalized score from -1 to +1, helping quantify trend confidence and detect early shifts in momentum.
Color-Coded Background:
The score automatically drives the background color:
Green tones for bullish phases
Red tones for bearish phases
Gray/orange tones for sideways conditions
Use Cases
Altcoin Rotation Tracking:
Use MTPI – OTHERS.D to monitor when capital is rotating into or out of smaller-cap cryptocurrencies — a key signal for risk-on or risk-off sentiment.
Medium-Term Positioning:
Perfect for swing traders or trend followers looking to align positions with the dominant trend in the non-top-10 market segment.
Multi-Timeframe Confirmation:
Combine MTPI with other tools like STPI (Short-Term) or LTPI (Long-Term) for enhanced decision-making and better timing across timeframes.
Dynamic Alerts:
Bullish Entry: MTPI score crosses above +0.1
Bearish Entry: MTPI score crosses below -0.1
Neutral Zone: MTPI score moves between -0.1 and +0.1
These alerts help you react quickly to regime shifts in the altcoin market outside the top 10.
Conclusion
The MTPI – OTHERS.D is a focused, probability-based trend tool built for analyzing the non-top-10 segment of the crypto market. By merging 8 independent trend signals into a single composite score and regime model, it provides a clear lens into where capital is flowing and how smaller-cap crypto assets are behaving. An essential tool for anyone active in altcoin trading, rotational strategies, or full-spectrum crypto market analysis.
Key Liquidity💧Advanced-Pro-J-Algo# 💧 Key Liquidity Advanced Pro - Multi-Timeframe Institutional Analysis
## 🏆 **Premium Institutional Trading Indicator**
Transform your trading with this comprehensive **multi-timeframe liquidity analysis tool** that combines **Smart Money Concepts (SMC)** and **ICT methodology** into one powerful indicator. Designed for serious traders who demand institutional-grade analysis.
---
## 🔥 **Key Features**
### 💧 **Multi-Timeframe Key Liquidity Levels**
- **HTF (Higher Timeframe)**: Major institutional levels with real-time alerts 🚨
- **LTF (Lower Timeframe)**: Precision entry/exit levels for optimal timing
- **CTF (Current Timeframe)**: Flexible analysis for any chart timeframe
- **Smart Mitigation Detection**: Automatically removes hit liquidity levels
- **Professional Labels**: Clean timeframe identification (4H, 1H, etc.)
### 🏦 **Institutional Order Blocks**
- **📦 Smart Money Order Blocks**: Identify where institutions placed large orders
- **Volume-Weighted Analysis**: Bullish/Bearish strength calculations
- **Professional Labels**: 🏦📦 H (High) and 🏦📦 L (Low) markers
- **Violation Detection**: Automatic cleanup when order blocks are broken
- **Overlap Prevention**: Clean chart presentation without clutter
### 🚨 **Advanced Alert System**
- **HTF Liquidity Hit Alerts**: Never miss major institutional level breaks
- **Detailed Notifications**: Timeframe, price, and timestamp information
- **Smart Frequency Control**: No spam - only meaningful alerts
- **Mobile Ready**: Perfect for Trading View mobile app notifications
### 📊 **Market Structure Analysis**
- **MSB (Market Structure Breaks)**: Current trend direction changes
- **Premium/Discount Zones**: ICT-style institutional price zones
- **Clean Presentation**: Only shows current MSB, removes historical clutter
### 🔄 **Trading Session Analysis**
- **Multi-Session Support**: Asian, London, New York sessions
- **Session Overlaps**: Highlighted with special bar coloring
- **Configurable Display**: Show 0-10 previous days of session data
- **High/Low Tracking**: Session-specific price levels
---
## 🎯 **Perfect For**
### **Trading Styles:**
- ✅ **Forex Trading** (ICT/SMC methodology)
- ✅ **Index Trading** (institutional analysis)
- ✅ **Crypto Trading** (smart money concepts)
- ✅ **Swing Trading** (HTF liquidity levels)
- ✅ **Scalping** (multi-timeframe precision)
### **Methodologies:**
- ✅ **Smart Money Concepts (SMC)**
- ✅ **Inner Circle Trader (ICT)**
- ✅ **Institutional Order Flow**
- ✅ **Liquidity Hunting Strategies**
- ✅ **Market Structure Trading**
---
## ⚙️ **Comprehensive Settings**
### **Master Controls:**
- 💧 Enable/Disable Key Liquidity Levels
- 🏦 Enable/Disable Order Blocks
- 📊 Enable/Disable Market Structure Breaks
- 🎯 Enable/Disable Premium/Discount Zones
- 🔄 Enable/Disable Trading Sessions
### **Customization Options:**
- **Timeframe Selection**: Choose your HTF and LTF periods
- **Color Schemes**: Professional color coding for each timeframe
- **Display Limits**: Control chart clutter with smart limits
- **Text Sizing**: Scalable labels for any screen size
- **Extension Options**: Short, Current, or Max line extensions
### **Alert Configuration:**
- 🚨 HTF High Liquidity Hit Alerts
- 🚨 HTF Low Liquidity Hit Alerts
- Smart frequency control to prevent spam
---
## 🎨 **Visual Excellence**
### **Professional Design:**
- **Clean Interface**: No chart clutter, only relevant information
- **Consistent Labeling**: All elements perfectly aligned and positioned
- **Smart Color Coding**: Visual hierarchy based on timeframe importance
- **Emoji Integration**: Instant visual recognition (💧🏦📦📊)
### **Label System:**
- **Liquidity Levels**: Timeframe labels (4H, 1H, etc.) with tooltips
- **Order Blocks**: 🏦📦 H/L institutional liquidity markers
- **Market Structure**: MSB break notifications
- **Sessions**: Clear session identification and overlaps
---
## 🔬 **Technical Implementation**
### **Performance Optimized:**
- Efficient memory management with `max_bars_back()` settings
- Smart array handling to prevent performance issues
- Clean object deletion to maintain chart responsiveness
### **Advanced Logic:**
- **Pivot Detection**: Sophisticated swing high/low identification
- **Mitigation Algorithms**: Smart detection of liquidity level hits
- **Volume Analysis**: Institutional strength calculations
- **Multi-Timeframe Security**: Proper HTL/LTF data handling
---
## 📈 **How to Use**
### **Setup:**
1. Add indicator to your chart
2. Configure your preferred HTF (default: 4H) and LTF (default: 1H)
3. Enable desired features via Master Controls
4. Set up TradingView alerts for HTF liquidity hits
### **Trading Workflow:**
1. **Identify Bias**: Use HTF liquidity levels for market direction
2. **Find Entries**: Use LTF levels and Order Blocks for precision entries
3. **Confirm Structure**: Check MSB for trend continuation/reversal
4. **Time Entries**: Use session analysis for optimal timing
5. **Get Alerted**: Never miss major HTF liquidity hits
---
## 🏅 **Why Choose This Indicator?**
### **Professional Grade:**
- Combines multiple premium concepts into one comprehensive tool
- Institutional-quality analysis typically found in expensive platforms
- Clean, professional presentation suitable for serious trading
### **Complete Solution:**
- No need for multiple indicators - everything in one package
- Covers all aspects of modern institutional trading methodology
- Suitable for beginners learning SMC/ICT and professionals alike
### **Constantly Updated:**
- Built with modern Pine Script v6
- Performance optimized for all timeframes
- Clean code structure for reliability
---
## 🚨 **Important Notes**
- **Timeframe Compatibility**: Works on all intraday timeframes (not suitable for daily/weekly/monthly)
- **Best Performance**: Recommended for 1m-4H chart timeframes
- **Alert Setup**: Configure TradingView alerts for mobile notifications
- **Education**: Best used with understanding of SMC/ICT concepts
---
## 📞 **Support & Updates**
This indicator represents months of development and testing, combining the best of institutional trading analysis into one comprehensive tool. Perfect for traders who demand professional-grade analysis and real-time alerting.
**🎯 Take your trading to the institutional level with Key Liquidity Advanced Pro!**
---
*Disclaimer: This indicator is for educational and informational purposes. Past performance does not guarantee future results. Always practice proper risk management.*
TRI - Quick Analysis"TRI - Quick Analysis" is a multi-indicator dashboard designed to give traders an immediate overview of market momentum, trend strength, volume flow, and volatility.
It visually summarizes key technical indicators in a compact table, including:
RSI (momentum)
MACD Histogram (trend momentum)
ADX + SuperTrend (trend strength & direction)
StochRSI (oversold/overbought)
CCI (price deviation)
CMF (volume flow)
MFI (volume-weighted momentum)
OBV (cumulative volume pressure)
ATR (volatility)
%B Bollinger (position within Bollinger Bands)
Each value is color-coded (green, red, blue) based on whether it's favorable, unfavorable, or neutral for a potential long position.
At the bottom of the table, a summary score dynamically aggregates signals from all indicators and provides a simple trading score.
This tool is designed for discretionary traders looking for a quick, color-coded insight into current market conditions without relying on a single signal.
Current Day High/Low and Mid- Made by IshaanThis TradingView indicator plots the current day's high, low, and mid (50%) levels, based on the daily timeframe, and displays them on any intraday chart (e.g., 15m, 1h, etc.).
Lines begin at the official market open time (default: 9:30 AM exchange time).
Lines extend right indefinitely so they’re visible throughout the day.
Values are updated live during the trading session using daily high and low data.
The mid line is calculated as the average of the current day’s high and low.
You can customize:
Line colors (high, low, mid)
Line thickness
Market open time
This tool is helpful for traders looking to monitor intraday interaction with key daily levels.
