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อินดิเคเตอร์และกลยุทธ์

Delta Volume ReversalThis script displays Delta Volume-based reversal arrows by analyzing buying vs. selling volume from a lower timeframe. An up arrow appears when a red candle closes with dominant buying volume (bullish delta), while a down arrow appears on green candles with dominant selling volume (bearish delta). This highlights potential hidden strength or weakness in price action. Credits: Original from Delta Volume by SiddWolf — adapted and enhanced with reversal arrow visualization.
อินดิเคเตอร์ Pine Script®
โดย wendachye
Risk ModuleThis indicator provides a visual reference for position sizing and approximate stop and target placement. It supports trade planning by calculating equalized risk per trade and maintaining consistent exposure across different markets. For more information about the concept, see the post Position Sizing and Risk Management . Fixed Fractional Risk The indicator calculates the number of shares that can be traded to maintain consistent monetary risk. The formula is based on the distance between the current price and stop reference, adjusting position size proportionally. A closer stop results in a larger position size, while a wider stop results in a smaller one. Position Size = (Account Size × Risk %) ÷ (Entry Price – Stop Price) Stop and Target Stop placement is derived from volatility using the Average True Range (ATR). The target is plotted as a multiple of the stop distance, defining the risk-to-reward relationship in R units. Stop = Price ± ATR × Multiplier Target = Price ± (R × Risk Distance) Chart Elements The stop and target levels are plotted above and below the current price, with the stop marked by a red dot and the target by a green dot. The information table displayed on the chart shows the number of shares to trade, stop level, and target level. Setup and Configuration This configuration only needs to be set once, but can be adjusted later if preferred. 1. Start by setting the account size and risk percentage per trade to define the monetary amount risked on each trade. These values form the basis for position size calculation. 2. Set the ATR multiplier to determine stop distance, common values range between 1 and 3 ATR. Lower values place stops closer to price, increasing sensitivity but risking short-term noise. Higher values widen the stop, which reduces noise impact but extends time in risk. 3. Set the R-multiple to determine target distance relative to the stop. A value of 1 represents a 1:1 risk-to-reward relationship. Lower values reduce potential reward but tend to increase win rate, whereas higher values increase potential reward but tend to reduce win rate. The selection depends on system characteristics and trade expectancy. When the parameters are defined, the indicator displays the stop, target, and calculated position size on the chart. All that remains is to enter the trade with the number of shares shown in the table and place bracket orders at the plotted stop and target levels. Settings Overview Account Size / Risk %: Defines account capital and per-trade exposure. ATR Multiplier: Adjusts stop distance relative to volatility. R Multiple: Sets target distance relative to stop (risk-reward ratio). Position: Choose Long or Short direction. Table Position: Controls information table placement and scale.
อินดิเคเตอร์ Pine Script®
โดย StockLeave
Timebender - Fractal CloseTimebender – Fractal Close displays which higher-timeframe candles (Daily, Weekly, Monthly) are scheduled to close within the next 24 hours — helping traders anticipate potential volatility and liquidity shifts around key session or higher-TF closes. It automatically scans: • Daily: 1D → 11D • Weekly: 1W → 3W • Monthly: 1M → 12M The detected timeframes are shown in a compact on-chart table that can be positioned anywhere (top, middle, bottom — left, center, or right). You can also customize text color, background, and font size for visual clarity. Use it to align intraday setups with higher-timeframe structure, or to prepare for major session transitions as multiple fractal closes converge.
อินดิเคเตอร์ Pine Script®
โดย bon_appetrade
Timebender - 90 Minute KillzonesTimebender – 90 Minute Killzones This indicator divides each trading day into sixteen 90-minute blocks based on New York Time. Each zone is color-coded by session: 🔴 Asian  🟢 London  🔵 New York AM  🟣 New York PM It helps visualize recurring intraday rhythms and session overlaps without adding signals or bias. Includes an optional Daily Close Line (18:00 NYT) to mark the end of the trading day, now zoom-safe and toggleable. Built for structure, clarity, and visual balance — nothing more, nothing less.
อินดิเคเตอร์ Pine Script®
โดย bon_appetrade
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator What It Does Identifies high-probability trading setups by combining: Technical Breakouts/Breakdowns - Price breaking support/resistance zones Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY) Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure. Real Relative Strength (RRS) Calculation RRS measures outperformance/underperformance on a volatility-adjusted basis: Power Index = (Benchmark Price Move) / (Benchmark ATR) RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR RRS (smoothed) = 3-period SMA of RRS Interpretation: RRS > 0 = Relative Strength (outperforming) RRS < 0 = Relative Weakness (underperforming) Signal Types 🟢 Large Green Triangle (Premium Long) Condition: Breakout + RRS > 0 Meaning: Stock breaking resistance WHILE outperforming benchmark Best when: Market is weak but stock breaks out anyway = exceptional strength Use: High-conviction long entries 🔵 Small Blue Triangle (Standard Breakout) Condition: Breakout + RRS ≤ 0 Meaning: Breaking resistance but underperforming benchmark Typical: "Rising tide lifts all boats" scenario during market rally Use: Lower conviction—may just be following market 🟠 Large Orange Triangle (Premium Short) Condition: Breakdown + RRS < 0 Meaning: Stock breaking support WHILE underperforming benchmark Best when: Market is strong but stock breaks down anyway = severe weakness Use: High-conviction short entries 🔴 Small Red Triangle (Standard Breakdown) Condition: Breakdown + RRS ≥ 0 Meaning: Breaking support but outperforming benchmark Typical: Stock falling less than market during selloff Use: Lower conviction—may recover when market does Why Large Triangles Matter Large signals show divergence = genuine institutional flow: Stock breaking out while market falls → Aggressive buying despite headwinds Stock breaking down while market rallies → Aggressive selling despite tailwinds These setups reveal where real conviction lies, not just momentum-following behavior. Quick Settings RRS: 12-period lookback, 3-bar smoothing, vs SPY Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
อินดิเคเตอร์ Pine Script®
โดย william2003wakeford
Cross3x v2Cross3x – Smart Trend & Rejection Detection System Cross3x is a precision trading indicator designed for traders who combine trend-following with early reversal detection. Built on a triple moving average core, it delivers high-quality signals with minimal noise and maximum clarity. Core Features: Trend Filtered Crossover: Uses a fast EMA (18), slow EMA (33), and long-term SMA (99) to generate reliable entry signals only in the direction of the dominant trend. Dynamic SL/TP/BE Management: Stop Loss placed at the lowest/highest extreme over a user-defined lookback. Take Profit calculated using a customizable Risk/Reward ratio. Break-Even level set as a percentage between entry and TP (e.g., 10% = BE just above entry). Early Rejection Signals: Flags potential reversals when price tests a moving average with a long wick during a countertrend candle — ideal for spotting pullbacks before the next leg. Green flag: "Potential Long Setup" after a bullish rejection. Red flag: "Potential Short Setup" after a bearish rejection. Confirmation Points: Circles appear when price retraces cleanly after a crossover, signaling optimal entry zones. Interactive Dashboard: Real-time table showing current signal, SL, and TP levels. Customizable Alerts: Fully configurable alerts for entries, confirmation points, and rejection setups. Why Use Cross3x? It doesn’t just follow trends — it anticipates them. By combining classical crossovers with smart rejection logic and structured risk management, Cross3x helps you enter earlier, manage risk better, and stay aligned with market momentum. Perfect for swing traders, intraday scalpers, and algorithmic strategies seeking a clean, robust foundation. Usage Tips: Combine "Potential" flags with order blocks or key levels for higher accuracy. Use confirmation circles as entry triggers after early setups. Adjust RR and BE% based on volatility and trading style. Deploy Cross3x to turn simple crossovers into a complete trading methodology.
อินดิเคเตอร์ Pine Script®
โดย Nunyadzila2025
Multi Length Market Structure (BoS + ChoCh)█ OVERVIEW The "Multi Length Market Structure (BoS + ChoCh)" indicator is a technical analysis tool that identifies key pivot points on the chart and signals market structure breaks (Break of Structure - BoS) and changes in market character (Change of Character - ChoCh). It is designed for traders employing market structure-based strategies, enabling the identification of critical support and resistance levels and potential trend reversal points. The indicator offers flexible pivot length settings, customizable colors, and labels, ensuring clarity and precision on the chart. █ CONCEPTS The indicator was developed to simplify the identification of changes in market structure, catering to both short-term and longer-term trading strategies. To this end, it simultaneously displays breakouts for four editable pivot lengths. The lengths represent the delay, measured in the number of candles, after which a pivot is recognized. Pivots with larger values are often turning points on higher timeframes, providing a broader view of the market. Why are BoS and ChoCh important? A Break of Structure (BoS) indicates trend continuation when the price breaks a key level (e.g., a previous high or low). A Change of Character (ChoCh) signals a potential trend reversal when the price breaks a level in the opposite direction of the prior trend. These signals help traders identify moments when the market changes its dynamics, which is crucial for price action strategies. █ FEATURES - Pivot Detection: Identifies pivot points (highs and lows) based on four different pivot lengths (default: 5, 10, 15, 20), enabling market structure analysis with varying sensitivity. - BoS and ChoCh Signals: Generates Break of Structure (BoS) signals in the form of triangles (green for bullish, red for bearish) and Change of Character (ChoCh) signals when the price breaks a key level in the opposite direction of the prior trend. - Pivot Labels: Displays labels for highs (HH - Higher High, LH - Lower High) and lows (HL - Higher Low, LL - Lower Low) with the option to select which pivot to display them for. - Customizable Colors and Styles: Allows configuration of colors for BoS and ChoCh signals and pivot labels. - Alerts: Built-in alerts for BoS and ChoCh signals for each pivot length, including price and signal type descriptions. █ HOW TO USE Adding to the Chart: Add the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configuring Settings: - Pivot Lengths: Set four different pivot lengths (Pivot Length 1-4, default: 5, 10, 15, 20) to adjust the sensitivity of pivot detection. Shorter lengths are more sensitive, while longer lengths are more significant. If you want to use only one length, set all pivot lengths to the same value. - Colors and Styles: Configure colors for BoS signals (green for bullish, red for bearish) and pivot labels. - Labels: Enable/disable the display of HH/HL/LH/LL labels and choose which pivot to display them for (Pivot 1-4 or none). - Signals: BoS and ChoCh signals are displayed as triangles (upward for bullish BoS, downward for bearish). Alerts can be configured for each signal type. Interpreting Signals: - Bullish BoS Signal: A green triangle below the candle indicates a breakout above a previous high, suggesting bullish trend continuation. - Bearish BoS Signal: A red triangle above the candle indicates a breakout below a previous low, suggesting bearish trend continuation. - Bullish ChoCh Signal: A green triangle after breaking a high in a downtrend indicates a potential reversal to bullish. - Bearish ChoCh Signal: A red triangle after breaking a low in an uptrend indicates a potential reversal to bearish. - Pivot Levels: Use pivot points as dynamic support and resistance levels. Levels from longer pivots carry greater significance. Combine signals with other technical analysis tools, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze market structure on higher timeframes for stronger signals. Be particularly cautious when entering positions if RSI approaches overbought/oversold zones and divergences appear, as this may indicate a trend change. █ APPLICATIONS - Breakout Strategies: Trade based on BoS signals indicating trend continuation. A BoS signal after breaking a high in an uptrend may suggest a strong bullish impulse, especially when supported by a rising MACD. - Reversal Strategies: ChoCh signals may indicate a potential trend reversal, particularly when confirmed by other indicators, such as RSI divergences or Fibonacci levels.
อินดิเคเตอร์ Pine Script®
โดย Uncle_the_shooter
7
Asia Range Breakout Table (Narrowness) Asia Range Breakout Table (Narrowness) Overview The Asia Range Breakout Table (Narrowness) is a professional trading tool designed to analyze and display range characteristics across key Asian trading sessions. This indicator provides real-time visual feedback on market range narrowness, helping traders identify potential breakout opportunities based on historical range comparisons. Better to use in M5 or M15 timeframe. Key Features - Multi-Session Analysis : Tracks 6 crucial Asian market sessions: - ORB Pre (Tokyo Pre-open) - ORB First (Tokyo First) - Sydney Box - Tokyo Launch Box - 2nd Session Pre-Open - 2nd ORB (Tokyo 2nd Session) - Historical Comparison : Compares current session ranges against 44 days of historical data - Visual Color Coding : - 🟢 Narrowest (<10%) - Extremely compressed ranges - 🟢 Narrow (10-59%) - Below average ranges - 🟣 Normal (60-79%) - Typical range behavior - 🔴 Wide (≥80%) - Expanded range conditions - Customizable Display : Adjustable table position and text size - Session Toggle : Enable/disable individual sessions based on your trading focus How It Works The indicator calculates the high-low range for each defined session and ranks it against historical data using percentile analysis. This helps traders quickly identify: - Unusually narrow ranges that may indicate impending breakouts - Expanded ranges suggesting increased volatility - Normal range behavior for context Use Cases - Breakout Trading : Identify sessions with compressed ranges for potential breakout setups - Volatility Assessment : Gauge market conditions across different Asian sessions - Session Analysis : Understand range behavior during specific market hours - Risk Management : Adjust position sizing based on range characteristics Input Parameters - Session Toggles : Enable/disable individual session tracking - Table Position : Choose from four corner positions - Text Size : Adjust table readability (Tiny, Small, Normal, Big) Ideal For - Asian session traders - Breakout strategy enthusiasts - Volatility analysis - Multi-timeframe analysts - Professional and retail traders focusing on Asian markets Disclaimer This tool is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and risk management before trading.
อินดิเคเตอร์ Pine Script®
โดย MahdiSalari8
Simplified Percentile ClusteringSimplified Percentile Clustering (SPC) is a clustering system for trend regime analysis. Instead of relying on heavy iterative algorithms such as k-means, SPC takes a deterministic approach: it uses percentiles and running averages to form cluster centers directly from the data, producing smooth, interpretable market state segmentation that updates live with every bar. Most clustering algorithms are designed for offline datasets, they require recomputation, multiple iterations, and fixed sample sizes. SPC borrows from both statistical normalization and distance-based clustering theory , but simplifies them. Percentiles ensure that cluster centers are resistant to outliers , while the running mean provides a stable mid-point reference. Unlike iterative methods, SPC’s centers evolve smoothly with time, ideal for charts that must update in real time without sudden reclassification noise. SPC provides a simple yet powerful clustering heuristic that: Runs continuously in a charting environment, Remains interpretable and reproducible, And allows traders to see how close the current market state is to transitioning between regimes. Clustering by Percentiles Traditional clustering methods find centers through iteration. SPC defines them deterministically using three simple statistics within a moving window: Lower percentile (p_low) → captures the lower basin of feature values. Upper percentile (p_high) → captures the upper basin. Mean (mid) → represents the central tendency. From these, SPC computes stable “centers”: // K = 2 → two regimes (e.g., bullish / bearish) = // K = 3 → adds a neutral zone = These centers move gradually with the market, forming live regime boundaries without ever needing convergence steps. Two clusters capture directional bias; three clusters add a neutral ‘range’ state. Multi-Feature Fusion While SPC can cluster a single feature such as RSI, CCI, Fisher Transform, DMI, Z-Score, or the price-to-MA ratio (MAR), its real strength lies in feature fusion. Each feature adds a unique lens to the clustering system. By toggling features on or off, traders can test how each dimension contributes to the regime structure. In “Clusters” mode, SPC measures how far the current bar is from each cluster center across all enabled features, averages these distances, and assigns the bar to the nearest combined center. This effectively creates a multi-dimensional regime map , where each feature contributes equally to defining the overall market state. The fusion distance is computed as: dist := (rsi_d * on_off(use_rsi) + cci_d * on_off(use_cci) + fis_d * on_off(use_fis) + dmi_d * on_off(use_dmi) + zsc_d * on_off(use_zsc) + mar_d * on_off(use_mar)) / (on_off(use_rsi) + on_off(use_cci) + on_off(use_fis) + on_off(use_dmi) + on_off(use_zsc) + on_off(use_mar)) Because each feature can be standardized (Z-Score), the distances remain comparable across different scales. Fusion mode combines multiple standardized features into a single smooth regime signal. Visualizing Proximity - The Transition Gradient Most indicators show binary or discrete conditions (e.g., bullish/bearish). SPC goes further, it quantifies how close the current value is to flipping into the next cluster. It measures the distances to the two nearest cluster centers and interpolates between them: rel_pos = min_dist / (min_dist + second_min_dist) real_clust = cluster_val + (second_val - cluster_val) * rel_pos This real_clust output forms a continuous line that moves smoothly between clusters: Near 0.0 → firmly within the current regime Around 0.5 → balanced between clusters (transition zone) Near 1.0 → about to flip into the next regime Smooth interpolation reveals when the market is close to a regime change. How to Tune the Parameters SPC includes intuitive parameters to adapt sensitivity and stability: K Clusters (2–3): Defines the number of regimes. K = 2 for trend/range distinction, K = 3 for trend/neutral transitions. Lookback: Determines the number of past bars used for percentile and mean calculations. Higher = smoother, more stable clusters. Lower = faster reaction to new trends. Lower / Upper Percentiles: Define what counts as “low” and “high” states. Adjust to widen or tighten cluster ranges. Shorter lookbacks react quickly to shifts; longer lookbacks smooth the clusters. Visual Interpretation In “Clusters” mode, SPC plots: A colored histogram for each cluster (red, orange, green depending on K) Horizontal guide lines separating cluster levels Smooth proximity transitions between states Each bar’s color also changes based on its assigned cluster, allowing quick recognition of when the market transitions between regimes. Cluster bands visualize regime structure and transitions at a glance. Practical Applications Identify market regimes (bullish, neutral, bearish) in real time Detect early transition phases before a trend flip occurs Fuse multiple indicators into a single consistent signal Engineer interpretable features for machine-learning research Build adaptive filters or hybrid signals based on cluster proximity Final Notes Simplified Percentile Clustering (SPC) provides a balance between mathematical rigor and visual intuition. It replaces complex iterative algorithms with a clear, deterministic logic that any trader can understand, and yet retains the multidimensional insight of a fusion-based clustering system. Use SPC to study how different indicators align, how regimes evolve, and how transitions emerge in real time. It’s not about predicting; it’s about seeing the structure of the market unfold. Disclaimer This indicator is intended for educational and analytical use. It does not generate buy or sell signals. Historical regime transitions are not indicative of future performance. Always validate insights with independent analysis before making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย InvestorUnknown
2
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation. What is a Fair Value Gap A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3. Bullish FVG : low > high . This marks a bullish imbalance left beneath price. Bearish FVG : high < low . This marks a bearish imbalance left above price. These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs. Why add momentum Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill. Core Features Auto FVG Detection with size filters in percent of price. Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red. Bull and Bear Modes with independent toggles. Extend Until Filled : keep drawing live to the right until price fully fills the gap. Auto Remove Filled for a clean chart. Optional Labels showing the smoothed RSI value stored at the gap’s birth. RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought. Performance Controls : cap how many FVGs to keep on chart. Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs. How it works Source for Momentum : choose Returns, Close, or Volume. Returns computes percent change over a short lookback to focus on impulse quality. RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding. Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price. Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it. Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately. How to use it Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop. Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction. Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance. Choose your playbook : Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context. Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse. Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price. Two trade playbooks Continuation - Buy the hold of a bullish FVG Context uptrend. A bullish FVG prints with strong RSI color. Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap. Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area. Reversion - Fade a weak bearish FVG toward fill Context range or fading trend. A bearish FVG prints with weak RSI color near a completed move. Price fails to accelerate lower and rotates back into the gap. Enter toward mid-gap with confirmation. Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials. Key settings Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday. Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets. RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability. RSI Source : Returns : most sensitive to true momentum bursts Close : traditional. Volume : uses raw volume impulses to judge footprint strength. Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals. Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes. Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow. Reading the chart Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality. Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality. Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation. Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed. Workflow tips Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias. Increase Min FVG Size percent and RSI length for noisy symbols. Use labels when learning to correlate the RSI numbers with your palette colors. Combine with VWAP or moving averages for confluence at FVG edges. If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing. Alerts included New Bullish FVG New Bearish FVG Bullish FVG Filled Bearish FVG Filled Extreme Oversold FVG - bullish Extreme Overbought FVG - bearish Practical defaults RSI Length 14, Smooth 3, Source Returns. Min FVG Size 0.25 percent on liquid majors. Heatmap Style Gradient, Palette Viridis or Turbo for contrast. Extend Unfilled on, Auto Remove on for a clean live map. Notes This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
อินดิเคเตอร์ Pine Script®
โดย BackQuant