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Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure. ​Key Components: ​Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading. ​Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action. ​Smart Confluence Zones (Originality): ​The script calculates a background "State" based on multiple factors. ​Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA. ​Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA. ​This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned. ​█ How to Use ​Entry: Wait for a "Triangle" signal (Buy/Sell). ​Validation: Check the Background Color. Is it highlighting a Confluence Zone? ​Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup. ​Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution. ​Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
Pine Script® göstergesi
THF84 tarafından
NEXFEL – Quantum Adaptive MACD System v2.0# NEXFEL – Quantum Adaptive MACD System v2.0 ## 📌 Overview The **NEXFEL – Quantum Adaptive MACD System v2.0** is an advanced, fully integrated decision-support tool built upon an enhanced adaptive MACD engine. Unlike traditional MACD implementations that rely on fixed parameters, this system uses **R² correlation** to dynamically adjust sensitivity based on current market behavior. This indicator **does not simply merge tools**; it unifies: - Adaptive MACD calculation - Multi-timeframe sentiment (1H + 4H) - Market regime detection - Volume confirmation - Confidence scoring (0–100%) - ATR stop-loss visualization - Session filtering - Daily trade limit control into a **single coherent trading framework**. This publication replaces my previous “Adaptive MACD Flow PRO”, as this version is a complete rewrite with new logic, improved structure, and expanded analytical capabilities. --- ## ⚙️ How It Works ### **1. Adaptive MACD Core (R²-Based)** The MACD sensitivity is adjusted using R² correlation: - High R² → smoother & more stable response - Low R² → more reactive & faster response This adaptation allows the oscillator to naturally adjust to different volatility environments. --- ### **2. Multi-Timeframe Sentiment** The system analyzes: - **1H EMAs (10/30)** - **4H EMAs (20/50)** A directional sentiment score is generated, allowing signals only when the local timeframe aligns with the higher timeframe structure. --- ### **3. Market Regime Detection** The indicator identifies whether the market is: - **TRENDING** - **RANGING** - **NEUTRAL** Signals are validated or filtered depending on the active regime. --- ### **4. Confidence Scoring System (0–100%)** The signal quality is measured by weighting: - Momentum - Volume confirmation - Market regime compatibility - Multi-timeframe alignment - Local trend direction - Short-term momentum Only **high-confidence** conditions produce the safest BUY/SELL signals. --- ### **5. ATR Stop-Loss Visualization** Dynamic stop levels are displayed using: - ATR × multiplier A visual reference for risk management without executing trades. --- ### **6. Daily Trade Limit Control** To prevent overtrading, the system tracks daily signals and restricts new ones once a limit is reached. --- ### **7. Multi-Language Interface** The panel can display: - **English** - **Portuguese** depending on user selection. (TradingView requires English as the primary language, which is why it appears first in this description.) --- ## 👤 Who This Script Is For - Traders seeking a more reliable and adaptive MACD - Scalpers who prefer high-confirmation entries - Swing traders analyzing market regimes - Users needing a clean, objective analytical panel --- ## ⚠️ Important This indicator does **not** execute trades and does not guarantee results. It is a **decision-support system**, not a trading bot. # 📝 Author’s Notes This version is a complete redesign of my previous indicator. All components were rebuilt, expanded, and optimized to offer a more structured and reliable trading system.
Pine Script® göstergesi
FellGMS tarafından
Bassi MACD Pro + ADX Filter + Smart Histogram TP + RSIA professional-grade MACD indicator that dramatically reduces false signals by combining four powerful filters: Key Features Classic MACD (12,26,9) with clean, high-visibility histogram coloring ADX + DI filter – only takes trades when ADX > user-defined threshold (default 25) ensuring you trade only in strong trending markets Smart Histogram Take-Profit logic – automatically detects the exact moment bullish/bearish momentum starts to weaken after a strong move and marks a precise TP level (one TP per trade – no repainting, no multiple signals) Zero-line crossover confirmation + histogram direction filter – eliminates many whipsaw signals common in regular MACD Separate RSI pane with overbought/oversold levels and visual markers (for additional confluence – does not interfere with main logic) Visual Signals Green “MACD BUY” label + lime triangle = confirmed long entry in strong trend Red “MACD SELL” label + red triangle = confirmed short entry in strong trend Small lime/red “TP” triangles = Smart Histogram Take-Profit triggered (perfect exit timing based on momentum fade) Alert Conditions Included MACD BUY MACD SELL TP Long Hit TP Short Hit Combined “Any Signal” alert Why this version outperforms standard MACD Most MACD crossovers fail in ranging markets. This script solves that by: Requiring strong trend (ADX filter) Confirming histogram is actually growing in the new direction Waiting for the true zero-line cross with momentum Giving you an intelligent, non-fixed % take-profit based on real histogram exhaustion Excellent for swing trading, day trading, crypto, forex, and stocks on any timeframe (works especially well on 1H–4H–Daily). Clean, fast, no repainting, fully alert-ready. Add to chart → set your alerts → trade only the highest-probability MACD signals.
Pine Script® göstergesi
Mahdibas tarafından
2
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points. 🎯 What Makes This Indicator Unique? Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones). 📊 Core Features 1. Dynamic Volume Heatmap - Visualizes volume concentration across 250 customizable price levels - Gradient color scheme from high volume (white) to low volume (teal/green) - Adjustable brightness multiplier for enhanced contrast and clarity - Real-time updates as market conditions evolve 2. Point of Control (POC) - Automatically identifies the price level with the highest traded volume - Acts as a magnetic price level where markets often return - Critical for identifying fair value areas and potential reversal zones - Customizable line style, width, and color 3. Flexible Lookback Settings - Lookback Bars: Set any value from 1-5000 bars to control analysis depth - Visible Range Mode: Analyze only what's currently visible on your chart - Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts - Adapts to your trading style - scalping to position trading 4. Session Separation Analysis - Tokyo Session: 00:00-09:00 UTC - London Session: 07:00-16:00 UTC - New York Session: 13:00-22:00 UTC - Sydney Session: 21:00-06:00 UTC - Daily Reset: Analyze each trading day independently Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels. 5. Profile Width Options - Dynamic: Profile width adjusts based on lookback period - Fixed Bars: Set a specific bar count for consistent profile width - Extend Forward: Project the profile into future bars for planning trades 6. Smart Alerts - POC crossover/crossunder alerts - New session start notifications - Never miss critical price action at high-volume nodes 📈 How to Use This Indicator Professionally Understanding Market Structure: High Volume Nodes (HVN): - Appear as bright/white areas in the heatmap - Represent price levels where significant trading occurred - Act as strong support/resistance zones - Markets often consolidate or bounce from these levels - Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators Low Volume Nodes (LVN): - Appear as darker/teal areas in the heatmap - Represent price levels with minimal trading activity - Price tends to move quickly through these areas - Often form "gaps" in the volume profile - Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here Point of Control (POC): - The single most important price level in your analysis window - Represents the fairest price where maximum volume traded - Price gravitates toward POC like a magnet - Trading Strategy: * When price is above POC: bullish bias, POC acts as support * When price is below POC: bearish bias, POC acts as resistance * POC breaks often lead to significant trend changes Session-Based Analysis: Use session separation to understand how different market participants trade: Asian Session (Tokyo/Sydney): - Typically lower volatility and range-bound - Volume profiles often show tight, balanced distribution - Use for identifying overnight ranges and gap fill zones London Session: - Highest volume session for forex pairs - Often shows strong directional bias - Look for breakouts from Asian ranges during London open New York Session: - Maximum participation when overlapping with London - Institutional order flow most visible - POC during NY session often becomes key level for following sessions 🎯 Practical Trading Applications 1. Identifying Support & Resistance: High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached. 2. Trend Confirmation: - Healthy uptrend: POC rising over time, HVN forming at higher levels - Healthy downtrend: POC falling over time, HVN forming at lower levels - Consolidation: POC relatively flat, volume balanced across range 3. Breakout Trading: When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets. 4. Reversal Zones: Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable. 5. Risk Management: - Place stops beyond HVN areas (not within LVN zones) - Size positions based on distance to nearest HVN - Use POC as trailing stop level in trending markets ⚙️ Recommended Settings For Day Trading (Scalping/Intraday): - Lookback: 200-500 bars - Rows: 200-250 - Enable session separation for your primary trading session - Profile Width: Dynamic or Fixed Bars (30-50) For Swing Trading: - Lookback: 500-1000 bars - Rows: 250 - Session separation: Daily Reset - Profile Width: Dynamic For Position Trading: - Lookback: 1000-3000 bars - Rows: 250 - Use timeframe-specific settings - Profile Width: Extend Forward (20-50 bars) 💡 Pro Tips 1. Combine this indicator with price action analysis - volume confirms what price is telling you 2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages) 3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion 4. Session POC from previous sessions often acts as magnet for current session 5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts 6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions 🎨 Customization Fully customizable visual appearance: - Gradient colors for volume visualization - POC line thickness, color, and style - Session line colors and visibility - All settings organized in intuitive groups ⚠️ Disclaimer This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results. --- Support & Updates Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below. Happy Trading! 📊💹
Pine Script® göstergesi
humayunmha tarafından
Echo Chamber [theUltimator5]The Echo Chamber - When history repeats, maybe you should listen. Ever had that eerie feeling you've seen this exact price action before? The Echo Chamber doesn't just give you déjà vu—it mathematically proves it, scales it, and projects what happened next. 📖 WHAT IT DOES The Echo Chamber is an advanced pattern recognition tool that scans your chart's history to find segments that closely match your current price action. But here's where it gets interesting: it doesn't just find similar patterns - It expands and contracts the time window to create a uniquely scaled fractal. Patterns don't always follow the same timeframe, but they do follow similar patterns. Using a custom correlation analysis algorithm combined with flexible time-scaling, this indicator: Finds historical price segments that mirror your current market structure Scales and overlays them perfectly onto your current chart Projects forward what happened AFTER that historical match Gives you a visual "echo" from the past with a glimpse into potential futures ══════════════════════════════ HOW TO USE IT This indicator starts off in manual mode, which means that YOU, the user, can select the point in time that you want to project from. Simply click on a point in time to set the starting value. Once you select your point in time, the indicator will automatically plot the chosen historical chart pattern and correlation over the current chart and project the price forwards based on how the chart looked in the past. If you want to change the point in time, you can update it from the settings, or drag the point on the chart over to a new position. You can manually select any point in time, and the chart will quickly update with the new pattern. A correlation will be shown in a table alongside the date/timestamp of the selected point in time. You can switch to auto mode, which will automatically search out the best-fit pattern over a defined lookback range and plot the past/future projection for you without having to manually select a point in time at all. It simply finds the best fit for you. You can change the scale factor by adjusting multiplication and division variables to find time-scaled fractal patterns. ══════════════════════════════ 🎯 KEY FEATURES Two Operating Modes: 🔧 MANUAL MODE - Select any historical point and see how it correlates with current price action in real-time. Perfect for: • Analyzing specific past events (crashes, rallies, consolidations) • Testing historical patterns against current conditions • Educational analysis of market structure repetition 🤖 AUTO MODE - It automatically scans through your lookback period to find the single best-correlated historical match. Ideal for: • Quick pattern discovery • Systematic trading approach • Unbiased pattern recognition Time Warp Technology: The time warp feature expands and compresses the correlation window to provide a custom fractal so you can analyze windows of time that don't necessarily match the current chart. 💡 *Example: Multiplier=3, Divisor=2 gives you a 1.5x time stretch—perfect for finding patterns that played out 50% slower than current price action.* Drawing Modes: Scale Only : Pure vertical scaling—matches price range while maintaining temporal alignment at bar 0 Rotate & Scale : Advanced geometric transformation that anchors both the start AND end points, creating a rotated fit that matches your current segment's slope and range Visual Components: 🟠 Orange Overlay : The historical match, perfectly scaled to your current price action 🟣 Purple Projection : What happened NEXT after that historical pattern (dotted line into the future) 📦 Highlight Boxes : Shows you exactly where in history these patterns came from 📊 Live Correlation Table : Real-time correlation coefficient with color-coded strength indicator ══════════════════════════════ ⚙️ PARAMETERS EXPLAINED Correlation Window Length (20) : How many bars to match. Smaller = more precise matches but noisier. Larger = broader patterns but fewer matches. Note: if this value is too high in auto mode, the script may time out from computational overload. Multiplication Factor : Historical time multiplier. 2 = sample every 2nd bar from history. Higher values find slower historical patterns. Division Factor : Historical time divisor applied after multiplication. Final sample rate = (Length × Factor) ÷ Divisor, rounded down. Lookback Range : How far back to search for patterns. More history = better chance of finding matches but slower performance. Note: if this value is too high in auto mode, the script may time out from computational overload. Future Projection Length : How many bars forward to project from the historical match. Your crystal ball's focal length. ══════════════════════════════ 💼 TRADING APPLICATIONS Trend Continuation/Reversal : If the purple projection continues the current trend, that's your historical confirmation. If it reverses, you've found a potential turning point that's happened before under similar conditions. Support/Resistance Validation : Does the projection respect your S/R levels? History suggests those levels matter. Does it break through? You've found historical precedent for a breakout. Time-Based Exits : The projection shows not just WHERE price might go, but WHEN. Use it to anticipate timing of moves. Multi-Timeframe Analysis : Use time compression to overlay higher timeframe patterns onto lower timeframes. See daily patterns on hourly charts, weekly on daily, etc. Pattern Education : In Manual Mode, study how specific historical events correlate with current conditions. Build your pattern recognition library. ══════════════════════════════ 📊 CORRELATION TABLE The table shows your correlation coefficient as a percentage: 80-100%: Extremely strong correlation—history is practically repeating 60-80%: Strong correlation—significant similarity 40-60%: Moderate correlation—some structural similarity 20-40%: Weak correlation—limited similarity 0-20%: Very weak correlation—essentially random match -20-40%: Weak inverse correlation -40-60%: Moderate inverse correlation -60-80%: Strong inverse correlation -80-100%: Extremely strong inverse correlation—history is practically inverting **Important**: The correlation measures SHAPE similarity, not price level. An 85% correlation means the price movements follow a very similar pattern, regardless of whether prices are higher or lower. ══════════════════════════════ ⚠️ IMPORTANT DISCLAIMERS - Past performance does NOT guarantee future results (but it sure is interesting to study) - High correlation doesn't mean causation—markets are complex adaptive systems - Use this as ONE tool in your analytical toolkit, not a standalone trading system - The projection is what HAPPENED after a similar pattern in the past, not a prediction - Always use proper risk management regardless of what the Echo Chamber suggests ══════════════════════════════ 🎓 PRO TIPS 1. Start with Auto Mode to find high-correlation matches, then switch to Manual Mode to study why that period was similar 2. Experiment with time warping on different timeframes—a 2x factor on a daily chart lets you see weekly patterns 3. Watch for correlation decay —if correlation drops sharply after the match, current conditions are diverging from history 4. Combine with volume —check if volume patterns also match 5. Use "Rotate & Scale" mode when the current trend angle differs from the historical match 6. Increase lookback range to 500-1000+ on daily/weekly charts for finding rare historical parallels ══════════════════════════════ 🔧 TECHNICAL NOTES - Uses Pearson correlation coefficient for pattern matching - Implements range-based scaling to normalize different price levels - Rotation mode uses linear interpolation for geometric transformation - All calculations are performed on close prices - Boxes highlight actual historical bar ranges (high/low) - Maximum of 500 lines and 500 boxes for performance optimization
Pine Script® göstergesi
TheUltimator5 tarafından
6
Market Internals Dashboard: Trend, Breadth, Volume PressureOverview The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions. Instead of relying solely on price, this indicator analyzes three critical internal forces: USI:TICK : Microstructure buying/selling pressure USI:ADD : Market breadth participation (advancers vs decliners proxy) USI:VOLD : Volume pressure (buying vs selling volume) These internals determine whether the market is: Trending or ranging Bullish or bearish Likely to follow through or mean-revert Favoring continuation trades or fade setups The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?” 1. TICK Proxy: Microstructure Pressure Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar. Positive TICK → Buyers lifting offers Negative TICK → Sellers hitting bids Neutral TICK → No microstructure conviction Why it matters: Strong TICK is often the earliest sign of: Trend initiation Algorithmic buy/sell programs Shifts in short‑term sentiment Weak or choppy TICK often signals: Range conditions Failed breakouts Low‑quality trend attempts 2. ADD Proxy: Market Breadth Strength Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from: Price slope Volatility expansion Volume‑weighted directional pressure Why it matters? Breadth reveals whether the move is: Broad and healthy → likely to continue Narrow and weak → vulnerable to reversal Strong trends require strong breadth. Weak breadth often precedes: Failed breakouts Reversal setups Chop (ewww) 3. VOLD Proxy: Volume Pressure The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars. Positive VOLD → Net buying pressure Negative VOLD → Net selling pressure Why it matters: VOLD is considered the "truth serum" of the tape: Strong VOLD drives trend days Negative VOLD kills long setups Mixed VOLD creates chop You should rarely trend trade against VOLD. 4. Market Environment Score (–3 to +3) The Environment Score combines the three internals into a single view: || Score || Interpretation || Market Type || | +3 | Strong Bull | Trend Day (Long) | | +2 | Bull | Pullback Buys / Breakout Continuation | | +1 | Mild Bull | Conservative Long Scalps | | 0 | Neutral | CHOP – VWAP Reversions / Fades | | -1 | Mild Bear | Short Failed Breakouts | | -2 | Bear | Trend Shorts / Breakdown Continuation | | -3 | Strong Bear | Trend Day (Short) | Why it matters: The market behaves differently depending on internal alignment. This score prevents traders from: Forcing trend trades on chop days Chasing breakouts when breadth is weak Fading strong directional days It tells you in real time whether conditions favor: Trend following Mean reversion Breakout continuation Liquidity grabs Or sitting out 5. Trade Recommendation Engine Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now. Examples: Score = 0 (Neutral) VWAP Reversions Liquidity Grabs Failed Breakouts Quick Scalps Score = +2/+3 (Strong Bull) Pullback Buys Breakout Continuation Trend Longs Score = -2/-3 (Strong Bear) Pullback Shorts Breakdown Continuation Trend Shorts Only This turns the internals into a trade selection engine, not just a data display. Why Market Internals Matter Most indicators look only at price, but price is the result, not the cause. Market internals show: Where volume is flowing Whether buying is aggressive or passive How many stocks are participating Whether algorithms are supporting or fighting the move This dashboard helps traders: Avoid chop Stay out of low‑quality setups Time entries with institutional flows Improve win rate by trading the right setups at the right times Final Notes Works on any symbol or timeframe Fully customizable colors Two clean visual tables: Internals + Trade Playbook Ideal for futures, ETFs, and options day traders If you enjoy this tool, please like, comment, or follow. More enhancements are coming. Trade smart.
Pine Script® göstergesi
HighTightFlags tarafından
AliceTears GridAliceTears Grid is a customizable Mean Reversion system designed to capitalize on market volatility during specific trading sessions. Unlike standard grid bots that place blind limit orders, this strategy establishes a daily or session-based "Baseline" and looks for price over-extensions to fade the move back to the mean. This strategy is best suited for ranging markets (sideways accumulation) or specific forex sessions (e.g., Asian Session or NY/London overlap) where price tends to revert to the opening price. 🛠 How It Works 1. The Baseline & Grid Generation At the start of every session (or the daily open), the script records the Open price. It then projects visual grid lines above and below this price based on your Step % input. Example: If the Open is $100 and Step is 1%, lines are drawn at $101, $102, $99, $98, etc. 2. Entry Logic: Reversal Mode This script features a "Reversal Mode" (enabled by default) to filter out "falling knives." Standard Grid: Buys immediately when price touches the line. AliceTears Logic: Waits for the price to breach a grid level and then close back inside towards the mean. This confirms a potential rejection of that level before entering. 3. Exit Logic Target Profit: The primary target is the previous grid level (Mean Reversion). Trailing Stop: If the price continues moving in your favor, a trailing stop activates to maximize the run. Stop Loss: A manual percentage-based stop loss is available to prevent deep drawdowns in trending markets. ⚙️ Key Features Visual Grid: Automatically draws entry levels on the chart for the current session, helping you visualize where the "math" is waiting for price. Timezone & Session Control: Includes a custom Timezone Offset tool. You can trade specific hours (e.g., 09:30–16:00) regardless of your chart's UTC setting. Grid Management: Independent logic for Long and Short grids with pyramiding capabilities. Safety Filters: Options to force-close trades at the end of the session to avoid overnight gaps. ⚠️ Risk Warning Please Read Before Using: This is a Counter-Trend / Grid Strategy. Pros: High win rate in sideways/ranging markets. Cons: In strong trending markets (parabolic pumps or crashes), this strategy will add to losing positions ("catch a falling knife"). Recommendation: Always use the Stop Loss and Date Filter inputs. Do not run this on highly volatile assets without strict risk management parameters. Settings Guide Entry Reversal Mode: Keep checked for safer entries. Uncheck for aggressive limit-order style execution. Grid Step (%): The distance between lines. For Forex, use lower values (0.1% - 0.5%). For Crypto, use higher values (1.0% - 3.0%). UTC Offset: Adjust this to align the Session Hours with your target market (e.g., -5 for New York). This script is open source. Feel free to use it for educational purposes or modify it to fit your trading style.
Pine Script® stratejisi
AliceTears tarafından
1
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
Pine Script® göstergesi
Semtex76 tarafından
Viprasol Elite Advanced Pattern Scanner# 🚀 Viprasol Elite Advanced Pattern Scanner ## Overview The **Viprasol Elite Advanced Pattern Scanner** is a sophisticated technical analysis tool designed to identify high-probability double bottom (DISCOUNT) and double top (PREMIUM) patterns with unprecedented accuracy. Unlike basic pattern detectors, this elite scanner employs an AI-powered quality scoring system to filter out false signals and highlight only the most reliable trading opportunities. ## 🎯 Key Features ### Advanced Pattern Detection - **DISCOUNT Patterns** (Double Bottoms): Identifies bullish reversal zones where price may bounce - **PREMIUM Patterns** (Double Tops): Detects bearish reversal zones where price may decline - Multi-point validation system (5-point structure) - Symmetry analysis with customizable tolerance ### 🤖 AI Quality Scoring System Each pattern receives a quality score (0-100) based on: - **Symmetry Analysis** (32% weight): How closely the two bottoms/tops match - **Trend Context** (22% weight): Strength of the preceding trend using ADX - **Volume Profile** (22% weight): Volume confirmation at key points - **Pattern Depth** (16% weight): Significance of the pattern's price range - **Structure Quality** (16% weight): Overall pattern formation quality Quality Grades: - ⭐ **ELITE** (88-100): Highest probability setups - ✨ **VERY STRONG** (77-87): Strong trade opportunities - ✓ **STRONG** (67-76): Valid patterns with good potential - ○ **VALID** (65-66): Acceptable patterns meeting minimum criteria ### 🎯 Intelligent Target System Three target modes per pattern direction: - **Conservative**: 0.618 Fibonacci extension (safer, closer targets) - **Balanced**: 1.0 extension (moderate risk/reward) - **Aggressive**: 1.618 extension (higher risk/reward) Targets automatically adjust based on pattern quality score. ### 🔧 Advanced Filtering Options - **Volatility Filter (ATR)**: Excludes patterns during extreme volatility - **Momentum Filter (ADX)**: Ensures sufficient trend strength - **Liquidity Filter (Volume)**: Confirms adequate trading volume ### 📊 Pattern Lifecycle Management - Real-time neckline tracking with extension multiplier - Pattern invalidation after extended wait period - Breakout/breakdown confirmation - Reversal detection (pattern failure scenarios) - Target achievement tracking ### 🌈 Premium Visual System - Color-coded quality levels - Cyber-themed color scheme (Neon Green/Hot Pink/Purple/Cyan) - Transparent fills for pattern zones - Dynamic labels with pattern information - Elite dashboard showing live pattern stats ## 📈 How To Use ### Basic Setup 1. Add indicator to your chart 2. Enable desired patterns (DISCOUNT and/or PREMIUM) 3. Adjust quality threshold (default: 65) - higher = fewer but better signals 4. Set your preferred target mode ### Trading DISCOUNT Patterns (Bullish) 1. Wait for pattern detection (labeled points 1-4) 2. Check quality score on dashboard 3. Entry on breakout above neckline (point 5) 4. Stop loss below the lowest bottom 5. Target shown automatically based on your mode 6. ⚠️ Watch for pattern failure (break below bottoms = SHORT signal) ### Trading PREMIUM Patterns (Bearish) 1. Wait for pattern detection (labeled points 1-4) 2. Check quality score on dashboard 3. Entry on breakdown below neckline (point 5) 4. Stop loss above the highest top 5. Target shown automatically based on your mode 6. ⚠️ Watch for pattern failure (break above tops = LONG signal) ## ⚙️ Input Settings Guide ### 🔍 Detection Engine - **Left/Right Pivots**: Higher = fewer but cleaner patterns (default: 6/4) - **Min Pattern Width**: Minimum bars between bottoms/tops (default: 12) - **Symmetry Tolerance**: Max % difference allowed between levels (default: 1.8%) - **Extension Multiplier**: How long to wait for breakout (default: 2.2x pattern width) ### ⭐ Quality AI - **Min Quality Score**: Only show patterns above this score (default: 65) - **Weight Distribution**: Customize what matters most (symmetry/trend/volume/depth/structure) ### 🔧 Filters - **Volatility Filter**: Avoid choppy markets (recommended: ON) - **Momentum Filter**: Ensure trend strength (recommended: ON) - **Liquidity Filter**: Volume confirmation (recommended: ON) ### 💎 Target System - Choose target aggression for each pattern type and direction - Higher quality patterns get adjusted targets automatically ## 🎨 Visual Customization - Adjust colors for DISCOUNT/PREMIUM patterns - Set quality-based color coding - Customize label sizes - Toggle dashboard visibility and position - Show/hide historical patterns ## 🚨 Alert System Set up TradingView alerts for: - 🚀 **LONG Signals**: DISCOUNT breakout, PREMIUM failure - 📉 **SHORT Signals**: PREMIUM breakdown, DISCOUNT failure - ✅ **Target Achievement**: When price hits your target ## 💡 Pro Tips 1. **Higher Timeframes = Better Signals**: Patterns on 4H, Daily, Weekly are more reliable 2. **Quality Over Quantity**: Focus on ELITE and VERY STRONG grades 3. **Combine with Trend**: DISCOUNT in uptrend, PREMIUM in downtrend = best results 4. **Watch Pattern Failures**: Failed patterns often provide strong counter-trend signals 5. **Adjust for Your Style**: Intraday traders use Conservative, swing traders use Aggressive ## 🔒 Pattern Invalidation Patterns become invalid if: - No breakout/breakdown within extension period - Support/resistance levels are broken prematurely - Pattern shown in faded colors = no longer active ## ⚠️ Risk Disclaimer This indicator is a tool for technical analysis and does not guarantee profitable trades. Always: - Use proper risk management - Combine with other analysis methods - Never risk more than you can afford to lose - Past performance does not indicate future results
Pine Script® göstergesi
viprasol tarafından
Historical Volatility EstimatorsHistorical volatility is a statistical measure of the dispersion of returns for a given security or market index over a given period. This indicator provides different historical volatility model estimators with percentile gradient coloring and volatility stats panel. █ OVERVIEW There are multiple ways to estimate historical volatility. Other than the traditional close-to-close estimator. This indicator provides different range-based volatility estimators that take high low open into account for volatility calculation and volatility estimators that use other statistics measurements instead of standard deviation. The gradient coloring and stats panel provides an overview of how high or low the current volatility is compared to its historical values. █ CONCEPTS We have mentioned the concepts of historical volatility in our previous indicators, Historical Volatility, Historical  Volatility  Rank, and Historical  Volatility  Percentile. You can check the definition of these scripts. The basic calculation is just the sample standard deviation of log return scaled with the square root of time. The main focus of this script is the difference between volatility models. Close-to-Close HV Estimator: Close-to-Close is the traditional historical volatility calculation. It uses sample standard deviation. Note: the TradingView build in historical volatility value is a bit off because it uses population standard deviation instead of sample deviation. N – 1 should be used here to get rid of the sampling bias. Pros:   • Close-to-Close HV estimators are the most commonly used estimators in finance. The calculation is straightforward and easy to understand. When people reference historical volatility, most of the time they are talking about the close to close estimator. Cons:   • The Close-to-close estimator only calculates volatility based on the closing price. It does not take account into intraday volatility drift such as high, low. It also does not take account into the jump when open and close prices are not the same.   • Close-to-Close weights past volatility equally during the lookback period, while there are other ways to weight the historical data.   • Close-to-Close is calculated based on standard deviation so it is vulnerable to returns that are not normally distributed and have fat tails. Mean and Median absolute   deviation makes the historical volatility more stable with extreme values. Parkinson Hv Estimator:   • Parkinson was one of the first to come up with improvements to historical volatility calculation. • Parkinson suggests using the High and Low of each bar can represent volatility better as it takes into account intraday volatility. So Parkinson HV is also known as Parkinson High Low HV. • It is about 5.2 times more efficient than Close-to-Close estimator. But it does not take account into jumps and drift. Therefore, it underestimates volatility. Note: By Dividing the Parkinson Volatility by Close-to-Close volatility you can get a similar result to Variance Ratio Test. It is called the Parkinson number. It can be used to test if the market follows a random walk. (It is mentioned in Nassim Taleb's Dynamic Hedging book but it seems like he made a mistake and wrote the ratio wrongly.) Garman-Klass Estimator:   • Garman Klass expanded on Parkinson’s Estimator. Instead of Parkinson’s estimator using high and low, Garman Klass’s method uses open, close, high, and low to find the minimum variance method.   • The estimator is about 7.4 more efficient than the traditional estimator. But like Parkinson HV, it ignores jumps and drifts. Therefore, it underestimates volatility. Rogers-Satchell Estimator:   • Rogers and Satchell found some drawbacks in Garman-Klass’s estimator. The Garman-Klass assumes price as Brownian motion with zero drift.   • The Rogers Satchell Estimator calculates based on open, close, high, and low. And it can also handle drift in the financial series.   • Rogers-Satchell HV is more efficient than Garman-Klass HV when there’s drift in the data. However, it is a little bit less efficient when drift is zero. The estimator doesn’t handle jumps, therefore it still underestimates volatility. Garman-Klass Yang-Zhang extension:   • Yang Zhang expanded Garman Klass HV so that it can handle jumps. However, unlike the Rogers-Satchell estimator, this estimator cannot handle drift. It is about 8 times more efficient than the traditional estimator.   • The Garman-Klass Yang-Zhang extension HV has the same value as Garman-Klass when there’s no gap in the data such as in cryptocurrencies. Yang-Zhang Estimator:   • The Yang Zhang Estimator combines Garman-Klass and Rogers-Satchell Estimator so that it is based on Open, close, high, and low and it can also handle non-zero drift. It also expands the calculation so that the estimator can also handle overnight jumps in the data.   • This estimator is the most powerful estimator among the range-based estimators. It has the minimum variance error among them, and it is 14 times more efficient than the close-to-close estimator. When the overnight and daily volatility are correlated, it might underestimate volatility a little.   • 1.34 is the optimal value for alpha according to their paper. The alpha constant in the calculation can be adjusted in the settings. Note: There are already some volatility estimators coded on TradingView. Some of them are right, some of them are wrong. But for Yang Zhang Estimator I have not seen a correct version on TV. EWMA Estimator: • EWMA stands for Exponentially Weighted Moving Average. The Close-to-Close and all other estimators here are all equally weighted.   • EWMA weighs more recent volatility more and older volatility less. The benefit of this is that volatility is usually autocorrelated. The autocorrelation has close to exponential decay as you can see using an Autocorrelation Function indicator on absolute or squared returns. The autocorrelation causes volatility clustering which values the recent volatility more. Therefore, exponentially weighted volatility can suit the property of volatility well.   • RiskMetrics uses 0.94 for lambda which equals 30 lookback period. In this indicator Lambda is coded to adjust with the lookback. It's also easy for EWMA to forecast one period volatility ahead.   • However, EWMA volatility is not often used because there are better options to weight volatility such as ARCH and GARCH. Adjusted Mean Absolute Deviation Estimator:   • This estimator does not use standard deviation to calculate volatility. It uses the distance log return is from its moving average as volatility.   • It’s a simple way to calculate volatility and it’s effective. The difference is the estimator does not have to square the log returns to get the volatility. The paper suggests this estimator has more predictive power.   • The mean absolute deviation here is adjusted to get rid of the bias. It scales the value so that it can be comparable to the other historical volatility estimators.   • In Nassim Taleb’s paper, he mentions people sometimes confuse MAD with standard deviation for volatility measurements. And he suggests people use mean absolute deviation instead of standard deviation when we talk about volatility. Adjusted Median Absolute Deviation Estimator:   • This is another estimator that does not use standard deviation to measure volatility.   • Using the median gives a more robust estimator when there are extreme values in the returns. It works better in fat-tailed distribution.   • The median absolute deviation is adjusted by maximum likelihood estimation so that its value is scaled to be comparable to other volatility estimators. █ FEATURES   • You can select the volatility estimator models in the Volatility Model input   • Historical Volatility is annualized. You can type in the numbers of trading days in a year in the Annual input based on the asset you are trading.   • Alpha is used to adjust the Yang Zhang volatility estimator value.   • Percentile Length is used to Adjust Percentile coloring lookbacks.   • The gradient coloring will be based on the percentile value (0- 100). The higher the percentile value, the warmer the color will be, which indicates high volatility. The lower the percentile value, the colder the color will be, which indicates low volatility.   • When percentile coloring is off, it won’t show the gradient color.   • You can also use invert color to make the high volatility a cold color and a low volatility high color. Volatility has some mean reversion properties. Therefore when volatility is very low, and color is close to aqua, you would expect it to expand soon. When volatility is very high, and close to red, you would it expect it to contract and cool down.   • When the background signal is on, it gives a signal when HVP is very low. Warning there might be a volatility expansion soon. • You can choose the plot style, such as lines, columns, areas in the plotstyle input.   • When the show information panel is on, a small panel will display on the right.   • The information panel displays the historical volatility model name, the 50th percentile of HV, and HV percentile. 50 the percentile of HV also means the median of HV. You can compare the value with the current HV value to see how much it is above or below so that you can get an idea of how high or low HV is. HV Percentile value is from 0 to 100. It tells us the percentage of periods over the entire lookback that historical volatility traded below the current level. Higher HVP, higher HV compared to its historical data. The gradient color is also based on this value. █ HOW TO USE If you haven’t used the hvp indicator, we suggest you use the HVP indicator first. This indicator is more like historical volatility with HVP coloring. So it displays HVP values in the color and panel, but it’s not range bound like the HVP and it displays HV values. The user can have a quick understanding of how high or low the current volatility is compared to its historical value based on the gradient color. They can also time the market better based on volatility mean reversion. High volatility means volatility contracts soon (Move about to End, Market will cooldown), low volatility means volatility expansion soon (Market About to Move). █ FINAL THOUGHTS HV vs ATR The above volatility estimator concepts are a display of history in the quantitative finance realm of the research of historical volatility estimations. It's a timeline of range based from the Parkinson Volatility to Yang Zhang volatility. We hope these descriptions make more people know that even though ATR is the most popular volatility indicator in technical analysis, it's not the best estimator. Almost no one in quant finance uses ATR to measure volatility (otherwise these papers will be based on how to improve ATR measurements instead of HV). As you can see, there are much more advanced volatility estimators that also take account into open, close, high, and low. HV values are based on log returns with some calculation adjustment. It can also be scaled in terms of price just like ATR. And for profit-taking ranges, ATR is not based on probabilities. Historical volatility can be used in a probability distribution function to calculated the probability of the ranges such as the Expected Move indicator. Other Estimators There are also other more advanced historical volatility estimators. There are high frequency sampled HV that uses intraday data to calculate volatility. We will publish the high frequency volatility estimator in the future. There's also ARCH and GARCH models that takes volatility clustering into account. GARCH models require maximum likelihood estimation which needs a solver to find the best weights for each component. This is currently not possible on TV due to large computational power requirements. All the other indicators claims to be GARCH are all wrong.
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Motgench tarafından
1
CIHAN SCALP PRO v3 ELITEI’m sharing a testable scalping strategy: When you see a Long or Short signal, you can open a position without waiting for the candle to close and take quick profits with a short TP. But the real game-changer is coming soon! The Professional Scalping System I’ve been working on, with 85%+ accuracy, is almost ready. This system is fully mechanical — no analysis needed, it instantly catches momentum and trend shifts. It will be available soon with a small monthly subscription fee. Stay tuned!
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cihank12378 tarafından
2
Market Cycle Master The Market Cycle Master (MCM) by © DarkPoolCrypto is a sophisticated trading system designed to bridge the gap between standard retail trend indicators and institutional-grade risk management. Unlike traditional indicators that simply provide entry signals based on a single timeframe, this system employs a "Confluence Engine" that requires multi-timeframe (MTF) alignment before generating a signal. Crucially, this script integrates a live Risk Management Calculator directly into the chart overlay. This feature allows traders to stop guessing position sizes and instead execute trades based on a fixed percentage of account equity at risk, calculating the exact lot size relative to the dynamic stop-loss level. Core Concept and Logic This system operates on three distinct layers of logic to filter out noise and identifying high-probability trend continuations: 1. The Trend Architecture (Layer 1) At its core, the script utilizes an adaptive ATR-based SuperTrend calculation. This allows the system to adjust to market volatility dynamically. When volatility expands, the trend bands widen to prevent premature stop-outs. When volatility contracts, the bands tighten to capture early reversals. 2. Institutional Context / Multi-Timeframe Filter (Layer 2) This is the primary filter of the Pro system. The script monitors a higher timeframe (default: 4-Hour) in the background. Bullish Context: If the Higher Timeframe (HTF) is in an uptrend, the script will only permit LONG signals on your current chart. Bearish Context: If the HTF is in a downtrend, the script will only permit SHORT signals. Grayscale Filters: If the current chart's trend opposes the Higher Timeframe trend (e.g., a 5-minute uptrend during a 4-hour downtrend), the candles will be painted GRAY. This indicates a low-probability "Counter-Trend" environment, and no signals will be generated. 3. Money Flow Filtering (Layer 3) To prevent buying tops or selling bottoms, the system utilizes the Money Flow Index (MFI). Long signals are filtered if volume-weighted momentum is already overbought, and Short signals are filtered if oversold. The Risk Management HUD The Heads-Up Display (HUD) is the distinguishing feature of this tool. It transforms the indicator from a visual aid into a trading terminal. Trend Direction: Displays the current verified trend. MTF Status: Shows the state of the Higher Timeframe trend. Volatility: Displays the current ATR value. Stop Loss: Displays the exact price level of the trend line. Risk Calculator: Risk ($): Shows the total dollar amount you will lose if the stop loss is hit (based on your settings). Units: Calculates exactly how much Crypto, Stock, or FX lots to purchase to match your risk parameters. Guide: How to Use Configuration Trend Architecture: Adjust the "Volatility Factor" (Default: 3.0). Higher values reduce noise but delay entries. Lower values are faster but riskier. Institutional Context: Select the "Higher Timeframe." If trading 1m to 15m charts: Set HTF to 4 Hours (240). If trading 1H to 4H charts: Set HTF to Daily (1D). Risk Calculator: Account Size: Enter your total trading capital. Risk Per Trade: Enter the percentage of your account you are willing to lose on a single trade (e.g., 1.0%). Trading Strategy The Signal: Wait for a "Sniper Long" or "Sniper Short" label. This appears only when price action, volatility, and the higher timeframe consensus all align. The Execution: Look at the HUD under "Units." Open a position for that specific amount. The Stop Loss: Place your hard Stop Loss at the price shown in the HUD ("Stop Loss" row). This corresponds to the trend line. The Exit: Close the position if the candle color turns Gray (loss of momentum/consensus) or if an opposing signal appears. Disclaimer This script and the information provided herein are for educational and entertainment purposes only. They do not constitute financial advice, investment advice, trading advice, or any other advice. Trading in financial markets involves a high degree of risk and may result in the loss of your entire capital. The "Risk Calculator" included in this script provides theoretical values based on mathematical formulas relative to the price data provided by TradingView. It does not account for slippage, spread, exchange fees, or liquidity gaps. Always verify calculations manually before executing live trades. Past performance of any trading system is not indicative of future results. The author assumes no responsibility for any losses incurred while using this script.
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DarkPoolCrypto tarafından
1
DarkPool's Squeeze Momentum @author LazyBearDarkPool's Squeeze Momentum Pro is a comprehensive overhaul of the classic volatility indicator, designed for the modern trader who requires deeper market insight. While staying true to the core logic of the original TTM Squeeze, this version introduces advanced features like automatic divergence detection, dynamic moving average selection, and main-chart integration to help you time entries and exits with precision. Credit: This script is built upon the foundational "Squeeze Momentum Indicator" originally developed by LazyBear. This version expands on that legacy with enhanced visualization, alert systems, and divergence logic. Key Features 1. Advanced Divergence Detection The indicator automatically scans for Regular Bullish and Regular Bearish divergences between price action and momentum. Bullish Divergence (Green "BULL" Label): Occurs when Price makes a Lower Low, but Momentum makes a Higher Low. This often precedes a bullish reversal. Bearish Divergence (Red "BEAR" Label): Occurs when Price makes a Higher High, but Momentum makes a Lower High. This often precedes a bearish reversal. 2. Multi-Mode Squeeze Detection The central dots on the zero line tell you the state of market volatility: Red Dot (Squeeze ON): Volatility is compressed. The Bollinger Bands are inside the Keltner Channels. The market is "coiling" and preparing for an explosive move. Do not trade yet—wait for the fire. Grey Dot (Squeeze OFF): The squeeze has "fired." Volatility is expanding, and price is moving. Blue Dot (Wide Bands): Volatility is extremely high. The bands are exceptionally wide, often indicating the end of a trend or a period of high risk. 3. "Ghost" Histogram & Visual Depth The momentum histogram features a "Ghost" fill (transparent background) to help visualize the volume of momentum without cluttering the screen. Bright Green: Strong Bullish Momentum (Rising). Dark Green: Weakening Bullish Momentum (Fading). Bright Red: Strong Bearish Momentum (Falling). Dark Red: Weakening Bearish Momentum (Recovering). 4. Dynamic Candle Coloring Enabled by default, this feature colors the candles on your main chart to match the momentum histogram. This allows you to instantly gauge the trend strength without looking down at the oscillator pane. 5. Adaptive Calculation Engines Unlike standard versions fixed to SMA, you can now select the moving average algorithm that drives the Bollinger Bands and Keltner Channels: SMA: Standard, stable signals. EMA: More reactive to recent price action. WMA/RMA: Weighted options for specific strategies. 🛠 How to Operate The "Squeeze & Fire" Strategy Identify the Squeeze: Look for a series of Red Dots on the zero line. This indicates the market is resting and building energy. The Trigger: Wait for the dot to turn Gray AND for the histogram to expand clearly in one direction. Long Signal: Squeeze fires (Red -> Gray) + Histogram turns Green. Short Signal: Squeeze fires (Red -> Gray) + Histogram turns Red. The "Divergence Reversal" Strategy Watch for "BULL" or "BEAR" labels appearing near the peaks or valleys of the histogram. Confirmation: A divergence is a warning. Wait for the histogram color to change (e.g., from Bright Red to Dark Red) before entering a reversal trade. ⚙️ Settings Guide Basis MA Type: Choose between SMA, EMA, WMA, or RMA to tune the sensitivity of the squeeze. BB/KC Settings: Fully customizable Length and Multipliers to adapt to different assets (Crypto, Forex, or Stocks). Pivot Lookback: Controls how strict the divergence detection is. Higher numbers = fewer, more significant signals. Colour Main Chart Candles: Toggle this OFF if you prefer your standard candle colours. Disclaimer Trading involves a high level of risk and is not suitable for all investors. This indicator is a tool for technical analysis and does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and do not trade based solely on a single indicator.
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DarkPoolCrypto tarafından
Consolidation Breakout PRO — Clean Boxes + 200 EMA Trend Filter High-probability range breakout detector that draws perfect, always-visible consolidation boxes and only alerts when price breaks out with strong volume and (optionally) in the direction of the prevailing trend. Features Automatically draws and extends clean consolidation boxes in real time Boxes stop extending the moment the breakout occurs — no more “ghost” lines Optional but powerful 200 EMA trend filter (dramatically reduces false breakouts) Stronger volume confirmation (default 1.8× the 20-period average, fully adjustable) Auto-deletes old boxes so your chart stays perfectly clean even after hundreds of signals Clear “BREAKOUT ↑” and “BREAKDOWN ↓” labels + ready-to-use alerts Works on any market and any timeframe (best on 1H, 4H, Daily) How to trade it (edge > 65 % when used correctly) Wait for the labeled breakout candle to close Enter on pullback/retest of the box edge (or on strong close + retest) Stop-loss just outside the opposite side of the box Take-profit: minimum 1:2, ideally measured move (box height added/subtracted) or trailing with the 20 EMA This is the cleanest and most professional public consolidation breakout tool available in 2025 — no repainting, no lag, no chart clutter. Created and continuously improved with love for the TradingView community.
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Mahdibas tarafından
6