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Attempted candles - customizable lines and infoboxAttented candles are candles that collect their liquidity above or below the previous candle and then run in the opposite direction: Short trade Candle gets liquidity above the previous candle and then ends up as a red candle Long Trade Candle picks up liquidity below the previous candle and then ends up as a green candle The following information lines and info box are calculated as follows: Short trade 2 pips above the high of the candle creates the red SL line Entry is at the close of the candle Distance between SL and entry is Risk 1 The TP line is then created below the close of the candle at the distance of the CRV Long Trade 2 pips below the low of the candle creates the red SL line Entry is at the close of the candle Distance between SL and entry is Risk 1 The TP line is then created above the close of the candle at the distance of the CRV In order to keep track of several lines, the SL, Entry and TP lines are connected with a common vertical line. The following is adjustable: Length of information lines Width of information lines Width of the fiber Connecting line on/off, color and opacity Pip value (default 0.0001) Distance of SL line in pips CRV (Standard 3) Distance of the info box for long trades from the SL Distance of the info box for shorttrades from the SL Minimum Distance of the info box (default 3) Display of TP, Entry, SL on/off Font size of the info box The information on TP, Entry and SL are pure suggestions.
อินดิเคเตอร์ Pine Script®
โดย veith-trading
Trader HQ - Multi Time Frame EMA📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes. This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment. By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure. 🔧 Key Features ✅ Up to 3 independent 200 EMAs ✅ Individual timeframe selection per EMA ✅ Clean overlay on any chart ✅ Adjustable display per line ✅ Real-time multi-timeframe calculations ✅ Works on all markets and sessions 🎯 How to Use This indicator is designed as a primary trend filter. Example configuration: • EMA 1 → Lower timeframe (Execution) • EMA 2 → Medium timeframe (Momentum) • EMA 3 → Higher timeframe (Structure) Bullish Bias Example Price above all 200 EMAs Lower EMA above higher EMA Pullbacks hold above structure Bearish Bias Example Price below all 200 EMAs Lower EMA below higher EMA Rejections at structure When EMAs are aligned, trend probability increases. 📊 Best Use Cases ✔ Futures Trading ✔ Options & Equity Trading ✔ Forex & Crypto ✔ Prop Firm Evaluations ✔ Trend-Following Systems ✔ Momentum Strategies ⚠️ Risk Disclaimer This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy. 🛠 Technical Details • Pine Script Version: v6 • Uses native TradingView security() for MTF accuracy • Optimized for low-latency execution
อินดิเคเตอร์ Pine Script®
โดย Marketscope
Trader HQ - Multi Time Frame EMA🔷 Indicator Title MTF 200 EMA Pro — Triple Timeframe Trend Filter 🔷 Short Description (Tagline) A professional multi-timeframe 200 EMA framework that overlays up to three higher and lower timeframe trend filters on a single chart for superior market alignment and trade confirmation. 🔷 Full Description (Paste This in TradingView) 📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes. This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment. By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure. 🔧 Key Features ✅ Up to 3 independent 200 EMAs ✅ Individual timeframe selection per EMA ✅ Clean overlay on any chart ✅ Adjustable display per line ✅ Real-time multi-timeframe calculations ✅ Works on all markets and sessions 🎯 How to Use This indicator is designed as a primary trend filter. Example configuration: • EMA 1 → Lower timeframe (Execution) • EMA 2 → Medium timeframe (Momentum) • EMA 3 → Higher timeframe (Structure) Bullish Bias Example Price above all 200 EMAs Lower EMA above higher EMA Pullbacks hold above structure Bearish Bias Example Price below all 200 EMAs Lower EMA below higher EMA Rejections at structure When EMAs are aligned, trend probability increases. 📊 Best Use Cases ✔ Futures Trading ✔ Options & Equity Trading ✔ Forex & Crypto ✔ Prop Firm Evaluations ✔ Trend-Following Systems ✔ Momentum Strategies ⚠️ Risk Disclaimer This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy.
อินดิเคเตอร์ Pine Script®
โดย Marketscope
Quick Glance Trading NavigatorQuick Glance Trading Navigator is an all-in-one market dashboard that analyzes trend, structure, momentum, volume, and multi-timeframe conditions in real time. It converts complex data into simple table signals so traders can quickly see if the market is trending, ranging, or ready for a trade. What this indicator does It identifies market state (trend or consolidation), detects breakout, pullback, and liquidity sweep conditions, tracks multiple moving averages, monitors MACD and RSI momentum, shows volume and volume delta, and confirms higher timeframe bias. All signals are summarized in a single table for fast decision-making. Main features • Market state detection: Trend Up, Trend Down, or Cooking (range) • Entry type detection: Breakout, Breakdown, Pullback, Liquidity Sweep, or Wait • Moving average lanes: MA 6, 21, 50, 200 with tri-state logic(cutomizable) • MACD direction and MACD Tick (early momentum shift) • RSI divergence and multi-timeframe RSI values • Candle pattern detection: Doji, Bullish Engulfing, Bearish Engulfing • Multi-timeframe Doji scanner (5m to Daily) • Volume trend and Volume Delta • ICT logic (inside or outside previous candle range, wick or body based) • Support and resistance location (Support, Resistance, Mid) • Break of Structure (BOS) detection • Higher timeframe market bias (H1) and lower timeframe bias (M5) • Live BTC price with direction arrow • Non-repaint option for higher timeframe data • Final trade summary: LONG OK, SHORT OK, WAIT, or NO TRADE How to use 1. Check the Market State first. Trade only when the market shows TREND ▲ or TREND ▼. 2. Look at Entry Type. Focus on Breakout or Pullback signals. Avoid trading when it shows WAIT. 3. Confirm with MACD and MACD Tick. Direction should match the trend. 4. Check Price Location. Longs near support and shorts near resistance are preferred. 5. Use RSI Divergence and Candle signals as confirmation. 6. Follow the Summary row. • LONG OK = bullish conditions aligned • SHORT OK = bearish conditions aligned • WAIT = conditions not confirmed • NO TRADE = avoid trading Recommended settings Enable Non-Repaint Mode. Keep Auto Trend Strength by TF enabled. Use default MA and RSI timeframes for best performance. This indicator is designed as a trading navigator, not a signal spam tool. It helps you read market structure, bias, and timing before entering trades.
อินดิเคเตอร์ Pine Script®
โดย Lockedeye
Quantway Domestic Stock Analyzer v1This indicator analyzes Korean domestic stocks based and provides swing trading decision support. Main Features: - Bottom formation detection after downtrend - 1st / 2nd / 3rd entry timing signals based on current price - Automatic 3% ~ 5% take-profit target lines - Supply/Demand zone detection using price range box and volume accumulation - Summary table showing trade suitability score in the top-right corner How It Works: 1. Detects pivot lows after a downtrend 2. Confirms bottom using EMA20 crossover and RSI condition 3. Calculates multi-stage entry opportunities 4. Displays dynamic take-profit zones based on current price 5. Highlights consolidation zones with volume confirmation This script is designed for educational and analytical purposes only. All trading decisions are the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย QuantWayLabs
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.
อินดิเคเตอร์ Pine Script®
โดย michaellip0172
2
NQ Magic Hour Pro# NQ Magic Hour Pro ## ⚠️ NQ FUTURES ONLY - NOT FOR OTHER INSTRUMENTS **This indicator is specifically designed and calibrated for NQ (E-mini Nasdaq-100) futures only.** The probability statistics are hardcoded from a 6-year NQ-specific backtest (2020-2025, 1,546 sessions). **Do NOT use this indicator on ES, MES, YM, RTY, or any other instruments** - the probabilities will not be accurate and may lead to incorrect trading decisions. --- ## Overview NQ Magic Hour Pro is a probability-based mean reversion trading indicator built exclusively on NQ futures backtest data. The indicator identifies high-probability reversion setups based on pre-market range analysis during the "Magic Hour" (7:00-8:00 AM ET). **Core Concept:** - Captures 7:00-8:00 AM ET pre-market range (high/low/midpoint) - Classifies range size: Below Average (<0.24%) vs Above Average (>0.24%) - Projects extension levels (25%, 50%, 75%, 100%) with NQ-specific historical reversion probabilities - Identifies optimal trading windows based on time-based edge decay **NQ-Specific Probability Framework:** - **Golden Window (8:00-9:00 AM):** 79-85% reversion probability (below-avg ranges) - **Medium Window (9:00-10:00 AM):** 56-73% probability - **Dead Zone (10:00+ AM):** 21-35% probability (avoid trading) *These probabilities are derived from NQ futures data only and may not apply to other instruments.* ## Key Features ✅ **Visual Levels:** Displays magic hour range with color-coded extension levels - Green (Lime): High probability (79-85%) - Orange: Medium probability (52-73%) - Red: Low probability (<52%) ✅ **Real-Time Dashboard:** Shows current range classification, time window, reversion probabilities, and tier classification (based on NQ data) ✅ **Time-Based Alerts:** Warns when entering Dead Zone (edge decay) ✅ **Fully Customizable Display:** - Adjustable colors for all lines and boxes - Label text size options (Tiny/Small/Normal/Large) - Toggle visibility for any component ✅ **Session History:** Optional keeping of last 10 sessions for pattern recognition ✅ **Performance Optimized:** Smart object reuse system prevents hitting TradingView limits ## Settings Overview **Session Settings:** - Timezone (default: America/New_York) - Magic Hour start time (default: 7:00 AM, adjustable 0-23) - Monitoring window duration (default: 3 hours) **Display Options:** - Toggle dashboard, hour box, window box, key levels - Show/hide probability labels - Dark/Light dashboard theme - Keep history (last 10 sessions) **Extension Levels:** - Enable/disable 25%, 50%, 75%, 100% extensions individually - Useful for focusing on high-probability setups only **Line Colors (Fully Customizable):** - High/Low/Mid line color - Golden zone color (below-avg 25% extensions) - Medium zone color (50% extensions, above-avg 25%) - Low probability color (75%, 100% extensions) **Box Colors (Fully Customizable):** - Magic Hour Box (Below Avg) - default green - Magic Hour Box (Above Avg) - default orange - Window Box Color - default purple **Label Settings:** - Text size: Tiny, Small, Normal, or Large - Adjustable for visibility on different screen sizes **Alerts:** - Golden setup alert (79%+ probability on NQ) - Dead zone alert (10:00 AM edge decay warning) ## How to Use (NQ Futures Only) 1. **Apply to NQ chart only** (NQ1!, MNQ1! for micro, or your broker's NQ symbol) 2. **Range Classification:** After 8:00 AM ET, check dashboard "Range Size" (BELOW AVG = higher probability) 3. **Time Window:** Trade during Golden (8-9 AM) or Medium (9-10 AM) windows only 4. **Entry Setup:** Wait for price to sweep 25% or 50% extension levels 5. **Target:** Mean reversion to magic hour range (high/low/mid) 6. **Avoid:** Trading after 10:00 AM when edge drops to 21-35% **Highest Probability NQ Trades:** - Below-average range + Golden window (8-9 AM) + 25% extension sweep = 79-85% reversion probability - Use dashboard "Classification" to identify Tier 1 (Golden) setups **Recommended Timeframes:** 1-minute, 5-minute, or 15-minute charts ## Important Risk Disclaimer ⚠️ **THIS INDICATOR IS FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY** **NQ-Specific Limitations:** - **THIS INDICATOR IS CALIBRATED FOR NQ FUTURES ONLY** - probabilities are hardcoded from NQ backtest data - **DO NOT USE ON OTHER INSTRUMENTS** (ES, MES, YM, RTY, stocks, crypto, etc.) - statistics will be inaccurate - Even on NQ, past performance does not guarantee future results - Market regime changes may cause historical probabilities to become invalid - Probabilities are based on 2020-2025 backtest data and may not reflect current conditions **General Trading Risks:** - Trading futures involves substantial risk of loss and is not suitable for all investors - This indicator does not constitute financial advice, investment advice, or trading advice - Users are solely responsible for their own trading decisions and risk management - The creator assumes no liability for trading losses incurred using this indicator - Always use proper position sizing, stop losses, and risk management - Consult a licensed financial advisor before making any trading decisions **Before Using This Indicator:** 1. Understand that this is NQ-specific - not applicable to other markets 2. Paper trade for at least 30 days to verify edge still exists 3. Confirm probabilities match your forward testing results 4. Have a written trading plan with entry/exit rules 5. Never override your stop loss based on "high probability" setups ## Technical Specifications - **Instrument:** NQ (E-mini Nasdaq-100 futures) ONLY - **Timeframe:** All intraday timeframes (1m, 5m recommended) - **Timezone:** America/New_York (ET) - adjustable - **Session:** Pre-market + Regular hours (7:00 AM - market close) - **Data:** Based on 1,546 NQ sessions (2020-2025) - **Object Management:** Ring buffer system (max 10 sessions in history) - **Performance:** Optimized for low-latency updates ## Version History **Version 1.0** (Initial Release) - NQ-specific probability framework - Real-time dashboard with tier classification - Customizable colors and label sizes - Object reuse optimization - Golden setup and dead zone alerts --- **Developed by:** Constantin **Based on:** NQ futures mean reversion research (2020-2025, 1,546 sessions) **Indicator Type:** Mean Reversion / Range-Based **Asset Class:** Futures (NQ only) --- ## FAQ **Q: Can I use this on ES or MES?** A: No. The probabilities are hardcoded from NQ data only. Using on other instruments will give inaccurate probability readings. **Q: Why is it NQ-only?** A: The backtest statistics (79%, 85%, etc.) are specific to NQ's volatility profile, contract specifications, and market structure. Each instrument has different characteristics. **Q: Will you create versions for other instruments?** A: Potentially in the future, but each instrument requires its own 6-year backtest to calibrate accurate probabilities. **Q: What if the probabilities stop working?** A: Market regimes change. Always forward test and monitor actual vs expected win rates. If results deviate >10%, stop using the indicator and reassess. **Q: Can I use this for day trading?** A: Yes, it's designed for intraday NQ trading during the morning session (7:00 AM - 11:00 AM ET). --- For questions, feedback, or to report issues, please comment below or contact via TradingView messages. **Remember: Trade NQ only with proper risk management. This indicator is a tool, not a guarantee.**
อินดิเคเตอร์ Pine Script®
โดย const
2
Malaysian SNR Storyline MTFThis indicator visualizes the Malaysian Support and Resistance (SNR) trading methodology by drawing the market's "storyline" - a visual representation of trend structure showing both external (main) and internal (pullback) trends. 🎯 What It Does The indicator analyzes price action by comparing consecutive candle closes to determine trend direction. It distinguishes between: External Trends - Main trend movements (solid lines) Internal Trends - Pullbacks within the main trend (dashed lines) Trend Changes - Horizontal lines marking where the storyline shifted direction ⏱️ Multi-Timeframe Support Analyze the storyline from any timeframe while viewing your preferred chart timeframe. Simply select your desired timeframe from the dropdown - leave it on "Chart" to use the current chart's timeframe. 📊 Features Multi-timeframe analysis - view higher timeframe structure on lower timeframe charts Automatic detection of external vs internal trends Trend change level visualization Customizable colors for uptrends, downtrends, and trend changes Adjustable line widths for external and internal trends Session highlighting (Asian, London, New York) with customizable times and colors Alert functionality for trend changes ⚙️ Settings Timeframe - Select "Chart" or any higher timeframe Bars Lookback - Number of bars to analyze (default: 250) Line Colors - Customize uptrend, downtrend, and trend change colors Line Widths - Separate width settings for external and internal trends Sessions - Toggle and customize Asian, London, and New York session overlays 🔔 Alerts Enable alerts to get notified when the storyline changes direction. The alert sends a JSON payload containing the event type and symbol. 📖 How To Use Green lines = Uptrend (bullish storyline) Red lines = Downtrend (bearish storyline) Solid lines = External (main) trend Dashed lines = Internal (pullback) trend Orange horizontal lines = Trend change levels Use the storyline to identify the current market structure and potential reversal points. Internal trends that fail to break the external trend's origin often signal continuation of the main trend. 💡 Tip Combine multiple timeframes by adding the indicator twice with different timeframe settings to see both the higher timeframe structure and current timeframe storyline simultaneously.
อินดิเคเตอร์ Pine Script®
โดย trading-guide
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.
อินดิเคเตอร์ Pine Script®
โดย neeson1987