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อินดิเคเตอร์และกลยุทธ์

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
SMC Louis 4H-15M V6为了方便你将这个脚本分享到 TradingView 社区或私人收藏，我为你准备了一份中英文对照的专业描述。这份描述突出了脚本的技术核心——**Louis Trading 的 SMC 进场逻辑**。 --- ## 📝 脚本描述 / Script Description ### 中文描述：SMC Louis 实战进场辅助工具 (V6版本) **核心理念：** 本脚本根据 Louis Trading 的 SMC（Smart Money Concepts）交易教学编写，专注于 **4H 趋势过滤 + 15M 结构突破** 的高胜率进场逻辑。它通过自动化的绘图，将复杂的盘面观察简化为清晰的视觉信号。 **主要功能：** * **多时段趋势追踪**：内置 200 EMA 动态过滤大周期方向，确保你始终顺势交易。 * **自动 BOS (结构突破) 检测**：实时标记市场结构的改变，识别潜在的反转或延续机会。 * **动态 0.715 进场参考线**：当 15M 级别发生 BOS 突破时，脚本自动根据波段高低点计算并绘制 Louis 教学中的 **0.715 黄金回撤位**，无需手动拉斐波那契线。 * **失衡区 (FVG) 视觉化**：自动高亮显示价格快速移动留下的真空区域，帮助识别高概率的订单回踩区。 * **实时仪表盘**：右上角直观显示当前大周期方向与行动建议（等待回踩或反弹）。 **使用说明：** 1. 建议在 **15分钟 (15M)** 周期下使用。 2. 观察仪表盘的趋势方向。 3. 当绿色 **BOS** 出现后，等待价格回踩 **黄色虚线 (0.715)** 且该线位于 **FVG** 区域内时考虑进场。 --- ### English Description: SMC Louis Strategy Entry Assistant (V6) **Core Concept:** This script is meticulously designed based on the SMC (Smart Money Concepts) methodology taught by Louis Trading. It focuses on the high-probability **4H Trend Filter + 15M Market Structure Break (BOS)** execution workflow. It automates the complex manual charting process into clear, actionable visual cues. **Key Features:** * **MTF Trend Filtering**: Integrated 200 EMA helps you stay on the right side of the 4H higher-timeframe trend. * **Automated BOS Detection**: Real-time identification of Market Structure Breaks (BOS), highlighting potential trend reversals or continuations. * **Dynamic 0.715 Entry Level**: When a BOS occurs on the 15M timeframe, the script automatically calculates and plots the **0.715 Fibonacci retracement level**—a signature entry point from Louis's strategy. * **Fair Value Gap (FVG) Visualization**: Automatically highlights price imbalances (FVGs), helping you spot where "Smart Money" is likely to mitigate orders. * **Live Dashboard**: A clean UI in the top-right corner provides immediate context on trend direction and actionable advice. **How to Use:** 1. Best used on the **15-Minute (15M)** timeframe. 2. Check the dashboard for the overall trend bias. 3. Wait for a **BOS** label; look for price to retracing into the **Yellow Dashed Line (0.715)**, especially if it aligns with a plotted **FVG box**. --- ### 💡 建议 如果你打算发布这个脚本，建议在 TradingView 的设置中将“15M 摆动回溯周期”默认设置为 **10-15**，这通常能最准确地过滤掉市场杂讯。 **你想让我为你生成一份专门针对“移动端使用”的简化版界面代码吗？（去掉了复杂的仪表盘，只保留核心线条，适合手机查看）**
อินดิเคเตอร์ Pine Script®
โดย daves723
Tom's Highs & Lows (V11.0) Updated to include previous month and previous week as well as cleaned up the session background fill to limit it to the high and low of the session. Tried to streamline the menu a bit Added - Previous Month Added - Previous Week Added - Daily Open - customizable time Previous Day Asian Session - customizable time range London Session - customizable time range New York Session - customizable time range
อินดิเคเตอร์ Pine Script®
โดย tjdarnell
BTC Correlation multiframesBTC Correlation indicator for scalping. Shows real-time correlation between the current asset and Bitcoin across three timeframes (30m, 1H, 4H), regardless of the chart timeframe you're viewing. Green indicates strong positive correlation (asset follows BTC), yellow shows independence (ideal for scalping without BTC influence), and red indicates inverse correlation. Perfect for quick identification of whether your scalping target is moving independently from Bitcoin's price action. The indicator compares percentage changes of the current candle in each timeframe, providing instant visual feedback on correlation strength through color-coded values.
อินดิเคเตอร์ Pine Script®
โดย Nikrostrategy
Multi-Timeframe Rsi-Mean Deviation (Normalized)═══════════════════════════════════════════════════════════════════ RSI SIGMOID OSCILLATOR + MULTI-TIMEFRAME Advanced RSI-EMA Deviation Analysis with Z-Score Normalization ═══════════════════════════════════════════════════════════════════ 📊 OVERVIEW ────────── This indicator measures the deviation of RSI from its EMA and transforms it into a normalized 0-100 oscillator using z-score and sigmoid function. It provides multi-timeframe analysis with a clean visual dashboard, making it easy to spot momentum shifts across different time horizons. 🎯 KEY FEATURES ────────────── ✓ Z-Score Normalized RSI-EMA Deviation ✓ Sigmoid Transformation (0-100 scale with smooth transitions) ✓ Multi-Timeframe Support (compare up to 3 timeframes simultaneously) ✓ Interactive Dashboard (real-time values and trend indicators) ✓ Dynamic Color Coding (red below 50, unique colors above 50) ✓ Timeframe Labels (clear identification of each line) ✓ RSI Bollinger Bands (hidden background extreme detection) ✓ Clean Minimalist Design ⚙️ HOW IT WORKS ────────────── 1. DEVIATION CALCULATION - Calculates: RSI - EMA(RSI) - Measures how far RSI deviates from its moving average 2. Z-SCORE NORMALIZATION - Converts deviation to z-score: (deviation) / stdev(deviation) - Makes signals comparable across different market conditions 3. SIGMOID TRANSFORMATION - Maps z-score to 0-100: sigmoid = 100 / (1 + e^(-k*z)) - Provides smooth, bounded oscillator with clear midline (50) 4. MULTI-TIMEFRAME ANALYSIS - Displays current TF + 2 higher timeframes - All calculations use identical parameters for consistency 📈 INTERPRETATION ──────────────── OSCILLATOR VALUES: • Above 50 = Bullish momentum (RSI > its EMA) • Below 50 = Bearish momentum (RSI < its EMA) • Near 70 = Strong bullish (potential overbought) • Near 30 = Strong bearish (potential oversold) COLOR CODING: • Blue line = Current timeframe • Orange line = Higher timeframe 1 (default: 4H) • Lime line = Higher timeframe 2 (default: 1D) • Red = All timeframes when below 50 MULTI-TIMEFRAME SIGNALS: • All 3 lines above 50 = Strong bullish alignment • All 3 lines below 50 = Strong bearish alignment • Mixed signals = Potential reversal or consolidation 🔧 PARAMETERS ───────────── RSI Period (14): Base RSI calculation period RSI EMA Period (14): EMA smoothing for RSI Standard Deviation Period (20): Window for z-score calculation Sigmoid Sensitivity (1.0): Controls oscillator responsiveness (0.1-10.0) Bollinger Band Multiplier (2.0): For background extreme detection Higher Timeframe 1 (240): First comparison timeframe Higher Timeframe 2 (D): Second comparison timeframe 💡 USAGE TIPS ──────────── 1. TREND CONFIRMATION - Use higher timeframes to confirm trend direction - Only take longs when 4H/1D also above 50 2. DIVERGENCE DETECTION - Watch for price making new highs/lows while oscillator doesn't - Classic bullish/bearish divergence signals 3. OVERBOUGHT/OVERSOLD - Values above 70: Consider taking profits or tightening stops - Values below 30: Watch for reversal or continuation 4. TIMEFRAME ALIGNMENT - Best trades occur when all timeframes align - Mixed signals suggest waiting for clarity ⚠️ IMPORTANT NOTES ───────────────── • Not a standalone trading system - use with other confirmations • Works best in trending markets • Adjust sensitivity (k) for different instruments • Higher k values = more responsive (more signals) • Lower k values = smoother (fewer false signals) 📊 DASHBOARD ─────────── The top-right table shows: • TF: Timeframe identifier • Signal: Current oscillator value (0-100) • Trend: Green circle (≥50) or Red circle (<50) ═══════════════════════════════════════════════════════════════════ Created for multi-timeframe momentum analysis Best used on 1H, 4H, or Daily charts Combines statistical normalization with sigmoid smoothing ═══════════════════════════════════════════════════════════════════ ⚠️ DISCLAIMER ───────────── This indicator is provided for educational and informational purposes only. It is NOT financial advice. Trading involves substantial risk of loss and is not suitable for everyone. Past performance does not guarantee future results. Always: • Use proper risk management • Combine with other analysis methods • Test thoroughly before live trading • Never risk more than you can afford to lose • Consult a financial advisor for personalized advice 👍 SUPPORT THIS WORK ─────────────────── If you find this indicator useful: 📊 Please give it a LIKE / BOOST 💬 Leave a COMMENT with your feedback 👤 FOLLOW me for more quality indicators and updates ⭐ Share with others who might benefit Your support motivates me to create more free tools for the trading community! ═══════════════════════════════════════════════════════════════════
อินดิเคเตอร์ Pine Script®
โดย hasanaksoy199264
True FVGs v2This script identifies and plots true Fair Value Gaps (FVGs) using a strict three-candle structure, distinguishing between two formation types while accounting for doji candles. It draws shaded boxes to represent untraded price imbalances, with Type A and Type B gaps defined by precise wick-to-body and body-to-body relationships that reflect institutional price displacement. The indicator allows the user to control how far each FVG extends and how many recent FVGs remain visible, keeping the chart clean and relevant. This is helpful because it highlights high-probability areas where price is likely to react, enabling more precise trade planning, entries, and risk management without visual clutter. It expands on the first script (True FVGs) and allows for a more controlled design fitting each trader's desires.
อินดิเคเตอร์ Pine Script®
โดย andrew_blichasz
Custom Dividers [louis]Custom Dividers is a streamlined utility designed for Multi-Timeframe Analysis (MTF). It allows you to visualize higher timeframe structures directly on lower timeframe charts by drawing infinite vertical lines at the open of new periods. Unlike standard grid lines and other divider indicators, this has custom inputs, giving you complete control over non-standard timeframes (e.g., 90-minute cycles, 6-hour blocks, or 2-day periods). 🔑 Key Features - 4 Independent Timeframe Slots: Configure up to four different vertical dividers simultaneously. - Custom Minute Inputs (TF 1 & TF 2): Instead of restricting you to a dropdown, the first two slots allow you to input any integer for minutes. Example: Set 90 for 90-minute cycle dividers. Example: Set 360 for 6-hour dividers. - Standard Timeframe Selectors (TF 3 & TF 4): Traditional dropdowns for standard periods like Daily (D), Weekly (W), or Monthly (M). - Visual Customization: Lines: Uses line.new() drawing logic to ensure dividers stretch infinitely from top to bottom, regardless of price scale. Styles: Select from Solid, Dashed, or Dotted directly in the inputs. Width & Color: Fully customizable to blend into your chart theme. ⚙️ How to Configure Go to the Settings (Inputs Tab): TF 1 & TF 2: Enter the specific number of minutes (e.g., 60 = 1 Hour, 240 = 4 Hours). Toggle the checkbox to Show/Hide. TF 3 & TF 4: Select the timeframe period from the dropdown. Toggle the checkbox to Show/Hide. Style: Choose your line style, color, and width. Note: Since this indicator uses geometric drawings (line.new) to achieve full-height vertical lines, all visual settings (Color, Width, Style) are located in the Inputs Tab, not the Style tab.
อินดิเคเตอร์ Pine Script®
โดย louisq69
Luminous Market Flux [Pineify]Luminous Market Flux - Dynamic Volatility Channel with Breakout Detection The Luminous Market Flux indicator is a sophisticated volatility-based trading tool that combines dynamic channel analysis with breakout detection and squeeze identification. This indicator helps traders visualize market conditions by creating an adaptive envelope around price action, highlighting periods of compression (low volatility) and expansion (high volatility) while generating actionable buy and sell signals at key breakout moments. Key Features Dynamic volatility channel that adapts to changing market conditions using ATR-based calculations Visual squeeze detection system that warns traders when volatility is contracting Automatic breakout signal generation for both bullish and bearish scenarios Luminous gradient fill that provides instant visual feedback on price position within the channel Bar coloring feature that highlights strong volatility breakouts Built-in alert conditions for automated trading notifications How It Works The indicator operates on three core calculation layers: 1. Baseline Calculation (Central Tendency) The foundation uses a Running Moving Average (RMA) of the closing price over the specified Flux Length period. RMA was specifically chosen over SMA or EMA because it provides smoother trend detection similar to how RSI and ATR calculations work, reducing noise while maintaining responsiveness to genuine price movements. 2. Volatility Measurement The channel width is determined by the Average True Range (ATR) multiplied by the Flux Expansion Factor. ATR captures the true volatility of the market by accounting for gaps and limit moves, making the channel responsive to actual market conditions rather than just closing price variations. 3. Squeeze Detection Logic The indicator compares the current channel width against a 100-period simple moving average of historical channel widths. When the current range falls below 80% of this average, a squeeze condition is identified, signaling that volatility is compressing and a significant move may be imminent. Trading Ideas and Insights Breakout Trading: Enter long positions when price breaks above the upper flux channel with a BUY signal, and short positions when price breaks below the lower channel with a SELL signal. These breakouts indicate strong momentum in the direction of the move. Squeeze Anticipation: When squeeze circles appear at the top of the chart, prepare for a potential explosive move. Squeezes often precede significant breakouts as the market coils before releasing energy in one direction. Trend Confirmation: Use the bar coloring feature to confirm trend strength. Colored bars indicate that price is trading outside the volatility envelope, suggesting strong directional momentum. Mean Reversion: When price is within the channel (no bar coloring), the gradient fill helps identify whether price is closer to the upper or lower boundary, potentially useful for mean-reversion strategies. How Multiple Indicators Work Together This indicator integrates several technical concepts into a cohesive system: The RMA baseline provides the trend anchor, while the ATR-based envelope adapts to volatility conditions. These two components work together to create a channel that expands during volatile periods and contracts during quiet markets. The squeeze detection layer adds a third dimension by comparing current volatility to historical norms, alerting traders when the market is unusually quiet. The visual elements reinforce this analysis: the gradient fill shows price position within the channel at a glance, bar coloring confirms breakout strength, and shape markers provide discrete entry signals. This multi-layered approach ensures traders receive consistent information across different visualization methods. Unique Aspects The "Luminous" visual design uses color gradients that dynamically shift based on price position, creating an intuitive heat-map effect within the channel Unlike traditional Bollinger Bands that use standard deviation, this indicator uses ATR for volatility measurement, making it more responsive to actual price range movements The squeeze detection compares current volatility to a longer-term average (100 periods), providing context-aware compression signals rather than arbitrary thresholds Signal generation uses proper state tracking to ensure breakout signals only fire on the initial breakout, not on every bar during an extended move How to Use Add the indicator to your chart. It will overlay directly on price with the volatility channel visible. Watch for BUY labels appearing below bars when price breaks above the upper channel - these indicate bullish breakout opportunities. Watch for SELL labels appearing above bars when price breaks below the lower channel - these indicate bearish breakout opportunities. Monitor for small circles at the top of the chart indicating squeeze conditions - prepare for potential breakouts when these appear. Use the colored bars as confirmation of breakout strength - green bars confirm bullish momentum, red bars confirm bearish momentum. Set up alerts using the built-in alert conditions to receive notifications for buy signals, sell signals, and squeeze warnings. Customization Flux Length (default: 20): Controls the lookback period for both the baseline and ATR calculations. Lower values create more responsive but noisier channels; higher values create smoother but slower-reacting channels. Flux Expansion Factor (default: 2.0): Multiplier for the ATR value that determines channel width. Higher values create wider channels with fewer signals; lower values create tighter channels with more frequent signals. Smooth Signal : Toggle for signal smoothing preference. Bullish Energy : Customize the color for bullish breakouts and upper channel highlights. Bearish Energy : Customize the color for bearish breakouts and lower channel highlights. Compression/Neutral : Customize the color for squeeze indicators and neutral channel states. Conclusion The Luminous Market Flux indicator provides traders with a comprehensive volatility analysis tool that combines channel-based trend detection, squeeze identification, and breakout signaling into a single, visually intuitive package. By using ATR-based volatility measurement and RMA smoothing, the indicator adapts to changing market conditions while filtering out noise. Whether you are a breakout trader looking for momentum entries or a swing trader waiting for volatility expansion after compression periods, this indicator offers the visual clarity and signal precision needed to make informed trading decisions.
อินดิเคเตอร์ Pine Script®
โดย Pineify
Consolidation Zones (Range + ATR + optional ADX)Consolidation Zones — Market Compression Visualizer Consolidation Zones is a visual market-structure indicator designed to identify periods of price compression where volatility contracts and directional movement pauses. These zones often precede expansion, breakout, or trend continuation, making them critical areas for trade preparation and risk planning. Instead of relying on a single oscillator, this script evaluates price behavior over time to detect when the market is moving sideways within a defined range. When consolidation is present, the indicator highlights the zone directly on the chart, allowing traders to immediately see where balance is occurring. What This Indicator Helps You Do: Identify low-volatility, sideways markets Spot compression before expansion Avoid entering trades during chop and noise Prepare for breakout or breakdown scenarios Combine structure with your existing trend or momentum tools How to Use It Inside the zone: Expect indecision and mean-reversion behavior Break above the zone: Potential bullish expansion Break below the zone: Potential bearish expansion Use zone boundaries as context for entries, stops, and targets This indicator is intentionally non-predictive — it does not guess direction. Instead, it provides clarity, showing where the market is coiling so you can act when price reveals intent. Best Paired With Trend indicators (EMA, VWAP) Momentum tools (RSI, MACD) Volume or volatility expansion tools Notes Consolidation is timeframe-dependent — zones may differ across intervals Designed as a context tool, not a standalone signal generator This indicator is for educational and informational purposes only.
อินดิเคเตอร์ Pine Script®
โดย RiskReaperReward
Supertrend by JKRSupertrend by JKR is a trend-following overlay that plots dynamic support/resistance bands around price and flips when the trend changes. It builds a smoothed baseline using your selected moving average type (SMA, TMA, WMA, VWMA, TEMA, HMA, EMA, or VMA). Around this baseline, it computes a volatility/range offset (classic ATR mode or Dual-Thrust range mode) and creates two trailing bands: UpTrend band (active during bullish conditions) DownTrend band (active during bearish conditions) When price closes beyond the active band, the indicator flips trend direction and switches to the opposite band. While the trend remains active, the band “trails” price and updates in a way that avoids stepping backwards, which helps keep the trend structure clean and stable. Options Trend-change arrows (optional) Bar coloring or candle overlay (optional) Designed to evaluate on bar close for stable signals Tip: Increase the Multiplier to reduce flips and widen bands; reduce Period to make the trend more responsive.
อินดิเคเตอร์ Pine Script®
โดย kJulian3
AI Adaptive Trend Navigator Echo EditionAI Adaptive Trend Navigator This is an advanced trend-following system optimized for high-volatility index futures (TX). Built upon the LuxAlgo clustering framework, this version introduces several critical enhancements to meet professional trading standards: 1. State Consistency Iteration Enhanced the underlying logic for dynamic arrays and User-Defined Types (UDTs) to ensure stable "State Persistence." This fix eliminates logic gaps during real-time price fluctuations, ensuring that historical backtests perfectly align with live execution. 2. Adaptive Factor Tuning (K-means) The system simulates dozens of parameter paths in real-time, using K-means clustering to automatically select the optimal factor suited for the current market volatility. 3. Advanced Practical Filters Dynamic Buffer Strategy: Filters out market noise during consolidation and early session volatility. Confidence Threshold: Only triggers signals when the AI performance score meets the required quality. Cooldown Logic: Prevents rapid signal flipping in choppy markets. 🧠 開發理念：將 AI 自適應力帶入台指期實戰 針對台指期（TX）高波動特性開發，透過機器學習演算法動態尋優，解決傳統指標參數固定的滯後性。 ✨ Echo 版核心優化點 數據連續性迭代：底層邏輯優化，確保訊號在即時盤勢中穩定不跳斷，回測與實戰高度吻合。 自適應動態尋優：透過 K-means 聚類自動鎖定當前最佳 ATR 因子。 實戰多重濾網：包含空間緩衝區 (Buffer) 與信心門檻，大幅提升訊號品質。 📊 視覺說明 🚀 Rocket: AI confirms trend momentum. ⚡ Lightning: Trend exhaustion or reversal warning. ⚠️ Disclaimer: For educational and technical analysis purposes only.
อินดิเคเตอร์ Pine Script®
โดย EchoQuan
Pivot Levels Real-Time Latest Bar (Skip Current, With Zones)ddPivot Levels Real-Time Indicator with Shaded Zones Author: Ammar Hasan Overview The Pivot Levels Real-Time Indicator is a TradingView Pine Script (v5) indicator that plots classic pivot levels using the most recently confirmed bar while skipping the currently forming bar. It enhances the chart with shaded zones between pivot levels to help visualize potential support, resistance, and price reaction areas. Key Features Uses the latest confirmed bar only (no repainting) Plots Pivot, S1, S2, S3 and R1, R2, R3 Displays shaded zones between levels Automatically removes old drawings to keep the chart clean Lightweight and suitable for lower timeframes No labels for a clean visual layout Pivot Level Calculations Pivot (P) = (High + Low + Close) / 3 Support Levels S1 = 2 x Pivot - High S2 = Pivot - (High - Low) S3 = Low - 2 x (High - Pivot) Resistance Levels R1 = 2 x Pivot - Low R2 = Pivot + (High - Low) R3 = High + 2 x (Pivot - Low) All values are calculated using the last confirmed candle to ensure stable, non-repainting levels. Visual Components Lines The pivot line is drawn in yellow and slightly thicker for emphasis. Support lines are drawn in red. Resistance lines are drawn in green. Shaded Zones Resistance Zones R3 to R2 R2 to R1 R1 to Pivot Support Zones Pivot to S1 S1 to S2 S2 to S3 These zones help visualize supply and demand areas and potential price reaction zones. Use Cases Intraday trading Scalping Support and resistance analysis Price action confirmation Notes and Limitations Levels update once per confirmed candle Zones are drawn only for a short forward range by default This indicator is not intended to be used as a standalone trading system Conclusion The Pivot Levels Real-Time Indicator with Shaded Zones provides a clean and reliable visualization of key market levels while avoiding repainting. The shaded zones add depth and context, helping traders better understand price behavior around important levels. Developed by Ammar Hasan
อินดิเคเตอร์ Pine Script®
โดย hasan_ammar_fast
HIGHS & LOWS RusosTITLE: HIGHS & LOWS Rusos - Multi-Timeframe Liquidity Engine DESCRIPTION: HIGHS & LOWS Rusos is a professional-grade structural liquidity tool designed to identify key Highs and Lows across multiple timeframes with a smart filtering engine. This script focuses on high-probability liquidity zones while maintaining a clean and organized chart. Key Features: Hierarchical Priority: The script uses a "Waterfall" logic. Monthly levels take priority over Weekly, Weekly over Daily, and so on. If levels from different timeframes overlap (within a tick margin), only the higher-order level is displayed to avoid clutter. Multi-Timeframe Tracking: Automatically plots Monthly (HM/LM), Weekly (HS/LS), Daily (HD/LD), and 4-Hour (H4h/L4h) structural points. Precision Anchoring: Lines are drawn from the exact start of their respective cycles (Month, Week, Day), providing accurate historical context. Dynamic Mitigation: When price touches a level, the line is cut and marked with an "×". You can fully customize the opacity of these mitigated levels in the settings to keep your focus on active liquidity. Optimized Performance: Built-in memory management limits the number of active and historical lines to ensure smooth performance. Technical Hierarchy: Monthly > Weekly > Daily > 4 Hours Lower timeframe levels are automatically hidden when viewing higher timeframe charts to prevent visual artifacts.
อินดิเคเตอร์ Pine Script®
โดย RusovskyTP
1
VWF Trend VWF Trend – Fear-Based Trend Detection VWF Trend is a price-overlay indicator designed to detect trend direction and strength using a volatility-based approach derived from Williams Vix Fix (WVF). Unlike classic momentum indicators, VWF Trend focuses on fear and pressure zones and projects them directly onto the price chart for intuitive trend reading. Key Concept (Important) When the VWF lines contract and stay close to each other, the trend is strong. This contraction means: Volatility is controlled Price is moving with commitment Trend continuation probability is high When the distance between the lines expands, trend strength weakens and the market is more likely to enter consolidation or transition. How It Works The central VWF EMA line acts as a dynamic trend threshold Upper and lower VWF bands define define pressure boundaries Price position relative to the VWF line determines trend bias How to Read 🟢 Bullish Trend Price stays above the VWF line VWF bands remain tight and compressed Indicates strong upward trend 🔴 Bearish Trend Price stays below the VWF line VWF bands remain tight and compressed Indicates strong downward trend ⚠️ Weak or Transition Zone Bands start expanding Price oscillates around the VWF line Trend strength is decreasing Why VWF Trend? Highlights trend strength visually Helps identify early trend continuation Filters noise during strong moves Works well after high-volatility events Clean and chart-friendly design Note: VWF Trend is best used as a trend strength and direction filter, not as a standalone buy/sell signal. It performs best when combined with price action, structure, or volume analysis.
อินดิเคเตอร์ Pine Script®
โดย onderarslantas107