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ZZUltraOverview: ZZUltra is a powerful price action filter designed to identify significant swing highs and lows by eliminating market noise. Unlike the default, this version offers enhanced customization and dynamic behavior, making it ideal for trend analysis, pattern recognition, and timing entries/exits. Note that it is a lagging indicator and for the optimized live version go to Ultraalgo.com Key Features: 📏 Adjustable Depth, Deviation & Backstep: Fine-tune how sensitive the indicator is to price reversals. 🔍 Dynamic Labeling: Mark each swing with customizable labels (e.g., UltraBuy/UltraShort). 🎨 Clean Visuals: Optional colored lines and markers that clearly connect turning points without overwhelming your chart. 🧠 Built-in Smart Filtering: Filters out minor fluctuations to focus on meaningful market structure. 🧰 Multi-Timeframe Compatible: Works across any timeframe for both scalpers and swing traders. Use Cases: Confirming trend structure (e.g., higher highs/lows in uptrends). Identifying key reversal points. Recognizing patterns like head & shoulders or double tops. Combining with RSI, MACD, or volume for confluence.
Pine Script® göstergesi
antonini2002 tarafından
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AshishBediSPLAshishBediSPL: Dynamic Premium Analysis with Integrated Signals This indicator provides a comprehensive view of combined options premiums by aggregating data from Call and Put contracts for a selected index and expiry. It integrates multiple popular technical indicators like EMA Crossover, Supertrend, VWAP, RSI, and SMA, allowing users to select their preferred tools for generating dynamic buy and sell signals directly on the premium chart. AshishBediSPL" is a powerful TradingView indicator designed to analyze options premiums. It calculates a real-time combined premium for a chosen index (NIFTY, BANKNIFTY, FINNIFTY, etc.) and specific expiry date. You have the flexibility to visualize the premium of Call options, Put options, or a combined premium of both. The indicator then overlays several popular technical analysis tools, which you can selectively enable: EMA Crossover: Identify trend changes with configurable fast and slow Exponential Moving Averages. Supertrend: Detect trend direction and potential reversal points. VWAP (Volume Weighted Average Price): Understand the average price of the premium considering trading volume. RSI (Relative Strength Index): Gauge momentum and identify overbought/oversold conditions. SMA (Simple Moving Average): Analyze price smoothing and trend identification. Based on your selected indicators, the tool generates clear "Buy" and "Sell" signals directly on the chart, helping you identify potential entry and exit points. Customizable alerts are also available to keep you informed. Unlock a new perspective on options trading with "AshishBediSPL." This indicator focuses on the combined value of options premiums, giving you a consolidated view of market sentiment for a chosen index and expiry. Instead of just looking at individual option prices, "AshishBediSPL" blends the Call and Put premiums (or focuses on one, based on your preference) and empowers you with a suite of built-in technical indicators: EMA, Supertrend, VWAP, RSI, and SMA. Pick the indicators that resonate with your strategy, and let the tool generate actionable buy and sell signals right on your chart. With customizable alerts, you'll never miss a crucial market move. Gain deeper insights and make more informed trading decisions with "AshishBediSPL. Combined options premium: This accurately describes what your indicator calculates. Selected index and expiry: Essential inputs for the indicator. Call/Put options or combined: Explains the flexibility in data display. Multiple technical indicators (EMA Crossover, Supertrend, VWAP, RSI, SMA): Lists the analysis tools included. Buy/Sell signals: The primary output of the indicator. Customizable alerts: A valuable feature for users.
Pine Script® göstergesi
shivanshbedi2 tarafından
ZZUltraAlgo Basic EditionBasic set-up non optimized ZZ indicator. Use ultraalgo.com for the optimized / live (no lag, great for active live trading vs. look-back analysis) version Overview: ZZ is a powerful lagging price action filter designed to identify significant swing highs and lows by eliminating market noise. Unlike the default, this version offers enhanced customization and dynamic behavior, making it ideal for trend analysis, pattern recognition, and timing entries/exits. Key Features: 📏 Adjustable Depth, Deviation & Backstep: Fine-tune how sensitive the indicator is to price reversals. 🔍 Dynamic Labeling: Mark each swing with customizable labels (e.g., HH, HL, LH, LL or custom terms like UltraBuy/UltraShort). 🎨 Clean Visuals: Optional colored lines and markers that clearly connect turning points without overwhelming your chart. 🧠 Built-in Smart Filtering: Filters out minor fluctuations to focus on meaningful market structure. 🧰 Multi-Timeframe Compatible: Works across any timeframe for both scalpers and swing traders. Use Cases: Confirming trend structure (e.g., higher highs/lows in uptrends). Identifying key reversal points. Recognizing patterns like head & shoulders or double tops. Combining with RSI, MACD, or volume for confluence.
Pine Script® göstergesi
antonini2002 tarafından
ZigZag++ UltraAlgo EditionBasic set-up non optimized ZZ indicator. Use ultraalgo.com for the optimized / live (no lag) version Overview: ZZ is a powerful lagging price action filter designed to identify significant swing highs and lows by eliminating market noise. Unlike the default, this version offers enhanced customization and dynamic behavior, making it ideal for trend analysis, pattern recognition, and timing entries/exits. Key Features: 📏 Adjustable Depth, Deviation & Backstep: Fine-tune how sensitive the indicator is to price reversals. 🔍 Dynamic Labeling: Mark each swing with customizable labels (e.g., HH, HL, LH, LL or custom terms like UltraBuy/UltraShort). 🎨 Clean Visuals: Optional colored lines and markers that clearly connect turning points without overwhelming your chart. 🧠 Built-in Smart Filtering: Filters out minor fluctuations to focus on meaningful market structure. 🧰 Multi-Timeframe Compatible: Works across any timeframe for both scalpers and swing traders. Use Cases: Confirming trend structure (e.g., higher highs/lows in uptrends). Identifying key reversal points. Recognizing patterns like head & shoulders or double tops. Combining with RSI, MACD, or volume for confluence.
Pine Script® göstergesi
antonini2002 tarafından
Trend Reversals(Mastersinnifty)Description The Trend Reversals (Mastersinnifty) indicator highlights potential turning points in price direction using an ATR-based trailing stop mechanism. It provides clear trend reversal signals on the chart to help traders identify possible entry or exit points based on price behavior and volatility. How It Works This indicator applies a custom trailing stop logic inspired by SuperTrend-style mechanisms. It uses the Average True Range (ATR) to dynamically calculate upper and lower stop levels and monitors for price breaches that may indicate a shift in trend direction. Trend change signals are plotted using conditional logic that compares price behavior against trailing levels, with labels appearing: Below candles for bullish reversals Above candles for bearish reversals Inputs Value for trend change – Threshold in % used to filter valid reversal signals. ATR Periods – Number of bars for ATR calculation (internally fixed at 1 in the script). Multiplier – Determines the sensitivity of the trailing bands (set internally). Change ATR Type – Allows switching between standard ATR and SMA-based True Range. Use Case This tool is ideal for: Spotting trend reversals early in intraday or swing trades. Filtering false breakouts using volatility-adjusted thresholds. Combining with other indicators like volume or oscillators for confirmation. Use on trending instruments to ride swings more efficiently. Disclaimer This indicator is a technical analysis tool and does not guarantee any specific outcome. Always use with proper risk management and in conjunction with other forms of analysis. The author is not responsible for any financial losses incurred through the use of this script.
Pine Script® göstergesi
Mastersinnifty tarafından
INDI HẰNG //@version=5 indicator("CM SlingShot System (Customizable)", overlay=true, shorttitle="CM_SSS") // ==== 📌 INPUT SETTINGS ==== group1 = "Entry Settings" sae = input.bool(true, title="📍 Show Aggressive Entry (pullback)?", group=group1) sce = input.bool(true, title="📍 Show Conservative Entry (confirmation)?", group=group1) group2 = "Visual Settings" st = input.bool(true, title="🔼 Show Trend Arrows (top/bottom)?", group=group2) sl = input.bool(false, title="🅱🆂 Show 'B' & 'S' Letters Instead of Arrows", group=group2) pa = input.bool(true, title="🡹🡻 Show Entry Arrows", group=group2) group3 = "MA Settings" fastLength = input.int(38, title="Fast EMA Period", group=group3) slowLength = input.int(62, title="Slow EMA Period", group=group3) timeframe = input.timeframe("D", title="Timeframe for EMAs", group=group3) // ==== 📈 EMA CALCULATIONS ==== emaFast = request.security(syminfo.tickerid, timeframe, ta.ema(close, fastLength)) emaSlow = request.security(syminfo.tickerid, timeframe, ta.ema(close, slowLength)) col = emaFast > emaSlow ? color.lime : emaFast < emaSlow ? color.red : color.gray // ==== ✅ SIGNAL CONDITIONS ==== pullbackUp = emaFast > emaSlow and close < emaFast pullbackDn = emaFast < emaSlow and close > emaFast entryUp = emaFast > emaSlow and close < emaFast and close > emaFast entryDn = emaFast < emaSlow and close > emaFast and close < emaFast // ==== 🌈 CHART PLOTS ==== plot(emaFast, title="Fast EMA", color=color.new(col, 0), linewidth=2) plot(emaSlow, title="Slow EMA", color=color.new(col, 0), linewidth=4) fill(plot(emaSlow, title="", color=color.new(col, 0)), plot(emaFast, title="", color=color.new(col, 0)), color=color.silver, transp=70) // Highlight bars barcolor(sae and (pullbackUp or pullbackDn) ? color.yellow : na) barcolor(sce and (entryUp or entryDn) ? color.aqua : na) // Trend arrows upTrend = emaFast >= emaSlow downTrend = emaFast < emaSlow plotshape(st and upTrend, title="UpTrend", style=shape.triangleup, location=location.belowbar, color=color.green) plotshape(st and downTrend, title="DownTrend", style=shape.triangledown, location=location.abovebar, color=color.red) // Entry indicators plotarrow(pa and entryUp ? 1 : na, colorup=color.green, offset=-1) plotarrow(pa and entryDn ? -1 : na, colordown=color.red, offset=-1) plotchar(sl and entryUp ? low - ta.tr : na, char="B", location=location.absolute, color=color.green) plotchar(sl and entryDn ? high + ta.tr : na, char="S", location=location.absolute, color=color.red)
Pine Script® göstergesi
MsLEO89 tarafından
SwingSignal RSI Overlay AdvancedSwingSignal RSI Overlay Advanced By BFAS This advanced indicator leverages the Relative Strength Index (RSI) to pinpoint critical market reversal points by highlighting key swing levels with intuitive visual markers. Key Features: Detects overbought and oversold levels with customizable RSI period and threshold settings. Visually marks swing points: Red star (HH) for Higher Highs. Yellow star (LH) for Lower Highs. Blue star (HL) for Higher Lows. Green star (LL) for Lower Lows. Connects swings with lines, aiding in the analysis of market structure. Optimized for use on the main chart (overlay), tracking candles in real time. This indicator provides robust visual support for traders aiming to identify price patterns related to RSI momentum, facilitating entry and exit decisions based on clear swing signals.
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BFAS76 tarafından
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands). Trade Triggers: 🟢 BUY SIGNAL: When: Price crosses above the lower Bollinger Band Logic: Price has hit oversold territory and is bouncing back Action: Places a long position with stop at the lower band 🔴 SELL SIGNAL: When: Price crosses below the upper Bollinger Band Logic: Price has hit overbought territory and is pulling back Action: Places a short position with stop at the upper band
Pine Script® stratejisi
meowBTC tarafından
Gap Forecast Signals with Success Ratio(Mastersinnifty)Description This indicator forecasts potential market direction based on price gaps at market open. It identifies gap-ups and gap-downs, color-codes background conditions, and displays forecast labels for the next session. Additionally, it evaluates the historical accuracy of its forecasts using a rolling success ratio. How It Works Compares the current open price to the previous close to calculate a percentage gap. Classifies the gap as bullish, bearish, or neutral based on a user-defined threshold. At the end of each day, the forecast is compared to the actual price movement to assess success. Displays key statistics: success ratio, sample size, and correct/total count. Visual cues include background colors, forecast labels, and optional table display. Alerts can be triggered on bullish or bearish gap detection. Inputs Gap Threshold (%): Minimum gap size (in percent) to classify as significant. Show Forecast Labels: Enables labels at end-of-day forecasting. Show Background Color: Enables colored backgrounds based on forecast type. Success Ratio Lookback Period: Defines how many previous days are used to calculate forecast accuracy. Use Case Traders seeking to understand the directional impact of opening price gaps. Useful in gap trading strategies to confirm bullish or bearish biases. Applies to intraday or daily charts where overnight gaps occur. Traders wanting to evaluate the historical performance of gap-based predictions. Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice. Use it with proper risk management and discretion. Past performance does not guarantee future results.
Pine Script® göstergesi
Mastersinnifty tarafından
caracalla ema long short signal📌 Indicator Name caracalla ema long short signal This script generates long and short trading signals using multiple technical indicators: EMAs, MACD, RSI, Stochastic, and volume. 🔧 Indicators Used 1. Exponential Moving Averages (EMA) ema5, ema20, ema60, ema120 — used to determine overall trend direction. 2. Trend Confirmation (MA Alignment) Bullish alignment: ema5 > ema20 > ema60 > ema120 Bearish alignment: ema5 < ema20 < ema60 < ema120 3. Crossover Signals Golden Cross: ema5 crosses above ema20 Dead Cross: ema5 crosses below ema20 4. MACD Standard parameters: 12, 26, 9 MACD Long: MACD line crosses above signal line MACD Short: MACD line crosses below signal line 5. RSI & Stochastic RSI(14): checks momentum Stochastic (%K, %D) Bullish: RSI > 50 and Stochastic %K crosses above %D Bearish: RSI < 50 and Stochastic %K crosses below %D 6. Volume Filter 20-period simple average volume Volume Up: Current volume > 120% of average Volume Down: Current volume < 80% of average ✅ Signal Logic 📈 Long Signal (longSignal) Triggered when 3 or more of the following are true: EMA bullish alignment Golden cross MACD bullish crossover RSI > 50 and Stochastic bullish crossover High volume 📉 Short Signal (shortSignal) Triggered when 3 or more of the following are true: EMA bearish alignment Dead cross MACD bearish crossover RSI < 50 and Stochastic bearish crossover Low volume 📊 Visual Elements Long Signal: Green “롱” label below the candle Short Signal: Red “숏” label above the candle EMA Lines: EMA5 (Blue) EMA20 (Orange) EMA60 (Green) EMA120 (Red)
Pine Script® göstergesi
caracalla7 tarafından
Lorentzian Key Support and Resistance Level Detector [mishy]🧮 Lorentzian Key S/R Levels Detector Advanced Support & Resistance Detection Using Mathematical Clustering The Problem Traditional S/R indicators fail because they're either subjective (manual lines), rigid (fixed pivots), or break when price spikes occur. Most importantly, they don't tell you where prices actually spend time, just where they touched briefly. The Solution: Lorentzian Distance Clustering This indicator introduces a novel approach by using Lorentzian distance instead of traditional Euclidean distance for clustering. This is groundbreaking for financial data analysis. Data Points Clustering: 🔬 Why Euclidean Distance Fails in Trading Traditional K-means uses Euclidean distance: • Formula: distance = (price_A - price_B)² • Problem: Squaring amplifies differences exponentially • Real impact: One 5% price spike has 25x more influence than a 1% move • Result: Clusters get pulled toward outliers, missing real support/resistance zones Example scenario: Prices: ← flash spike Euclidean: Centroid gets dragged toward 150 Actual S/R zone: Around 100 (where prices actually trade) ⚡ Lorentzian Distance: The Game Changer Our approach uses Lorentzian distance: • Formula: distance = log(1 + (price_difference)² / σ²) • Breakthrough: Logarithmic compression keeps outliers in check • Real impact: Large moves still matter, but don't dominate • Result: Clusters focus on where prices actually spend time Same example with Lorentzian: Prices: ← flash spike Lorentzian: Centroid stays near 100 (real trading zone) Outlier (150): Acknowledged but not dominant 🧠 Adaptive Intelligence The σ parameter isn't fixed,it's calculated from market disturbance/entropy: • High volatility: σ increases, making algorithm more tolerant of large moves • Low volatility: σ decreases, making algorithm more sensitive to small changes • Self-calibrating: Adapts to any instrument or market condition automatically Why this matters: Traditional methods treat a 2% move the same whether it's in a calm or volatile market. Lorentzian adapts the sensitivity based on current market behavior. 🎯 Automatic K-Selection (Elbow Method) Instead of guessing how many S/R levels to draw, the indicator: • Tests 2-6 clusters and calculates WCSS (tightness measure) • Finds the "elbow" - where adding more clusters stops helping much • Uses sharpness calculation to pick the optimal number automatically Result: Perfect balance between detail and clarity. How It Works 1. Collect recent closing prices 2. Calculate entropy to adapt to current market volatility 3. Cluster prices using Lorentzian K-means algorithm 4. Auto-select optimal cluster count via statistical analysis 5. Draw levels at cluster centers with deviation bands 📊 Manual K-Selection Guide (Using WCSS & Sharpness Analysis) When you disable auto-selection, use both WCSS and Sharpness metrics from the analysis table to choose manually: What WCSS tells you: • Lower WCSS = tighter clusters = better S/R levels • Higher WCSS = scattered clusters = weaker levels What Sharpness tells you: • Higher positive values = optimal elbow point = best K choice • Lower/negative values = poor elbow definition = avoid this K • Measures the "sharpness" of the WCSS curve drop-off Decision strategy using both metrics: K=2: WCSS = 150.42 | Sharpness = - | Selected = K=3: WCSS = 89.15 | Sharpness = 22.04 | Selected = ✓ ← Best choice K=4: WCSS = 76.23 | Sharpness = 1.89 | Selected = K=5: WCSS = 73.91 | Sharpness = 1.43 | Selected = Quick decision rules: • Pick K with highest positive Sharpness (indicates optimal elbow) • Confirm with significant WCSS drop (30%+ reduction is good) • Avoid K values with negative or very low Sharpness (<1.0) • K=3 above shows: Big WCSS drop (41%) + High Sharpness (22.04) = Perfect choice Why this works: The algorithm finds the "elbow" where adding more clusters stops being useful. High Sharpness pinpoints this elbow mathematically, while WCSS confirms the clustering quality. Elbow Method Visualization: Traditional clustering problems: ❌ Price spikes distort results ❌ Fixed parameters don't adapt ❌ Manual tuning is subjective ❌ No way to validate choices Lorentzian solution: ☑️ Outlier-resistant distance metric ☑️ Entropy-based adaptation to volatility ☑️ Automatic optimal K selection ☑️ Statistical validation via WCSS & Sharpness Features Visual: • Color-coded levels (red=highest resistance, green=lowest support) • Optional deviation bands showing cluster spread • Strength scores on labels: Each cluster shows a reliability score. • Higher scores (0.8+) = very strong S/R levels with tight price clustering • Lower scores (0.6-0.7) = weaker levels, use with caution • Based on cluster tightness and data point density • Clean line extensions and labels Analytics: • WCSS analysis table showing why K was chosen • Cluster metrics and statistics • Real-time entropy monitoring Control: • Auto/manual K selection toggle • Customizable sample size (20-500 bars) • Show/hide bands and metrics tables The Result You get mathematically validated S/R levels that focus on where prices actually cluster, not where they randomly spiked. The algorithm adapts to market conditions and removes guesswork from level selection. Best for: Traders who want objective, data-driven S/R levels without manual chart analysis. Credits: This script is for educational purposes and is inspired by the work of @ThinkLogicAI and an amazing mentor @DskyzInvestments . It demonstrates how Lorentzian geometrical concepts can be applied not only in ML classification but also quite elegantly in clustering.
Pine Script® göstergesi
mishy_Champ tarafından
BTC Scalping Pro Signal//@version=5 indicator("BTC Scalping Pro Signal", overlay=true) // === INPUT PARAMETER === rsiLength = input.int(14, title="RSI Period") rsiOverbought = input.int(70, title="RSI Overbought") rsiOversold = input.int(30, title="RSI Oversold") // === WAKTU TRADING AKTIF (WIB) === startHour = input.int(8, title="Start Hour (WIB)") endHour = input.int(22, title="End Hour (WIB)") inSession = (hour(time, "Asia/Jakarta") >= startHour and hour(time, "Asia/Jakarta") < endHour) // === INDIKATOR === = ta.macd(close, 12, 26, 9) macdCrossUp = ta.crossover(macdLine, signalLine) macdCrossDown = ta.crossunder(macdLine, signalLine) rsi = ta.rsi(close, rsiLength) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) bullTrend = ema50 > ema200 bearTrend = ema50 < ema200 vol = volume avgVol = ta.sma(vol, 20) volSpike = vol > avgVol * 1.2 // volume naik minimal 20% dari rata-rata // === SINYAL AKURAT === buySignal = inSession and macdCrossUp and bullTrend and rsi < rsiOversold and volSpike sellSignal = inSession and macdCrossDown and bearTrend and rsi > rsiOverbought and volSpike // === TANDA DI CHART === plotshape(buySignal, title="Buy", location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", textcolor=color.white) plotshape(sellSignal, title="Sell", location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", textcolor=color.white) plot(ema50, title="EMA 50", color=color.teal) plot(ema200, title="EMA 200", color=color.orange) // === ALERT UNTUK BOT / TELEGRAM === alertcondition(buySignal, title="Scalping BUY Alert", message="SCALPING PRO BUY BTC at {{close}}") alertcondition(sellSignal, title="Scalping SELL Alert", message="SCALPING PRO SELL BTC at {{close}}")
Pine Script® göstergesi
KANZAPRO71 tarafından
Titan Wick Zone IndicatorThe Titan Wick Zone Indicator visually highlights the upper and lower wick regions of each candlestick on your chart, helping traders instantly identify areas where price was aggressively rejected (top wick) or absorbed (bottom wick). The indicator fills the area above the candle body to the wick high in red (sell zone), and the area below the candle body to the wick low in green (buy zone), both with adjustable opacity for clear visibility. How to Use: Spot Rejection and Absorption: The red-filled upper wick zone marks where upward price moves were sharply rejected by sellers, often indicating supply, resistance, or “stop hunt” zones. The green-filled lower wick zone marks where downward price moves were absorbed by buyers, pointing to potential demand, support, or accumulation zones. Enhance Price Action Analysis: Use these zones to avoid entering trades at price extremes, spot potential reversals, and find areas of confluence with support/resistance, Fibonacci levels, or order blocks. Risk Management: The indicator helps visualize where liquidity hunts or false breakouts may occur, so you can better place stop losses outside of volatile wick zones. Ideal For: Price action traders, scalpers, and swing traders seeking a visual edge in spotting supply/demand dynamics, liquidity zones, and wick-driven traps.
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Crypt0Titan tarafından
مؤشر مشعل المتكاملThis indicator combines key technical analysis tools to help traders identify buy/sell zones, support/resistance levels, liquidity spikes, and Fibonacci retracement levels — all with customizable toggles. • Buy/Sell Signals: Uses RSI filtered by 50-period SMA trend to highlight high-probability entries. • Liquidity Zones: Marks volume spikes to indicate potential strong market interest. • Support & Resistance: Automatically plots recent pivot highs and lows. • Fibonacci Levels: Draws Fibonacci retracement levels based on the latest significant swing. • Alerts: Provides smart alerts for confirmed buy or sell opportunities. • Customization: Each feature can be enabled or disabled from the indicator’s
Pine Script® göstergesi
al3nbr31 tarafından
3-1-3 PatternThis Pine Script indicator analyzes and visualizes a specific candlestick pattern called the "3-1-3 Pattern" across multiple timeframes. Here's what it does: Core Functionality Pattern Detection: The script looks for a 7-bar candlestick pattern: Bearish 3-1-3: 3 red candles + 1 green candle + 3 red candles Bullish 3-1-3: 3 green candles + 1 red candle + 3 green candles Visual Output When a 3-1-3 pattern is detected, the script: Creates a colored box around the middle bar (bar 3) of the pattern Adds a small label showing the pattern type ("Bear 1H" or "Bull 4H", etc.) Extends the box forward until the price breaks above the pattern's high or below its low Pattern Management The script actively manages the patterns by: Tracking active patterns for each timeframe separately Removing expired patterns when price breaks the pattern's high/low levels Extending boxes to the current time to keep them visible Practical Use This indicator helps traders: Spot reversal patterns across multiple timeframes simultaneously See confluence when patterns align on different timeframes Track pattern validity (boxes disappear when invalidated by price action) Essentially, it's a multi-timeframe pattern recognition tool that automatically identifies and tracks these specific 7-bar reversal patterns on your chart.
Pine Script® göstergesi
pleiva1997 tarafından