Empiece

Signals

Strong Liquidity Zones Pro | ProjectSyndicateStrong Liquidity Zones Pro Strong Liquidity Zones Pro automatically identifies and power-ranks high-probability Sell Liquidity and Buy Liquidity zones by analyzing swing structure, zone age, and retest activity. It filters for quality, calculates a POWER score for every zone based on its freshness and historical interaction, and presents all data on the chart and in three comprehensive dashboards to eliminate clutter and focus on levels that matter. •🎯 True First-Touch Engine — the built-in simulator is hard-coded to only enter on the first touch of a fresh or once-tested zone, ensuring backtest results are clean and reflect a real-world edge. •🎨 Power-Based Visuals — zones are labeled with a POWER score from 0-10, calculated from age and retests. The simulator can be set to only trade zones with a minimum POWER score (e.g., >= 6/10) for higher-quality setups. •🧠 Advanced Zone Management — automatically detects zones from confirmed swing pivots, merges overlapping zones to create stronger liquidity areas, and invalidates zones based on user-selected criteria (wick or close through). •📈 Detailed On-Chart Markup — every zone is plotted with a detailed label: SELL SIDE LIQ. | FRESH | POWER 8/10 | 0.18% | London | 42 bars | 0.15% away. The simulator adds entry/SL/TP lines, shaded TP/SL boxes, and entry/exit labels with R-multiple results. •🧭 Three-Panel Dashboard Display — get a complete market overview without leaving your chart: •MTF Alignment: M5/M15/H1/H4/D1 direction, price, bars-ago, and a final MTF Bias score. •Performance Statistics: 19 essential metrics covering core PnL, risk/reward, streaks, and long/short performance. •Daily PnL Tracker: A running log of the last 20 trading days with PnL (R), PnL (Pips), and trade count, with green/red row backgrounds for at-a-glance performance. •🔔 Comprehensive Alerts — get a simple alert whenever a new zone is confirmed, signaling that the liquidity map has been updated. •✅ Quality Control Filters — user-configurable inputs for swing detection length, max/min zone height (ATR-based), minimum zone strength to trade, and lookback periods allow for deep customization to match any trading style. •🔧 Fully Customizable — control everything from the max number of zones shown and simulator RR/SL settings to the text size of all labels and dashboard positions. •🎯 Why this algo is unique: Standard S&D indicators either flood the chart with every potential zone or use simplistic logic. This algorithm intelligently filters, merges, and ranks them. It doesn't just show you where liquidity might be, it quantifies how powerful that zone is based on its history, and the built-in simulator provides a realistic edge by only trading the first touch of high-quality zones. •🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The ATR-based zone height and SL settings allow it to adapt to anything from scalping to swing trading. •🎯 How to use this? Use the dashboards to confirm higher-timeframe bias. Focus on simulator entries from high-POWER zones (>= 6/10) that align with the MTF trend. Use the alerts to know when a new, potentially high-quality zone has formed. •⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability liquidity zones and provide a realistic backtesting simulator. It should NOT be used as a standalone signal for entering live trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Indicador Pine Script®
por ProjectSyndicate
2
Sniper Entry Engine Auto TP/SL Box | tradewsametSniper Entry Engine Auto TP/SL Box is an RSI-based reversal indicator built to visualize extreme-zone exits and automatically project a structured trade box on the main chart. The script combines a smoothed RSI, a signal line, extreme zone logic, and automatic risk-to-reward mapping into a clean and practical workflow. When RSI exits the extreme low zone, the indicator prints an UP signal on the RSI pane and creates a BUY trade box on the price chart. When RSI exits the extreme high zone, it prints a DOWN signal and creates a SELL trade box. The purpose of this tool is not to predict every reversal. Its main goal is to help traders standardize reaction points after extreme RSI conditions and display a clear visual framework for entry, stop loss, and target placement. How it works: • UP signal: triggered when RSI crosses back above the Extreme Low level • DOWN signal: triggered when RSI crosses back below the Extreme High level Once a signal appears, the script automatically creates a TP/SL structure on the main chart: • Entry: based on the selected entry source • Stop loss: based on the selected stop-loss model • Take profit: projected using the selected risk-to-reward multiple Default structure in this version: • ATR-based stop loss • Risk/Reward = 1:5 Main features: • Smoothed RSI with signal line • Overbought / oversold and extreme zone visualization • RSI status panel with live market condition summary • Automatic BUY and SELL labels on trade entry • Automatic TP/SL box projection on the main chart • Boxes remain active and extend until price reaches TP or SL • Final outcome labels on chart: - TP HIT 💰 - SL HIT • Support for multiple entry price modes • Support for multiple stop-loss models: - Signal Candle - ATR - Percent • Same-bar TP/SL priority control How to use it: This indicator is designed as a visual reaction framework, not as a promise of reversal. A practical workflow can be: 1. Wait for RSI to reach an extreme zone 2. Watch for RSI to reclaim back out of that zone 3. Let the script draw the automatic trade box 4. Use trend context, support/resistance, liquidity, or higher-timeframe confirmation to decide whether the setup deserves execution 5. Use the projected TP/SL box as a visual risk map instead of placing targets and stops randomly Best use cases: • Traders who want a clean RSI reversal framework • Traders who prefer automatic TP/SL visualization • Traders who want consistent risk mapping after a signal appears • Traders who use RSI as a timing tool inside a broader discretionary system Important notes: This script is an indicator, not a performance guarantee. The displayed trade boxes are visual planning tools created from the script’s internal signal logic and selected stop-loss model. Extreme RSI readings can fail in strong trends, trend continuation environments, or highly volatile sessions. For that reason, this tool is best used with confirmation from price action, structure, volatility, or higher-timeframe context. Panel overview: The built-in panel summarizes the current RSI environment by showing: • Current RSI value • Signal line value • Status classification • Momentum state • RSI vs signal structure state This helps the user evaluate whether the market is in a neutral, bullish, bearish, overbought, oversold, or extreme condition without relying only on raw RSI values. Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice and should not be considered an investment recommendation. Users should test and evaluate the script on their own symbols, timeframes, and risk rules before using it in live market conditions.
Indicador Pine Script®
por trade_w_samet
Smart Reversal Entry | tradewsametSmart Reversal Entry | tradewsamet Overview Smart Reversal Entry is a reversal-focused indicator designed to identify structured entry opportunities after a strong short-term directional move. The script combines an EMA trend filter, a minimum 3-candle move requirement, a reversal candle confirmation, integrated TP/SL visualization, a compact summary dashboard, a daily PnL table, and an embedded optimizer running in the background. This indicator is built for traders who want a clean and rule-based reversal entry framework without relying on an overly crowded chart. It is especially useful for users who prefer visual clarity, defined entry logic, and quick access to recent internal performance metrics. How it works The script searches for reversal-style setups after a short-term expansion move. Bullish setup: - Price must be above the selected EMA filter - The three candles before the signal candle must be bearish - The bearish move must reach the minimum move threshold in pips - The current candle must close bullish as reversal confirmation Bearish setup: - Price must be below the selected EMA filter - The three candles before the signal candle must be bullish - The bullish move must reach the minimum move threshold in pips - The current candle must close bearish as reversal confirmation This creates a structured reversal-entry model where the script looks for a reaction after an extended short-term move. What the script displays When a valid setup is detected, the script can display: - BUY and SELL labels - A dashed entry line - A green TP zone - A red SL zone - A summary table - A daily PnL table The summary table includes: - Total Entries - Wins - Losses - Win Rate - Net R - Net Pips / estimated dollar value - Max Drawdown (R) - Risk/Reward - Profit Factor - Best EMA Length - Best Min Move (Pips) - Best Win Rate - Best Profit Factor - Best Net R - Best Net Pips / estimated dollar value The daily table includes: - Date - PnL (R) - Wins - Losses - Closed trades Trade handling logic The script uses a conservative internal model for hit detection: - Signals are confirmed on bar close - TP/SL checking starts after the signal bar - If both TP and SL are touched on the same bar, SL takes priority This behavior is intentional and is used to keep internal signal handling consistent. Shared backtest window The main system and the embedded optimizer use the same recent analysis window. This is done so that the chart logic and the optimizer logic are aligned to the same recent data sample instead of using different sections of chart history. Embedded optimizer The script contains a hidden optimizer that compares multiple EMA lengths and minimum move values in the background. These optimizer settings are embedded directly in the code and are not exposed in the settings panel. The optimizer is used only as a contextual reference to help identify which nearby parameter combination has performed best inside the script’s shared backtest window. It is not intended to represent certainty or future performance. Pip handling The script includes multiple pip modes: - XAUUSD / Gold - FX 5-Digit - FX JPY - Indices / CFD - Auto Detect - Manual If needed, the manual pip option can be used for instruments whose quote structure does not fit the built-in presets. Best use cases This indicator is best suited for traders who want to: - Track reversal entries after strong short-term price expansion - Use an EMA-based directional filter - Visualize TP and SL zones directly on chart - Review compact internal performance metrics without running a separate strategy script Notes - This is an indicator, not an execution engine - It is a chart-based decision support tool - Internal statistics are derived from the script’s own signal model - Estimated dollar values are based on the internal pip-to-dollar assumption used in the script - Results can vary depending on the market, timeframe, volatility regime, and pip configuration Suggested workflow 1. Select the correct pip preset for the instrument 2. Set the EMA length and minimum move threshold 3. Wait for a confirmed BUY or SELL signal 4. Use the TP/SL zones as a structured visual framework 5. Monitor the summary table and daily table for recent behavior 6. Compare current behavior with the embedded optimizer output 7. Validate the script on your own symbols and timeframes before using it in live decision-making Disclaimer This script is provided for educational and analytical purposes only. It does not guarantee profitable results, future performance, or trading success. All trading involves risk, and users are responsible for their own analysis, execution, and risk management decisions.
Indicador Pine Script®
por trade_w_samet
Viprasol Multi-Timeframe Trend Signal EngineOverview The Multi-Timeframe Trend Signal Engine is a comprehensive overlay indicator that combines SuperTrend signals, a 5-EMA trend ribbon, EMA cloud, chaos trend line, order blocks, and an RSI-based take profit system with a 6-timeframe ADX trend dashboard. The core system — originally developed by Zakaria Safri — is a mature, feature-rich trading toolkit. This version adds a confluence quantification layer that transforms the dashboard's six independent timeframe readings into a single scored consensus metric, turning passive multi-timeframe observation into an actionable alignment signal. How It Works SuperTrend Signal Engine: A custom SuperTrend calculation generates buy and sell signals using ATR-based dynamic bands. All signals require bar-close confirmation to prevent repainting on confirmed bars. Two modes are available: "All Signals" shows every crossover, while "Filtered Signals" adds an EMA gate requiring price to be above (for buys) or below (for sells) the main EMA before a signal qualifies. Multi-Timeframe ADX Dashboard: The indicator fetches ADX trend quality from six timeframes (5m, 15m, 1H, 4H, 12H, Daily) using an anti-repaint security pattern (previous bar value with lookahead — confirmed bars only). Each timeframe is classified as Bullish, Bearish, or Neutral based on an adaptive threshold derived from the median ADX value multiplied by a configurable factor. This means trend classification adjusts to the instrument's own volatility regime rather than relying on fixed levels. MTF Confluence Score (Viprasol Addition): The six individual timeframe trend readings are aggregated into a Confluence Score ranging from 0 to 6. The score counts how many timeframes currently show a bullish ADX trend. A separate bear confluence count tracks bearish alignment independently. The score is color-coded in the dashboard: green at 5-6 (strong bullish consensus), yellow at 3-4 (mixed), red at 0-2 (weak or bearish-dominant). This transforms what would otherwise be six separate readings requiring manual interpretation into a single quantified alignment metric. Two dedicated alert conditions fire when 5 or more timeframes agree on direction, providing automated detection of high-confluence setups. Trend Ribbon: Five EMAs (20, 25, 35, 45, 55) form a color-coded ribbon. The ribbon is bullish when the fastest EMA leads and bearish when it trails, shifting state on crossover. It provides a visual trend context layer independent of the SuperTrend signal system. EMA Cloud: A 150/250 EMA cloud identifies longer-term structural trend direction. Green fill indicates bullish structure, red fill indicates bearish structure. This serves as a backdrop for assessing whether shorter-term signals align with the broader trend. Chaos Trend Line: An adaptive trend line using pivot-based detection with ATR channels. It tracks the prevailing trend using highest and lowest pivot levels and changes color on confirmed reversals, providing another independent trend perspective. Order Blocks: Structural order blocks based on pivot break-of-structure logic. Bullish order blocks form at swing lows when higher highs break structure; bearish order blocks form at swing highs when lower lows break structure. Boxes fade when price tests them and are removed when fully invalidated. RSI Take Profit System: A sequential TP system using RSI crossovers at configurable levels (default 70/85/100 for bullish, 30/15/5 for bearish). Each TP level only fires after the previous one has triggered within the current signal cycle, creating a staged exit framework. TP1 must trigger before TP2 becomes active, and TP2 before TP3. Reversal Signals: A 25-period RSI-based reversal detector that fires when RSI crosses above the oversold level or below the overbought level, using bar-close confirmation. Risk Management Lines: Visual-only TP and SL lines plotted relative to entry price. These are for reference only and do not execute trades. Key Features - SuperTrend buy/sell signals with bar-close confirmation (no repainting on confirmed bars) - Two signal modes: All Signals and EMA-Filtered Signals - 6-timeframe ADX trend dashboard (5m, 15m, 1H, 4H, 12H, Daily) - MTF Confluence Score (0-6) quantifying multi-timeframe bullish/bearish alignment - 5-EMA trend ribbon with directional color coding - EMA 150/250 cloud for structural trend context - Adaptive chaos trend line with pivot-based detection - Structural order blocks with fade-on-test and auto-invalidation - RSI-based sequential take profit system (TP1, TP2, TP3) - Visual TP/SL risk management lines - RSI reversal signals at extreme levels - Channel breakout levels from pivot highs and lows - Three candle coloring modes (Scalper RSI, Trend Ribbon, EMA Direction) - RSI background zones for overbought/oversold visualization - Configurable dashboard position and font size - All visual elements individually toggleable - 10 alert conditions with dynamic messages How to Use Reading the Dashboard: Start with the MTF Confluence Score. A score of 5-6 out of 6 indicates strong multi-timeframe bullish alignment — the majority of timeframes from 5-minute through Daily are trending in the same direction. A score of 0-1 indicates strong bearish alignment. Scores of 3-4 represent mixed conditions where caution is warranted. The individual timeframe rows below the score show exactly where agreement and disagreement exist, letting you identify which timeframes are diverging. Signal Workflow: Use "Filtered Signals" mode for higher-quality entries that align with the main EMA direction. Use "All Signals" mode when you want to capture more frequent opportunities in ranging or transitional markets. Reversal signals (purple labels) flag potential exhaustion at RSI extremes. The sequential TP markers (TP1, TP2, TP3) provide staged exit targets based on RSI momentum progression. Combining Confluence with Signals: The confluence score is most valuable as a directional filter. A buy signal firing when the confluence score is 5 or 6 carries more weight than one firing at a score of 2. Similarly, a sell signal at confluence 0 or 1 has stronger multi-timeframe backing. This is the core analytical addition — rather than visually scanning six rows, you get a single number that quantifies alignment strength. Suggested Starting Points: - Scalping (1m-5m): Sensitivity 2.0, ATR Factor 8, Filtered mode - Intraday (15m-1H): Sensitivity 2.5, ATR Factor 11, All Signals mode - Swing (4H-1D): Sensitivity 3.0, ATR Factor 14, Filtered mode Settings Main Settings — Sensitivity (controls signal frequency), Signal Mode (All or Filtered), ATR Factor (band width) Trend Settings — Toggle trend ribbon, EMA cloud, chaos trend line, order blocks; configurable main EMA period Signal Settings — Show/hide buy-sell signals, candle coloring mode selection, RSI background zones, channel breakouts Dashboard Settings — Show/hide dashboard, position selection, font size Risk Management — Visual-only TP/SL lines, TP strength multiplier, individual TP level toggles Alerts 1. Buy Signal — SuperTrend crossover buy confirmed at bar close 2. Sell Signal — SuperTrend crossover sell confirmed at bar close 3. Filtered Buy — Buy signal with price above main EMA 4. Filtered Sell — Sell signal with price below main EMA 5. Reversal Up — RSI crosses above oversold level 6. Reversal Down — RSI crosses below overbought level 7. Ribbon Turned Bullish — EMA ribbon state change to bullish (edge-detected, fires once on crossover bar) 8. Ribbon Turned Bearish — EMA ribbon state change to bearish (edge-detected, fires once on crossover bar) 9. Strong Bullish MTF Alignment — 5+ of 6 timeframes showing bullish ADX trend 10. Strong Bearish MTF Alignment — 5+ of 6 timeframes showing bearish ADX trend All alerts include dynamic message variables: {{ticker}}, {{close}}, and {{interval}}. Limitations & Disclaimer - MTF data uses the anti-repaint pattern (previous bar value with lookahead) to avoid repainting on confirmed bars. The current bar's data updates in real-time until that bar closes. - ADX trend classification uses an adaptive threshold (median ADX multiplied by a configurable factor). "Neutral" readings are relative to the instrument's recent volatility, not fixed levels. This means the same ADX value may be classified differently across instruments or time periods. - The RSI TP system is sequential — TP2 only becomes active after TP1 fires, and TP3 after TP2. If TP1 never triggers during a signal cycle, later levels will not fire. - Order blocks use a simplified break-of-structure method based on 3-bar pivots. They are structural levels, not institutional order flow data. - The Risk Management TP/SL lines are visual references only — they do not place or manage trades. - This indicator is for educational and analytical purposes only. It is not financial advice. Always use proper risk management and validate signals with your own analysis. Test on a demo account before live trading. Credits & Attribution This script is derived from "Multi-Timeframe Trend Indicator with Signals" v4.4 by Zakaria Safri. The original is a substantial, feature-rich indicator that provides the SuperTrend signal engine, 5-EMA trend ribbon, EMA cloud, chaos trend line, 6-timeframe ADX dashboard, order block detection, RSI sequential take profit system, TP/SL risk management lines, reversal signals, channel breakout levels, three candle coloring modes, volatility measurement, and 8 alert conditions. The vast majority of the analytical logic in this script is Zakaria Safri's work. Viprasol's additions: MTF Confluence Score (aggregating 6 timeframe readings into a 0-6 quantified alignment metric with color coding), separate bear confluence tracking, MTF alignment alerts (firing at 5+ timeframe agreement), and ribbon trend change alerts using edge detection for single-bar precision. These additions layer a confluence quantification system on top of the original's multi-timeframe dashboard. Published open-source per TradingView House Rules governing derivative works of open-source scripts.
Indicador Pine Script®
por viprasol
Signal Qualification Engine [JOAT]Signal Qualification Engine Introduction The Signal Qualification Engine is a sophisticated multi-layer signal filtering system designed to identify high-probability trading opportunities through comprehensive confluence analysis. This indicator solves the universal trading problem of signal quality - not all signals are created equal, and distinguishing between mediocre setups and high-probability opportunities is what separates successful traders from the crowd. By evaluating signals across trend, momentum, volume, and structure layers, this engine provides institutional-grade signal qualification that helps traders focus only on the best opportunities. This tool is built for traders who understand that edge in trading comes from the confluence of multiple factors rather than any single indicator. Whether you're a discretionary trader looking for confirmation, a systematic trader needing signal filtering, or an algorithm developer requiring quality scoring, this engine provides the comprehensive analysis needed to elevate your trading from random signals to systematic, high-quality setups. Why This Indicator Exists Most traders struggle with signal overload - too many signals, varying quality, and no systematic way to evaluate them. This indicator addresses that critical problem by: Multi-Layer Analysis: Evaluates signals across four independent analytical layers Quality Scoring: Provides objective, numerical quality scores for every signal Confluence Detection: Identifies when multiple factors align for high-probability setups Risk/Reward Validation: Ensures signals offer adequate profit potential relative to risk Premium Signals: Flags exceptional setups with maximum confluence Visual Zones: Shows entry zones, stop levels, and targets for clear risk management The engine transforms subjective signal evaluation into an objective, systematic process that can be consistently applied across all market conditions and instruments. Core Components Explained 1. Trend Analysis Layer The trend layer evaluates the directional bias using multiple trend indicators: // Trend scoring int trend_bull_score = 0 int trend_bear_score = 0 // Moving average analysis if price_above_fast_ma trend_bull_score += 1 if price_above_slow_ma trend_bull_score += 1 if ma_bullish_cross trend_bull_score += 1 // ADX analysis if adx > i_adx_thresh trend_bull_score += plus_di > minus_di ? 2 : 0 trend_bear_score += minus_di > plus_di ? 2 : 0 Trend components: Price vs MAs: Position relative to fast and slow moving averages MA Crossovers: Recent trend changes and confirmation ADX Strength: Trend strength above threshold (default 25) Directional Movement: +DI vs -DI for trend direction Trend Score: Cumulative trend strength (0-5 points) The trend layer ensures we only trade in the direction of the established trend or during trend changes with confirmation. 2. Momentum Analysis Layer Momentum is evaluated through multiple oscillators to ensure optimal timing: // Momentum scoring int momentum_bull_score = 0 int momentum_bear_score = 0 // RSI analysis if rsi > 50 and rsi < 70 and rsi > rsi momentum_bull_score += 1 if rsi < 50 and rsi > 30 and rsi < rsi momentum_bear_score += 1 // Stochastic analysis if stoch_k > stoch_d and stoch_k < 80 momentum_bull_score += 1 if stoch_k < stoch_d and stoch_k > 20 momentum_bear_score += 1 // MACD analysis if macd_hist > 0 and macd_hist > macd_hist momentum_bull_score += 1 if macd_hist < 0 and macd_hist < macd_hist momentum_bear_score += 1 Momentum components: RSI Direction: Momentum direction with overbought/oversold filters Stochastic Crossovers: Entry timing with extreme level avoidance MACD Histogram: Trend acceleration and deceleration Momentum Score: Cumulative momentum strength (0-3 points) Divergence Detection: Price/momentum divergences for early signals The momentum layer ensures we enter when momentum supports our directional bias. 3. Volume Analysis Layer Volume confirms the strength and conviction behind price movements: // Volume analysis float vol_sma = ta.sma(volume, 20) float vol_ratio = vol_sma > 0 ? volume / vol_sma : 1.0 bool above_avg_vol = volume > vol_sma * 1.2 bool high_vol_session = session_vol_ratio > 1.5 // Volume scoring int volume_score = 0 if above_avg_vol volume_score += 1 if high_vol_session volume_score += 1 if vol_ratio > 1.5 volume_score += 1 Volume components: Volume Ratio: Current volume relative to 20-period average Above Average Volume: Confirms signal strength (20% above average) Session Volume Analysis: Compares current volume to historical session averages Volume Score: Cumulative volume confirmation (0-3 points) Volume Spike Detection: Exceptional volume that may signal institutional activity The volume layer ensures signals have sufficient participation to be reliable. 4. Structure Analysis Layer Structure identifies key levels where professional traders place orders: // Structure analysis float swing_high = ta.pivothigh(high, i_swing_left, i_swing_right) float swing_low = ta.pivotlow(low, i_swing_left, i_swing_right) bool near_resistance = math.abs(close - nearest_resistance) / close * 100 < i_level_proximity bool near_support = math.abs(close - nearest_support) / close * 100 < i_level_proximity bool sweep_high = high > nearest_resistance and close < nearest_resistance bool sweep_low = low < nearest_support and close > nearest_support Structure components: Swing Points: Key highs and lows defining market structure Level Proximity: Distance to nearest support/resistance Liquidity Sweeps: Price moves beyond levels that quickly reverse Break of Structure: Confirms trend changes Structure Score: Cumulative structural confirmation (0-3 points) The structure layer ensures entries occur at technically significant levels. 5. Signal Qualification System All layers combine to produce a comprehensive qualification score: // Total scores (max 14) int bull_total = ( trend_bull_score + momentum_bull_score + volume_score + structure_score + (near_support ? 1 : 0) + (sweep_low ? 1 : 0) + (rr_ratio >= i_min_rr ? 1 : 0) ) int bear_total = ( trend_bear_score + momentum_bear_score + volume_score + structure_score + (near_resistance ? 1 : 0) + (sweep_high ? 1 : 0) + (rr_ratio >= i_min_rr ? 1 : 0) ) Qualification criteria: Trend Score (0-5 points): Directional bias strength Momentum Score (0-3 points): Timing confirmation Volume Score (0-3 points): Participation confirmation Structure Score (0-3 points): Level confirmation Level Proximity (1 point): Entry at key level Liquidity Sweep (1 point): Institutional activity Risk/Reward (1 point): Adequate profit potential Maximum Score: 14 points for perfect confluence 6. Quality Grading System Signals are graded based on their qualification score: // Quality grades string bull_grade = bull_total >= 12 ? "A+" : bull_total >= 10 ? "A" : bull_total >= 8 ? "B" : bull_total >= 6 ? "C" : "D" string bear_grade = bear_total >= 12 ? "A+" : bear_total >= 10 ? "A" : bear_total >= 8 ? "B" : bear_total >= 6 ? "C" : "D" Grade meanings: A+ (12-14 points): Exceptional setup with maximum confluence A (10-11 points): High-quality setup with strong confluence B (8-9 points): Good setup with moderate confluence C (6-7 points): Acceptable setup with basic confluence D (0-5 points): Weak setup, avoid trading Only B-grade and above signals are typically considered for trading. 7. Risk/Reward Validation Each signal is validated for adequate profit potential: // Risk/Reward calculation float atr_val = ta.atr(14) float stop_distance = atr_val * i_stop_mult float target_distance = atr_val * i_target_mult float rr_ratio = target_distance / stop_distance // RR validation bool valid_rr = rr_ratio >= i_min_rr RR features: ATR-Based Stops: Dynamic stop placement based on volatility Multiple Targets: Primary and secondary profit targets Minimum RR Ratio: Configurable minimum (default 1.5:1) RR Validation: Signals without adequate RR are disqualified Visual Targets: Clear stop and target levels on chart Visual Elements Signal Markers: Clear entry signals with quality grades Entry Zones: Shaded areas showing optimal entry regions Risk Levels: Visual stop loss and target levels Quality Meter: Real-time confluence score display Background Colors: Signal strength background shading Dashboard: Comprehensive metrics panel Premium Signals: Special markers for A+ grade setups The dashboard displays: 1. Current signal qualification scores 2. Quality grades and confluence percentages 3. Individual layer scores (trend, momentum, volume, structure) 4. Risk/Reward ratio and validation status 5. Nearest support/resistance levels 6. Volume analysis and session context 7. Signal cooldown status 8. Premium signal indicators Input Parameters Trend Settings: Fast MA Period: Short-term trend (default: 21) Slow MA Period: Medium-term trend (default: 55) ADX Period: Trend strength (default: 14) ADX Threshold: Minimum trend strength (default: 25) Momentum Settings: RSI Period: Momentum oscillator (default: 14) Stochastic K/D: Entry timing (default: 14/3) MACD Fast/Slow/Signal: Trend acceleration (default: 12/26/9) Structure Settings: Swing Left/Right: Pivot point detection (default: 10/5) Level Proximity %: Distance to key levels (default: 0.5%) Max Levels: Maximum swing levels to track (default: 20) Qualification Settings: Minimum Score: Required qualification score (default: 6) Signal Cooldown: Bars between signals (default: 5) Minimum R:R: Required risk/reward ratio (default: 1.5) Require Confirmation: Wait for bar close (default: true) How to Use This Indicator Step 1: Monitor Signal Quality Watch for B-grade or higher signals. A-grade signals offer the highest probability but occur less frequently. Focus on quality over quantity - one A-grade signal is worth ten C-grade signals. Step 2: Verify Layer Alignment Check the dashboard to see which layers are contributing to the signal. The best signals have confirmation from all four layers (trend, momentum, volume, structure). Step 3: Assess Risk/Reward Ensure the signal offers adequate profit potential. The indicator automatically validates RR ratios, but you should manually verify that targets make sense in the current market context. Step 4: Time Entry with Structure Use the entry zones and structure levels to time your entry precisely. The best entries occur when price is near key support/resistance levels or after liquidity sweeps. Step 5: Manage Risk Dynamically Use the visual stop and target levels as guidelines, but adjust based on your personal risk tolerance and account size. Never risk more than you're comfortable losing. Step 6: Track Premium Signals Pay special attention to A+ grade premium signals. These rare setups with maximum confluence often lead to the largest moves and deserve larger position sizes. Best Practices Be patient for A-grade signals rather than forcing mediocre trades Use the qualification score as your primary filter - ignore signals below your minimum threshold Combine with your own analysis for additional confirmation Adjust the minimum score based on market conditions - higher in choppy markets, lower in strong trends Keep a trade journal to track which grade performs best in each market condition Use the cooldown period to avoid overtrading - quality signals require patience Pay attention to volume confirmation - signals without volume support often fail Structure is key - signals at major levels have higher success rates Liquidity sweeps provide high-probatility reversal opportunities Always respect the risk/reward validation - poor RR setups destroy accounts Strategy Integration This indicator is designed to enhance any trading system: Use as a signal filter for existing strategies Import quality scores to weight trade decisions Combine with trend-following systems for entry timing Use structure levels for stop placement in other systems Integrate volume analysis for signal confirmation Apply risk/reward validation to all trades Use premium signals as standalone trade opportunities Export layer scores for custom signal development The indicator includes 12 export functions for integration: Bull/Bear Score Export: Total qualification scores Quality Grade Export: Letter grade as numeric value Trend Score Export: Trend layer score Momentum Score Export: Momentum layer score Volume Score Export: Volume layer score Structure Score Export: Structure layer score RR Ratio Export: Current risk/reward ratio Signal Export: Binary signal output Premium Signal Export: A+ grade signal flag Technical Implementation Built with Pine Script v6 featuring: Multi-layer signal analysis across four independent systems Dynamic qualification scoring with configurable weights Advanced market structure detection with pivot points Volume analysis with session context Risk/reward validation with ATR-based calculations Comprehensive visualization with entry zones and risk levels Real-time dashboard with 12 key metrics Alert conditions for all signal types and grades Export functions for strategy integration Premium signal detection for exceptional setups The code uses confirmed bars for all calculations to prevent repainting and ensure reliable signals. Originality Statement This indicator is original in its comprehensive approach to signal qualification and multi-layer confluence analysis. While individual components (RSI, MACD, ADX, etc.) are established tools, this indicator is justified because: It synthesizes four distinct analytical layers into a unified qualification system The scoring system provides objective, numerical signal evaluation Quality grading transforms subjective analysis into systematic decision-making Risk/reward validation ensures only profitable setups are considered Structure analysis integration provides context for market microstructure Volume layer adds confirmation often missing from signal systems Premium signal detection identifies exceptional opportunities Comprehensive visualization makes complex analysis accessible Export functions enable integration with any trading system Each layer contributes unique insights: trend provides direction, momentum provides timing, volume provides confirmation, and structure provides context The indicator's value lies in transforming signal evaluation from art to science - providing traders with a systematic, objective way to identify and focus only on the highest probability trading opportunities. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Signal qualification is a tool for improving trade selection, not a guarantee of success. Even high-quality signals can fail due to unexpected market events, news, or changes in market conditions. Past performance of high-grade signals does not guarantee future results. The indicator's signals are mathematical calculations based on historical patterns and should be used in conjunction with proper risk management. Always use stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose on any single trade, regardless of signal quality. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
ROC Regime Filter [HYPR-run]PUBLISH TITLE: ROC Regime Filter CHART TITLE: ROC Regime DESCRIPTION: A reliable universal regime filter across all assets, all timeframes. Rate of change filter that classifies price action into regime states. A suite of smoothed EMAs feeds a layered ROC engine that detects when fast momentum aligns with, or diverges from, slow structure. The filter measures; it doesn't predict. When all ROC layers stack in the same direction (parallel alignment), the trend is confirmed by arithmetic. When fast ROC diverges from slow, the regime shifts. The lag is the cost of certainty. Sweet spot is 1hr to 1D; lower timeframes get noisy. FEATURES - Six regime states from layered ROC alignment (see color legend below) - Early trend detection when all layers accelerate in parallel - ROC 200 line with regime-colored gradient fill - Macro pivot detection: strong trend exhausting into sideways, scored by where ROC 200 sits relative to its all-time range - Accumulation/distribution context in dashboard - ROC 200 pivot high/low divergence markers on main chart - Consolidation markers with conviction scoring (normal vs extreme) - Gradient candle overlay (ROC Sticks; toggle on/off) - Two-row dashboard: row 1 = macro context (accumulation/distribution), row 2 = current regime state with directional qualifier and slope - Full ROC stack in data window for manual analysis - Webhook alerts on macro pivots (accumulation/distribution) HOW IT WORKS ROC alignment is the core signal. When all layers stack in the same direction, that's strong trend territory (green). When fast ROC diverges from the slower layers while slow structure still holds, the engine reclassifies from strong trend to sideways (yellow), flagging a pullback rather than trend failure. Deeper corrections where intermediate layers fall below the structural anchor fire orange, indicating a correction within the primary trend. Macro pivots fire at the inflection: strong trend exhausting into sideways for the first time. The consolidation score layers this with where ROC 200 sits in its all-time range. Consolidation at extreme ROC readings (bright green/red dots) is the highest-conviction signal for reversal. HOW TO USE Read the regime color, not the price. Green = strong trend long, red = strong trend short, orange = deeper correction, yellow = short pullback, white = directionless. Use regimes as a directional gate: longs during green, shorts during red. Yellow flags a pullback within trend; wait for resolution back to green/red before re-entering. Orange is a deeper correction; patience or fade with confirmation from other tools. The highest-edge signals come from regime transitions, not static states. Watch for: green breaking into yellow (macro pivot, potential reversal), extended yellow resolving back to green (continuation re-entry), and the ROC slope within a regime (slope rising in orange = trend about to resume). The data window shows the full ROC stack across all layers. When fast ROC diverges from slow, that signals continuation or reversion. REGIME COLOR LEGEND Bright Green -ROC Momentum ↑ -all ROC layers rising in full alignment Green - ROC Trending ↗ -strong trend long, slope confirming Green - ROC Rolling Over ↓ -strong trend long, slope turning negative Yellow - ROC Continuation ↗ -pullback in uptrend, fast ROC resuming Yellow - ROC Reversion ↘ -pullback in uptrend, fast ROC fading Yellow - ROC Stage 1 ↘ -pullback in uptrend, no clear direction yet Orange - ROC Exhaustion ↗ -deeper correction, slope still positive Orange - ROC Exhaustion ↘ -deeper correction, slope turning negative White - ROC Sideways ↗ -no regime, slight positive drift White - ROC Sideways ↘ -no regime, slight negative drift Orange - ROC Exhaustion ↗ -deeper correction (bear side), slope positive Orange - ROC Exhaustion ↘ -deeper correction (bear side), slope negative Yellow - ROC Stage 1 ↗ -pullback in downtrend, no direction yet Yellow - ROC Reversion ↗ -pullback in downtrend, fast ROC fading Yellow - ROC Continuation ↘ -pullback in downtrend, fast ROC resuming Red - ROC Trending ↘ -strong trend short, slope confirming Red - ROC Turning Up ↑ -strong trend short, slope turning positive Bright Red - ROC Momentum ↓ -all ROC layers falling in full alignment MACRO CONTEXT (Dashboard Row 1) Green - Macro Pivoting ↑ -bear-to-bull inflection just fired Green - Macro Accumulation In Play ↗ -bull macro pivot active, price above pivot low Red - Macro Pivoting ↓ -bull-to-bear inflection just fired Red - Macro Distribution In Play ↘ -bear macro pivot active, price below pivot high Black - Macro Pivot -no active macro context ALERTS Macro pivot long fires when accumulation is detected (bull inflection). Macro pivot short fires when distribution is detected (bear inflection). Create alert: condition = this indicator, "Any alert() function call". Paste your webhook URL, set Open-ended, create. Alert payload is built into the script; works with any webhook receiver. CREDITS Advance/Decline gradient function: LucF
Indicador Pine Script®
por HYPR-run
Momentum Pressure Gauge [JOAT] Momentum Pressure Gauge Introduction The Momentum Pressure Gauge is an advanced institutional-grade analysis tool designed to measure the underlying buying and selling pressure that drives market movements. This indicator goes beyond simple momentum oscillators by quantifying the actual pressure differential between buyers and sellers, incorporating volume analysis, detecting divergences, and identifying when momentum is reaching extreme levels. Understanding pressure and momentum is crucial because price often follows pressure - by measuring the force behind price movements, traders can anticipate future direction with greater confidence. This tool is built for traders who understand that markets are driven by the constant battle between buyers and sellers, and that the outcome of this battle is reflected in pressure and momentum patterns. Whether you're a day trader timing entries with precision, a swing trader identifying trend strength, or a position trader spotting major reversals, this gauge provides the sophisticated pressure analysis needed to trade with the dominant force rather than against it. Why This Indicator Exists Most traders use basic momentum indicators without understanding the underlying pressure dynamics or volume participation. This indicator addresses that limitation by: Pressure Analysis: Measures actual buying/selling pressure in each bar Volume Weighting: Incorporates volume to confirm pressure significance Momentum Scoring: Provides composite momentum scores with multiple factors Divergence Detection: Identifies price/momentum divergences for early reversal signals Extreme Zone Identification: Flags overbought/oversold conditions with pressure context Energy Wave Analysis: Combines pressure with volume and price energy The gauge transforms abstract momentum concepts into concrete pressure measurements that reveal the true force behind market movements. Core Components Explained 1. Raw Pressure Calculation The indicator measures buying and selling pressure in each bar: // Raw buying/selling pressure f_pressure_raw() => float range_val = high - low float buy_pressure = range_val > 0 ? (close - low) / range_val : 0.5 float sell_pressure = range_val > 0 ? (high - close) / range_val : 0.5 // Apply smoothing float pressure_ratio = ta.ema(raw_buy, i_pressure_len) float pressure_smooth = ta.ema(pressure_ratio, i_smooth_len) Pressure components: Buy Pressure: Where price closed within the bar's range (0-1) Sell Pressure: Complementary sell pressure (0-1) Pressure Ratio: Buy pressure as a ratio Smoothing: EMA smoothing for cleaner signals Range Normalization: Pressure relative to bar's range Pressure above 0.5 indicates buying dominance, below 0.5 indicates selling dominance. 2. Volume-Weighted Pressure Volume analysis confirms the significance of pressure: // Volume relative strength float vol_sma = ta.sma(volume, i_pressure_len) float vol_ratio = vol_sma > 0 ? volume / vol_sma : 1.0 float vol_weight = math.min(vol_ratio, 3.0) / 3.0 // Cap at 3x average // Volume-weighted pressure float vw_pressure = pressure_smooth * (0.7 + vol_weight * 0.3) // Cumulative pressure float cum_pressure = ta.sma(raw_buy, i_pressure_len) - 0.5 // Centered at 0 Volume features: Volume Ratio: Current volume relative to average Volume Weight: Normalized volume influence (0-1) VW Pressure: Pressure adjusted for volume participation Cumulative Pressure: Running pressure average Volume Cap: Prevents extreme volume from distorting signals High volume confirms pressure significance, while low volume questions its reliability. 3. Momentum Analysis Multiple momentum factors are combined for comprehensive analysis: // Pressure momentum (rate of change) float pressure_momentum = pressure_smooth - pressure_smooth // Pressure acceleration float pressure_accel = pressure_momentum - pressure_momentum // Composite pressure score (-100 to +100) float composite_score = (pressure_smooth - 0.5) * 200 // Momentum-adjusted score float momentum_adjustment = pressure_momentum * 100 float adjusted_score = composite_score + momentum_adjustment * 0.3 Momentum components: Pressure Momentum: Rate of change in pressure Pressure Acceleration: Change in momentum (second derivative) Composite Score: Normalized pressure score (-100 to +100) Momentum Adjustment: Score adjusted for momentum Acceleration Detection: Identifies momentum shifts Momentum analysis reveals not just current pressure but its direction and acceleration. 4. WaveTrend Integration The WaveTrend oscillator adds an additional momentum layer: f_wavetrend(int channel_len, int avg_len) => float ap = hlc3 float esa = ta.ema(ap, channel_len) float d = ta.ema(math.abs(ap - esa), channel_len) float ci = d > 0 ? (ap - esa) / (0.015 * d) : 0.0 float wt1_local = ta.ema(ci, avg_len) float wt2_local = ta.sma(wt1_local, 4) // WaveTrend signals bool wt_bullish = wt1 > wt2 and wt1 > wt1 bool wt_bearish = wt1 < wt2 and wt1 < wt1 bool wt_oversold = wt1 < -60 bool wt_overbought = wt1 > 60 WaveTrend features: WT1/WT2 Lines: Fast and slow WaveTrend lines Cross Signals: Line crossovers for momentum changes Extreme Levels: Overbought (>60) and oversold (<-60) Trend Confirmation: Line slope for additional confirmation Integration: Combined with pressure for confluence WaveTrend provides an independent momentum confirmation. 5. Energy Wave Calculation The indicator combines multiple energy sources: // Energy combines pressure momentum with volume energy float vol_energy = vol_sma > 0 ? (volume - vol_sma) / vol_sma * 100 : 0 float atr_14 = ta.atr(14) float price_energy = atr_14 > 0 ? (close - open) / atr_14 * 100 : 0 float combined_energy = (pressure_momentum * 100 + vol_energy * 0.3 + price_energy * 0.2) / 1.5 float energy_smooth = ta.ema(combined_energy, 5) Energy components: Volume Energy: Volume deviation from average Price Energy: Price movement relative to ATR Pressure Energy: Momentum contribution Combined Energy: Weighted average of all energies Energy Smoothing: EMA for cleaner energy signals Energy waves show the underlying power driving market movements. 6. Divergence Detection The indicator identifies price/momentum divergences: // Price direction float price_change = close - close int price_dir = price_change > 0 ? 1 : price_change < 0 ? -1 : 0 // Pressure direction int pressure_dir = pressure_momentum > i_momentum_thresh ? 1 : pressure_momentum < -i_momentum_thresh ? -1 : 0 // Divergence detection bool bullish_divergence = price_dir == -1 and pressure_dir == 1 bool bearish_divergence = price_dir == 1 and pressure_dir == -1 Divergence types: Bullish Divergence: Price falling but pressure rising Bearish Divergence: Price rising but pressure falling Hidden Divergence: Continuation patterns Regular Divergence: Reversal patterns Threshold Filter: Minimum momentum for valid divergence Divergences often precede significant price reversals. 7. State Classification System The indicator classifies market states based on pressure: // Pressure state // 2 = extreme buying, 1 = buying, 0 = neutral, -1 = selling, -2 = extreme selling var int pressure_state = 0 if pressure_smooth >= i_extreme_high pressure_state := 2 else if pressure_smooth > 0.5 + i_momentum_thresh pressure_state := 1 else if pressure_smooth <= i_extreme_low pressure_state := -2 else if pressure_smooth < 0.5 - i_momentum_thresh pressure_state := -1 // Momentum state // 1 = accelerating, 0 = steady, -1 = decelerating var int momentum_state = 0 if pressure_accel > i_momentum_thresh / 2 momentum_state := 1 else if pressure_accel < -i_momentum_thresh / 2 momentum_state := -1 State meanings: Extreme Buying: Maximum buying pressure (>70%) Buying: Moderate buying pressure (50-70%) Neutral: Balanced pressure (40-60%) Selling: Moderate selling pressure (30-50%) Extreme Selling: Maximum selling pressure (<30%) Accelerating: Momentum increasing Decelerating: Momentum decreasing State classification provides clear, actionable market conditions. Visual Elements Pressure Histogram: Main pressure display with gradient coloring Multi-Layer Glow: Intensity-based glow effects Energy Wave: Separate energy visualization Momentum Line: Momentum rate of change WaveTrend Lines: Additional momentum confirmation Divergence Markers: Visual divergence signals Extreme Zones: Highlighted overbought/oversold areas Dashboard: Comprehensive metrics panel Signal Labels: Key event labels with spacing The dashboard displays: 1. Current pressure state and intensity 2. Momentum state and acceleration 3. Composite score and direction 4. Volume weight and analysis 5. Divergence status and alerts 6. Energy wave readings 7. Confluence quality score 8. WaveTrend status and signals 9. Overall signal strength Input Parameters Pressure Settings: Pressure Period: Pressure calculation period (default: 14) Smoothing Period: EMA smoothing (default: 5) Momentum Lookback: Momentum calculation (default: 10) Thresholds: Extreme Buying: Maximum buying level (default: 0.7) Extreme Selling: Maximum selling level (default: 0.3) Momentum Threshold: Minimum momentum (default: 0.05) WaveTrend Settings: Channel Length: WT calculation period (default: 9) Average Length: WT smoothing period (default: 12) Enable WT: Toggle WaveTrend on/off Visual Settings: Color Scheme: Customizable pressure colors Glow Effects: Enable visual enhancements Show Zones: Display extreme zones Show Labels: Control signal label frequency How to Use This Indicator Step 1: Assess Pressure State Check the dashboard for current pressure state. Extreme states (>70% or <30%) often precede reversals, while moderate states suggest continuation. Step 2: Analyze Momentum Look at momentum direction and acceleration. Accelerating momentum in the pressure direction confirms strength, while deceleration warns of potential reversals. Step 3: Check Volume Confirmation Ensure pressure is supported by volume. High volume pressure is more reliable than low volume pressure. Step 4: Watch for Divergences Divergences are powerful reversal signals. A bullish divergence (price down, pressure up) suggests buying opportunity, while bearish divergence suggests selling. Step 5: Monitor Energy Waves Energy waves show the underlying power. Rising energy confirms current pressure, while falling energy suggests weakening. Step 6: Use Extreme Zones Extreme buying (>70%) often marks tops, while extreme selling (<30%) often marks bottoms. These are contrarian signals. Best Practices Extreme pressure states (>70% or <30%) often precede reversals Divergences are most reliable at extreme levels Volume confirmation is essential - pressure without volume is suspect Momentum acceleration confirms pressure strength Energy waves provide early warning of momentum shifts Multiple timeframe analysis improves signal reliability Combine with trend analysis for optimal results Use WaveTrend crossovers for additional confirmation Keep a pressure journal to track patterns Be patient for the highest quality setups Trading Applications Momentum Trading: Enter when pressure > 60% and accelerating Add to positions as momentum increases Exit when pressure decelerates or reverses Use volume to confirm signal strength Reversal Trading: Look for extreme pressure (>70% or <30%) Wait for divergence confirmation Enter on first sign of pressure reversal Target mean reversion to 50% level Divergence Trading: Identify clear price/pressure divergences Confirm with volume and energy analysis Enter on momentum shift confirmation Use tight stops due to reversal nature Strategy Integration This indicator enhances any trading system: Use pressure as a trend confirmation filter Import momentum scores for signal weighting Apply divergence detection for early warnings Use extreme zones for contrarian signals Integrate volume-weighted pressure for confirmation Export pressure states for custom logic Technical Implementation Built with Pine Script v6 featuring: Advanced pressure calculation with range normalization Volume-weighted analysis with capping Multi-factor momentum scoring system WaveTrend oscillator integration Energy wave calculation combining multiple sources Sophisticated divergence detection with thresholds State classification with multiple dimensions Multi-layer visualization with glow effects Real-time dashboard with 10 key metrics Alert conditions for all major pressure events The code uses confirmed bars for all calculations to prevent repainting. Originality Statement This indicator is original in its comprehensive approach to pressure and momentum analysis. While individual components (RSI, MACD, WaveTrend) are established tools, this indicator is justified because: It synthesizes pressure analysis with volume weighting for more accurate signals The energy wave concept combines multiple momentum sources into unified analysis State classification provides clear, actionable market conditions Divergence detection includes threshold filtering for higher quality signals Multi-layer visualization with glow effects enhances readability The dashboard presents complex pressure dynamics in an accessible format Volume-weighted pressure adds confirmation often missing from momentum indicators Acceleration analysis provides early warning of momentum shifts Export functions enable integration with any trading system Each component provides unique insights: pressure shows force, volume shows participation, momentum shows direction, energy shows power, and divergence shows potential reversals The indicator's value lies in measuring the underlying forces that drive price movements rather than just tracking price itself, providing traders with deeper insight into market dynamics and potential future direction. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Pressure and momentum analysis is a tool for understanding market forces, not a prediction system. Pressure and momentum can change suddenly due to news events, economic data, or changes in market sentiment. Extreme pressure states can persist longer than expected, and divergences can fail without warning. The indicator's signals are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis. Always use proper risk management, including stop losses and position sizing appropriate for your account and risk tolerance. Never trade against strong pressure without confirmation - the trend can remain in force longer than your account can survive. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
8:00-8:15 ORB Retest on 5m Time Frame v1.3ORB Retest on 5m Time Frame Breakout → Retest → Confirm → Enter A structured session indicator designed to trade continuation after an opening range breakout using midpoint retests and confirmation. Opening Range defines session structure Breakout sets directional bias (with multiple detection modes) Midpoint retest provides entry location Momentum confirmation triggers signals Triple ATR-based TP levels and structure-based SL manage risk The system avoids chasing breakouts and instead waits for price acceptance and momentum confirmation. --- Timeframe Designed exclusively for the 5-minute chart. The opening range is built using the first three 5-minute candles. --- Opening Range Levels OR High — upper boundary (teal) OR Low — lower boundary (red) OR Midpoint — primary retest level (amber, dashed) Shaded zone between High and Low for visual clarity The midpoint acts as the primary retest level for entries. --- Breakout Direction Mode (New in v1.2) Four modes to determine how directional bias is set after the opening range: First Break — original behavior; whichever direction breaks out first locks the bias Last Break — bias updates with each new breakout before the entry window opens, capturing the final sentiment Strongest Break — the breakout with the largest candle body wins; more conviction = more significant Directional Preference — manually select Bullish or Bearish; bias is set when the OR locks regardless of price action For Last Break and Strongest Break modes, triangle markers appear on the chart each time the bias flips, so you can visually track the tug-of-war between bulls and bears before the entry window. --- Bias Logic Close above OR High → Bullish Bias Close below OR Low → Bearish Bias Depending on the selected Breakout Direction Mode, the bias may lock on the first break, update with subsequent breaks, follow the strongest candle body, or be manually chosen. --- Entry Logic Wait for midpoint retest Require confirmation Signal triggers within the active session window Three confirmation modes are available: Retest Close Reclaim Break Retest Candle Hybrid (default) --- Risk Management — Triple TP System (New in v1.2) Three take-profit levels are automatically calculated using ATR, all shown on the chart from the moment a signal fires: TP1 — 2× ATR (default) — solid line TP2 — 3× ATR (default) — dashed line TP3 — 5× ATR (default) — dotted line SL — structure-based, remains fixed throughout the trade Each TP and SL level gets a label when hit (TP1 ✓, TP2 ✓, TP3 ✓, SL ✗), so you can see exactly where targets were reached or where the stop was triggered. All ATR multipliers are fully adjustable in the settings. Alert conditions are available for each individual TP hit and SL hit. --- Chart Elements Opening Range High / Low / Mid with shaded zone Breakout markers (triangles) Retest markers (diamonds) Buy / Sell signal labels TP1 / TP2 / TP3 and SL levels with hit labels On-chart dashboard with full state tracking --- Dashboard The on-chart dashboard displays real-time state: Session preset Breakout Direction Mode First break direction Current bias Retest status Signal status Confirmation mode Individual TP1 / TP2 / TP3 and SL hit status TP ATR multiplier values --- Typical Workflow Apply on a 5-minute chart Select your session and breakout direction mode Allow opening range to form Observe breakout(s) and bias assignment Wait for midpoint retest Enter after confirmation Monitor TP1 → TP2 → TP3 progression --- v1.2 Release Notes Added Breakout Direction Mode with four options: First Break, Last Break, Strongest Break, Directional Preference Added triple take-profit system (TP1, TP2, TP3) with independent ATR multipliers TP and SL hit labels appear on chart when each level is reached Added alert conditions for each TP hit and SL hit Styled OR lines with updated color palette (teal / red / amber) Added shaded zone between OR High and OR Low Updated dashboard with Breakout Direction Mode, individual TP status, and ATR multiplier display v1.1 Release Notes Added ORB session selection (New York, London, Asia) Replaced breakout text labels with directional triangle icons Replaced retest text labels with diamond icons Added on-chart dashboard Dashboard now shows directional state instead of checkmarks Added Buy / Sell signal display in dashboard Added color-coded dashboard values (green bullish, red bearish) Updated Buy/Sell signal label colors Added TP / SL outcome tracking in dashboard --- Feedback This script is shared publicly to help traders study structured opening range continuation setups. Feedback and suggestions are welcome Ideas for improvements or additional features are appreciated If you find it useful, consider leaving a boost Giving away free trials for my Pivot-Cluster Sweep Confirmation Model! DM me through instagram @alf_algo for access, and check out my instagram! Feel free to check out my other indicators!
Indicador Pine Script®
por alifiando
Institutional Decision Engine [JOAT]Institutional Decision Engine Introduction The Institutional Decision Engine is a comprehensive, unified trading system that integrates six distinct analytical engines into a cohesive decision-making framework. This is not just another indicator - it's a complete trading intelligence system designed to replicate the analytical approach of institutional trading desks. By combining market regime classification, structural analysis, momentum pressure, volatility intelligence, directional bias, and signal qualification into one unified system, this engine provides the holistic market analysis that professional traders rely on for consistent success. This tool is built for serious traders who understand that successful trading requires multiple layers of analysis and confirmation. Whether you're a systematic trader needing a complete decision framework, a discretionary trader seeking comprehensive market intelligence, or an algorithm developer requiring robust signal generation, this engine provides the institutional-grade analysis needed to trade with the confidence and precision of professional market participants. Why This Engine Exists Most traders use fragmented indicators that provide conflicting signals, leading to confusion and poor decisions. This engine solves that fundamental problem by: Unified Framework: Six engines working together as one cohesive system Regime-Adaptive Logic: Automatically adjusts analysis based on market conditions Multi-Layer Confirmation: Requires confluence across multiple analytical dimensions Signal Qualification: Objectively scores and grades every potential signal Risk Intelligence: Dynamic risk management based on market volatility and structure Visual Clarity: Comprehensive visualization of all analytical components The engine transforms the chaotic world of multiple indicators into a single, unified source of market truth that provides clear, actionable trading intelligence. Core Components Explained Engine 1: Market Regime Classification The first engine identifies the current market environment: // Regime Classification: 0=Neutral, 1=Trending, 2=Ranging, 3=Volatile int market_regime = 0 if volatility_state == 1 and adx_value < i_trend_threshold market_regime := 3 // Volatile Expansion else if adx_value >= i_trend_threshold market_regime := 1 // Trending else if volatility_state == -1 market_regime := 2 // Ranging/Consolidation // Regime Strength (0-100) float regime_strength = 0.0 if market_regime == 1 regime_strength := math.min(adx_value / 50.0 * 100, 100) else if market_regime == 2 regime_strength := math.min((1 - volatility_ratio) / (1 - i_contraction_mult) * 100, 100) Regime types: Trending: Strong directional markets with ADX > 25 Ranging: Low volatility consolidation phases Volatile: High volatility, chaotic conditions Neutral: Transition periods between defined states Regime Strength: How strongly the market exhibits regime characteristics Regime classification determines which strategies are appropriate and how risk should be managed. Engine 2: Structural Behavior Analysis The second engine maps market structure and key levels: // Structure Analysis bool higher_high = not na(last_swing_high) and not na(prev_swing_high) and last_swing_high > prev_swing_high bool lower_low = not na(last_swing_low) and not na(prev_swing_low) and last_swing_low < prev_swing_low bool higher_low = not na(last_swing_low) and not na(prev_swing_low) and last_swing_low > prev_swing_low bool lower_high = not na(last_swing_high) and not na(prev_swing_high) and last_swing_high < prev_swing_high // Structure Score (0-100) float structure_score = 0.0 structure_score += structure_bias == 1 ? 30 : structure_bias == -1 ? 0 : 15 structure_score += higher_high ? 20 : lower_low ? 0 : 10 structure_score += bos_bullish ? 30 : bos_bearish ? 0 : 15 Structure components: Swing Points: Key highs and lows defining market structure Market Structure: Higher highs/higher lows (bullish) or lower highs/lower lows (bearish) Break of Structure: Confirmation of trend changes Liquidity Zones: Equal highs/lows where orders cluster Structure Score: Quantifies structural quality (0-100) Structural analysis identifies the levels where professional traders place orders. Engine 3: Momentum Pressure Analysis The third engine measures buying and selling pressure: // Composite Momentum Score float momentum_bull_score = 0.0 momentum_bull_score += wt_bullish ? 25 : 0 momentum_bull_score += rsi_bullish ? 25 : 0 momentum_bull_score += weighted_pressure > 0.1 ? 25 : weighted_pressure > 0 ? 12.5 : 0 momentum_bull_score += macd_bullish ? 25 : 0 // Net Momentum State float net_momentum = momentum_bull_score - momentum_bear_score int momentum_state = net_momentum > 25 ? 1 : net_momentum < -25 ? -1 : 0 Momentum components: WaveTrend: Trend-following momentum oscillator RSI: Relative strength with momentum filter Pressure Analysis: Volume-weighted buying/selling pressure MACD: Trend acceleration and deceleration Momentum State: Bullish, bearish, or neutral momentum Momentum analysis confirms the strength and timing of potential moves. Engine 4: Volatility Intelligence Layer The fourth engine analyzes volatility cycles and squeezes: // Squeeze Detection bool squeeze_on = bb_lower > kc_lower and bb_upper < kc_upper bool squeeze_off = bb_lower < kc_lower or bb_upper > kc_upper // Volatility Cycle Phase int vol_cycle_phase = 0 if squeeze_on and squeeze_duration > 5 vol_cycle_phase := 1 // Compression else if squeeze_off and squeeze_duration > 0 vol_cycle_phase := 2 // Expansion Trigger else if volatility_ratio > 1.2 vol_cycle_phase := 3 // Active Expansion // Adaptive Multipliers float stop_multiplier = vol_cycle_phase == 3 ? 1.5 : vol_cycle_phase == 1 ? 0.8 : 1.0 float target_multiplier = vol_cycle_phase == 3 ? 1.3 : vol_cycle_phase == 1 ? 1.5 : 1.0 Volatility components: Bollinger Bands: Standard deviation-based volatility Keltner Channels: ATR-based volatility Squeeze Detection: Volatility compression patterns Cycle Phases: Compression, trigger, expansion, normal Adaptive Multipliers: Dynamic risk adjustments Volatility intelligence ensures risk management adapts to market conditions. Engine 5: Directional Bias Model The fifth engine establishes directional conviction: // Bias Computation float bullish_bias = 0.0 bullish_bias += ma_bullish_stack ? 30 : 0 bullish_bias += price_above_structure ? 20 : 0 bullish_bias += close > ma_anchor ? 15 : 0 bullish_bias += pos_di > neg_di ? 20 : 0 bullish_bias += slopes_aligned_bull ? 15 : 0 // Net Bias float net_bias = bullish_bias - bearish_bias int bias_direction = net_bias > i_bias_threshold / 2 ? 1 : net_bias < -i_bias_threshold / 2 ? -1 : 0 Bias components: MA Stack: Fast/slow/anchor moving average relationships Price Position: Where price sits relative to MAs ADX Direction: +DI vs -DI for trend confirmation MA Slopes: Directional momentum of moving averages Bias Strength: 0-100 indicating directional conviction Directional bias provides the primary directional framework for trading decisions. Engine 6: Signal Qualification System The sixth engine evaluates and qualifies all signals: // Confluence Scoring int bull_confluence = 0 bull_confluence += market_regime == 1 and trend_direction == 1 ? 2 : 0 bull_confluence += structure_bias == 1 ? 1 : 0 bull_confluence += bos_bullish ? 1 : 0 bull_confluence += momentum_state == 1 ? 2 : 0 bull_confluence += bias_direction == 1 ? 2 : 0 bull_confluence += squeeze_off and net_momentum > 0 ? 1 : 0 // Qualification Check bool bull_qualified = bull_confluence >= i_min_confluence bool bear_qualified = bear_confluence >= i_min_confluence // Final Signal Generation bool long_signal = bull_qualified and bull_trigger and bars_since_bull > i_signal_cooldown and bar_confirmed and market_regime != 3 Qualification components: Confluence Score: Points from each engine (max 10) Minimum Threshold: Required confluence for signals (default: 5) Signal Triggers: Entry conditions (crossovers, breakouts, etc.) Cooldown Management: Prevents overtrading Quality Grades: A-D grades based on confluence score Signal qualification ensures only high-probability setups are traded. Visual Elements Directional Cloud: Dynamic cloud showing trend and conviction Signal Markers: Clear entry signals with quality grades Risk Levels: Visual stop loss and target levels Structure Points: Marked swing highs and lows Squeeze Background: Volatility compression indication Signal Background: Signal strength background shading Moving Averages: Color-coded MA system Dashboard: Comprehensive intelligence panel The dashboard displays: 1. Current market regime and strength 2. Trend direction and bias scores 3. Momentum state and pressure readings 4. Volatility cycle and squeeze status 5. Structure analysis and bias 6. Signal qualification and grade 7. Risk metrics and multipliers 8. Active position information Input Parameters Regime Engine: ADX Period: Trend strength calculation (default: 14) Trend Threshold: Minimum ADX for trend (default: 25) Volatility Multipliers: Expansion/contraction thresholds Structure Engine: Swing Sensitivity: Pivot detection sensitivity (default: 10) Structure Confirmation: Bars for confirmation (default: 3) Show Liquidity: Display liquidity zones Momentum Engine: Pressure Period: Pressure calculation (default: 14) WaveTrend Settings: Channel and average periods RSI Period: Momentum oscillator (default: 14) Volatility Layer: Bollinger Settings: Period and deviation Keltner Settings: Period and multiplier Adaptive Stops: Enable dynamic stops Signal Qualification: Minimum Confluence: Required score (default: 5) Signal Cooldown: Bars between signals (default: 5) Minimum R:R: Risk/reward requirement (default: 1.5) How to Use This Engine Step 1: Understand Market Regime Check the dashboard for current regime. Avoid trading in volatile regimes (red), focus on trending regimes (green), and adapt strategy for ranging regimes (purple). Step 2: Assess Directional Bias Look for strong bias scores (>60) with MA stack confirmation. The bias should be clear across multiple components before considering entries. Step 3: Confirm Momentum Ensure momentum supports the directional bias. Look for pressure in the direction of trade and momentum acceleration. Step 4: Verify Structure Entries near structural levels have higher probability. Look for BOS confirmation and avoid trading against established structure. Step 5: Check Volatility Be aware of volatility cycles. Squeeze releases offer high-probability breakout opportunities. Adjust stops based on volatility multipliers. Step 6: Qualify Signals Only take signals with 5+ confluence points. A-grade signals (8+ points) offer the highest probability and deserve larger position sizing. Best Practices Always trade in the direction of the dominant bias Higher confluence scores mean higher probability setups Respect regime changes - they signal strategy adjustments Use the directional cloud as primary trend guidance Place stops using the volatility-adjusted levels Scale out at multiple targets as provided Avoid trading during volatile regimes unless experienced Wait for A-grade setups rather than forcing mediocre trades Keep a trade journal tracking regime/bias combinations Never override the system's risk management without strong reason Strategy Integration This engine is a complete trading system: Use signal qualification as primary entry filter Apply regime-based position sizing Import bias scores for trend confirmation Use structure levels for stop placement Integrate volatility multipliers for risk management Export all engine outputs for custom strategies Technical Implementation Built with Pine Script v6 featuring: Six-engine architecture with unified signal processing Advanced regime detection with ADX/ATR analysis Comprehensive structure analysis with swing detection Multi-factor momentum scoring system Volatility cycle analysis with squeeze detection Directional bias calculation with multiple confirmations Signal qualification with confluence scoring Dynamic risk management with adaptive multipliers Comprehensive visualization with directional cloud Real-time dashboard with 12 key metrics Export functions for complete system integration The code uses confirmed bars throughout to prevent repainting and ensure reliable signals. Originality Statement This engine is original in its comprehensive integration of six distinct analytical systems into a unified decision framework. While individual components (ADX, moving averages, RSI, etc.) are established tools, this engine is justified because: It synthesizes six independent analytical engines into one cohesive system The regime-adaptive logic automatically adjusts behavior based on market conditions Signal qualification provides objective, numerical evaluation of trade quality The directional cloud visualization offers intuitive trend analysis Dynamic risk management adapts to volatility and structure Comprehensive dashboard presents all critical metrics in one view Each engine contributes unique insights: regime shows when to trade, structure shows where, momentum shows timing, volatility shows how much, bias shows direction, and qualification shows quality The engine solves the real problem of indicator overload and conflicting signals Export functions enable complete system integration and customization This is institutional-grade analysis typically available only to professional traders The engine's value lies in providing a complete, unified trading intelligence system that eliminates analysis paralysis and provides clear, actionable signals based on comprehensive market analysis. Disclaimer This engine is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. This is a comprehensive analysis tool, not a guaranteed profit system. Even with comprehensive analysis, markets can behave unpredictably due to news events, economic data, or changes in market structure. Past performance of the system does not guarantee future results. The engine's signals are mathematical calculations based on historical patterns and should be used with proper risk management. Always use stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose on any single trade, regardless of signal quality or confluence score. The author is not responsible for any losses incurred from using this engine. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
S3.1 SFP EMA Turtle Strategy for Hyperliquid [HYPR-run]Building block #3 in the strategy series. The complete priority chain with all five slots filled: three entry systems, pyramid scaling, 4-mode ATR trailing exits, smart stops, and failsafe stop. This is the fully-assembled version of the S1.1/S2.1 template. Uses the same ATR trailing module as ATR Trailing with all four architectures, separate long/short lookbacks (default 14/26), and separate multipliers. The indicator runs standalone for alerts; this strategy embeds it as the exit engine with a minimum-bars-in-trade guard to prevent premature exits on pyramids. Smart stops detect when a trade has moved against you beyond a threshold AND broken the entry bar's structure. This catches failing trades earlier than a trailing stop or fixed percentage. The SFP detector runs three lookback configurations simultaneously (5/2, 5/5, 13/3) and requires full bar confirmation plus wick validation. ATR MODES A3.1: LinReg + plain ATR, no ratchet. The baseline. Linear regression projects where price is heading, plain ATR sets the distance. Stop moves freely in both directions. A4.0: LinReg + VWATR + Efficiency Ratio + ratchet (default). Volume- weighted ATR discounts low-liquidity candles. The Efficiency Ratio (Kaufman) measures trend quality: in a clean trend it widens the stop; in chop it tightens. Ratchet floor means the stop only moves in your favor. A4.1: Chandelier + VWATR + ratchet + first-bar multiplier. Anchored to the highest high (longs) or lowest low (shorts). First-bar multiplier sets a tighter initial stop, then the standard multiplier takes over. A4.2: LinReg + VWATR, no ratchet. Same as A4.0 without ratchet floor or Efficiency Ratio. Stop moves freely with the projection. FEATURES - Swing Failure Pattern (SFP) entries with multi-lookback detection - EMA crossover entries: four configurable pairs - Turtle breakout entries with volume/body confirmation - Smart stops: swing structure invalidation + P&L threshold - Four ATR trailing architectures selectable via dropdown - Volume-weighted ATR: low-liquidity candles contribute less - Efficiency Ratio: tightens in chop, widens in trend (A4.0) - Ratchet floor: stop only moves in your favor (A4.0, A4.1) - First-bar multiplier for tighter initial protection (A4.1) - Separate ATR lookbacks for longs (14) and shorts (26) - Separate multipliers for longs and shorts - Pyramid entries on 5-bar extremes - SFP nullification: active SFP candles block opposing entries - Wick nullification: 38.2%+ wicks block entries - Market structure labels (HH, LH, HL, LL) - Bot Mode for lighter live calculation - Failsafe percentage stop as absolute floor - Late entry ATR window (reference lines around entry price) BUILDING BLOCK SERIES S1.1: EMA crossover entries + priority chain template S2.1: adds Turtle breakout entries + ATR trailing exits + pyramids S3.1 (this): adds Swing Failure Pattern entries + smart stops + 4-mode ATR trailing module The three strategies show progressive refinement of the same architecture. S1.1 teaches the structure; S2.1 adds exit management; S3.1 adds early-exit intelligence and the full ATR module. Each is usable on its own. HOW TO USE WITH WEBHOOKS 1. Add to chart, enable one or more strategy toggles (XO/XU, Turtle, SFP) 2. Configure ATR mode, multipliers, and smart stop threshold 3. Create a TradingView alert, trigger: "Order fills only" 4. Check "Webhook URL" and paste your webhook endpoint 5. Paste the JSON snippet into the Message box 6. Set expiration to Open-ended, create STRUCTURE Signals > Entry Gates > Trade Engine (if/else priority chain) 1. Primary entries (EMA crossover, Turtle breakout, SFP) 2. Pyramid entries (5-bar extremes) 3. Trailing exits (4-mode ATR module) 4. Smart stops (swing structure + P&L threshold) 5. Failsafe stop (percentage floor) CREDITS ATR: J. Welles Wilder (1978) Efficiency Ratio: Perry Kaufman
Estrategia Pine Script®
por HYPR-run
Quad Confluence Reversal v4 by Funded Relay// ──────────────────────────────────────────────── // How to use this strategy: // 1. Add to chart (any timeframe, works best on 5m–1h for reversals) // 2. Recommended symbols: Forex majors (EURUSD, GBPUSD), Indices (US30, NAS100), Crypto (BTCUSD, ETHUSD) // 3. Look for GREEN UP TRIANGLE 🟢📈 below bar → Strong Bullish Reversal (Long entry) // 4. Look for RED DOWN TRIANGLE 🔴📉 above bar → Strong Bearish Reversal (Short entry) // 5. Labels show confluence count (3/4 or 4/4 = highest probability) // 6. Dashboard (top-left table) shows real-time status of all 4 confluences // 7. Only trade when MINIMUM confluences (default 3) are met // 8. Risk management: Use ATR-based SL/TP (adjust multipliers) // 9. Filters: Enable/disable each confluence in inputs //10. Best sessions: London + New York overlap (avoid low vol Asia) //11. Backtest first → Adjust minConfl to 4 for ultra-conservative //12. Alerts: Set for LONG/SHORT signals with confluence count // ────────────────────────────────────────────────
Estrategia Pine Script®
por FundedRelay
OBV Linear Regression Multi-Slope [HYPR-run]DESCRIPTION: Three linear regression slopes fitted to On-Balance Volume. Measures whether accumulation or distribution is accelerating, decelerating, or reversing across short, medium, and long lookbacks simultaneously. Raw OBV tells you the cumulative direction of volume flow. Fitting a linear regression to it gives you the rate of change: the slope. Three slopes at different lookbacks show the structure of volume commitment. When all three agree, volume flow is structurally committed in one direction. When they disagree, the timeframes are in conflict. FEATURES - Three linear regression slope lines on OBV (short 9, medium 26, long 50) - Optional adaptive short lookback (ATR-scaled for low timeframes) - Slope alignment detection: dual (short+long) and triple (all three) - Universal angle normalization (slope/sigma x 45 degrees) - Sigma/Bar ratio: slope strength relative to OBV noise - Auto-adjusts all lookbacks by timeframe (weekly/monthly compress) - Webhook alerts on slope flip or triple alignment - Full bar filter rejects doji/wick-heavy bars - Dashboard with lookback, angle, and sigma/bar for all three lines HOW IT WORKS Linear regression calculates the best-fit line through OBV values over a lookback window. The slope of that line is the rate of volume flow. Positive slope = accumulation accelerating. Negative slope = distribution accelerating. The universal angle normalizes raw slope by OBV standard deviation so the dashboard reads consistently across any asset (BTC's OBV in millions, a low-cap's in thousands, same angle scale). UNIVERSAL ANGLE Slope divided by OBV standard deviation per bar, multiplied by 45. A value of 45 degrees means the slope equals one standard deviation per bar. Makes angle comparable across any asset and timeframe: 30 degrees on BTC means the same relative strength as 30 degrees on SOL. ALERT MODES - Slope Flip: fires when selected lookback crosses zero. Negative to positive = accumulation starting (LONG). Positive to negative = distribution starting (SHORT). - Triple Alignment: fires when all three slopes agree on direction. Fewer signals, higher conviction. Alert payload is built into the script as JSON; works with any webhook receiver. CREDITS On-Balance Volume: Joseph Granville, Granville's New Key to Stock Market Profits (1963)
Indicador Pine Script®
por HYPR-run
ADXVMA Multi-TF Overlay & Alerts [HYPR-run]DESCRIPTION: ADXVMA across three lookback periods on one chart. A moving average that uses the ADX (Average Directional Index) as its smoothing factor; fast in trends, flat in chop. Price crossing above or below a selected ADXVMA fires a webhook-ready alert for automated execution. Based on Linnsoft's ADXvma implementation, combining Chande's Variable Moving Average (VIDYA) with Wilder's ADX as the volatility measure. When ADX is high (strong trend), the MA tracks price closely. When ADX is low (choppy), the MA barely moves. This makes it naturally adaptive without manual adjustment. FEATURES - Three lookbacks: short (auto-adjusts by TF), long, weekly - Fuzzy flat detection (dead zone prevents false trend changes in chop) - Optional ATR volatility scaling (shorter period in high-vol regimes) - Webhook alerts with full bar filter (rejects doji/wick fakeouts) - Select which lookback triggers alerts - Color-coded: green (up), red (down), yellow (flat) HOW IT WORKS ADX measures trend strength on a 0-1 scale and feeds it directly into the MA smoothing factor. High ADX = MA tracks price. Low ADX = MA holds still. The fuzzy factor adds a dead zone so tiny movements register as flat instead of false trend changes. Three simultaneous lookbacks give you short-term, medium-term, and weekly context without switching charts. TIMEFRAME AUTO-ADJUSTMENT The short ADXVMA period automatically adjusts by chart timeframe: Weekly uses 7, Daily uses 9, everything else uses your input (default 13). One setting works across your layout. ALERTS Price crossing above the selected ADXVMA fires a long signal; crossing below fires a short signal. Full bar filter requires the bar body to be at least 66.6% of total range, rejecting doji and wick-heavy crosses. Alert payload is built into the script as JSON; works with any webhook receiver. CREDITS ADXVMA: Linnsoft (linnsoft.com/techind/adxvma) ADX: J. Welles Wilder (1978) VIDYA: Tushar S. Chande, TASC March 1992
Indicador Pine Script®
por HYPR-run
Rolling VWAPs Proximity & Alerts [HYPR-run]DESCRIPTION: Rolling VWAPs across six time horizons on one chart. See where volume-weighted fair value sits at chart TF, 7D, 30D, 60D, 90D and 365D without switching timeframes. Unlike session VWAP that resets daily, rolling VWAP uses a fixed window that slides forward continuously, giving you dynamic support/resistance levels that institutional traders watch. The proximity filter is the key feature. Turn on all six periods, set a threshold, and only RVWAPs near current price appear on chart. Far lines hide automatically; when price approaches, they show up. This keeps charts clean while making sure you never miss a level that matters. FEATURES - Six rolling VWAP periods: Chart TF, 7D, 30D, 60D, 90D, 365D - Proximity filter: only relevant lines appear near price - Bounce/reject detection at each RVWAP level - Webhook alerts on selected RVWAP cross (long/short) - Status table: row 1 positioning context (above/below each RVWAP), row 2 live events (bouncing, rejecting, XO, XU) - Polyline labels with proximity % from price - Toggle each period independently HOW IT WORKS Rolling VWAP calculates cumulative (price x volume) / cumulative volume over a fixed lookback window. The 30D RVWAP always reflects the last 30 calendar days of volume-weighted price. When price crosses above it, the market is trading above recent fair value; crossing below means price has fallen below where volume concentrated. Bounces confirm support holding; rejects confirm resistance holding. STATUS TABLE Two-row dynamic dashboard that updates every bar. - Row 1 (positioning): which RVWAPs price is above or below, grouped with "&" separators. The 365D RVWAP is separated as the anchor; its direction drives the color indicator (green = above yearly fair value, red = below) - Row 2 (events): up to 3 simultaneous events, most significant period first (365D → 90D → 60D → 30D → 7D). Bouncing (support holding), rejecting (resistance holding), XO (crossover), XU (crossunder). Color intensity maps to event significance. Dark gray when idle - Runs independently of display toggles; events fire for all periods even if the line is hidden by the proximity filter ALERTS Price crossing above the selected RVWAP fires a long signal; crossing below fires a short signal. Full bar filter rejects doji and wick-heavy crosses. Select which RVWAP period to alert on in settings (default: 30D). Alert payload is built into the script as JSON; works with any webhook receiver. TIMEFRAME RECOMMENDATIONS - 7D: best on 8hr and below - 30D: the default, works on most timeframes - 60D: best on 3-Day and below - 90D: best on Weekly and below - 365D: works on Monthly and below
Indicador Pine Script®
por HYPR-run
S1.1 EMA Crossover Strategy for Hyperliquid [HYPR-run]Building block #1 in the strategy series. Baseline strategy template with configurable EMA crossover entries and a structured trade engine. Designed as a starting point; the priority chain architecture has empty slots for pyramids, trailing exits, and smart stops that are filled in S2.1 and S3.1. This is a teaching strategy. It demonstrates the if/else priority chain where entries take precedence over exits on the same bar, the full bar filter, and the entry gate pattern used across all strategies in the series. Study the source, understand the structure, then build on it. FEATURES - Four configurable EMA pairs: 5/13, 9/26, 12/25, 26/128 - Crossover long, crossunder short - If/else priority chain: entries block exits on the same bar - Failsafe percentage stop (configurable) - Full bar filter (body >= 66.6% of range) - Volume spike detection - Separate long/short toggles - Quant filter candle coloring BUILDING BLOCK SERIES S1.1 (this): EMA crossover entries + priority chain template S2.1: adds Turtle breakout entries + ATR trailing exits + pyramids S3.1: adds Swing Failure Pattern entries + smart stops (swing structure) Each strategy fills more slots in the priority chain. The architecture is the same across all three; the difference is which modules are active. HOW TO USE WITH WEBHOOKS 1. Add to chart, select EMA pair and configure stop percentage 2. Create a TradingView alert, trigger: "Order fills only" 3. Check "Webhook URL" and paste your webhook endpoint 4. Paste the JSON snippet into the Message box 5. Set expiration to Open-ended, create STRUCTURE Signals > Entry Gates > Trade Engine (if/else priority chain) 1. Primary entries (EMA crossover) 2. Pyramid entries (empty slot; filled in S2.1) 3. Trailing exits (empty slot; filled in S2.1) 4. Smart stops (empty slot; filled in S3.1) 5. Failsafe stop (percentage floor)
Estrategia Pine Script®
por HYPR-run
ATR Volume ROC Acceleration & Alerts [HYPR-run]DESCRIPTION: Rate of change applied to ATR and volume to measure volatility acceleration and participation momentum. ATR ROC catches expanding ranges before the move is obvious on price; volume ROC confirms whether participation backs the expansion. Gradient coloring intensifies with sustained directional momentum and fades on pullbacks. Volume ROC is auto-scaled to ATR ROC's range using the ratio of their standard deviations, so both signals plot in the same visual ballpark without one crushing the other. FEATURES - ATR ROC columns with advance/decline gradient (orange/red) - Volume ROC histogram, auto-scaled to ATR ROC range (cyan/blue gradient) - Vol breakout markers: new 233-bar ATR ROC high (yellow) and 30-bar range break (red) - Standard deviation filter for extreme ATR acceleration events - Structural ATR regime line (RMA baseline, optional) - Webhook-ready alerts with full bar filter - Full bar filter: body >= 66.6% of range (no doji fakeouts) HOW IT WORKS ATR measures range; its ROC measures whether ranges are expanding or contracting. Volume ROC (applied to the range of volume over N bars) measures whether participation is surging or fading. The advance/decline gradient (credit: LucF) tracks consecutive advances and declines relative to their historical max, mapping the ratio to color transparency. Strong sustained moves are vivid; weak or choppy moves are faded. ALERTS Two alert modes: - Vol Breakout: ATR ROC exceeds 233-bar high (fewest signals, highest conviction) - Std Dev Spike: ATR ROC exceeds its standard deviation band (more frequent) Bar direction determines LONG or SHORT. Full bar filter applies to both modes. Alert payload is built into the script; works with any webhook receiver. CREDITS Advance/Decline Gradient function: LucF
Indicador Pine Script®
por HYPR-run
Open Interest Flow & Context Overlay [HYPR-run]DESCRIPTION: Reads Binance perpetual open interest and classifies each bar into one of eight context states based on OI direction, price direction, and volume direction. Flow arrows show how open interest is developing bar by bar; the context matrix tells you what it means. OI rising + price rising + volume rising = new longs with conviction. OI rising + price falling + volume rising = new shorts with conviction. OI falling + price falling = long squeeze (liquidation, trend acceleration). OI falling + price rising + volume = short squeeze (covering, trend acceleration). The matrix answers: who is entering, who is exiting, and is volume confirming? FEATURES - Eight OI context states with color-coded overlay arrows - Two-row dashboard: OI context state + OI flow arrows with color badges - Strong/weak filter: price + volume + OI alignment required for full signals - Direction flip tracking: fresh signals vs continuation (brighter vs dimmer) - ZLEMA-based trend detection (smoother than raw crossovers) - Webhook-ready alerts on strong OI signals with full bar filter - Full bar filter: body >= 66.6% of range (no doji fakeouts) DASHBOARD Two-row display: OI context state and OI flow. Row 1 classifies the current bar from the eight-state matrix. Row 2 shows the active flow arrow state matching the arrows on chart. HOW IT WORKS ZLEMA (zero-lag EMA) detects rising/falling direction on three inputs: open interest, price, and volume. The combination determines the context state. Strong signals require all three aligned. A fixnan state variable tracks direction flips to distinguish fresh entries from continuation. OI data is pulled from Binance perpetual contracts (USDT or coin-margined). Auto-detects the coin from the chart symbol, or enter manually for non-Binance tickers. ALERTS Fires on strong OI long/short signals (all three aligned) with a full directional bar. Fresh direction flips are distinguished from continuation. Alert payload is built into the script; works with any webhook receiver. CREDITS OI data approach: ByzantiumScripts, spacemanbtc
Indicador Pine Script®
por HYPR-run
Bot Webhook v8.4 [SOL]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator ======================================== ENGLISH ======================================== Data-driven signal generation for SOL/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles. OVERVIEW This script is the SOL/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "SOLUSD" is hardcoded in the alert - ideal for use with an automated trading bot. Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only) SIGNAL LOGIC LONG Signals (v7.3 Base): - RSI < TF-specific threshold (Oversold) - Stochastic K < TF-specific threshold - RSI Slope > TF-specific threshold (Momentum reversal) - ADX < TF-specific threshold (no excessive counter-trend) - Proven performance: 68.2% $20-rate, R/R 1.48x SHORT Signals (v7.3 Base + Keltner Squeeze): - RSI > TF-specific threshold (Overbought) - Stochastic K > TF-specific threshold - RSI Slope < TF-specific threshold (Momentum reversal) - Squeeze SHORT: Bollinger inside Keltner + bearish momentum - Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze) INDICATORS - EMA 20/50/200 (Trend detection + filter) - RSI 14 + RSI Slope (Momentum + direction change) - Stochastic RSI (Overbought/Oversold conditions) - MACD 12/26/9 (Momentum confirmation) - Bollinger Bands 20/2.0 (Volatility + Squeeze Detection) - Keltner Channel 20/1.5 (Squeeze Detection) - ADX 14 (Trend strength) - ATR 14 (Stop Loss / Take Profit calculation) - Volume SMA 20 (Volume confirmation) REGIME DETECTION Trend Regime (EMA-based): - STRONG_TREND_UP / STRONG_TREND_DOWN - WEAK_TREND_UP (BLOCKED - 0% success rate!) - WEAK_TREND_DOWN / NEUTRAL Volatility Regime (ADX + ATR Percentile): - TRENDING_HIGH_VOL / TRENDING_LOW_VOL - SQUEEZE_BUILDING / BREAKOUT_IMMINENT - RANGING_HIGH_VOL / RANGING_LOW_VOL - TRANSITIONAL CONFIDENCE CALCULATION Base confidence from verified win rates per timeframe (0.72-0.92) Modifiers: + Extreme RSI/StochK values (+0.03 to +0.05) + Trending High Vol Regime (+0.04) - Ranging High Vol Regime (-0.08) - Squeeze Building (-0.03) - Counter-trend (-0.10) - Low Volume (-0.05) Min. confidence for alert: 70% (adjustable) STOP LOSS / TAKE PROFIT Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67 Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5 TIMEFRAMES Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds) Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+) 4m: LONG + SHORT disabled (no data) WEBHOOK ALERT FORMAT (JSON) {"signal":"long/short", "symbol":"SOLUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}} SETUP 1. Apply script to SOLUSDT/SOLUSD chart 2. Select desired timeframe (30S-20m) 3. Create alert and enter webhook URL 4. Create a separate alert for each timeframe Other versions available: ETH, BTC AUTOMATED TRADING BOT Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation. - Full bot with live trading or paper trading mode - Processes all signals from this indicator automatically - Built-in risk management with ATR-based SL/TP - Multi-timeframe support (30S-20m) More info: futuresbot.de Or send me a direct message here on TradingView! DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. ======================================== DEUTSCH ======================================== Datengetriebene Signalgenerierung fuer SOL/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles. UEBERBLICK Dieses Script ist die SOL/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "SOLUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot. Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT) TIMEFRAMES Unterstuetzt: 30S, 45S, 1m-20m (alle mit eigenen optimierten Schwellenwerten) Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+) 4m: LONG + SHORT deaktiviert (keine Daten) SETUP 1. Script auf SOLUSDT/SOLUSD Chart anwenden 2. Gewuenschten Timeframe waehlen (30S-20m) 3. Alert erstellen und Webhook-URL eintragen 4. Fuer jeden Timeframe einen separaten Alert erstellen Weitere Versionen verfuegbar: ETH, BTC AUTOMATISIERTER TRADING-BOT Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung. - Kompletter Bot mit Live-Trading oder Paper-Trading-Modus - Verarbeitet alle Signale dieses Indikators automatisch - Integriertes Risikomanagement mit ATR-basiertem SL/TP - Multi-Timeframe-Unterstuetzung (30S-20m) Mehr Infos: futuresbot.de Oder schreib mir eine persoenliche Nachricht hier auf TradingView! HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
Indicador Pine Script®
por jura1986
Bot Webhook v8.4 [BTC]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator ======================================== ENGLISH (EN) ======================================== Data-driven signal generation for BTC/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles. OVERVIEW This script is the BTC/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "BTCUSD" is hardcoded in the alert - ideal for use with an automated trading bot. Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only) SIGNAL LOGIC LONG Signals (v7.3 Base): - RSI < TF-specific threshold (Oversold) - Stochastic K < TF-specific threshold - RSI Slope > TF-specific threshold (Momentum reversal) - ADX < TF-specific threshold (no excessive counter-trend) - Proven performance: 68.2% $20-rate, R/R 1.48x SHORT Signals (v7.3 Base + Keltner Squeeze): - RSI > TF-specific threshold (Overbought) - Stochastic K > TF-specific threshold - RSI Slope < TF-specific threshold (Momentum reversal) - Squeeze SHORT: Bollinger inside Keltner + bearish momentum - Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze) INDICATORS - EMA 20/50/200 (Trend detection + filter) - RSI 14 + RSI Slope (Momentum + direction change) - Stochastic RSI (Overbought/Oversold conditions) - MACD 12/26/9 (Momentum confirmation) - Bollinger Bands 20/2.0 (Volatility + Squeeze Detection) - Keltner Channel 20/1.5 (Squeeze Detection) - ADX 14 (Trend strength) - ATR 14 (Stop Loss / Take Profit calculation) - Volume SMA 20 (Volume confirmation) REGIME DETECTION Trend Regime (EMA-based): - STRONG_TREND_UP / STRONG_TREND_DOWN - WEAK_TREND_UP (BLOCKED - 0% success rate!) - WEAK_TREND_DOWN / NEUTRAL Volatility Regime (ADX + ATR Percentile): - TRENDING_HIGH_VOL / TRENDING_LOW_VOL - SQUEEZE_BUILDING / BREAKOUT_IMMINENT - RANGING_HIGH_VOL / RANGING_LOW_VOL - TRANSITIONAL CONFIDENCE CALCULATION Base confidence from verified win rates per timeframe (0.72-0.92) Modifiers: + Extreme RSI/StochK values (+0.03 to +0.05) + Trending High Vol Regime (+0.04) - Ranging High Vol Regime (-0.08) - Squeeze Building (-0.03) - Counter-trend (-0.10) - Low Volume (-0.05) Min. confidence for alert: 70% (adjustable) STOP LOSS / TAKE PROFIT Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67 Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5 TIMEFRAMES Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds) Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+) 4m: LONG + SHORT disabled (no data) WEBHOOK ALERT FORMAT (JSON) {"signal":"long/short", "symbol":"BTCUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}} SETUP 1. Apply script to BTCUSDT/BTCUSD chart 2. Select desired timeframe (30S-20m) 3. Create alert and enter webhook URL 4. Create a separate alert for each timeframe Other versions available: ETH, SOL AUTOMATED TRADING BOT Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation. - Full bot with live trading or paper trading mode - Processes all signals from this indicator automatically - Built-in risk management with ATR-based SL/TP - Multi-timeframe support (30S-20m) More info: futuresbot.de Or send me a direct message here on TradingView! DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. ======================================== DEUTSCH (DE) ======================================== Datengetriebene Signalgenerierung fuer BTC/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles. UEBERBLICK Dieses Script ist die BTC/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "BTCUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot. Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT) SETUP 1. Script auf BTCUSDT/BTCUSD Chart anwenden 2. Gewuenschten Timeframe waehlen (30S-20m) 3. Alert erstellen und Webhook-URL eintragen 4. Fuer jeden Timeframe einen separaten Alert erstellen Weitere Versionen verfuegbar: ETH, SOL AUTOMATISIERTER TRADING-BOT Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung. - Kompletter Bot mit Live-Trading oder Paper-Trading-Modus - Verarbeitet alle Signale dieses Indikators automatisch - Integriertes Risikomanagement mit ATR-basiertem SL/TP - Multi-Timeframe-Unterstuetzung (30S-20m) Mehr Infos: futuresbot.de Oder schreib mir eine persoenliche Nachricht hier auf TradingView! HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement.
Indicador Pine Script®
por jura1986
Bot Webhook v8.4 [ETH]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator Data-driven signal generation for ETH/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles. Datengetriebene Signalgenerierung fuer ETH/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OVERVIEW / UEBERBLICK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This script is the ETH/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "ETHUSD" is hardcoded in the alert - ideal for use with an automated trading bot. Dieses Script ist die ETH/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "ETHUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot. Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL LOGIC / SIGNAL-LOGIK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LONG Signals (v7.3 Base): - RSI < TF-specific threshold (Oversold) - Stochastic K < TF-specific threshold - RSI Slope > TF-specific threshold (Momentum reversal / Momentum-Wende) - ADX < TF-specific threshold (no excessive counter-trend / kein ueberstarker Gegentrend) - Proven performance: 68.2% $20-rate, R/R 1.48x SHORT Signals (v7.3 Base + Keltner Squeeze): - RSI > TF-specific threshold (Overbought) - Stochastic K > TF-specific threshold - RSI Slope < TF-specific threshold (Momentum reversal / Momentum-Wende) - Squeeze SHORT: Bollinger inside Keltner + bearish momentum - Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ INDICATORS / INDIKATOREN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - EMA 20/50/200 (Trend detection + filter / Trend-Erkennung + Filter) - RSI 14 + RSI Slope (Momentum + direction change / Richtungswechsel) - Stochastic RSI (Overbought/Oversold conditions) - MACD 12/26/9 (Momentum confirmation / Momentum-Bestaetigung) - Bollinger Bands 20/2.0 (Volatility + Squeeze Detection) - Keltner Channel 20/1.5 (Squeeze Detection) - ADX 14 (Trend strength / Trendstaerke) - ATR 14 (Stop Loss / Take Profit calculation) - Volume SMA 20 (Volume confirmation / Volumen-Bestaetigung) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REGIME DETECTION / REGIME-ERKENNUNG ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Trend Regime (EMA-based): - STRONG_TREND_UP / STRONG_TREND_DOWN - WEAK_TREND_UP (BLOCKED - 0% success rate! / BLOCKIERT - 0% Erfolgsrate!) - WEAK_TREND_DOWN / NEUTRAL Volatility Regime (ADX + ATR Percentile): - TRENDING_HIGH_VOL / TRENDING_LOW_VOL - SQUEEZE_BUILDING / BREAKOUT_IMMINENT - RANGING_HIGH_VOL / RANGING_LOW_VOL - TRANSITIONAL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CONFIDENCE CALCULATION / CONFIDENCE-BERECHNUNG ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Base confidence from verified win rates per timeframe (0.72-0.92) Modifiers / Modifikatoren: + Extreme RSI/StochK values (+0.03 to +0.05) + Trending High Vol Regime (+0.04) - Ranging High Vol Regime (-0.08) - Squeeze Building (-0.03) - Counter-trend / Gegentrend (-0.10) - Low Volume (-0.05) Min. confidence for alert: 70% (adjustable / einstellbar) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ STOP LOSS / TAKE PROFIT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67 Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TIMEFRAMES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Supported / Unterstuetzt: 30S, 45S, 1m-20m (each with individually optimized thresholds / alle mit eigenen optimierten Schwellenwerten) Best TFs / Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+) 4m: LONG + SHORT disabled (no data / deaktiviert, keine Daten) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WEBHOOK ALERT FORMAT (JSON) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ {"signal":"long/short", "symbol":"ETHUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}} ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETUP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Apply script to ETHUSDT/ETHUSD chart / Script auf ETHUSDT/ETHUSD Chart anwenden 2. Select desired timeframe (30S-20m) / Gewuenschten Timeframe waehlen 3. Create alert and enter webhook URL / Alert erstellen und Webhook-URL eintragen 4. Create a separate alert for each timeframe / Fuer jeden Timeframe einen separaten Alert erstellen Other versions available / Weitere Versionen verfuegbar: BTC, SOL DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management. / Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AUTOMATED TRADING BOT / AUTOMATISIERTER TRADING-BOT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades on Kraken Futures - including risk management, position sizing, regime filtering and smart signal validation. - Full bot with live trading or paper trading mode - Processes all signals from this indicator automatically - Built-in risk management with ATR-based SL/TP - Multi-timeframe support (30S-20m) More info: futuresbot.de Or send me a direct message here on TradingView! Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades auf Kraken Futures ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung. - Kompletter Bot mit Live-Trading oder Paper-Trading-Modus - Verarbeitet alle Signale dieses Indikators automatisch - Integriertes Risikomanagement mit ATR-basiertem SL/TP - Multi-Timeframe-Unterstuetzung (30S-20m) Mehr Infos: futuresbot.de Oder schreib mir eine persoenliche Nachricht hier auf TradingView!
Indicador Pine Script®
por jura1986
Multi-Timeframe EMA SMA HMA LR Proximity & Alerts [HYPR-run]DESCRIPTION: Nine moving averages from Weekly down to chart timeframe on one chart. Weekly 10 SMA, Daily 50/100/200 EMA/SMA, 4hr 200 SMA, plus chart-TF 10 EMA, 200 SMA, Hull MA, and Linear Regression. See where price sits relative to every meaningful institutional level without switching timeframes. The proximity filter is the key feature. Enable all nine MAs, set a threshold, and only lines near current price appear. The Daily 200 SMA at 20% away? Hidden. When price drops toward it, the line shows up automatically. Your chart stays clean and the levels that matter are always visible. FEATURES - 9 moving averages from Weekly down to chart timeframe - Proximity filter: hides irrelevant MAs far from price - Bounce/reject detection at each MA level - Webhook alerts on selected MA cross (long/short) - Status table: row 1 positioning context (above/below each MA), row 2 live events (bouncing, rejecting, XO, XU) - Polyline rendering (smooth lines, no staircase artifacts) - End-of-line labels with % distance from price - Toggle each MA independently HOW IT WORKS Higher timeframe MAs are pulled via request.security and rendered as polylines for smooth display on any chart timeframe. The proximity check runs on every bar: if the distance between price and a given MA exceeds the threshold %, the polyline is not drawn. When price approaches, the line appears. Alerts fire independently of display toggles. STATUS TABLE Two-row dynamic dashboard that updates every bar. - Row 1 (positioning): which MAs price is above or below, grouped with "&" separators. The Weekly 10 SMA is separated as the anchor ("the mother"); its direction drives the color indicator (green = above weekly fair value, red = below) - Row 2 (events): up to 3 simultaneous events, most significant MA first (w10 → d200 → d100 → d50 → 4h200). Bouncing (support holding), rejecting (resistance holding), XO (crossover), XU (crossunder). Color intensity uses a 2D significance matrix: MA weight x event type. Brightgreen for a w10 bounce; yellow for a d200 cross; darkgreen for idle above d50. Dark gray when idle - Runs independently of display toggles; events fire for all MAs even if the line is hidden by the proximity filter DEFAULT CONFIGURATION Weekly 10 SMA (white), Daily 50 EMA (yellow), and Daily 200 SMA (purple) are on by default. Proximity filter on at 5%. These three levels are the most commonly watched institutional reference points. ALERTS Price crossing above the selected MA fires a long signal; crossing below fires a short signal. Full bar filter requires the bar body to be at least 66.6% of total range, rejecting doji and wick-heavy crosses. Alert payload is built into the script as JSON; works with any webhook receiver.
Indicador Pine Script®
por HYPR-run
Adaptive SuperTrend Oscillator [QuantAlgo]🟢 Overview The Adaptive SuperTrend Oscillator transforms the classic SuperTrend indicator into a normalized momentum score that adapts to changing market conditions. Instead of displaying a simple above/below signal on the price chart, it measures how far price has moved from the SuperTrend line and scales that distance against an Efficiency Ratio-driven ATR that automatically adjusts between trending and ranging environments. The result is a centered oscillator with dynamically calculated overbought and oversold thresholds, helping traders read the strength behind a trend rather than just its direction, across different markets and timeframes. 🟢 How It Works The foundation of the indicator is the distance between the closing price and the SuperTrend line: = ta.supertrend(active_multiplier, active_atr_length) price_distance = close - supertrend_line A positive distance means price is above the SuperTrend line, indicating a bullish condition. A negative distance indicates price is below it, reflecting a bearish condition. The raw distance alone is not directly comparable across instruments or timeframes, so the indicator normalizes it using an adaptive ATR. The normalization layer is driven by an Efficiency Ratio, which measures how directionally efficient recent price movement has been. It compares the net price change over the lookback window against the total path length traveled: price_change = math.abs(close - close ) path_length = math.sum(math.abs(close - close ), active_er_length) efficiency_ratio = path_length != 0 ? price_change / path_length : 0.0 A high Efficiency Ratio means price is moving in a consistent direction with little back-and-forth. A low ratio indicates choppy, non-directional movement. This reading is then used to blend between a fast and slow ATR period: adaptive_atr = efficiency_ratio * ta.atr(active_norm_fast) + (1.0 - efficiency_ratio) * ta.atr(active_norm_slow) score = adaptive_atr != 0 ? price_distance / adaptive_atr * 100 : 0.0 During trending conditions the fast ATR period is weighted more heavily, allowing the score to move more freely. During choppy conditions the slow ATR period dominates, dampening the score and reducing low-conviction readings. The final score is expressed as a percentage of the adaptive ATR, making it directly comparable across different instruments and volatility environments. Overbought and oversold levels are derived dynamically from the rolling standard deviation of the score itself rather than fixed values: score_deviation = ta.stdev(score, 100) ob_extreme = score_deviation * 3 ob_level = score_deviation * 2 os_level = -score_deviation * 2 os_extreme = -score_deviation * 3 This means the threshold levels expand during volatile periods and contract during quiet ones, keeping the overbought and oversold zones statistically consistent relative to recent score behavior. 🟢 Signal Interpretation ▶ Bullish Trend (Score Above Zero, Outside Neutral Zone, Green): When the score is positive and exceeds the neutral threshold, the oscillator confirms that price is above the SuperTrend line and momentum is directionally efficient enough to register. The score's gradient intensity reflects how far momentum has extended relative to the adaptive ATR baseline. The trend remains bullish until the score crosses back below zero or into the neutral zone. ▶ Bearish Trend (Score Below Zero, Outside Neutral Zone, Red): When the score is negative and falls below the neutral threshold, the oscillator confirms that price is below the SuperTrend line. A deeper negative score indicates stronger downside momentum relative to the normalization baseline. The trend remains bearish until the score crosses back above zero or into the neutral zone. ▶ Neutral Zone (Score Within Threshold, Grey): When the absolute score value is within the neutral threshold, the oscillator treats the reading as non-directional regardless of which side of zero it sits on. This filters out low-conviction conditions where the SuperTrend distance is small relative to the adaptive ATR, preventing the indicator from registering trend signals during consolidation or choppy price action. ▶ Overbought and Oversold Levels (2σ and 3σ Bands): When the score reaches the 2σ or 3σ bands, it indicates that momentum has extended significantly relative to its own recent history. These are not reversal signals by themselves, but they mark zones where the trend is stretched and worth monitoring for potential exhaustion. 🟢 Features ▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" uses moderate SuperTrend sensitivity for swing trading on 4-hour and daily charts. "Fast Response" tightens the SuperTrend bands and shortens normalization windows for intraday use on 5-minute to 1-hour charts. "Smooth Trend" widens the SuperTrend bands and extends normalization windows for position trading on daily and weekly timeframes. ▶ Built-in Alerts: Seven alert conditions cover the full range of oscillator states. Trend transition alerts fire when the score crosses into bullish, bearish, or neutral territory. Separate alerts trigger when the score reaches the 2σ overbought or oversold levels and again when it reaches the more extreme 3σ levels, enabling graduated monitoring without requiring constant chart observation. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) coordinate colors across the score line, ribbon fills, overbought/oversold bands, and optional bar coloring. The ribbon uses three fill layers between the score line and zero, each at increasing transparency, creating a gradient that visually represents the weight of momentum behind the current reading. Optional bar coloring applies trend state colors directly to price bars for quick multi-timeframe reference.
Indicador Pine Script®
por QuantAlgo
ATR Trailing Stops for Hyperliquid Spot + Perps [HYPR-run]Four ATR trailing stop architectures in one indicator. Fires a webhook to close your position when price crosses the stop level. Works on any asset, any timeframe, spot and perps. Two independent stops: one for longs, one for shorts. Toggle each on or off. Hyperliquid does not support native trailing stop orders on spot positions. This solves that. ATR MODES A3.1: LinReg + plain ATR, no ratchet. The baseline. Linear regression projects where price is heading, plain ATR sets the distance. Stop moves freely in both directions. Use as a reference or when you want a raw trailing stop. A4.0: LinReg + VWATR + Efficiency Ratio + ratchet (default). The all-rounder. Volume-weighted ATR discounts low-liquidity candles. The Efficiency Ratio (Kaufman) measures trend quality: in a clean trend it widens the stop to let price run; in chop it tightens. Ratchet floor means the stop only moves in your favor. A4.1: Chandelier + VWATR + ratchet + first-bar multiplier. Anchored to the highest high (longs) or lowest low (shorts). First-bar multiplier sets a tighter initial stop, then the standard multiplier takes over as the ratchet locks in gains. Use when entering off key levels. A4.2: LinReg + VWATR, no ratchet. Same as A4.0 but without ratchet floor or Efficiency Ratio. Stop moves freely with the projection, giving the trade room through consolidation at the cost of less locked profit. FEATURES - Four ATR architectures selectable via dropdown - Volume-weighted ATR: low-liquidity candles contribute less - Efficiency Ratio: tightens in chop, widens in trend (A4.0) - Ratchet floor: stop only moves in your favor (A4.0, A4.1) - First-bar multiplier for tighter initial protection (A4.1) - Separate ATR lookbacks for longs and shorts - Separate multipliers for longs and shorts - Two-bar confirmation prevents single-wick fakeouts - Independent long/short alert toggles - No JSON snippet needed; close payload is built into the script HOW IT WORKS Volume-weighted ATR scales each bar's true range by its volume relative to the lookback average. High-volume bars contribute more; thin candles contribute less. This prevents low-liquidity spikes from inflating stop distance. Separate lookbacks for longs (default 14) and shorts (default 26) reflect that crypto drops faster than it climbs. The Efficiency Ratio measures directional movement versus noise on a 0-1 scale. It scales the ATR multiplier between 0.8x (choppy) and 1.2x (trending), adapting stop width to market regime. Only active in A4.0. Two-bar confirmation requires a confirmed close beyond the stop level. A single wick does not trigger the exit. The cross must hold for at least one additional bar close. ALERTS Close Long fires as SPOT (sell spot position). Close Short fires as PERPS (close short; spot is long-only). Toggle each independently. Alert payload is built into the script as JSON; works with any webhook receiver that accepts market/ticker/position fields. Run multiple alerts across different assets and timeframes simultaneously. CREDITS ATR: J. Welles Wilder (1978) Efficiency Ratio: Perry Kaufman
Indicador Pine Script®
por HYPR-run