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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
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
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence. The EMAs used are EMA 9, EMA 12 and EMA 20. When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal. The way to use it is to apply it onto the Pine Screener. You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan. If Condition is True, the candlesticks would have a green arrow below and the background is highlighted. The script is published, feel free to amend it as you like Have a Nice Day, and Trade Safe !
Penunjuk Pine Script®
oleh IM_KTD_
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
Penunjuk Pine Script®
oleh jordanboneal31
Multi-Layer Support Resistance & Auto TrendlineMulti-Layer Support Resistance & Auto Trendline (Multi-Timeframe Analysis) Maximize your chart analysis with this advanced Support and Resistance (S/R) engine. This indicator automatically detects critical horizontal levels and diagonal trendlines across four different lookback periods, giving you a comprehensive view of market structure. Why this indicator? Universal Search Appeal: Ideal for traders looking for "Support and Resistance," "Auto Trendline," "Pivot Points," and "Gap Detection." Multi-Layer Logic: Filters market noise by identifying levels from short-term scalping confirms to ultra-long-term historical walls. Auto Trendlines: No more manual drawing. It automatically connects valid pivot highs and lows to visualize trend channels and breakouts. Gap Analysis: Automatically marks "Windows" (Gaps) as high-priority zones, often acting as magnetic levels for future price action. Cyberpunk Aesthetics: High visibility neon colors with customizable transparency to keep your chart professional yet intuitive. How to trade: Focus on price action where multiple layers (e.g., a diagonal trendline and a long-term horizontal line) intersect. These "confluence zones" offer higher probability trade setups. 多層型サポート＆レジスタンス＋自動トレンドライン（マルチ分析エンジン） 「サポート・レジスタンス」「自動トレンドライン」「窓（ギャップ）検知」を一つに統合した、高度な相場分析ツールです。4つの期間（短期・中期・長期・超長期）から価格の壁と流れを自動的に抽出し、精度の高いトレード戦略をサポートします。 本インジケーターの強み: 高い検索親和性: 「サポレジ」「自動トレンドライン」「ピボット」「窓埋め」などの普遍的な要素を全て網羅しています。 4層の多角ロジック: ノイズの多い短期的な節目から、歴史的に意識される超長期の壁までを階層的に表示。 自動トレンドライン: 高値・安値の更新に合わせて斜めのラインを自動描画。トレンドの転換やブレイクアウトを瞬時に判断できます。 ギャップ（窓）検知: 窓が開いた重要価格帯を自動マーク。窓埋めや反発の根拠として利用できます。 洗練されたデザイン: 視認性の高いネオンカラーを採用しつつ、層ごとの透明度や太さを自由に調整可能。チャートの美しさと実用性を両立しました。 活用方法: 複数のライン（例：斜めのトレンドラインと長期水平線）が重なる「コンフルエンス（根拠の重なり）」に注目してください。そこが最も反発やブレイクが期待できる強力なエントリーポイントになります。
Penunjuk Pine Script®
oleh ken5_5489
1
ICT Silver Only Toolkit (XAGUSD) No Baby ICTThis indicator is designed exclusively for Silver (XAGUSD) and applies core ICT concepts to help traders identify high-probability smart-money setups. It automatically plots the Asia session range, London and New York killzones, previous day high/low, equal highs and lows (liquidity pools), Asia liquidity sweeps, and ICT fair value gaps (FVGs). The toolkit also includes “Do Nothing” warning labels to help traders avoid low-quality conditions such as trading outside killzones, extended pre-NY moves, or impulsive candles. Built for precision and patience, this indicator supports traders who wait for liquidity, displacement, and retracement rather than chasing price. Best used on 1–15 minute charts during London and New York sessions. No indicators for bias guessing. No scalping gimmicks. Just clean ICT structure for Silver.
Penunjuk Pine Script®
oleh TradimgTechie