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指标和策略

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）**
Pine Script®指标
由daves723提供
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.
Pine Script®指标
由neeson1987提供
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes. Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode: Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes. Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100). Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves. Key Features: Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture". Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average. Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading. How to Use: Select your preferred Trading Mode in the settings. Enable HTF Background to visualize the dominant trend from a higher timeframe. Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Pine Script®指标
由Apex-Wallet提供
Market DashboardMarket Dashboard - Trend vs Chop Detection A comprehensive intraday market internals dashboard that displays five key metrics to help traders quickly identify whether the market is in a trending or sideways/rotational regime. METRICS DISPLAYED: 1. VOLD Ratio - Up Volume / Down Volume ratio for NYSE • > +2.0 = Strong buying pressure (green) • < -2.0 = Strong selling pressure (red) • Between -2 and +2 = Neutral/rotational (gray) 2. RVOL - Relative Volume compared to same time over past N days • > 1.5 = Above-average participation (orange) • < 0.7 = Below-average participation (blue) • Otherwise neutral (gray) 3. Breadth % - Net percentage of advancing vs declining issues • > +30% = Broad upside participation (green) • < -30% = Broad downside participation (red) • Between -30% and +30% = Mixed/rotational (gray) 4. ADR Used % - Session range utilization vs 5-day Average Daily Range • > 80% = Extended move, potential exhaustion (orange) • < 30% = Compressed, room to move (blue) • Otherwise neutral (gray) 5. TICK - NYSE TICK Index with sentiment label • > +600 = Strong uptick pressure (green) • < -600 = Strong downtick pressure (red) • Between -600 and +600 = Neutral (gray) HOW TO READ: Trending Day Signals: • VOLD > ±2.5 + Breadth > ±50% + TICK sustained in one direction + RVOL > 1.5 + ADR climbing = Strong trend, trade with pullbacks Sideways/Chop Signals: • VOLD oscillating ±2 + Breadth flipping around 0% + TICK whipping + RVOL < 1.2 + ADR mean-reverting = Range-bound, fade extremes or stand aside CUSTOMIZATION: • Adjustable ADR length (default 5 days) • Adjustable RVOL lookback period (default 10 days, 30 bars) • Table position selector (9 positions available) Perfect for ES, NQ, and other index futures traders who need quick regime assessment at a glance.
Pine Script®指标
由volatility_Viking提供
NQ 5x Daily SessionsThis indicator automatically plots horizontal lines for the Daily Open as well as four of the most significant trading milestones of the day (CET/Berlin time). It helps you instantly identify psychological price levels and institutional opening marks directly on your chart. Features: Key Time Stamps: Automatic lines for the daily opening price and specific session opens at 08:00 (Frankfurt/Pre-Market), 10:00, 14:00, and 15:30 (NYSE Open). Fully Customizable: Control line thickness, label visibility, and the extension of current intraday lines via the settings menu. Trading Application: These levels often act as significant Support & Resistance during intraday trading. The 08:00 and 15:30 marks, in particular, frequently represent turning points or the start of strong trends, as trading volume spikes significantly during these windows.
Pine Script®指标
由GaborMehringer提供
Dual-Scale MACDDual-Scale MACD is a dual-timeframe momentum indicator that displays a scaled short-term MACD together with a long-term MACD in the same pane. The short-term MACD can be amplified by a configurable scale ratio, allowing its momentum structure to be visually aligned with the long-term MACD. All EMA parameters are fully configurable, making this indicator suitable for experimentation with multi-cycle momentum resonance. Features Two independent MACD systems (short-term + long-term) Fully configurable EMA parameters Adjustable scale ratio for visual alignment Clean histogram + top-layer signal line Use cases Multi-cycle momentum comparison Trend confirmation & divergence analysis Studying MACD resonance across time scales This indicator is intended for analytical and educational purposes.
Pine Script®指标
由flyingcow8提供
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points. Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short). ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands). MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below). How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish). Sell ​​(Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Pine Script®指标
由mehmetbezgincan提供
Risk & Lot Calculator PanelFXMANS Risk & Lot Panel Smart Risk Management Tool for TradingView - Overview FXMANS Risk & Lot Panel is a lightweight and professional risk management tool designed to help traders calculate position size (lot) and take-profit levels directly on the chart, without cluttering the screen. The panel is displayed as a minimal table in the top-right corner of the chart and automatically adapts to the currently opened symbol. This tool focuses on clarity, precision, and usability, making it suitable for scalpers, day traders, and swing traders. - Key Features Automatic Direction Detection The script can automatically determine BUY or SELL direction based on: Entry Price Stop Loss Price Logic: Stop Loss below Entry → BUY Stop Loss above Entry → SELL Manual override is available if auto direction is disabled. Risk-Based Lot Size Calculation Calculates position size based on: User-defined risk amount in USD Distance between Entry and Stop Loss Symbol-specific tick size and point value Ensures consistent risk management across all markets. Automatic Take Profit (RR Based) Take Profit is calculated automatically using a predefined Risk / Reward (RR) ratio. Supports both BUY and SELL scenarios. - Symbol-Aware Calculation Uses TradingView’s built-in symbol properties: syminfo.mintick syminfo.pointvalue Works correctly on: Forex Indices Metals Crypto - Minimal & Non-Intrusive UI Small, fixed panel located at the top-right corner Designed to avoid covering price action Clean FXMANS-style color palette - Safe Panel Size Control Panel size can be adjusted from settings: Small Medium Large Size changes are handled without modifying layout geometry, preventing UI bugs. - How It Works Enter your Entry Price and Stop Loss Price Define your Risk Amount ($) Set your desired Risk / Reward ratio The script automatically calculates: Trade Direction (BUY / SELL) Lot Size Take Profit Level All results are displayed instantly in the panel - Example Use Case Risk: $100 Entry: 1.0850 Stop Loss: 1.0800 RR: 2.0 - The panel will automatically display: Direction: BUY Lot Size adjusted to risk exactly $100 Take Profit at 2R - Important Notes Entry and Stop Loss prices must be valid (greater than zero). The tool does not place trades automatically. Calculations are for position sizing only and may vary slightly depending on broker specifications. - Disclaimer This script is intended for educational and analytical purposes only. Trading involves risk, and users are responsible for their own trading decisions. - Ideal For Traders who follow strict risk management rules Forex, crypto, and index traders Scalpers and intraday traders Anyone who wants clean and fast position sizing on TradingView
Pine Script®指标
由FXmans提供
Infinity Silver Cycle Map - 9-Point ProgrammableInfinity Silver Cycle Map — 9-Point Programmable + Inversion + 4MA is a time-structure overlay built to help visualize repeating rhythm in Silver by mapping a fixed-length cycle (default 42 bars) into 9 programmable pivot zones (P1–P9). This script does not predict price or claim performance. Its purpose is to make cycle timing visible and testable in replay by plotting consistent time-based reference points that traders can compare against historical swing behavior. What this script does Draws a repeating cycle framework You define a Cycle Length (bars) and 9 point offsets inside that cycle. The script then draws: Past cycles (faded) The current cycle The next cycle (projection) Highlights timing windows (optional) Each pivot can display a ± bar tolerance window so you can treat pivots as zones instead of exact “one-bar” events. Plots 4MA and 4MA (optional) A 4-period moving average and its prior value are plotted as a compact trend/inflection reference. This is included as context, not as a standalone entry/exit system. Displays a small status table Shows the script name, cycle settings, directional bias label, inversion state, and the anchor value. Optional symbol-lock If enabled, outputs can be hidden unless the chart symbol looks like Silver (e.g., XAG / SI), preventing accidental use on unrelated tickers. How it works (concepts behind the calculations) A) Cycle mapping (bar-count time structure) This indicator uses bar-based cycle segmentation: A “cycle” is treated as a repeating span of N bars (default 42). Pivot points are expressed as bar offsets inside that cycle (P1–P9). Each pivot is then projected backward (past cycles) and forward (next cycle) to create a repeating time grid. This is a time alignment tool: it measures where we are in the cycle and makes those timing landmarks visible. B) Directional state (minimal / stable) The Bias label (LONG / SHORT / STAND ASIDE) is derived from simple agreement checks: Price relative to a short mean (SMA of close) A smoothed RSI line vs its signal line If both conditions align bullish → LONG If both align bearish → SHORT Otherwise → STAND ASIDE C) Inversion toggle (presentation switch) “Invert Bias” flips LONG ↔ SHORT. This is provided to support alternative interpretations or testing workflows; it does not change the cycle map itself. How to use it Start by calibrating the cycle Set Cycle Length and P1–P9 offsets to match the time structure you observe in Silver. Use Past Cycles to visually verify whether swings tend to cluster near certain pivot zones. Treat pivots as timing zones Enable ± Timing Window and set tolerance (± bars) to account for real-world variation. Use pivots as “attention zones” where trend continuation or reversal is more likely to occur in time. Use 4MA as context The 4MA and 4MA lines help you see whether price is accelerating, flattening, or inflecting as a pivot zone approaches. Use Bias as a filter, not a promise Bias is best used as a lightweight “state label” when reviewing cycle behavior, not as a standalone trade trigger. Notes & limitations This is a time-based framework, so behavior will differ across timeframes and Silver tickers. Pivot placement is intentionally user-controlled; the script does not auto-optimize points. This tool provides structure and context; it does not place trades and does not provide financial advice.
Pine Script®指标
由Dinjin提供
ALPHA POINTS PRO [v1] [Takeda Trades 2026]ALPHA POINTS PRO 2026 © Takeda Trades by @TakedaTradesOfficial v1 01/28/2026 ════════════════════════════════════════════════════════ DESCRIPTION: ALPHA POINTS PRO v1.0 - 2026 © Takeda Trades ═════════════════════════════════════════════════════════ 🎯 COMPREHENSIVE TRADING GUIDE 1. INITIAL SETUP (FIRST STEPS) • Timeframe : Your trading chart (15M, 1H, etc.) • MTF Timeframe : Set 1-2 timeframes higher for trend • Trading Mode : Start with "Balanced" (±200) • Strategy Mode : "HEDGING" for flexibility • Label Mode : "Regular" for beginners • TILT TRIGGERS : Turn ON with "Balanced" sensitivity 2. SIGNAL RECOGNITION • BUY : Oscillator crosses BELOW negative levels (-100, -200, etc.) • SELL : Oscillator crosses ABOVE positive levels (+100, +200, etc.) • CLOSE : Oscillator crosses ZERO - exit position • Wait for label confirmation before entering 3. TILT TRIGGERS - RISK MANAGEMENT • Tilt Trigger 😬 → Review trade thesis • Position Panic 😱 → Reduce position size • Rage Trading 😡 → Exit immediately • Never add to losing positions when triggers active • Respect all warnings - they're your psychological stop-loss 4. POSITION MANAGEMENT • Break Even Line : Shows entry price - move stop-loss here when profitable • Signal Lines : Green = profit, Red = loss • Optimal Target Lines : Project to pivot highs/lows for TP zones • Bar Colors : Visual sequence indicator (green=BUY, red=SELL) • Monitor candle count and time elapsed labels 5. EXIT STRATEGIES • Primary : Wait for CLOSE signal (yellow circle) • Take Profit : At Optimal Target Line projections • Emergency : When TILT reaches "Position Panic" or higher • Trailing Stop : Move stop-loss once Break Even Line shows profit • Don't wait for perfect exit - protect capital first 6. MULTI-TIMEFRAME ANALYSIS • Check MTF Table for timeframe alignment • Higher TF sets direction, lower TF provides entries • Only trade when higher TF confirms direction • Avoid trading against strong higher TF bias • Use Table Style 3 for complete MTF overview 7. SEQUENCE ANALYTICS • Candle Count : Black labels show sequence duration • Time Elapsed : Yellow labels show HH:MM:SS • Sequences >50 candles often signal exhaustion • Compare current trade to historical averages • Long sequences may indicate trend strength 8. MARKET CONDITION ADAPTATION • Ranging Markets : All modes work well • Trending Markets : Use LONG/SHORT-only modes • High Volatility : Use conservative levels (±300-500) • Low Volatility : Use moderate levels (±150-250) • News Events : Consider maximum conservative settings 9. RISK MANAGEMENT RULES • Maximum Risk : 1-2% per trade • Always use stop-loss - no exceptions • Protect profits : Move to break-even when profitable • Respect TILT warnings without exception • Journal every trade for continuous improvement 10. COMMON MISTAKES TO AVOID • Adding to losing positions • Ignoring TILT trigger warnings • Trading against higher timeframe trend • Taking every signal without filtering • Not using stop-loss orders 11. QUICK START SETTINGS For Beginners : Trading Mode: Balanced (±200) Strategy Mode: HEDGING Label Mode: Regular TILT TRIGGERS: ON (Balanced sensitivity) Table Style: STYLE 3 Show All Signals: OFF For Advanced Traders : Trading Mode: Conservative (±250-400) Label Mode: Numbered or Points Show All Signals: ON for confluence Reverse Colors: ON for gradient clarity Advanced Time Stats: ON ═════════════════════════════════════════════════════════ ⚠️ CRITICAL REMINDERS • This is a counter-trend range oscillator - works best in ranging markets • Strong trends may produce consecutive same-direction signals • Always use stop-loss orders • The TILT TRIGGERS system is your psychological safeguard • No indicator is 100% accurate - risk management is essential • Paper trade first to understand system behavior ═════════════════════════════════════════════════════════ 2026 © Takeda Trades • Trading involves risk of loss • Past performance ≠ future results
Pine Script®指标
由TakedaTradesOfficial提供
Adaptive ML VWAP v1.0Overview Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading. It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?" The Adaptive ML Engine This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records: Deviation Depth (Normalized to ATR) Trend Slope (Is the trend steep or flat?) ADX (Trend Strength) VWAP Deviation (Relative Position) Time of Day (Session Context) When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time. Two Strategy Modes You can toggle the logic to suit your trading style: 1. Mean Reversion Mode (Default) "Fade The Move" Goal: Catch price at an exhaustion point returning to VWAP. Signal: Triggers when price touches a Smart Band and reverses back toward the center. k-NN Learning: Learns which conditions favor a snap-back. Best For: Ranging markets, Lunch hours, Choppy sessions. 2. Trend Following Mode "Ride The Move" Goal: Catch breakouts that are launching away from value. Signal: Triggers when price breaks out of the Inner Band (1.0). k-NN Learning: Learns which breakouts tend to extend to the Outer Bands. Best For: Morning Drives, News Events, Strong Trends. Visual Guide The indicator uses a Dynamic Gradient system to visualize risk/reward: Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries. Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively. Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here. "Fractal" Math Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization. A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart. Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking. Settings Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts. Lookback (Events): Manual override base value (Default: 100). Strategy Mode: Toggle between Mean Reversion and Trend Following. k-Neighbors: The number of similar past events to structurally compare (Default: 5). Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
Pine Script®指标
由Selfsimilarity提供
(Grit)Gold Market DashboardAll-in-One Global Market & Multi-Timeframe Dashboard This comprehensive TradingView dashboard is specifically designed for gold (XAUUSD) traders who need a "bird's-eye view" of global liquidity and price action across multiple dimensions. It consolidates critical market data into a single, sleek interface, eliminating the need to flip between tabs. Key Features Real-Time Global Market Sessions Stay synced with the world’s major financial hubs (Sydney, Tokyo, Hong Kong, Zurich, London, and New York). The dashboard tracks session status in real-time, highlighting which markets are currently open to help you anticipate surges in volatility and liquidity. Intelligent Auto-DST Calculation No more manual time-zone math. The system features an Automatic Daylight Saving Time (DST) adjustment for both US and EU regions, ensuring your session timings remain accurate year-round as seasons change. Multi-Timeframe (MTF) Data Matrix Analyze the market structure across up to 10 different timeframes simultaneously. This bird's-eye view allows you to spot trend alignments and divergences instantly without changing your main chart. Advanced Performance Metrics Go beyond simple price tracking. For every timeframe, the dashboard calculates: Price Diff & Points: Real-time movement relative to the candle open. Max/Min Points: Historical reach (High/Low) within the current candle, helping you identify exhaustion points and potential reversals.
Pine Script®指标
由Gritss-Quant提供
Super AccumulatorThis indicator is designed to make Accumulation/Distribution (A/D) movements more visible and easier to interpret. Under normal conditions, accumulation and distribution activity can be hard to spot on the chart, especially with short-term volume signals. To address this, we visualized the A/D difference as a histogram, allowing you to quickly assess buying and selling pressure. Additionally, the histogram is combined with the SuperTrend indicator to clearly show the trend direction on the panel. Buy signals are displayed as yellow circles, sell signals as red circles, providing an immediate view of both momentum and trend direction. When used alongside other indicators, this setup becomes a powerful tool for trend-following and volume-based strategies. Note: This indicator is not a standalone buy/sell signal; always use it with proper risk management.
Pine Script®指标
由onderarslantas107提供
MTT Liquidity Transmission Z-ScoreUnderstanding the Liquidity Transmission Indicator This indicator is a multi-asset dashboard designed to reveal the "invisible" plumbing of the financial markets. By normalizing four distinct macro drivers into Z-scores, it allows you to compare disparate data points—interest rates, volatility, and equity ratios—on a single unified scale (typically ranging from -3 to +3). How to Interpret the Data Expansion (Positive Z-Scores): When the lines move above the zero median, it signals easing conditions. For example, a rising US Policy Impulse suggests falling yields and a more accommodative Fed, providing a "tailwind" for risk assets. Contraction (Negative Z-Scores): When lines drop below zero, liquidity is tightening. A plummeting Credit Transmission line indicates widening corporate spreads, suggesting that banks are less willing to lend, which often precedes market corrections. The "Confluence" Signal: The strongest trading environments occur when all four lines align. If Speculative Excess and International Impulse are both surging alongside US policy, you are witnessing a global "Risk-On" regime. Trading Application Watch for divergences. If the S&P 500 is making new highs but the Liquidity Transmission lines are trending lower (becoming "overbought" or exhausted), the market is likely running on fumes. Conversely, look for "oversold" bounces from the -2.0 level as potential entry points for a mean-reversion swing trade.
Pine Script®指标
由mad_tom_trading提供