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Info de Vela 1m1-Minute Candle Info Dashboard (Real-Time) Overview This is a lightweight, real-time dashboard designed specifically for 1-minute (1m) scalping. It provides critical, non-lagging data about the current 1-minute candle, helping you make split-second decisions on stop-loss placement and risk assessment.The table updates on every tick without flickering or repainting. Key Features (Real-Time Table) The dashboard displays three key metrics about the current 1m candle:Time Remaining: A simple countdown timer showing the exact seconds remaining until the current candle closes (e.g., "00:34").Dist. to Extreme (Ticks): This is the core function for scalping. It calculates the distance (in ticks) from the current price to the furthest extreme of the candle (i.e., max(high - close, close - low)). This is ideal for traders who base their stop-loss on the current candle's range.Total Candle Range (Ticks): Displays the full high-to-low range of the current candle in ticks, giving you an instant read on volatility. How to Use This tool is designed to solve one problem: speed.Instead of manually measuring the distance for your stop-loss on every candle, you can instantly read the exact tick value from the table. This allows you to calculate your position size (lotage) much faster, which is essential in a fast-moving 1m environment. REQUIREMENT:This indicator is designed to work ONLY on the 1-minute (1m) timeframe. It will display an error and show no data on any other chart.
Pine Script®指标
由igng44提供
VWAP Kalman FilterOverview This indicator applies Kalman filtering techniques to Volume Weighted Average Price (VWAP) calculations, providing a statistically optimized approach to VWAP analysis. The Kalman filter reduces noise while maintaining responsiveness to genuine price movements, addressing common VWAP limitations in volatile or low-volume conditions. Technical Implementation Kalman Filter Mathematics The indicator implements a state-space model for VWAP estimation: - Prediction Step: x̂(k|k-1) = x̂(k-1|k-1) + v(k-1) - Update Step: x̂(k|k) = x̂(k|k-1) + K(k) - Kalman Gain: K(k) = P(k|k-1) / (P(k|k-1) + R) Where: - x̂ = estimated VWAP state - K = Kalman gain (adaptive weighting factor) - P = error covariance - R = measurement noise - Q = process noise - v = optional velocity component Core Components Dual VWAP System - Standard VWAP: Traditional volume-weighted calculation - Kalman-filtered VWAP: Noise-reduced estimation with optional velocity tracking - Real-time divergence measurement between filtered and unfiltered values Adaptive Filtering - Process Noise (Q): Controls adaptation to price changes (0.001-1.0) - Measurement Noise (R): Determines smoothing intensity (0.01-5.0) - Optional velocity tracking for momentum-based filtering Multi-Timeframe Anchoring - Session, Weekly, Monthly, Quarterly, and Yearly anchor periods - Automatic Kalman state reset on anchor changes - Maintains VWAP integrity across timeframes Features Visual Components - Dual VWAP Lines: Compare filtered vs. unfiltered in real-time - Dynamic Bands: Three-level deviation bands (1σ, 2σ, 3σ) - Trend Coloring: Automatic color adaptation based on price position - Cloud Visualization: Highlights divergence between standard and Kalman VWAP - Signal Markers: Crossover and band-touch indicators Trading Signals - VWAP crossover detection with Kalman filtering - Band touch alerts at multiple standard deviation levels - Velocity-based momentum confirmation (optional) - Divergence warnings when filtered/unfiltered values separate Information Display - Real-time VWAP values (both standard and filtered) - Trend direction indicator - Velocity/momentum reading (when enabled) - Divergence percentage calculation - Anchor period display Input Parameters VWAP Settings - Anchor Period: Choose calculation reset period - Band Multipliers: Customize deviation band distances - Display Options: Toggle standard VWAP and bands Kalman Parameters - Length: Base period for calculations (5-200) - Process Noise (Q: Higher values increase responsiveness - Measurement Noise (R): Higher values increase smoothing - Velocity Tracking: Enable momentum-based filtering Visual Controls - Toggle filtered/unfiltered VWAP display - Band visibility options - Signal markers on/off - Cloud fill between VWAPs - Bar coloring by trend Use Cases Noise Reduction Particularly effective during: - Low volume periods (pre-market, lunch hours) - Volatile market conditions - Fast-moving markets where standard VWAP whipsaws Trend Identification - Cleaner trend signals with reduced false crosses - Earlier trend detection through velocity component - Confirmation through divergence analysis Support/Resistance - Filtered VWAP provides more stable S/R levels - Bands adapt to filtered values for better zone identification - Reduced false breakout signals Technical Advantages 1. Optimal Estimation: Mathematically optimal under Gaussian noise assumptions 2. Adaptive Response: Self-adjusting to market conditions 3. Predictive Element: Velocity component provides forward-looking insight 4. Noise Immunity: Superior noise rejection vs. simple moving average smoothing Limitations - Assumes linear price dynamics - Requires parameter optimization for different instruments - May lag during sudden volatility regime changes - Not suitable as standalone trading system Mathematical Background Based on control systems theory, the Kalman filter provides recursive Bayesian estimation originally developed for aerospace applications. This implementation adapts the algorithm specifically for financial time series, maintaining VWAP's volume-weighted properties while adding statistical filtering. Comparison with Standard VWAP Standard VWAP Issues Addressed: - Choppy behavior in low volume - Whipsaws around VWAP line - Lag in trend identification - Noise in deviation bands Kalman VWAP Benefits: - Smooth yet responsive line - Fewer false signals - Optional momentum tracking - Statistically optimized filtering Alert Conditions The indicator includes several pre-configured alert conditions: - Bullish/Bearish VWAP crosses - Upper/Lower band touches - High divergence warnings - Velocity shifts (if enabled) --- This open-source indicator is provided as-is for educational and trading purposes. No guarantees are made regarding trading performance. Users should conduct their own testing and validation before using in live trading.
Pine Script®指标
由yundore提供
[AA] - Market Valuation (Mean Based) - Market Valuation (Mean Based) What it does This indicator estimates whether price is overvalued, undervalued, or fairly valued relative to its structural mean across multiple lookback windows. It builds a single normalized oscillator from short-, mid-, and long-term ranges so traders can quickly see when price is stretched away from equilibrium. This is not a mashup of existing tools. It’s a custom mean-deviation model that aggregates multi-window range positioning into one score. How it works (concepts) For each lookback length (13, 25, 30, 50, 100, 200): Range & midpoint: Highest high H and lowest low L. Structural midpoint Mid = (H + L)/2. Normalized deviation: Dev = (Close − Mid) / (H − L) → location of price within its own range. Aggregation: The oscillator z_struct is the average of the deviations from the five windows. Result: a smoothed, dimensionless value (roughly −1 to +1 in typical markets) showing multi-horizon displacement from the mean. Plots & levels Oscillator (area): z_struct Reference lines: +0.40 (OB), 0.00 (equilibrium), −0.30 (OS) Coloring: Red when z_struct > OB (extended above mean) Blue when z_struct < OS (extended below mean) White in between Suggested use Mean reversion context: Fade extremes in range-bound conditions; take profits into OB/OS. Trend awareness: In strong trends, extremes can persist—use levels as exhaustion context rather than standalone entry. Filter/confirm: Combine with your trend filter or structure tools to time pullbacks and avoid chasing extended moves. Inputs Lookbacks: 13, 25, 30, 50, 100, 200 Thresholds: OB = 0.40, OS = −0.30 Notes & limitations Works on the current symbol/timeframe only; no security() calls and no repainting beyond normal bar completion. In very tight or flat ranges (H ≈ L), normalized deviations can become sensitive; consider longer windows or higher timeframes. This is an indicator, not a strategy. No signals are generated; use with risk management. Originality statement This script implements an original, multi-window mean-deviation aggregation. It does not replicate a built-in or a public indicator; its purpose is to quantify cross-horizon valuation in a single, normalized measure.
Pine Script®指标
由AbvAvg_提供
Index Weighted Returns [SS]This is the index weighted return indicator. It supports a few ETFs, including: SPY/SPX QQQ/NDX ARKK SMH UFO XBI QTUM What it does is it takes the top, approximately 40, of the most heavily weighted tickers on the ETF, monitors their returns using the request security function, and then uses their weight to calculate the synthetic returns of the ETF of interest. For example, in the chart we have SMH. The indicator is looking at the top weighted tickers of SMH, calculating their returns, adjusting it for their individual weight on SMH and then predicting the expected return of SMH based on the weighing and holding's returns themselves. How to Use it The indicator is pretty straight forward, you select which ever index you are on and your desired timeframe (you can do as low as 30-Minutes or as high as monthly or quarterly). The indicator will then retrieve the top holdings for that ticker, their corresponding weights and calculate the expected daily return based on the weight and return of these tickers. It will plot this return for you on the chart. Other Options There is an optional table for you to view the actual weight, ticker composition and period returns for each of the top x tickers for an index. You can simply toggle "Show Table" in the settings menu, and it will show you the list of all tickers included, their period returns and their weight on the ETF. Tips for Use Works well to see when an index may be over the actual top weighted tickers, implying a pullback/sell, or under. For example: SPY today fell well below its top tickers and is currently rallying back up to the expected close range. You can see in the primary chart, SMH fell below and returned to its balance, being at the expected close range based on its component tickers. That is the indicator! Its simple but powerful! Hope you enjoy and as always, safe trades!
Pine Script®指标
由Steversteves提供
Dashboard — Vol & PriceDashboard for traders Indicator Description 1. Prev Day High What it shows: the previous trading day's high. Why it shows: a resistance level. Many traders watch to see if the price will hold above or below this level. A breakout can signal buying strength. 2. Prev Day Low What it shows: the previous day's low. Why it shows: a support level. If the price breaks downwards, it signals weakness and a possible continuation of the decline. 3. Today What it shows: The difference between the current price and yesterday's close (in absolute values ​​and as a percentage). Color: green for an increase, red for a decrease. Why it shows: immediately shows how strong a gap or movement is today relative to yesterday. This is an indicator of current momentum. 4. ADR, % (Average Daily Range) What it shows: Average daily range (High – Low), expressed as a percentage of the closing price, for the selected period (default 7 days). Why it's useful: To understand the "normal" volatility of an instrument. For example, if the ADR is 3%, then a 1% move is small, while a 6% move is very large. 5. ATR (Average True Range) What it shows: Average fluctuation range (including gaps), in absolute points, for the specified period (default 7 days). Why it's useful: A classic volatility indicator. Useful for setting stops, calculating position sizes, and identifying "noise" movements. 6. ATR (Today), % What it shows: How much the current movement today (from yesterday's close to the current price) represents in % of the average ATR. Why it shows: Shows whether the instrument has "played out" its average range. If the value is already >100%, there is a high probability that the movement will begin to slow. 7. Vol (Today) What it shows: Current trading volume for the day (in millions/billions). Comparison with yesterday as a percentage (for example: 77.32M (-52.78%)). Color: green if the volume is higher than yesterday; red if lower. Why it shows:Quickly shows whether the market is active today. Volume = fuel for price movement. 8. Avg Vol (20d) What it shows: Average daily volume over the last 20 trading days. Why it's useful:"normal" activity level. It's a convenient backdrop for assessing today's turnover. 9. Rel. Vol (Today), % (Relative Volume) What it shows: Deviation of the current volume from the average (20 days). Formula: `(today / average - 1)` * 100`. +30% = volume 30% above average, -40% = 40% below average. Color: green for +, red for –. Why it's useful:A key indicator for a trader. If RelVol > 100% (green), the market is "charged," and the movement is more significant. If low, activity is weak and movements are less reliable. 10. Normalized RS (Relative Strength) What it shows: the relative strength of a stock to a selected benchmark (e.g., SPY), normalized by the period (default 7 days). 100 = same result as the market. > 100 = the stock is stronger than the index. <100 = weaker than the index. Why it's needed: filtering ideas. Strong stocks rise faster when the market rises, weak stocks fall more sharply. This helps trade in the direction of the trend and select the best candidates. In summary: Prev High / Low — key support and resistance levels. Today — an instant understanding of the current momentum. ADR and ATR — volatility and potential movement. ATR (Today) — how much the instrument has already "run." Vol + Rel.Vol — activity and confirmation of the movement's strength. RS — selecting strong/weak leaders against the market.
Pine Script®指标
由finrangecom提供
Dance With Wolves VN PublicDance With Wolves VN Indicator kết hợp EMA 9/21 để vào lệnh nhanh, thêm EMA 20/50/200 để xem trend lớn. Tự tạo Entry, SL, TP1, TP2, TP3 theo ATR. Vẽ luôn 3 mức kháng cự (R1–R3) và 3 mức hỗ trợ (S1–S3) từ pivot gần nhất. Dùng tốt cho khung 1m–15m với crypto, stock, futures. Dance With Wolves VN — Smart EMA Strategy This indicator combines EMA 20/50/200 trend tracking, automatic Buy/Sell signals, Take Profit & Stop Loss levels, and Support/Resistance zones. It helps traders identify clean entries, manage risk with visual TP/SL targets, and follow market trends with clarity. Created by Dance With Wolves VN — a community project for traders who value discipline, teamwork, and precision.
Pine Script®指标
由tungtran2006提供
Anchored ATH Drawdown LevelsThe Anchored ATH Drawdown Levels plots horizontal lines from a chosen anchor price (ATH), showing potential pullback zones at set percentage drops below it. This indicator's use lies in its anchored ATH framework, which rapidly visualizes precise drawdown levels as dynamic levels of interest or price targets enabling traders to anticipate pullback depths and potential reversal levels without manual calculations. Pick "True ATH" for the all-time high or "Period ATH" for anchored highs reset weekly, monthly, or quarterly. Lines stretch right for a cleaner visual. Key Features Anchoring: True ATH (lifetime max) or Period ATH (resets on 1W/1M/3M intervals). Drawdown Levels: 8 adjustable levels (defaults: -5%, -10%, -15%, -20% on; -25% to -50% off). Toggle each, set drop % (0.1-99.9), pick color, style (solid/dashed/dotted), width (1-3). ATH Line: Optional ATH line with custom color, style, width. Unified Look: Global overrides for all levels' color, style, width. Labels: Show % drops (with/without prices) via text boxes or full tags; sizes from tiny to large. Projection: Lines extend 5-100 bars right (default 20). Settings Anchor: Mode and timeframe. Display: Toggle levels/ATH, set extension. Labels: Style (text/full/none), size, price display. Global/ATH/Levels: Colors, styles, widths (per-level or shared). How to Use Load on chart (overlays prices; handles up to 500 lines). Choose anchor for your high. Tune levels for key pullbacks (e.g., -5% minor, -20% major). Customize visuals where the lines update on new peaks.
Pine Script®指标
由bhx10提供
Multi-Method Candle Repainter by Mustang Algo# 🎯 Candle Repainter - Price Direction by Mustang Algo ## Overview A powerful and intuitive indicator that repaints candles in real-time based on price direction detection. This tool helps traders quickly identify market trends by coloring candles according to bullish, bearish, or neutral momentum using multiple proven technical analysis methods. ## 🌟 Key Features ### 5 Detection Methods Choose from multiple sophisticated algorithms to detect price direction: 1. **EMA Trend** - Compares price against Exponential Moving Average with momentum confirmation (price above EMA + upward movement) 2. **Price vs SMA** - Classic crossover method using Simple Moving Average (price position relative to SMA) 3. **Momentum** - Pure momentum-based detection for aggressive signals (rate of price change) 4. **Higher High/Lower Low** - Structure-based analysis identifying swing points and price patterns 5. **Supertrend** - Popular ATR-based trend following system for reliable trend identification ### Visual Features - 🟢 **Green Candles** - Bullish trend detected - 🔴 **Red Candles** - Bearish trend detected - ⚪ **Gray Candles** - Neutral/indecisive market - 🔺 **Triangle Signals** - Mark trend changes (optional, clean by default) - 📊 **Background Coloring** - Subtle background highlighting for zones - 📈 **Overlay Indicators** - Display the chosen MA/Supertrend line for reference ### Smart Signal System - **Default Mode**: Shows triangles ONLY on trend changes (cleaner charts, less noise) - **All Candles Mode**: Display signals on every bullish/bearish candle (more aggressive) - Fully customizable signal visibility - Real-time statistics dashboard ## ⚙️ Customizable Parameters ### Method-Specific Settings - **EMA Length** (default: 20) - For EMA Trend method - adjust based on your timeframe - **SMA Length** (default: 50) - For Price vs SMA method - classic period for trend detection - **Momentum Period** (default: 14) - For Momentum method - sensitivity control - **HH/LL Lookback** (default: 10) - For Higher High/Lower Low method - swing detection range - **ATR Period** (default: 10) - For Supertrend method - volatility measurement period - **ATR Multiplier** (default: 3.0) - For Supertrend method - trend sensitivity control ### Visual Controls - Toggle signal display on/off - Choose between change signals or all candles - Background highlighting control - Clean, minimalist interface ## 📊 Real-Time Dashboard A compact information table displays: - Current trend direction (BULLISH 🔼 / BEARISH 🔽 / NEUTRAL ➡️) - Active detection method - Creator credit (Mustang Algo) - Real-time status updates ## 🔔 Built-in Alerts Set up automated alerts for: - Bullish trend changes - "Switch to BULLISH trend" - Bearish trend changes - "Switch to BEARISH trend" - Get notified on any device when market direction changes ## 💡 How to Use ### For Day Traders - Use **EMA Trend** with shorter periods (10-20) - Enable "Show on all candles" for continuous feedback - Combine with volume for confirmation - Best on 5m-15m timeframes ### For Swing Traders - Use **Supertrend** or **Price vs SMA** with longer periods (50-200) - Keep default "changes only" mode for cleaner entries - Perfect for multi-timeframe analysis - Best on 1H-4H-Daily timeframes ### For Scalpers - Use **Momentum** method for fastest signals - Lower timeframes (1m-5m) - Combine with support/resistance levels - Quick entries on trend changes ### For Position Traders - Use **Higher High/Lower Low** on higher timeframes - Weekly or Daily charts - Focus on structural changes in the market ## 🎨 Best Practices 1. **Multiple Timeframes**: Always confirm direction on a higher timeframe before entering 2. **Combine Methods**: Test different detection methods for your specific asset and timeframe 3. **Risk Management**: Always use stop-losses - don't rely solely on color changes 4. **Backtesting**: Test parameters on historical data before live trading 5. **Context Matters**: Use with support/resistance, volume, and market structure 6. **No Holy Grail**: This is a tool to assist your analysis, not a standalone trading system ## ⚠️ Important Notes - This is a **repainting indicator** - signals may adjust as new price data arrives (by design for real-time trend following) - Best used for **trend confirmation and direction bias**, not as standalone entry/exit signals - Different methods work better in different market conditions (trending vs ranging) - Always combine with proper risk management and position sizing - No indicator is perfect - false signals can occur, especially in choppy/ranging markets ## 📈 Recommended Settings by Market ### Crypto (High Volatility) - Method: **Supertrend** - ATR Period: 10 - ATR Multiplier: 3.0 - Timeframe: 15m - 4H - Works well in trending crypto markets ### Forex (Trending Markets) - Method: **EMA Trend** or **Price vs SMA** - Period: 20-50 - Timeframe: 1H - Daily - Excellent for major pairs ### Stocks (Moderate Volatility) - Method: **Higher High/Lower Low** - Lookback: 10-15 - Timeframe: Daily - Weekly - Great for swing trading stocks ### Indices (Clear Trends) - Method: **Price vs SMA** - SMA Length: 50-200 - Timeframe: 4H - Daily - Classic trend following on indices ### Commodities - Method: **Supertrend** - ATR Period: 10-14 - Timeframe: 1H - Daily - Adapts well to commodity volatility ## 🚀 Quick Start Guide 1. Add indicator to your chart 2. Select your preferred detection method from the dropdown 3. Adjust parameters based on your timeframe and market 4. Observe candle colors for trend direction 5. Look for triangle signals on trend changes 6. Set up alerts for automated notifications 7. Combine with your existing trading strategy ## 🔧 Advanced Tips - **Combining with other indicators**: Works great with RSI, MACD, or volume indicators - **Filter false signals**: Use on higher timeframe to filter lower timeframe noise - **Trend confirmation**: Wait for 2-3 consecutive colored candles before entry - **Exit strategy**: Consider exiting when candle color changes or use fixed targets - **Avoid ranging markets**: This indicator performs best in trending conditions ## 📚 Educational Value This indicator teaches: - How different technical methods identify trends - The concept of trend following vs momentum trading - The importance of trend direction in trading decisions - How to combine multiple timeframes for better analysis ## 🏆 Credits **Created by Mustang Algo** Version 1.0 - November 2025 For the trader who values simplicity, clarity, and effective trend detection. ## 📞 Support & Feedback If you find this indicator useful: - Leave a comment with your feedback - Share your results and optimal settings - Suggest improvements or additional features - Report any bugs or issues --- ## Tags `trend` `candles` `repainter` `moving-average` `supertrend` `momentum` `signals` `alerts` `price-action` `trend-following` `daytrading` `swingtrading` `multi-method` `beginner-friendly` ## Category **Trend Analysis / Candles** ## License Open source - Free to use and modify for personal trading --- *Remember: Trading involves risk. Always use proper risk management and never risk more than you can afford to lose. This indicator is a tool to assist your analysis, not financial advice.*
Pine Script®指标
由MustangAlgo提供
TraderMathLibrary "TraderMath" A collection of essential trading utilities and mathematical functions used for technical analysis, including DEMA, Fisher Transform, directional movement, and ADX calculations. dema(source, length)   Calculates the value of the Double Exponential Moving Average (DEMA).   Parameters:      source (float) : (series int/float) Series of values to process.      length (simple int) : (simple int) Length for the smoothing parameter calculation.   Returns: (float) The double exponentially weighted moving average of the `source`. roundVal(val)   Constrains a value to the range .   Parameters:      val (float) : (float) Value to constrain.   Returns: (float) Value limited to the range . fisherTransform(length)   Computes the Fisher Transform oscillator, enhancing turning point sensitivity.   Parameters:      length (int) : (int) Lookback length used to normalize price within the high-low range.   Returns: (float) Fisher Transform value. dirmov(len)   Calculates the Plus and Minus Directional Movement components (DI+ and DI−).   Parameters:      len (simple int) : (int) Lookback length for directional movement.   Returns: (float ) Array containing . adx(dilen, adxlen)   Computes the Average Directional Index (ADX) based on DI+ and DI−.   Parameters:      dilen (simple int) : (int) Lookback length for directional movement calculation.      adxlen (simple int) : (int) Smoothing length for ADX computation.   Returns: (float) Average Directional Index value (0–100).
Pine Script®库
由tkarolak提供
Smart Flow Tracker [The_lurker] Smart Flow Tracker (SFT): Advanced Order Flow Tracking Indicator Overview Smart Flow Tracker (SFT) is an advanced indicator designed for real-time tracking and analysis of order flows. It focuses on detecting institutional patterns, massive orders, and potential reversals through analysis of lower timeframes (Lower Timeframe) or live ticks. It provides deep insights into market behavior using a multi-layered intelligent detection system and a clear visual interface, giving traders a competitive edge. SFT focuses on trade volumes, directions, and frequencies to uncover unusual activity that may indicate institutional intervention, massive orders, or manipulation attempts (traps). Indicator Operation Levels SFT operates on three main levels: 1. Microscopic Monitoring: Tracks every trade at precise timeframes (down to one second), providing visibility not available in standard timeframes. 2. Advanced Statistical Analysis: Calculates averages, deviations, patterns, and anomalies using precise mathematical algorithms. 3. Behavioral Artificial Intelligence: Recognizes behavioral patterns such as hidden institutional accumulation, manipulation attempts and traps, and potential reversal points. Key Features SFT features a set of advanced functions to enhance the trader's experience: 1. Intelligent Order Classification System: Classifies orders into six categories based on size and pattern: - Standard: Normal orders with typical size. - Significant 💎: Orders larger than average by 1.5 times. - Major 🔥: Orders larger than average by 2.5 times. - Massive 🐋: Orders larger than average by 3 times. - Institutional 🏛️: Consistent patterns indicating institutional activity. - Reversal 🔄: Large orders indicating direction change. - Trap ⚠️: Patterns that may be price traps. 2. Institutional Patterns Detection: Tracks sequences of similar-sized orders, detects organized institutional activity, and is customizable (number of trades, variance ratio). 3. Reversals Detection: Compares recent flows with previous ones, detects direction shifts from up to down or vice versa, and operates only on large orders (Major/Massive/Institutional). 4. Traps Detection: Identifies sequences of large orders in one direction, followed by an institutional order in the opposite direction, with early alerts for false moves. 5. Flow Delta Bar: Displays the difference between buy and sell volumes as a percentage for balance, with instant updates per trade. 6. Dynamic Statistics Panel: Displays overall buy and sell ratios with real-time updates and interactive colors. How It Works and Understanding SFT relies on logical sequential stages for data processing: A. Data Collection: Uses the `request.security_lower_tf()` function to extract data from a lower timeframe (like 1S) even on a higher timeframe (like 5D). For each time unit, it calculates: - Adjusted Volume: Either normal volume or "price-weighted volume" (hlc3 * volume) based on user choice. - Trade Direction: Compared to previous close (rise → buy, fall → sell). B. Building Temporary Memory: Maintains a dynamic list (sizeHistory) of the last 100 trade sizes, continuously calculating the moving average (meanSize). C. Intelligent Classification: Compares each new trade to the average: - > 1.5 × average → Significant. - > 2.5 × average → Major. - > 3.0 × average → Massive. - Institutional Patterns Check: A certain number of trades (e.g., 5) with a specified variance ratio (±5%) → Institutional. D. Advanced Detection: - Reversal: Compares buy/sell totals in two consecutive periods. - Trap: Sequence of large trades in one direction followed by an opposite institutional trade. E. Display and Alerts: Results displayed in an automatically updated table, with option to enable alerts for notable events. Settings (Fully Customizable) SFT offers extensive options to adapt to the trader's needs: A. Display Settings: - Language: English / Arabic. - Table Position: 9 options (e.g., Top Right, Middle Right, Bottom Left). - Display Size: Tiny / Small / Normal / Large. - Max Rows: 10–100. - Enable Flow Delta Bar: Yes / No. - Enable Statistics Panel: Yes / No (displays buy/sell % ratio). B.- Technical Settings: - Data Source: Lower Timeframe / Live Tick (simulation). - Timeframe: Optional (e.g., 1S, 5S, 1). - Calculation Type: Volume / Price Volume. C. Intelligent Detection System: - Enable Institutional Patterns Detection. - Pattern Length: 3–20 trades. - Allowed Variance Ratio: 1%–20%. - Massive Orders Detection Factor: 2.0–10.0. D. Classification Criteria: - Significant Orders Factor: 1.2–3.0. - Major Orders Factor: 2.0–5.0. E. **Advanced Detection**: - Enable Reversals Detection (with review period). - Enable Traps Detection (with minimum sequence limit). F. Alerts System: - Enable for each type: Massive orders, institutional patterns, reversals, traps, severe imbalance (60%–90%). G. Color System: Manual customization for each category: - Standard Buy 🟢: Dark gray green. - Standard Sell 🔴: Dark gray red. - Significant Buy 🟢: Medium green. - Significant Sell 🔴: Medium red. - Major Orders 🟣: Purple. - Massive Orders 🟠: Orange. - Institutional 🟦: Sky blue. - Reversal 🔵: Blue. - Trap 🟣: Pink-purple. Target Audiences SFT benefits a wide range of traders and investors: 1. Scalpers: Instant detection of large orders, liquidity points identification, avoiding traps in critical moments. 2. Day Traders: Tracking smart money footprint, determining real session direction, early reversals detection. 3. Swing Traders: Confirming trend strength, detecting institutional accumulation/distribution, identifying optimal entry points. 4. Investors: Understanding true market sentiments, avoiding entry at false peaks, identifying real value zones. ⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses. Smart Flow Tracker (SFT): مؤشر متقدم لتتبع تدفقات الأوامر نظرة عامة Smart Flow Tracker (SFT) مؤشر متقدم مصمم لتتبع وتحليل تدفقات الأوامر في الوقت الفعلي. يركز على كشف الأنماط المؤسسية، الأوامر الضخمة، والانعكاسات المحتملة من خلال تحليل الأطر الزمنية الأقل (Lower Timeframe) أو التيك الحي. يوفر رؤية عميقة لسلوك السوق باستخدام نظام كشف ذكي متعدد الطبقات وواجهة مرئية واضحة، مما يمنح المتداولين ميزة تنافسية. يركز SFT على حجم الصفقات، اتجاهها، وتكرارها لكشف النشاط غير العادي الذي قد يشير إلى تدخل مؤسسات، أوامر ضخمة، أو محاولات تلاعب (فخاخ). مستويات عمل المؤشر يعمل SFT على ثلاثة مستويات رئيسية: 1. المراقبة المجهرية: يتتبع كل صفقة على مستوى الأطر الزمنية الدقيقة (حتى الثانية الواحدة)، مما يوفر رؤية غير متوفرة في الأطر الزمنية العادية. 2. التحليل الإحصائي المتقدم: يحسب المتوسطات، الانحرافات، الأنماط، والشذوذات باستخدام خوارزميات رياضية دقيقة. 3. الذكاء الاصطناعي السلوكي: يتعرف على أنماط سلوكية مثل التراكم المؤسسي المخفي، محاولات التلاعب والفخاخ، ونقاط الانعكاس المحتملة. الميزات الرئيسية يتميز SFT بمجموعة من الوظائف المتقدمة لتحسين تجربة المتداول: 1. نظام تصنيف الأوامر الذكي: يصنف الأوامر إلى ست فئات بناءً على الحجم والنمط: - Standard (قياسي)**: أوامر عادية بحجم طبيعي. - Significant 💎 (مهم)**: أوامر أكبر من المتوسط بـ1.5 ضعف. - Major 🔥 (كبير)**: أوامر أكبر من المتوسط بـ2.5 ضعف. - Massive 🐋 (ضخم)**: أوامر أكبر من المتوسط بـ3 أضعاف. - Institutional 🏛️ (مؤسسي)**: أنماط متسقة تشير إلى نشاط مؤسسي. - Reversal 🔄 (انعكاس)**: أوامر كبيرة تشير إلى تغيير اتجاه. - Trap ⚠️ (فخ)**: أنماط قد تكون فخاخًا سعرية. 2. كشف الأنماط المؤسسية: يتتبع تسلسل الأوامر المتشابهة في الحجم، يكشف النشاط المؤسسي المنظم، وقابل للتخصيص (عدد الصفقات، نسبة التباين). 3. كشف الانعكاسات: يقارن التدفقات الأخيرة بالسابقة، يكشف تحول الاتجاه من صعود إلى هبوط أو العكس، ويعمل فقط على الأوامر الكبيرة (Major/Massive/Institutional). 4. كشف الفخاخ: يحدد تسلسل أوامر كبيرة في اتجاه واحد، يليها أمر مؤسسي في الاتجاه المعاكس، مع تنبيه مبكر للحركات الكاذبة. 5. شريط دلتا التدفق: يعرض الفرق بين حجم الشراء والبيع كنسبة مئوية للتوازن، مع تحديث فوري لكل صفقة. 6. لوحة إحصائيات ديناميكية: تعرض نسبة الشراء والبيع الإجمالية مع تحديث لحظي وألوان تفاعلية. طريقة العمل والفهم يعتمد SFT على مراحل منطقية متسلسلة لمعالجة البيانات: أ. جمع البيانات: يستخدم دالة `request.security_lower_tf()` لاستخراج بيانات من إطار زمني أدنى (مثل 1S) حتى على إطار زمني أعلى (مثل 5D). لكل وحدة زمنية، يحسب: - الحجم المعدّل: إما الحجم العادي (volume) أو "الحجم المرجّح بالسعر" (hlc3 * volume) حسب الاختيار. - اتجاه الصفقة: مقارنة الإغلاق الحالي بالسابق (ارتفاع → شراء، انخفاض → بيع). ب. بناء الذاكرة المؤقتة: يحتفظ بقائمة ديناميكية (sizeHistory) لآخر 100 حجم صفقة، ويحسب المتوسط المتحرك (meanSize) باستمرار. ج. التصنيف الذكي: يقارن كل صفقة جديدة بالمتوسط: - > 1.5 × المتوسط → Significant. - > 2.5 × المتوسط → Major. - > 3.0 × المتوسط → Massive. - فحص الأنماط المؤسسية: عدد معين من الصفقات (مثل 5) بنسبة تباين محددة (±5%) → Institutional. د. الكشف المتقدم: - الانعكاس: مقارنة مجموع الشراء/البيع في فترتين متتاليتين. - الفخ: تسلسل صفقات كبيرة في اتجاه واحد يتبعها صفقة مؤسسية معاكسة. هـ. العرض والتنبيه: عرض النتائج في جدول محدّث تلقائيًا، مع إمكانية تفعيل تنبيهات للأحداث المميزة. لإعدادات (قابلة للتخصيص بالكامل) يوفر SFT خيارات واسعة للتكييف مع احتياجات المتداول: أ. إعدادات العرض: - اللغة: English / العربية. - موقع الجدول: 9 خيارات (مثل Top Right, Middle Right, Bottom Left). - حجم العرض: Tiny / Small / Normal / Large. - الحد الأقصى للصفوف: 10–100. - تفعيل شريط دلتا التدفق: نعم / لا. - تفعيل لوحة الإحصائيات: نعم / لا (تعرض نسبة الشراء/البيع %). ب. الإعدادات التقنية: - مصدر البيانات: Lower Timeframe / Live Tick (محاكاة). - الإطار الزمني: اختياري (مثل 1S, 5S, 1). - نوع الحساب: Volume / Price Volume. ج. نظام الكشف الذكي: - تفعيل كشف الأنماط المؤسسية. - طول النمط: 3–20 صفقة. - نسبة التباين: 1%–20%. - عامل كشف الأوامر الضخمة: 2.0–10.0. د. معايير التصنيف: - عامل الأوامر المهمة: 1.2–3.0. - عامل الأوامر الكبرى: 2.0–5.0. هـ. الكشف المتقدم: - تفعيل كشف الانعكاسات (مع فترة مراجعة). - تفعيل كشف الفخاخ (مع حد أدنى للتسلسل). و. نظام التنبيهات: - تفعيل لكل نوع: أوامر ضخمة، أنماط مؤسسية، انعكاسات، فخاخ، عدم توازن شديد (60%–90%). ز. نظام الألوان**: تخصيص يدوي لكل فئة: - شراء قياسي 🟢: أخضر رمادي داكن. - بيع قياسي 🔴: أحمر رمادي داكن. - شراء مهم 🟢: أخضر متوسط. - بيع مهم 🔴: أحمر متوسط. - أوامر كبرى 🟣: بنفسجي. - أوامر ضخمة 🟠: برتقالي. - مؤسسي 🟦: أزرق سماوي. - انعكاس 🔵: أزرق. - فخ 🟣: وردي-أرجواني. الفئات المستهدفة يستفيد من SFT مجموعة واسعة من المتداولين والمستثمرين: 1. السكالبرز (Scalpers): كشف لحظي للأوامر الكبيرة، تحديد نقاط السيولة، تجنب الفخاخ في اللحظات الحرجة. 2. المتداولون اليوميون (Day Traders): تتبع بصمة الأموال الذكية، تحديد اتجاه الجلسة الحقيقي، كشف الانعكاسات المبكرة. 3. المتداولون المتأرجحون (Swing Traders): تأكيد قوة الاتجاه، كشف التراكم/التوزيع المؤسسي، تحديد نقاط الدخول المثلى. 4. المستثمرون: فهم معنويات السوق الحقيقية، تجنب الدخول في قمم كاذبة، تحديد مناطق القيمة الحقيقية. ⚠️ إخلاء مسؤولية: هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Pine Script®指标
由The_lurker提供
4
Risk & Position DashboardRisk & Position Dashboard Overview The Risk & Position Dashboard is a comprehensive trading tool designed to help traders calculate optimal position sizes, manage risk, and visualize potential profit/loss scenarios before entering trades. This indicator provides real-time calculations for position sizing based on account size, risk percentage, and stop-loss levels, while displaying multiple take-profit targets with customizable risk-reward ratios. Key Features Position Sizing & Risk Management: Automatic position size calculation based on account size and risk percentage Support for leveraged trading with maximum leverage limits Fractional shares support for brokers that allow partial share trading Real-time fee calculation including entry, stop-loss, and take-profit fees Break-even price calculation including trading fees Multi-Target Profit Management: Support for up to 3 take-profit levels with individual portion allocations Customizable risk-reward ratios for each take-profit target Visual profit/loss zones displayed as colored boxes on the chart Individual profit calculations for each take-profit level Visual Dashboard: Clean, customizable table display showing all key metrics Configurable label positioning and styling options Real-time tracking of whether stop-loss or take-profit levels have been reached Color-coded visual zones for easy identification of risk and reward areas Advanced Configuration: Comprehensive input validation and error handling Support for different chart timeframes and symbols Customizable colors, fonts, and display options Hide/show individual data fields for personalized dashboard views How to Use Set Account Parameters: Configure your account size, maximum risk percentage per trade, and trading fees in the "Account Settings" section. Define Trade Setup: Use the "Entry" time picker to select your entry point on the chart, then input your entry price and stop-loss level. Configure Take Profits: Set your desired risk-reward ratios and portion allocations for each take-profit level. The script supports 1-3 take-profit targets. Analyze Results: The dashboard will automatically calculate and display position size, number of shares, potential profits/losses, fees, and break-even levels. Visual Confirmation: Colored boxes on the chart show profit zones (green) and loss zones (red), with lines extending to current price levels. Reset Entry and SL: You can easily reset the entry and stop-loss by clicking the "Reset points..." button from the script's "More" menu. This is useful if you want to quickly clear your current trade setup and start fresh without manually adjusting the points on the chart. Calculations The script performs sophisticated calculations including: Position size based on risk amount and price difference between entry and stop-loss Leverage requirements and position amount calculations Fee-adjusted risk-reward ratios for realistic profit expectations Break-even price including all trading costs Individual profit calculations for partial position closures Detailed Take-Profit Calculation Formula: The take-profit prices are calculated using the following mathematical formula: // Core variables: // risk_amount = account_size * (risk_percentage / 100) // total_risk_per_share = |entry_price - sl_price| + (entry_price * fee%) + (sl_price * fee%) // shares = risk_amount / total_risk_per_share // direction_factor = 1 for long positions, -1 for short positions // Take-profit calculation: net_win = total_risk_per_share * shares * RR_ratio tp_price = (net_win + (direction_factor * entry_price * shares) + (entry_price * fee% * shares)) / (direction_factor * shares - fee% * shares) Step-by-step example for a long position (based on screenshot): Account Size: 2,000 USDT, Risk: 2% = 40 USDT Entry: 102,062.9 USDT, Stop Loss: 102,178.4 USDT, Fee: 0.06% Risk per share: |102,062.9 - 102,178.4| + (102,062.9 × 0.0006) + (102,178.4 × 0.0006) = 115.5 + 61.24 + 61.31 = 238.05 USDT Shares: 40 ÷ 238.05 = 0.168 shares (rounded to 0.17 in display) Position Size: 0.17 × 102,062.9 = 17,350.69 USDT Position Amount (with 9x leverage): 17,350.69 ÷ 9 = 1,927.85 USDT For 2:1 RR: Net win = 238.05 × 0.17 × 2 = 80.94 USDT TP1 price = (80.94 + (1 × 102,062.9 × 0.17) + (102,062.9 × 0.0006 × 0.17)) ÷ (1 × 0.17 - 0.0006 × 0.17) = 101,464.7 USDT For 3:1 RR: TP2 price = 101,226.7 USDT (following same formula with RR=3) This ensures that after accounting for all fees, the actual risk-reward ratio matches the specified target ratio. Risk Management Features Maximum Trade Amount: Optional setting to limit position size regardless of account size Leverage Limits: Built-in maximum leverage protection Fee Integration: All calculations include realistic trading fees for accurate expectations Validation: Automatic checking that take-profit portions sum to 100% Historical Tracking: Visual indication when stop-loss or take-profit levels are reached (within last 5000 bars) Understanding Max Trade Amount - Multiple Simultaneous Trades: The "Max Trade Amount" feature is designed for traders who want to open multiple positions simultaneously while maintaining proper risk management. Here's how it works: Key Concept: - Risk percentage (2%) always applies to your full Account Size - Max Trade Amount limits the capital allocated per individual trade - This allows multiple trades with full risk on each trade Example from Screenshot: Account Size: 2,000 USDT Max Trade Amount: 500 USDT Risk per Trade: 2% × 2,000 = 40 USDT per trade Stop Loss Distance: 0.11% from entry Result: Position Size = 17,350.69 USDT with 35x leverage Total Risk (including fees): 40.46 USDT Multiple Trades Strategy: With this setup, you can open: Trade 1: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 2: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 3: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 4: 40 USDT risk, 495.73 USDT position amount (35x leverage) Total Portfolio Exposure: - 4 simultaneous trades = 4 × 495.73 = 1,982.92 USDT position amount - Total risk exposure = 4 × 40 = 160 USDT (8% of account)
Pine Script®指标
由HllN提供
Position Size & Drawdown ManagerThis tool is designed to help traders dynamically adjust their position size and drawdown expectations as their trading capital changes over time. It provides a simple and intuitive way to translate backtest results into real-world position sizing decisions. Purpose and Functionality The indicator uses your original backtest parameters — including base capital, base drawdown percentage, and base position size — and your current account balance to calculate how your risk profile changes. It presents two main scenarios: Lock Drawdown %: Keeps your original drawdown percentage fixed and calculates the new position size required. Lock Position Size: Keeps your position size unchanged and shows how your drawdown percentage will shift. Why it’s useful Many traders face the challenge of scaling their strategies as their account grows or shrinks. This tool makes it easy to visualize the relationship between position sizing, capital, and drawdown. It’s particularly valuable for risk management, portfolio rebalancing, and maintaining consistent exposure when transitioning from backtest conditions to live trading. How it works The calculations are displayed in a clean, color-coded table that updates dynamically. This allows you to instantly see how capital fluctuations impact your expected drawdown or position size. You can toggle between light and dark themes and highlight important cells for clarity. Practical use case Combine this tool with your TradingView strategy results to better interpret your backtests and adjust your real-world trade sizes accordingly. It bridges the gap between simulated performance and actual account management. Chart example The chart included focuses only on this indicator, showing the output table and visual layout clearly without additional scripts or overlays.
Pine Script®指标
由tranholenguyen提供
Machine Learning Moving Average [BackQuant]Machine Learning Moving Average A powerful tool combining clustering, pseudo-machine learning, and adaptive prediction, enabling traders to understand and react to price behavior across multiple market regimes (Bullish, Neutral, Bearish). This script uses a dynamic clustering approach based on percentile thresholds and calculates an adaptive moving average, ideal for forecasting price movements with enhanced confidence levels. What is Percentile Clustering? Percentile clustering is a method that sorts and categorizes data into distinct groups based on its statistical distribution. In this script, the clustering process relies on the percentile values of a composite feature (based on technical indicators like RSI, CCI, ATR, etc.). By identifying key thresholds (lower and upper percentiles), the script assigns each data point (price movement) to a cluster (Bullish, Neutral, or Bearish), based on its proximity to these thresholds. This approach mimics aspects of machine learning, where we “train” the model on past price behavior to predict future movements. The key difference is that this is not true machine learning; rather, it uses data-driven statistical techniques to "cluster" the market into patterns. Why Percentile Clustering is Useful Clustering price data into meaningful patterns (Bullish, Neutral, Bearish) helps traders visualize how price behavior can be grouped over time. By leveraging past price behavior and technical indicators, percentile clustering adapts dynamically to evolving market conditions. It helps you understand whether price behavior today aligns with past bullish or bearish trends, improving market context. Clusters can be used to predict upcoming market conditions by identifying regimes with high confidence, improving entry/exit timing. What This Script Does Clustering Based on Percentiles : The script uses historical price data and various technical features to compute a "composite feature" for each bar. This feature is then sorted and clustered based on predefined percentile thresholds (e.g., 10th percentile for lower, 90th percentile for upper). Cluster-Based Prediction : Once clustered, the script uses a weighted average, cluster momentum, or regime transition model to predict future price behavior over a specified number of bars. Dynamic Moving Average : The script calculates a machine-learning-inspired moving average (MLMA) based on the current cluster, adjusting its behavior according to the cluster regime (Bullish, Neutral, Bearish). Adaptive Confidence Levels : Confidence in the predicted return is calculated based on the distance between the current value and the other clusters. The further it is from the next closest cluster, the higher the confidence. Visual Cluster Mapping : The script visually highlights different clusters on the chart with distinct colors for Bullish, Neutral, and Bearish regimes, and plots the MLMA line. Prediction Output : It projects the predicted price based on the selected method and shows both predicted price and confidence percentage for each prediction horizon. Trend Identification : Using the clustering output, the script colors the bars based on the current cluster to reflect whether the market is trending Bullish (green), Bearish (red), or is Neutral (gray). How Traders Use It Predicting Price Movements : The script provides traders with an idea of where prices might go based on past market behavior. Traders can use this forecast for short-term and long-term predictions, guiding their trades. Clustering for Regime Analysis : Traders can identify whether the market is in a Bullish, Neutral, or Bearish regime, using that information to adjust trading strategies. Adaptive Moving Average for Trend Following : The adaptive moving average can be used as a trend-following indicator, helping traders stay in the market when it’s aligned with the current trend (Bullish or Bearish). Entry/Exit Strategy : By understanding the current cluster and its associated trend, traders can time entries and exits with higher precision, taking advantage of favorable conditions when the confidence in the predicted price is high. Confidence for Risk Management : The confidence level associated with the predicted returns allows traders to manage risk better. Higher confidence levels indicate stronger market conditions, which can lead to higher position sizes. Pseudo Machine Learning Aspect While the script does not use conventional machine learning models (e.g., neural networks or decision trees), it mimics certain aspects of machine learning in its approach. By using clustering and the dynamic adjustment of a moving average, the model learns from historical data to adjust predictions for future price behavior. The "learning" comes from how the script uses past price data (and technical indicators) to create patterns (clusters) and predict future market movements based on those patterns. Why This Is Important for Traders Understanding market regimes helps to adjust trading strategies in a way that adapts to current market conditions. Forecasting price behavior provides an additional edge, enabling traders to time entries and exits based on predicted price movements. By leveraging the clustering technique, traders can separate noise from signal, improving the reliability of trading signals. The combination of clustering and predictive modeling in one tool reduces the complexity for traders, allowing them to focus on actionable insights rather than manual analysis. How to Interpret the Output Bullish (Green) Zone : When the price behavior clusters into the Bullish zone, expect upward price movement. The MLMA line will help confirm if the trend remains upward. Bearish (Red) Zone : When the price behavior clusters into the Bearish zone, expect downward price movement. The MLMA line will assist in tracking any downward trends. Neutral (Gray) Zone : A neutral market condition signals indecision or range-bound behavior. The MLMA line can help track any potential breakouts or trend reversals. Predicted Price : The projected price is shown on the chart, based on the cluster's predicted behavior. This provides a useful reference for where the price might move in the near future. Prediction Confidence : The confidence percentage helps you gauge the reliability of the predicted price. A higher percentage indicates stronger market confidence in the forecasted move. Tips for Use Combining with Other Indicators : Use the output of this indicator in combination with your existing strategy (e.g., RSI, MACD, or moving averages) to enhance signal accuracy. Position Sizing with Confidence : Increase position size when the prediction confidence is high, and decrease size when it’s low, based on the confidence interval. Regime-Based Strategy : Consider developing a multi-strategy approach where you use this tool for Bullish or Bearish regimes and a separate strategy for Neutral markets. Optimization : Adjust the lookback period and percentile settings to optimize the clustering algorithm based on your asset’s characteristics. Conclusion The Machine Learning Moving Average offers a novel approach to price prediction by leveraging percentile clustering and a dynamically adapting moving average. While not a traditional machine learning model, this tool mimics the adaptive behavior of machine learning by adjusting to evolving market conditions, helping traders predict price movements and identify trends with improved confidence and accuracy.
Pine Script®指标
由BackQuant提供
8
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens. It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility. How it works • Premium (%) = (Perp – Spot) ÷ Spot × 100 The script fetches both spot and perpetual prices and calculates their percentage difference each minute. • Rolling Mean & Z-Score Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is. • Dynamic ±2σ Bands highlight statistically extreme premiums or discounts. • Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows. Colour & Label Interpretation Visual cue Meaning Trading Implication 🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening 🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation ⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk ⚪ Grey bars Neutral Balanced conditions Alerts • Bull Pressure Alert → funding & premium rising (momentum building) • Bear Pressure Alert → premium falling (deleveraging) • Extreme Premium Alert → crowded longs; potential top • Extreme Discount Alert → capitulation; possible bottom Use case Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules: • Enter only when your oscillators are low → curling up and Bull Pressure triggers. • Trim or exit when Bear Pressure or Extreme Premium appears. • Watch for Extreme Discount during flushes as an early bottoming clue.
Pine Script®指标
由TokenTrendTracker提供