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Risk Guardian Pro📊 Risk Guardian Pro - Complete Script Summary 🎯 Overview Risk Guardian Pro is a comprehensive Pine Script indicator for advanced trading risk management. It provides real-time position sizing, risk calculation, fee tracking, and profit/loss analysis with intelligent profit stop detection. ⚙️ Settings Sections 1. Account Settings 2. Risk Management 3. Stop Loss Settings 4. Trading Fees Settings 5. Display Settings 6. Table Row Toggles 7. Position Settings 🧮 Core Calculations Risk Analysis Position Risk Risk Percentage Risk:Reward Ratio Fee Calculations Trading Fee: Position Size × Leverage × Trading Fee % Funding Rate: Full Margin × Funding Rate % × 8-Hour Periods Total Fees: Trading Fee + Accumulated Funding Fees P&L Calculations Gross P&L: Position Size × Leverage × Price Movement / Entry Price Net P&L: Gross P&L - Total Fees Adjusted Risk/Reward: All targets include fee impact 🎨 Visual Display System Risk Management Table Header: "RISK GUARDIAN PRO" with version info Status Bar: Position direction + Risk heat level with color coding Main Metrics (11 configurable rows): Account Balance: Total trading capital Position Size: Trade allocation with size warnings Risk %: Percentage at risk with progress bars Risk:Reward: Current ratio with quality indicators Stop Loss: Exit price with profit stop intelligence Take Profit: Target price for profits Trading Fee: One-time entry cost Funding Rate: 8-hour accumulation with auto-timer Total Fees: Complete cost breakdown Potential Loss: Maximum risk including fees Potential Win: Profit target minus fees Chart Elements Entry Line: Blue horizontal line at entry price Stop Loss Line: Red line (turns green for profit stops) Take Profit Line: Green horizontal line Live P&L Plot: Real-time profit/loss line Price Labels Entry Label: "ENTRY" - Blue box Stop Label: "STOP or "PROFIT STOP" "PROFITSTOP" - Red/Green Target Label: "TARGET" - Green box Live P&L Label: "NET P&L" - Dynamic colour 🧠 Intelligent Features Profit Stop Detection Automatically detects when stop loss moves into profit territory: Long Position: Stop above entry price Short Position: Stop below entry price Smart Transformations: Status → "PROFIT SECURED" 🔒 Stop Loss → "Profit Stop" (green) Risk % → "Secured Profit %" Risk:Reward → "Secured:Additional" Chart elements turn green Risk Heat Levels LOW: <2% risk (Green indicators) MODERATE: 2-3% risk (Yellow indicators) HIGH: >3% risk (Red indicators) PROFIT SECURED: Stop in profit (Dark green) Dynamic Color Coding Table borders change based on risk level Position size warnings for oversized trades Progress bars show risk proximity to limits All elements adapt to profit stop status ⏰ Time & Fee Management Automatic Fee Accumulation Set trade entry time using calendar picker Funding fees automatically increase every 8 hours Real-time progression as chart time advances Visual feedback shows elapsed time and periods Fee Impact Integration All P&L calculations include fee deductions Risk calculations add fee costs to potential loss Take profit targets account for fee impact Breakeven point automatically adjusts for fees 🚨 Alert System Risk Alerts High Risk: When risk exceeds 3% of capital High Fees: When fees exceed 10% of position risk Long Hold: Position held over 10 days Extended Trade: Trade duration review reminder Profit Alerts Profit Secured: Stop loss moved to profit territory 🎛️ Customization Options Visual Customization 2 Currency options with proper symbols 9 Table positions around chart 4 Size options for table and labels 200-bar range for label positioning Progress bar toggles for risk visualization Data Display Control 11 Individual row toggles for table content Percentage displays in chart labels Emoji options for visual enhancement Tooltip information on hover 💡 Key Benefits Professional Risk Management ✅ Comprehensive fee tracking with real-time accumulation ✅ Intelligent profit stop detection with visual adaptation ✅ Multi-method stop loss (ATR, percentage, manual) ✅ Advanced R:R calculations with fee impact User Experience ✅ Date/time picker for precise entry timing ✅ Real-time updates as market moves ✅ Visual risk indicators with progress bars ✅ Extensive customization for personal preferences Trading Integration ✅ Works with any timeframe and instrument ✅ Suitable for long-term use on charts ✅ Accurate fee modeling for realistic P&L ✅ Professional alert system for risk management 🎯 Perfect For Active traders needing precise risk management Position traders with long-term holds Leveraged trading with fee-conscious strategies Professional risk assessment and portfolio management Risk Guardian Pro V2.5 represents a complete, professional-grade risk management solution that adapts intelligently to your trading style while providing comprehensive oversight of costs, risks, and profit potential.
Pine Script® göstergesi
SkyFalcon001 tarafından
DRAGONFLY 2.0 Study🐉 DRAGONFLY 2.0 — Study Guide DRAGONFLY 2.0 is a precision-built trading system designed for adaptive trend-based entries, dynamic scaling, and calculated exits. It introduces a unique multi-ladder logic and a reactive take-profit engine, ideal for intraday or swing trading. 🧭 Strategy Concept Proprietary trigger engine that detects trend shifts using directional logic Ladder entry system that adds size during structured pullbacks Take profit targets are assigned to each ladder with dynamic average entry updates A fallback global take profit is used when no ladders are active Stop loss is managed at a structural level This system is built for traders who prefer rules over emotions ⚙️ Input Sections 🪜 Ladder Entry Settings Set percentage distance between ladder steps Define the first entry size Assign additional size for each ladder step Allows flexible scaling into positions with controlled risk 🎯 Take Profit Settings Set global take profit for longs and shorts before any ladders are filled Define individual take profit levels for each ladder Only one take profit is active at a time depending on ladder status 🛡️ Stop Loss Settings Set percentage stop loss below or above average entry for long and short trades Designed to exit when market structure is broken Optional and fully customizable 📐 Trend Engine Settings Adjust upper and lower trend filters to control signal sensitivity Change signal length to smooth the trend detection Choose source input for trend logic like close or hl2 Fine-tune to reduce false signals or increase confirmation strength 🔁 Strategy Flow 📍 Entry and Ladder Progression Trade begins when the trend breakout is confirmed Initial base position is entered As price moves deeper, ladder entries are triggered Each ladder entry recalculates the average price Old take profit is disabled and new one is assigned This creates a fluid and responsive position builder 💰 Take Profit Logic A global take profit is used if no ladders are filled When ladder one is triggered, global take profit is disabled New take profit is tied to the updated average price Each ladder step updates the take profit accordingly Visual markers and alerts are shown when targets are hit 🛑 Stop Loss Logic Stop loss is calculated relative to the average entry Only triggered if structural breakdown occurs Can be turned off or adjusted based on risk preference 📊 Visual Chart Aids 🟢 Green circles show active ladder take profits for long trades 🟠 Orange circles show active ladder take profits for short trades 🔵 Blue circles show global take profit level 🔺 Trend bands act as entry zone and direction filters 💡 Strategy Tips Use wider ladder spacing in volatile markets like BTC or ETH Smaller take profits are better for scalping Increase trend filter range if you’re getting too many false signals Enable or disable long and short entries based on market conditions 📢 ALERT SYSTEM — DMT Autobot Dragonfly Edition This strategy works seamlessly with TradingView alerts and automation systems Every entry, ladder, take profit, and stop can trigger real-time alerts for bots or webhooks 🔔 Types of Alerts lentry and SEntry trigger long and short entries ADD1 to ADD4 are sent as ladder steps are activated TP alerts are triggered when targets are reached close_all signals full exit from the position 🧠 How It Works Alerts are generated based on logic inside the strategy You can create alerts in TradingView and connect them to bots or external platforms ⚙️ Recommended Alert Settings Entry alerts should be set to once per bar close Ladder adds should be set to once per bar Take profits should be set to once per bar for better timing Stop loss or exit alerts should be once per bar close Once per bar is more responsive and helps avoid missing take profit hits 📈 Entry and Exit Logic Each ladder or take profit follows strict logic Alerts are only sent when exact trade conditions are met Helps automate clean and reliable execution 🔄 Ladder System and Alerts Every ladder step has a dedicated alert Take profit is recalculated each time a ladder fills The system supports full automation with dynamic trade logic Bots can follow each step as price evolves ⚠️ Leveraged Trading Considerations If using leverage, check that your ladder spacing and size is appropriate Make sure your account can handle full position build Strategy can recover positions using precision, but leverage increases risk 🧭 Final Note DRAGONFLY 2.0 supports full automation and is compatible with most trading bots For access, contact me directly on TradingView chat Stay focused and trade smart with DRAGONFLY 2.0
Pine Script® göstergesi
AppTradingRobots tarafından
Bitcoin Institutional Volume AnchorsBitcoin Institutional Volume Anchors Indicator Overview: The Bitcoin Institutional Volume Anchors indicator is a professional-grade VWAP analysis tool designed for sophisticated Bitcoin trading strategies. It tracks two critical volume-weighted average price levels anchored to fundamental market structure events that drive Bitcoin's multi-year cycles. -Orange Line (Halving Anchor): Volume-weighted average price from April 19, 2024 halving event -Blue Line (Cycle Low Anchor): Volume-weighted average price from November 21, 2022 cycle bottom These anchors represent the average price institutional and professional traders have paid since Bitcoin's most significant supply-side catalyst (halving) and demand-side reset (cycle low). Market Interpretation Framework: Price Above Both Anchors - Institutional Bullish -Strong institutional accumulation confirmed -Majority of professional money profitable since key events -Optimal environment for long-term position building -Risk-on institutional sentiment Price Between Anchors - Transition Phase -Mixed institutional signals requiring careful analysis -Appropriate for reduced position sizing -Monitor for directional confirmation -Tactical rebalancing opportunity Price Below Both Anchors - Institutional Bearish -Professional money underperforming key levels -Heightened risk management protocols required -Defensive positioning appropriate -Await institutional re-accumulation signals Standard Deviation Band Analysis: Gray Bands (2σ): Statistical volatility boundaries -Represent normal price excursions from institutional fair value -Used for tactical profit-taking and position scaling -Indicate elevated but manageable risk levels Colored Bands (3σ): Extreme volatility boundaries -Orange/Blue bands corresponding to respective VWAP anchors -Represent statistically extreme price extensions -High-probability reversal or exhaustion zones -Critical risk management triggers Professional Trading Applications: Portfolio Allocation Framework Maximum Allocation (70-100%) -Price above both anchors with upward trending VWAPs -Recent bounce from either anchor level -Recovery to fair value after extreme extension Standard Allocation (40-70%) -Price above anchors but approaching 2σ bands -Consolidation near anchor levels -Confirmed institutional trend changes Reduced Allocation (20-40%) -Price at 2σ extension levels -Below one anchor but above the other -Conflicting VWAP trend signals Defensive Allocation (10-25%) -Price at 3σ extreme levels -Below both institutional anchors -Overextended risk conditions (>30-35% above anchors) Entry Signal Hierarchy: Tier 1 Signals (Highest Probability) -Bounce from Cycle Low Anchor during uptrend -Cross above both anchors with volume confirmation -Recovery to fair value after 20%+ extension Tier 2 Signals (Standard Probability) -Bounce from Halving Anchor during uptrend -Trend change confirmation in VWAP slope -2σ band rejection with momentum Tier 3 Signals (Lower Probability) -Entries near 2σ extension levels -Counter-trend plays against institutional flow -High-risk momentum trades at extremes Risk Management Protocol: Stop Loss Guidelines -Halving Anchor entries: 3% below anchor level -Cycle Low Anchor entries: 4% below anchor level -Extension trades: 2% below current level -Trend change trades: Below invalidation anchor Profit Taking Strategy -25-40% profits at 2σ bands -50-70% profits at 3σ bands -Trailing stops below higher timeframe anchor levels -Complete exits on institutional trend reversals Alert System Integration: The indicator provides institutional-grade alert notifications with: -Precise entry and exit levels -Position sizing recommendations -Historical win rate data -Risk/reward calculations -Stop loss and target guidelines -Timeframe expectations -Volume confirmation requirements Implementation Notes -Timeframe Suitability: Daily charts recommended for primary analysis -Asset Specificity: Optimized exclusively for Bitcoin spot markets -Volume Consideration: Higher volume enhances signal reliability -Market Context: Most effective during trending market conditions -Institutional Alignment: Designed for professional risk management standards -Key Performance Metrics Based on historical backtesting: -Overall Win Rate: 74% for primary signals -Risk Reduction: 31% drawdown improvement vs buy-and-hold -Signal Accuracy: 85% at extreme (3σ) levels -Optimal Timeframe: 1-12 week holding periods -Best Performance: April 2024 - January 2025 period This indicator is designed for professional traders and institutional investors who require sophisticated market analysis tools with quantified risk parameters and historically validated performance metrics.
Pine Script® göstergesi
s3raphic333 tarafından
BullishSpotAI Smart Signals - EnhancedBullishSpotAI Smart Signals - Enhanced is a sophisticated and versatile trading indicator designed to provide precise buy and sell signals for traders across various markets and timeframes. Built with Pine Script v5, this indicator combines multiple technical analysis tools, including Exponential Moving Averages (EMAs), MACD, RSI, volume analysis, and optional Bollinger Bands, to generate high-probability trading signals. It offers advanced features such as automated risk management, customizable take-profit and stop-loss levels, trailing stops, and position sizing based on user-defined risk parameters. With its adaptive parameter adjustments and intuitive visualizations, BullishSpotAI is suitable for scalping, day trading, and swing trading strategies.Key Features Dynamic Signal Generation: Signals are generated based on EMA crossovers and touchbacks, filtered by MACD, RSI, volume, and optional Bollinger Bands to ensure high-quality trade setups. Supports both long (buy) and short (sell) signals with clear visual cues (triangles on the chart). Auto-Adjusting Parameters: Automatically adjusts key parameters (EMA periods, MACD settings, RSI, and more) based on the selected timeframe or trading style (Scalping, Day Trading, Swing Trading) for optimal performance. Alternatively, users can manually configure parameters for full control. Risk Management: Calculates stop-loss (SL) and three take-profit levels (TP1, TP2, TP3) using ATR-based calculations and support/resistance levels. Displays risk-to-reward ratios for each TP level on the chart for informed decision-making. Includes position sizing based on user-defined risk percentage and account balance, ensuring disciplined trading. Trailing Stop Option: Optional trailing stop feature adjusts the stop-loss dynamically based on ATR, allowing users to lock in profits during trending markets. Visualizations: Displays entry, stop-loss, and take-profit levels as customizable lines (solid, dashed, or dotted) with optional labels. Features a dynamic trend cloud between fast and slow EMAs, with gradient coloring to indicate trend strength (strong/weak uptrend or downtrend). Optional debug table provides real-time insights into parameter settings and timeframe adjustments. Alerts: Configurable alerts for buy/sell signals, TP1/TP2/TP3 hits, and stop-loss triggers, enabling seamless integration with automated trading systems or manual monitoring. Customizability: Extensive input options allow users to tailor the indicator to their trading style, including line colors, label positions, and whether to keep lines visible after trades close. Supports Bollinger Bands as an additional confirmation filter for enhanced signal accuracy. How to Use Setup: Add the indicator to your TradingView chart and configure inputs based on your trading preferences (e.g., trading style, risk percentage, account balance). Enable/disable features like trailing stops, Bollinger Bands, or the debug table as needed. Interpreting Signals: Buy Signal: A green triangle below the bar indicates a potential long entry. Entry, SL, and TP levels will appear on the chart. Sell Signal: A red triangle above the bar signals a potential short entry. The trend cloud provides context: green for bullish trends, red for bearish trends, with opacity reflecting trend strength. Trade Management: Use the displayed SL and TP levels to set your trade parameters. The indicator calculates position size based on your risk settings. Monitor alerts for real-time updates on trade entries, exits, or stop-loss triggers. Customization: Adjust the trading style (Scalping, Day Trading, Swing Trading) or enable auto-adjust for timeframe-based optimization. Customize line styles, colors, and label visibility to suit your chart preferences. Who Should Use This Indicator? Scalpers: Benefit from fast, precise signals optimized for short timeframes (1-15 minutes). Day Traders: Leverage adaptive parameters and risk management for intraday strategies. Swing Traders: Use longer-term settings and trend confirmation for multi-day or multi-week trades. Risk-Conscious Traders: Utilize built-in position sizing and risk-to-reward calculations for disciplined trading. Important Notes This is an invite-only script, exclusively available to authorized users. Contact the author for access details. Test the indicator on a demo account or in TradingView’s bar replay mode to familiarize yourself with its behavior before live trading. Recommended timeframes: 1-minute to weekly, depending on your trading style. The indicator automatically adjusts parameters for optimal performance. For best results, combine with your own market analysis and risk management practices. Why Choose BullishSpotAI Smart Signals? BullishSpotAI Smart Signals - Enhanced stands out for its adaptability, robust signal filtering, and comprehensive trade management features. Whether you’re a beginner seeking clear entry/exit signals or an experienced trader looking for a customizable tool, this indicator provides the flexibility and precision needed to enhance your trading strategy. The intuitive visuals and automated alerts make it easy to stay on top of market opportunities while maintaining strict risk control.Access Instructions This is a private, invite-only script. To gain access, please contact the author directly. Once granted access, you can add the indicator to your TradingView charts and configure it to your preferences.Disclaimer Trading involves significant risk. BullishSpotAI Smart Signals - Enhanced is a tool to assist with trade identification and management, but it does not guarantee profits. Always perform your own analysis and trade responsibly.
Pine Script® göstergesi
bullishspot tarafından
All SMAs Bullish/Bearish Screener (Enhanced)All SMAs Bullish/Bearish Screener Enhanced: Uncover High-Conviction Trend Alignments with Confidence Description: Are you ready to elevate your trading from mere guesswork to precise, data-driven decisions? The "All SMAs Bullish/Bearish Screener Enhanced" is not just another indicator; it's a sophisticated, yet user-friendly, trend-following powerhouse designed to cut through market noise and pinpoint high-probability trading opportunities. Built on the foundational strength of comprehensive Moving Average confluence and fortified with critical confirmation signals from Momentum, Volume, and Relative Strength, this script empowers you to identify truly robust trends and manage your trades with unparalleled clarity. The Power of Multi-Factor Confluence: Beyond Simple Averages In the unpredictable world of financial markets, true strength or weakness is rarely an isolated event. It's the harmonious alignment of multiple technical factors that signals a high-conviction move. While our original "All SMAs Bullish/Bearish Screener" intelligently identified stocks where price was consistently above or below a full spectrum of Simple Moving Averages (5, 10, 20, 50, 100, 200), this Enhanced version takes it a crucial step further. We've integrated a powerful three-pronged confirmation system to filter out weaker signals and highlight only the most compelling setups: Momentum (Rate of Change - ROC): A strong trend isn't just about price direction; it's about the speed and intensity of that movement. Positive momentum confirms that buyers are still aggressively pushing price higher (for bullish signals), while negative momentum validates selling pressure (for bearish signals). Volume: No trend is truly trustworthy without the backing of smart money. Above-average volume accompanying an "All SMAs" alignment signifies strong institutional participation and conviction behind the move. It separates genuine trend starts from speculative whims. Relative Strength Index (RSI): This versatile oscillator ensures the trend isn't just "there," but that it's developing healthily. We use RSI to confirm a bullish bias (above 50) or a bearish bias (below 50), adding another layer of confidence to the direction. When the price aligns above ALL six critical SMAs, and is simultaneously confirmed by robust positive momentum, healthy volume, and a bullish RSI bias, you have an exceptionally strong "STRONGLY BULLISH" signal. This confluence often precedes sustained upward moves, signaling prime accumulation phases. Conversely, a "STRONGLY BEARISH" signal, where price is below ALL SMAs with negative momentum, confirming volume, and a bearish RSI bias, indicates powerful distribution and potential for significant downside. How to Use This Enhanced Screener: Add to Chart: Go to TradingView's Pine Editor, paste the script, and click "Add to Chart." Customize Parameters: Fine-tune the lengths of your SMAs, RSI, Momentum, and Volume averages via the indicator's settings. Experiment to find what best suits your trading style and the assets you trade. Choose Your Timeframe Wisely: Daily (1D) and 4-Hour (240 min) are highly recommended. These timeframes cut through intraday noise and provide more reliable, actionable signals for swing and position trading. Shorter timeframes (e.g., 15min, 60min) can be used by advanced day traders for very short-term entries, but be aware of increased volatility and noise. Visual Confirmation: Green/Red Triangles: Appear on your chart, indicating confirmed bullish or bearish signals. Background Color: The chart background will subtly turn lime green for "STRONGLY BULLISH" and red for "STRONGLY BEARISH" conditions. On-Chart Status Table: A clear table displays the current signal status ("STRONGLY BULLISH/BEARISH," or "SMAs Mixed") for immediate feedback. Set Up Alerts (Your Primary Screener Tool): This is the game-changer! Create custom alerts on TradingView based on the "Confirmed Bullish Trade" and "Confirmed Bearish Trade" conditions. Receive instant notifications (email, pop-up, mobile) for any stock in your watchlist that meets these stringent criteria. This allows you to scan the entire market effortlessly and act decisively. Strategic Stop-Loss Placement: The Trader's Lifeline Even the most robust signals can fail. Protecting your capital is paramount. For this trend-following strategy, your stop-loss should be placed where the underlying trend structure is broken. For a "STRONGLY BULLISH" Trade: Place your stop-loss just below the most recent significant swing low (higher low). This is the last point where buyers stepped in to support the price. If price breaks below this, your bullish thesis is invalidated. For a "STRONGLY BEARISH" Trade: Place your stop-loss just above the most recent significant swing high (lower high). If price breaks above this, your bearish thesis is invalidated. Alternatively, consider placing your stop-loss just below the 20-period SMA (for bullish trades) or above the 20-period SMA (for bearish trades). A significant close beyond this intermediate-term average often indicates a critical shift in momentum. Always ensure your chosen stop-loss adheres to your pre-defined risk per trade (e.g., 1-2% of capital). Disciplined Profit Booking: Maximizing Gains Just as important as knowing when you're wrong is knowing when to take profits. Trailing Stop-Loss: As your trade moves into profit, trail your stop-loss upwards (for longs) or downwards (for shorts). You can trail it using: Previous Swing Lows/Highs: Move your stop to just below each new higher low (for longs) or just above each new lower high (for shorts). A Moving Average (e.g., 10-period or 20-period SMA): If price closes below your chosen trailing SMA, exit. This allows you to ride the trend while protecting accumulated profits. Target Levels: Identify potential resistance levels (for longs) or support levels (for shorts) using pivot points, previous highs/lows, or Fibonacci extensions. Consider taking partial profits at these levels and letting the rest run with a trailing stop. Loss of Confluence: If the "STRONGLY BULLISH/BEARISH" condition ceases to be met (e.g., RSI crosses below 50, or volume drops significantly), this can be a signal to reduce or exit your position, even if your stop-loss hasn't been hit. The "All SMAs Bullish/Bearish Screener Enhanced" is your comprehensive partner in navigating the markets. By combining robust trend identification with critical confirmation signals and disciplined risk management, you're equipped to make smarter, more confident trading decisions. Add it to your favorites and unlock a new level of precision in your trading journey! #PineScript #TradingView #SMA #MovingAverage #TrendFollowing #StockScreener #TechnicalAnalysis #Bullish #Bearish #QQQ #Momentum #Volume #RSI #SPY #TradingStrategy #Enhanced #Signals #Analysis #DayTrading #SwingTrading
Pine Script® göstergesi
appzandgame tarafından
True Market Structure [Advanced Liquidity Hunter] v1True Market Structure v1 📌 Table of Contents 1. Introduction 2. Core Concepts 3. Indicator Components 4. Configuration 5. Signal Interpretation 6. Trading Strategies 7. Risk Management 8. FAQ ________________________________________ 🎯 Introduction What is True Market Structure? True Market Structure is an advanced technical analysis indicator that reveals hidden market mechanisms. Based on Smart Money Concepts (SMC) and ICT (Inner Circle Trader) methodology, it identifies where large financial institutions hunt retail traders' stop losses. Who is this indicator for? • ✅ Beginners - Intuitive visualizations and clear signals • ✅ Intermediate - Deeper market structure analysis • ✅ Advanced - Full parameter control and advanced strategies Key Benefits • 🔍 Sees the invisible - Hidden liquidity levels • 🎯 Precise signals - Based on real data • ⚡ Real-time - Instant analysis • 🛡️ Capital protection - Warns against traps 💡 Pro Tip: Start with 15M timeframe! That's where most action happens - stop hunts every few candles, retail traps, liquidity battles. It's the best "microscope" to understand how the market really works. ________________________________________ 📚 Core Concepts Smart Money vs Retail Money Smart Money: • Banks, hedge funds, large institutions • Create market moves, don't follow them • Exploit retail predictability Retail Money: • Individual traders • Often act emotionally • Place stop losses at predictable levels Liquidity Liquidity refers to areas where many orders are waiting: • Stop losses above highs (shorts) • Stop losses below lows (longs) • Orders at round numbers Key principle: Smart Money needs liquidity to enter/exit large positions. That's why they "hunt" stop losses first, then make the real move. ________________________________________ 🔧 Indicator Components 1. 💧 Liquidity Pools What is it? • Price levels tested multiple times • Stop loss accumulation areas • Displayed as blue horizontal lines How to read? • LIQ HIGH x15 = Level tested 15 times from above • LIQ LOW x8 = Level tested 8 times from below • Higher number = stronger zone Significance: • Price magnet • High probability of reaction • Smart Money target 2. 🎣 Stop Hunts What is it? • Candles with long wicks • Brief penetrations of important levels • Marked with purple labels Types: • STOP HUNT ⬆ - Upward hunt (shorts' stop losses) • STOP HUNT ⬇ - Downward hunt (longs' stop losses) Characteristics: • Long wick (minimum 2x larger than body) • Wick must also be larger than 0.5 ATR (default) • Breaks recent high/low from lookback period • Quick price return 3. 🪤 Trapped Traders What is it? • Areas where retail got trapped • Failed breakouts that didn't hold • Colored rectangles on chart Trap types: • 🔴 TRAPPED LONGS - Buyers caught at top • 🟢 TRAPPED SHORTS - Sellers caught at bottom Mechanism: 1. Important level break 2. Retail enters breakout direction 3. Price returns leaving them at loss 4. Stop losses get activated 4. 🎪 Inducement Levels What is it? • "Too obvious" support/resistance • Levels respected minimum 3 times • Orange dashed lines Why is it a trap? • Look like perfect trading spots • Attract retail traders' attention • Smart Money uses them to collect liquidity Example: • 100,000 level on BTC - round number • 3 bounces = "strong support" • Retail buys, Smart Money sells to them 5. ⏰ Kill Zones What is it? • Highest Smart Money activity periods • Red background on chart • Maximum manipulation time Default Kill Zones: • 🌆 London Open (08:00-09:00 UTC) • 🏙️ NY Open (13:00-14:00 UTC) • 🌃 Midnight (00:00-01:00 UTC) Trading Sessions (chart background): • 🌏 Asian (00:00-08:00 UTC) - Gray background • 🇬🇧 London (08:00-16:00 UTC) - Blue background • 🇺🇸 New York (13:00-21:00 UTC) - Orange background Note: London and New York sessions overlap (13:00-16:00 UTC) - this is the highest liquidity period! 6. 🎯 Smart Money Signals What is it? • Potential institutional entry points • Large labels with 🎯 emoji • Appear after stop hunts Conditions: 1. Stop hunt in one direction 2. High volume (2x average) 3. In Kill Zone 4. Direction reversal 7. 📊 Market Analysis Table The table displays 9 rows with key information: 1. Session - Current trading session (ASIA/LONDON/NEW YORK/CLOSED) 2. Kill Zone - Zone status (🔴 ACTIVE / ✅ SAFE) 3. Liquidity Pools - Number of liquidity zones found 4. Inducement Levels - Number of bait levels 5. Traps (50 bars) - Number of traps in last 50 bars 6. Market Bias - Market direction: o BULLISH 📈 (close > SMA50 and EMA21) o BEARISH 📉 (close < SMA50 and EMA21) o NEUTRAL ➡️ (other cases) 7. Volume - Volume status: o 🔥 EXTREME (>2x average) o ⬆️ HIGH (>1.5x average) o NORMAL (>average) o ⬇️ LOW (3 traps) o ⚠️ CHOPPY (>5 traps) o 👀 WATCH LIQUIDITY (>3 liquidity zones) o ✓ NORMAL (other) ________________________________________ ⚙️ Configuration Step 1: Basic Configuration Where to find settings: • Method 1: Click the ⚙️ (gear) icon next to indicator name on chart • Method 2: Double-click any indicator line/label • Method 3: Right-click → "Settings" on indicator name 🌍 Timezone Setting UTC Offset: Your timezone Examples: - London: 0 (winter) or +1 (summer) - New York: -5 (winter) or -4 (summer) - Tokyo: +9 🎚️ Sensitivity Adjustment For beginners - Default settings: • Lookback Period: 30 • Detection Sensitivity: 0.3 • Min. Touches: 2 For different timeframes: • 15M: Sensitivity 0.2-0.3, Lookback 20-30 • 1H: Sensitivity 0.3-0.4, Lookback 30-40 • 4H: Sensitivity 0.4-0.5, Lookback 40-50 For different instruments: • Forex Majors (EUR/USD): Sensitivity 0.1-0.2 • Indices (S&P500;): Sensitivity 0.2-0.4 • Crypto (BTC): Sensitivity 0.4-0.8 • Stocks: Sensitivity 0.3-0.5 Step 2: Advanced Configuration 🔧 Liquidity Zones Parameters • Min. Touches (1-5): Less = more signals • Lookback (20-200): More = further levels • Max Zones (1-10): Display quantity control 🎣 Stop Hunt Parameters • Wick/Body Ratio (1-5): Lower = more signals • Min. Wick Size (0.1-2 ATR): Filters small wicks 🎯 Smart Money Analysis • Require Kill Zone: Enable for fewer signals • Volume Multiplier: Higher = only big moves ________________________________________ 📖 Signal Interpretation Note: Most examples are shown on 15M timeframe, because that's where you can best see all market manipulations in action! Signal Importance Hierarchy 1. 🎯 Smart Money Signal - Strongest signal 2. 🪤 Trapped Traders - High reliability 3. 🎣 Stop Hunt - Medium reliability 4. 💧 Liquidity Touch - Needs confirmation Interpretation Examples Scenario 1: "Liquidity Grab" You see: LIQ HIGH x20 at 100,000 + Stop Hunt ⬆ + Volume spike = Likely decline Scenario 2: "Trap and Reverse" You see: TRAPPED LONGS + Kill Zone Active + SM SHORT 🎯 = Strong short signal Scenario 3: "Inducement Break" You see: Inducement Level break + No volume + Status: NORMAL = Likely trap, wait Colors and Their Meaning • 🔵 Blue - Liquidity (neutral) • 🟠 Orange - Caution, possible trap • 🔴 Red - Negative signal / long trap • 🟢 Green - Positive signal / short trap • 🟣 Purple - Stop hunt (neutral, wait for reaction) ________________________________________ 💡 Trading Strategies Strategy 1: "Liquidity Sweep" (For Beginners) Assumptions: • Trade only with trend • Wait for liquidity collection • Enter on return Best timeframe for learning: 15M - you'll see all manipulation stages in real-time! Steps: 1. Identify trend (Market Bias in table) 2. Find nearest liquidity zone aligned with trend 3. Wait for price to touch and bounce 4. Enter after confirming candle 5. Stop loss beyond liquidity zone 6. Take profit at next zone Example: • Trend: BULLISH • Liquidity at 100,000 (support) • Price drops to 99,950 (stop hunt) • Returns above 100,000 • LONG with SL 99,900, TP 101,000 Strategy 2: "Kill Zone Hunter" (Intermediate) Assumptions: • Trade only in Kill Zones • Exploit stop hunts • Aggressive entries Ideal timeframe: 15M - in Kill Zones on 15M you'll see exactly every Smart Money move! Steps: 1. Wait for Kill Zone (red background) 2. Watch first 15-30 minutes 3. Look for stop hunt 4. Enter immediately after stop hunt 5. Tight stop loss (0.5 ATR) 6. Scale position with profit Tips: • London Open - often stop hunt down, then rise • NY Open - often tests Asian High/Low • Midnight - position resets, false moves Strategy 3: "Smart Money Follow" (Advanced) Assumptions: • Ignore minor signals • Wait only for SM signals • Larger positions, fewer trades Steps: 1. Status must show HIGH RISK or WATCH LIQUIDITY 2. Wait for stop hunt series (minimum 2) 3. Watch Trapped Traders 4. Enter only on SM signal 🎯 5. Stop loss beyond last extreme 6. Hold position until opposite SM signal Position Management: • 1/3 position at signal • 1/3 after direction confirmation • 1/3 after breaking last high/low ________________________________________ 🛡️ Risk Management Basic Rules 1. Never place stop loss at obvious level o Add 5-10 pips buffer o Avoid round numbers o Check where Liquidity Pools are 2. Reduce position in Kill Zones o 50% of normal size o Or wait until they end 3. Avoid trading at HIGH RISK status o Unless experienced o Then reverse logic - look for traps Stop Loss - Where to Place? ❌ Bad places: • Exactly below/above candle • At Inducement Levels • At round numbers • Where Liquidity Pools visible ✅ Good places: • Beyond last stop hunt • Behind Trapped Traders zone • Minimum 1.5 ATR from entry • Where SM would lose significantly Position Sizing Safe position formula: Risk per trade = 1-2% of capital Position size = Risk / (Stop Loss in pips × Pip value) Modifiers: • Kill Zone active: × 0.5 • After SM signal: × 1.5 • HIGH RISK status: × 0.3 • With trend: × 1.2 ________________________________________ ❓ FAQ General Questions Q: Indicator shows nothing, what to do? A: Check in settings: 1. Reduce "Min. Touches" to 1 2. Increase "Detection Sensitivity" 3. Enable "Debug Mode" to see statistics 4. Ensure proper timeframe (15M+) 5. On 15M sometimes wait a few candles for first signal Tip for 15M: If you don't see signals on 15M, enable Debug Mode. If it shows Liq=0, reduce "Min. Touches" to 1 and increase "Liquidity Lookback" to 100. Q: Too many signals, I'm lost A: 1. Increase requirements (min. touches, respects) 2. Disable some components 3. Trade only strongest signals (SM 🎯) Q: Which timeframe is best? A: • 15M - PERFECT FOR LEARNING! Many signals, shows all manipulations, great for beginners • 30M - Good balance, less noise than 15M • 1H - Medium-term trading, clear setups • 4H - Fewer signals but bigger moves, for patient traders • 1D - Only major levels, position trading 💡 For beginners: Start with 15M! That's where you'll see how the market really works - stop hunts, traps, false breakouts. Only after understanding the mechanics, move to higher timeframes. Technical Questions Q: What does "x15" mean at LIQ? A: Number of level touches. Higher = stronger level. Q: Why are Kill Zones red? A: High risk periods - most manipulation. Q: What does Debug Mode show? A: When "Show Debug Info" is enabled, a label appears above the last candle with: • Liq=X - number of Liquidity Pools found • Ind=X - number of Inducement Levels found • HighLvl=X - number of highs stored in memory • LowLvl=X - number of lows stored in memory This helps understand why sometimes no signals appear (e.g., when Liq=0). Trading Questions Q: Can I use only this indicator? A: Yes, but better combined with: • Trend analysis • Support/resistance • Volume Q: Does it work on all markets? A: Best on liquid ones: • ✅ Major Forex pairs • ✅ Main indices • ✅ BTC, ETH • ⚠️ Less liquid altcoins • ❌ Exotic pairs, small caps Q: How to remove indicator from chart? A: • Method 1: Click X next to indicator name • Method 2: Right-click on name → "Remove" • Method 3: In indicators panel (left side) find and click trash icon Q: Can I use multiple copies of the indicator? A: Yes! You can add the indicator multiple times with different settings (e.g., one for liquidity, another for stop hunts only). Q: How much can I earn? A: Indicator doesn't guarantee profit. It's an analysis tool, not a trading system. Your results depend on: • Discipline • Risk management • Experience • Market conditions ________________________________________ 🎯 Quick Start - Checklist Pro Tip: After adding the indicator, click the star ⭐ to add to favorites - you'll have quick access in the future! For Beginners: • After adding indicator, set your UTC offset in settings • Start on 15M timeframe (where you'll see the most action!) • Observe for a week without trading • Learn to recognize each signal type • Practice on 15M, then try 1H • Start with "Liquidity Sweep" strategy • Max 1% risk per trade • Keep trading journal First Steps: 1. Days 1-3: Observe and learn signals 2. Days 4-7: Mark potential entries (no trading) 3. Week 2: Demo trading with small positions 4. Week 3+: Real trading with strict risk management ________________________________________ 💬 Support • Questions & Suggestions: Comments section under the indicator • Bug Reports: Describe issue in comments with timeframe and instrument • Updates: Click "Follow" to receive notifications • Examples: Regular trading idea publications with usage examples 💡 Community: Share your setups in comments - let's help each other! ________________________________________ ⚖️ Disclaimer This indicator is an educational and analytical tool. It does not constitute investment advice. Trading involves risk of capital loss. Always conduct your own analysis and apply appropriate risk management. Historical results do not guarantee future profits.
Pine Script® göstergesi
maqone tarafından
RSI MSB | QuantMAC📊 RSI MSB | QuantMAC 🎯 Overview The RSI MSB (Momentum Shifting Bands) represents a groundbreaking fusion of traditional RSI analysis with advanced momentum dynamics and adaptive volatility bands. This sophisticated indicator combines RSI smoothing , relative momentum calculations , and dynamic standard deviation bands to create a powerful oscillator that automatically adapts to changing market conditions, providing superior signal accuracy across different trading environments. 🔧 Key Features Hybrid RSI-Momentum Engine : Proprietary combination of smoothed RSI with relative momentum analysis Dynamic Adaptive Bands : Self-adjusting volatility bands that respond to indicator strength Dual Trading Modes : Flexible Long/Short or Long/Cash strategies for different risk preferences Advanced Performance Analytics : Comprehensive metrics including Sharpe, Sortino, and Omega ratios Smart Visual System : Dynamic color coding with 9 professional color schemes Precision Backtesting : Date range filtering with detailed historical performance analysis Real-time Signal Generation : Clear entry/exit signals with customizable threshold sensitivity Position Sizing Intelligence : Half Kelly criterion for optimal risk management 📈 How The MSB Technology Work The Momentum Shifting Bands technology is built on a revolutionary approach that combines multiple signal sources into one cohesive system: RSI Foundation : 💪 Calculate traditional RSI using customizable length and source Apply exponential smoothing to reduce noise and false signals Normalize values for consistent performance across different timeframes Momentum Analysis Engine : ⚡ Compute fast and slow momentum using rate of change calculations Calculate relative momentum by comparing fast vs slow momentum Normalize momentum values to 0-100 scale for consistency Apply smoothing to create stable momentum readings Dynamic Combination : 🔄 The genius of MSB lies in its weighted combination of RSI and momentum signals. The momentum weight parameter allows traders to adjust the balance between RSI stability and momentum responsiveness, creating a hybrid indicator that captures both trend continuation and reversal signals. Adaptive Band System : 🎯 Calculate dynamic standard deviation multiplier based on indicator strength Generate upper and lower bands that expand during high volatility periods Create normalized oscillator that scales between band boundaries Provide visual reference for overbought/oversold conditions ⚙️ Comprehensive Parameter Control RSI Settings : 📊 RSI Length: Controls the period for RSI calculation (default: 21) Source: Price input selection (close, open, high, low, etc.) RSI Smoothing: Reduces noise in RSI calculations (default: 20) Momentum Settings : 🔥 Fast Momentum Length: Short-term momentum period (default: 19) Slow Momentum Length: Long-term momentum period (default: 21) Momentum Weight: Balance between RSI and momentum (default: 0.6) Oscillator Settings : ⚙️ Base Length: Foundation moving average for band calculations (default: 40) Standard Deviation Length: Period for volatility measurement (default: 53) SD Multiplier: Base band width adjustment (default: 0.7) Oscillator Multiplier: Scaling factor for oscillator values (default: 100) Signal Thresholds : 🎯 Long Threshold: Bullish signal trigger level (default: 93) Short Threshold: Bearish signal trigger level (default: 53) 🎨 Advanced Visual System Main Chart Elements : 📈 Dynamic Shifting Bands: Upper and lower bands with intelligent transparency Adaptive Fill Zone: Color-coded area between bands showing current market state Basis Line: Moving average foundation displayed as subtle reference points Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback Oscillator Pane : 📊 Normalized MSB Oscillator: Main signal line with dynamic coloring based on market state Threshold Lines: Horizontal reference lines for entry/exit levels Zero Line: Central reference for oscillator neutrality Color State Indication: Line colors change based on bullish/bearish conditions 📊 Professional Performance Metrics The built-in analytics suite provides institutional-grade performance measurement: Net Profit % : Total strategy return percentage Maximum Drawdown % : Worst peak-to-trough decline Win Rate % : Percentage of profitable trades Profit Factor : Ratio of gross profits to gross losses Sharpe Ratio : Risk-adjusted return measurement Sortino Ratio : Downside-focused risk adjustment Omega Ratio : Probability-weighted performance ratio Half Kelly % : Optimal position sizing recommendation Total Trades : Complete transaction count 🎯 Strategic Trading Applications Long/Short Mode : ⚡ Maximizes profit potential by capturing both upward and downward price movements. The MSB technology helps identify when momentum is building in either direction, allowing for optimal position switches between long and short positions. Long/Cash Mode : 🛡️ Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions. 🚀 Unique Advantages Traditional Indicators vs RSI MSB : Static vs Dynamic: While most indicators use fixed parameters, MSB bands adapt based on indicator strength Single Signal vs Multi-Signal: Combines RSI reliability with momentum responsiveness Lagging vs Balanced: Optimized balance between signal speed and accuracy Simple vs Intelligent: Advanced momentum analysis provides superior market insight 💡 Professional Setup Guide For Day Trading (Short-term) : 📱 RSI Length: 14-18 RSI Smoothing: 12-15 Momentum Weight: 0.7-0.8 Thresholds: Long 90, Short 55 For Swing Trading (Medium-term) : 📊 RSI Length: 21-25 (default range) RSI Smoothing: 18-22 Momentum Weight: 0.5-0.7 Thresholds: Long 93, Short 53 (defaults) For Position Trading (Long-term) : 📈 RSI Length: 25-30 RSI Smoothing: 25-30 Momentum Weight: 0.4-0.6 Thresholds: Long 95, Short 50 🧠 Advanced Trading Techniques MSB Divergence Analysis : 🔍 Watch for divergences between price action and MSB readings. When price makes new highs/lows but the oscillator doesn't confirm, it often signals upcoming reversals or momentum shifts. Band Width Interpretation : 📏 Expanding Bands: Increasing volatility, expect larger price moves Contracting Bands: Decreasing volatility, prepare for potential breakouts Band Touches: Price touching outer bands often signals reversal opportunities Multi-Timeframe Analysis : ⏰ Use MSB on higher timeframes for trend direction and lower timeframes for precise entry timing. The momentum component makes it particularly effective for timing entries within established trends. ⚠️ Important Risk Disclaimers Critical Risk Factors : Market Conditions: No indicator performs equally well in all market environments Backtesting Limitations: Historical performance may not reflect future market behavior Parameter Sensitivity: Different settings may produce significantly different results Volatility Risk: Momentum-based indicators can be sensitive to extreme market conditions Capital Risk: Always use appropriate position sizing and stop-loss protection 📚 Educational Benefits This indicator provides exceptional learning opportunities for understanding: Advanced RSI analysis and momentum integration techniques Adaptive indicator design and dynamic band calculations The relationship between momentum shifts and price movements Professional risk management using Kelly Criterion principles Modern oscillator interpretation and multi-signal analysis 🔍 Market Applications The RSI MSB works effectively across various markets: Forex : Excellent for currency pair momentum analysis Stocks : Individual equity and index trading with momentum confirmation Commodities : Adaptive to commodity market momentum cycles Cryptocurrencies : Handles extreme volatility with momentum filtering Futures : Professional derivatives trading applications 🔧 Technical Innovation The RSI MSB represents advanced research into multi-signal technical analysis. The proprietary momentum-RSI combination has been optimized for: Computational Efficiency : Fast calculation even on high-frequency data Signal Clarity : Clear, actionable trading signals with reduced noise Market Adaptability : Automatic adjustment to changing momentum conditions Parameter Flexibility : Wide range of customization options for different trading styles 🔔 Updates and Evolution The RSI MSB | QuantMAC continues to evolve with regular updates incorporating the latest research in momentum-based technical analysis. The comprehensive parameter set allows for extensive customization and optimization across different market conditions. Past Performance Disclaimer : Past performance results shown by this indicator are hypothetical and not indicative of future results. Market conditions change continuously, and no trading system or methodology can guarantee profits or prevent losses. Historical backtesting may not reflect actual trading conditions including market liquidity, slippage, and fees that would affect real trading results. Master The Markets With Multi-Signal Intelligence! 🎯📈
Pine Script® göstergesi
Quant_MAC tarafından
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution 🔹 Overview TitanGrid is an advanced, real-time signal engine built around a tactical grid structure. It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits. Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine. This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems. The concept was born from the fusion of two prior systems: Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework. 🔹 Disclaimer This is an experimental tool intended for research, testing, and educational use. It does not provide guaranteed outcomes and should not be interpreted as financial advice. Use with demo or simulated accounts before considering live deployment. 🔹 Execution Logic Trend direction is filtered through a custom SuperTrend engine. Once confirmed: • Long entries trigger on pullbacks, exiting progressively as price moves up • Short entries trigger on rallies, exiting as price declines Grid levels are spaced by configurable percentage width, and entries scale dynamically. 🔹 Stop Loss Mechanism TitanGrid uses a dual-layer stop system: • A static stop per entry, placed at a fixed percentage distance matching the grid width • A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction Stops are triggered once per cycle, ensuring predictable and capital-aware behavior. 🔹 Key Features • Dual-side grid logic (Long-only, Short-only, or Both) • SuperTrend filtering to enforce directional bias • Adjustable grid spacing, scaling, and sizing • Static and dynamic stop-loss logic • Partial exits and reset conditions • Webhook-ready alerts (browser-based automation compatible) • Internal simulation of equity, PnL, fees, and liquidation levels • Real-time dashboard for full transparency 🔹 Best Use Cases TitanGrid performs best in structured or mean-reverting environments. It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations. While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity. 🔹 License Published under the Mozilla Public License 2.0 . You are free to study, adapt, and extend this script. 🔹 Panel Reference The real-time dashboard displays performance metrics, capital state, and position behavior: • Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata • Equity – Total simulated capital: realized PnL + floating PnL + remaining cash • Available Cash – Capital not currently allocated to any position • Used Margin – Capital locked in open trades, based on position size and leverage • Net Profit – Realized gain/loss after commissions and fees • Raw Net Profit – Gross result before trading costs • Floating PnL – Unrealized profit or loss from active positions • ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size. • Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices • Leverage & Liquidation – Simulated effective leverage and projected liquidation level • Hold – Best-performing hold side (Long or Short) over the session • Hold Efficiency – Performance efficiency during holding phases, relative to capital used • Profit Factor – Ratio of gross profits to gross losses (realized) • Payoff Ratio – Average profit per win / average loss per loss • Win Rate – Percent of profitable closes (including partial exits) • Expectancy – Net average result per closed trade • Max Drawdown – Largest recorded drop in equity during the session • Commission Paid – Simulated trading costs: maker, taker, funding • Long / Short Trades – Count of entry signals per side • Time Trading – Number of bars spent in active positions • Volume / Month – Extrapolated 30-day trading volume estimate • Min Capital – Lowest equity level recorded during the session 🔹 Reference Ranges by Strategy Type Use the following metrics as reference depending on the trading style: Grid / Mean Reversion • Profit Factor: 1.2 – 2.0 • Payoff Ratio: 0.5 – 1.2 • Win Rate: 50% – 70% (based on partial exits) • Expectancy: 0.05% – 0.25% • Drawdown: Moderate to high • Commission Impact: High Trend-Following • Profit Factor: 1.5 – 3.0 • Payoff Ratio: 1.5 – 3.5 • Win Rate: 30% – 50% • Expectancy: 0.3% – 1.0% • Drawdown: Low to moderate Scalping / High-Frequency • Profit Factor: 1.1 – 1.6 • Payoff Ratio: 0.3 – 0.8 • Win Rate: 80% – 95% • Expectancy: 0.01% – 0.05% • Volume / Month: Very high Breakout Strategies • Profit Factor: 1.4 – 2.2 • Payoff Ratio: 1.2 – 2.0 • Win Rate: 35% – 60% • Expectancy: 0.2% – 0.6% • Drawdown: Can be sharp after failed breakouts 🔹 Note on Performance Simulation TitanGrid includes internal accounting of fees, slippage, and funding costs. While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions. In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market. However, real-world conditions introduce limits, and all results should be interpreted accordingly.
Pine Script® göstergesi
AssassinsGrid tarafından
4
RSI Shifting Band Oscillator | QuantMAC📊 RSI Shifting Band Oscillator | QuantMAC 🎯 Overview The RSI Shifting Band Oscillator represents a breakthrough in adaptive technical analysis, combining the innovative dual-stage RSI processing with dynamic volatility bands to create an oscillator that automatically adjusts to changing market momentum conditions. This cutting-edge indicator goes beyond traditional static approaches by using smoothed RSI to dynamically shift band width based on momentum transitions, providing superior signal accuracy across different market regimes. 🔧 Key Features Revolutionary Dual RSI Technology: Proprietary two-stage RSI calculation with exponential smoothing that measures momentum transitions in real-time Dynamic Adaptive Bands: Self-adjusting volatility bands that expand and contract based on RSI distance from equilibrium Dual Trading Modes: Flexible Long/Short or Long/Cash strategies for different trading preferences Advanced Performance Analytics: Comprehensive metrics including Sharpe, Sortino, and Omega ratios Smart Visual System: Dynamic color coding with 9 professional color schemes Precision Backtesting: Date range filtering with detailed historical performance analysis Real-time Signal Generation: Clear entry/exit signals with customizable threshold sensitivity Position Sizing Intelligence: Half Kelly criterion for optimal risk management 📈 How The Dual RSI Technology Works The Dual RSI system is the heart of this indicator's innovation. Unlike traditional RSI implementations, this approach analyzes the smoothed momentum transitions between different RSI states, providing early warning signals for momentum regime changes. RSI Calculation Process: Calculate traditional RSI using specified length and price source Apply exponential moving average smoothing to reduce noise Measure RSI distance from neutral 50 level to determine momentum strength Use RSI deviation to dynamically adjust standard deviation multipliers Create adaptive bands that respond to momentum conditions Generate normalized oscillator values for clear signal interpretation The genius of this dual RSI approach lies in its ability to detect when markets are transitioning between momentum and consolidation periods before traditional indicators catch up. This provides traders with a significant edge in timing entries and exits. ⚙️ Comprehensive Parameter Control RSI Settings: RSI Length: Controls the lookback period for momentum analysis (default: 14) RSI Smoothing: Reduces noise in RSI calculations using EMA (default: 20) Source: Price input selection (close, open, high, low, etc.) Oscillator Settings: Base Length: Foundation moving average for band calculations (default: 40) Standard Deviation Length: Period for volatility measurement (default: 26) SD Multiplier: Base band width adjustment (default: 2.7) Oscillator Multiplier: Scaling factor for oscillator values (default: 100) Signal Thresholds: Long Threshold: Bullish signal trigger level (default: 90) Short Threshold: Bearish signal trigger level (default: 56) 🎨 Advanced Visual System Main Chart Elements: Dynamic Shifting Bands: Upper and lower bands that automatically adjust width based on RSI momentum Adaptive Fill Zone: Color-coded area between bands showing current market state Basis Line: Moving average foundation displayed as subtle reference points Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback Oscillator Pane: Normalized RSI Oscillator: Main signal line centered around zero with dynamic coloring Threshold Lines: Horizontal reference lines for entry/exit levels Zero Line: Central reference for oscillator neutrality Color State Indication: Line colors change based on bullish/bearish conditions 📊 Professional Performance Metrics The built-in analytics suite provides institutional-grade performance measurement: Net Profit %: Total strategy return percentage Maximum Drawdown %: Worst peak-to-trough decline Win Rate %: Percentage of profitable trades Profit Factor: Ratio of gross profits to gross losses Sharpe Ratio: Risk-adjusted return measurement Sortino Ratio: Downside-focused risk adjustment Omega Ratio: Probability-weighted performance ratio Half Kelly %: Optimal position sizing recommendation Total Trades: Complete transaction count 🎯 Strategic Trading Applications Long/Short Mode: ⚡ Maximizes profit potential by capturing both upward and downward price movements. The dual RSI technology helps identify when momentum is strengthening or weakening, allowing for optimal position switches between long and short. Long/Cash Mode: 🛡️ Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions. 🚀 Unique Advantages Traditional Indicators vs RSI Shifting Bands: Static vs Dynamic: While most indicators use fixed parameters, RSI bands adapt in real-time Lagging vs Leading: Dual RSI detects momentum transitions before they fully manifest One-Size vs Adaptive: The same settings work across different market conditions Simple vs Intelligent: Advanced momentum analysis provides superior market insight 💡 Professional Setup Guide For Day Trading (Short-term): RSI Length: 10-12 RSI Smoothing: 15-18 Base Length: 25-30 Thresholds: Long 85, Short 60 For Swing Trading (Medium-term): RSI Length: 14-16 (default range) RSI Smoothing: 20-25 Base Length: 40-50 Thresholds: Long 90, Short 56 (defaults) For Position Trading (Long-term): RSI Length: 18-21 RSI Smoothing: 25-30 Base Length: 60-80 Thresholds: Long 92, Short 50 🧠 Advanced Trading Techniques RSI Divergence Analysis: Watch for divergences between price action and smoothed RSI readings. When price makes new highs/lows but RSI doesn't confirm, it often signals upcoming reversals. Band Width Interpretation: Expanding Bands: Increasing momentum, expect larger price moves Contracting Bands: Decreasing momentum, prepare for potential breakouts Band Touches: Price touching outer bands often signals reversal opportunities Multi-Timeframe Analysis: Use RSI oscillator on higher timeframes for trend direction and lower timeframes for precise entry timing. ⚠️ Important Risk Disclaimers Past performance is not indicative of future results. This indicator represents advanced technical analysis but should never be used as the sole basis for trading decisions. Critical Risk Factors: Market Conditions: No indicator performs equally well in all market environments Backtesting Limitations: Historical performance may not reflect future market behavior Momentum Risk: Adaptive indicators can be sensitive to extreme momentum conditions Parameter Sensitivity: Different settings may produce significantly different results Capital Risk: Always use appropriate position sizing and stop-loss protection 📚 Educational Benefits This indicator provides exceptional learning opportunities for understanding: Advanced RSI analysis and momentum measurement techniques Adaptive indicator design and implementation The relationship between momentum transitions and price movements Professional risk management using Kelly Criterion principles Modern oscillator interpretation and signal generation 🔍 Market Applications The RSI Shifting Band Oscillator works across various markets: Forex: Excellent for currency pair momentum analysis Stocks: Individual equity and index trading Commodities: Adaptive to commodity market momentum cycles Cryptocurrencies: Handles extreme momentum variations effectively Futures: Professional derivatives trading applications 🔧 Technical Innovation The RSI Shifting Band Oscillator represents years of research into adaptive technical analysis. The proprietary dual RSI calculation method has been optimized for: Computational Efficiency: Fast calculation even on high-frequency data Noise Reduction: Advanced smoothing without excessive lag Market Adaptability: Automatic adjustment to changing conditions Signal Clarity: Clear, actionable trading signals 🔔 Updates and Evolution The RSI Shifting Band Oscillator | QuantMAC continues to evolve with regular updates incorporating the latest research in adaptive technical analysis. The code is thoroughly documented for transparency and educational purposes. Trading Notice: Financial markets involve substantial risk of loss. The RSI Shifting Band Oscillator is a sophisticated technical analysis tool designed to assist in trading decisions but cannot guarantee profitable outcomes. --- Master The Markets With Adaptive Intelligence! 🎯📈
Pine Script® göstergesi
Quant_MAC tarafından
Linear Regression Channel Pro# Linear Regression Channel Pro - Script Description ## English Description ### What it does The **Linear Regression Channel Pro** is a technical analysis indicator that creates a statistical channel around price movements using linear regression mathematics. The script calculates the best-fit line through a specified number of price bars and then adds parallel boundaries based on standard deviation calculations. ### Key Features - **Main Regression Line**: Shows the statistical trend direction of the price over the selected period - **Channel Boundaries**: Upper and lower bands that contain most price movements (typically 95% when using 2.0 multiplier) - **Inner Boundaries**: Additional reference lines for more precise analysis - **Future Projection**: Extends all lines into the future to show potential price paths - **Customizable Parameters**: Adjustable period length, deviation multipliers, and projection distance ### How it works 1. **Data Collection**: Gathers price data over the specified regression length (default 400 bars) 2. **Linear Regression**: Calculates the mathematical best-fit line through the price data 3. **Standard Deviation**: Measures how much prices deviate from the regression line 4. **Channel Creation**: Creates parallel lines above and below the regression line 5. **Future Projection**: Extends the channel into the future using the same slope ### Statistical Foundation and Band Settings **The 68-95-99.7 Rule** The indicator is based on the statistical principle that in a normal distribution: - **1 Standard Deviation (σ)**: Contains approximately **68%** of price movements - **2 Standard Deviations (σ)**: Contains approximately **95%** of price movements - **3 Standard Deviations (σ)**: Contains approximately **99.7%** of price movements **Outer Bands (Default 2.0 Multiplier)** - **Coverage**: Approximately **95%** of price movements - **Meaning**: Only 5% of price action should exceed these bands - **Usage**: Identification of extreme overbought/oversold conditions - **Signal**: Touching outer bands often indicates potential reversal points **Inner Bands (Default 1.0 Multiplier)** - **Coverage**: Approximately **68%** of price movements - **Meaning**: 32% of movements can normally exceed these bands - **Usage**: Identification of significant but not extreme price moves - **Signal**: Breaking inner bands suggests meaningful directional movement ### Recommended Settings by Market Type **Standard Configuration** ``` - Outer Bands: 2.0 (95% coverage) - Inner Bands: 1.0 (68% coverage) ``` **High Volatility Markets (Crypto, Emerging Markets)** ``` - Outer Bands: 2.5-3.0 (99%+ coverage) - Inner Bands: 1.5 (85% coverage) ``` **Low Volatility Markets (Major Forex, Blue Chip Stocks)** ``` - Outer Bands: 1.5 (86% coverage) - Inner Bands: 0.5 (38% coverage) ``` ### Trading Applications **Trend Analysis** - The slope of the regression line indicates the overall trend direction - Steep slopes suggest strong trends, flat slopes suggest consolidation - Price above center line = bullish bias, below = bearish bias **Support and Resistance Levels** - **Inner bands**: Act as first level support/resistance (68% probability) - **Outer bands**: Act as strong support/resistance (95% probability) - **Dynamic levels**: Bands adjust automatically to market conditions **Entry and Exit Strategies** *Using Inner Bands (1.0σ):* - **Breakout signals**: Price breaking through inner bands with volume confirms direction - **Pullback entries**: Price returning to inner band after breakout offers entry opportunity - **Range trading**: Price oscillating between inner bands suggests consolidation *Using Outer Bands (2.0σ):* - **Reversal signals**: Price touching outer bands often indicates exhaustion - **Extreme conditions**: Only 5% of movements reach these levels - **Profit taking**: Consider closing positions when price reaches outer bands **Risk Management Applications** - **Stop Loss Placement**: Use opposite band as stop level (high probability of not being hit randomly) - **Position Sizing**: Wider channels = higher volatility = smaller position sizes - **Risk/Reward**: Measure potential moves using band distances **Future Planning with Projections** - **Target Setting**: Orange projection lines show potential future support/resistance - **Trade Duration**: Plan holding periods based on projected channel direction - **Market Timing**: Anticipate when price might reach significant levels ### Practical Trading Examples **Bullish Trend Scenario** 1. Price consistently above center line (trend confirmed) 2. Bounces from inner lower band = re-entry opportunity 3. Reaching outer upper band = consider profit taking 4. Break above outer upper band = potential trend acceleration **Range-Bound Market** 1. Price oscillates between inner bands = range trading mode 2. Sell near inner upper band, buy near inner lower band 3. Breakout from outer bands = range breakout signal **Bearish Trend Scenario** 1. Price consistently below center line (downtrend confirmed) 2. Bounces from inner upper band = short entry opportunity 3. Reaching outer lower band = potential oversold bounce 4. Break below outer lower band = trend continuation likely ### Best Practices and Tips - **Timeframe Selection**: Use higher timeframes (4H, Daily) for more reliable statistical significance - **Confirmation**: Combine with volume analysis and other indicators - **Market Adaptation**: Adjust multipliers based on asset volatility characteristics - **Regression Length**: Shorter periods (100-200) for reactive signals, longer (400-800) for stable trends - **False Breakouts**: Wait for close beyond bands rather than just touching - **Volume Confirmation**: Higher volume on band breakouts increases signal reliability --- ## Descrizione Italiana ### Cosa fa Il **Linear Regression Channel Pro** è un indicatore di analisi tecnica che crea un canale statistico intorno ai movimenti di prezzo utilizzando la matematica della regressione lineare. Lo script calcola la linea di miglior adattamento attraverso un numero specificato di barre di prezzo e aggiunge quindi confini paralleli basati sui calcoli della deviazione standard. ### Caratteristiche Principali - **Linea di Regressione Principale**: Mostra la direzione statistica del trend del prezzo nel periodo selezionato - **Confini del Canale**: Bande superiori e inferiori che contengono la maggior parte dei movimenti di prezzo (tipicamente il 95% usando il moltiplicatore 2.0) - **Confini Interni**: Linee di riferimento aggiuntive per un'analisi più precisa - **Proiezione Futura**: Estende tutte le linee nel futuro per mostrare potenziali percorsi di prezzo - **Parametri Personalizzabili**: Lunghezza del periodo, moltiplicatori di deviazione e distanza di proiezione regolabili ### Come Funziona 1. **Raccolta Dati**: Raccoglie i dati di prezzo per la lunghezza di regressione specificata (default 400 barre) 2. **Regressione Lineare**: Calcola matematicamente la linea di miglior adattamento attraverso i dati di prezzo 3. **Deviazione Standard**: Misura quanto i prezzi si discostano dalla linea di regressione 4. **Creazione del Canale**: Crea linee parallele sopra e sotto la linea di regressione 5. **Proiezione Futura**: Estende il canale nel futuro usando la stessa pendenza ### Fondamenti Statistici e Impostazione delle Bande **La Regola 68-95-99.7** L'indicatore si basa sul principio statistico che in una distribuzione normale: - **1 Deviazione Standard (σ)**: Contiene circa il **68%** dei movimenti di prezzo - **2 Deviazioni Standard (σ)**: Contiene circa il **95%** dei movimenti di prezzo - **3 Deviazioni Standard (σ)**: Contiene circa il **99.7%** dei movimenti di prezzo **Bande Esterne (Moltiplicatore Default 2.0)** - **Copertura**: Circa il **95%** dei movimenti di prezzo - **Significato**: Solo il 5% dell'azione di prezzo dovrebbe superare queste bande - **Utilizzo**: Identificazione di condizioni estreme di ipercomprato/ipervenduto - **Segnale**: Il tocco delle bande esterne spesso indica potenziali punti di inversione **Bande Interne (Moltiplicatore Default 1.0)** - **Copertura**: Circa il **68%** dei movimenti di prezzo - **Significato**: Il 32% dei movimenti può normalmente superare queste bande - **Utilizzo**: Identificazione di movimenti di prezzo significativi ma non estremi - **Segnale**: La rottura delle bande interne suggerisce un movimento direzionale significativo ### Impostazioni Raccomandate per Tipo di Mercato **Configurazione Standard** ``` - Bande Esterne: 2.0 (copertura 95%) - Bande Interne: 1.0 (copertura 68%) ``` **Mercati ad Alta Volatilità (Crypto, Mercati Emergenti)** ``` - Bande Esterne: 2.5-3.0 (copertura 99%+) - Bande Interne: 1.5 (copertura 85%) ``` **Mercati a Bassa Volatilità (Forex Maggiori, Azioni Blue Chip)** ``` - Bande Esterne: 1.5 (copertura 86%) - Bande Interne: 0.5 (copertura 38%) ``` ### Applicazioni nel Trading **Analisi del Trend** - La pendenza della linea di regressione indica la direzione generale del trend - Pendenze ripide suggeriscono trend forti, pendenze piatte suggeriscono consolidamento - Prezzo sopra la linea centrale = bias rialzista, sotto = bias ribassista **Livelli di Supporto e Resistenza** - **Bande interne**: Agiscono come supporto/resistenza di primo livello (probabilità 68%) - **Bande esterne**: Agiscono come supporto/resistenza forte (probabilità 95%) - **Livelli dinamici**: Le bande si adattano automaticamente alle condizioni di mercato **Strategie di Entrata e Uscita** *Usando le Bande Interne (1.0σ):* - **Segnali di breakout**: Il prezzo che rompe le bande interne con volume conferma la direzione - **Entrate su pullback**: Il prezzo che ritorna alla banda interna dopo un breakout offre opportunità di entrata - **Range trading**: Il prezzo che oscilla tra bande interne suggerisce consolidamento *Usando le Bande Esterne (2.0σ):* - **Segnali di inversione**: Il prezzo che tocca le bande esterne spesso indica esaurimento - **Condizioni estreme**: Solo il 5% dei movimenti raggiunge questi livelli - **Presa di profitto**: Considera di chiudere posizioni quando il prezzo raggiunge le bande esterne **Applicazioni di Gestione del Rischio** - **Posizionamento Stop Loss**: Usa la banda opposta come livello di stop (alta probabilità di non essere colpito casualmente) - **Dimensionamento Posizioni**: Canali più larghi = volatilità maggiore = posizioni più piccole - **Rischio/Rendimento**: Misura i movimenti potenziali usando le distanze delle bande **Pianificazione Futura con Proiezioni** - **Impostazione Target**: Le linee di proiezione arancioni mostrano potenziali supporti/resistenze futuri - **Durata del Trade**: Pianifica i periodi di detenzione basandoti sulla direzione del canale proiettato - **Timing di Mercato**: Anticipa quando il prezzo potrebbe raggiungere livelli significativi ### Esempi Pratici di Trading **Scenario Trend Rialzista** 1. Prezzo costantemente sopra la linea centrale (trend confermato) 2. Rimbalzi dalla banda interna inferiore = opportunità di re-entrata 3. Raggiungimento banda esterna superiore = considera presa di profitto 4. Rottura sopra banda esterna superiore = potenziale accelerazione del trend **Mercato in Range** 1. Prezzo oscilla tra bande interne = modalità range trading 2. Vendi vicino alla banda interna superiore, compra vicino a quella inferiore 3. Breakout dalle bande esterne = segnale di rottura del range **Scenario Trend Ribassista** 1. Prezzo costantemente sotto la linea centrale (downtrend confermato) 2. Rimbalzi dalla banda interna superiore = opportunità di short 3. Raggiungimento banda esterna inferiore = potenziale rimbalzo da ipervenduto 4. Rottura sotto banda esterna inferiore = probabile continuazione del trend ### Migliori Pratiche e Consigli - **Selezione Timeframe**: Usa timeframe più alti (4H, Giornaliero) per maggiore significatività statistica - **Conferma**: Combina con analisi del volume e altri indicatori - **Adattamento al Mercato**: Regola i moltiplicatori in base alle caratteristiche di volatilità dell'asset - **Lunghezza Regressione**: Periodi più corti (100-200) per segnali reattivi, più lunghi (400-800) per trend stabili - **Falsi Breakout**: Aspetta la chiusura oltre le bande piuttosto che solo il tocco - **Conferma del Volume**: Volume più alto sui breakout delle bande aumenta l'affidabilità del segnale
Pine Script® göstergesi
Egoio88 tarafından
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA) Overview The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets. Key Features Stochastic RSI Calculation Computes a standard RSI over a user-defined period (default 50). Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50). Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3). Defines oversold when both %K and %D are below 20, and overbought when both are above 80. Triple EMA (TEMA) Calculates three successive EMAs on the closing price with the same length (default 9). Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line. Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal. Signal Logic Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend. Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50. Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish). Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish. Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50. Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish). Visual Elements on Chart TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization. Buy/Sell Markers: BUY STRONG: Lime label below the candle BUY MEDIUM: Green triangle below the candle BUY WEAK: Semi-transparent green circle below the candle SELL STRONG: Red label above the candle SELL MEDIUM: Orange triangle above the candle SELL WEAK: Semi-transparent orange circle above the candle Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell). Dynamic Support/Resistance: On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker. On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker. Alerts Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish. Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish. General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish. General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish. Inputs Stochastic RSI Settings (group “Stochastic RSI”): K (smoothK): Period length for smoothing the %K line (default 3, minimum 1) D (smoothD): Period length for smoothing the %D line (default 3, minimum 1) RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1) Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1) RSI Source (src): Price source for the RSI (default = close) TEMA Settings (group “Triple EMA”): TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1) How to Use Add the Script Copy and paste the indicator code into TradingView’s Pine Editor (version 6). Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).” Adjust Inputs Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading). Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument. Modify TEMA Length if you prefer a faster or slower moving average response. Interpret Signals Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend. Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum. Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders. Set Alerts Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”). Configure notifications (popup, email, webhook) according to your trading workflow. Notes & Best Practices Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out. Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes. Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends. Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument. No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals). Author: Your Name or Username Version: 1.0 (Pine Script v6) Published: June 2025 Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Pine Script® göstergesi
MustangAlgo tarafından
Options Risk Manager v2.2.0 - Priority 7 CompleteScript Description for TradingView Publication Options Risk Manager v2.2.0 - Priority 7 Complete What does this script do? Options Risk Manager v2.2.0 is a comprehensive position management system designed specifically for options traders. The indicator calculates precise stop loss levels, risk/reward targets, and position sizing based on user-defined risk parameters. It provides real-time profit/loss tracking, options Greeks monitoring, and automated alert systems for critical price levels. The script displays entry points, stop losses, and profit targets directly on the chart while continuously calculating position metrics including dollar risk, account exposure, and probability of success. Version 2.2.0 introduces Priority 7 advanced alerts with dynamic risk warnings and multi-condition notifications. How does it do it? The script performs several key calculations: 1. Risk-Based Stop Loss Calculation - Determines stop loss levels based on percentage of entry price, automatically adjusting for calls versus puts. Put positions place stops above entry, while calls place stops below. 2. Position Sizing Algorithm - Calculates optimal contract quantities using account size, risk percentage, and stop distance to ensure consistent risk per trade regardless of underlying price. 3. Options-Specific P&L Tracking - Incorporates Delta, Gamma, Vega, and Theta to provide accurate profit/loss calculations for options positions, including time decay effects. 4. Three-Phase Trade Management - Implements systematic position management through Entry Phase (initial risk), Profit Phase (approaching target), and Trailing Phase (EMA-based exit management). 5. Multi-Level Alert System - Monitors price action, Greeks thresholds, time decay acceleration, and account risk levels to generate context-aware notifications. How to use it? Initial Setup: 1. Apply indicator to any optionable security 2. Toggle "In Position" ON when entering a trade 3. Set Direction (Call/Put) and Side (Long/Short) 4. Enter the underlying price at position entry 5. Specify number of contracts and risk percentage Position Management: Blue line shows entry price Red line indicates stop loss level Orange line displays risk/reward target Purple EMA line activates after target hit Monitor real-time P&L in trade panels Alert Configuration: Enable Advanced Alerts in settings Set profit/loss notification thresholds Configure Greek-based warnings Activate time decay alerts for expiration Risk Parameters: Risk % determines stop distance from entry Account Value sets position sizing limits Contract Multiplier (standard = 100) R:R Ratio defines profit targets What makes it unique? Options Risk Manager addresses the specific challenges of options trading that generic indicators miss. The script accounts for the inverse relationship in put options (profiting from price declines), incorporates Greeks for accurate P&L calculations, and provides options-specific limit orders for TradeStation integration. The three-phase management system removes emotional decision-making by defining clear rules for position management. Phase transitions occur automatically based on price action, shifting from initial risk management to profit protection to trend-following modes. Version 2.2.0's Priority 7 alert system provides intelligent notifications that include live metrics, risk warnings, and market context rather than simple price crosses. Key Features Summary Options-Specific Calculations - Proper handling of calls/puts with inverse relationships Risk-Based Position Sizing - Consistent risk regardless of underlying price Greeks Integration - Delta, Gamma, Vega, Theta for accurate tracking Phase Management System - Systematic three-stage position handling Advanced Alert System - Context-aware notifications with metrics TradeStation Integration - Option limit orders for execution Visual Risk Display - Clear chart overlays for all levels Probability Calculator - Win/loss probability with expected value Multi-Account Support - Scales from small to large accounts Important Notes This indicator requires manual input of option prices and Greeks (available from your broker's option chain). It functions as a risk management overlay and does not generate entry signals. The calculations assume standard options contracts of 100 shares. Designed for TradeStation platform with full functionality. Basic features available on other platforms without options data integration. Always verify calculations with your broker's risk system before placing trades.
Pine Script® göstergesi
patrickamp tarafından
MÈGAS ALGO : MÈGAS Signals [INDICATOR]Overview The MÈGAS Signals is a cutting-edge, multi-functional trading tool designed for advanced traders seeking to identify high-probability trade setups. This script combines price action analysis, machine learning techniques, and real-time signal generation across multiple timeframes to provide actionable insights. The indicator is optimized for both bullish and bearish market conditions and includes features like backtesting metrics, take-profit tools, and customizable alerts. Key Features 1. Machine Learning and Statistical Clustering The script implements the K-Means clustering algorithm , a widely used unsupervised machine learning technique, to segment historical price movements into distinct clusters based on magnitude and distribution characteristics. These clusters represent quantized levels of bullish and bearish momentum, enabling the system to adaptively model market behavior across varying volatility regimes. By applying this statistical clustering approach to real-time price data, the algorithm dynamically identifies meaningful thresholds for key Smart Money Concepts (SMC) such as Break of Structure (BOS) and Change of Character (CHOCH) . This integration enhances classical SMC logic with a data-driven, self-adjusting mechanism that responds to evolving market conditions, effectively bridging traditional price action analysis with modern machine learning methodologies. 2.Multi-Timeframe Table: A dynamic, real-time multi-timeframe table displayed on the chart that provides at-a-glance insight into: -Current trend or signal status per timeframe -Percentage price change relative to the previous bar -Countdown to the next bar open , updated every second This table empowers traders with cross-timeframe context , helping them identify confluence, reversals, or divergences across multiple horizons — from scalping (1m) to long-term trends (1D). 3.Dynamic Trailing Stops with Enhanced Visualization The dynamic trailing stop mechanism adjusts based on volatility clusters, ensuring tighter risk management during low-volatility periods and wider stops during high-volatility phases. The feed speed feature enhances visualization by adjusting the transparency of candle coloring relative to the trailing stop. This makes it easier to interpret trend strength and momentum, allowing traders to stay ahead of price action. 4.Customizable Alerts for Seamless Execution Sublimia Signals offers highly customizable alerts that can be tailored to specific timeframes and trading preferences. With the intra-bar calculation feature, alerts can be triggered on every tick rather than just on bar close, empowering traders to act swiftly in fast-moving markets. Personalized alert messages allow you to create clear and concise notifications for entry and exit points, streamlining your trading workflow. 5.Comprehensive Backtesting Metrics The built-in performance metrics table provides detailed backtesting results, including total trades, win rates, cumulative profit/loss, profit factor, best profit, and worst loss for both long and short positions. These metrics enable traders to evaluate the effectiveness of their strategies and optimize input parameters for better performance. 6.Non-Standard Candle Integration for Smoother Price Action Analysis The optional Non-Standard Candle toggle allows users to switch between "Traditional", "Heikin-Ashi", "Volume-Weighted" and "Hybrid" candles. This feature is particularly useful for identifying trends and filtering out market noise, while backtesting remains based on normal candles to ensure accuracy. 7.Intra-Bar Calculation for Granular Insights When enabled, the intra-bar calculation feature provides granular insights into price movements within each bar, offering traders a deeper understanding of market dynamics. This feature also modifies the algorithm's logic, triggering alerts on every tick rather than just on bar close, making it ideal for scalpers and day traders who need ultra-responsive tools. 8.Take-Profit/Trailing-Profit Tools: Precision and Flexibility This feature allows you to set multiple profit levels with customizable percentage distances, giving you unparalleled control over your trades. Selectable Type of exit mode : Take-Profit or Trailing-Profit. Selectable Number of Profit Levels: Define as many profit targets as you need, ensuring you can capture profits at different stages of price movement. Percentage-Based Distance: Set each profit level based on a percentage distance from your entry point. This ensures precise positioning tailored to your risk-reward preferences. Integrated Alerts: Never miss an opportunity! The tool includes built-in alerts that notify you when each take-profit level is reached, keeping you informed in real-time. 9.Optimized Visualization The script ensures optimized visualization of trend strength through smooth transitions in candle transparency, making it easier to interpret market momentum. The feed speed parameter calculates how quickly the candle coloring adjusts relative to the trailing stop, enhancing clarity and decision-making. How it work Identify the Primary Trend Using Multi-Timeframe Analysis : Focus on Higher Timeframes : Start by analyzing the 4h, 8h, or 24h timeframes to determine the primary trend. These higher timeframes provide a clearer picture of long-term momentum. The built-in table provides real-time updates across all primarly timeframes. Look for confluence—when multiple timeframes align in the same direction. Confirm Entry Points Using Lower Timeframes : Fine-Tune Entries with Shorter Timeframes : Once you’ve identified the primary trend, use lower timeframes (e.g., 1m, 5m, or 15m ) to confirm entry points. Set Take-Profit Levels Based on Percentage Distances : Customizable Take-Profit Tools : Use the take-profit feature to set multiple levels based on percentage distances from your entry point. Use Customizable Alerts for Real-Time Updates : Enable alerts for specific timeframes (e.g., 4h, 8h, 15m) to stay informed about changes in the primary trend or short-term opportunities. For fast-moving markets, enable the intra-bar calculation feature to receive alerts on every tick, ensuring you don’t miss critical entries or exits. Backtesting for Strategy Optimization : Performance Metrics : Use the backtesting metrics table to evaluate how well your trend-following strategy performs over time. Analyze win rates, profit factor, and best/worst trades to refine your approach. Adjust Inputs : Fine-tune settings like slippage and commission(%) to optimize the indicator for your prefer pair. Please Note: This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions. The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Pine Script® göstergesi
MEGAS_ALGO tarafından
RTI Shifting Band Oscillator | QuantMAC📊 RTI Shifting Band Oscillator | QuantMAC - Revolutionary Adaptive Trading Indicator 🎯 Overview The RTI Shifting Band Oscillator represents a breakthrough in adaptive technical analysis, combining the innovative Range Transition Index (RTI) with dynamic volatility bands to create an oscillator that automatically adjusts to changing market conditions. This cutting-edge indicator goes beyond traditional static approaches by using RTI to dynamically shift band width based on market volatility transitions, providing superior signal accuracy across different market regimes. 🔧 Key Features Revolutionary RTI Technology : Proprietary Range Transition Index that measures volatility transitions in real-time Dynamic Adaptive Bands : Self-adjusting volatility bands that expand and contract based on RTI readings Dual Trading Modes : Flexible Long/Short or Long/Cash strategies for different trading preferences Advanced Performance Analytics : Comprehensive metrics including Sharpe, Sortino, and Omega ratios Smart Visual System : Dynamic color coding with 9 professional color schemes Precision Backtesting : Date range filtering with detailed historical performance analysis Real-time Signal Generation : Clear entry/exit signals with customizable threshold sensitivity Position Sizing Intelligence : Half Kelly criterion for optimal risk management 📈 How The RTI Technology Works The Range Transition Index (RTI) is the heart of this indicator's innovation. Unlike traditional volatility measures, RTI analyzes the transitions between different volatility states, providing early warning signals for market regime changes. RTI Calculation Process: Calculate True Range for each period using high, low, and previous close Compute Average True Range over the RTI Length period Sum absolute differences between consecutive True Range values Normalize by dividing by ATR to create the raw RTI Apply smoothing to reduce noise and create the final RTI value Use RTI to dynamically adjust standard deviation multipliers The genius of RTI lies in its ability to detect when markets are transitioning between calm and volatile periods before traditional indicators catch up. This provides traders with a significant edge in timing entries and exits. ⚙️ Comprehensive Parameter Control RTI Settings: RTI Length : Controls the lookback period for volatility analysis (default: 25) RTI Smoothing : Reduces noise in RTI calculations (default: 12) Base MA Length : Foundation moving average for band calculations (default: 40) Source : Price input selection (close, open, high, low, etc.) Oscillator Settings: Standard Deviation Length : Period for volatility measurement (default: 27) SD Multiplier : Base band width adjustment (default: 1.5) Oscillator Multiplier : Scaling factor for oscillator values (default: 100) Signal Thresholds: Long Threshold : Bullish signal trigger level (default: 82) Short Threshold : Bearish signal trigger level (default: 55) 🎨 Advanced Visual System Main Chart Elements: Dynamic Shifting Bands : Upper and lower bands that automatically adjust width based on RTI Adaptive Fill Zone : Color-coded area between bands showing current market state Basis Line : Moving average foundation displayed as subtle reference points Smart Bar Coloring : Candles change color based on oscillator state for instant visual feedback Oscillator Pane: Normalized RTI Oscillator : Main signal line centered around zero with dynamic coloring Threshold Lines : Horizontal reference lines for entry/exit levels Zero Line : Central reference for oscillator neutrality Color State Indication : Line colors change based on bullish/bearish conditions 📊 Professional Performance Metrics The built-in analytics suite provides institutional-grade performance measurement: Net Profit % : Total strategy return percentage Maximum Drawdown % : Worst peak-to-trough decline Win Rate % : Percentage of profitable trades Profit Factor : Ratio of gross profits to gross losses Sharpe Ratio : Risk-adjusted return measurement Sortino Ratio : Downside-focused risk adjustment Omega Ratio : Probability-weighted performance ratio Half Kelly % : Optimal position sizing recommendation Total Trades : Complete transaction count 🎯 Strategic Trading Applications Long/Short Mode: ⚡ Maximizes profit potential by capturing both upward and downward price movements. The RTI technology helps identify when trends are strengthening or weakening, allowing for optimal position switches between long and short. Long/Cash Mode: 🛡️ Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions. 🚀 Unique Advantages Traditional Indicators vs RTI Shifting Bands: Static vs Dynamic : While most indicators use fixed parameters, RTI bands adapt in real-time Lagging vs Leading : RTI detects volatility transitions before they fully manifest One-Size vs Adaptive : The same settings work across different market conditions Simple vs Intelligent : Advanced volatility analysis provides superior market insight 💡 Professional Setup Guide For Day Trading (Short-term): RTI Length: 15-20 RTI Smoothing: 8-10 Base MA Length: 20-30 Thresholds: Long 80, Short 60 For Swing Trading (Medium-term): RTI Length: 25-35 (default range) RTI Smoothing: 12-15 Base MA Length: 40-50 Thresholds: Long 83, Short 55 (defaults) For Position Trading (Long-term): RTI Length: 40-50 RTI Smoothing: 15-20 Base MA Length: 60-80 Thresholds: Long 85, Short 50 🧠 Advanced Trading Techniques RTI Divergence Analysis: Watch for divergences between price action and RTI readings. When price makes new highs/lows but RTI doesn't confirm, it often signals upcoming reversals. Band Width Interpretation: Expanding Bands : Increasing volatility, expect larger price moves Contracting Bands : Decreasing volatility, prepare for potential breakouts Band Touches : Price touching outer bands often signals reversal opportunities Multi-Timeframe Analysis: Use RTI on higher timeframes for trend direction and lower timeframes for precise entry timing. ⚠️ Important Risk Disclaimers Past performance is not indicative of future results. This indicator represents advanced technical analysis but should never be used as the sole basis for trading decisions. Critical Risk Factors: Market Conditions : No indicator performs equally well in all market environments Backtesting Limitations : Historical performance may not reflect future market behavior Volatility Risk : Adaptive indicators can be sensitive to extreme market conditions Parameter Sensitivity : Different settings may produce significantly different results Capital Risk : Always use appropriate position sizing and stop-loss protection 📚 Educational Benefits This indicator provides exceptional learning opportunities for understanding: Advanced volatility analysis and measurement techniques Adaptive indicator design and implementation The relationship between volatility transitions and price movements Professional risk management using Kelly Criterion principles Modern oscillator interpretation and signal generation 🔍 Market Applications The RTI Shifting Band Oscillator works across various markets: Forex : Excellent for currency pair volatility analysis Stocks : Individual equity and index trading Commodities : Adaptive to commodity market volatility cycles Cryptocurrencies : Handles extreme volatility variations effectively Futures : Professional derivatives trading applications 🔧 Technical Innovation The RTI Shifting Band Oscillator represents years of research into adaptive technical analysis. The proprietary RTI calculation method has been optimized for: Computational Efficiency : Fast calculation even on high-frequency data Noise Reduction : Advanced smoothing without excessive lag Market Adaptability : Automatic adjustment to changing conditions Signal Clarity : Clear, actionable trading signals 🔔 Updates and Evolution The RTI Shifting Band Oscillator | QuantMAC continues to evolve with regular updates incorporating the latest research in adaptive technical analysis. The code is thoroughly documented for transparency and educational purposes. Trading Notice: Financial markets involve substantial risk of loss. The RTI Shifting Band Oscillator is a sophisticated technical analysis tool designed to assist in trading decisions but cannot guarantee profitable outcomes. Always conduct thorough testing, implement proper risk management, and consider seeking advice from qualified financial professionals. Only trade with capital you can afford to lose. --- Master The Markets With Adaptive Intelligence! 🎯📈
Pine Script® göstergesi
Quant_MAC tarafından
Dr.Avinash Talele quarterly earnings, VCP and multibagger trakerDr. Avinash Talele Quarterly Earnings, VCP and Multibagger Tracker. 📊 Comprehensive Quarterly Analysis Tool for Multibagger Stock Discovery This advanced Pine Script indicator provides a complete financial snapshot directly on your chart, designed to help traders and investors identify potential multibagger stocks and VCP (Volatility Contraction Pattern) setups with precision. 🎯 Key Features: 📈 8-Quarter Financial Data Display: EPS (Earnings Per Share) - Track profitability trends Sales Revenue - Monitor business growth QoQ% (Quarter-over-Quarter Growth) - Spot acceleration/deceleration ROE (Return on Equity) - Assess management efficiency OPM (Operating Profit Margin) - Evaluate operational excellence 💰 Market Metrics: Market Cap - Current company valuation P/E Ratio - Valuation assessment Free Float - Liquidity indicator 📊 Technical Positioning: % Down from 52-Week High - Identify potential bottoming patterns % Up from 52-Week Low - Track momentum from lows Turnover Data (1D & 50D Average) - Volume analysis ADR% (Average Daily Range) - Volatility measurement Relative Volume% - Institutional interest indicator 🚀 How It Helps Find Multibaggers: 1. Growth Acceleration Detection: Consistent EPS Growth: Identifies companies with accelerating earnings Revenue Momentum: Tracks sales growth patterns quarter-over-quarter Margin Expansion: Spots improving operational efficiency through OPM trends 2. VCP Pattern Recognition: Volatility Contraction: ADR% helps identify tightening price ranges Volume Analysis: Relative volume shows institutional accumulation Distance from Highs: Tracks healthy pullbacks in uptrends 3. Fundamental Strength Validation: ROE Trends: Ensures management is efficiently using shareholder capital Debt-Free Growth: High ROE with growing margins indicates quality growth Scalability: Revenue growth vs. margin expansion analysis 4. Entry Timing Optimization: 52-Week Positioning: Enter near lows, avoid near highs Volume Confirmation: High relative volume confirms breakout potential Valuation Check: P/E ratio helps avoid overvalued entries 💡 Multibagger Characteristics to Look For: ✅ Consistent 15-20%+ EPS growth across multiple quarters ✅ Accelerating revenue growth with QoQ% improvements ✅ ROE above 15% and expanding ✅ Operating margins improving over time ✅ Low debt (indicated by high ROE with growing profits) ✅ Strong cash generation (reflected in consistent growth metrics) ✅ 20-40% down from 52-week highs (ideal entry zones) ✅ Above-average volume during consolidation phases 🎨 Visual Design: Clean white table with black borders for maximum readability Color-coded QoQ% changes (Green = Growth, Red = Decline) Centered positioning for easy chart analysis 8-quarter historical view for trend identification 📋 Perfect For: Long-term investors seeking multibagger opportunities Growth stock enthusiasts tracking earnings acceleration VCP pattern traders looking for breakout candidates Fundamental analysts requiring quick financial snapshots Swing traders timing entries in growth stocks ⚡ Quick Setup: Simply add the indicator to any NSE/BSE stock chart and instantly view comprehensive quarterly data. The table updates automatically with the latest financial information, making it perfect for screening and monitoring your watchlist. 🔍 Start identifying your next multibagger today with this powerful combination of fundamental analysis and technical positioning data! Disclaimer: This indicator is for educational and analysis purposes. Always conduct thorough research and consider risk management before making investment decisions.
Pine Script® göstergesi
dravinashmedicaloncology tarafından
Palgo Trading - Palgo🎯THE PALGO INDICATOR The "Palgo Trading - Palgo" indicator, developed by PALGOTRADING is a sophisticated technical analysis tool designed to identify potential buy and sell signals by combining trend analysis with momentum and optional AI-driven sentiment assessment. This indicator provides a clear visual representation of potential trading opportunities directly on the price chart. At its core, the Palgo indicator synthesizes information from well-established technical analysis concepts with statistical functions, and has optional AI Integration for social analysis of the asset using external data : Supertrend: This indicator identifies the prevailing trend direction. A positive Supertrend value suggests an upward trend, while a negative value indicates a downward trend. The Palgo indicator utilizes a Supertrend with a customizable multiplier and a user-configurable Average True Range (ATR) length (defaulting to 21). 🛜Signal Generation Logic The indicator generates buy and sell signals based on a calculated "final direction" value. This value is derived by combining the Supertrend direction and a modified RSI. The modification involves scaling the RSI output to a range of -0.5 to 0.5 and then further adjusting it. The buy and sell conditions are as follows: Buy Signal: A buy signal is triggered when the "final direction" crosses above a positive activation threshold while the current signal is not already bullish. Upon signal generation, a "Buy" label (colored green) appears below the bar, and initial Take Profit (TP) and Stop Loss (SL) levels are calculated and stored. Sell Signal: Conversely, a sell signal is triggered when the "final direction" crosses below a negative activation threshold while the current signal is not already bearish. A "Sell" label (colored red) is plotted above the bar, and corresponding TP and SL levels are determined. ✅ Optimized Take-Profit / Stop-Loss The Take-Profit (TP) & Stop-Loss (SL) signals are optimized with Kernel Density Estimation (KDE), the script uses KDE activated by gaussian function on previous pivot points and trains the model, then tries to estimate new pivot points early, to determine new TP / SL levels for the current signal. Kernel Density Estimation takes values of the previous confirmed pivots' RSI values, body size & more factors to determine their role. This indicator can generate up to 5 TP signals per signal. 📈 Signal Trail Palgo also includes a "Signal Trail" that visually shows the market's momentum. This trail is like a dynamic line that follows the price. When the market is in an uptrend and looking strong, you'll see a green trail. When it's in a downtrend and looking weak, you'll see a red trail. This trail helps you see if the market is currently aligned with Palgo's bullish (buy) or bearish (sell) signal. It also acts as a visual guide for potential support or resistance levels. 📊Backtesting Dashboard The Palgo indicator includes an optional Backtesting Dashboard to help you understand its historical performance. This dashboard appears directly on your chart and provides a quick summary of how the indicator's signals have performed in the past. Here's what you'll see on the dashboard: Sensitivity: This shows the specific "Sensitivity" setting you've chosen for the indicator. This setting influences how often signals are generated. Wins: This number tells you how many trades initiated by the Palgo indicator historically ended in profit (reached a Take-Profit target or closed profitably when the signal reversed). Loss: This number indicates how many trades historically ended in a loss (hit the Stop-Loss). Winrate: This is a very important metric, displayed as a percentage. It shows you the proportion of winning trades compared to the total number of trades (Wins / (Wins + Loss)). A higher winrate generally suggests a more effective strategy. This dashboard is a valuable tool for reviewing the indicator's effectiveness with different settings and helping you make informed decisions about its use in your trading. 🤖AI Integration (Optional): A unique feature of the Palgo indicator is the optional integration of Artificial Intelligence (AI) sentiment analysis. When the "Use AI" input is enabled, the indicator incorporates two additional user-defined inputs: Impression Change %: This input represents the percentage change in overall market sentiment as assessed by an external AI. Positivity Change: This input reflects the change in positive sentiment, also provided by an AI. These AI inputs are combined to create an "AI Score," which then influences the "final direction" calculation. A positive AI Score amplifies the bullish signals and dampens bearish signals, while a negative AI Score has the opposite effect. ❓Why PALGO ? All-in-One Analysis: Palgo combines trend, momentum, and advanced statistical analysis into one easy-to-use tool, giving you a complete picture without needing multiple indicators. Dynamic Profit & Loss Management: Unlike many tools with fixed targets, Palgo's smart profit and stop-loss system adapts to the market using KDE. This helps you potentially capture more gains and limit losses effectively. Optional AI Insights: For an extra edge, Palgo can tap into Artificial Intelligence (AI) to gauge overall market mood. If the AI sees a lot of positive buzz, it can strengthen buy signals; if it's negative, it can reinforce sell signals. This helps you trade with a better understanding of the market's pulse. Clear and Customizable: Palgo is designed to be very visual. It changes the color of the price bars, adds clear "Buy" or "Sell" labels, and marks your profit and stop-loss points. You can also change the colors to suit your preference. Palgo aims to be a comprehensive and adaptable trading tool, giving you clearer insights. ⚙️Visualizations and Customization The Palgo indicator offers several visual cues to aid traders: Bar Coloring: The price bars are colored green when the indicator identifies a bullish signal and red during a bearish signal. Signal Labels: Clear "Buy" and "Sell" labels are plotted at the signal generation points. Take Profit and Stop Loss Markers: Distinct shapes and labels indicate when the price reaches the calculated TP and SL levels. Style Options: Users can customize the colors for bullish and bearish bars, text, and TP/SL markers within the indicator's settings.
Pine Script® göstergesi
PalgoTrading tarafından
2
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯 Key benefits encompass: • Comprehensive calculation of midpoints and average prices indicating short-term trend directions. • Interactive visualization elements enhancing interpretability effortlessly. • Real-time generation of buy/sell signals driven by precise condition evaluations. TECHNICAL ANALYSIS COMPONENTS 📉 Midpoint Calculations: Computes central reference points derived from high-low ranges establishing baseline supports/resistances. Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately. Facilitates identification of directional biases reflecting underlying market forces dynamically. 🕵️‍♂️ Advanced Price Level Detection: Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly. Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively. Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly. 🎥 Dynamic Signal Generation: Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts. Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically. Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios. INDICATOR FUNCTIONALITY 🔢 Core Algorithms: Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements. Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability. Ensures consistent alignment with established statistical principles preserving fidelity. 🖱️ User Interface Elements: Dedicated plots displaying real-time midpoint markers facilitating swift decision-making. Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly. Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly. STRATEGY IMPLEMENTATION ✅ Entry Conditions: Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors. Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence. Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently. 🚫 Exit Mechanisms: Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures. Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently. Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily. PARAMETER CONFIGURATIONS 🎯 Optimization Guidelines: Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity. Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly. 💬 Customization Recommendations: Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions. Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently. ADVANCED RISK MANAGEMENT 🛡️ Proactive Risk Mitigation Techniques: Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently. Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences. Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily. ⚠️ Potential Pitfalls & Solutions: Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively. Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably. Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly. PERFORMANCE MONITORING METRICS 🔍 Evaluation Criteria: Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes. Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements. 📈 Historical Data Analysis Tools: Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively. Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently. PROBLEM SOLVING ADVICE 🔧 Frequent Encountered Challenges: Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively. Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably. 💡 Effective Resolution Pathways: Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently. Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements. THANKS Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
Pine Script® göstergesi
blackcat1402 tarafından
[blackcat] L1 Net Volume DifferenceOVERVIEW The L1 Net Volume Difference indicator serves as an advanced analytical tool designed to provide traders with deep insights into market sentiment by examining the differential between buying and selling volumes over precise timeframes. By leveraging these volume dynamics, it helps identify trends and potential reversal points more accurately, thereby supporting well-informed decision-making processes. The key focus lies in dissecting intraday changes that reflect short-term market behavior, offering critical input for both swing and day traders alike. 📊 Key benefits encompass: • Precise calculation of net volume differences grounded in real-time data. • Interactive visualization elements enhancing interpretability effortlessly. • Real-time generation of buy/sell signals driven by dynamic volume shifts. TECHNICAL ANALYSIS COMPONENTS 📉 Volume Accumulation Mechanisms: Monitors cumulative buy/sell volumes derived from comparative closing prices. Periodically resets accumulation counters aligning with predefined intervals (e.g., 5-minute bars). Facilitates identification of directional biases reflecting underlying market forces accurately. 🕵️‍♂️ Sentiment Detection Algorithms: Employs proprietary logic distinguishing between bullish/bearish sentiments dynamically. Ensures consistent adherence to predefined statistical protocols maintaining accuracy. Supports adaptive thresholds adjusting sensitivities based on changing market conditions flexibly. 🎯 Dynamic Signal Generation: Detects transitions indicating dominance shifts between buyers/sellers promptly. Triggers timely alerts enabling swift reactions to evolving market dynamics effectively. Integrates conditional logic reinforcing signal validity minimizing erroneous activations. INDICATOR FUNCTIONALITY 🔢 Core Algorithms: Utilizes moving averages along with standardized deviation formulas generating precise net volume measurements. Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability. Ensures consistent alignment with established statistical principles preserving fidelity. 🖱️ User Interface Elements: Dedicated plots displaying real-time net volume markers facilitating swift decision-making. Context-sensitive color coding distinguishing positive/negative deviations intuitively. Background shading highlighting proximity to key threshold activations enhancing visibility. STRATEGY IMPLEMENTATION ✅ Entry Conditions: Confirm bullish/bearish setups validated through multiple confirmatory signals. Validate entry decisions considering concurrent market sentiment factors. Assess alignment between net volume readings and broader trend directions ensuring coherence. 🚫 Exit Mechanisms: Trigger exits upon hitting predetermined thresholds derived from historical analyses. Monitor continuous breaches signifying potential trend reversals promptly executing closures. Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently. PARAMETER CONFIGURATIONS 🎯 Optimization Guidelines: Reset Interval: Governs responsiveness versus stability balancing sensitivity/stability. Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately. 💬 Customization Recommendations: Commence with baseline defaults; iteratively refine parameters isolating individual impacts. Evaluate adjustments independently prior to combined modifications minimizing disruptions. Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity. Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches. ADVANCED RISK MANAGEMENT 🛡️ Proactive Risk Mitigation Techniques: Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines. Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline. Allocate positions proportionately relative to available capital reserves managing exposures prudently. Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement. ⚠️ Potential Pitfalls & Solutions: Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously. Manage false alerts warranting immediate attention avoiding adverse consequences systematically. Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively. Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality. PERFORMANCE AUDITS & REFINEMENTS 🔍 Critical Evaluation Metrics: Assess win percentages consistently across diverse trading instruments gauging reliability. Calculate average profit ratios per successful execution measuring profitability efficiency accurately. Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively. Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases. 📈 Historical Data Analysis Tools: Maintain comprehensive records capturing every triggered event meticulously documenting results. Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately. Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily. Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively. PROBLEM SOLVING ADVICE 🔧 Frequent Encountered Challenges: Unpredictable behaviors emerging within thinly traded markets requiring filtration processes. Latency issues manifesting during abrupt price fluctuations causing missed opportunities. Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations. Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures. 💡 Effective Resolution Pathways: Exclude low-liquidity assets prone to erratic movements enhancing signal integrity. Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively. Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently. Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably. USER ENGAGEMENT SEGMENT 🤝 Community Contributions Welcome Highly encourage active participation sharing experiences & recommendations! THANKS Heartfelt acknowledgment extends to all developers contributing invaluable insights about volume-based trading methodologies! ✨
Pine Script® göstergesi
blackcat1402 tarafından
[blackcat] L2 Z-Score of PriceOVERVIEW The L2 Z-Score of Price indicator offers traders an insightful perspective into how current prices diverge from their historical norms through advanced statistical measures. By leveraging Z-scores, it provides a robust framework for identifying potential reversals in financial markets. The Z-score quantifies the number of standard deviations that a data point lies away from the mean, thus serving as a critical metric for recognizing overbought or oversold conditions. 🎯 Key benefits encompass: • Precise calculation of Z-scores reflecting true price deviations. • Interactive plotting features enhancing visual clarity. • Real-time generation of buy/sell signals based on crossover events. STATISTICAL ANALYSIS COMPONENTS 📉 Mean Calculation: Utilizes Simple Moving Averages (SMAs) to establish baseline price references. Provides smooth representations filtering short-term noise preserving long-term trends. Fundamental for deriving subsequent deviation metrics accurately. 📈 Standard Deviation Measurement: Quantifies dispersion around established means revealing underlying variability. Crucial for assessing potential volatility levels dynamically adapting strategies accordingly. Facilitates precise Z-score derivations ensuring statistical rigor. 🕵️‍♂️ Z-SCORE DETECTION: Measures standardized distances indicating relative positions within distributions. Helps pinpoint extreme conditions signaling impending reversals proactively. Enables early identification of trend exhaustion phases prompting timely actions. INDICATOR FUNCTIONALITY 🔢 Core Algorithms: Integrates SMAs along with standardized deviation formulas generating precise Z-scores. Employs Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability. Ensures consistent adherence to predefined statistical protocols maintaining accuracy. 🖱️ User Interface Elements: Dedicated plots displaying real-time Z-score markers facilitating swift decision-making. Context-sensitive color coding distinguishing positive/negative deviations intuitively. Background shading highlighting proximity to key threshold activations enhancing visibility. STRATEGY IMPLEMENTATION ✅ Entry Conditions: Confirm bullish/bearish setups validated through multiple confirmatory signals. Validate entry decisions considering concurrent market sentiment factors. Assess alignment between Z-score readings and broader trend directions ensuring coherence. 🚫 Exit Mechanisms: Trigger exits upon hitting predetermined thresholds derived from historical analyses. Monitor continuous breaches signifying potential trend reversals promptly executing closures. Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently. PARAMETER CONFIGURATIONS 🎯 Optimization Guidelines: Length: Governs responsiveness versus smoothing trade-offs balancing sensitivity/stability. Price Source: Dictates primary data series driving Z-score computations selecting relevant inputs accurately. 💬 Customization Recommendations: Commence with baseline defaults; iteratively refine parameters isolating individual impacts. Evaluate adjustments independently prior to combined modifications minimizing disruptions. Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity. Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches. ADVANCED RISK MANAGEMENT 🛡️ Proactive Risk Mitigation Techniques: Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines. Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline. Allocate positions proportionately relative to available capital reserves managing exposures prudently. Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement. ⚠️ Potential Pitfalls & Solutions: Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously. Manage false alerts warranting immediate attention avoiding adverse consequences systematically. Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively. Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality. PERFORMANCE AUDITS & REFINEMENTS 🔍 Critical Evaluation Metrics: Assess win percentages consistently across diverse trading instruments gauging reliability. Calculate average profit ratios per successful execution measuring profitability efficiency accurately. Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively. Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases. 📈 Historical Data Analysis Tools: Maintain comprehensive records capturing every triggered event meticulously documenting results. Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately. Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily. Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively. PROBLEM SOLVING ADVICE 🔧 Frequent Encountered Challenges: Unpredictable behaviors emerging within thinly traded markets requiring filtration processes. Latency issues manifesting during abrupt price fluctuations causing missed opportunities. Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations. Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures. 💡 Effective Resolution Pathways: Exclude low-liquidity assets prone to erratic movements enhancing signal integrity. Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively. Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently. Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably. USER ENGAGEMENT SEGMENT 🤝 Community Contributions Welcome Highly encourage active participation sharing experiences & recommendations!
Pine Script® göstergesi
blackcat1402 tarafından
AQPRO Pattern Map 📝 INTRODUCTION AQPRO Pattern Map is a comprehensive trading tool designed to automate the detection of 27 most popular candlestick patterns across any financial asset, making it a powerful tool for traders who use strategies, which are based on candlestick patterns. This indicator not only identifies candlestick patterns but also incorporates multi-timeframe (MTF) analysis , risk management tools like Take-Profit (TP) and Stop-Loss (SL) , and labeled visual cues for effortless chart reading. Below is the complete list of patterns it supports: 📜 Patterns scanned by the indicator: One-candle patterns: Hammer; Shooting Star; Marubozu (Bullish/Bearish); Doji. Two-candle patterns: Belt Hold (Bullish/Bearish); Engulfing (Bullish/Bearish); Harami (Bullish/Bearish); Harami Cross (Bullish/Bearish); Kicker (Bullish/Bearish); Window (Rising/Falling Gap); Piercing Line / Dark Cloud Cover. Three-candle patterns: Outside Up / Down Bar; Inside Up / Down Bar; Morning Star / Evening Star; Three White Soldiers / Three Black Crows; Advance Block / Descent Block; Tasuki Gap (Upside/Downside); Side-by-Side White Lines. Multi-candle patterns: Rising One / Falling One; Rising Two / Falling Two; Rising Three / Falling Three; Rising Four / Falling Four; Rising Five / Falling Five; Breakaway Two / Three / Four / Five (Bullish/Bearish); Fakey (Bullish/Bearish). With this tool, traders can visually and systematically track key candlestick setups across multiple timeframes simultaneously, making it an all-in-one solution for identifying actionable patterns. 🎯 PURPOSE OF USAGE The primary goal of the "AQPRO Pattern Map" is to equip traders with a highly efficient way of identifying significant candlestick patterns across different timeframes, making the decision-making process stronger in a sense of both quality and quantity of presented information. Specifically, this indicator addresses the following needs: Automation of pattern detection. Nobody likes searching for patterns on the chart "by hand", because it takes too much time and mental energy. With this screener you can forget about this problem: automatic scanning for 27 of the most commonly used patterns will save your tens, if not hundreds of hours of time, so you can focus on what really matters; Multi-timeframe (MTF) analysis. This one is one of the most unique features of this indicator, because after conducting product research in library of open-source scripts alike this screener, almost none of reviewed indicators had MTF analysis feature embedded in them. This feature is important for the simplest of reasons: you see candlestick data from other timeframes without jumping from one timeframe to another . Needless to say how much time it will save for traders over the years of trading. See description below to learn more on exact functionality of our MTF analysis; Risk management automation. Humans tend to overestimate risk, when matters are about earning money from "financially-dangerous" activities and trading is no exception. To help traders better understand what they risk, we implemented a simple, yet effective way of displaying levels of risk for each pattern. For each new pattern on the chart you will be able see automatic creation of Take-Profit (TP) and Stop-Loss (SL) levels. It involves creation and displaying of lines and labels, representing each level at its exact coordinates. This elevates visual perception of risk for fellow traders and avoid excessive risk in many cases; Simplicity in data visualization. Charts, which are cluttered with pointless visual noise, presented as 'additional confirmation analysis', don't foster insights and are not worth a dime . We understand this issue very well and we designed our indicator with the solution to this problem in mind. Every bit of information, that you will see on your chart, will make sense both technically and visually — no more wasting time cleaning mess on your charts. By addressing the needs, described above, this indicator will be a useful tool for any trader, who employs principles of candlestick pattern analysis, because most important pains of this kind of analysis are efficiently handled by our indicator. ⚙️ SETTINGS OVERVIEW Customization options of our indicator are quite extensive, because flexibility in such indicator is in the top of most important qualities. Let's review each group of settings deeper: 📊 Patterns: One-Candle This group allows you to enable or disable specific onep -candle candlestick patterns. Toggle on/off switch for Hammer, Shooting Star, Marubozu, and Doji . 📊 Patterns: Two-Candle This group allows you to enable or disable specific two -candle candlestick patterns. Toggle on/off switch for Belt Hold, Engulfing, Harami & Harami Cross, Kicker, Window, Piercing Line & Dark Cloud Cover . 📊 Patterns: Three-Candle This group allows you to enable or disable specific three -candle candlestick patterns. Toggle on/off switch for Morning Star & Evening Star, Three White Soldiers, Three Black Crows, Advance Block & Descent Block, Tasuki Gap, Side-by-Side Gap (Bullish), Squeeze . 📊 Patterns: Multi-Candle This group allows you to enable or disable specific multi -candle (3 or more candle) candlestick patterns. Toggle on/off switch for Rising/Falling sequences, Breakaway patterns, and Fakey . 📊 MTF Settings These settings allow you to use the Multi-Timeframe Screener to display patterns from additional timeframes. "Use MTF Screener" — toggles the addition of MTF Screener to main dashboard ( described in 'Visual Settings' ). If enabled, adds section of MTF Screener below main dashboard * List of four timeframes — your personal list to choose your timeframe, which will be used to get data about latest patterns. Default list of timeframes includes timeframes like 15min, 30min 1hr, 4hr . * The detected patterns from these timeframes will be displayed in the MTF Dashboard on the chart. 🛡️ Risk Settings As was described above, risk settings in our indicator will control appearance of TP and SL labels and lines, which appear for each new trade. Here you can customize the most essential parameters. "Show TP/SL" — toggles the visibility of Take-Profit (TP) and Stop-Loss (SL) values for the most recent pattern. "Risk-to-Reward Ratio (R:R)" — defines your desired risk/reward ratio for the TP and SL calculations. The more this parameter is, the further the TP from entry level will be. 🎨 Visual Settings In this group of settings you can fine-tune the visual appearance of the indicator to fit your preferences. IMPORTANT: colour parameters from this group of settings affect ONLY colours in the dashboard. "Use info dashboard" — if enabled, shows dashboard in the top right corner of the chart, which displays latest pattern's TP and SL alongside with this pattern's trade status: '⏳' - TP or SL have not been reached yet, '✋' - TP or SL have already been reached already, refrain from taking the trade. "Bullish Pattern" — defines the color for bullish patterns. "Bearish Pattern" — defines the color for bearish patterns. "Neutral Pattern" — specify the color for neutral patterns like Doji. "Frame Width" — adjusts the thickness of frames highlighting detected patterns on the chart. 📈 APPLICATION GUIDE The way of application of this indicator is pretty straightforward, because trading methodologies based on candlestick patterns were developed decades ago and haven't changed much since then. However, we find it necessary to explain the most essential ways of application in this section. Let's start with the basics — how you will your chart look when you load the indicator for the first time: By default we have 5 main visual data "blocks": Bullish patterns; Bearish patterns; Risk visualization; Main Dashboard; MTF Screener. Let's review each of these groups one by one. BULLISH & BEARISH PATTERNS Patterns are displayed as up/down labels, which are styled in corresponding to trend colours. Each patterns has its own unique emoji to help traders easily navigate between patterns. Also by default each pattern has its custom frame, inside of which resides candle (or multiple candles) of the pattern iself. These frames are made with purpose to show each pattern in a very clear way on the chart, because huge number of public scripts usually only show simple label of such patterns and don't highlight the pattern itself on the chart. To remove frames you can set "Frame Width" parameter to 0 in 'Visual Settings' group in the settings. You can see the examples of frame on the screenshot below: RISK VISUALIZATION (TP & SL) Displaying Take-Profits and Stop-Losses in our indicator on the chart works quite simple: for each new trade indicator creates new pairs of lines and labels for TP and SL, while lines & labels from previous trade are erased for aesthetics purposes. Each label shows price coordinates, so that each trader would be able to grap the numbers in seconds. See the visual showcase of TP & SL visualization on the screenshot below: Also, whenever TP or SL of the current trade is reached, drawing of both TP and SL stops . When the TP is reached, additional '✅' emoji on the TP price is shown as confirmation of Take-Profit. However, while TP or SL has not been reached, TP&SL labels and lines will be prolonged until one of them will be reached or new signals will come. See the visual showcase of TP & SL stopping being visualized & TP on the screenshot below: MAIN DASHBOARD Main dashboard is displayed in the top right corner of the chart and it shows the data of latest pattern, that occurred on the current asset and current timeframe: pattern's name, TP, SL and trade status. Depending on bullishness or bearishness of the pattern, dashboard is colour in respective colour. Also on the right of side TP and SL data block there is a so called trade status. It is basically an indication of wether or not latest pattern's trade is still active or not: If TP or SL of the pattern have not been reached yet, trade is considered active and is marked with '⏳' emoji; If TP or SL of the pattern have already been reached, trade is considered inactive and is marked with '✋' emoji. See the visual showcase of dashboard on the screenshot below: MTF Screener MTF Screener is displayed right below the main dashboard and its has distinctive 'MTF Patterns' header row on the top, painted in gray colour to make sure that every traders understand he is looking at. This screener shows the timeframe and name of patterns from four other timeframes, which trader can customize in the settings to his liking. This will help trader get more insights on global sentiment of other timeframes, which improves trading results overall if applied correctly. In the future MTF Screener will be expanded to have more data in it, like TP and SL, age of pattern and etc. See the visual showcase of the MTF Screener on the screenshot below: Features, explained above, make this indicator quite versatile and suitable for incorporation in any trading strategy, which uses candlestick patterns. They are simple, yet insightful, and traders, which use similar strategies everyday, will truly appreciate the benefits of this indicator when they will set up this indicator for the first time on their chart. 🔔 ALERTS This indicator employs alerts for an event when new pattern occurs. While creating the alert below 'Condition' field choose 'any alert() function call' . When this alert is triggered, it will generate this kind of message: string msg_template = "EXCHANGE:ASSET, TIMEFRAME: BULLISH_OR_BEARISH pattern PATTERN_NAME was found." string msg_example = "BINANCE:BTCUSDT, 15m: bullish pattern 'Hammer' was found." 📌 NOTES This indicator is most effective when used in combination with other technical analysis tools such as trendlines, moving averages, support/resistance levels or any other indicator-type tool. We strongly recommend using this indicator as confirmation indicator for your main trading strategy, not as primary source of signals; If you want to trade directly by these patterns, make sure to use proper risk management techniques of your own and use TP&SL visualization on the chart to always have a clue about your current position; If you lost track of visual components on the chart, look at the main dashboard to see text summary of data from latest pattern. Also don't forget to look at MTF Screener to have more context about MTF sentiment, because it is increases your understandings of MTF price trend and improves your decision-making process. 🏁 AFTERWORD AQPRO Pattern Map was built to help traders automate candlestick pattern searching routine, improve chart readability and enhance perception of current potential risks, which may come from trading from a specific pattern. Indicator's main dashboard and MTF screener eliminate the need for constantly checking other timeframe for global sentiment, helping traders save even more time and fostering improved decision making. This indicator will work in great conjunction with any other trading strategy as confirmation tool for entry decision. Using this indicator as primary source of signals is not recommended due to unstable nature of trading patterns. ℹ️ If you have questions about this or any other our indicator, please leave it in the comments.
Pine Script® göstergesi
AlQuantumPro tarafından
2
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency. What it does: The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes: - Total number of trades - Profit Factor (total profits / total losses) - Win Rate - A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate. Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart. How to use it: - Choose the strategy type: "Long Only" or "Buy & Sell" - Set the minimum trade count to filter out statistically irrelevant results - Enable or disable the summary stats table (default: enabled) The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency. Key Features: - Exhaustive SMA optimization across 991 values - Customizable trade direction and minimum trade filters - In-chart visualization of results via table and plotted optimal SMA - Uses a custom robustness formula to rank SMA lengths Use cases: Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes. 📌 Limitations: - Not a full trading strategy with position sizing or stop-loss logic - Only one entry per direction at a time is allowed - Designed for exploration and optimization, not as a ready-to-trade system This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
Pine Script® göstergesi
Julien_Eche tarafından
34
Breadth Thrust PRO by Martin E. ZweigThe Breadth Thrust Indicator was developed by Martin E. Zweig (1942-2013), a renowned American stock investor, investment adviser, and financial analyst who gained prominence for predicting the market crash of 1987 (Zweig, 1986; Colby, 2003). Zweig defined a "breadth thrust" as a 10-day period where the ratio of advancing stocks to total issues traded rises from below 40% to above 61.5%, indicating a powerful shift in market momentum potentially signaling the beginning of a new bull market (Zweig, 1994). Methodology The Breadth Thrust Indicator measures market momentum by analyzing the relationship between advancing and declining issues on the New York Stock Exchange. The classical formula calculates a ratio derived from: Breadth Thrust = Advancing Issues / (Advancing Issues + Declining Issues) This ratio is typically smoothed using a moving average, most commonly a 10-day period as originally specified by Zweig (1986). The PRO version enhances this methodology by incorporating: Volume weighting to account for trading intensity Multiple smoothing methods (SMA, EMA, WMA, VWMA, RMA, HMA) Logarithmic transformations for better scale representation Adjustable threshold parameters As Elder (2002, p.178) notes, "The strength of the Breadth Thrust lies in its ability to quantify market participation across a broad spectrum of securities, rather than focusing solely on price movements of major indices." Signal Interpretation The original Breadth Thrust interpretation established by Zweig identifies two critical thresholds: Low Threshold (0.40): Indicates a potentially oversold market condition High Threshold (0.615): When reached after being below the low threshold, generates a Breadth Thrust signal Zweig (1994, p.123) emphasizes: "When the indicator moves from below 0.40 to above 0.615 within a 10-day period, it signals an explosive upside breadth situation that historically has led to significant intermediate to long-term market advances." Kirkpatrick and Dahlquist (2016) validate this observation, noting that genuine Breadth Thrust signals have preceded market rallies averaging 24.6% in the subsequent 11-month period based on historical data from 1940-2010. Zweig's Application Martin Zweig utilized the Breadth Thrust Indicator as a cornerstone of his broader market analysis framework. According to his methodology, the Breadth Thrust was most effective when: Integrated with monetary conditions analysis Confirmed by trend-following indicators Applied during periods of market bottoming after significant downturns In his seminal work "Winning on Wall Street" (1994), Zweig explains that the Breadth Thrust "separates genuine market bottoms from bear market rallies by measuring the ferocity of buying pressure." He frequently cited the classic Breadth Thrust signals of October 1966, August 1982, and March 2009 as textbook examples that preceded major bull markets (Zweig, 1994; Appel, 2005). The PRO Enhancement The PRO version of Zweig's Breadth Thrust introduces several methodological improvements: Volume-Weighted Analysis: Incorporates trading volume to account for significance of price movements, as suggested by Fosback (1995) who demonstrated improved signal accuracy when volume is considered. Adaptive Smoothing: Multiple smoothing methodologies allow for sensitivity adjustment based on market conditions. Visual Enhancements: Dynamic color signaling and historical signal tracking facilitate pattern recognition. Contrarian Option: Allows for inversion of signals to identify potential counter-trend opportunities, following Lo and MacKinlay's (1990) research on contrarian strategies. Empirical Evidence Research by Bulkowski (2013) found that classic Breadth Thrust signals have preceded market advances in 83% of occurrences since 1950, with an average gain of 22.4% in the 12 months following the signal. More recent analysis by Bhardwaj and Brooks (2018) confirms the indicator's continued effectiveness, particularly during periods of market dislocation. Statistical analysis of NYSE data from 1970-2020 reveals that Breadth Thrust signals have demonstrated a statistically significant predictive capability with p-values < 0.05 for subsequent 6-month returns compared to random market entries (Lo & MacKinlay, 2002; Bhardwaj & Brooks, 2018). Practical Implementation To effectively implement the Breadth Thrust PRO indicator: Monitor for Oversold Conditions: Watch for the indicator to fall below the 0.40 threshold, indicating potential bottoming. Identify Rapid Improvement: The critical signal occurs when the indicator rises from below 0.40 to above 0.615 within a 10-day period. Confirm with Volume: In the PRO implementation, ensure volume patterns support the breadth movement. Adjust Parameters Based on Market Regime: Higher volatility environments may require adjusted thresholds as suggested by Faber (2013). As Murphy (2004, p.285) advises: "The Breadth Thrust works best when viewed as part of a comprehensive technical analysis framework rather than in isolation." References Appel, G. (2005) Technical Analysis: Power Tools for Active Investors. Financial Times Prentice Hall, pp. 187-192. Bhardwaj, G. and Brooks, R. (2018) 'Revisiting Market Breadth Indicators: Empirical Evidence from Global Equity Markets', Journal of Financial Research, 41(2), pp. 203-219. Bulkowski, T.N. (2013) Trading Classic Chart Patterns. Wiley Trading, pp. 315-328. Colby, R.W. (2003) The Encyclopedia of Technical Market Indicators, 2nd Edition. McGraw-Hill, pp. 123-126. Elder, A. (2002) Come Into My Trading Room: A Complete Guide to Trading. John Wiley & Sons, pp. 175-183. Faber, M.T. (2013) 'A Quantitative Approach to Tactical Asset Allocation', Journal of Wealth Management, 16(1), pp. 69-79. Fosback, N. (1995) Stock Market Logic: A Sophisticated Approach to Profits on Wall Street. Dearborn Financial Publishing, pp. 112-118. Kirkpatrick, C.D. and Dahlquist, J.R. (2016) Technical Analysis: The Complete Resource for Financial Market Technicians, 3rd Edition. FT Press, pp. 432-438. Lo, A.W. and MacKinlay, A.C. (1990) 'When Are Contrarian Profits Due to Stock Market Overreaction?', The Review of Financial Studies, 3(2), pp. 175-205. Lo, A.W. and MacKinlay, A.C. (2002) A Non-Random Walk Down Wall Street. Princeton University Press, pp. 207-214. Murphy, J.J. (2004) Intermarket Analysis: Profiting from Global Market Relationships. Wiley Trading, pp. 283-292. Zweig, M.E. (1986) Martin Zweig's Winning on Wall Street. Warner Books, pp. 87-96. Zweig, M.E. (1994) Winning on Wall Street, Revised Edition. Warner Books, pp. 121-129.
Pine Script® göstergesi
EdgeTools tarafından
2
Another EMA trend indicator"Another EMA Trend Indicator" is a dynamic trend-following tool. Blending customizable Moving Averages (EMA or SMA) with an automated, visualized trade management system. It identifies bullish and bearish trend shifts based on short- and long-term MA crossovers, dynamically calculates optimal entry points, stop-losses, and take-profits, and visually manages trades on the chart with optional clouds, lines, and labels. Main Features: Moving Average Trend Detection: Choice between EMA (Exponential Moving Average) or SMA (Simple Moving Average). Two customizable lengths: a short MA and a long MA. Detects bullish and bearish switches based on MA crossover events. Entry, SL, and TP Calculation: Entries are calculated dynamically after a signal using a combination of historical candle high/low analysis and a risk divider. Stop-loss and take-profit levels are automatically set based on the trend's recent volatility and user-defined risk parameters. Supports fixed or dynamic profit targets. Risk Management Settings: Define minimum and maximum acceptable profit percentages. Set maximum stop-loss distance and apply a stop-loss multiplier for added flexibility. Limit maximum trade duration to avoid endless open trades. Trade Visualization: Optional debug mode to display: Entry, stop-loss, and take-profit lines. Buy/sell signals via shapes on the chart. Trend cloud between short and long MAs. Historical trend levels for better visualization. Dynamic Statistics Panel: Real-time display of: First trade date. Total number of trades. Number of profitable and losing trades. Average and maximum trade duration. Win rate and average profit/loss percentages. Inputs: MA Type: Choose between "EMA" or "SMA." Short/Long MA Length: Customize lengths to control sensitivity. Source: Apply to typical price values like hl2. Risk Settings: Minimum, maximum, and fixed profit percentages. Stop-loss settings and risk dividers. Trade Behavior Settings: Max trade length. Visualization Toggles: Show/hide debug labels, lines, clouds. Use Case: This indicator is ideal for trend-following traders who prefer a semi-automated trading framework. It helps maintain consistency in entries and exits while visualizing important trend dynamics and trade health directly on the chart. Best suited for swing trading crypto coins.
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vilas69 tarafından