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BB Squeeze + Volume Confirm (Boxed Zones, Rewired)What This Indicator Does (End-to-End, No Ambiguity) This indicator identifies when volatility is compressed, when it releases, and whether that release is real. It is not predictive. It is regime-based. ⸻ 1. It Detects a True Volatility Squeeze The indicator measures Bollinger Band width and compares it to its own recent history. When band width falls into the lowest percentile of the lookback window, volatility is objectively compressed. When that condition is met, the indicator draws a yellow box around price. That box persists as long as compression continues. Yellow box equals stored energy. ⸻ 2. It Visually Separates “Do Nothing” From “Act” While price remains inside a yellow box, the market is coiled. The indicator explicitly tells you not to trade. No direction is implied. No bias is assumed. No signal is generated. This prevents overtrading during chop. ⸻ 3. It Confirms Breakouts With Participation The indicator does not treat every band break as valid. A breakout is only recognized if: Price closes outside the Bollinger Band, and Volume expands materially versus its recent average. Only then does it print: SQ↑ for upside resolution SQ↓ for downside resolution These are confirmed volatility releases, not guesses. ⸻ 4. It Filters Noise With Optional ATR Gating You can optionally require ATR (average true range) to also be suppressed during the squeeze. This filters out false “tight” periods that occur during chaotic tape. When enabled, squeezes must be both structurally and behaviorally quiet. ⸻ 5. It Defines Market Regimes The indicator divides the chart into three regimes: Yellow box present: compression, preparation only Yellow box ends: transition SQ↑ or SQ↓ prints: expansion, execution phase This keeps strategy selection aligned with market conditions. ⸻ 6. It Prevents the Most Common Trading Error Most traders lose money by trading inside compression or fading confirmed expansion. This indicator blocks both behaviors by design. ⸻ Bottom Line This indicator answers one question only: “Is volatility being stored, or has it been released with commitment?” If volatility is being stored, you wait. If it has been released with volume, you act. That clarity is the entire point.
Penunjuk Pine Script®
oleh cdalili
Lipsius Pure Momentum (1m/5m/15m/1h)Description: Overview This script provides a complete, mechanical scalping strategy designed for 5m, 10m, and 15m timeframes. It combines trend filtering with momentum confirmation to identify high-probability entries while keeping you out of choppy markets. It features a Real-Time Dashboard that tells you the current market state at a glance: Bullish, Bearish, or Neutral. How it Works (The Logic) The strategy is built on three core pillars: EMA 200 (Trend): Determines the long-term direction. VWAP (Volume/Value): Acts as the dynamic "fair value" level. RSI (Momentum): Measures the strength of the move. Entry Rules LONG Signal (Green 'L'): Price must be ABOVE both the EMA 200 and the VWAP. RSI must be healthy (oversold enough to have room to grow). Trigger: RSI crosses above the 50-line. SHORT Signal (Red 'S'): Price must be BELOW both the EMA 200 and the VWAP. RSI must be healthy (not already oversold). Trigger: RSI crosses below the 50-line. NO TRADE (Neutral): If the price is trapped between the EMA and VWAP, the dashboard will show NEUTRAL. This is a chop zone—do not trade. Features Asset Class Switcher: Select "Crypto" (uses standard Volume VWAP) or "Forex" (uses a fallback calculation if volume data is missing) in the settings. Live Dashboard: Displays the status of the EMA, VWAP, RSI, and the final Trading Bias (Seek Long / Seek Short). Timeframe Monitor: The dashboard warns you (Orange color) if you are not on the recommended 5m, 10m, or 15m charts. Settings EMA Length: 200 (Default) RSI Length: 14 (Default) Asset Class: Toggle between Crypto and Forex.
Penunjuk Pine Script®
oleh michaellip0172
2
Apex Wallet - Opening Range Breakout (ORB) & Session LevelsOverview The Apex Wallet Opening Range Breakout (ORB) is a professional intraday tool designed to capture the volatility of the first minutes of the trading session. By defining a clear range at the market open, this indicator provides traders with high-probability breakout levels and psychological targets based on mathematical extensions of the initial move. Core Mechanics Customizable Session: Easily define your preferred opening range duration (e.g., first 5, 15, or 30 minutes) and session start time. Dynamic Timezone Adjustment: Includes a built-in UTC offset feature to ensure session times align perfectly with your local market, regardless of where you are trading from. Automated Level Tracking: The script automatically identifies and locks the high and low of the specified opening period. Key Features: Psychological Mid-Lines: Calculates the 50% median of the range (ORB Mid) as a pivot point for trend strength. Advanced Volatility Extensions: Plots internal and external targets (High+Mid, Low+Mid) to identify potential exhaustion zones or secondary breakout levels. Intraday Optimization: Designed specifically for low-timeframe traders (1m to 15m) looking for clear execution zones at the bell. How to use: Wait for the opening range to be established. A breakout above the ORB High often indicates bullish dominance, while a break below the ORB Low suggests bearish momentum. Use the internal extension lines as take-profit targets or areas to move your stop-loss to breakeven.
Penunjuk Pine Script®
oleh Apex-Wallet
Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Penunjuk Pine Script®
oleh neeson1987
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator Overview The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals. Integration Rationale & Component Synergy 1. Dual EMA Trend System + Stochastic RSI Convergence Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength. Synergy Mechanism: The dual EMA system (12/25 periods) identifies primary trend direction Stochastic RSI (14-period) provides overbought/oversold readings within that trend Trend signals are only confirmed when both systems align, reducing whipsaws EMA crossovers provide entry signals, while Stochastic RSI validates momentum 2. MA Filter Integration Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction. Synergy Mechanism: 200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark Long positions only triggered above 200-MA in bullish trends Short positions only triggered below 200-MA in bearish trends Provides multi-timeframe confirmation to intraday signals 3. Background Highlight System Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions. Synergy Mechanism: Background colors highlight Stochastic RSI events without cluttering price chart Different colors for different signal types (middle cross, overbought/oversold, level breaks) Works in parallel with other systems, providing additional context without interference Component Functions & Operational Principles Core Components: Dual EMA System Fast EMA (12): Quick trend changes Slow EMA (25): Confirmed trend direction Mode: Switchable between dual EMA display and single EMA Signal generation based on EMA positioning and consecutive bars Stochastic RSI System Combines RSI momentum with stochastic oscillator principles Triple-smoothed (RSI → Stochastic → K/D smoothing) Predefined levels: 80 (overbought), 50 (middle), 20 (oversold) Multiple cross types for different market conditions Signal Generation Logic Consecutive count mechanism for trend persistence "B" signals: Initial bullish EMA alignment "S" signals: Initial bearish EMA alignment Candlestick coloring for visual trend representation Alert Systems EMA cross alerts for major trend changes Stochastic RSI cross alerts for momentum shifts Separate alerts for different signal categories Practical Usage Guidelines For Trend Traders: Primary Trend Identification: Use EMA positioning relative to 200-MA Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment Trend Continuation: Monitor consecutive bar counts and candlestick colors Exit Signals: Watch for opposing signals or Stochastic RSI divergence For Range/Swing Traders: Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80) Middle Crosses: Stochastic RSI crosses around 50 level EMA Filter: Use 200-MA as support/resistance reference Customization Options: Adjust EMA periods for different trading styles Modify Stochastic RSI parameters for sensitivity Enable/disable background highlights based on preference Select MA type and period for trend filtering Originality & Unique Features Distinctive Integration: Consecutive Count System: Tracks trend persistence beyond simple crossovers Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights Flexible EMA Modes: Switch between dual and single EMA displays Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation Practical Design Choices: Color Scheme: Blue for bullish, orange for bearish (clear differentiation) Signal Prioritization: Initial signals marked with letters, trends with colors Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter) Clean Visualization: Information-rich display without chart clutter Important Disclaimers & Limitations Realistic Expectations: This indicator provides signals, not guarantees All technical indicators have inherent lag Market conditions change; no system works perfectly in all environments Cryptocurrency markets exhibit high volatility and unpredictable behavior Proper Usage: Never rely solely on one indicator for trading decisions Always use appropriate risk management and position sizing Consider fundamental factors and market context Test thoroughly on historical data before live implementation Adjust parameters to match specific cryptocurrency pairs and timeframes Development Philosophy This indicator was developed with these principles: Evidence-Based: Components based on widely researched technical concepts Practical Focus: Designed for actual trading use, not theoretical perfection User-Centric: Customizable to individual preferences and trading styles Transparent: Clear logic without "black box" calculations Final Recommendations For optimal results: Start with default parameters on major cryptocurrency pairs (BTC, ETH) Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles Use higher timeframes (4H, Daily) for primary trend analysis Combine with volume analysis and market structure for confirmation Regularly review and adjust settings as market conditions evolve The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Penunjuk Pine Script®
oleh neeson1987
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation Overview and Philosophical Foundation The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation. The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align. Integration Rationale and Component Synergy 1. Trend Analysis Layer (Dual Moving Average System) Components: SMA-50 and SMA-200 Purpose: Establish primary market direction and filter against counter-trend signals Integration Rationale: SMA-50 provides medium-term trend direction SMA-200 establishes long-term trend context The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals 2. Momentum Analysis Layer (MACD) Components: MACD line, signal line, histogram Purpose: Detect changes in market momentum and identify potential trend reversals Integration Rationale: MACD crossovers provide timely momentum shift signals Histogram analysis confirms momentum acceleration/deceleration This layer acts as the primary trigger mechanism, initiating the signal evaluation process The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation 3. Overbought/Oversold Analysis Layer (RSI) Components: RSI with adjustable threshold levels Purpose: Identify potential reversal zones and market extremes Integration Rationale: RSI provides mean-reversion context to momentum signals Extreme readings (oversold/overbought) indicate potential exhaustion points This layer prevents entry at statistically unfavorable price levels The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework 4. Market Participation Layer (Volume Analysis) Components: Volume surge detection relative to moving average Purpose: Validate price movements with corresponding volume activity Integration Rationale: Volume confirms the significance of price movements Volume surge detection identifies institutional or significant market participation This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements Synergistic Operation Mechanism The script operates through a sequential validation process: Stage 1: Signal Initiation Triggered by either MACD crossover or RSI entering extreme zones This initial trigger has high sensitivity but low specificity Multiple trigger mechanisms ensure the system remains responsive to different market conditions Stage 2: Trend Context Validation Price must be positioned correctly relative to both SMA-50 and SMA-200 For buy signals: Price > SMA-50 > SMA-200 (bullish alignment) For sell signals: Price < SMA-50 < SMA-200 (bearish alignment) This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline Stage 3: Volume Confirmation Must demonstrate above-average volume participation (configurable multiplier) Volume surge provides statistical confidence in the price movement This layer addresses the "participation gap" where price moves without corresponding volume Stage 4: Signal Quality Assessment Each condition contributes to a quality score (0-100) Higher scores indicate stronger multi-dimensional alignment Quality rating helps users differentiate between marginal and high-conviction signals Original Control Mechanisms 1. Signal Cooldown System Purpose: Prevent signal overload and encourage trading discipline Mechanism: After any signal generation, the system enters a user-defined cooldown period During this period, no new signals of the same type are generated This reduces emotional trading decisions and filters out clustered, lower-quality signals Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour) 2. Visual State Tracking Purpose: Provide intuitive market phase identification Mechanism: After a buy signal: Subsequent candles are tinted light blue After a sell signal: Subsequent candles are tinted light orange This creates a visual "holding period" reference Users can quickly identify which system state is active and for how long Practical Implementation Guidelines Parameter Configuration Strategy Timeframe Adaptation: Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods Market Regime Adjustment: Trending markets: Emphasize trend alignment and MACD components Range-bound markets: Increase RSI sensitivity and enable volatility filtering Signal Level Selection: Level 1: Suitable for active traders in high-liquidity markets Level 2: Balanced approach for most market conditions Level 3: Conservative setting for high-probability setups only Risk Management Integration Use quality scores as position sizing guides Higher quality signals (Q≥80) warrant standard position sizes Medium quality signals (60≤Q<80) suggest reduced position sizing Lower quality signals (Q<60) recommend caution or avoidance Empirical Limitations and Considerations Statistical Constraints No trading system guarantees profitability Historical performance does not predict future results System effectiveness varies by market conditions and timeframes Maximum historical win rates in backtesting range from 55-65% in optimal conditions Market Regime Dependencies Strong Trending Markets: System performs best with clear directional movement High Volatility/Ranging Markets: Increased false signal probability Low Volume Conditions: Volume confirmation becomes less reliable User Implementation Requirements Time Commitment: Regular monitoring and parameter adjustment Market Understanding: Basic knowledge of technical analysis principles Discipline: Adherence to signal rules and risk management protocols Technical Validation Framework Backtesting Methodology Multi-timeframe analysis across different market conditions Parameter optimization through walk-forward analysis Out-of-sample validation to prevent curve fitting Performance Metrics Tracked Win rate percentage across different signal qualities Average win/loss ratio per signal category Maximum consecutive wins/losses Risk-adjusted return metrics Innovative Contributions Multi-Dimensional Scoring System Original quality scoring algorithm weighting each dimension appropriately Dynamic adjustment based on market conditions Visual representation through signal labels and information panel Integrated Information Dashboard Real-time display of all system dimensions Color-coded status indicators for quick assessment Historical context for current signal generation Adaptive Filtering Mechanism Configurable strictness levels without code modification User-adjustable sensitivity across all dimensions Preset configurations for different trading styles Conclusion and Appropriate Usage The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as: A Framework for Analysis: Rather than a black-box trading system A Decision Support Tool: To be combined with fundamental analysis and market context A Learning Instrument: For understanding how different analytical dimensions interact The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself. Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Penunjuk Pine Script®
oleh neeson1987
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy) 1. Core Concept (The Philosophy) This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price." In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend." 2. Technical Components The indicator consists of two main engines working in harmony: First: The Trend Filter (Supertrend): Settings: (ATR 20 / Factor 6.0). Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift. Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed. Second: The Sniper (Bollinger Bands): Settings: (Length 20 / StdDev 2.0). Function: Identifies temporary Overbought and Oversold zones within the trend. Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling. 3. Signal Logic (How it Works) The indicator scans the market for specific, high-probability conditions: A. Buy Signal (Green Triangle): Appears only when both conditions are met: Trend is Bullish: Supertrend is Green. Price is "Cheap": Price drops to touch or break the Lower Bollinger Band. Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity. B. Sell Signal (Red Triangle): Appears only when both conditions are met: Trend is Bearish: Supertrend is Red. Price is "Expensive": Price rises to touch or break the Upper Bollinger Band. Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity. 4. User Guide (How to Trade It) To achieve the best results, consider the following approach when a signal appears: A. Entry: Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation). B. Stop Loss (SL): Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid). Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low. C. Take Profit (TP): Target 1: The Bollinger Bands Middle Line (Basis/SMA 20). Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals). 5. Key Strengths & Limitations Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you. Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep. Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement. Summary for the Trader: This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike." اسم المؤشر: SuperBands (Smart Pullback Strategy) 1. الفكرة الأساسية (الفلسفة وراء المؤشر) هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price). باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط". 2. المكونات التقنية يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد: أولاً: الحارس (Supertrend): الإعدادات: (ATR 20 / Factor 6.0). الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة. القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط. ثانياً: القناص (Bollinger Bands): الإعدادات: (Length 20 / StdDev 2.0). الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه. القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع. 3. كيف تتكون الإشارة (آلية العمل) يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة: A. إشارة الشراء (المثلث الأخضر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه صاعد: السوبر تريند لونه أخضر. سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band). المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل. B. إشارة البيع (المثلث الأحمر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه هابط: السوبر تريند لونه أحمر. سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band). المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع. 4. كيفية الاستفادة منه (دليل المستخدم) لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة: أ. نقاط الدخول (Entry): ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة). ب. وقف الخسارة (Stop Loss): الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير). الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low). ج. جني الأرباح (Take Profit): الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20). الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع). 5. مميزات وعيوب يجب الانتباه لها الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح. نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets). نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة. ملخص للمتداول: هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
Penunjuk Pine Script®
oleh abdelhadi-salah
Crypto Precision Signals "Crypto Precision Signals - Reliable" Script Comprehensive Documentation This document aims to clearly and objectively explain the functional principles, design logic, and usage methods of the "Crypto Precision Signals - Reliable" Pine Script. We adhere to principles of transparency and pragmatism. All descriptions are based on publicly available technical analysis theories, and we make no promises regarding any definitive profit performance. Final trading decisions should be made independently by the user based on comprehensive market analysis. I. Core Design Philosophy and Originality The originality of this script lies not in creating new analytical indicators, but in constructing a decision-making framework based on multi-dimensional condition confluence and systematic risk control. Its core philosophy is: a signal from a single indicator has limited reliability, whereas signals from different analytical dimensions (trend, momentum, overbought/oversold levels, market participation) can, when converging under specific rules, potentially identify higher-probability trading environments. Furthermore, the script encourages more disciplined trading through mandatory cooldown mechanisms and visual state tracking. II. Detailed Explanation of Integration Rationale and Synergistic Operation Mechanism The script integrates four classic technical elements, and their selection and combination have clear logical justification: 1. Trend & Momentum Foundation Layer: MACD Integration Rationale: MACD is a classic tool for identifying trend direction, momentum strength, and potential turning points. The crossover of its fast and slow lines is an intuitive representation of momentum change, providing the initial "action signal" for the system. Synergistic Mechanism: In this script, a MACD golden cross or death cross is one of the primary conditions for triggering a potential buy or sell signal. It acts as the system's "engine," responsible for identifying the initiation of market momentum. 2. Overbought/Oversold & Auxiliary Trigger Layer: RSI Integration Rationale: RSI measures the speed and magnitude of price changes to gauge overbought or oversold market conditions. It complements the trend-following MACD by providing reference points for market sentiment extremes. Synergistic Mechanism: The script innovatively sets RSI extremes (<30 oversold, >70 overbought) as trigger conditions parallel to MACD crossovers. This means the system can capture not only trend initiation points but also potential reversal opportunities from extreme sentiment (e.g., a buy point after a pullback to key support within an uptrend due to short-term oversold conditions). MACD and RSI together form a dual-trigger engine of "trend momentum" and "market sentiment." 3. Trend Filter Layer: 50-Period Simple Moving Average (SMA) Integration Rationale: "Trading with the trend" is a core tenet of technical analysis. The SMA-50 is widely used as a benchmark for medium-term trends. Synergistic Mechanism: This layer acts as a strict "direction filter." All potential signals generated by MACD or RSI must pass the SMA-50 test: Buy Signal: The current price must be above the SMA-50, ensuring the trade attempt aligns with the potential medium-term uptrend. Sell Signal: The current price must be below the SMA-50, ensuring the trade attempt aligns with the potential medium-term downtrend. This mechanism effectively filters out numerous counter-trend, high-risk reversal attempts, focusing the system on "trading with the major trend" opportunities. 4. Volume Confirmation Layer: Dynamic Volume Average Integration Rationale: Volume is key to gauging market participation and the authenticity of price movements. Price breakouts or signals lacking volume support are often weak. Synergistic Mechanism: This is the key validation layer of the script. The system calculates a 30-period average volume and allows users to set a multiplier (default 2.0). A signal is only finally confirmed when the trigger condition (from MACD or RSI) occurs simultaneously with the current bar's volume being significantly higher than the recent average (i.e., a "volume spike"). This validation ensures the signal is supported by broad market participation, aiming to increase the signal's credibility and reduce "false breakouts" or whipsaws caused by low liquidity. Synergistic Operation Summary: The script operates like a multi-stage screening funnel: Signal Trigger: Initiated by a MACD crossover or RSI entering an extreme zone. Preliminary Trend Screening: The price location of the trigger signal must pass the SMA-50 trend filter (buy above, sell below). Energy Validation: Concurrently with the above conditions, a volume spike must provide confirmation. Final Output: Only when all conditions are met simultaneously is a visual "BUY" or "SELL" label generated. III. Control & Auxiliary Layers: Enhancing Disciplined Use Beyond the signal generation logic, the script includes two original designs to enhance practicality: Signal Frequency Controller (Cooldown Period): Mechanism: After generating a valid signal, the system enters a user-adjustable "cooldown period" (default 5 bars). No new signals of the same type will be generated during this period. Purpose: Forces a reduction in trading frequency, prevents signal overload during high volatility or ranging markets, encourages waiting for higher-quality, more spaced-out opportunities, and helps avoid emotional overtrading. Visual State Tracker (Bar Coloring): Mechanism: The system internally tracks the state of the last valid signal (buy or sell). After a buy signal, subsequent bars are tinted light blue; after a sell signal, subsequent bars are tinted light orange, until the next opposing signal appears. Purpose: Provides the user with an intuitive visual reference for the "signal validity period" or "observation phase," helping to quickly identify which stage the market is in according to the system's logic and assisting in gauging market rhythm. IV. Functional Purpose and Usage Method Core Purpose: Serves as an auxiliary decision-making tool for swing trading or trend-pullback entries, suitable for timeframes of 1 hour and above. It filters for potential trade nodes that combine trend alignment, momentum, sentiment, and capital interest through multi-condition confluence. Usage Process: Loading: Add the script to a TradingView chart. Observation: Watch for "BUY/SELL" labels confirmed by a "volume spike" and aligned with the trend direction. Analysis: Never treat signals as direct trading orders. Always analyze the signal within the broader market context: Check if the signal occurs near key support or resistance levels. Observe the candlestick patterns (e.g., Pin Bar, Engulfing patterns) on the signal bar and its vicinity. Assess the overall market structure on higher timeframes. Decision & Risk Control: Only consider using the signal as an entry reference if it aligns with conclusions from your other analysis tools. Any trade must have a clearly defined stop-loss level set in advance and proper position sizing/risk management. V. Important Disclaimer This script is a technical analysis辅助 tool. Its signals are calculated based on historical data and mathematical formulas. Financial markets carry inherent risks, and past performance is in no way indicative of future results. Users must understand that all trading decisions carry the possibility of loss. The developer assumes no responsibility for any trading activities conducted by users based on this script or their outcomes. Please use it prudently under a full understanding of its logic and associated risks.
Penunjuk Pine Script®
oleh neeson1987
MarketStructureLab Structure Zones (FREE) This indicator highlights key structural zones where the market is most likely to: • continue the current move • pause, consolidate, or transition into a range There are no buy/sell signals, arrows, or predictions. Only structure, context, and reaction areas. How it works • Detects confirmed swing highs and lows using pivot logic • Filters insignificant moves with an ATR-based threshold • Builds structure zones (ranges, not lines) around key levels • Displays only the active working window around the current price • Shows a simple Market State: Trend / Range / Transition No repaint tricks. No future leaks. Pure price structure. How to use Use the zones as context, not signals: • observe reactions and acceptance • combine with your own entry model (price action, volume, trend filter) • works on any market and any timeframe This tool is designed for traders who prefer clarity over complexity. This is a FREE MVP version. More advanced structure logic and tools will be released in future versions. Not financial advice. market structure, structure zones, support resistance, supply demand, swing, pivot, price action, range, trend, ATR
Penunjuk Pine Script®
oleh MarketStructureLab
1
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. 🔑 Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
UFX PRO How it works The indicator plots a single line on the chart that changes position and color depending on the trend: 🟢 Uptrend: The SuperTrend line is below the price → bullish bias 🔴 Downtrend: The SuperTrend line is above the price → bearish bias When the price crosses the SuperTrend line, it often signals a potential trend reversal. ✅ Advantages ✔ Easy to read ✔ Works well in trending markets ✔ Adaptive to volatility ✔ Useful for stops and trend confirmation
Penunjuk Pine Script®
oleh UFXAlgo
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed. THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center. THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029. HOW TO READ THE CHART • The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion. • The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature. • The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029. WHY THIS IS "FRESH" Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant. This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action. TAGS bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
Penunjuk Pine Script®
oleh Rob_Maths
RSI Buy Sell Signals (Fixed) TSMRSI Buy–Sell Signals Indicator is a simple and effective momentum-based tool designed for scalping and intraday trading. It uses the Relative Strength Index (RSI) to identify high-probability BUY and SELL opportunities directly on the price chart. 🔹 How It Works BUY Signal Triggers when RSI crosses above 30 (oversold recovery) or above 50 (bullish momentum). SELL Signal Triggers when RSI crosses below 70 (overbought reversal) or below 50 (bearish momentum). Signals are non-repainting and appear at candle close.
Penunjuk Pine Script®
oleh SARAVANANTamilShareMarket