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Reverse RSI LevelsSimple reverse RSI calculation As default RSI values 30-50-70 are calculated into price. This can be used similar to a bollinger band, but has also multiple other uses. 70 RSI works as overbought/resistance level. 50 RSI works as both support and resistance depending on the trend. 30 RSI works as oversold/support level. Keep in mind that RSI levels can go extreme, specially in Crypto. I haven't made it possible to adjust the default levels, but I've added 4 more calculations where you can plot reverse RSI calculations of your desired RSI values. If you're a RSI geek, you probably use RSI quite often to see how high/low the RSI might go before finding a new support or resistance level. Now you can just put the RSI level into on of the 4 slots in the settings and see where that support/resistance level might be on the chart.
Pine Script® göstergesi
GizmoTheInvestor tarafından
VWAP & Band Cross Strategy v6VWAP & Band Cross Strategy v6: Script Summary This Pine Script implements a highly flexible, multi-layered trading strategy centered around the Volume Weighted Average Price (VWAP) and its associated Standard Deviation Bands. The strategy is designed to test various entry/exit models based on how the price interacts with the central VWAP line and the upper/lower volatility bands, with extensive risk management and confirmation filters. 1. Core Mechanics (VWAP & Bands) VWAP Calculation: Calculates the VWAP based on a user-defined source (default is the close price). Standard Deviation Bands: Creates upper and lower bands by calculating the standard deviation of the price (over 20 periods by default) and multiplying it by a user-defined Multiplier (default is 2.0). These bands dynamically expand and contract with volatility. Plotting: The script clearly plots the VWAP (purple), the Upper Band (green), and the Lower Band (red), with a colored fill between the bands. 2. Entry Triggers The core entry logic is based on a single, user-selected cross event between the price and the VWAP/Bands. The user can choose from six predefined entry types: Entry Type Category Entry Trigger (Long) Entry Trigger (Short) Mean Reversion Price crosses over the Lower Band. Price crosses under the Upper Band. Trend Following Price crosses over the Upper Band (Breakout). Price crosses under the Lower Band (Breakout). VWAP Cross Price crosses over the VWAP. Price crosses under the VWAP. 3. Filters and Confirmation Trades are only executed if they pass a series of optional filters, making the strategy highly customizable: Technical Confirmation (Optional): Users can enable and configure up to three additional indicators that must align with the trade direction: RSI: Price must be Oversold (for Long) or Overbought (for Short). SMMA: Price must be above the SMMA (for Long) or below (for Short). MACD: MACD line must cross the Signal line and the Histogram must be positive/negative. Time and Day Filters: Trades are restricted to a defined Entry Start/End Hour/Minute window, and only execute on user-selected Trading Days of the week. Trade Direction: Can be toggled to execute Long Only, Short Only, or Both. 4. Advanced Risk Management (Daily Limits) The strategy incorporates robust daily limits that reset at a configured Daily Reset Hour/Minute: Daily Profit/Loss Limits: If the running total of Realized PnL (closed trades) + Unrealized PnL (open position) exceeds a user-defined Daily Take Profit (in Ticks) or falls below the Daily Stop Loss (in Ticks), the strategy locks out new trades and immediately closes any open position. Max Daily Trades: Prevents the strategy from entering more than a specified number of trades per day. 5. Exit Logic The strategy exit is also highly configurable via the Exit Type setting: Fixed Ticks / ATR / Capped ATR: If one of these is selected, the script calculates a static Stop Loss and Take Profit level upon entry, using either fixed tick values or dynamic values based on the Average True Range (ATR), which are then executed using Pine Script's strategy.exit function. Cross Exits (VWAP/Bands): If selected, the position is closed when the price crosses the VWAP or a specific band in the opposite direction. End-of-Day Close: An unconditional exit that closes all open positions at a user-defined Close All Hour/Minute, regardless of profit/loss or limit status, preventing positions from being held overnight.
Pine Script® stratejisi
mcward302 tarafından
MNQ Hybrid Scalper Pro - Advanced NASDAQ Futures Scalping System🎯 Overview The MNQ Hybrid Scalper Pro is a comprehensive scalping system engineered specifically for NASDAQ futures traders. This indicator implements a modern hybrid approach that combines institutional-grade VWAP analysis with momentum oscillators optimized for the unique volatility characteristics of the NASDAQ market. Developed through extensive research on MNQ/NQ price action patterns, this indicator provides clear, actionable signals while filtering out market noise during high-volatility periods. ✨ Key Features 1. VWAP Foundation Session-anchored VWAP with automatic reset Dynamic standard deviation bands (1σ and 2σ) Color-coded price bars based on VWAP positioning VWAP test detection with momentum confirmation 2. Optimized Momentum Suite Fast RSI (7): Aggressive settings (85/15) for quick scalping signals Scalping MACD (5,13,6): Optimized parameters with SMA option Quick Stochastic (9,3,3): Tuned for 1-minute chart responsiveness Divergence Detection: Automated bullish/bearish divergence alerts 3. Multi-Timeframe Trend Filter Triple EMA system (9, 21, 50) on current and higher timeframes Trend strength scoring (-3 to +3) for directional bias Prevents counter-trend trades in strong trending markets Visual trend alignment indicators 4. Smart Signal Generation Long Signals: VWAP pullback + RSI oversold + MACD bullish turn + HTF trend alignment Short Signals: VWAP rally + RSI overbought + MACD bearish turn + HTF trend alignment Signal cooldown period to prevent overtrading Session-based filtering for optimal trading windows 5. Risk Management Visualization Automatic profit target levels (10 & 20 points) Dynamic stop loss levels (6 & 8 points) Risk/reward ratio calculation (minimum 1.5:1) Breakeven level display after 5 points profit Visual entry, target, and stop lines on chart 6. Session Intelligence NY opening range highlight (first 30 minutes) Optimal scalping window shading (9:30-11:30 AM EST) Major session markers (Asia, Europe, NY) Session countdown timer Contract rollover reminders 7. Real-Time Performance Dashboard Current trend status across timeframes Signal statistics and win rate tracking Position relative to VWAP Momentum indicator status (OB/OS/Neutral) Volume analysis (relative to 20-period average) Volatility monitoring with ATR spike detection 8. Professional Alert System High-probability entry alerts with specific levels VWAP test notifications with momentum confirmation Target and stop loss hit alerts Trend alignment notifications Comprehensive alert messages with entry, stop, and target prices 📈 How to Use Optimal Setup: Timeframe: Best on 1-minute charts (also works on 3-min and 5-min) Instrument: Optimized for MNQ (Micro E-mini NASDAQ), works with NQ Session: Most effective during NY session (9:30-11:30 AM EST) Chart Type: Standard candlestick or bars Signal Interpretation: Green Triangle (▲): Long entry signal - all conditions aligned for upward scalp Red Triangle (▼): Short entry signal - all conditions aligned for downward scalp DIV Labels: Momentum divergence detected - potential reversal zones Colored Bars: Green = above VWAP (bullish bias), Red = below VWAP (bearish bias) Entry Checklist: Wait for signal arrow to appear Confirm trend alignment in dashboard (HTF Trend) Check momentum status isn't extreme Verify you're within optimal trading window Enter at market with predetermined stop and target ⚙️ Customization Options Display Settings: Toggle individual components on/off 4 color schemes (Professional, Dark, Light, Classic) Adjustable transparency and visual elements Dashboard position selection Signal Settings: Adjust momentum indicator parameters Modify risk/reward levels Configure session filters Set signal cooldown periods Advanced Features: Multi-timeframe period adjustment Volatility filter sensitivity Contract type selection (MNQ/NQ) Alert configuration options 📊 Best Practices Start in Simulation: Test the indicator in paper trading first Respect the Trend: Don't fight the higher timeframe trend Manage Risk: Use the suggested stop losses consistently Time Your Trades: Focus on the optimal scalping window Confirm Signals: Best results when multiple confirmations align ⚠️ Important Notes Supplementary Tool: This indicator supplements but doesn't replace proper market analysis and order flow reading No Repainting: All signals are confirmed on bar close Education Required: Understanding of scalping principles recommended Risk Management: Always use proper position sizing and risk management Market Conditions: Performance varies with market volatility and conditions 🎓 Educational Value This indicator serves as an excellent educational tool for: Learning VWAP-based trading strategies Understanding momentum indicator optimization Practicing multi-timeframe analysis Developing systematic scalping approaches Risk management visualization 💻 Technical Specifications Pine Script Version: v6 Calculation Method: Non-repainting, real-time Performance: Optimized for minimal lag Compatibility: All TradingView plan levels Updates: Regularly maintained and improved 🏆 What Makes This Unique Unlike generic indicators, the MNQ Hybrid Scalper Pro is specifically engineered for NASDAQ futures volatility patterns. It combines institutional trading concepts (VWAP) with retail-friendly visualization and clear signals, bridging the gap between professional and accessible trading tools. 📬 Support & Feedback Questions, suggestions, or feedback? Leave a comment below or send a private message. Your input helps improve the indicator for the entire community. CME_MINI:MNQ1! Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and consult with a qualified financial advisor.
Pine Script® göstergesi
PineProfits tarafından
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
Pine Script® stratejisi
Quant_Trading_Pro tarafından
1
Svopex Session Highlighter# Session Highlighter ## Description **Session Highlighter** is a powerful Pine Script indicator designed to visually identify and mark specific trading hours on your chart. This tool helps traders focus on their preferred trading sessions by highlighting the background during active hours and marking the session start with customizable visual markers. ## Key Features - **📊 Session Background Highlighting**: Automatically shades the chart background during your defined trading hours (default: 7:00 - 23:00) - **🎯 Smart Session Start Marker**: Places a marker on the last candle before session start, intelligently adapting to your timeframe: - 1 Hour chart: Marker at 6:00 - 15 Minute chart: Marker at 6:45 - 5 Minute chart: Marker at 6:55 - 1 Minute chart: Marker at 6:59 - **🌍 Timezone Support**: Choose from multiple timezones (Europe/Prague, Europe/London, America/New_York, UTC) - **🎨 5 Marker Styles**: Customize your session start indicator: - Triangle - Circle - Diamond - Label with time text - Vertical line - **⚙️ Fully Customizable**: Adjust start/end hours, timezone, and marker style through simple settings ## Settings - **Start Hour**: Set your session start time (0-23) - **End Hour**: Set your session end time (0-23) - **Timezone**: Select your trading timezone - **Marker Style**: Choose your preferred visual marker ## Use Cases - Identify London/New York trading sessions - Mark Asian session hours - Highlight your personal trading windows - Avoid trading during off-hours - Perfect for day traders and scalpers ## Installation 1. Copy the Pine Script code 2. Open TradingView Pine Editor 3. Paste the code and click "Add to Chart" 4. Configure settings to match your trading schedule
Pine Script® göstergesi
svopex tarafından
TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction. - When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend. - When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase. This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition. TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Pine Script® göstergesi
echanxyz tarafından
Volume TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction. - When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend. - When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase. This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition. TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Pine Script® göstergesi
echanxyz tarafından
Orb SignalLightThe ORB Signal Light is the free version of our flagship ORB Signal Pro indicator, designed for traders who use the Opening Range Breakout (ORB) as their core framework. It automatically plots your session range, highlights breakout zones, and gives you the same clean visual foundation used by thousands of traders inside the Midas Touch community — without the advanced automation. Key Features: • Automatic ORB detection (5m / 15m adaptive) • Clean breakout visualization and ORB bands • Lightweight design for faster performance Limitations: The Crazy Horse Strategy, Dynamic Money Management, Setup Grading, and Automatic Stop Loss Logic are locked in this version and only available in ORB Signal Pro. 📍 Built for ORB Addicts. Powered by The Midas Touch Trading Group.
Pine Script® göstergesi
Miketradesdaily tarafından
2
Bollinger Band Width Oscillator %🧠 Bollinger Band Width Oscillator % The Bollinger Band Width Oscillator % is a volatility-focused tool that measures the relative width of Bollinger Bands and transforms it into an oscillator format. It helps traders visualize volatility expansions and contractions directly in an indicator pane — a powerful way to anticipate breakout or consolidation phases. 🔍 How It Works Band Width %: Calculates the percentage distance between the upper and lower Bollinger Bands relative to the basis (SMA). Smoothed Output: The raw bandwidth is smoothed using a moving average for cleaner, more stable signals. Dynamic Volatility Zones: The script automatically computes average, high, and low volatility thresholds — each dynamically adapting to market conditions. User-Adjustable Multipliers: Control how sensitive your high/low zones are with the High Zone Multiplier and Low Zone Multiplier inputs. ⚙️ Key Features 📊 Oscillator Format – Easy-to-read visualization of volatility compression and expansion. 🔥 High/Low Volatility Detection – Automatic labeling and color-coded alerts for shifts in volatility. 🧩 Dynamic Thresholds – Zones adjust automatically with market activity for adaptive sensitivity. 🧠 Hysteresis Logic – Prevents rapid signal flipping, improving clarity and reliability. 🎨 Custom Visuals – Adjustable smoothing and background highlights for quick interpretation. 📈 Trading Applications Identify Breakouts: Rising bandwidth often precedes price breakouts. Spot Consolidations: Low bandwidth indicates tightening volatility and potential range trades. Volatility Regime Analysis: Understand market rhythm and adapt strategies accordingly. ⚡ Inputs Parameter Description Band Length Period for Bollinger Band calculation Band Multiplier Standard deviation multiplier for the bands Source Price source (default: close) Smoothing Period for smoothing the oscillator line High Zone Multiplier Adjusts the high-volatility threshold Low Zone Multiplier Adjusts the low-volatility threshold Highlight Volatility Zones Optional background color overlay 🧊 Usage Tip Combine this indicator with momentum tools or price action analysis to confirm trade setups. Watch for transitions from low to high volatility zones — these often signal the beginning of major market moves.
Pine Script® göstergesi
Bmaloney tarafından
Fishnet Squeeze [Osprey]🟠 Overview The SMA Fishnet with Squeeze indicator combines a multi-timeframe moving average ribbon system with an advanced squeeze detection algorithm to help traders identify both trend direction and potential breakout opportunities. 🟠 How to Use This Indicator - Squeeze Breakout Trading When the indicator signals a squeeze (yellow diamond marker and highlighted background), prepare for a potential breakout in either direction - Support and Resistance Identification The twelve SMA levels act as dynamic support and resistance zones. Price often bounces or pauses at these levels, especially at the convergence of multiple SMAs. Squeeze Settings - **Enable/Disable**: Toggle squeeze detection on or off - **Lookback Period**: Adjust the historical comparison window (20-200 bars) - **Percentile Threshold**: Set sensitivity for squeeze detection (1-20%) - **Minimum Duration**: Define how many bars must confirm a squeeze (1-10) - **Visual Customization**: Modify squeeze marker colors to suit your preferences ‼️ Test different values for Lookback Period ! Lower lookback period = more frequent squeeze marks. I suggest using 31 or 100. 🟠 The Fishnet Structure The indicator employs twelve SMAs ranging from ultra-short-term (3-period) to long-term (200-period), creating a "fishnet" pattern on your chart. This graduated approach provides a comprehensive view of price action across multiple timeframes simultaneously: 🟠 Advanced Squeeze Detection Algorithm The squeeze detection component identifies periods when all twelve SMAs converge into an unusually tight range, indicating market indecision and potential energy buildup. The algorithm uses several sophisticated filters: 1. ATR-Normalized Range Calculation: The indicator normalizes the SMA range using Average True Range (ATR) to ensure consistent squeeze detection across different volatility environments and price levels. 2. Historical Percentile Analysis: Compares the current normalized range against a customizable lookback period (default: 31 bars) to identify when SMAs are in the bottom percentile of historical tightness. 3. Statistical Validation: Uses z-score analysis to confirm that the current range is significantly below the mean, filtering out false signals. 4. Duration Confirmation: Requires the squeeze condition to persist for a minimum number of consecutive bars (default: 3) to validate genuine compression. 5. Local Minimum Verification: Confirms that the current squeeze represents the tightest point in recent history (20-bar window).
Pine Script® göstergesi
osprey0 tarafından
1
ICT SMART MONEY__Advanced Multi-Timeframe Target TREND indicator with comprehensive ICT (Inner Circle Trader) concepts, session analysis, and smart money concepts for professional forex and crypto trading.__ --- ### __🔥 Core Features:__ #### __📈 Multi-Timeframe Analysis__ - __7 Timeframe Table__: 1min, 5min, 15min, 30min, 1hour, 4hour, Daily analysis - __Target System__: Stop Loss, Entry, TP1, TP2, TP3 calculations for each timeframe - __Trend Direction__: Visual arrows showing bullish/bearish bias across all timeframes #### __⚡ ICT Killzone Sessions__ - __4 Major Sessions__: Asia KZ, London KZ, NY AM, NY PM with colored session boxes - __Pivot Lines__: Automatic high/low detection with full format labels ("ASIA High", "LONDON Low") - __Global Label Alignment__: All session labels perfectly aligned for professional appearance - __Range Analytics__: Real-time pip calculations with historical averages and Turkish volatility analysis #### __🌍 Trading Session Management__ - __Individual Controls__: Asia/London sessions auto-enabled, NY sessions optional - __Horizontal Lines__: Clean session high/low tracking without clutter - __NY Lunch Session__: Additional 11:30-13:30 session for advanced analysis - __Session Transparency__: Adjustable transparency levels for optimal chart visibility #### __📍 Professional Key Levels__ - __Monday High/Low__: Weekly opening reference levels - __Previous Day High/Low__: Daily support/resistance zones - __Previous Week High/Low__: Major weekly levels - __Full Format Labels__: "Previous Day High" instead of "PDH" for crystal clarity - __160 Bar Distance__: Optimized label positioning for clean charts #### __🔗 Liquidity Trendlines__ - __Automatic Detection__: 8-bar lookback pivot detection system - __Breakout Signals__: Visual alerts when trendlines are broken - __Dynamic Padding__: 4.0 ATR-based trendline spacing - __Bullish/Bearish Colors__: Clear color coding for trend direction #### __💎 Smart Money Concepts (SMC)__ - __Fair Value Gaps (FVG)__: Automatic gap detection with mitigation tracking - __Structure Analysis__: BOS (Break of Structure) and CHoCH (Change of Character) detection - __Structure Fibonacci__: 5-level fibonacci retracements (78.6%, 70.5%, 61.8%, 50%, 38.2%) - __Lifecycle Management__: Complete FVG and structure history tracking #### __📊 Range Analytics Table__ - __Session Volatility__: Current pip movement vs historical averages - __Turkish Analysis__: "Güçlü Momentum", "Yüksek Aktivite", "Normal Aktivite", "Düşük Hareket", "Zayıf Session" - __Integrated Display__: Seamlessly positioned below multi-timeframe table - __Professional Formatting__: Color-coded session identification with status analysis
Pine Script® göstergesi
coin2mine tarafından
2
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description ## 📊 OVERVIEW Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal. --- ## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL ### The Core Innovation: Weighted Confidence Scoring Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that: 1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score 2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives 3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality 4. **Adapts to Market Conditions** - Different market regimes activate different component combinations ### Why This Combination is Useful Traditional approaches suffer from: - **Single-dimension bias**: RSI shows oversold, but trend is still down - **Conflicting signals**: MACD says buy, but volume is weak - **No prioritization**: All signals treated equally regardless of strength QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align. --- ## 🔬 THE FOUR ANALYTICAL FRAMEWORKS ### 1. Temporal Fractal Resonance (TFR) **What It Does:** Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization. **How It Works:** - Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe - Calculates "fractal strength" for each timeframe using this formula: ``` Fractal Strength = (Rate of Change / Standard Deviation) × 100 ``` This creates a momentum-to-volatility ratio that measures trend strength relative to noise - Computes a Resonance Index when all four timeframes show the same directional bias - The index averages the absolute strength values when all timeframes align **Why This Method:** Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction. **Contribution to Confidence Score:** - TFR Bullish = +25 points - TFR Bearish = +25 points (to bearish confidence) - No alignment = 0 points --- ### 2. Cross-Asset Quantum Entanglement (CAQE) **What It Does:** Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves. **How It Works:** - Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars - Calculates Pearson correlation coefficient between the main asset and each reference: ``` Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y)) ``` - Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength: ``` Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3 ``` - Detects "correlation breakdowns" when average correlation drops below 0.3 **Why This Method:** Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that: - Crypto assets often correlate with Bitcoin - Risk assets inversely correlate with VIX (fear gauge) - Dollar strength affects commodity and crypto prices When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other. **Contribution to Confidence Score:** - CAQE Bullish (positive pressure, stable correlations) = +25 points - CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish) - Correlation breakdown = Warning marker (potential reversal zone) --- ### 3. Adaptive Market Psychology Matrix (AMPM) **What It Does:** Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change). **How It Works:** The system evaluates three metrics: 1. **RSI (14-period)**: Measures overbought/oversold conditions 2. **Volume Analysis**: Compares current volume to 20-period average 3. **ATR Rate of Change**: Detects volatility acceleration Based on these inputs, the market is classified into: - **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion) - **Greed**: RSI > 70, normal volume (moderate bullish emotion) - **Neutral**: RSI 40-60, declining volatility (balanced state) - **Fear**: RSI 40-60, low volatility (uncertainty without panic) - **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion) - **Despair**: RSI < 20, normal volume (capitulation phase) **Why This Method:** Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because: - At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left) - At Panic/Despair bottoms, everyone bearish has already sold (no sellers left) AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states. **Contribution to Confidence Score:** - Psychology Bullish (Panic/Despair + RSI < 35) = +15 points - Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points - Neutral states = 0 points --- ### 4. Time-Decay Probability Zones (TDPZ) **What It Does:** Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments. **How It Works:** - Calculates a 20-period Simple Moving Average as the basis line - Computes standard deviation of price over the same period - Creates four probability zones: - **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary) - **Upper Zone**: Basis + 1.5 standard deviations - **Lower Zone**: Basis - 1.5 standard deviations - **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary) - Dynamically adjusts zone width based on ATR (Average True Range): ``` Adjusted Upper = Upper Zone + (ATR × adjustment_factor) Adjusted Lower = Lower Zone - (ATR × adjustment_factor) ``` - The adjustment factor increases during high volatility, widening the zones **Why This Method:** Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting: - Price has ≈99% probability of staying within extreme zones in normal conditions - Touches to extreme zones represent statistical outliers (high-probability reversal opportunities) - Zone expansion/contraction reflects volatility regime changes - ATR adjustment prevents false signals during unusual volatility The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return. **Contribution to Confidence Score:** - Price in Lower Extreme Zone = +15 points (bullish reversal probability) - Price in Upper Extreme Zone = +15 points (bearish reversal probability) - Price near basis = 0 points --- ## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS ### Signal Generation Formula QMH calculates separate Bullish and Bearish confidence scores each bar: **Bullish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bullish: 25 points (if all 4 timeframes aligned bullish) + CAQE Bullish: 25 points (if intermarket pressure positive) + AMPM Bullish: 15 points (if Panic/Despair contrarian signal) + TDPZ Bullish: 15 points (if price in lower probability zones) ───────── Maximum Possible: 100 points ``` **Bearish Confidence (0-100%):** ``` Base Score: 20 points + TFR Bearish: 25 points (if all 4 timeframes aligned bearish) + CAQE Bearish: 25 points (if intermarket pressure negative) + AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal) + TDPZ Bearish: 15 points (if price in upper probability zones) ───────── Maximum Possible: 100 points ``` ### Confirmed Signal Requirements A **QBUY** (Quantum Buy) signal generates when: 1. Bullish Confidence ≥ User-defined threshold (default 60%) 2. Bullish Confidence > Bearish Confidence 3. No active sell signal present A **QSELL** (Quantum Sell) signal generates when: 1. Bearish Confidence ≥ User-defined threshold (default 60%) 2. Bearish Confidence > Bullish Confidence 3. No active buy signal present ### Why This Approach Is Different **Example Comparison:** Traditional RSI Strategy: - RSI < 30 → Buy signal - Result: May buy into falling knife if trend remains bearish QMH Approach: - RSI < 30 → Psychology shows Panic (+15 points) - But requires additional confirmation: - Are all timeframes also showing bullish reversal? (+25 points) - Is intermarket pressure turning positive? (+25 points) - Is price at a statistical extreme? (+15 points) - Only when total ≥ 60 points does a QBUY signal fire This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities. --- ## 🚫 NO REPAINT GUARANTEE **QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading. ### Technical Implementation: 1. **All Multi-Timeframe Data Uses Confirmed Bars** ```pinescript tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off) ``` Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar. 2. **Lookahead Prevention** ```pinescript lookahead=barmerge.lookahead_off ``` This parameter prevents the function from accessing future data that wouldn't be available in real-time. 3. **Signal Timing** Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared. ### What This Means for Users: - **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time - **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it) - **Honest Performance**: Results reflect true predictive power, not hindsight optimization - **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart The dashboard displays "✓ NO REPAINT" to confirm this guarantee. --- ## 📖 HOW TO USE THIS INDICATOR ### Basic Trading Strategy **For Trend Followers:** 1. **Wait for Signal Confirmation** - QBUY label appears below a bar = Confirmed bullish entry opportunity - QSELL label appears above a bar = Confirmed bearish entry opportunity 2. **Check Confidence Score** - 60-70%: Moderate confidence (consider smaller position size) - 70-85%: High confidence (standard position size) - 85-100%: Very high confidence (consider larger position size) 3. **Enter Trade** - Long entry: Market or limit order near signal bar - Short entry: Market or limit order near signal bar 4. **Set Targets Using Probability Zones** - Long trades: Target the adjusted upper zone (lime line) - Short trades: Target the adjusted lower zone (red line) - Alternatively, target the basis line (yellow) for conservative exits 5. **Set Stop Loss** - Long trades: Below recent swing low minus 1 ATR - Short trades: Above recent swing high plus 1 ATR **For Mean Reversion Traders:** 1. **Wait for Extreme Zones** - Price touches extreme lower zone (dotted red line below) - Price touches extreme upper zone (dotted lime line above) 2. **Confirm with Psychology** - At lower extreme: Look for Panic or Despair state - At upper extreme: Look for Euphoria or Greed state 3. **Wait for Confidence Build** - Monitor dashboard until confidence exceeds threshold - Requires patience - extreme touches don't always reverse immediately 4. **Enter Reversal** - Target: Return to basis line (yellow SMA 20) - Stop: Beyond the extreme zone **For Position Traders (Longer Timeframes):** 1. **Use Daily Timeframe** - Set chart to daily for longer-term signals - Signals will be less frequent but higher quality 2. **Require High Confidence** - Filter setting: Min Confidence Score 80%+ - Only take the strongest multi-dimensional setups 3. **Confirm with Resonance Background** - Green tinted background = All timeframes bullish aligned - Red tinted background = All timeframes bearish aligned - Only enter when background tint matches signal direction 4. **Hold for Major Targets** - Long trades: Hold until extreme upper zone or opposite signal - Short trades: Hold until extreme lower zone or opposite signal --- ## 📊 DASHBOARD INTERPRETATION The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions: ### Dashboard Elements: 1. **✓ NO REPAINT** - Green confirmation that signals don't repaint - Always visible to remind users of signal integrity 2. **SIGNAL: BULL/BEAR XX%** - Shows dominant direction (whichever confidence is higher) - Displays current confidence percentage - Background color intensity reflects confidence level 3. **Psychology: ** - Current market emotional state - Color coded: - Orange = Euphoria (extreme bullish emotion) - Yellow = Greed (moderate bullish emotion) - Gray = Neutral (balanced state) - Purple = Fear (uncertainty) - Red = Panic (extreme bearish emotion) - Dark red = Despair (capitulation) 4. **Resonance: ** - Multi-timeframe alignment strength - Positive = All timeframes bullish aligned - Negative = All timeframes bearish aligned - Near zero = Timeframes not synchronized - Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance) 5. **Intermarket: ** - Cross-asset pressure measurement - Positive = BTC/DXY/VIX correlations supporting upside - Negative = Correlations supporting downside - Warning ⚠️ if correlation breakdown detected 6. **RSI: ** - Current RSI(14) reading - Background colors: Red (>70 overbought), Green (<30 oversold) - Status: OB (overbought), OS (oversold), or • (neutral) 7. **Status: READY BUY / READY SELL / WAIT** - Quick trade readiness indicator - READY BUY: Confidence ≥ threshold, bias bullish - READY SELL: Confidence ≥ threshold, bias bearish - WAIT: Confidence below threshold ### How to Use Dashboard: **Before Entering a Trade:** - Verify Status shows READY (not WAIT) - Check that Resonance matches signal direction - Confirm Psychology isn't contradicting (e.g., buying during Euphoria) - Note Intermarket value - breakdowns (⚠️) suggest caution **During a Trade:** - Monitor Psychology shifts (e.g., from Fear to Greed in a long) - Watch for Resonance changes that could signal exit - Check for Intermarket breakdown warnings --- ## ⚙️ CUSTOMIZATION SETTINGS ### TFR Settings (Temporal Fractal Resonance) - **Enable/Disable**: Turn TFR analysis on/off - **Fractal Sensitivity** (5-50, default 14): - Lower values = More responsive to short-term changes - Higher values = More stable, slower to react - Recommendation: 14 for balanced, 7 for scalping, 21 for position trading ### CAQE Settings (Cross-Asset Quantum Entanglement) - **Enable/Disable**: Turn CAQE analysis on/off - **Asset 1** (default BTC): Reference asset for correlation analysis - **Asset 2** (default DXY): Second reference asset - **Asset 3** (default VIX): Third reference asset - **Correlation Length** (10-100, default 20): - Lower values = More sensitive to recent correlation changes - Higher values = More stable correlation measurements - Recommendation: 20 for most assets, 50 for less volatile markets ### Psychology Settings (Adaptive Market Psychology Matrix) - **Enable/Disable**: Turn AMPM analysis on/off - **Volume Spike Threshold** (1.0-5.0x, default 2.0): - Lower values = Detect smaller volume increases as spikes - Higher values = Only flag major volume surges - Recommendation: 2.0 for stocks, 1.5 for crypto ### Probability Settings (Time-Decay Probability Zones) - **Enable/Disable**: Turn TDPZ visualization on/off - **Probability Lookback** (20-200, default 50): - Lower values = Zones adapt faster to recent price action - Higher values = Zones based on longer statistical history - Recommendation: 50 for most uses, 100 for position trading ### Filter Settings - **Min Confidence Score** (40-95%, default 60%): - Lower threshold = More signals, more false positives - Higher threshold = Fewer signals, higher quality - Recommendation: 60% for active trading, 75% for selective trading ### Visual Settings - **Show Entry Signals**: Toggle QBUY/QSELL labels on chart - **Show Probability Zones**: Toggle zone visualization - **Show Psychology State**: Toggle dashboard display --- ## 🔔 ALERT CONFIGURATION QMH includes four alert conditions that can be configured via TradingView's alert system: ### Available Alerts: 1. **Quantum Buy Signal** - Fires when: Confirmed QBUY signal generates - Message includes: Confidence percentage - Use for: Entry notifications 2. **Quantum Sell Signal** - Fires when: Confirmed QSELL signal generates - Message includes: Confidence percentage - Use for: Entry notifications or exit warnings 3. **Market Panic** - Fires when: Psychology state reaches Panic - Use for: Contrarian opportunity alerts 4. **Market Euphoria** - Fires when: Psychology state reaches Euphoria - Use for: Reversal warning alerts ### How to Set Alerts: 1. Right-click on chart → "Add Alert" 2. Condition: Select "Quantum Market Harmonics" 3. Choose alert type from dropdown 4. Configure expiration, frequency, and notification method 5. Create alert **Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers. --- ## 💡 BEST PRACTICES ### For All Users: 1. **Backtest First** - Test on your specific market and timeframe before live trading - Different assets may perform better with different confidence thresholds - Verify that the No Repaint guarantee works as described 2. **Paper Trade** - Practice with signals on a demo account first - Understand typical signal frequency for your timeframe - Get comfortable with the dashboard interpretation 3. **Risk Management** - Never risk more than 1-2% of capital per trade - Use proper stop losses (not just mental stops) - Position size based on confidence score (larger size at higher confidence) 4. **Consider Context** - QMH signals work best in clear trends or at extremes - During tight consolidation, false signals increase - Major news events can invalidate technical signals ### Optimal Use Cases: **QMH Works Best When:** - ✅ Markets are trending (up or down) - ✅ Volatility is normal to elevated - ✅ Price reaches probability zone extremes - ✅ Multiple timeframes align - ✅ Clear inter-market relationships exist **QMH Is Less Effective When:** - ❌ Extremely low volatility (zones contract too much) - ❌ Sideways choppy markets (conflicting timeframes) - ❌ Flash crashes or news events (correlations break down) - ❌ Very illiquid assets (irregular price action) ### Session Considerations: - **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours) - **Forex**: Best during London/New York overlap when volume is highest - **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours) --- ## ⚠️ LIMITATIONS AND RISKS ### This Indicator Cannot: - **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis - **Guarantee Profits**: No indicator is 100% accurate; losses will occur - **Replace Risk Management**: Always use stop losses and proper position sizing - **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals - **Work in All Market Conditions**: Less effective during extreme low volatility or major news events ### Known Limitations: 1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met 2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets 3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices 4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint ### Risk Warnings: - Past performance doesn't guarantee future results - Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays - Different markets and timeframes may produce different results - The indicator should be used as a tool, not as a standalone trading system - Always combine with your own analysis, risk management, and trading plan --- ## 🎓 EDUCATIONAL CONCEPTS This indicator synthesizes several established financial theories and technical analysis concepts: ### Academic Foundations: 1. **Fractal Market Hypothesis** (Edgar Peters) - Markets exhibit self-similar patterns across time scales - Implemented via multi-timeframe resonance analysis 2. **Behavioral Finance** (Kahneman & Tversky) - Investor psychology drives market inefficiencies - Implemented via market psychology state classification 3. **Intermarket Analysis** (John Murphy) - Asset classes correlate and influence each other predictably - Implemented via cross-asset correlation monitoring 4. **Mean Reversion** (Statistical Arbitrage) - Prices tend to revert to statistical norms - Implemented via probability zones and standard deviation bands 5. **Multi-Timeframe Analysis** (Technical Analysis Standard) - Higher timeframe trends dominate lower timeframe noise - Implemented via fractal resonance scoring ### Learning Resources: To better understand the concepts behind QMH: - Read "Intermarket Analysis" by John Murphy (for CAQE concepts) - Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts) - Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts) - Learn about Bollinger Bands (for TDPZ foundation) --- ## 🔄 VERSION HISTORY AND UPDATES **Current Version: 1.0** This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include: - Additional reference assets for CAQE - Optional machine learning-based weight optimization - Customizable psychology state definitions - Alternative probability zone calculations - Performance metrics tracking Check the "Updates" tab on the script page for version history. --- ## 📞 SUPPORT AND FEEDBACK ### How to Get Help: 1. **Read This Description First**: Most questions are answered in the detailed sections above 2. **Check Comments**: Other users may have asked similar questions 3. **Post Comments**: For general questions visible to the community 4. **Use TradingView Messaging**: For private inquiries (if available) ### Providing Useful Feedback: When reporting issues or suggesting improvements: - Specify your asset, timeframe, and settings - Include a screenshot if relevant - Describe expected vs. actual behavior - Check if issue persists with default settings ### Continuous Improvement: This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome. --- ## ⚖️ DISCLAIMER This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**. **Important Disclaimers:** - You should **not** rely solely on this indicator to make trading decisions - Always conduct your own research and due diligence - Past performance is not indicative of future results - Trading and investing involve substantial risk of loss - Only trade with capital you can afford to lose - Consider consulting with a licensed financial advisor before trading - The author is not responsible for any trading losses incurred using this indicator **By using this indicator, you acknowledge:** - You understand the risks of trading - You take full responsibility for your trading decisions - You will use proper risk management techniques - You will not hold the author liable for any losses --- ## 🙏 ACKNOWLEDGMENTS This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from: - The Pine Script community on TradingView - Academic research in behavioral finance and market microstructure - Classical technical analysis methods developed over decades - Open-source indicators that demonstrate best practices in Pine Script coding Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible. --- ## 📚 ADDITIONAL RESOURCES **Pine Script Documentation:** - Official Pine Script Manual: www.tradingview.com **Related Concepts to Study:** - Multi-timeframe analysis techniques - Correlation analysis in financial markets - Behavioral finance principles - Mean reversion strategies - Bollinger Bands methodology **Recommended TradingView Tools:** - Strategy Tester: To backtest signal performance - Bar Replay: To see how signals develop in real-time - Alert System: To receive notifications of new signals --- **Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
Pine Script® göstergesi
Smart-Day-Trader tarafından
Trading Toolkit - Comprehensive AnalysisTrading Toolkit – Comprehensive Analysis A unified trading analysis toolkit with four sections: 📊 Company Info Fundamentals, market cap, sector, and earnings countdown. 📅 Performance Date‑range analysis with key metrics. 🎯 Market Sentiment CNN‑style Fear & Greed Index (7 components) + 150‑SMA positioning. 🛡️ Risk Levels ATR/MAD‑based stop‑loss and take‑profit calculations. Key Features CNN‑style Fear & Greed approximation using: Momentum: S&P 500 vs 125‑DMA Price Strength: NYSE 52‑week highs vs lows Market Breadth: McClellan Volume Summation (Up/Down volume) Put/Call Ratio: 5‑day average (inverted) Volatility: VIX vs 50‑DMA (inverted) Safe‑Haven Demand: 20‑day SPY–IEF return spread Junk‑Bond Demand: HY vs IG credit spread (inverted) Normalization: z‑score → percentile (0–100) with ±3 clipping. CNN‑aligned thresholds: Extreme Fear: 0–24 | Fear: 25–44 | Neutral: 45–54 | Greed: 55–74 | Extreme Greed: 75+. Risk tools: ATR & MAD volatility measures with configurable multipliers. Flexible layout: vertical or side‑by‑side columns. Data Sources S&P 500: CBOE:SPX or AMEX:SPY NYSE: INDEX:HIGN, INDEX:LOWN, USI:UVOL, USI:DVOL Options: USI:PCC (Total PCR), fallback INDEX:CPCS (Equity PCR) Volatility: CBOE:VIX Treasuries: NASDAQ:IEF Credit Spreads: FRED:BAMLH0A0HYM2, FRED:BAMLC0A0CM Risk Management ATR risk bands: 🟢 ≤3%, 🟡 3–6%, ⚪ 6–10%, 🟠 10–15%, 🔴 >15% MAD‑based stop‑loss and take‑profit calculations. Author: Daniel Dahan (AI Generated, Merged & enhanced version with CNN‑style Fear & Greed)
Pine Script® göstergesi
danny_dahan tarafından
AI Trend Signal + Auto TrendLines [NinjADeviL]📈 AI Trend Signal + Auto TrendLines The AI Trend Signal + Auto TrendLines indicator combines smart automatic trendline detection with AI-based market structure analysis to deliver precise real-time entry and exit signals. 🧠 Key Features: 🔹 Automatically detects upward and downward trendlines based on dynamic swing analysis. 🔹 Highlights breakout zones with clear visual alerts. 🔹 Built-in AI engine to forecast early trend reversals. 🔹 Integrates Smart Money Concepts (BOS / CHoCH). 🔹 Dynamic background and color-coded visualization for bullish/bearish trends. 🔹 Works across all timeframes and asset classes — stocks, forex, indices, and crypto. ⚙️ Fully Customizable: Adjust colors, sensitivity, line styles, and alerts to fit your personal trading strategy and chart style. 💡 Perfect For: Traders looking to identify high-probability breakouts, trend reversals, and key structural points in the market with clarity and accuracy.
Pine Script® göstergesi
NinjaDeviL tarafından
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75 Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25. Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75. Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even. Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price. Based on 5-minute and 15-minute charts Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
Pine Script® stratejisi
volders50 tarafından