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Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action. These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design. If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
Pine Script® göstergesi
adelcezar25 tarafından
15-Metric Strong Buy System (Final Version)This Pine Script analyzes 15 key technical signals to identify strong buy opportunities. It assigns a score out of 13 for core conditions and checks 2 optional filters (Delivery Spike and RS > Nifty). It only shows signals on the latest bar to keep the chart clean. 🧠 Core Structure Breakdown ✅ SECTION 1: Core Technical Signals (13 total) Each of the following conditions adds 1 point to the score: # Signal What It Checks Why It's Used 1 RSI (Daily & 1H) Both timeframes >55 and rising Confirms strength across multiple timeframes 2 Price > EMA20 & EMA50 Above short/medium-term trend lines Confirms uptrend support 3 Price near 20-day High Within 2% of recent high Breakout proximity 4 Volume > 20 SMA Unusual trading activity Confirms strength behind move 5 MACD Bullish Line > Signal and Histogram > 0 Momentum is building 6 ADX > 20 and +DI > -DI Trend strength and direction Validates strong directional trend 7 Bullish Candle Green candle with higher close Confirms bullish price action 8 BB Breakout Close > Upper Bollinger Band Volatility breakout confirmation 9 Supertrend Proxy Close above custom supertrend Simple trend direction filter 10 Close > Prev. High Break of short-term resistance Momentum continuation 11 VWAP Filter Close above VWAP Price leadership relative to volume 12 Weekly RSI > 50 Long-term trend momentum Confirms broader trend strength 13 BB Squeeze Bollinger Band width is low Signals potential upcoming move 🎯 Total Score = 0 to 13 🎯 SECTION 2: Optional Strength Filters (Displayed as labels) Label What It Means Why It Matters RS > Nifty Relative strength RSI > 55 vs Nifty Indicates outperformance Delivery Spike Volume > 1.5× avg & bullish candle Suggests institutional activity These are not included in the score, but if triggered, the chart displays: 🏷️ "RS > NIFTY" and/or 🏷️ "DELIVERY SPIKE" in black background + white text boxes above the latest bar. ✅ SECTION 3: Output Logic If score ≥ 12 → Show "STRONG BUY" on latest candle If score = 11 → Show "BUY" Also shows score label like Score: 12/13 Optional filters are displayed as labels if true No clutter on historical candles — only current signal is shown. 🔔 SECTION 4: Alerts Alert Trigger What It Does score >= 12 Fires "Strong Buy Alert" score == 11 Fires "Buy Alert" ⚖️ Pros & Cons (Analyst View) ✅ Pros: Covers breadth of momentum, trend, breakout, and strength Uses multi-timeframe confirmation for reliability Avoids repainting by using latest bar only Optional filters help detect smart money participation Clean, uncluttered interface ❌ Cons: Doesn’t include fundamentals False positives possible during sideways or news-driven moves No exit logic or Sell trigger Uses proxy for Delivery spike, not actual delivery % (due to TradingView data limits) 💡 When to Trust the Signal? Score Label Confidence 13/13 ✅ STRONG BUY + optional filters 🔥 Extremely strong 12/13 ✅ STRONG BUY ✅ Very high 11/13 BUY ⚠️ Medium — confirm with chart pattern <11 — ❌ Avoid
Pine Script® göstergesi
srivani_gundavaram tarafından
Auto-Trend Finder (Pivot + ADX)Inspired in part by LuxAlgo Trendlines with Breaks. Extended and enhanced for directional clarity and pivot-based precision. 🔍 What It Does The Auto-Trend Finder (Pivot + ADX) is a smart trend-detection toolkit that combines: Pivot-based swing detection (HH, HL, LH, LL) ADX-filtered trendline projections Custom slope estimation using ATR, Standard Deviation, Linear Regression, or a blended approach Candlestick pattern detection for added confirmation (e.g., hammer, engulfing, shooting star) 📈 How It Works 1. Swing Detection Uses ta.pivothigh / ta.pivotlow to mark major price turning points. Labels pivots as Higher High (HH), Lower High (LH), Lower Low (LL), or Higher Low (HL). Optionally overlays basic candle pattern names for visual context. 2. Trendline Logic Connects successive pivot highs/lows with real-time trendlines. Draws separate Uptrend and Downtrend lines with distinct colors. 3. Extended Projections Projects extended dashed lines from the last pivot using slope formulas: ATR-based (volatility) Stdev-based (dispersion) Linear Regression (trend best-fit) Or a Combined slope using user-defined weights. Color changes dynamically on breakout to visually signal momentum shifts. 4. ADX Trend Strength Filter Optional ADX filter disables trendline updates unless directional strength exceeds a threshold (e.g. 20+). Helps remove noise in sideways markets. ⚠️ Important Notes Backpainting Warning: This script includes a backpainting setting (backpaint) that may cause lines to appear "reliably predictive" in historical data. Backpainting does not repaint once the pivot is confirmed, but it still reflects a post-fact state. Use this feature cautiously in live trading decisions. Reused Code Attribution: Extended trendline concept and breakout color logic were inspired by publicly available open-source versions of LuxAlgo's trendline logic. Credit is given in the script comments and here as required. 🛠️ How to Use It Adjust Pivot Length for swing detection sensitivity. Toggle ADX filtering on or off to avoid choppy signals. Choose your preferred Slope Calculation Method. Use candlestick labels as potential entry signals near trendline retests or breaks. ✅ Why This Is More Than a Mashup This tool integrates several separate technical methods into one cohesive, customizable framework: It’s not just combining indicators, it’s engineering synergy between them. The slope and ADX filtering mechanics dynamically adjust to trend strength. Candlestick confirmation and labeling give visual, real-time trade confidence. It enhances open-source logic by adding modular slope options, ADX gating, pattern labeling, and user control. "Know the structure. Follow the strength. Trade with clarity. Auto-Trend Finder is your edge in the chaos."
Pine Script® göstergesi
herose4the tarafından
2
Supply & Demand Zones - [RealFact]Supply & Demand Zones - This indicator automatically detects potential Supply and Demand Zones based on price action characteristics such as imbalance, engulfing patterns, and structural shifts. It’s designed to help traders identify key areas of interest where price is likely to react. 🔍 Features: • Auto-detection of Demand (support) and Supply (resistance) zones • Adjustable zone length • Color-coded: Green for Demand zones, Red for Supply zones 🧠 Ideal For: • Price Action Traders • Order Block and Smart Money Strategy Users • Those trading using FVG or structural break models ⚠️ Note: This tool is intended for visual aid and market context analysis, not as a direct buy/sell signal. Always use it alongside your trading system and risk management plan. ✅ Created by
Pine Script® göstergesi
pengprakhon tarafından
1
NIFTY Option Buy Strategy MASTER v1This script is a complete option buying strategy framework for NIFTY, designed for both intraday and positional swing trades. 🔹 Built using multi-timeframe analysis (EMAs, MACD, RSI) 🔹 Combines key macro filters: India VIX, PCR, FII/DII net cash flows 🔹 Supports both Call (CE) and Put (PE) entries 🔹 Includes manual input dashboard for real-time market context 🔹 Trade logic includes: Bollinger Band breakouts Volume confirmation VWAP filtering EMA crossover + MACD alignment Resistance/support proximity from option chain (manual) 📈 Smart Trade Management: Multi-target system (e.g., exit 50% at RR=1, 50% at RR=2) Trailing stop-loss after target 1 hits Automatic exit on SL/TP or reverse signals Visual markers for all entries, exits, and stops 📊 Built-in Dashboard: Displays India VIX, PCR, FII/DII flows, and S/R levels Strike price selection (ATM + offset logic) 🧪 Ideal for backtesting, alerts, and real-time execution. Can be used with alerts + webhook for automated trading or signal generation. ⚠️ Note: This script is for educational purposes only. Always test on paper trading before going live.
Pine Script® göstergesi
aman_ghadge698 tarafından
DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations. --- 💡 Why I Created This Indicator As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term . What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later. Traditional DCA tracking tools exist, but they share similar limitations: Require manual data entry and complex spreadsheets Use fixed assumptions that don't reflect real market behavior Can't show future projections overlaid on actual price charts Lose the visual context of what's happening in the market Make compound growth feel abstract rather than tangible I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time. This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore. --- 🎯 What This Indicator Does This educational indicator provides DCA analysis tools. Users can input investment scenarios to study: Theoretical Performance: Educational calculations based on historical return data Comparative Analysis: Study differences between actual and theoretical scenarios Historical Projections: Theoretical projections for educational analysis (not predictions) Performance Metrics: CAGR, ROI, and other analytical metrics for study Historical Analysis: Calculates historical return data for reference purposes --- 🚀 Key Features Volatility-Adjusted Historical Return Calculation Analyzes 3-20 years of actual price data for any symbol Automatically detects high-volatility stocks (meme stocks, growth stocks) Uses median returns for volatile stocks, standard CAGR for stable stocks Provides conservative estimates when extreme outlier years are detected Smart fallback to manual percentages when data insufficient Customizable Performance Dashboard Educational DCA performance analysis with compound growth calculations Customizable table sizing (Tiny to Huge text options) 9 positioning options (Top/Middle/Bottom + Left/Center/Right) Theme-adaptive colors (automatically adjusts to dark/light mode) Multiple display layout options Future Projection System Visual future growth projections Timeframe-aware calculations (Daily/Weekly/Monthly charts) 1-30 year projection options Shows projected portfolio value and total investment amounts Investment Insights Performance vs benchmark comparison ROI from initial investment tracking Monthly average return analysis Investment milestone alerts (25%, 50%, 100% gains) Contribution tracking and next milestone indicators --- 📊 Step-by-Step Setup Guide 1. Investment Settings 💰 Initial Investment: Enter your starting lump sum (e.g., $60,000) Monthly Contribution: Set your regular DCA amount (e.g., $500/month) Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed % Historical Period: Select 3-20 years for auto calculations (default: 10 years) Start Year: When you began investing (e.g., 2020) Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000) 2. Display Settings 📊 Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right Visibility Toggles: Show/hide Main Table and Stats Table independently 3. Future Projection 🔮 Enable Projections: Toggle on to see future growth visualization Projection Years: Set 1-30 years ahead for analysis Live Example - NASDAQ:META Analysis: Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value --- 🔬 Pine Script Code Examples Core DCA Calculations: // Calculate total invested over time months_elapsed = (year - start_year) * 12 + month - 1 total_invested = initial_investment + (monthly_contribution * months_elapsed) // Compound growth formula for initial investment theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed) // Future Value of Annuity for monthly contributions monthly_rate = annual_return / 12 fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate) // Total expected value theoretical_total = theoretical_initial_growth + fv_contributions Volatility Detection Logic: // Detect extreme years for volatility adjustment extreme_years = 0 for i = 1 to historical_years yearly_return = ((price_current / price_i_years_ago) - 1) * 100 if yearly_return > 100 or yearly_return < -50 extreme_years += 1 // Use median approach for high volatility stocks high_volatility = (extreme_years / historical_years) > 0.2 calculated_return = high_volatility ? median_of_returns : standard_cagr Performance Metrics: // Calculate key performance indicators absolute_gain = actual_value - total_invested total_return_pct = (absolute_gain / total_invested) * 100 roi_initial = ((actual_value - initial_investment) / initial_investment) * 100 cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100 --- 📊 Real-World Examples See the indicator in action across different investment types: Stable Index Investments: AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking. MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections. MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies. NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used. High-Volatility Growth Stocks: NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods. NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections. NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments. Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods. --- 📈 Performance Metrics Explained Current Portfolio Value: Your actual investment worth today Expected Value: What you should have based on historical returns (Auto) or your target return (Manual) Total Invested: Your actual money invested (initial + all monthly contributions) Total Gains/Loss: Absolute dollar difference between current value and total invested Total Return %: Percentage gain/loss on your total invested amount ROI from Initial Investment: How your starting lump sum has performed CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy) vs Benchmark: How you're performing compared to the expected returns --- ⚠️ Important Notes & Limitations Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended) CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking --- 📚 Educational Use & Disclaimer This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns. Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes. EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions. --- © 2025 TradeVizion. All rights reserved.
Pine Script® göstergesi
TradeVizion tarafından
2
Higher Timeframe Market StructureHTF Market Structure – ZigZag, Break of Structure & Supply/Demand This powerful indicator is designed to identify higher-timeframe market structure using a combination of ZigZag patterns, Break of Structure (BOS) signals, and Supply/Demand zones. Key Features: Automatic detection of Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) Internal structure shifts based on Open or High/Low logic Supply and Demand zones plotted on the chart Break of Structure (BOS) lines with optional alerts Mitigation logic to mark or delete invalidated order blocks Customizable aggregation factor to view higher time frame structure on lower time frames How to Use: Focus on market structure and BOS to understand the current trend. Watch for internal shifts as early signals of potential reversals. Use ZigZag lines to connect swing highs and lows to visualize market rhythm. Supply zones (red) and Demand zones (green) are automatically drawn after structure breaks: Use Demand Zones in Bullish Markets for the highest probability entries. Use Supply Zones in Bearish Markets to align with the prevailing trend. Best Practices: Only use Demand Zones in Bullish markets and Supply Zones in Bearish markets for optimal results. Look for price action or reversal signals within these zones to refine your entries. Enable alerts to get notified on: New order blocks Internal shifts BOS events HH, HL, LL, LH formations Liquidity sweeps Customization Options: Aggregation Factor: Control how many candles are grouped for structure analysis. Zone Duration: Define how length of plotted zones. Mitigation Settings: Automatically delete or fade zones after mitigation. Colors: Choose custom colors for bullish and bearish zones and structure markers. This tool is ideal for traders who rely on price action, structure, and smart money concepts. Combine it with your own S&D strategy or integrate it with other confluence tools for even better precision.
Pine Script® göstergesi
The_Forex_Steward tarafından
4
EMA Cross CounterSure! Here's a professional English presentation for your EMA200 script, which you can use on TradingView, your website, or in a video description. Let me know if you want a more casual or more technical version. 📈 EMA200 Script Presentation (English) Title: 🔵 EMA200 Strategy – Powerful Trend Filter for Smart Traders Description: Welcome to the EMA200 Script, your essential tool for identifying trend direction and improving your trading decisions! The EMA200 (Exponential Moving Average over 200 periods) is one of the most reliable indicators used by professional traders to determine the overall market trend. This script is designed to help you: ✅ Identify Bullish or Bearish Conditions – Know whether the market is trending up or down based on price action relative to the EMA200. ✅ Filter Your Entries – Avoid counter-trend trades and focus only on high-probability setups aligned with the dominant trend. ✅ Enhance Any Strategy – Use the EMA200 as a standalone trend filter or combine it with your existing indicators for better precision.
Pine Script® göstergesi
Pangolin76 tarafından
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source** A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*. --- ### 🎯 Key Features: ✅ Classic RSI with custom smoothing ✅ Optional Bollinger Bands over RSI ✅ Built-in Divergence Detection (Regular Bullish/Bearish) ✅ Dynamic Buy/Sell Conditions based on RSI + MA cross ✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter) ✅ ATR-based strength filter and custom visualizations ✅ Works great on **crypto**, **forex**, or **indices** ✅ Fully open-source and beginner-friendly! --- ### 📊 Recommended Timeframes: 15min, 1H, 4H, Daily – test and adjust settings for your style. --- ### ⚙️ How to Use: 1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA. 2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation. 3. Divergences (optional) can confirm reversals. 4. Use ATR plot or your own trailing stop logic for exit strategy. --- 🔔 Alerts are built-in and ready to use. 📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script). --- 🧠 **Built by a trader, for traders.** Use this as a base and build your own version – or just trade it as is. --- --- 💬 **Feedback / Questions / Want to talk?** Feel free to message me on Telegram: 👉 (t.me/Ario_pinescript_pogramer) This is a clean version of RSI TrendSignal with improved alerts. It uses RSI cross with a smoothed moving average to generate filtered buy/sell signals. No external links or bots. Fully compliant with TradingView rules. 📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned
Pine Script® göstergesi
setbet215 tarafından
1
IU Pivot Zones + GMADESCRIPTION: IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move. The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic. USER INPUTS * Pivot point Lengths: Number of bars used to detect pivot highs/lows * Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones * GMA Length: Period for calculating the geometric moving averages based on highs and lows * Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones LOGIC OF THE INDICATOR: * Detects pivot highs and pivot lows using the user-defined length * Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone * If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support) * The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears * Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias * Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility WHY IT IS UNIQUE: * Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages * ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones * Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool * Real-time zone extension and disappearance logic based on price interaction HOW USER CAN BENEFIT FROM IT: * Spot high-probability breakout or reversal zones that price respects consistently * Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs * Build price action strategies around zone touches, breakouts, or rejections * Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels * Save time by avoiding manual marking of zones on charts across timeframes DISCLAIMER: This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Pine Script® göstergesi
Shivam_Mandrai tarafından
9
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution Strategy Overview This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade. Core Concepts • Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns. • Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals. • Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price. Key Features Fully customizable aggregation factor for zone detection Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels Optional removal of mitigated zones for cleaner charting Configurable trade mode (Long only, Short only, or Both) Support for trading sessions and date filtering Alerts for price entering supply or demand zones How to Use Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe). Enable Zones: Turn on supply and/or demand zones as needed. Set Execution Parameters: – Choose R-multiple (e.g., 2:1 risk-reward) – Or use a fixed take-profit price Define Trade Time Window: – Set the date and time ranges to restrict execution – Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York) Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility. Ideal For • Traders using Smart Money Concepts (SMC) • Those who value high-confluence entries • Intraday to swing traders looking for structure-based automation ⚠️ Important Notes • The strategy requires engulfing confirmation within the zone to enter a position. • This script does not repaint and executes trades on a bar close basis. • Backtest results may vary based on session filters and aggregation factor. © Attribution This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute it under the terms of that license.
Pine Script® stratejisi
The_Forex_Steward tarafından
Session-Based Sentiment Oscillator [TradeDots]Track, analyze, and monitor market sentiment across global trading sessions with this advanced multi-session sentiment analysis tool. This script provides session-specific sentiment readings for Asian (Tokyo), European (London), and US (New York) markets, combining price action, volume analysis, and volatility factors into a comprehensive sentiment oscillator. It is an original indicator designed to help traders understand regional market psychology and capitalize on cross-session sentiment shifts directly on TradingView. 📝 HOW IT WORKS 1. Multi-Component Sentiment Engine Price Action Momentum : Calculates normalized price movement relative to recent trading ranges, providing directional sentiment readings. Volume-Weighted Analysis : When volume data is available, incorporates volume flow direction to validate price-based sentiment signals. Volatility-Adjusted Factors : Accounts for changing market volatility conditions by comparing current ATR against historical averages. Weighted Combination : Merges all components using optimized weightings (Price: 1.0, Volume: 0.3, Volatility: 0.2) for balanced sentiment readings. 2. Session-Segregated Tracking Automatic Session Detection : Precisely identifies active trading sessions based on user-configured time parameters. Independent Calculations : Maintains separate sentiment accumulation for each major session, updated only during respective active hours. Historical Preservation : Stores session-specific sentiment values even when sessions are closed, enabling cross-session comparison. Real-Time Updates : Continuously processes sentiment during active sessions while preserving inactive session data. 3. Cross-Session Transition Analysis Sentiment Differential Detection : Monitors sentiment changes when transitioning between trading sessions. Configurable Thresholds : Generates signals only when sentiment shifts exceed user-defined minimum thresholds. Directional Signals : Provides distinct bullish and bearish transition alerts with visual markers. Smart Filtering : Applies smoothing algorithms to reduce false signals from minor sentiment variations. ⚙️ KEY FEATURES 1. Session-Specific Dashboard Real-Time Status Display : Shows current session activity (ACTIVE/CLOSED) for all three major sessions. Sentiment Percentages : Displays precise sentiment readings as percentages for easy interpretation. Strength Classification : Automatically categorizes sentiment as HIGH (>50%), MEDIUM (20-50%), or LOW (<20%). Customizable Positioning : Place dashboard in any corner with adjustable size options. 2. Advanced Signal Generation Transition Alerts : Triangle markers indicate significant sentiment shifts between sessions. Extreme Conditions : Diamond markers highlight overbought/oversold threshold breaches. Configurable Sensitivity : Adjust signal thresholds from 0.05 to 0.50 based on trading style. Alert Integration : Built-in TradingView alert conditions for automated notifications. 3. Forex Currency Strength Analysis Base/Quote Decomposition : For forex pairs, separates sentiment into individual currency strength components. Major Currency Support : Analyzes USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD strength relationships. Relative Strength Display : Shows which currency is driving pair movement during active sessions. 4. Visual Enhancement System Session Background Colors : Distinct background shading for each active trading session. Overbought/Oversold Zones : Configurable extreme sentiment level visualization with colored zones. Multi-Timeframe Compatibility : Works across all timeframes while maintaining session accuracy. Customizable Color Schemes : Full color customization for dashboard, signals, and plot elements. 🚀 HOW TO USE IT 1. Add the Script Search for "Session-Based Sentiment Oscillator " in the Indicators tab or manually add it to your chart. The indicator will appear in a separate pane below your main chart. 2. Configure Session Times Asian Session : Set Tokyo market hours (default: 00:00-09:00) based on your chart timezone. European Session : Configure London market hours (default: 07:00-16:00) for European analysis. US Session : Define New York market hours (default: 13:00-22:00) for American markets. Timezone Adjustment : Ensure session times match your broker's specifications and account for daylight saving changes. 3. Optimize Analysis Parameters Sentiment Period : Choose 5-50 bars (default: 14) for sentiment calculation lookback period. Smoothing Settings : Select 1-10 bars smoothing (default: 3) with SMA, EMA, or RMA options. Component Selection : Enable/disable volume analysis, price action, and volatility factors based on available data. Signal Sensitivity : Adjust threshold from 0.05-0.50 (default: 0.15) for transition signal generation. 4. Interpret Readings and Signals Positive Values : Indicate bullish sentiment for the active session. Negative Values : Suggest bearish sentiment conditions. Dashboard Status : Monitor which session is currently active and their respective sentiment strengths. Transition Signals : Watch for triangle markers indicating significant cross-session sentiment changes. Extreme Alerts : Note diamond markers when sentiment reaches overbought (>70%) or oversold (<-70%) levels. 5. Set Up Alerts Configure TradingView alerts for: - Bullish session transitions - Bearish session transitions - Overbought condition alerts - Oversold condition alerts ❗️LIMITATIONS 1. Data Dependency Volume Requirements : Volume-based analysis only functions when volume data is provided by your broker. Many forex brokers do not supply reliable volume data. Price Action Focus : In absence of volume data, sentiment calculations rely primarily on price movement and volatility factors. 2. Session Time Sensitivity Manual Adjustment Required : Session times must be manually updated for daylight saving time changes. Broker Variations : Different brokers may have slightly different session definitions requiring time parameter adjustments. 3. Ranging Market Limitations Trend Bias : Sentiment calculations may be less reliable during extended sideways or low-volatility market conditions. Lag Consideration : As with all sentiment indicators, readings may lag during rapid market transitions. 4. Regional Market Focus Major Session Coverage : Designed primarily for major global sessions; may not capture sentiment from smaller regional markets. Weekend Gaps : Does not account for weekend gap effects on sentiment calculations. ⚠️ RISK DISCLAIMER Trading and investing carry significant risk and can result in financial loss. The "Session-Based Sentiment Oscillator " is provided for informational and educational purposes only. It does not constitute financial advice. - Always conduct your own research and analysis - Use proper risk management and position sizing in all trades - Past sentiment patterns do not guarantee future market behavior - Combine this indicator with other technical and fundamental analysis tools - Consider overall market context and your personal risk tolerance This script is an original creation by TradeDots, published under the Mozilla Public License 2.0. Session-based sentiment analysis should be used as part of a comprehensive trading strategy. No single indicator can predict market movements with certainty. Exercise proper risk management and maintain realistic expectations about indicator performance across varying market conditions.
Pine Script® göstergesi
tradedots tarafından
Delta Magnet Zone LiteDelta Magnet Zone Lite is exactly what it sounds like. It is areas where price cold potentially act as a magnet zone for price. Delta Magnet Zone Lite is a lightweight yet powerful visual tool that highlights potential liquidity traps and high-probability reversal zones based on volume spikes and wick imbalances. Designed for precision traders, this indicator visually marks key “magnet” zones where price may react, reverse, or consolidate due to prior aggressive buying or selling activity. 🔹 Core Logic: Volume Spike Detection Identifies candles with significantly higher volume than the moving average (customizable). These are likely areas of institutional interest or stop-hunt events. Wick Ratio Analysis Measures the size of the upper or lower wick relative to the total candle range. When combined with volume spikes, this helps detect: Bullish Traps: Large lower wicks with strong buying volume Bearish Traps: Large upper wicks with strong selling volume Smart Zone Marking When trap conditions are met, the script draws a semi-transparent colored box (green for bullish, red for bearish) that extends forward in time, highlighting a magnet zone—a price area likely to be retested or respected by future price action. 🛠 Customization Options: Volume Spike Threshold Adjust the multiplier for defining what qualifies as "high volume" relative to the average. Wick Ratio Sensitivity Fine-tune how extreme the wick size must be to qualify as a trap. Zone Lifetime (Lookback) Control how many bars each zone remains active on the chart. Toggle Visibility Turn bullish or bearish zones on/off independently for clean charting. Ideal Use Cases: Spotting hidden liquidity zones Identifying exhaustion points in fast markets Tracking institutional order imbalances Enhancing confirmation for entry/exit signals Whether you're trading intraday breakouts or swing-level reversals, Delta Magnet Zone Lite brings clarity to key reaction levels derived from raw price and volume behavior.
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herose4the tarafından
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets. The Theoretical Foundation Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through: Hurst Exponent Calculation: H = log(R/S) / log(n/2) Where: R = Range of cumulative deviations S = Standard deviation n = Period length This measures market memory: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting (anti-persistent) behavior Fractal Dimension: D = 2 - H This quantifies market complexity, where higher dimensions indicate more chaotic behavior. Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences: Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor Where: φ = 0.618 (golden ratio) Fn = Fibonacci number (8, 13, 21, 34, 55) Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5 This creates oscillating spirals that contract and expand with market energy. The Volatility Cascade System Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands: Cascade Level Calculation: Level(i) = ATR(20) × φ^i Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels. Implementation Architecture Core Components: Fractal Analysis Engine Calculates Hurst exponent over user-defined periods Derives fractal dimension for complexity measurement Identifies market regime (trending/ranging/chaotic) Fibonacci Vortex Generator Creates 5 independent spiral oscillators Each spiral follows a Fibonacci period Volume amplification creates dynamic response Cascade Band System Up to 8 volatility levels Golden ratio expansion between levels Dynamic coloring based on fractal state Confluence Detection Identifies convergence of vortex and cascade levels Highlights high-probability reversal zones Real-time confluence strength calculation Signal Generation Logic The MFCV generates two primary signal types: Fractal Signals: Generated when: Hurst > 0.65 (strong trend) AND volatility expanding Hurst < 0.35 (mean reversion) AND RSI < 35 Trend strength > 0.4 AND vortex alignment Cascade Signals: Triggered by: RSI > 60 AND price > SMA(50) AND bearish vortex RSI < 40 AND price < SMA(50) AND bullish vortex Volatility expansion AND trend strength > 0.3 Both signals implement a 15-bar cooldown to prevent overtrading. Advanced Input System Mandelbrot Parameters: Cascade Levels (3-8): Controls number of volatility bands Crypto: 5-7 (high volatility) Indices: 4-5 (moderate volatility) Forex: 3-4 (low volatility) Hurst Period (20-200): Lookback for fractal calculation Scalping: 20-50 Day Trading: 50-100 Swing Trading: 100-150 Position Trading: 150-200 Cascade Ratio (1.0-3.0): Band width multiplier 1.618: Golden ratio (default) Higher values for trending markets Lower values for ranging markets Fractal Memory (21-233): Fibonacci retracement lookback Uses Fibonacci numbers for harmonic alignment Fibonacci Vortex Settings: Spiral Periods: Comma-separated Fibonacci sequence Fast: "5,8,13,21,34" (scalping) Standard: "8,13,21,34,55" (balanced) Extended: "13,21,34,55,89" (swing) Rotation Speed (0.1-2.0): Controls spiral oscillation frequency 0.618: Golden ratio (balanced) Higher = more signals, more noise Lower = smoother, fewer signals Volume Amplification: Enables dynamic spiral expansion Essential for stocks and crypto Disable for forex (no central volume) Visual System Architecture Cascade Bands: Multi-level volatility envelopes Gradient coloring from primary to secondary theme Transparency increases with distance from price Fill between bands shows fractal structure Vortex Spirals: 5 Fibonacci-period oscillators Blue above price (bullish pressure) Red below price (bearish pressure) Multiple display styles: Lines, Circles, Dots, Cross Dynamic Fibonacci Levels: Auto-updating retracement levels Smart update logic prevents disruption near levels Distance-based transparency (closer = more visible) Updates every 50 bars or on volatility spikes Confluence Zones: Highlighted boxes where indicators converge Stronger confluence = stronger support/resistance Key areas for reversal trades Professional Dashboard System Main Fractal Dashboard: Displays real-time: Hurst Exponent with market state Fractal Dimension with complexity level Volatility Cascade status Vortex rotation impact Market regime classification Signal strength percentage Active indicator levels Vortex Metrics Panel: Shows: Individual spiral deviations Convergence/divergence metrics Real-time vortex positioning Fibonacci period performance Fractal Metrics Display: Tracks: Dimension D value Market complexity rating Self-similarity strength Trend quality assessment Theory Guide Panel: Educational reference showing: Mandelbrot principles Fibonacci vortex concepts Dynamic trading suggestions Trading Applications Trend Following: High Hurst (>0.65) indicates strong trends Follow cascade band direction Use vortex spirals for entry timing Exit when Hurst drops below 0.5 Mean Reversion: Low Hurst (<0.35) signals reversal potential Trade toward vortex spiral convergence Use Fibonacci levels as targets Tighten stops in chaotic regimes Breakout Trading: Monitor cascade band compression Watch for vortex spiral alignment Volatility expansion confirms breakouts Use confluence zones for targets Risk Management: Position size based on fractal dimension Wider stops in high complexity markets Tighter stops when Hurst is extreme Scale out at Fibonacci levels Market-Specific Optimization Cryptocurrency: Cascade Levels: 5-7 Hurst Period: 50-100 Rotation Speed: 0.786-1.2 Enable volume amplification Stock Indices: Cascade Levels: 4-5 Hurst Period: 80-120 Rotation Speed: 0.5-0.786 Moderate cascade ratio Forex: Cascade Levels: 3-4 Hurst Period: 100-150 Rotation Speed: 0.382-0.618 Disable volume amplification Commodities: Cascade Levels: 4-6 Hurst Period: 60-100 Rotation Speed: 0.5-1.0 Seasonal adjustment consideration Innovation and Originality The MFCV represents several breakthrough innovations: First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory Unique synthesis of chaos theory and sacred geometry Novel application of Hurst exponent to spiral dynamics Dynamic Volatility Cascade System Golden ratio-based band expansion Multi-timeframe fractal analysis Self-adjusting to market conditions Volume-Amplified Vortex Spirals Revolutionary spiral calculation method Dynamic response to market participation Multiple Fibonacci period integration Intelligent Signal Generation Cooldown system prevents overtrading Multi-factor confirmation required Regime-aware signal filtering Professional Analytics Dashboard Institutional-grade metrics display Real-time fractal analysis Educational integration Development Journey Creating the MFCV involved overcoming numerous challenges: Mathematical Complexity: Implementing Hurst exponent calculations efficiently Visual Clarity: Displaying multiple indicators without cluttering Performance Optimization: Managing array operations and calculations Signal Quality: Balancing sensitivity with reliability User Experience: Making complex theory accessible The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability. Best Practices and Guidelines Start Simple: Use default settings initially Match Timeframe: Adjust parameters to your trading style Confirm Signals: Never trade MFCV signals in isolation Respect Regimes: Adapt strategy to market state Manage Risk: Use fractal dimension for position sizing Color Themes Six professional themes included: Fractal: Balanced blue/purple palette Golden: Warm Fibonacci-inspired colors Plasma: Vibrant modern aesthetics Cosmic: Dark mode optimized Matrix: Classic green terminal Fire: Heat map visualization Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results. The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose. Acknowledgments Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance. "The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV. — Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Pine Script® göstergesi
DskyzInvestments tarafından
15
Time LevelsTime Levels is a customizable TradingView indicator designed to mark critical intraday price levels based on specific time inputs. This tool helps traders identify significant Open/High/Low/Close (OHLC) levels, support & resistance (S&R) zones, and potential Judas Swing manipulation points—aligned with selected timeframes and adjusted to any time zone via UTC offset. 🔧 Key Features: OHLC/OLHC Levels: Automatically draws horizontal lines at the candle’s open price for up to four specified time points. Ideal for marking session opens, closes, or key intraday levels. Support & Resistance Zones: Highlights two time-based S&R levels that can help identify discount and premium pricing zones. Judas Swing Detection: Marks potential liquidity grab zones (Judas Swings) at three user-defined times, assisting in identifying manipulation and smart money entry points. Global Timezone Support: Includes a UTC offset input to align levels accurately with your trading session, regardless of your location. Full Customization: Personalize the color, style (solid, dashed, dotted), and thickness of each line independently for OHLC, S&R, and Judas levels. 🛠️ Use Cases: New York / London open price tracking ICT-based SMC level marking Predefined time-based liquidity level visualizations Institutional-level price reactions (e.g., during specific market opens) This indicator is best suited for intraday and short-term (especially ICT) traders looking to bring precision and consistency into their technical analysis framework.
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errcent tarafından
AMD Setup - Full (Long + Short) ICT ModelICTSNIPERKILLS! Accumulation, Manipulation, Distribution (AMD) Script! 1. Clarifies Structure: Accumulation, Manipulation, Distribution (AMD) The script visualizes the AMD framework: Accumulation → Price ranges inside Initial Balance (IB). Manipulation → Liquidity sweep above IB High or below IB Low. Distribution → Market Structure Shift (MSS) confirms a directional move. This gives you a narrative structure for each session, helping you avoid random trades. 🧠 2. Filters Out Noise with MSS Confirmation It waits for: A liquidity sweep (manipulation), Followed by a market structure shift (MSS), And then confirms an entry only after a candle closes beyond structure. This structure: Reduces false signals, Improves trade timing, Helps you align with smart money delivery. 🕘 3. Focuses on the Right Time Window (Initial Balance) You only engage after the 10:30 AM EST close, once the Initial Balance is formed.This aligns with ICT's focus on: Killzones (like 9:30–11:00), Avoiding early overtrading, Letting the market tip its hand first (through sweeps + MSS). This timing logic supports discipline and consistency. 🟢🔴 4. Marks Entries with Risk/Reward Guidance It plots: AMD SHORT / LONG entries after MSS + candle confirmation, Basic TP and SL visual markers using a static risk-reward (2:1), Optional Fair Value Gaps (FVGs) for refinement zones. While static, these help plan trades visually and frame targets quickly, especially if you're scalping or trading micro futures like MNQ. 📈 5. Alerts You in Real Time Instead of manually watching: You'll get alerts when sweeps or MSS setups appear. You can stay focused during the killzone or walk away and return when signals trigger. This supports patience and alert-based discipline. 💡 You already: Use 15M/1M execution, Wait for ERL or HOD/LOD sweeps, Look for MSS + CISD, Trade in killzones only, Target 50–62–70% Fibs with SMT/FVG confluence. This script:✅ Automates sweep + MSS detection✅ Plots AMD-based entries visually✅ Simplifies your killzone execution✅ Helps avoid FOMO by filtering setups✅ Keeps your journal entries clean with structure
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ictsniperkills tarafından
2
CAFX Liquidity Pro V1CAFX Liquidity Pro Indicator Precision Engineered for Smart Profit-Taking The CAFX Liquidity Pro Indicator is a powerful trading tool designed to help traders pinpoint high-probability liquidity zones, making it ideal for setting accurate and strategic take profit levels. By identifying where institutional interest is likely to reside, this indicator highlights the areas where price is most likely to react, reverse, or pause—giving you the edge in locking in profits before the market shifts. Whether you're scalping, day trading, or swing trading, the CAFX Liquidity Pro provides clear visual cues that simplify your decision-making process and enhance your trade management. With a focus on precision and reliability, it helps you avoid emotional exits and instead base your take profits on real market behavior and liquidity dynamics. Use CAFX Liquidity Pro to stay one step ahead—because knowing where to exit is just as important as knowing when to enter.
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connoralexanderfx tarafından
1
Trend Surge with Pullback FilterTrend Surge with Pullback Filter Overview Trend Surge with Pullback Filter is a price action-based strategy designed to enter strong trends not at the breakout, but at the first controlled pullback after a surge. It filters out noise by requiring momentum confirmation and low volatility conditions, aiming for better entry prices and reduced risk exposure. How It Works A strong upward trend is identified when the Rate of Change (ROC) exceeds a defined percentage (e.g., 2%). Instead of jumping into the trend immediately, the strategy waits for a pullback: the price must drop at least 1% below its recent high (over the past 3 candles). A low volatility environment is also required for entry — measured using ATR being below its 20-period average multiplied by a safety factor. If all three conditions are met (trend + pullback + quiet volatility), the system enters a long position. The trade is managed using a dynamic ATR-based stop-loss and a take-profit at 2x ATR. An automatic exit occurs after 30 bars if neither SL nor TP is hit. Key Features - Momentum-triggered trend detection via ROC - Smart pullback filter avoids overbought entries - Volatility-based filter to eliminate noise and choppy conditions - Dynamic risk-reward ratio with ATR-driven exit logic - Time-limited exposure using bar-based exit Parameter Explanation ROC Length (10): Looks for short-term price surges ROC Threshold (2.0%): Trend is considered valid if price increased more than 2% Pullback Lookback (3): Checks last 3 candles for price retracement Minimum Pullback % (1.0%): Entry only if price pulled back at least 1% ATR Length (14): Measures current volatility Low Volatility Multiplier (1.2): ATR must be below this multiple of its 20-period average Risk-Reward (2.0): Target is set at 2x the stop-loss distance Max Bars (30): Trade is closed automatically after 30 bars Originality Statement This strategy doesn’t enter at the trend start, unlike many momentum bots. Instead, it waits for the first market hesitation — a minor pullback under low volatility — before entering. This logic mimics how real traders often wait for a better entry after a breakout, avoiding emotional overbought buys. The combined use of ROC, dynamic pullback detection, and ATR-based environment filters makes it both practical and original for real-world trading. Disclaimer This strategy is intended for educational and research purposes. Backtest thoroughly and understand the logic before using with real capital.
Pine Script® stratejisi
CMATechnologies tarafından
ZigZag ProZigZag Pro is a precise market structure indicator that automatically detects two independent ZigZag patterns and highlights breakouts whenever significant highs or lows are breached. The indicator calculates two separate ZigZag structures in real time. ZigZag1 captures the broader market swings and is ideal for trend or swing trading. ZigZag2 is optional and reacts more quickly – perfect for intraday or scalping setups. Both layers are fully customizable in terms of depth, color, and line width. What makes this tool especially useful: whenever a previous swing high (for long trades) or swing low (for short trades) is broken, the indicator draws a horizontal breakout line on the chart. This makes it easy to spot structural breakouts and take advantage of potential momentum moves. ZigZag Pro is designed for traders who rely on clean, rule-based market structure — whether you're trading classic breakouts, smart money concepts, or simply want a clearer view of trend shifts. The visuals are minimal, responsive, and suitable for any timeframe.
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Jonny86FXPro tarafından
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD) Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis The Revolutionary Concept: When Physics Meets Trading After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits. The Core Innovation: Ergodic Theory Applied to Markets What Makes Markets Ergodic or Non-Ergodic? In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading: Ergodic Markets (Mean-Reverting) - Time averages equal ensemble averages - Historical patterns repeat reliably - Price oscillates around equilibrium - Traditional indicators work well Non-Ergodic Markets (Trending) - Path dependency dominates - History doesn't predict future - Price creates new equilibrium levels - Momentum strategies excel The Mathematical Framework The Ergodic Score combines three critical divergences: Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3 Where: Price Divergence: How far current price deviates from market consensus Return Divergence: Momentum differential between instrument and market Volatility Divergence: Volatility regime misalignment Market Stress: Adaptive multiplier based on current conditions The Ensemble Analysis Revolution Beyond Single-Instrument Analysis Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach: Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves Filters False Signals: Requires broader market confirmation Identifies Regime Shifts: Detects when entire market structure changes Provides Context: Shows if moves are isolated or systemic Dynamic Threshold Adaptation Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions: Base Threshold = SMA(Ergodic Score, Lookback × 3) Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity Final Threshold = Smoothed(Base + Adaptive) This creates context-aware signals that remain effective across different market environments. The Confidence Engine: Know Your Signal Quality Multi-Factor Confidence Scoring Every signal receives a confidence score based on: Signal Clarity (0-35%): How decisively the ergodic threshold is crossed Momentum Strength (0-25%): Rate of ergodic change Volatility Alignment (0-20%): Whether volatility supports the signal Market Quality (0-20%): Price convergence and path dependency factors Real-Time Confidence Updates The Live Confidence metric continuously updates, showing: - Current opportunity quality - Market state clarity - Historical performance influence - Signal recency boost - Visual Intelligence System Adaptive Ergodic Field Bands Dynamic bands that expand and contract based on market state: Primary Color: Ergodic state (mean-reverting) Danger Color: Non-ergodic state (trending) Band Width: Expected price movement range Squeeze Indicators: Volatility compression warnings Quantum Wave Ribbons Triple EMA system (8, 21, 55) revealing market flow: Compressed Ribbons: Consolidation imminent Expanding Ribbons: Directional move developing Color Coding: Matches current ergodic state Phase Transition Signals Clear entry/exit markers at regime changes: Bull Signals: Ergodic restoration (mean reversion opportunity) Bear Signals: Ergodic break (trend following opportunity) Confidence Labels: Percentage showing signal quality Visual Intensity: Stronger signals = deeper colors Professional Dashboard Suite Main Analytics Panel (Top Right) Market State Monitor - Current regime (Ergodic/Non-Ergodic) - Ergodic score with threshold - Path dependency strength - Quantum coherence percentage Divergence Metrics - Price divergence with severity - Volatility regime classification - Strategy mode recommendation - Signal strength indicator Live Intelligence - Real-time confidence score - Color-coded risk levels - Dynamic strategy suggestions Performance Tracking (Left Panel) Signal Analytics - Total historical signals - Win rate with W/L breakdown - Current streak tracking - Closed trade counter Regime Analysis - Current market behavior - Bars since last signal - Recommended actions - Average confidence trends Strategy Command Center (Bottom Right) Adaptive Recommendations - Active strategy mode - Primary approach (mean reversion/momentum) - Suggested indicators ("weapons") - Entry/exit methodology - Risk management guidance - Comprehensive Input Guide Core Algorithm Parameters Analysis Period (10-100 bars) Scalping (10-15): Ultra-responsive, more signals, higher noise Day Trading (20-30): Balanced sensitivity and stability Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes Divergence Threshold (0.5-5.0) Hair Trigger (0.5-1.0): Catches every wiggle, many false signals Balanced (1.5-2.5): Good signal-to-noise ratio Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance Path Memory (20-200 bars) Short Memory (20-50): Recent behavior focus, quick adaptation Medium Memory (50-100): Balanced historical context Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag Signal Spacing (5-50 bars) Aggressive (5-10): Allows rapid-fire signals Normal (15-25): Prevents clustering, maintains flow Conservative (30-50): Major setups only Default: 15 - optimal trade frequency Ensemble Configuration Select markets for consensus analysis: SPY: Broad market sentiment QQQ: Technology leadership IWM: Small-cap risk appetite DIA: Blue-chip stability More instruments = stronger consensus but potentially diluted signals Visual Customization Color Themes (6 professional options): Quantum: Cyan/Pink - Modern trading aesthetic Matrix: Green/Red - Classic terminal look Heat: Blue/Red - Temperature metaphor Neon: Cyan/Magenta - High contrast Ocean: Turquoise/Coral - Calming palette Sunset: Red-orange/Teal - Warm gradients Display Controls: - Toggle each visual component - Adjust transparency levels - Scale dashboard text - Show/hide confidence scores - Trading Strategies by Market State - Ergodic State Strategy (Primary Color Bands) Market Characteristics - Price oscillates predictably - Support/resistance hold - Volume patterns repeat - Mean reversion dominates Optimal Approach Entry: Fade moves at band extremes Target: Middle band (equilibrium) Stop: Just beyond outer bands Size: Full confidence-based position Recommended Tools - RSI for oversold/overbought - Bollinger Bands for extremes - Volume profile for levels - Non-Ergodic State Strategy (Danger Color Bands) Market Characteristics - Price trends persistently - Levels break decisively - Volume confirms direction - Momentum accelerates Optimal Approach Entry: Breakout from bands Target: Trail with expanding bands Stop: Inside opposite band Size: Scale in with trend Recommended Tools - Moving average alignment - ADX for trend strength - MACD for momentum - Advanced Features Explained Quantum Coherence Metric Measures phase alignment between individual and ensemble behavior: 80-100%: Perfect sync - strong mean reversion setup 50-80%: Moderate alignment - mixed signals 0-50%: Decoherence - trending behavior likely Path Dependency Analysis Quantifies how much history influences current price: Low (<30%): Technical patterns reliable Medium (30-50%): Mixed influences High (>50%): Fundamental shift occurring Volatility Regime Classification Contextualizes current volatility: Normal: Standard strategies apply Elevated: Widen stops, reduce size Extreme: Defensive mode required Signal Strength Indicator Real-time opportunity quality: - Distance from threshold - Momentum acceleration - Cross-validation factors Risk Management Framework Position Sizing by Confidence 90%+ confidence = 100% position size 70-90% confidence = 75% position size 50-70% confidence = 50% position size <50% confidence = 25% or skip Dynamic Stop Placement Ergodic State: ATR × 1.0 from entry Non-Ergodic State: ATR × 2.0 from entry Volatility Adjustment: Multiply by current regime Multi-Timeframe Alignment - Check higher timeframe regime - Confirm ensemble consensus - Verify volume participation - Align with major levels What Makes EMD Unique Original Contributions First Ergodic Theory Trading Application: Transforms abstract physics into practical signals Ensemble Market Analysis: Revolutionary multi-market divergence system Adaptive Confidence Engine: Institutional-grade signal quality metrics Quantum Coherence: Novel market alignment measurement Smart Signal Management: Prevents clustering while maintaining responsiveness Technical Innovations Dynamic Threshold Adaptation: Self-adjusting sensitivity Path Memory Integration: Historical dependency weighting Stress-Adjusted Scoring: Market condition normalization Real-Time Performance Tracking: Built-in strategy analytics Optimization Guidelines By Timeframe Scalping (1-5 min) Period: 10-15 Threshold: 0.5-1.0 Memory: 20-30 Spacing: 5-10 Day Trading (5-60 min) Period: 20-30 Threshold: 1.5-2.5 Memory: 40-60 Spacing: 15-20 Swing Trading (1H-1D) Period: 40-60 Threshold: 2.0-3.0 Memory: 80-120 Spacing: 25-35 Position Trading (1D-1W) Period: 60-100 Threshold: 3.0-5.0 Memory: 100-200 Spacing: 40-50 By Market Condition Trending Markets - Increase threshold - Extend memory - Focus on breaks Ranging Markets - Decrease threshold - Shorten memory - Focus on restores Volatile Markets - Increase spacing - Raise confidence requirement - Reduce position size - Integration with Other Analysis - Complementary Indicators For Ergodic States - RSI divergences - Bollinger Band squeezes - Volume profile nodes - Support/resistance levels For Non-Ergodic States - Moving average ribbons - Trend strength indicators - Momentum oscillators - Breakout patterns - Fundamental Alignment - Check economic calendar - Monitor sector rotation - Consider market themes - Evaluate risk sentiment Troubleshooting Guide Too Many Signals: - Increase threshold - Extend signal spacing - Raise confidence minimum Missing Opportunities - Decrease threshold - Reduce signal spacing - Check ensemble settings Poor Win Rate - Verify timeframe alignment - Confirm volume participation - Review risk management Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose. This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques. Transform market chaos into trading clarity with Ergodic Market Divergence. Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Pine Script® göstergesi
DskyzInvestments tarafından
4
Multi-Timeframe Opening Dots with PlotcharPlot clean, smart dots that mark where the real action starts — the opening levels of the three higher timeframes above your current chart. How it works: Automatically grabs the next 3 higher timeframes. Drops a slick dot right at each opening price — but only while that bar is still active. Color-coded at a glance: Price above open? → green dot. Price below open? → red dot. Why it’s useful: Get instant visual cues on higher timeframe opens — powerful markers for support, resistance, and directional bias. Perfect for intraday traders and swing strategists who want to stay synced with the big picture.
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Vaenvos tarafından
1