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Tamil | Trend Signal Dashboard for trading“Tamil | Trend Signal in Dashboard” is a multi-confirmation trend and signal tool that combines Supertrend, RSI/ADX trend strength, and dual QQE into one clean dashboard on the chart. It only prints STRONG BUY / STRONG SELL when all components align, and it also gives clear, rule-based exit signals. ⸻ What it uses • RSI + ADX + ATR trend block • ADX (with custom length & threshold) to measure trend strength • +DI / –DI to define bullish or bearish direction • Optional session filter so signals only appear in your trading window • Custom Supertrend • ATR-based bands with adjustable period & multiplier • Plots trend line on chart and shows Buy/Sell flip labels when Supertrend reverses • Dual QQE MOD engine • Two QQE/RSI streams (primary & secondary) • Bollinger bands around QQE line to confirm true momentum breakouts • Defines QQE Bullish / Bearish states • Secondary RSI Histogram logic • Tracks RSI distance from the 50 line • Detects “peak & decline” on the histogram for momentum-based exits ⸻ Signals & Exits • Entry • Strong Buy: Supertrend bullish + strong ADX + DI bullish + QQE bullish • Strong Sell: Supertrend bearish + strong ADX + DI bearish + QQE bearish • Background is softly colored green/red while alignment is active • Exit (configurable) • Alignment lost (trend components no longer agree), and/or • First peak-and-decline in the secondary RSI histogram • Shows Exit Buy / Exit Sell markers and fires dedicated alerts ⸻ Dashboard & Alerts A compact table in the top-right shows live status of: • Supertrend • ADX value & strength check • Direction from DI • QQE state • Secondary RSI histogram slope • Overall Alignment and current Signal (Hold / Strong Buy / Strong Sell / Exit)
Pine Script® indicator
by haimpts
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix Version: PineScript™ v6 📌 Description The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions. Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence. The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time. 🚀 Points of Innovation First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence Configurable minimum occurrence threshold filters out statistically insignificant predictions Real-time probability visualization with graphical confidence bars 🔧 Core Components Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern 🔥 Key Features Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge 🎨 Visualization Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification Customizable Table Position: Place probability display in any corner of your chart 📖 Usage Guidelines N-Gram Configuration N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data. Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior. Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability. SMC Detection Settings Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis. FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps. Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations. Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points. Display Settings Show Probability Table: Toggle the probability matrix display on/off. Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display. Show SMC Markers: Toggle on-chart pattern labels. ✅ Best Use Cases Anticipating continuation or reversal patterns after liquidity sweeps Identifying high-probability BOS/CHoCH sequences for trend trading Filtering FVG and Order Block signals based on historical follow-through rates Building confluence by comparing predicted patterns with other technical analysis Studying how SMC patterns typically sequence on specific instruments or timeframes ⚠️ Limitations Predictions are based solely on historical pattern frequency and do not account for fundamental factors Low sample counts produce unreliable probabilities—always check the Samples display Market regime changes can invalidate historical transition patterns The indicator requires sufficient historical data to build meaningful probability matrices Pattern detection uses standardized parameters that may not capture all institutional activity 💡 What Makes This Unique Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework 🔬 How It Works 1. Pattern Detection Phase Each bar is analyzed for SMC formations using configurable detection parameters A priority hierarchy assigns the most significant pattern when multiple detections occur 2. Sequence Encoding Phase Detected patterns are stored in a rolling history buffer of recent classifications The current N-gram context is encoded into a unique integer identifier 3. Matrix Construction Phase Historical pattern sequences are iterated to count transition occurrences Each context-to-next-pattern transition increments the appropriate matrix cell 4. Probability Calculation Phase Current context ID retrieves corresponding transition counts from the matrix Raw counts are converted to percentages based on total context occurrences 5. Visualization Phase Probabilities are sorted and the top N predictions are displayed in the table Chart markers identify the current detected pattern for visual reference 💡 Note: This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Pine Script® indicator
by PhenLabs
Advanced Breakout System v2.0Advanced Breakout System v2.0 Developed by: Mohammed Bedaiwi This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure. The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength. 💡 JUSTIFICATION OF CONCEPTS (MASHUP & ORIGINALITY) This script is an original mashup combining several analytical concepts to address common breakout failures: Volatility Compression Engine: Uses built-in functions like ta.highest() and ta.lowest() to mathematically define the setup phase where price volatility is compressed below a user-defined threshold. Volume Spike Confirmation: The breakout must be confirmed by a volume increase greater than a moving average of volume, signaling strong market interest. Smart Volume Filter (OBV): This is the key component. By checking if ta.obv is above its own Moving Average, we confirm that accumulation has been occurring during the consolidation period, suggesting institutional positioning before the price break. Multi-Exit Risk System: Employs dynamic exits (EMA cross, volume dump, bearish pattern) instead of static stop-losses to manage risk adaptively based on real-time market action. Market Structure Visualization: The script also includes a Support & Resistance engine to plot key swing pivots and price labels for visual context. ✅ STRATEGY RESULTS & POLICY COMPLIANCE To ensure non-misleading and transparent backtesting results, this strategy is published with the following fully compliant properties: Dataset Compliance: The backtest is performed on the CMTL Daily (1D) chart across a long history, generating 201 total trades. This significantly exceeds the minimum requirement of 100 trades, providing a robust test dataset. Risk Control: The strategy uses a conservative order size set to 2% of equity (default_qty_value=2), strictly adhering to the sustainable risk recommendation of 5-10% of equity per trade. Transaction Costs: Realistic trading conditions are modeled using 0.07% commission and 3 ticks slippage to prevent the overestimation of profitability. ⚙️ VISUAL GUIDE & SIGNAL LOGIC Key Color Legend (Visual Guide): WATCH – Setup (Yellow Arrow Down): Potential breakout setup detected. BUY – Confirmation (Green Arrow Up): Confirmed breakout, triggered when price trades above the high of the WATCH candle. SELL – Break (Orange Arrow): Short-term trend weakness, triggered when price closes below the Fast EMA (9). SELL – Dump (Dark Red Arrow): Distribution / volume dump, triggered by a bearish candle with abnormally high volume. SELL – Pattern (Purple Arrow): Bearish price-action pattern (such as a bearish engulfing). Support & Resistance Lines (Red/Green): Small horizontal lines plotted at key swing points with exact price labels. ⌨️ INPUTS (DEFAULT SETTINGS) Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal on high-momentum moves. Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume. Support & Resistance: Adjustable Pivot Left/Right bars control the sensitivity of the support and resistance lines. ⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management. This is an open-source strategy; users are encouraged to test it across different symbols and timeframes.
Pine Script® strategy
by mbedaiwi2
ueuito Trend Strength LSMA-BasedAnother experience.... still improving Indicator Description (English) Name: Trend Strength LSMA-Based Overview: This indicator is designed to measure the strength and exhaustion of a trend based on the Least Squares Moving Average (LSMA). It combines price, trend slope, volume, and volatility to calculate a trend exhaustion score, which is then smoothed and visualized as a colored area on the chart. The indicator also plots discrete points to signal potential reversals or decreases in trend intensity. Key Features: LSMA-Based Trend Strength: Calculates a Least Squares Moving Average (LSMA) of the selected timeframe. Measures the slope of the LSMA to capture trend direction and momentum. Trend Exhaustion Score: Combines multiple factors: Distance between price and LSMA LSMA slope (trend strength) Volume relative to its moving average ATR-based volatility Each factor is weighted according to user-defined inputs. The combined score is multiplied to produce a scaled trend exhaustion value. Smoothed Area Plot: The trend exhaustion score is smoothed using an EMA to reduce noise. Displayed as a colored area that changes based on trend strength: Strong bullish exhaustion → dark green Weak bullish exhaustion → light green Strong bearish exhaustion → dark red Weak bearish exhaustion → light red Neutral → gray Dynamic Visual Cues: Points for reversals: small green/red circles appear when the trend changes direction. Points for intensity decrease: small green/red circles appear when the trend weakens but has not yet reversed. The area’s color intensity dynamically reflects the strength of the trend exhaustion, making it visually intuitive. Multi-Timeframe Support: The indicator can calculate the trend exhaustion based on a different timeframe from the chart, allowing for higher timeframe trend analysis on lower timeframe charts. Customizable Settings: LSMA period, smoothing length, volume period, ATR period Weighting for each factor in the score calculation Thresholds for weak/strong exhaustion Timeframe selection Usage: Identify when a trend is losing strength or approaching a potential reversal. Helps visualize the current momentum and exhaustion of bullish or bearish trends. Can be used in conjunction with other technical tools for confirming entries or exits. Important Note: Depending on the asset, market volatility, and timeframe, it may be necessary to adjust the indicator settings to optimize its responsiveness and accuracy. The default parameters provide a general starting point but fine-tuning is recommended for best results.
Pine Script® indicator
by ueuito
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script: ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis Overview This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions. Key Innovation: Why Alt/BTC Matters Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength: When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity) When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits) This approach captures the rotation between BTC and alts that drives crypto cycles Key Features 📊 Advanced Technical Analysis RSI (60% weight): Primary momentum indicator on weekly timeframe Long-term MA Deviation (35% weight): Measures distance from 150-period baseline MACD (5% weight): Minor confirmation signal EMA Smoothing: Filters noise while maintaining responsiveness All calculations performed on Alt/BTC pairs for superior market timing 💰 3-Tier DCA System Level 1 (Risk ≤ 70): Conservative entry, base allocation Level 2 (Risk ≤ 50): Increased allocation, strong opportunity Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation Continuous buying: Executes every bar while below threshold for true DCA behavior Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined 📈 Smart Profit Management Sequential selling: Must complete L1 before L2, L2 before L3 Percentage-based exits: Sell portions of position, not fixed amounts Auto-reset on re-entry: New buy signals reset sell progression Prevents premature full exits during volatile conditions 🤖 3Commas Automation Pre-configured JSON webhooks for Custom Signal Bots Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit Flexible quote currency: USD, USDT, or BUSD Dynamic order sizing: Automatically adjusts to your tier thresholds Full webhook documentation compliance 🎨 Multi-Asset Support Pre-configured for popular altcoins: ETH (Ethereum) SOL (Solana) ADA (Cardano) LINK (Chainlink) UNI (Uniswap) XRP (Ripple) DOGE RENDER Custom option for any other crypto How It Works Risk Metric Calculation (0-100 scale): Fetches weekly Alt/BTC price data for stability Calculates RSI, MACD, and deviation from 150-period MA Normalizes MACD to 0-100 range using 500-bar lookback Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35) Applies 5-period EMA smoothing for cleaner signals Color-Coded Risk Zones: Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC Lime/Yellow (30-70): Accumulation range - favorable risk/reward Orange (70-85): Caution zone - consider taking initial profits Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking Entry Logic: Buys execute every candle when risk is below threshold As risk decreases, position sizing automatically scales up Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate Exit Logic: Sells only trigger when in profit AND risk exceeds thresholds Sequential execution ensures partial profit-taking If new buy signal occurs before all sells complete, sell levels reset to L1 Configuration Guide Choosing Your Altcoin: Select crypto from dropdown (or use CUSTOM for unlisted coins) Pick your exchange Choose quote currency (USD, USDT, BUSD) Risk Metric Tuning: Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent RSI Length (default 10): Lower = more volatile, Higher = smoother Smoothing (default 5): Increase for less noise, decrease for faster reaction Buy Settings (Aggressive DCA Example): L1 Threshold: 70 | Amount: $5 L2 Threshold: 50 | Amount: $6 L3 Threshold: 30 | Amount: $7 Total L3 buy = $18 per candle when deeply oversold Sell Settings (Balanced Exit Example): L1: 70 threshold, 25% position L2: 85 threshold, 35% position L3: 100 threshold, 40% position (final exit) 3Commas Setup Bot Configuration: Create Custom Signal Bot in 3Commas Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT) Order size: Select "Send in webhook, quote" to use strategy's dollar amounts Copy Bot UUID and Secret Token Script Configuration: Paste credentials into 3Commas section inputs Check "Enable 3Commas Alerts" Save and apply to chart TradingView Alert: Create Alert → Condition: "alert() function calls only" Webhook URL: api.3commas.io Enable "Webhook URL" checkbox Expiration: Open-ended Strategy Advantages ✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations ✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump ✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward) ✅ Emotional Discipline: Systematic approach removes fear and FOMO ✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously ✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools Backtesting Insights Optimal Timeframes: Daily chart: Best for backtesting and signal generation Weekly data is fetched internally regardless of display timeframe Historical Performance Characteristics: Accumulates heavily during bear markets and BTC dominance periods Captures explosive altcoin rallies when BTC stagnates Sequential selling preserves capital during extended downtrends Works best on established altcoins with multi-year history Risk Considerations: Requires capital reserves for extended accumulation periods Some altcoins may never recover if fundamentals deteriorate Past correlation patterns may not predict future performance Always size positions according to personal risk tolerance Visual Interface Indicator Panel Displays: Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases Horizontal threshold lines: Dashed lines mark your buy/sell levels Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells Real-time risk value: Numerical display on price scale Customization: All threshold lines are adjustable via inputs Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum) Line weights emphasize most extreme thresholds (L3 buy and L3 sell) Strategy Philosophy This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision. The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns. Advanced Tips Multi-Bot Strategy: Run this on 5-10 different altcoins simultaneously to: Diversify correlation risk Capture whichever alt is pumping Smooth equity curve through rotation Pairing with BTC Strategy: Use alongside the BTC DCA Risk Strategy for complete portfolio coverage: BTC strategy for core holdings ALT strategies for alpha generation Rebalance between them based on BTC dominance Threshold Calibration: Check 2-3 years of historical data for your chosen alt Note where risk metric sat during major bottoms (set buy thresholds) Note where it peaked during euphoria (set sell thresholds) Adjust for your risk tolerance and holding period Credits Strategy Development & 3Commas Integration: Claude AI (Anthropic) Technical Analysis Framework: RSI, MACD, Moving Average theory Implementation: pommesUNDwurst Disclaimer This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions. Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity. Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
Pine Script® strategy
by nakphanan
OHLC HistoryOHLC History is a Pine Script v6 overlay that snapshots up to 32 historical OHLC-derived levels from a selectable higher (or different) timeframe and projects them onto the active chart. It uses request.security to fetch the chosen source (Close/High/Low/Open), rounds each value to the instrument’s minimum tick, and stores them in an array. A “Max Number Lookback” input limits how many of those levels are rendered. For each retained level the script draws a horizontal line extended both ways, coloring it dynamically based on whether the level is above (customizable “above” color) or below (customizable “below” color) the current price, and places compact labels (01–32) with optional price text offset by a user-defined label distance. Prior bar artifacts (lines and labels) are explicitly deleted each update to keep the chart clean, while small white plot markers ensure the levels appear in the price scale and data window for quick reference.
Pine Script® indicator
by gggoaaat
MACD Momentum Pro MACD Momentum Pro is an enhanced version of the classic MACD designed to help traders identify momentum strength with far greater clarity. In addition to the traditional MACD line, Signal line, and histogram, this tool introduces two new momentum-intensity alerts: • Strong Green – bullish momentum accelerating above the zero line • Strong Red – bearish momentum accelerating below the zero line These conditions allow traders to quickly spot when market pressure is truly strengthening, reducing noise and improving decision-making in trending environments. The indicator also includes real-time alerts for: • MACD/Signal crosses (bullish & bearish) • MACD zero-line crosses • Shifts between rising/falling histogram states All moving averages (EMA or SMA) are fully customizable, and the visual histogram automatically adapts color to reflect momentum transitions. Whether you are trading breakouts, trend reversals, or momentum continuation setups, this upgraded MACD version provides a clearer, more actionable view of market strength—while keeping the original MACD logic intact.
Pine Script® indicator
by LionLabs
ORB (Opening Range Bound) / VP (Volume Profile)This script is designed for intraday traders who rely on session momentum and volume context to make decisions. It combines two robust market concepts—the Opening Range Breakout (ORB) and Volume Profile (VP)—into a single, highly customizable toolkit. By overlaying price momentum (ORB) with volume consensus (VP), traders can identify high-probability breakout targets and key support/resistance levels simultaneously. 1. Opening Range Breakout (ORB) The Opening Range Breakout is a momentum strategy that uses the first period of a trading session (e.g., the first 15 or 30 minutes) to define the day's likely trend and volatility. How it works: Session Definition: The script allows you to define a specific "Market Session" (default 09:30–16:00) and an "Opening Range Timeframe" (default 15 minutes). The Range: Once the opening timeframe concludes, the script automatically draws the High and Low of that period. The space between these lines is often considered a "chop zone" or "no-trade zone." Breakout Targets (Extensions): The script projects "Extension Levels" above and below the range. These are calculated as percentages of the opening range size (50%, 100%, 150%, 200%). Example: If the opening range is 10 points wide, the 100% extension will be 10 points above the high. These extensions serve as dynamic Take Profit targets or resistance levels during a trend day. 2. Volume Profile & Point of Control (POC) While the ORB tracks price action, the Volume Profile tracks auction theory—specifically, where volume has been transacted most heavily over the recent price history. How it works: Lookback Period: Unlike fixed-session profiles, this script uses a rolling lookback period (defined by "Number of Bars", default 200). This allows you to see the immediate volume context for the current price action regardless of the time of day. Point of Control (POC): The script highlights the price level with the highest traded volume in bright red (customizable). The POC acts as a "magnet" for price; price often reverts to the POC in ranging markets or bounces off it in trending markets. Value Area: The profile highlights the "Value Area" (default 70%), which represents the price range where 70% of the trading activity occurred. Breakouts from the Value Area often signal a shift in market sentiment. Up/Down Volume Split: The profile bars are split into two colors to visualize buying pressure vs. selling pressure at each price node. How to Use This Script: This indicator is most effective when the two concepts are used in tandem: Context: Use the Volume Profile to see if price is currently "accepted" (inside the Value Area) or "rejected" (outside). Trigger: Wait for the Opening Range to complete. A break above the ORB High suggests bullish momentum. Confluence: Check if an ORB Extension level aligns with a Volume Profile node. - Bullish Case: If price breaks the ORB High and the Volume Profile shows thin volume above (low resistance), the move is likely to run toward the extension targets. - Reversal Case: If price hits an ORB Extension (e.g., 200%) and that level coincides with a high-volume node or POC from the previous day's lookback, it may act as strong resistance. Settings Overview ORB Settings: Fully adjustable session times, timeframes, and line styles. You can toggle up to 4 extension levels with custom percentages. VP Settings: Adjust the "Number of Bars" to change how far back the profile looks. Adjust "Row Size" for higher definition profiles. Visuals: Every color, line width, and fill opacity is customizable to fit dark or light themes.
Pine Script® indicator
by Mereep01
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR). It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur. How it works Uses ATR × Multiplier to calculate an adaptive volatility buffer Tracks trend direction internally Recomputes and repositions the stop when a trend flip is detected Plots separate lines for bullish and bearish stop states Works on any market and timeframe (crypto, forex, commodities, indices, stocks) Why it’s useful This Stop ATR implementation is extremely stable and visually clean. It is particularly effective for: Trend following Position management Swing and position trading Systematic stop placement Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking. Inputs Period — ATR length Multiplier — ATR factor that defines stop distance Author Developed by Pedro Paulo de Melo, open-source version.
Pine Script® indicator
by pedro_demelo
FRPC - Fractal Reversal Permission ComponentThis tool identifies high-probability reversal points using a three-stage confirmation model: 1️⃣ Liquidity Sweep (LS) Price must take out a previous fractal high/low, indicating stop-hunt liquidity removal. 2️⃣ Reclaim (RC) After sweeping liquidity, price must close back inside the previous swing, showing absorption and rejection. 3️⃣ Break of Structure (BOS) A structural break confirms a true shift in market direction and avoids false reversal signals. FRPC only triggers BUY or SELL signals when all three layers align, creating actionable reversal conditions rather than random fractal noise. This approach helps avoid chasing breakouts, filters low-quality sweeps, and identifies areas where reversals are statistically more likely. ------------------------------------ What FRRC Helps You Identify ------------------------------------ True reversals after stop-hunts Liquidity grabs followed by displacement Avoiding fake breakouts Swing points with strong reaction potential High-probability turning points with real structure support ---------- Sidenote ---------- The accuracy of the signals range from 56% to 72% and is mainly designed to be a structural filter to be paired with a strong exhaustion system. This is just a bare bones version and I plan to work on a more advanced version yo pair with the current exhaustion systems I'm building out
Pine Script® indicator
by Dr_Wallstreet
Fanfans结构+极简合并增强版V2 中文：该指标整合Fanfans结构、高斯GWMA、动态摆动VWAP、MACD及极简交易信号，内置结构/GWMA/VWAP/EMA多维度过滤、成交量确认、动态ATR等优化功能。支持多空信号标注、止损止盈分层设置、信号质量评分，搭配图表信息面板与多级别警报共振机制，适用于1分钟等短周期交易，兼顾信号灵敏度与准确性。 English: This indicator integrates Fanfans structure, Gaussian GWMA, dynamic swing VWAP, MACD, and simple trading signals. It features multi-dimensional filters (structure/GWMA/VWAP/EMA), volume confirmation, dynamic ATR optimization. Supporting long/short signal labeling, layered SL/TP settings, signal quality scoring, it comes with a chart info panel and multi-level alert resonance. Suitable for short-term trading (e.g., 1-minute timeframe), balancing signal sensitivity and accuracy.
Pine Script® indicator
by ms023999
Strat Daily Predictor📊 Strat Daily Predictor This indicator analyzes Daily timeframe Strat patterns and displays actionable trading setups on any chart timeframe. 🔹 FEATURES: • Detects all major Strat patterns (2-1-2, 3-1-2, 3-2-2, 1-2-2, 2-2, 1-2, 1-3) • Shows Entry (E) and Target (T) price levels • Pattern status: ACTIONABLE, TRIGGERED, or IN-FORCE • Visual Entry/Target lines on chart • Entry signals when price breaks trigger levels • Works on any timeframe using Daily analysis 🔹 PATTERN TYPES: • Continuation patterns (trend following) • Reversal patterns (counter-trend) • Bullish & Bearish setups 🔹 TABLE DISPLAYS: • Current pattern name • Bar combo (e.g., 2↑ → 1 → 2↑) • Bias (BULLISH/BEARISH) • Entry & Target prices • Daily High/Low levels 🔹 HOW TO USE: 1. Add to any timeframe chart 2. Check table for Daily pattern setup 3. Wait for ACTIONABLE patterns 4. Enter when price breaks Entry level 5. Target shown on chart 🔹 ALERTS: • Long Entry • Short Entry • Actionable Pattern • In-Force Pattern Based on Rob Smith's "The Strat" methodology.
Pine Script® indicator
by StonkTrader4
MTF 4h Structure + FVG (CORRECTED)This is a fully customizable Multi-Timeframe (MTF) indicator for SMC traders. It overlays true Higher Timeframe market structure onto your current chart. While it defaults to the 4-Hour (4h) structure, you can easily change this to 1h, Daily, or Weekly in the settings to suit your strategy. Key Features: 1. Dynamic MTF Overlay: Select any Higher Timeframe (HTF) in the settings. The script calculates true pivots on that timeframe and projects them onto your chart without repainting issues. 2. Active Dealing Range: Automatically displays the Swing High and Swing Low of the selected HTF. 3. Equilibrium (EQ): Marks the 50% level of the range to help you identify Premium (Sell) vs. Discount (Buy) zones. 4. HTF Fair Value Gaps (FVG): Detects and draws unmitigated FVGs from your selected timeframe, acting as high-probability POIs. Visuals & Logic: - Green/Red: Signals CHoCH (Trend Reversals). - Gray: Signals BOS (Trend Continuation) - keeping the chart clean. - Smart Calculation: Calculates structure explicitly on the HTF data to prevent false signals on lower timeframes. How to use: 1. Add to your chart (e.g., 5m or 15m). 2. Open Settings -> Select your desired "Higher Timeframe" (Default is 4h). 3. Trade in the direction of the HTF Trend (Labels) and look for entries within HTF FVGs in the correct Discount/Premium zone.
Pine Script® indicator
by CryptoWitch_NL
Swing Trading IndicatorThis script is a swing‑trading dashboard designed for BTC, ETH, S&P 500 (for now). It combines weekly RSI, USDT.D, VIX, moving averages and Fisher Transform into a single visual tool, with background highlights, an on‑chart info table and ready‑made alerts to help you time high‑probability swing entries and manage risk. 1. Overview The indicator is intended to work on daily timeframe. Signals are context‑aware: BTC and ETH get USDT.D conditions, SPX gets VIX and EMA‑100 logic, and all non‑ETH symbols can also use Fisher Transform as a mean‑reversion filter. 2. Conditions and background highlights Each component sets a boolean condition and, when active, paints a background layer: Weekly RSI condition True when weekly RSI is below its symbol‑specific threshold. USDT.D conditions BTC: triggered when USDT.D is above the user threshold and the chart symbol is BTC. ETH: same logic for ETH, but tracked separately.. VIX condition (SPX only) True when VIX high is at or above the VIX threshold while the chart is SPX. EMA condition (BTC & SPX) BTC: daily close below EMA‑200. SPX: daily close below EMA‑100. Fisher Transform condition (non‑ETH) Fisher Transform on the chart timeframe, using the configured period. True when Fisher value is below the Fisher threshold. 3. Intended use and notes This indicator is designed as a confluence tool for swing traders, not a standalone buy/sell system. It works best on assets that are in a clear uptrend, where the main idea is to accumulate during corrections within that broader bullish structure.​ During larger market shocks, deep corrections, or black‑swan events, trend‑based and mean‑reversion filters can produce false signals, because volatility and correlations often behave abnormally in those periods. For that reason, this script should always be combined with independent risk management, higher‑timeframe trend analysis, and your own discretion.
Pine Script® indicator
by FlorinCharts