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My script//@version=5 strategy("15-Min EMA + RSI Pullback Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === INPUTS === emaShort = input.int(9, title="EMA Short") emaLong = input.int(21, title="EMA Long") rsiPeriod = input.int(14, title="RSI Period") rsiBuyThresh = input.int(40, title="RSI Buy Threshold") rsiSellThresh = input.int(60, title="RSI Sell Threshold") sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1) tp_pct = input.float(2.0, title="Take Profit %", minval=0.1) // === CALCULATIONS === emaFast = ta.ema(close, emaShort) emaSlow = ta.ema(close, emaLong) rsi = ta.rsi(close, rsiPeriod) // === CONDITIONS === // Long setup bullTrend = emaFast > emaSlow pullbackLong = close > emaSlow and close < emaFast rsiLongCond = rsi > rsiBuyThresh bullSignal = bullTrend and pullbackLong and rsiLongCond // Short setup bearTrend = emaFast < emaSlow pullbackShort = close < emaSlow and close > emaFast rsiShortCond = rsi < rsiSellThresh bearSignal = bearTrend and pullbackShort and rsiShortCond // === ENTRIES === if bullSignal strategy.entry("Long", strategy.long) strategy.exit("TP/SL Long", from_entry="Long", stop=close * (1 - sl_pct / 100), limit=close * (1 + tp_pct / 100)) if bearSignal strategy.entry("Short", strategy.short) strategy.exit("TP/SL Short", from_entry="Short", stop=close * (1 + sl_pct / 100), limit=close * (1 - tp_pct / 100)) // === PLOT INDICATORS === plot(emaFast, color=color.orange, title="EMA 9") plot(emaSlow, color=color.blue, title="EMA 21")
Penunjuk Pine Script®
oleh drissthekid
Momentum (80) + ATR (14)This indicator combines two key technical tools in a single panel, offering a simplified and efficient visual analysis: 🔹 Momentum: Calculated over a customizable period (default: 14), it measures the difference between the current price and the price n periods ago. Displayed as a filled area, it makes it easy to visually spot increases or decreases in market momentum. 🔸 ATR (Average True Range): Shown as a line, the ATR represents the average market volatility over a defined period (also 14 by default). It helps identify calm versus volatile market phases. Combining these two indicators allows traders to assess both the directional strength of price movements and the market's volatility, leading to more informed decisions. ✅ Suitable for all asset types (stocks, crypto, forex, etc.) ✅ Ideal as a complement to other tools like RSI, MACD, or Bollinger Bands ✅ Categories: Momentum & Volatility
Penunjuk Pine Script®
oleh sebastien_menard
Enhanced BTC Order Block IndicatorThe script you provided is an "Enhanced BTC Order Block Indicator" written in Pine Script v5 for TradingView. It is designed to identify and visually mark Order Blocks (OBs) on a Bitcoin (BTC) price chart, specifically tailored for a high-frequency scalping strategy on the 5-minute (M5) timeframe. Order Blocks are key price zones where institutional traders are likely to have placed significant buy or sell orders, making them high-probability areas for reversals or continuations. The script incorporates customizable filters, visual indicators, and alert functionality to assist traders in executing the strategy outlined earlier. Key Features and Functionality Purpose: The indicator detects bullish Order Blocks (buy zones) and bearish Order Blocks (sell zones) based on a predefined percentage price movement (default 0.5–1%) and volume confirmation. It marks these zones on the chart with colored boxes and provides alerts when an OB is detected. User-Configurable Inputs: Price Move Range: minMovePercent (default 0.5%) and maxMovePercent (default 1.0%) define the acceptable price movement range for identifying OBs. Volume Threshold: volumeThreshold (default 1.5x average volume) ensures OB detection is backed by significant trading activity. Lookback Period: lookback (default 10 candles) determines how many previous candles are analyzed to find the last candle before a strong move. Wick/Body Option: useWick (default false) allows users to choose whether the OB zone is based on the candle’s wick or body. Colors: bullishOBColor (default green) and bearishOBColor (default red) set the visual appearance of OB boxes. Box Extension: boxExtension (default 100 bars) controls how far the OB box extends to the right on the chart. RSI Filter: useRSI (default true) enables an RSI filter, with rsiLength (default 14), rsiBullishThreshold (default 50), and rsiBearishThreshold (default 50) for trend confirmation. M15 Support/Resistance: useSR (default true) and srLookback (default 20) integrate M15 timeframe swing highs and lows for additional OB validation. Core Logic: Bullish OB Detection: Identifies a strong upward move (0.5–1%) with volume above the threshold. It then looks back to the last bearish candle before the move to define the OB zone. RSI > 50 and proximity to M15 support/resistance (optional) enhance confirmation. Bearish OB Detection: Identifies a strong downward move (0.5–1%) with volume confirmation, tracing back to the last bullish candle. RSI < 50 and M15 resistance proximity (optional) add validation. The OB zone is drawn as a rectangle from the high to low of the identified candle, extended rightward. Visual Output: Boxes: Uses box.new to draw OB zones, with left set to the previous bar (bar_index ), right extended by boxExtension, top and bottom defined by the OB’s high and low prices. Each box includes a text label ("Bullish OB" or "Bearish OB") and is semi-transparent. Colors distinguish between bullish (green) and bearish (red) OBs. Alerts: Global alertcondition definitions trigger notifications for "Bullish OB Detected" and "Bearish OB Detected" when the respective conditions are met, displaying the current close price in the message. Helper Functions: f_priceChangePercent: Calculates the percentage price change between open and close prices. isNearSR: Checks if the price is within 0.2% of M15 swing highs or lows for support/resistance confluence. How It Works The script runs on each candle, evaluating the current price action against the user-defined criteria. When a bullish or bearish move is detected (meeting the percentage, volume, RSI, and S/R conditions), it identifies the preceding candle to define the OB zone. The OB is then visualized on the chart, and an alert is triggered if configured in TradingView. Use Case This indicator is tailored for your BTC scalping strategy, where trades last 1–15 minutes targeting 0.3–0.5% gains. It helps traders spot institutional order zones on the M5 chart, confirmed by secondary M1 analysis, and integrates with your use of EMAs, RSI, and volume. The customizable settings allow adaptation to varying market conditions or personal preferences. Limitations The M15 S/R detection is simplified (using swing highs/lows), which may not always align perfectly with manual support/resistance levels. Alerts depend on TradingView’s alert system and require manual setup. Performance may vary with high volatility or low-volume periods, necessitating parameter adjustments.
Penunjuk Pine Script®
oleh robinunga16
Candle Range DetectorCandle Range Detector // Pine Script v6 // Detects candle-based ranges, mitigations, and sweeps with advanced logic Overview This indicator automatically detects price ranges based on candle containment, then tracks when those ranges are mitigated (broken) and when a sweep occurs. It is designed for traders who want to identify liquidity events and range breaks with precision. How It Works - Range Detection: A range is formed when a candle is fully contained within the previous candle (its high is lower and its low is higher). This marks a potential area of price balance or liquidity. - Mitigation: A range is considered mitigated when price closes beyond its extension levels (configurable by normal or Fibonacci logic). This signals that the range has been invalidated or "taken out" by price action. - Sweep Detection: After mitigation, the script watches for a sweep event: a candle that both trades through the range extreme and closes decisively beyond the log-mid of the candle itself. This is a strong sign of a liquidity grab or stop run. - Alerts & Visuals: You can enable alerts and on-chart labels for sweeps. Only the most recent mitigated range can be swept, and each range can only be swept once. - Timeframe Sensitivity: On weekly or monthly charts, a candle can both mitigate and sweep a range on the same bar. On lower timeframes, only one event can occur per bar. Why It Works - Candle containment is a robust way to identify natural price ranges and liquidity pools, as it reflects where price is consolidating or being absorbed. - Mitigation marks the moment when a range is no longer defended, often leading to new directional moves. - Sweeps are powerful signals of stop hunts or liquidity grabs, especially when confirmed by a close beyond the log-mid of the candle, indicating strong intent. Visual Explanation Tip: Use this tool to spot high-probability reversal or continuation zones, and to get alerted to key liquidity events in real time.
Penunjuk Pine Script®
oleh mindyourbuisness
Session High/Low Midpoint Line with Dynamic StdDev BandsA Pine Script indicator designed to plot a midpoint line based on the high and low prices of a user-defined trading session (typically Regular Trading Hours, RTH) and to add dynamic standard deviation (StdDev) bands around this midpoint. Session Midpoint Line: The midpoint is calculated as the average of the session's highest high and lowest low during the defined RTH period (e.g., 9:30 AM to 4:00 PM). This line represents a central tendency or "fair value" for the session, similar to a pivot point or volume-weighted average price (VWAP) anchor. Interpretation: Prices above the midpoint suggest bullish sentiment, while prices below indicate bearish sentiment. The midpoint can act as a dynamic support/resistance level, where price may revert to or react at this level during the session. Dynamic StdDev Bands: The bands are calculated by adding/subtracting a multiple of the standard deviation of the midpoint values (tracked in an array) from the midpoint. The standard deviation is dynamically computed based on the historical midpoint values within the session, making the bands adaptive to volatility. Interpretation: The upper and lower bands represent potential overbought (upper) and oversold (lower) zones. Prices approaching or crossing the bands may indicate stretched conditions, potentially signaling reversals or breakouts. Trend Identification: Use the midpoint as a reference for the session’s trend. Persistent price action above the midpoint suggests bullishness, while below indicates bearishness. Combine with other indicators (e.g., moving averages, RSI) to confirm trend direction. Support/Resistance Trading: Treat the midpoint as a dynamic pivot point. Price rejections or consolidations near the midpoint can be entry points for mean-reversion trades. The StdDev bands can act as secondary support/resistance levels. For example, price reaching the upper band may signal a potential short entry if accompanied by reversal signals. Breakout/Breakdown Strategies: A strong move beyond the upper or lower band may indicate a breakout (bullish above upper, bearish below lower). Confirm with volume or momentum indicators to avoid false breakouts. The dynamic nature of the bands makes them useful for identifying significant price extensions. Volatility Assessment: Wider bands indicate higher volatility, suggesting larger price swings and potentially riskier trades. Narrow bands suggest consolidation, which may precede a breakout. Traders can prepare for volatility expansions in such scenarios. The "Session High/Low Midpoint Line with Dynamic StdDev Bands" indicator is a useful tool for day traders focusing on RTH sessions, offering a dynamic midpoint as a pivot and adaptive StdDev bands for volatility and range analysis. It excels in providing session-specific context and visual clarity but is limited by its lagging nature, early-session unreliability, and lack of standalone signals.
Penunjuk Pine Script®
oleh thericetrader
Triple Exponential Moving Average (TEMA)The Triple Exponential Moving Average (TEMA) is an advanced technical indicator designed to significantly reduce the lag inherent in traditional moving averages while maintaining signal quality. Developed by Patrick Mulloy in 1994 as an extension of his DEMA concept, TEMA employs a sophisticated triple-stage calculation process to provide exceptionally responsive market signals. TEMA's mathematical approach goes beyond standard smoothing techniques by using a triple-cascade architecture with optimized coefficients. This makes it particularly valuable for traders who need earlier identification of trend changes without sacrificing reliability. Since its introduction, TEMA has become a key component in many algorithmic trading systems and professional trading platforms. ▶️ **Core Concepts** Triple-stage lag reduction: TEMA uses a three-level EMA calculation with optimized coefficients (3, -3, 1) to dramatically minimize the delay in signal generation Enhanced responsiveness: Provides significantly faster reaction to price changes than standard EMA or even DEMA, while maintaining reasonable smoothness Strategic signal processing: Employs mathematical techniques to extract the underlying trend while filtering random price fluctuations Timeframe effectiveness: Performs well across multiple timeframes, though particularly valued in short to medium-term trading TEMA achieves its enhanced responsiveness through an innovative triple-cascade architecture that strategically combines three levels of exponential moving averages. This approach effectively removes the lag component inherent in EMA calculations while preserving the essential smoothing benefits. ▶️ **Common Settings and Parameters** Length: Default: 12 | Controls sensitivity/smoothness | When to Adjust: Increase in choppy markets, decrease in strongly trending markets Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2/HLC3 for more balanced price representation Corrected: Default: false | Adjusts internal EMA smoothing factors for potentially faster response | When to Adjust: Set to true for a modified TEMA that may react quicker to price changes. false uses standard TEMA calculation Visualization: Default: Line | Display format on charts | When to Adjust: Use filled cloud to see divergence from price more clearly Pro Tip: For optimal trade signals, many professional traders use two TEMAs (e.g., 8 and 21 periods) and look for crossovers, which often provide earlier signals than traditional moving average pairs. ▶️ **Calculation and Mathematical Foundation** Simplified explanation: TEMA calculates three levels of EMAs, then combines them using a special formula that amplifies recent price action while reducing lag. This triple-processing approach effectively eliminates much of the delay found in traditional moving averages. Technical formula: TEMA = 3 × EMA₁ - 3 × EMA₂ + EMA₃ Where: EMA₁ = EMA(source, α₁) EMA₂ = EMA(EMA₁, α₂) EMA₃ = EMA(EMA₂, α₃) The smoothing factors (α₁, α₂, α₃) are determined as follows: Let α_base = 2/(length + 1) α₁ = α_base If corrected is false: α₂ = α_base α₃ = α_base If corrected is true: Let r = (1/α_base)^(1/3) α₂ = α_base * r α₃ = α_base * r * r = α_base * r² The corrected = true option implements a variation that uses progressively smaller alpha values for the subsequent EMA calculations. This approach aims to optimize the filter's frequency response and phase lag. Alpha Calculation for corrected = true: α₁ (alpha_base) = 2/(length + 1) r = (1/α₁)^(1/3) (cube root relationship) α₂ = α₁ * r = α₁^(2/3) α₃ = α₂ * r = α₁^(1/3) Mathematical Rationale for Corrected Alphas: 1. Frequency Response Balance: The standard TEMA (where α₁ = α₂ = α₃) can lead to an uneven frequency response, potentially over-smoothing high frequencies or creating resonance artifacts. The geometric progression of alphas (α₁ > α₁^(2/3) > α₁^(1/3)) in the corrected version aims to create a more balanced filter cascade. Each stage contributes more proportionally to the overall frequency response. 2. Phase Lag Optimization: The cube root relationship between the alphas is designed to minimize cumulative phase lag while maintaining smoothing effectiveness. Each subsequent EMA stage has a progressively smaller impact on phase distortion. 3. Mathematical Stability: The geometric progression (α₁, α₁^(2/3), α₁^(1/3)) can enhance numerical stability due to constant ratios between consecutive alphas. This helps prevent the accumulation of rounding errors and maintains consistent convergence properties. Practical Impact of corrected = true: This modification aims to achieve: Potentially better lag reduction for a similar level of smoothing A more uniform frequency response across different market cycles Reduced overshoot or undershoot in trending conditions Improved signal-to-noise ratio preservation Essentially, the cube root relationship in the corrected TEMA attempts to optimize the trade-off between responsiveness and smoothness that can be a challenge with uniform alpha values. 🔍 Technical Note: Advanced implementations apply compensation techniques to all three EMA stages, ensuring TEMA values are valid from the first bar without requiring a warm-up period. This compensation corrects initialization bias and prevents calculation errors from compounding through the cascade. ▶️ **Interpretation Details** TEMA excels at identifying trend changes significantly earlier than traditional moving averages, making it valuable for both entry and exit signals: When price crosses above TEMA, it often signals the beginning of an uptrend When price crosses below TEMA, it often signals the beginning of a downtrend The slope of TEMA provides insight into trend strength and momentum TEMA crossovers with price tend to occur earlier than with standard EMAs When multiple-period TEMAs cross each other, they confirm significant trend shifts TEMA works exceptionally well as a dynamic support/resistance level in trending markets For optimal results, traders often use TEMA in combination with momentum indicators or volume analysis to confirm signals and reduce false positives. ▶️ **Limitations and Considerations** Market conditions: The high responsiveness can generate false signals during highly choppy, sideways markets Overshooting: More aggressive lag reduction leads to more pronounced overshooting during sharp reversals Parameter sensitivity: Changes in length have more dramatic effects than in simpler moving averages Calculation complexity: Triple cascaded EMAs make behavior less predictable and more resource-intensive Complementary tools: Should be used with confirmation tools like RSI, MACD or volume indicators ▶️ **References** Mulloy, P. (1994). "Smoothing Data with Less Lag," Technical Analysis of Stocks & Commodities . Mulloy, P. (1995). "Comparing Digital Filters," Technical Analysis of Stocks & Commodities .
Penunjuk Pine Script®
oleh mihakralj
Extended Hours Session Range Position (0-100) with EMAA Pine Script indicator designed to measure the relative position of the current price within the high-low range of an extended and regular trading session (4:00 AM to 8:00 PM ET) and smooth this position with an Exponential Moving Average (EMA). Session Range Position (0-100): The indicator calculates the price’s position within the session’s high-low range, normalized to a 0–100 scale: 0: Price is at the session low. 100: Price is at the session high. 50: Price is at the midpoint of the session range. This provides a standardized way to assess whether the price is near the top, bottom, or middle of the session’s range, regardless of the absolute price or range size. Smoothed EMA: The EMA (default length 10) smooths the raw position value to reduce noise and highlight trends in the price’s relative position. A rising EMA suggests the price is moving toward the session high, while a falling EMA indicates movement toward the session low. Key Levels: 50 (Midpoint): Represents the middle of the session range. Crosses above/below this level can signal shifts in momentum. 30 (Oversold) and 70 (Overbought): These thresholds suggest the price is in extreme zones relative to the session range, potentially indicating overextension. 0 and 100: Represent the session low and high, respectively. Divergence Signals: Background colors highlight crossovers (green) and crossunders (red) between the position and its EMA, indicating potential momentum shifts or reversals. Trend Identification: Use the position and EMA to gauge the price’s trend within the session: Position > 50 and rising EMA: Bullish bias (price moving toward session high). Position < 50 and falling EMA: Bearish bias (price moving toward session low). Combine with other indicators (e.g., RSI, MACD) to confirm trends. Reversal Signals: Look for crossovers/crossunders between the position and EMA: Crossover (Position > EMA): Potential bullish reversal or strengthening momentum. Crossunder (Position < EMA): Potential bearish reversal or weakening momentum. Pay attention to the 30 (oversold) and 70 (overbought) levels for mean-reversion opportunities, especially if the position diverges from the EMA. Range Trading: In range-bound markets, use the 30 and 70 levels to identify potential buy (near 30) and sell (near 70) zones. Confirm with price action (e.g., candlestick patterns) or volume to avoid false signals. Breakout Trading: A position approaching 100 or 0 may indicate a breakout if accompanied by high volume or a catalyst (e.g., news during extended hours). Use the session range (displayed in the table) to assess the significance of the breakout. The Extended Hours Session Range Position (0-100) with EMA indicator is a useful tool for traders active in extended-hours sessions, offering a normalized view of price position and smoothed trend signals. It excels in providing contextual analysis and visual clarity, with alerts and divergence detection adding practical value.
Penunjuk Pine Script®
oleh thericetrader
Stochastic RSI with Alerts# Stochastic RSI with Alerts - User Manual ## 1. Overview This enhanced Stochastic RSI indicator identifies overbought/oversold conditions with visual signals and customizable alerts. It features: - Dual-line Stoch RSI (K & D) - Threshold-based buy/sell signals - Configurable alert system - Customizable parameters ## 2. Installation 1. Open TradingView chart 2. Open Pine Editor (📈 icon at bottom) 3. Copy/paste the full code 4. Click "Add to Chart" ## 3. Input Parameters ### 3.1 Core Settings | Parameter | Default | Description | |-----------|---------|-------------| | K | 3 | Smoothing period for %K line | | D | 3 | Smoothing period for %D line | | RSI Length | 14 | RSI calculation period | | Stochastic Length | 14 | Lookback period for Stoch calculation | | RSI Source | Close | Price source for RSI calculation | ### 3.2 Signal Thresholds | Parameter | Default | Description | |-----------|---------|-------------| | Upper Limit | 80 | Sell signal threshold (overbought) | | Lower Limit | 20 | Buy signal threshold (oversold) | ### 3.3 Alert Settings | Parameter | Default | Description | |-----------|---------|-------------| | Enable Buy Alerts | True | Toggle buy notifications | | Enable Sell Alerts | True | Toggle sell notifications | | Custom Alert Message | Empty | Additional text for alerts | ## 4. Signal Logic ### 4.1 Buy Signal (Green ▲) Triggers when: \text{%K crossover %D} \quad AND \quad (\text{%K ≤ Lower Limit} \quad OR \quad \text{%D ≤ Lower Limit}) ### 4.2 Sell Signal (Red ▼) Triggers when: \text{%K crossunder %D} \quad AND \quad (\text{%K ≥ Upper Limit} \quad OR \quad \text{%D ≥ Upper Limit}) ## 5. Alert System ### 5.1 Auto-Generated Alerts The script automatically creates these alert conditions: - **Buy Signal Alert**: Triggers on valid buy signals - **Sell Signal Alert**: Triggers on valid sell signals Alert messages include: - Signal type (Buy/Sell) - Current %K and %D values - Custom message (if configured) ### 5.2 Alert Configuration **Method 1: Script-Generated Alerts** 1. Hover over any signal marker 2. Click the 🔔 icon 3. Select trigger conditions: - "Buy Signal Alert" - "Sell Signal Alert" **Method 2: Manual Setup** 1. Open Alert creation window 2. Condition: Select "Stoch RSI Alerts" 3. Choose: - "Buy Signal Alert" for long entries - "Sell Signal Alert" for exits/shorts ## 6. Customization Tips ### 6.1 Threshold Adjustment // For day trading (tighter ranges) upperLimit = 75 lowerLimit = 25 // For swing trading (wider ranges) upperLimit = 85 lowerLimit = 15 ### 6.2 Visual Modifications Change signal markers via: - `style=` : Try `shape.labelup`, `shape.flag`, etc. - `color=` : Use hex codes (#FF00FF) or named colors - `size=` : `size.tiny` to `size.huge` ## 7. Recommended Use Cases 1. **Mean Reversion Strategies**: Pair with support/resistance levels 2. **Trend Confirmation**: Filter with 200EMA direction 3. **Divergence Trading**: Compare with price action ## 8. Limitations - Works best in ranging markets - Combine with volume analysis for confirmation - Not recommended as standalone strategy --- This documentation follows technical writing best practices with: - Clear parameter tables - Mathematical signal logic - Visual hierarchy - Practical examples - Usage recommendations
Penunjuk Pine Script®
oleh OxJohannWu
Killzones (UTC+3) by Roy⏰ Time-Based Division – Trading Quarters: The trading day is divided into four main quarters, each reflecting distinct market behaviours: Opo Finance Blog Quarter Time (Israel Time) Description Q1 16:30–18:30 Wall Street opening; highest volatility. Q2 18:30–20:30 Continuation or correction of the opening move. Q3 20:30–22:30 Quieter market; often characterized by consolidation. Q4 22:30–24:00 Preparation for market close; potential breakouts or sharp movements. This framework assists traders in anticipating market dynamics within each quarter, enhancing decision-making by aligning strategies with typical intraday patterns.
Penunjuk Pine Script®
oleh edenalgrisi1
BW MFI fixed v6Bill Williams MFI Sure! Here’s an English description of the indicator you have: --- ### Bill Williams Market Facilitation Index (MFI) — Indicator Description This indicator implements the **Market Facilitation Index (MFI)** as introduced by Bill Williams. The MFI measures the market's willingness to move the price by comparing the price range to the volume. --- ### How it works: * **MFI Calculation:** The MFI is calculated as the difference between the current bar’s high and low prices divided by the volume of that bar: $$ \text{MFI} = \frac{\text{High} - \text{Low}}{\text{Volume}} $$ * **Color Coding Logic:** The indicator compares the current MFI and volume values to their previous values and assigns colors to visualize market conditions according to Bill Williams’ methodology: | Color | Condition | Market Interpretation | | ----------- | ------------------ | --------------------------------------------------------------------------------------------- | | **Green** | MFI ↑ and Volume ↑ | Strong trend continuation or acceleration (increased price movement supported by volume) | | **Brown** | MFI ↓ and Volume ↓ | Trend weakening or possible pause (both price movement and volume are decreasing) | | **Blue** | MFI ↑ and Volume ↓ | Possible false breakout or lack of conviction (price moves but volume decreases) | | **Fuchsia** | MFI ↓ and Volume ↑ | Market indecision or battle between bulls and bears (volume rises but price movement shrinks) | | **Gray** | None of the above | Neutral or unchanged market condition | * **Display:** The indicator plots the MFI values as colored columns on a separate pane below the price chart, providing a visual cue of the market’s behavior. --- ### Purpose: This tool helps traders identify changes in market momentum and the strength behind price moves, providing insight into when trends might accelerate, weaken, or potentially reverse. --- If you want, I can help you write a more detailed user guide or trading strategy based on this indicator!
Penunjuk Pine Script®
oleh nikolaievmihail