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חפש סקריפטים עבור "smart"

Smart Dollar Cost Averaging DashboardThis closed-source TradingView indicator implements a comprehensive Dollar Cost Averaging (DCA) savings plan simulation designed to automate systematic investments. The script allows users to set a fixed investment amount and choose a customizable interval—weekly, monthly, or quarterly—at which purchases are simulated against historical or live price data. The core functionality calculates the average buy-in price dynamically by tracking cumulative invested capital and total acquired shares, providing a true average cost basis rather than simple price signals. This average price is visualized as a persistent, non-draggable horizontal line on the chart, enabling traders to intuitively compare the market price to their average entry point. A movable and toggleable dashboard accompanies the indicator, delivering real-time metrics including total investment, number of purchases, portfolio value, profit/loss both in absolute and percentage terms, and the price gap relative to the computed average buy-in. This transparency helps users understand their position’s health and supports disciplined long-term investment strategies. This script stands unique by combining flexible periodic investment scheduling with real capital calculations and detailed, easy-to-read visual feedback that is rarely bundled so intuitively in similar scripts. Unlike many open-source trend-following or scalping tools, this indicator focuses on systematic investment and passive portfolio growth, ideal for investors pursuing dollar cost averaging. Unlike standard buy/sell signal creators or simplistic moving average crossovers, this script models actual cash flow deployment and quantifies performance in real-time with a clean, professional UI. Its originality lies in marrying realistic capital flow simulation with intuitive visualization and multi-interval flexibility. How It Works: Tracks virtual investments of fixed cash amounts at user-defined intervals Converts invested amounts into shares based on closing prices, accumulating holding size Recalculates weighted average purchase price after each simulated buy Continuously displays the average buy-in as a stable graphic element on any price chart Offers detailed investment metrics through an interactive dashboard overlay Supports weekly, monthly, and quarterly investment cadences with user-selectable investment days Use Cases: Ideal for investors employing systematic savings plans to build long-term positions Fits cryptocurrency, stock, ETF, and index investments on TradingView Supports financial education by illustrating dollar cost averaging principles visually Facilitates performance tracking for passive investors who prioritize consistent buying over timing The script is an advanced tool meeting a distinct trading niche: systematic, cash-based, passive investment modeling with transparency and user control. This originality and usefulness justify the closed-source mode to protect intellectual property.
אינדיקטור Pine Script®
מאת ‎paulscht67‎
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.**
אינדיקטור Pine Script®
מאת ‎Smart-Day-Trader‎
Hidden Impulse═══════════════════════════════════════════════════════════════════ HIDDEN IMPULSE - Multi-Timeframe Momentum Detection System ═══════════════════════════════════════════════════════════════════ OVERVIEW Hidden Impulse is an advanced momentum oscillator that combines the Schaff Trend Cycle (STC) and Force Index into a comprehensive multi-timeframe trading system. Unlike standard implementations of these indicators, this script introduces three distinct trading setups with specific entry conditions, multi-timeframe confirmation, and trend filtering. ═══════════════════════════════════════════════════════════════════ ORIGINALITY & KEY FEATURES This indicator is original in the following ways: 1. DUAL-TIMEFRAME STC ANALYSIS Standard STC implementations work on a single timeframe. This script simultaneously analyzes STC on both your trading timeframe and a higher timeframe, providing trend context and filtering out low-probability signals. 2. FORCE INDEX INTEGRATION The script combines STC with Force Index (volume-weighted price momentum) to confirm the strength behind price moves. This combination helps identify when momentum shifts are backed by genuine buying/selling pressure. 3. THREE DISTINCT TRADING SETUPS Rather than generic overbought/oversold signals, the indicator provides three specific, rule-based setups: - Setup A: Classic trend-following entries with multi-timeframe confirmation - Setup B: Divergence-based reversal entries (highest probability) - Setup C: Mean-reversion bounce trades at extreme levels 4. INTELLIGENT FILTERING All signals are filtered through: - 50 EMA trend direction (prevents counter-trend trades) - Higher timeframe STC alignment (ensures macro trend agreement) - Force Index confirmation (validates volume support) ═══════════════════════════════════════════════════════════════════ HOW IT WORKS - TECHNICAL EXPLANATION SCHAFF TREND CYCLE (STC) CALCULATION: The STC is a cyclical oscillator that combines MACD concepts with stochastic smoothing to create earlier and smoother trend signals. Step 1: Calculate MACD - Fast MA = EMA(close, Length1) — default 23 - Slow MA = EMA(close, Length2) — default 50 - MACD Line = Fast MA - Slow MA Step 2: First Stochastic Smoothing - Apply stochastic calculation to MACD - Stoch1 = 100 × (MACD - Lowest(MACD, Smoothing)) / (Highest(MACD, Smoothing) - Lowest(MACD, Smoothing)) - Smooth result with EMA(Stoch1, Smoothing) — default 10 Step 3: Second Stochastic Smoothing - Apply stochastic calculation again to the smoothed stochastic - This creates the final STC value between 0-100 The dual stochastic smoothing makes STC more responsive than MACD while being smoother than traditional stochastics. FORCE INDEX CALCULATION: Force Index measures the power behind price movements by incorporating volume: Force Raw = (Close - Close ) × Volume Force Index = EMA(Force Raw, Period) — default 13 Interpretation: - Positive Force Index = Buying pressure (bulls in control) - Negative Force Index = Selling pressure (bears in control) - Force Index crossing zero = Momentum shift - Divergences with price = Weakening momentum (reversal signal) TREND FILTER: A 50-period EMA serves as the trend filter: - Price above EMA50 = Uptrend → Only LONG signals allowed - Price below EMA50 = Downtrend → Only SHORT signals allowed This prevents counter-trend trading which accounts for most losing trades. ═══════════════════════════════════════════════════════════════════ THE THREE TRADING SETUPS - DETAILED SETUP A: CLASSIC MOMENTUM ENTRY Concept: Enter when STC exits oversold/overbought zones with trend confirmation LONG CONDITIONS: 1. Higher timeframe STC > 25 (macro trend is up) 2. Primary timeframe STC crosses above 25 (momentum turning up) 3. Force Index crosses above 0 OR already positive (volume confirms) 4. Price above 50 EMA (local trend is up) SHORT CONDITIONS: 1. Higher timeframe STC < 75 (macro trend is down) 2. Primary timeframe STC crosses below 75 (momentum turning down) 3. Force Index crosses below 0 OR already negative (volume confirms) 4. Price below 50 EMA (local trend is down) Best for: Trending markets, continuation trades Win rate: Moderate (60-65%) Risk/Reward: 1:2 to 1:3 ─────────────────────────────────────────────────────────────────── SETUP B: DIVERGENCE REVERSAL (HIGHEST PROBABILITY) Concept: Identify exhaustion points where price makes new extremes but momentum (Force Index) fails to confirm BULLISH DIVERGENCE: 1. Price makes a lower low (LL) over 10 bars 2. Force Index makes a higher low (HL) — refuses to follow price down 3. STC is below 25 (oversold condition) Trigger: STC starts rising AND Force Index crosses above zero BEARISH DIVERGENCE: 1. Price makes a higher high (HH) over 10 bars 2. Force Index makes a lower high (LH) — refuses to follow price up 3. STC is above 75 (overbought condition) Trigger: STC starts falling AND Force Index crosses below zero Why this works: Divergences signal that the current trend is losing steam. When volume (Force Index) doesn't confirm new price extremes, a reversal is likely. Best for: Reversal trading, range-bound markets Win rate: High (70-75%) Risk/Reward: 1:3 to 1:5 ─────────────────────────────────────────────────────────────────── SETUP C: QUICK BOUNCE AT EXTREMES Concept: Catch rapid mean-reversion moves when price touches EMA50 in extreme STC zones LONG CONDITIONS: 1. Price touches 50 EMA from above (pullback in uptrend) 2. STC < 15 (extreme oversold) 3. Force Index > 0 (buyers stepping in) SHORT CONDITIONS: 1. Price touches 50 EMA from below (pullback in downtrend) 2. STC > 85 (extreme overbought) 3. Force Index < 0 (sellers stepping in) Best for: Scalping, quick mean-reversion trades Win rate: Moderate (55-60%) Risk/Reward: 1:1 to 1:2 Note: Use tighter stops and quick profit-taking ═══════════════════════════════════════════════════════════════════ HOW TO USE THE INDICATOR STEP 1: CONFIGURE TIMEFRAMES Primary Timeframe (STC - Primary Timeframe): - Leave empty to use your current chart timeframe - This is where you'll take trades Higher Timeframe (STC - Higher Timeframe): - Default: 30 minutes - Recommended ratios: * 5min chart → 30min higher TF * 15min chart → 1H higher TF * 1H chart → 4H higher TF * Daily chart → Weekly higher TF ─────────────────────────────────────────────────────────────────── STEP 2: ADJUST STC PARAMETERS FOR YOUR MARKET Default (23/50/10) works well for stocks and forex, but adjust for: CRYPTO (volatile): - Length 1: 15 - Length 2: 35 - Smoothing: 8 (Faster response for rapid price movements) STOCKS (standard): - Length 1: 23 - Length 2: 50 - Smoothing: 10 (Balanced settings) FOREX MAJORS (slower): - Length 1: 30 - Length 2: 60 - Smoothing: 12 (Filters out noise in 24/7 markets) ─────────────────────────────────────────────────────────────────── STEP 3: ENABLE YOUR PREFERRED SETUPS Toggle setups based on your trading style: Conservative Trader: ✓ Setup B (Divergence) — highest win rate ✗ Setup A (Classic) — only in strong trends ✗ Setup C (Bounce) — too aggressive Trend Trader: ✓ Setup A (Classic) — primary signals ✓ Setup B (Divergence) — for entries on pullbacks ✗ Setup C (Bounce) — not suitable for trending Scalper: ✓ Setup C (Bounce) — quick in-and-out ✓ Setup B (Divergence) — high probability scalps ✗ Setup A (Classic) — too slow ─────────────────────────────────────────────────────────────────── STEP 4: READ THE SIGNALS ON THE CHART: Labels appear when conditions are met: Green labels: - "LONG A" — Setup A long entry - "LONG B DIV" — Setup B divergence long (best signal) - "LONG C" — Setup C bounce long Red labels: - "SHORT A" — Setup A short entry - "SHORT B DIV" — Setup B divergence short (best signal) - "SHORT C" — Setup C bounce short IN THE INDICATOR PANEL (bottom): - Blue line = Primary timeframe STC - Orange dots = Higher timeframe STC (optional) - Green/Red bars = Force Index histogram - Dashed lines at 25/75 = Entry/Exit zones - Background shading = Oversold (green) / Overbought (red) INFO TABLE (top-right corner): Shows real-time status: - STC values for both timeframes - Force Index direction - Price position vs EMA - Current trend direction - Active signal type ═══════════════════════════════════════════════════════════════════ TRADING STRATEGY & RISK MANAGEMENT ENTRY RULES: Priority ranking (best to worst): 1st: Setup B (Divergence) — wait for these 2nd: Setup A (Classic) — in confirmed trends only 3rd: Setup C (Bounce) — scalping only Confirmation checklist before entry: ☑ Signal label appears on chart ☑ TREND in info table matches signal direction ☑ Higher timeframe STC aligned (check orange dots or table) ☑ Force Index confirming (check histogram color) ─────────────────────────────────────────────────────────────────── STOP LOSS PLACEMENT: Setup A (Classic): - LONG: Below recent swing low - SHORT: Above recent swing high - Typical: 1-2 ATR distance Setup B (Divergence): - LONG: Below the divergence low - SHORT: Above the divergence high - Typical: 0.5-1.5 ATR distance Setup C (Bounce): - LONG: 5-10 pips below EMA50 - SHORT: 5-10 pips above EMA50 - Typical: 0.3-0.8 ATR distance ─────────────────────────────────────────────────────────────────── TAKE PROFIT TARGETS: Conservative approach: - Exit when STC reaches opposite level - LONG: Exit when STC > 75 - SHORT: Exit when STC < 25 Aggressive approach: - Hold until opposite signal appears - Trail stop as STC moves in your favor Partial profits: - Take 50% at 1:2 risk/reward - Let remaining 50% run to target ─────────────────────────────────────────────────────────────────── WHAT TO AVOID: ❌ Trading Setup A in sideways/choppy markets → Wait for clear trend or use Setup B only ❌ Ignoring higher timeframe STC → Always check orange dots align with your direction ❌ Taking signals against the major trend → If weekly trend is down, be cautious with longs ❌ Overtrading Setup C → Maximum 2-3 bounce trades per session ❌ Trading during low volume periods → Force Index becomes unreliable ═══════════════════════════════════════════════════════════════════ ALERTS CONFIGURATION The indicator includes 8 alert types: Individual setup alerts: - "Setup A - LONG" / "Setup A - SHORT" - "Setup B - DIV LONG" / "Setup B - DIV SHORT" ⭐ recommended - "Setup C - BOUNCE LONG" / "Setup C - BOUNCE SHORT" Combined alerts: - "ANY LONG" — fires on any long signal - "ANY SHORT" — fires on any short signal Recommended alert setup: - Create "Setup B - DIV LONG" and "Setup B - DIV SHORT" alerts - These are the highest probability signals - Set "Once Per Bar Close" to avoid false alerts ═══════════════════════════════════════════════════════════════════ VISUALIZATION SETTINGS Show Labels on Chart: Toggle on/off the signal labels (green/red) Disable for cleaner chart once you're familiar with the indicator Show Higher TF STC: Toggle the orange dots showing higher timeframe STC Useful for visual confirmation of multi-timeframe alignment Info Panel: Cannot be disabled — always shows current status Positioned top-right to avoid chart interference ═══════════════════════════════════════════════════════════════════ EXAMPLE TRADE WALKTHROUGH SETUP B DIVERGENCE LONG EXAMPLE: 1. Market Context: - Price in downtrend, below 50 EMA - Multiple lower lows forming - STC below 25 (oversold) 2. Divergence Formation: - Price makes new low at $45.20 - Force Index refuses to make new low (higher low forms) - This indicates selling pressure weakening 3. Signal Trigger: - STC starts turning up - Force Index crosses above zero - Label appears: "LONG B DIV" 4. Trade Execution: - Entry: $45.50 (current price at signal) - Stop Loss: $44.80 (below divergence low) - Target 1: $47.90 (STC reaches 75) — risk/reward 1:3.4 - Target 2: Opposite signal or trail stop 5. Trade Management: - Price rallies to $47.20 - STC reaches 68 (approaching target zone) - Take 50% profit, move stop to breakeven - Exit remaining at $48.10 when STC crosses 75 Result: 3.7R gain ═══════════════════════════════════════════════════════════════════ ADVANCED TIPS 1. MULTI-TIMEFRAME CONFLUENCE For highest probability trades, wait for: - Primary TF signal - Higher TF STC aligned (>25 for longs, <75 for shorts) - Even higher TF trend in same direction (manual check) 2. VOLUME CONFIRMATION Watch the Force Index histogram: - Increasing bar size = Strengthening momentum - Decreasing bar size = Weakening momentum - Use this to gauge signal strength 3. AVOID THESE MARKET CONDITIONS - Major news events (Force Index becomes erratic) - Market open first 30 minutes (volatility spikes) - Low liquidity instruments (Force Index unreliable) - Extreme trending days (wait for pullbacks) 4. COMBINE WITH SUPPORT/RESISTANCE Best signals occur near: - Key horizontal levels - Fibonacci retracements - Previous day's high/low - Psychological round numbers 5. SESSION AWARENESS - Asia session: Use lower timeframes, Setup C works well - London session: Setup A and B both effective - New York session: All setups work, highest volume ═══════════════════════════════════════════════════════════════════ INDICATOR WINDOWS LAYOUT MAIN CHART: - Price action - 50 EMA (green/red) - Signal labels - Info panel INDICATOR WINDOW: - STC oscillator (blue line, 0-100 scale) - Higher TF STC (orange dots, optional) - Force Index histogram (green/red bars) - Reference levels (25, 50, 75) - Background zones (green oversold, red overbought) ═══════════════════════════════════════════════════════════════════ PERFORMANCE OPTIMIZATION For best results: Backtesting: - Test on your specific instrument and timeframe - Adjust STC parameters if win rate < 55% - Record which setup works best for your market Position Sizing: - Risk 1-2% per trade - Setup B can use 2% risk (higher win rate) - Setup C should use 1% risk (lower win rate) Trade Frequency: - Setup B: 2-5 signals per week (be patient) - Setup A: 5-10 signals per week - Setup C: 10+ signals per week (scalping) ═══════════════════════════════════════════════════════════════════ CREDITS & REFERENCES This indicator builds upon established technical analysis concepts: Schaff Trend Cycle: - Developed by Doug Schaff (1996) - Original concept published in Technical Analysis of Stocks & Commodities - Implementation based on standard STC formula Force Index: - Developed by Dr. Alexander Elder - Described in "Trading for a Living" (1993) - Classic volume-momentum indicator The multi-timeframe integration, three-setup system, and specific entry conditions are original contributions of this indicator. ═══════════════════════════════════════════════════════════════════ DISCLAIMER This indicator is a technical analysis tool and does not guarantee profits. Past performance is not indicative of future results. Always: - Use proper risk management - Test on demo account first - Combine with fundamental analysis - Never risk more than you can afford to lose ═══════════════════════════════════════════════════════════════════ SUPPORT & QUESTIONS If you find this indicator helpful, please: - Leave a like and comment - Share your feedback and results - Report any bugs or issues For questions about usage or optimization for specific markets, feel free to comment below. ═════════════════════════════════════════════════════════════
אינדיקטור Pine Script®
מאת ‎Smart-Day-Trader‎
Smart Inside Bar Zones by Dinkan🔹 How It Works An Inside Bar is formed when a candle’s high and low are completely within the previous candle’s range. The indicator detects this structure in real time, creates a visual box around it, and extends the zone until the pattern is broken. Inside Bar candles can be optionally highlighted with a custom color to make them stand out clearly on the chart. 🔹 Features ✅ Automatic Inside Bar detection ✅ Dynamic Inside Bar zone boxes with custom fill & border color ✅ Inside candle body highlighting with user-defined color ✅ Adjustable transparency and border style ✅ Option to display only the latest Inside Bar zone for cleaner charts 🔹 Usage Traders can use Inside Bar zones to: Study price compression and breakout regions Observe range behavior and trend continuation setups Combine with other tools like volume or support/resistance analysis 🔹 Customization Change box fill and border color Adjust Inside Candle color for better visibility Set transparency and choose whether to show all or only the latest box ⚠️ Disclaimer This script is intended for market structure visualization and educational purposes only. It does not generate trading signals or financial advice. Always perform your own analysis and risk management before making trading decisions.
אינדיקטור Pine Script®
מאת ‎DinkanWorld‎
TrendShield Pro | DinkanWorldSmart Trailing Trend System Powered by EMA + ATR TrendShield Pro is a powerful trend detection and trailing stop indicator designed for traders who rely on pure price movement and volatility tracking. It dynamically adapts to market conditions using a combination of EMA (Exponential Moving Average) and ATR (Average True Range) to identify the active trend and place a visual trailing stop line. 🔍 How It Works TrendShield Pro combines trend direction and volatility to create a self-adjusting trailing system: EMA (Exponential Moving Average): Smooths price fluctuations and identifies the overall market bias. ATR (Average True Range): Measures volatility to determine how far the trailing stop should follow the trend. Dynamic Bands: Two invisible thresholds are formed — up and down — around the EMA using the ATR and your chosen Factor value. Trailing Logic: When the EMA is rising, the Trailing Stop (TUp) locks in higher lows. When the EMA is falling, the Trailing Stop (TDown) locks in lower highs. The indicator switches trend automatically based on price crossing these trailing levels. 🧭 Visuals & Features Green Trailing Line (Demand Trend): Indicates an active bullish trend. Red Trailing Line (Supply Trend): Indicates an active bearish trend. Arrow Signals: 🟢 Up Arrow → Bullish Trend Reversal 🔴 Down Arrow → Bearish Trend Reversal Diamond Markers: Show points where the trailing line shifts, marking dynamic volatility changes. ⚙️ Inputs Input Description EMA Period Length of the Exponential Moving Average ATR Period Period used for Average True Range calculation Factor Multiplier for ATR-based volatility expansion
אינדיקטור Pine Script®
מאת ‎DinkanWorld‎
Smart Breakout Detector: Trendline Retest & Angle FilteringDetect trendline breakouts with two important filtering controls: retest validation and angle filtering. Require multiple price retests (2-4 touches) before a trendline is considered valid, eliminating weak single-touch lines. Set precise angle limits to filter out unreliable steep or shallow trendlines. Three independent timeframe sets (fast/medium/slow) with customizable pivot lengths allow you to get low risk entry point for both short-term and major trend continuations/reversals. ═══════════════════════════════════════════ CORE METHODOLOGY ═══════════════════════════════════════════ This indicator identifies trendline breakouts using two configurable filtering parameters that are uncommon in publicly available indicators: 1. RETEST VALIDATION Requires a specified number of price touches (2-4) before considering a trendline valid. This reduces false signals from randomly aligned single-touch lines. Higher thresholds decrease signal frequency while increasing reliability. 2. ANGLE FILTERING Applies maximum angle constraints (0-20) to trendlines independently for resistance and support, both upward and downward slopes. This filters trendlines with extreme angles that typically lack predictive value. ═══════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════ DETECTION ALGORITHM: 1. Identifies pivot highs/lows using configurable lookback periods 2. Connects pivots within ATR-based proximity threshold 3. Validates trendlines only after minimum retest requirement is met 4. Applies angle constraints using arctangent calculations 5. Verifies no price penetration occurred between pivot points 6. Triggers breakout signals when price breaches validated lines THREE INDEPENDENT TREND LINE BANKS: The indicator operates three parallel detection systems with separate parameters: - Level Set A: Short pivot periods (default 5 bars) - Level Set B: Medium pivot periods (default 10 bars) - Level Set C: Long pivot periods (default 6 bars) Each system maintains independent arrays of resistance and support lines. ADAPTIVE COMPONENTS: - Proximity tolerance scales with ATR(40) to accommodate volatility - Angle thresholds adjust using combined absolute and percentage ATR factors - Line lifespan configurable by bar count (default 180/200/300 bars per set) ══════════════════════════════════════════ USE CASES ══════════════════════════════════════════ Appropriate for: - Filtering breakout candidates by reliability metrics - Multi-timeframe trendline analysis - Automated breakout monitoring - Reducing chart noise from weak trendlines Not appropriate for: - Range-bound or highly choppy markets - Instruments with insufficient historical data - Strategies requiring predictive (non-historical) trendlines
אינדיקטור Pine Script®
מאת ‎trend-wolf‎
SMC OB+HOBSmart Money OB/HOB Indicator — Quick Guide Use this as a field manual: what you’re seeing, how it’s decided, and which settings to use for different timeframes and trade styles. What the tool plots Bullish Order Block (OB) — teal box The last small down candle before a bullish displacement/BOS. Height = candle body (default) or wick range (if you choose “Wick”). Pin (small white dot) at the origin candle’s time to make anchoring obvious. Bearish Order Block (OB) — red box The last small up candle before a bearish displacement/BOS. Hidden Order Block (HOB) — same box but yellow-tinted fill A valid OB with one or more same-bias FVGs “ahead” (i.e., OB sits “behind” inefficiency). These tend to be stronger. Mitigation state (fill transparency) Unmitigated (least transparent): price hasn’t meaningfully traded back into the box. Highest priority. Partial (more transparent): some penetration; still valid. Full (most transparent): fully consumed; lower priority (optional to hide). Top-K border — thin white outline Only the best-scoring OBs/HOBs per direction are drawn to reduce clutter. Auto-Fibs (optional) OTE zone (0.62–0.79) — subtle purple band across the current swing leg. 0.618 / 0.705 / 0.786 — thin white horizontal lines. Confluence here adds score. Trade idea lines (per Top-K block) Entry — white line (mid/edge per your setting). Stop — red line (box edge ± your pad). TP1/TP2 — lime lines, R-based from entry→stop distance. Label shows LONG/SHORT, entry, SL, TP1, TP2, time-stop (bars). Note: Fair Value Gaps (FVGs) are tracked internally to classify HOBs and for pruning, not drawn to avoid noise. How a block is qualified (in plain English) BOS + Displacement: Close breaks the recent swing high/low by at least N ticks and the bar shows impulse (body ≥ X·ATR and ≥ Y% of its total range). (Settings: “Close beyond ≥ ticks”, “Min impulse body (x ATR)”, “Body/TR min %”) Seed candle: Look back ≤ N bars for the last opposite small-body candle (body ≤ Z% of its range). That candle’s body/wick becomes the OB height. (Settings: “Last opposite candle within N bars”, “OB body ≤ % of TR”, “OB height model”) Hidden OB: Count same-bias FVGs “ahead”. If ≥ your threshold → tag the OB as HOB. (Setting: “Require ≥ N same-bias FVGs ahead”) Mitigation tracking: As price trades into the box, we compute penetration %, updating unmitigated / partial / full state each bar. Ranking (Top-K): Every OB/HOB gets a score: near price, newer, hidden, near fib, and unmitigated boost. We draw only the Top-K per direction. Inputs you’ll actually tweak Timeframe Compute on: Current (uses your chart TF) or Specific (MTF scan). Process last N bars: reduce for speed, increase to see more history. Anchoring Extend: Right, Limited, or Origin only. Limited draws boxes to a fixed number of bars so charts stay clean. Show origin pins: Keep on so you always know the source candle. Structure / BOS (signal frequency vs. quality) Require FVG on break bar: ON = stricter, OFF = more signals. Min impulse body (x ATR): higher = stricter. Body/TR min %: higher = stricter. Close beyond ≥ ticks: 0–1 for LTF; 1–3 for HTF. Order Blocks OB height model: Body (cleaner) or Wick (wider protection). Last opposite candle within N bars: 3–8 (higher finds more). OB body ≤ % of TR: 0.35–0.70 (lower = stricter). Min OB height (ticks): 1–2 (avoid micro slivers). Expire on first touch: If ON, removes boxes after first reaction. Hidden OB Require ≥ N FVGs ahead: 0–1 for LTF (more HOBs), 1–2 for HTF. Mitigation Filter (what you show) Toggle Unmitigated / Partial / Full visibility. For precision trading, keep Unmitigated on; show others while scanning. Auto-Fibs Enable fib confluence: On adds score near 0.618/0.705/0.786. Draw lines / OTE: Visual only; confluence also boosts ranking. Tolerance (x ATR): how close price must be to count as “near fib”. Ranking & Draw Top-K per direction: how many OBs/HOBs you’ll see each side. Prefer near / newer / hidden / unmitigated: scoring toggles. Fib boost: how much fib confluence bumps a level. Trade Ideas Entry style: 50% of OB (balanced) or OB edge (faster fills). Stop pad (ticks/ATR): give a little room beyond the box edge. TP1/TP2 (R): risk-multiple targets (e.g., 1R, 2R). Time stop (minutes): exit if it doesn’t go in time. Execution / Alerts (recommended) Keep on-close workflow: do not enable calc_on_every_tick. When creating alerts, choose Once per bar close. How to use it (mechanical checklist) Scan: Focus on Top-K boxes. HOBs (yellow-tinted) and unmitigated get first look. Context (optional): If you like, also check HTF structure or obvious liquidity pools (equal highs/lows). Confluence: Prefer boxes near 0.618/0.705/0.786 or inside the OTE band. Trigger: Let the bar close. If entry line is touched next, you have a go-signal with a placed stop and R-targets. Manage: If TP1 hits, move SL to BE. For HOBs, consider a runner (trail under minor swing/FVG) — they often travel further. Time stop: If it hasn’t moved within N minutes/bars, cut it; don’t babysit. Preset recipes (copy these settings) 1) Hyper-Scalp (1–3m) — frequent, fast Structure / BOS: FVG on break = OFF | Min impulse = 0.6–0.8 | Body/TR = 0.45–0.55 | Close beyond = 0–1 Order Blocks: Opposite lookback = 5–6 | OB body ≤ 0.55–0.60 | Min height = 1 HOB: Need FVGs = 0–1 Mitigation view: Show Unmit/Partial, optionally Full while scanning Ranking: Top-K = 4–6, prefer near/new/hidden/unmit = ON, Fib boost = 0.6–1.0 Trade Ideas: Entry = OB edge, Stop pad = 1–2 ticks, Time stop = 5–8 min Execution: On bar close alerts 2) Intraday (5–15m) — balanced Structure / BOS: FVG on break = OFF | Min impulse = 0.8–1.0 | Body/TR = 0.55–0.60 | Close beyond = 1 Order Blocks: Opposite lookback = 4–5 | OB body ≤ 0.50–0.55 | Min height = 1–2 HOB: Need FVGs = 1 Ranking: Top-K = 3–4, Fib boost = 1.0–1.5 Trade Ideas: Entry = 50%, Stop pad = 2–3 ticks, Time stop = 10–20 min 3) Swing (1H–4H) — selective, higher quality Structure / BOS: FVG on break = ON | Min impulse = ≥1.0 | Body/TR = ≥0.65 | Close beyond = 1–3 Order Blocks: Opposite lookback = 3–4 | OB body ≤ 0.45–0.50 | Min height = 2–4 HOB: Need FVGs = 1–2 Ranking: Top-K = 2–3, Fib boost = 1.5–2.0 Trade Ideas: Entry = 50%, Stop pad = a few ticks + ATR pad, Time stop = few bars 4) HTF (Daily+) — very selective Keep swing settings, increase Min impulse and Close beyond a bit, reduce Top-K to 1–2. Priority rules (what to trade first) HOB over OB Unmitigated over partial/full With fib confluence over without Near price and recent over far/old Favor levels that follow a sweep (equal highs/lows taken, then return to your box) If two boxes tie, take the one with the cleaner origin candle and simpler path to TP (fewer nearby obstacles). Troubleshooting & tips “I’m not seeing many signals.” Loosen Structure/BOS (lower ATR and Body/TR), increase Opposite lookback, allow Partial/Full in view, raise Top-K. “Too many lines/boxes.” Lower Top-K, use Limited extension (Anchoring), hide Partial/Full, and keep fib lines if you rely on confluence. “Stuff looks offset.” Keep origin pins on. Use xloc.bar_time (already in code) and avoid custom time compressions that desync objects. Execution discipline: Use on-close alerts. Respect time stops. Size by fixed risk per trade, not fixed leverage.
אינדיקטור Pine Script®
מאת ‎GortSerf‎
1
Smart Breadth [smartcanvas]Overview This indicator is a market breadth analysis tool focused on the S&P 500 index. It visualizes the percentage of S&P 500 constituents trading above their 50-day and 200-day moving averages, integrates the McClellan Oscillator for advance-decline analysis, and detects various breadth-based signals such as thrusts, divergences, and trend changes. The indicator is displayed in a separate pane and provides visual cues, a summary label with tooltip, and alert conditions to highlight potential market conditions. The tool uses data symbols like S5FI (percentage above 50-day MA), S5TH (percentage above 200-day MA), ADVN/DECN (S&P advances/declines), and optionally NYSE advances/declines for certain calculations. If primary data is unavailable, it falls back to calculated breadth from advance-decline ratios. This indicator is intended for educational and analytical purposes to help users observe market internals. My intention was to pack in one indicator things you will only find in a few. It does not provide trading signals as financial advice, and users are encouraged to use it in conjunction with their own research and risk management strategies. No performance guarantees are implied, and historical patterns may not predict future market behavior. Key Components and Visuals Plotted Lines: Aqua line: Percentage of S&P 500 stocks above their 50-day MA. Purple line: Percentage of S&P 500 stocks above their 200-day MA. Optional orange line (enabled via "Show Momentum Line"): 10-day momentum of the 50-day MA breadth, shifted by +50 for scaling. Optional line plot (enabled via "Show McClellan Oscillator"): McClellan Oscillator, colored green when positive and red when negative. Can use actual scale or normalized to fit breadth percentages (0-100). Horizontal Levels: Dotted green at 70%: "Strong" level. Dashed green at user-defined green threshold (default 60%): "Buy Zone". Dashed yellow at user-defined yellow threshold (default 50%): "Neutral". Dotted red at 30%: "Oversold" level. Optional dotted lines for McClellan (when shown and not using actual scale): Overbought (red), Oversold (green), and Zero (gray), scaled to fit. Background Coloring: Green shades for bullish/strong bullish states. Yellow for neutral. Orange for caution. Red for bearish. Signal Shapes: Rocket emoji (🚀) at bottom for Zweig Breadth Thrust trigger. Green circle at bottom for recovery signal. Red triangle down at top for negative divergence warning. Green triangle up at bottom for positive divergence. Light green triangle up at bottom for McClellan oversold bounce. Green diamond at bottom for capitulation signal. Summary Label (Right Side): Displays current action (e.g., "BUY", "HOLD") with emoji, breadth percentages with colored circles, McClellan value with emoji, market state, risk/reward stars, and active signals. Hover tooltip provides detailed breakdown: action priority, breadth metrics, McClellan status, momentum/trend, market state, active signals, data quality, thresholds, recent changes, and a general recommendation category. Calculations and Logic Breadth Percentages: Derived from S5FI/S5TH or calculated from advances/(advances + declines) * 100, with fallback adjustments. McClellan Oscillator: Difference between fast (default 19) and slow (default 39) EMAs of net advances (advances - declines). Momentum: 10-day change in 50-day MA breadth percentage. Trend Analysis: Counts consecutive rising days in breadth to detect upward trends. Breadth Thrust (Zweig): 10-day EMA of advances/total issues crossing from below a bottom level (default 40) to above a top level (default 61.5). Can use S&P or NYSE data. Divergences: Compares S&P 500 price highs/lows with breadth or McClellan over a lookback period (default 20) to detect positive (bullish) or negative (bearish) divergences. Market States: Determined by breadth levels relative to thresholds, trend direction, and McClellan conditions (e.g., strong bullish if above green threshold, rising, and McClellan supportive). Actions: Prioritized logic (0-10) selects an action like "BUY" or "AVOID LONGS" based on signals, states, and conditions. Higher priority (e.g., capitulation at 10) overrides lower ones. Alerts: Triggered on new occurrences of key conditions, such as breadth thrust, divergences, state changes, etc. Input Parameters The indicator offers customization through grouped inputs, but the use of defaults is encouraged. Usage Notes Add the indicator to a chart of any symbol (though designed around S&P 500 data; works best on daily or higher timeframes). Monitor the label and tooltip for a consolidated view of conditions. Set up alerts for specific events. This script relies on external security requests, which may have data availability issues on certain exchanges or timeframes. The fallback mechanism ensures continuity but may differ slightly from primary sources. Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute investment advice, financial recommendations, or an endorsement of any trading strategy. Market conditions can change rapidly, and users should not rely solely on this tool for decision-making. Always perform your own due diligence, consult with qualified professionals if needed, and be aware of the risks involved in trading. The author and TradingView are not responsible for any losses incurred from using this script.
אינדיקטור Pine Script®
מאת ‎marsrides‎
1
Smart Fair Value Gaps (FVG) + MTF [Intelligent]This indicator elevates the standard Fair Value Gap (FVG) concept by introducing an intelligent classification system, advanced filtering, and integrated Multi-Timeframe (MTF) analysis. It is designed to move beyond simple FVG detection, providing traders with a deeper, more contextual understanding of market imbalances. By analyzing the characteristics of each FVG relative to recent historical data, the script helps to distinguish between high-momentum gaps and potential exhaustion points. What is a Fair Value Gap (FVG)? A Fair Value Gap, or price imbalance, is a three-candle pattern where the wick of the first candle does not overlap with the wick of the third candle. This creates an inefficient price delivery area that the market often seeks to revisit or "mitigate" in the future. Bullish FVG: The space between the high of the first candle and the low of the third candle in a strong upward move. Bearish FVG: The space between the low of the first candle and the high of the third candle in a strong downward move. Key Features Intelligent FVG Classification: This is the core of the indicator. Instead of treating all FVGs equally, it classifies them into four distinct types based on their size and the volume on which they formed, relative to a dynamic historical baseline. 🟡 Power FVG: High Size & High Volume Ratio. Indicates a gap formed with strong conviction and momentum, often a good continuation signal. 🟣 Exhaustion FVG: Low Size & High Volume Ratio. Suggests a high amount of effort (volume) for little price movement, which may indicate a trend is losing steam. 🟠 Absorption FVG: High Size & Low Volume Ratio. A significant price gap was created with relatively little volume, suggesting a lack of resistance and potential for price to move easily through that area. 🔵 Normal FVG: Any FVG that does not meet the criteria for the other classifications. Multi-Timeframe (MTF) Analysis: Plot FVGs from a higher timeframe directly onto your current chart. These HTF zones often act as powerful areas of support or resistance and provide crucial context for lower-timeframe price action. Advanced Filtering Suite: Gain complete control over which FVGs are displayed to reduce chart noise and focus on what matters. Minimum Size Filter: Ignores insignificant micro-gaps by setting a minimum size requirement as a percentage of price. EMA Trend Filter: Only display FVGs that align with the broader market trend (e.g., only show Bullish FVGs when price is above the 200 EMA). Volume Filter: Qualify FVGs by requiring them to form on volume that is a specified multiple of its moving average, ensuring they are backed by significant market participation. Comprehensive Customization: Tailor every aspect of the indicator to fit your personal trading style and chart aesthetic. Mitigation Rules: Define precisely when an FVG is considered "mitigated" and no longer valid. Choose from a full fill, a 50% fill (Consequent Encroachment), or a simple wick touch. Visuals & Data: Customize colors, borders, and box extensions. Toggle visuals for partial fills and the 50% CE line. Data Labels: Display key information directly on the FVG boxes, including size in percentage and ticks, the volume of the FVG candle, and the volume ratio compared to the average.
אינדיקטור Pine Script®
מאת ‎DerLucas432‎
2
Smart Price Divergence (MACD Filter) + EMA📌 Purpose This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition. It helps identify high-probability reversal zones aligned with market trend context. 🧠 How It Works 1. MACD Divergence Logic Bearish Divergence: Price makes a higher high. MACD makes a lower high. Price is above EMA (indicating possible exhaustion in bullish trend). Bullish Divergence: Price makes a lower low. MACD makes a higher low. Price is below EMA (indicating possible exhaustion in bearish trend). 2. EMA Trend Filter EMA(200) is used as a directional filter: Bearish divergences considered above EMA (extended bullish conditions). Bullish divergences considered below EMA (extended bearish conditions). 3. Visual & Alerts EMA(200) plotted on chart in orange. Red triangles for Bearish Divergence. Green triangles for Bullish Divergence. Alerts fire for both divergence types. 📈 How to Use Look for divergence signals as potential reversal alerts. Combine with support/resistance or price action for confirmation. EMA ensures signals occur in extended zones, increasing reliability. Recommended Timeframes: 1h, 4h, D. Markets: Forex, Crypto, Stocks. ⚙️ Inputs MACD Fast / Slow / Signal Length EMA Length (default 200) ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
אינדיקטור Pine Script®
מאת ‎artemka3091‎
Smart Deviation Trend Bands PRO + MTF Filter📌 Purpose This indicator combines multi-level Deviation Bands (±1, ±2, ±3 standard deviations from SMA) with a Higher Timeframe (HTF) Trend Filter. It helps traders identify potential bounce and breakout setups aligned with the dominant market trend. 🧠 How It Works 1. Deviation Bands SMA(Length) is calculated as the centerline. Standard deviations (±1, ±2, ±3) define multiple dynamic support and resistance zones. Outer bands (±3) often mark overextended zones; inner bands (±1, ±2) show active trading areas. 2. HTF Trend Filter A higher timeframe SMA (HTF SMA) acts as a trend confirmation tool. Default filter timeframe: 1 Day. Trend Up: Price > HTF SMA Trend Down: Price < HTF SMA 3. Entry Signals Long Signal: Price crosses above lower deviation band (+1) when HTF trend is UP. Short Signal: Price crosses below upper deviation band (−1) when HTF trend is DOWN. 4. Visuals & Alerts Bands plotted in red (upper) and green (lower). Centerline = SMA in blue. HTF SMA in orange. Circles on chart mark entry points; alerts trigger automatically. 📈 How to Use In trending markets: Trade with the HTF direction, using band touches for entries. In mean-reversion setups: Outer bands can be used to spot potential overbought/oversold zones. Combine with volume or price action for confirmation. Recommended Timeframes: 1h, 4h, D. Markets: Forex, Crypto, Stocks. ⚙️ Inputs SMA Length StdDev Multiplier 1 / 2 / 3 HTF Timeframe (default: D1) ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
אינדיקטור Pine Script®
מאת ‎artemka3091‎
Smart Volatility Squeeze + Trend Filter📌 Purpose This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities. It also includes an optional EMA-based trend filter to align signals with the dominant market direction. 🧠 How It Works 1. Squeeze Condition Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default) Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default) Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone). 2. Breakout Signals Long Breakout: Price crosses above BB Upper after squeeze. Short Breakout: Price crosses below BB Lower after squeeze. 3. Trend Filter (optional) EMA(50) used to confirm breakout direction: Long signals allowed only if price > EMA(50) Short signals allowed only if price < EMA(50) Toggle Use Trend Filter to enable/disable. 4. Visual & Alerts Green circle at chart bottom indicates Squeeze ON. Green/Red triangles mark breakouts. Background gradually brightens during squeeze buildup. Alerts available for long and short breakouts. 📈 How to Use Look for Squeeze ON → then wait for breakout arrows. Trade in breakout direction, preferably with trend filter ON. Works best on higher timeframes (1h, 4h, D) and trending markets. Markets: Crypto, Forex, Stocks — effective in volatile assets. ⚙️ Inputs BB Length / StdDev KC EMA Length / ATR Multiplier Use Trend Filter Trend EMA Length ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before live trading.
אינדיקטור Pine Script®
מאת ‎artemka3091‎
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator. It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring. 🧠 How It Works 1. RSI Calculation RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14). 2. Divergence Detection via Fractals Swing points on both price and RSI are detected using fractal logic (5-bar patterns). Regular Divergence: Bearish: Price forms a higher high, RSI forms a lower high. Bullish: Price forms a lower low, RSI forms a higher low. Hidden Divergence: Bearish: Price forms a lower high, RSI forms a higher high. Bullish: Price forms a higher low, RSI forms a lower low. 3. Auto Drawing Lines Lines are drawn automatically between divergence points: Red = Regular Bearish Green = Regular Bullish Orange = Hidden Bearish Blue = Hidden Bullish Line width and transparency are adjustable. 4. Labels and Alerts Labels mark divergence points with up/down arrows. Alerts trigger for each divergence type. 📈 How to Use Use Regular Divergences to anticipate trend reversals. Use Hidden Divergences to confirm trend continuation. Combine with support/resistance, trendlines, or volume for higher probability setups. Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily. Markets: Forex, Crypto, Stocks. ⚙️ Inputs Source (Close, HL2, etc.) RSI Length Toggle Regular / Hidden Divergence visibility Toggle Lines / Labels Line Width & Line Transparency ⚠️ Disclaimer This script is for educational purposes only. It does not constitute financial advice. Always test thoroughly before using in live trading.
אינדיקטור Pine Script®
מאת ‎artemka3091‎
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters. 🧠 How It Works A signal is triggered only when all core conditions are satisfied: 1. Swing High/Low Detection Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50). This ensures the move is significant relative to recent price action. 2. Impulse Confirmation Price must extend by at least 1 × ATR from the previous swing point. This filters out minor fluctuations. 3. Exhaustion Conditions (at least 2 out of 3 must be met) RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals. Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier. Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups. 4. Trend Filter ADX > ADX Threshold ensures the market is trending and filters out sideways conditions. 5. Candle Body Filter Candle body must be ≥ Body Size ATR Factor × ATR. This avoids weak signals from small candles or doji formations. 📈 How to Use Bearish Signal: Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts. Bullish Signal: Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs. Recommended Timeframes: Works best on 1h, 4h, and Daily charts. Markets: Crypto, Forex, Stocks — wherever volatility and trends are present. ⚙️ Inputs RSI Length / Overbought / Oversold Volume SMA Length & Volume Spike Multiplier Wick Threshold % Extremum Lookback (bars for highs/lows) ADX Length & Threshold Body Size ATR Factor ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test thoroughly and apply proper risk management before live trading. 💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
אינדיקטור Pine Script®
מאת ‎artemka3091‎