Inizia

Cerca negli script per "信达股份40周年"

MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators. Originality & Key Features The script's originality and utility lie in the combination of its two primary, optional filtering mechanics: Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry: Crossover (Classic): Immediate entry when the price crosses the main MA. Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets. Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction. How to Use the Strategy The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA. Core Logic: Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode). Directional Filter: The Trend Filter must confirm the direction (if enabled). Exit: Trades are exited on the opposite price crossover of the Main MA. Customizable Settings Include: Main MA Type & Length (Default: 40 EMA): The primary signal generator. Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias. Entry Mode: Switch between Crossover or Full Candle Confirmation. Strategy Results and High-Risk Disclaimer The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart. This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.
Strategia Pine Script®
di ravi_matrix
ICT Fair Value Gap Detector [Eˣ]⚡ Fair Value Gap Detector Overview The Fair Value Gap Detector automatically identifies price imbalances on your charts - the inefficiencies left behind when price moves too quickly. This indicator reveals where price is likely to return for "rebalancing", based on ICT (Inner Circle Trader) concepts of market efficiency. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 What This Indicator Does Detects Fair Value Gaps: • 🟢 Bullish FVG - Gap left below during aggressive upward move • 🔴 Bearish FVG - Gap left above during aggressive downward move • Automatically identifies 3-candle price inefficiencies • Works on all timeframes and instruments Smart Fill Tracking: • Full Fill - Price completely fills the gap • 50% Fill - Price fills half the gap (critical level) • Partial Fill - Price touches gap edge • Real-time fill percentage tracking • Auto-removes filled gaps (optional) Professional Features: • Active Gap Highlighting - Shows nearest unfilled gap • Distance Calculator - Displays how far price is from gaps • Market Bias - Analysis based on gap balance • Size Filtering - Minimum gap size to avoid noise • Visual Clarity - Clean boxes with color-coding ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 Understanding Fair Value Gaps What Are Fair Value Gaps? Fair Value Gaps (FVGs), also known as imbalances or inefficiencies, are zones where price moved so quickly that normal trading didn't occur. They represent: • Price Imbalance - One-sided aggressive buying or selling • Unfair Pricing - Some participants didn't get to trade at these levels • Market Inefficiency - Supply/demand equilibrium was disrupted • Rebalancing Zones - Price often returns to "fill" these gaps The ICT Concept: Markets constantly seek equilibrium (fair value). When price moves too fast: 1. It leaves gaps where normal trading didn't happen 2. These gaps represent unfair/inefficient pricing 3. Market has a tendency to return and "rebalance" 4. Smart money knows this and trades the fills Why FVGs Work: • Unfilled Orders - Traders who missed the move have pending orders in the gap • Algorithmic Trading - Algos programmed to exploit inefficiencies • Market Psychology - Traders notice gaps and place orders there • Institutional Behavior - Smart money uses gaps for entries/exits FVG vs Regular Gaps: • Regular Gaps - Occur at market open, between daily closes • Fair Value Gaps - Occur intraday, between 3 consecutive candles • FVGs happen more frequently and on all timeframes • FVGs are more tradeable for intraday/swing traders ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🟢 Bullish Fair Value Gaps Explained How They Form: Bullish FVG requires 3 candles: 1. Candle 1 - Any candle (sets the high reference) 2. Candle 2 - Strong bullish candle (aggressive buying) 3. Candle 3 - Continuation candle The Gap: Candle 3's LOW is above Candle 1's HIGH = Gap left unfilled Visual Example: ``` Candle 3: Low at $105 ──────────┐ │ ← GAP (Bullish FVG) Candle 2: Strong bullish │ │ Candle 1: High at $100 ──────────┘ ``` What It Means: • Price jumped from $100 to $105+ so fast, no trading occurred in between • This $100-$105 zone is "unfair" - buyers/sellers didn't get to trade there • Market may return to this zone to "rebalance" • When price returns, it often acts as support Trading Bullish FVGs: Strategy: • Wait for price to retrace down into the bullish FVG (green box) • Look for rejection/bounce from the gap zone • Enter long when price respects the FVG as support • Stop loss: Below the FVG • Target: Previous high or opposite FVG Best Entry Points: • 50% Fill: Price enters middle of gap (highest probability) • Full Fill: Price touches bottom of gap (aggressive entry) • Tap & Reject: Price quickly enters and exits gap (strong signal) Example Trade: • Bullish FVG forms: $50,000 - $50,500 (500 point gap) • Price rallies to $52,000 then retraces • Price drops to $50,250 (50% of gap filled) • Bullish reversal candle appears • Enter long at $50,500, stop at $49,800 • Target: $52,000+ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔴 Bearish Fair Value Gaps Explained How They Form: Bearish FVG requires 3 candles: 1. Candle 1 - Any candle (sets the low reference) 2. Candle 2 - Strong bearish candle (aggressive selling) 3. Candle 3 - Continuation candle The Gap: Candle 3's HIGH is below Candle 1's LOW = Gap left unfilled Visual Example: ``` Candle 1: Low at $100 ───────────┐ │ ← GAP (Bearish FVG) Candle 2: Strong bearish │ │ Candle 3: High at $95 ───────────┘ ``` What It Means: • Price dropped from $100 to $95 so fast, no trading occurred in between • This $95-$100 zone is "unfair" - buyers/sellers didn't get to trade there • Market may return to this zone to "rebalance" • When price returns, it often acts as resistance Trading Bearish FVGs: Strategy: • Wait for price to retrace up into the bearish FVG (red box) • Look for rejection/reversal from the gap zone • Enter short when price respects the FVG as resistance • Stop loss: Above the FVG • Target: Previous low or opposite FVG Best Entry Points: • 50% Fill: Price enters middle of gap (highest probability) • Full Fill: Price touches top of gap (aggressive entry) • Tap & Reject: Price quickly enters and exits gap (strong signal) Example Trade: • Bearish FVG forms: $48,000 - $48,500 (500 point gap) • Price drops to $46,000 then retraces • Price rallies to $48,250 (50% of gap filled) • Bearish reversal candle appears • Enter short at $48,000, stop at $48,700 • Target: $46,000- ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 How To Use This Indicator Strategy 1: FVG Rebalancing (Classic) Best For: Swing trading, reversal trading Timeframes: 15min, 1H, 4H Win Rate: 65-75% Entry Rules: 1. Identify unfilled FVG (bright color, not gray) 2. Wait for price to return to the gap 3. Best entry: 50% fill of the gap 4. Look for reversal confirmation: • Bullish FVG: Pin bar, engulfing, hammer • Bearish FVG: Shooting star, bearish engulfing 5. Enter when price bounces/rejects from FVG 6. Stop: Beyond opposite side of FVG 7. Target: 2-3R or previous high/low Why It Works: 70%+ of FVGs get filled, and 60%+ show reaction Strategy 2: FVG + Order Block Confluence Best For: High-probability setups Timeframes: 1H, 4H Win Rate: 75-85% Entry Rules: 1. Find FVG that overlaps with Order Block 2. This creates a "super zone" of confluence 3. Wait for price to return to this zone 4. Enter on first touch of confluence zone 5. Stop: Beyond the confluence zone 6. Target: 3-4R Why It Works: Double institutional concepts = highest probability Strategy 3: Multi-Timeframe FVG Best For: Position trading, major moves Timeframes: Combine Daily + 4H or 4H + 1H Win Rate: 70-80% Entry Rules: 1. Identify large FVG on higher timeframe (Daily/4H) 2. Wait for price to enter this HTF FVG 3. Switch to lower timeframe (4H/1H) 4. Look for LTF FVG within HTF FVG in same direction 5. Trade the LTF FVG fill 6. Stop: Below LTF FVG 7. Target: Exit HTF FVG or beyond Why It Works: Timeframe alignment = institutional consensus Strategy 4: FVG Rejection Trade Best For: Quick scalps, day trading Timeframes: 5min, 15min Win Rate: 60-70% Entry Rules: 1. Price enters FVG zone 2. Immediate rejection (strong reversal candle) 3. Enter on close of rejection candle 4. Tight stop beyond FVG 5. Quick target: 1-2R Why It Works: Strong rejection = institutional defense of level Strategy 5: FVG-to-FVG Trading Best For: Momentum trading Timeframes: 15min, 1H Win Rate: 55-65% Entry Rules: 1. Identify bullish FVG below and bearish FVG above 2. Enter long at bullish FVG, target bearish FVG 3. Or enter short at bearish FVG, target bullish FVG 4. Price often moves from one imbalance to another 5. Stop: Beyond trading FVG 6. Target: Opposite FVG Why It Works: Price rebalances from one inefficiency to another ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Settings Explained Display Settings Show Bullish/Bearish FVG • Toggle each type on/off independently • Customize colors for each FVG type • Default: Green (bullish), Red (bearish) • Tip: Use colors that contrast with your chart Max FVG to Display (Default: 20) • Limits how many gaps are shown at once • Lower (10-15): Cleaner chart, recent gaps only • Higher (30-50): More historical context • Recommended: 15-25 for most trading Show FVG Labels (Default: ON) • Displays "FVG+" and "FVG-" text on gaps • Shows 🎯 on active (nearest) gap • Shows fill percentage (e.g., "FVG+ 35%") • Turn OFF for minimal appearance • Recommended: Keep ON for clarity Extend Gaps (bars) (Default: 50) • How far to extend gap boxes to the right • Lower (20-30): Shorter boxes • Higher (100+): Longer boxes, easier to see • Gaps auto-extend until filled or limit reached • Recommended: 40-60 bars Filters Min Gap Size % (Default: 0.05) • Minimum gap size as percentage of price • Filters out tiny, insignificant gaps • Crypto: 0.05-0.15% (high volatility) • Forex: 0.03-0.10% (moderate volatility) • Stocks: 0.05-0.20% (varies by stock) • Indices: 0.05-0.15% • Adjust based on instrument's average move Show Filled Gaps (Default: OFF) • When ON: Shows gray boxes for filled gaps • When OFF: Gaps disappear after mitigation • Use ON: For learning and backtesting • Use OFF: For clean, active trading view Advanced Settings Auto-Detect Mitigation (Default: ON) • Automatically tracks when gaps are filled • Updates fill percentage in real-time • Marks gaps as "mitigated" when filled • Recommended: Keep ON Mitigation Type (Default: Full) • Full: Gap considered filled when price closes through entire gap • 50%: Gap considered filled at 50% (critical level) • Partial: Gap considered filled on first touch • For learning: Use "Full" • For aggressive trading: Use "50%" • For conservative trading: Use "Partial" Highlight Nearest Gap (Default: ON) • Highlights the closest unfilled gap to current price • Active gap shown with 🎯 emoji and brighter color • Helps focus on most relevant opportunity • Recommended: Keep ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Info Panel Guide Bullish FVG Count • Number of active (unfilled) bullish fair value gaps • Higher number = More potential support zones below • Multiple bullish FVGs = Strong rebalancing demand Bearish FVG Count • Number of active (unfilled) bearish fair value gaps • Higher number = More potential resistance zones above • Multiple bearish FVGs = Strong rebalancing supply Bias Indicator • ⬆ Bullish: More bullish FVGs than bearish • ⬇ Bearish: More bearish FVGs than bullish • ↔ Neutral: Equal FVGs on both sides • Market tends to fill nearby gaps first Target Indicator • Shows nearest unfilled gap and distance • Example: "Bull FVG -1.25%" = Bullish gap is 1.25% below price • Example: "Bear FVG +0.85%" = Bearish gap is 0.85% above price • Watch for price to reach these targets ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Alert Setup This indicator includes 4 alert types: 1. Price Entering Bullish FVG • Fires when price drops into a bullish gap • Action: Watch for bounce/reversal • High-probability long setup developing 2. Price Entering Bearish FVG • Fires when price rallies into a bearish gap • Action: Watch for rejection/reversal • High-probability short setup developing 3. New Bullish FVG Detected • Fires when a new bullish gap forms • Action: Mark zone for future fill • New rebalancing target below identified 4. New Bearish FVG Detected • Fires when a new bearish gap forms • Action: Mark zone for future fill • New rebalancing target above identified To Set Up Alerts: 1. Click "Alert" button (clock icon) 2. Select "Fair Value Gap Detector" 3. Choose your alert condition 4. Configure notification method 5. Click "Create" Pro Tip: Set "Price Entering" alerts to catch fills in real-time ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 Pro Tips & Best Practices ✅ DO: • Wait for 50% fill - Middle of gap has highest win rate (65-70%) • Use confirmation - Don't trade just because price touched gap • Combine with structure - FVG + support/resistance = high probability • Trade first fill - Unfilled gaps have better success rate than refilled • Respect full fills - Once fully filled, gap is less reliable • Use multiple timeframes - HTF FVGs are stronger than LTF • Check session timing - FVGs work best during London/NY sessions • Follow the bias - More bullish FVGs = favor longs ⚠️ DON'T: • Don't blindly fade gaps - Wait for price action confirmation • Don't ignore momentum - Strong trends can blow through FVGs • Don't trade every gap - Quality over quantity • Don't assume all gaps fill - About 70-80% fill, 20-30% don't • Don't use tight stops - Allow room for wick into gap • Don't overtrade - Wait for confluence and confirmation • Don't fight trends - Best FVG trades are with higher TF trend • Don't ignore fill percentage - 50% is often the sweet spot 🎯 Best Timeframes: • Scalpers: 1min, 5min (many gaps, quick fills) • Day Traders: 5min, 15min, 1H (balanced) • Swing Traders: 1H, 4H, Daily (larger, more reliable gaps) • Position Traders: 4H, Daily, Weekly (major imbalances) 🔥 Best Instruments: • Excellent: BTC, ETH, ES, NQ, Forex majors (clean price action) • Good: Gold, Oil, Major indices, Large-cap stocks • Moderate: Altcoins, small-cap stocks (more noise) • Best Markets: Trending markets with clear swings ⏰ Best Times for FVG Trading: • London Session: High volume = reliable gap fills • NY Session: Strong moves create quality gaps • London-NY Overlap: Best time for gap creation and fills • Asian Session: Lower probability, wait for London ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 Advanced FVG Concepts FVG Mitigation Levels Understanding fill percentages: • 0-25% Fill: Gap barely touched, often continues without fill • 25-50% Fill: Partial rebalancing, may reverse here • 50% Fill: CRITICAL LEVEL - Highest probability reversal zone • 50-75% Fill: Deep rebalancing, strong reversal likely • 75-100% Fill: Full rebalancing, gap's purpose fulfilled Why 50% Matters: Market seeks equilibrium, and 50% represents perfect balance FVG Inversions When price breaks through a gap completely: • Bullish FVG that's broken becomes bearish (support → resistance) • Bearish FVG that's broken becomes bullish (resistance → support) • Inverted gaps are weaker than fresh gaps • Trading: Can fade the inverted gap but with caution FVG Confluence Zones Multiple FVGs at similar level: • Creates "super gap" or confluence zone • Much higher probability of reaction • Wider zone for entries (more room for stops) • Often aligns with other institutional concepts FVG + Order Block Combo When FVG overlaps with Order Block: • Double institutional concept • Extremely high probability setup (75-85% win rate) • Price drawn to fill gap AND test order block • Use tight stops, generous targets (3-5R possible) Nested FVGs (Multi-Timeframe) Small FVG inside larger FVG: • Daily FVG contains 4H FVG contains 1H FVG • Trade the smallest FVG in direction of larger ones • Highest probability when all aligned • Progressive targets: Fill small → medium → large gaps FVG Exhaustion When price creates multiple FVGs in same direction: • Indicates strong momentum/impulsive move • Each gap represents acceleration • Last gap often signals exhaustion • Watch for reversal after filling final gap ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Common FVG Patterns Pattern 1: The Perfect Rebalance • FVG forms during strong move • Price continues 100+ pips • Clean return to 50% of gap • Immediate reversal • Textbook setup, 70%+ win rate Pattern 2: The Double Fill • Price partially fills gap (25%) • Weak reaction, continues • Returns again for deeper fill (75%) • Strong reversal on second fill • Second fill often better entry Pattern 3: The Blow-Through • Price approaches gap • Completely ignores it, no reaction • Keeps going in same direction • Sign of very strong momentum Pattern 4: The Magnet Effect • Price slowly grinds toward gap • Accelerates as it gets close • Quickly fills and reverses • Common in ranging markets Pattern 5: The False Fill • Price wicks into gap briefly • Immediately reverses without filling • "Stop hunt" or liquidity grab • Gap remains unfilled • Often precedes strong move ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 What Makes This Different? Unlike basic gap indicators, Fair Value Gap Detector: • ICT Methodology - Based on proven institutional concepts • Real-Time Fill Tracking - Shows percentage filled as it happens • 3 Mitigation Types - Full, 50%, Partial for different strategies • Active Gap Highlighting - Shows most relevant opportunity • Smart Filtering - Minimum size to avoid noise • Visual Clarity - Clean, professional appearance • Auto-Management - Removes filled gaps automatically • Distance Tracking - Know exactly where price needs to go Based On Professional Concepts: • ICT Fair Value Gap theory • Market efficiency principles • Price rebalancing dynamics • Institutional order flow analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 FVG Statistics & Probabilities Based on ICT concepts and trader observations: Gap Fill Rates: • 70-80% of FVGs get filled eventually • 60-70% show some reaction when filled • 50% fill level has ~65% reversal rate • Full fills have ~55% reversal rate Timeframe Reliability: • Daily FVGs: ~75-85% fill rate, strongest reactions • 4H FVGs: ~70-80% fill rate, strong reactions • 1H FVGs: ~65-75% fill rate, good reactions • 15min FVGs: ~60-70% fill rate, moderate reactions • 5min FVGs: ~55-65% fill rate, weaker reactions Best Practices: • First touch of gap = 65-70% win rate • 50% fill = 65% win rate • FVG + Order Block = 75-85% win rate • Multi-timeframe aligned FVG = 70-80% win rate • FVG in trending market = 60-70% win rate Common Failures: • Strong momentum blows through gaps (20-30% of time) • Gaps in low-volume periods less reliable • Very small gaps (<0.05%) often ignored • Counter-trend gaps have lower success rate ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🙏 If You Find This Helpful • ⭐ Leave your feedback • 💬 Share your experience in the comments • 🔔 Follow for updates and new tools Questions about Fair Value Gaps? Feel free to ask in the comments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Version History • v1.0 - Initial release with 3-candle FVG detection and real-time fill tracking
Indicatore Pine Script®
di Exponential-X
Absorption RatioThe Hidden Connections Between Markets Financial markets are not isolated islands. When panic spreads, seemingly unrelated assets suddenly begin moving in lockstep. Stocks, bonds, commodities, and currencies that normally provide diversification benefits start falling together. This phenomenon, where correlations spike during crises, has devastated portfolios throughout history. The Absorption Ratio provides a quantitative measure of this hidden fragility. The concept emerged from research at State Street Associates, where Mark Kritzman, Yuanzhen Li, Sebastien Page, and Roberto Rigobon developed a novel application of principal component analysis to measure systemic risk. Their 2011 paper in the Journal of Portfolio Management demonstrated that when markets become tightly coupled, the variance explained by the first few principal components increases dramatically. This concentration of variance signals elevated systemic risk. What the Absorption Ratio Measures Principal component analysis, or PCA, is a statistical technique that identifies the underlying factors driving a set of variables. When applied to asset returns, the first principal component typically captures broad market movements. The second might capture sector rotations or risk-on/risk-off dynamics. Additional components capture increasingly idiosyncratic patterns. The Absorption Ratio measures the fraction of total variance absorbed or explained by a fixed number of principal components. In the original research, Kritzman and colleagues used the first fifth of the eigenvectors. When this fraction is high, it means a small number of factors are driving most of the market movements. Assets are moving together, and diversification provides less protection than usual. Consider an analogy: imagine a room full of people having independent conversations. Each person speaks at different times about different topics. The total "variance" of sound in the room comes from many independent sources. Now imagine a fire alarm goes off. Suddenly everyone is talking about the same thing, moving in the same direction. The variance is now dominated by a single factor. The Absorption Ratio captures this transition from diverse, independent behavior to unified, correlated movement. The Implementation Approach TradingView does not support matrix algebra required for true principal component analysis. This implementation uses a closely related proxy: the average absolute correlation across a universe of major asset classes. This approach captures the same underlying phenomenon because when assets are highly correlated, the first principal component explains more variance by mathematical necessity. The asset universe includes eight ETFs representing major investable categories: SPY and QQQ for large cap US equities, IWM for small caps, EFA for developed international markets, EEM for emerging markets, TLT for long-term treasuries, GLD for gold, and USO for oil. This selection provides exposure to equities across geographies and market caps, plus traditional diversifying assets. From eight assets, there are twenty-eight unique pairwise correlations. The indicator calculates each using a rolling window, takes the absolute value to measure coupling strength regardless of direction, and averages across all pairs. This average correlation is then transformed to match the typical range of published Absorption Ratio values. The transformation maps zero average correlation to an AR of 0.50 and perfect correlation to an AR of 1.00. This scaling aligns with empirical observations that the AR typically fluctuates between 0.60 and 0.95 in practice. Interpreting the Regimes The indicator classifies systemic risk into four regimes based on AR levels. The Extreme regime occurs when the AR exceeds 0.90. At this level, nearly all asset classes are moving together. Diversification has largely failed. Historically, this regime has coincided with major market dislocations: the 2008 financial crisis, the 2020 COVID crash, and significant correction periods. Portfolios constructed under normal correlation assumptions will experience larger drawdowns than expected. The High regime, between 0.80 and 0.90, indicates elevated systemic risk. Correlations across asset classes are above normal. This often occurs during the build-up to stress events or during volatile periods where fear is spreading but has not reached panic levels. Risk management should be more conservative. The Normal regime covers AR values between 0.60 and 0.80. This represents typical market conditions where some correlation exists between assets but diversification still provides meaningful benefits. Standard portfolio construction assumptions are reasonable. The Low regime, below 0.60, indicates that assets are behaving relatively independently. Diversification is working well. Idiosyncratic factors dominate returns rather than systematic risk. This environment is favorable for active management and security selection strategies. The Relationship to Portfolio Construction The implications for portfolio management are significant. Modern portfolio theory assumes correlations are stable and uses historical estimates to construct efficient portfolios. The Absorption Ratio reveals that this assumption is violated precisely when it matters most. When AR is elevated, the effective number of independent bets in a diversified portfolio shrinks. A portfolio holding stocks, bonds, commodities, and real estate might behave as if it holds only one or two positions during high AR periods. Position sizing based on normal correlation estimates will underestimate portfolio risk. Conversely, when AR is low, true diversification opportunities expand. The same nominal portfolio provides more independent return streams. Risk can be deployed more aggressively while maintaining the same effective exposure. Component Analysis The indicator separately tracks equity correlations and cross-asset correlations. These components tell different stories about market structure. Equity correlations measure coupling within the stock market. High equity correlation indicates broad risk-on or risk-off behavior where all stocks move together. This is common during both rallies and selloffs driven by macroeconomic factors. Stock pickers face headwinds when equity correlations are elevated because individual company fundamentals matter less than market beta. Cross-asset correlations measure coupling between different asset classes. When stocks, bonds, and commodities start moving together, traditional hedges fail. The classic 60/40 stock/bond portfolio, for example, assumes negative or low correlation between equities and treasuries. When cross-asset correlation spikes, this assumption breaks down. During the 2022 market environment, for instance, both stocks and bonds fell significantly as inflation and rate hikes affected all assets simultaneously. High cross-asset correlation warned that the usual defensive allocations would not provide their expected protection. Mean Reversion Characteristics Like most risk metrics, the Absorption Ratio tends to mean-revert over time. Extremely high AR readings eventually normalize as panic subsides and assets return to more independent behavior. Extremely low readings tend to rise as some level of systematic risk always reasserts itself. The indicator tracks AR in statistical terms by calculating its Z-score relative to the trailing distribution. When AR reaches extreme Z-scores, the probability of normalization increases. This creates potential opportunities for strategies that bet on mean reversion in systemic risk. A buy signal triggers when AR recovers from extremely elevated levels, suggesting the worst of the correlation spike may be over. A sell signal triggers when AR rises from unusually low levels, warning that complacency about diversification benefits may be excessive. Momentum and Trend The rate of change in AR carries information beyond the absolute level. Rapidly rising AR suggests correlations are increasing and systemic risk is building. Even if AR has not yet reached the high regime, acceleration in coupling should prompt increased vigilance. Falling AR momentum indicates normalizing conditions. Correlations are decreasing and assets are returning to more independent behavior. This often occurs in the recovery phase following stress events. Practical Application For asset allocators, the AR provides guidance on how much diversification benefit to expect from a given allocation. During high AR periods, reducing overall portfolio risk makes sense because the usual diversifiers provide less protection. During low AR periods, standard or even aggressive allocations are more appropriate. For risk managers, the AR serves as an early warning indicator. Rising AR often precedes large market moves and volatility spikes. Tightening risk limits before correlations reach extreme levels can protect capital. For systematic traders, the AR provides a regime filter. Mean reversion strategies may work better during high AR periods when panics create overshooting. Momentum strategies may work better during low AR periods when trends can develop independently across assets. Limitations and Considerations The proxy methodology introduces some approximation error relative to true PCA-based AR calculations. The asset universe, while representative, does not include all possible diversifiers. Correlation estimates are inherently backward-looking and can change rapidly. The transformation from average correlation to AR scale is calibrated to match typical published ranges but is not mathematically equivalent to the eigenvalue ratio. Users should interpret levels directionally rather than as precise measurements. Correlation regimes can persist longer than expected. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. High AR can remain elevated throughout extended crisis periods. References Kritzman, M., Li, Y., Page, S., and Rigobon, R. (2011). Principal Components as a Measure of Systemic Risk. Journal of Portfolio Management, 37(4), 112-126. Kritzman, M., and Li, Y. (2010). Skulls, Financial Turbulence, and Risk Management. Financial Analysts Journal, 66(5), 30-41. Billio, M., Getmansky, M., Lo, A., and Pelizzon, L. (2012). Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors. Journal of Financial Economics, 104(3), 535-559.
Indicatore Pine Script®
di EdgeTools
MTF OB & FVG detector w/ Alerts v2# MTF Order Blocks & Fair Value Gaps Detector with Alerts v2 ## Overview This indicator combines **Multi-Timeframe Order Blocks (OB)** and **Fair Value Gaps (FVG)** detection with integrated bounce alerts. It displays Order Blocks and Fair Value Gaps across multiple timeframes simultaneously and generates real-time alerts when price bounces from these critical zones. ## Key Features ### 🎯 Multi-Timeframe Order Blocks Detection - **Volumetric Analysis**: Each Order Block displays total volume and dominant side percentage - **Multiple Timeframes**: Supports 1min, 3min, 5min, 15min, and 60min timeframes - **Smart Combining**: Automatically merges overlapping Order Blocks from different timeframes into powerful confluence zones - **Dynamic Extension**: Order Blocks extend until broken, providing clear visual guidance - **Volume Distribution**: Shows bullish vs bearish volume breakdown with percentage ### 📊 Fair Value Gaps (FVG) Detection - **Lightweight Processing**: Works on current chart timeframe only for optimal performance - **Volume Metrics**: Displays FVG volume and dominant side percentage - **Mitigation Tracking**: Automatically tracks when FVGs are filled or broken - **Customizable Mitigation Source**: Choose between close price or high/low wicks ### 🔔 Comprehensive Alert System - **Bounce Alerts**: Get notified when price bounces from OB or FVG zones - **New Formation Alerts**: Alerts when new Order Blocks or Fair Value Gaps form - **Combined Zone Alerts**: Special alerts when multiple Order Blocks merge into strong confluence zones - **Customizable Thresholds**: Set minimum number of combined OBs required for strong zone alerts ### 🎨 Visual Customization - **Inverted Color Schemes**: Optional inverted colors for both OB and FVG - OB: Choose between traditional (Bullish=Blue, Bearish=Red) or inverted (Bullish=Red, Bearish=Blue) - FVG: Choose between Bullish=Orange/Bearish=Aqua or inverted - **Clean Labels**: Shows timeframe, zone type, volume, and dominant percentage - **Combined Tags**: Optional labels for merged zones - **Adjustable Extension**: Control how far zones extend into the future ## How It Works ### Order Blocks Order Blocks identify institutional trading zones where large players have placed significant orders. The indicator: 1. Detects swing highs/lows using configurable swing length 2. Identifies the last opposing candle before a strong move 3. Analyzes volume distribution (bullish vs bearish) 4. Tracks zone validity until price breaks through 5. Combines overlapping zones from multiple timeframes ### Fair Value Gaps Fair Value Gaps represent price imbalances that often get filled. The indicator: 1. Identifies 3-candle patterns with gaps between candles 2. Filters gaps by size percentile to show only significant ones 3. Calculates volume distribution within the gap 4. Tracks mitigation when price returns to fill the gap 5. Extends gaps dynamically until filled ### Bounce Detection The indicator detects bounces using a two-step process: 1. **Touch Phase**: Tracks when price enters a zone (touchedInside flag) 2. **Bounce Phase**: Confirms bounce when price exits the zone in the expected direction - Bullish zones: Price closes above top after touching inside - Bearish zones: Price closes below bottom after touching inside ## Settings Guide ### General Configuration - **Show Historic Zones**: Display invalidated/broken zones - **Zone Invalidation**: Choose between wick or close for break detection - **Combine Overlapping Order Blocks**: Merge OBs from different timeframes - **Swing Length**: Controls sensitivity (smaller = more OBs, larger = fewer OBs) - **Zone Count**: Choose from High/Medium/Low/One per timeframe - **Invert Colors OB**: Swap bullish/bearish color scheme ### Alert Settings - **Enable Alerts**: Master switch for all alerts - **Alert on Bullish/Bearish Bounce**: Choose which bounce directions to monitor - **Alert on New OB Formation**: Get notified when new Order Blocks form - **Alert on Combined OBs**: Alerts for strong confluence zones - **Min OBs for Strong Zone Alert**: Threshold for combined zone alerts (default: 2) ### Fair Value Gaps - **Show Fair Value Gaps**: Toggle FVG display - **FVG Mitigation Source**: Choose close or high/low for mitigation detection - **Bullish/Bearish FVG**: Enable/disable each type - **Invert FVG Colors**: Swap FVG color scheme ### Multi-Timeframe - **Show Lower Timeframes**: Display OBs from timeframes lower than chart - **Individual Timeframe Toggles**: Enable/disable 1min, 3min, 5min, 15min, 60min ### Style - **Text Color**: Customize label text color - **Extend Zones**: Set extension length in bars (default: 40) - **Show Tag**: Display combined indicator in merged zone labels ## Usage Tips ### For Day Trading - Enable 1min, 3min, and 5min timeframes - Use "High" zone count for more trading opportunities - Watch for bounces from combined zones (highest probability) ### For Swing Trading - Enable 15min, 60min, and higher timeframes - Use "Medium" or "Low" zone count for major zones only - Focus on combined zones with 3+ timeframes ### For Scalping - Use current timeframe only (disable MTF) - Enable both OB and FVG - Set up alerts for quick bounce notifications ### Alert Setup 1. Click "Create Alert" in TradingView 2. Choose from available alert conditions: - **Bullish Bounce (OB/FVG)**: Long entry opportunities - **Bearish Bounce (OB/FVG)**: Short entry opportunities - **New OB Formation**: Early zone identification - **Strong Combined Zone**: High-probability confluence areas 3. Set alert frequency to "Once Per Bar Close" to avoid false signals ## Technical Details ### Performance Optimizations - Maximum 100 boxes/labels for efficient rendering - Lightweight FVG processing on current timeframe only - Dynamic memory management with array size limits - Selective rendering of active zones only ### Calculations - **ATR Multiplier**: Zones exceeding 3.5x ATR are filtered out - **Volume Percentage**: `max(bullVol, bearVol) / totalVolume × 100` - **FVG Size Filter**: Uses 100th percentile of last 1000 gaps - **Overlap Detection**: Uses intersection/union ratio for combining zones ## Credits & License This indicator combines and enhances concepts from: - "Volumized Order Blocks" methodology - "Volumatic Fair Value Gaps" approach **License**: Mozilla Public License 2.0 (MPL-2.0) ## Disclaimer This indicator is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions. ## Version History **v2 (Current)** - Combined OB and FVG into single indicator - Added comprehensive alert system - Improved performance with lightweight FVG processing - Enhanced bounce detection with touch-inside logic - Added volume metrics to zone labels - Implemented dynamic zone extension until broken - Added combined zone detection with configurable thresholds --- ### Chart Examples The indicator displays: - **Red Zones** (Inverted): Bullish Order Blocks / Bearish FVGs - **Blue Zones** (Inverted): Bearish Order Blocks / Bullish FVGs - **Orange Zones** (Inverted): Bullish Fair Value Gaps - **Aqua Zones** (Inverted): Bearish Fair Value Gaps Each zone shows: - Timeframe label (e.g., "5m", "15m", "1H") - Zone type (OB or FVG) - Total volume in millions (e.g., "12.5M") - Dominant side percentage (e.g., "85%") **Example Label**: ` 5m & 15m OB 45.2M (78%)` - Combined zone from 5min and 15min timeframes - Order Block type - 45.2 million total volume - 78% volume on dominant side --- ## Support & Updates For issues, suggestions, or questions, please leave a comment on the indicator page. **Author**: © rasukaru666 **Compatible with**: TradingView Pine Script v6
Indicatore Pine Script®
di rasukaru666
Multi-Timeframe Fair Value Gap by Vigna📊 Multi-Timeframe Fair Value Gap (FVG) Indicator This indicator displays Fair Value Gaps (FVGs) from multiple timeframes simultaneously on your chart. FVGs are price gaps that occur when the market moves quickly and skips certain price levels. These gaps tend to be "filled" later and often serve as important support and resistance zones. 🎯 What are Fair Value Gaps? A Fair Value Gap occurs when: Bullish FVG: The current low is higher than the high from 2 candles ago (gap upward) Bearish FVG: The current high is lower than the low from 2 candles ago (gap downward) ⏱️ Supported Timeframes: 1 Hour (1H) 2 Hours (2H) 3 Hours (3H) 4 Hours (4H) 1 Day (1D) 1 Week (1W) 🎨 Features: ✅ All timeframes visible simultaneously ✅ Each timeframe has its own color (bullish & bearish) ✅ Labels show the timeframe of each gap ✅ Automatic deletion when gap is filled ✅ Optional: MidPoint Fill (gap marked as filled at 50%) ✅ Extend right: Gaps extend to the right until filled ✅ All colors fully customizable ⚙️ Settings: Timeframes: Enable/disable individual timeframes as needed MidPoint Fill: Mark gap as filled when 50% is reached Delete On Fill: Automatically remove filled gaps from chart Label Timeframes: Show labels with timeframe names Colors: Customize all colors to your preferences 💡 Application: FVGs often serve as magnetic attraction points for price Higher timeframe FVGs (4H, 1D, 1W) are typically more significant Use FVGs as potential entry/exit zones Combine with other indicators for better confirmation 📈 Recommended Use: Works best on timeframes from 15min to 1H Ideal for Forex, Crypto, and Stocks Especially useful for Swing Trading and Day Trading 🔧 Technical Details: Uses optimized request.security() calls (12 total, under the 40 limit) Employs tuple syntax for efficient data fetching Real-time gap detection and filling mechanism Memory-efficient array management with var keyword
Indicatore Pine Script®
di vigna204
Trend Gazer: Unified ICT Trading System with Signals# Trend Gazer User Guide (English) ## 📖 Table of Contents 1. (#about-this-indicator) 2. (#quick-start-guide-3-steps) 3. (#detailed-usage) 4. (#settings-customization) 5. (#why-combine-multiple-features) 6. (#faq) --- ## About This Indicator **Trend Gazer** is an integrated trading system designed to read institutional order flow like professional traders. ### 🎯 3 Problems This Indicator Solves #### ❌ Problem 1: Too Many Indicators = Information Overload ``` Normal: RSI + MACD + Moving Average + Bollinger Bands... → Cluttered chart Solution: All integrated into ONE indicator → Clean & Clear ``` #### ❌ Problem 2: Single Indicators Give False Signals ``` Normal: Enter based on RSI alone → Frequent stop-outs Solution: Structure × Zone × Momentum multi-angle confirmation → Higher win rate ``` #### ❌ Problem 3: Unclear Entry Timing ``` Normal: Know the trend but don't know WHERE to enter Solution: LS Bounce Signal shows EXACT entry points ``` --- ## Quick Start Guide (3 Steps) ### 🚀 STEP 1: Confirm Trend Direction **Look for CHoCH (Change of Character)** ``` 📍 (1.CHoCH) label = Uptrend starting 📍 (a.CHoCH) label = Downtrend starting ``` **Important**: Wait for CHoCH! No direction without it. --- ### 🎯 STEP 2: Find Entry Points **Wait for LS Bounce Signal (green/red labels)** ``` 🟢 "Long@ HL only" label → LONG (buy) candidate 🔴 "Short@ LH only" label → SHORT (sell) candidate ``` **Label text color meaning**: - **White text**: Clean trend (high confidence) - **Yellow text**: Trend transition (moderate caution) --- ### 🛡️ STEP 3: Final Confirmation with Bar Color **Bar color shows market state** ``` 🔴 Red bar: BUY zone (buying is favored) 🟢 Green bar: SELL zone (selling is favored) ⚪ White bar: Neutral (wait and see) ``` --- ## Detailed Usage ### 📊 Understanding the Chart #### 1. Labels (Market Structure Changes) ``` (1.CHoCH) / (a.CHoCH) : Trend reversal (2.SiMS) / (b.SiMS) : Momentum confirmation (3.BoMS) / (c.BoMS) : Trend continuation ``` #### 2. Boxes (Institutional Order Zones) ``` 📦 Blue boxes: Bullish OB (buy orders accumulated) 📦 Red boxes: Bearish OB (sell orders accumulated) 📦 Black transparent boxes: Liquidity Sweep ``` **How to use Order Blocks**: - Function as support/resistance - Signals within OB have higher reliability - Use for stop-loss placement #### 3. Lines (Trends and Support/Resistance) ``` ━━━ Red lines: EMA20, EMA50, EMA100 (short to mid-term trends) ━━━ Blue lines: 60min NPR/BB bands (support/resistance) ``` #### 4. Bar Colors (Filter 6) ``` Bar color = Real-time market state 🔴 Red: Buying is favored 🟢 Green: Selling is favored ⚪ White: Neutral ``` --- ### 🎯 Practical Trading Flow #### 📍 Preparation Phase ``` 1. Open chart (recommended: 5min or 15min) 2. Add Trend Gazer to chart 3. Start in observation mode (don't enter yet) ``` #### 📍 Entry Decision ``` ✅ CHoCH confirms direction → Uptrend starting ✅ LS Bounce Signal "Long@ HL only" appears → Entry point candidate ✅ Bar turns red → Market supports buying → Entry decision 🎯 ✅ Place stop below nearest Order Block (blue box) ``` #### 📍 Exit Decision ``` 🔴 Opposite LS Bounce Signal "Short@ LH only" appears → Consider taking profit 🔴 Bar turns green → Potential trend reversal, review position 🔴 Stop loss hit → Exit with loss ``` --- ### 💡 Tips for Higher Win Rate #### ✅ DO's ``` 1. Enter AFTER CHoCH appears 2. Prioritize white-text LS Bounce Signals 3. Check higher timeframe (1H or Daily) trend 4. Emphasize signals within Order Blocks 5. Use bar color as final confirmation ``` #### ❌ DON'Ts ``` 1. Enter before CHoCH → No clear direction 2. Enter only on yellow text → Unstable transition period 3. Ignore bar color → Trading against market state 4. Don't check Order Blocks → Unclear support/resistance 5. Enter same direction consecutively → Overtrading ``` --- ## Settings Customization ### 🔧 How to Open Settings ``` 1. Right-click on indicator name on chart 2. Select "Settings..." 3. Settings panel opens ``` --- ### 📋 Recommended Setting Profiles #### 🔰 Beginner Settings (Simple) **Goal**: Reduce noise, show only important signals ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ❌ Direction Filter: OFF ❌ Liquidation Reversal Filter: OFF ❌ ICT Market Structure Filter: OFF ❌ EMA Trend Filter: OFF ❌ OB/FVG Filter 1: OFF ❌ OB/FVG Filter 2: OFF 【SIGNALS】 ✅ Signal 0 (Bonus): ON ✅ Signal 1 (VWC Change): ON ✅ Signal 2 (Liq Rev): ON ❌ Signal 3 (LS): OFF (complex alone) ❌ Signal 4 (LS Break): OFF ❌ Signal 5 (OB+LS NPR): OFF ❌ Signal 6 (OB+LS EMA): OFF 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: OFF ❌ Only show when EMA fills are mixed: OFF ``` **What happens with this setup**: - Only Bonus (black background) signals display - LS Bounce Signals clearly visible - Noisy signals filtered out --- #### 💪 Intermediate Settings (Balanced) **Goal**: Enable key filters for better accuracy ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ✅ ICT Market Structure Filter: ON ❌ Direction Filter: OFF ❌ Liquidation Reversal Filter: OFF ❌ EMA Trend Filter: OFF ❌ OB/FVG Filter 1: OFF ❌ OB/FVG Filter 2: OFF 【SIGNALS】 ✅ Signal 0 (Bonus): ON ✅ Signal 1 (VWC Change): ON ✅ Signal 2 (Liq Rev): ON ✅ Signal 3 (LS): ON ❌ Signal 4 (LS Break): OFF ❌ Signal 5 (OB+LS NPR): OFF ❌ Signal 6 (OB+LS EMA): OFF 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: OFF ❌ Only show when EMA fills are mixed: OFF ``` **What happens with this setup**: - Signals only after CHoCH (trend confirmed) - Filter 6 changes bar colors - Liquidity Sweeps also displayed --- #### 🚀 Advanced Settings (Full Utilization) **Goal**: Master all features ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ✅ ICT Market Structure Filter: ON ✅ Direction Filter: ON ✅ EMA Trend Filter: ON ❌ Liquidation Reversal Filter: OFF (optional) ✅ OB/FVG Filter 1: ON ✅ OB/FVG Filter 2: ON 【SIGNALS】 ✅ All ON 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: ON (reduce EMA50 noise) ✅ Only show when EMA fills are mixed: ON (show only transition zones) ``` **What happens with this setup**: - Fewer signals (precision-focused) - Multiple confirmations greatly reduce false signals - Only signals confirmed by trend, momentum, and zones --- ### 🎨 Display Customization #### Change Label Size ``` 【BUY/SELL SIGNAL APPEARANCE】 → "BUY/SELL Label Size" → Choose from: tiny / small / normal / large / huge Recommended: small (default) ``` #### Order Block Display Settings ``` 【ORDER BLOCK (OB) SETTINGS】 ✅ Show Current TF OB: Current timeframe OB ✅ Show 1min OB: 1-minute OB ✅ Show 5min OB: 5-minute OB ✅ Show 15min OB: 15-minute OB Recommended: Only 15min OB ON (simple) ``` #### Liquidity Sweep Display ``` 【LIQUIDITY SWEEPS SETTINGS】 → "Sweep Length": Sensitivity (small=frequent, large=selective) → "Sweep Option": Standard / Maximum Recommended: Length=40, Option=Standard ``` #### NPR/BB Bands Display ``` 【NPR (NON-REPAINT STDEV) SETTINGS】 ✅ Display 60min NPR Bands: 60-minute support/resistance ❌ Display Current TF NPR Bands: Current timeframe (optional) Recommended: Only 60min ON ``` --- ### ⚙️ Advanced Settings #### Fine-tune Filter 6 ``` 【FINAL FILTERS】 → "Enable Filter 6 (OB/BB/NPR Zone Filter)" When ON: - Bars color-coded red/green/white - Behavior at OB, NPR/BB touches controlled ``` #### LS Bounce Signal Adjustments ``` 【LS BOUNCE SIGNAL】 → "Exclude EMA50 from touch detection" OFF: Detect NPR/BB/EMA50 (all 3) ON: Detect NPR/BB only (exclude EMA50) → "Only show when EMA fills are mixed" OFF: Show all LS Bounce Signals ON: Show only transition zone signals (yellow text) ``` #### MTF (Multi-Timeframe) Control ``` 【ORDER BLOCK (OB) SETTINGS】 → "Disable MTF on 1hr+ Charts" ON: Disable MTF on 1H+ (save memory) OFF: MTF enabled on all timeframes Recommended: ON (unnecessary on larger timeframes) ``` --- ### 🎯 Purpose-Based Configuration Guide #### 🔍 Goal 1: Reduce Signal Count ``` ✅ Bonus Filter: ON ✅ ICT Market Structure Filter: ON ✅ Filter 6: ON ✅ All Signals OFF, only Signal 0 ON ``` #### 🔍 Goal 2: Get More Signals ``` ❌ All Filters OFF ✅ All Signals ON ``` #### 🔍 Goal 3: Trend Following Only ``` ✅ ICT Market Structure Filter: ON ✅ Direction Filter: ON ✅ EMA Trend Filter: ON ``` #### 🔍 Goal 4: Counter-Trend Trading ``` ✅ LS Bounce Signal: ON ✅ Filter 6: ON ❌ ICT Market Structure Filter: OFF ``` #### 🔍 Goal 5: Day Trading (5-15min charts) ``` ✅ Show 15min OB: ON ✅ Display 60min NPR Bands: ON ✅ LS Bounce Signal: ON ❌ Show 1min/5min OB: OFF ``` #### 🔍 Goal 6: Scalping (1-5min charts) ``` ✅ Show 5min OB: ON ✅ Show 15min OB: ON ✅ Display 60min NPR Bands: ON ✅ All Signals: ON ``` --- ### 💾 Saving and Loading Settings #### Save Settings ``` 1. Click "..." in top-right of Settings screen 2. Select "Save as default" → Same settings auto-applied next time ``` #### Reset Settings ``` 1. Click "..." in top-right of Settings screen 2. Select "Reset settings" → Return to default settings ``` --- ## Why Combine Multiple Features? ### 🎯 Problem: Single Indicator Limitations Common trader problems: ``` ❌ RSI alone → Trade against trend, lose ❌ Moving Average alone → Late entry timing ❌ Support/Resistance alone → Caught by false breakouts ``` **Markets are complex**. One angle isn't enough. --- ### 💡 Solution: Multi-Angle Integrated Approach #### 1️⃣ Structure × Zone × Momentum ``` 📐 Structure (ICT CHoCH) → "Which direction is likely?" 📦 Zone (OB/NPR/BB) → "Where will price react?" 💨 Momentum (EMA/VWC) → "Is there momentum now?" ``` **When all 3 align = Highest win-rate timing** --- #### 2️⃣ Multi-Timeframe Analysis ``` Big picture: Confirm Daily direction Medium-term: Check 1H Order Blocks Short-term: Time entry on 5min ``` **Short-term entries aligned with higher timeframes = Better win rate** --- #### 3️⃣ Understanding Liquidity ``` 🎣 Institutional strategy: 1. Intentionally move price opposite to stop out retail 2. Then, move in real direction 💡 Liquidity Sweep = Visualize this "trap" → Read institutional order flow ``` --- ### 🧠 Integration Examples #### Case 1: RSI Alone vs Integrated System **Scenario**: RSI at 30 (oversold) ``` ❌ RSI-only decision: → "Buy!" → But downtrend continues, loss 😢 ✅ Trend Gazer: CHoCH check → Still downtrend ❌ Order Block → In Bearish OB ❌ LS Bounce → SHORT signal only ❌ → Skip or SHORT → Avoid loss ✅ ``` **Result**: Multiple filters block wrong entry --- #### Case 2: LS Bounce Signal 2-Stage Logic **Scenario**: Price touches 60min NPR lower band ``` 🔍 Traditional method: Touched → Buy! → But price continues down 😢 ✅ Trend Gazer: Stage 1: NPR touch + red bar → Flag ON Stage 2: EMA20 crosses above EMA50 → Confirm bounce → Now "Long@ HL only" displays → Entry → Success ✅ ``` **Result**: Not just "touch" but "touch + bounce confirmation" improves accuracy --- ### 🎓 Progressive Learning Design This indicator is designed for **beginners to advanced**: ``` 📖 Beginner (Month 1): Use only CHoCH + LS Bounce Signal → Learn trend and entry points 📖 Intermediate (Months 2-3): Add Order Block + Bar Color → Learn support/resistance and filtering 📖 Advanced (Month 6+): Master all features → Read institutional order flow ``` **Ultimate goal**: Indicator becomes confirmation tool. Your market sense becomes primary. --- ### 🔬 Technical Advantages #### 1. Non-Repaint STDEV (NPR) ``` Normal Bollinger Bands: → Past data changes (repaints) → Inaccurate backtesting NPR: → Past data doesn't change (non-repaint) → Reliable verification possible ``` #### 2. 2-Stage Signal Logic ``` Traditional: Condition met → Immediate signal → Many false signals Trend Gazer: Condition1 → Flag ON → Condition2 → Signal → Confirmation step improves accuracy ``` #### 3. Alternating Filter ``` Problem: Same-direction signals spam → Overtrading Solution: LONG → SHORT → LONG alternating only → Prevent unnecessary entries ``` --- ### 💎 Conclusion: Why Integration? ``` Single indicator = "Partial truth" Integrated system = "3D market perspective" ``` **Markets are multifaceted**. One angle isn't enough. Trend Gazer **integrates multiple screens pros watch simultaneously into ONE**, allowing beginners to read charts with institutional perspective. --- ## FAQ ### ❓ Q1: Which timeframe is best? **A**: Depends on trading style ``` Scalping: 1min ~ 5min Day Trading: 5min ~ 15min Swing: 1H ~ 4H ``` **Important**: LS Bounce Signal only works on 30min and below. --- ### ❓ Q2: Too many signals, confused **A**: Enable filters ``` 【Recommended Settings】 ✅ Bonus Filter: ON ✅ Filter 6: ON ✅ ICT Market Structure Filter: ON → Show only Signal 0 ``` This significantly reduces signal count. --- ### ❓ Q3: No CHoCH appearing, what to do? **A**: Wait or check higher timeframe ``` Method 1: Wait for CHoCH (recommended) Method 2: Check higher timeframe (e.g., Daily) for trend Method 3: Disable ICT Filter (not recommended) ``` **When trend is unclear, sitting out is also strategy**. --- ### ❓ Q4: LS Bounce Signal not appearing **A**: Checkpoints ``` 1. Are you on 30min or below chart? → Doesn't show on 1H+ 2. Are NPR/BB bands displayed? → Check Settings "Display 60min NPR Bands" 3. Is EMA50 excluded? → If "Exclude EMA50" is ON, EMA50 signals won't show ``` --- ### ❓ Q5: Bar color not changing? **A**: Check Filter 6 ``` Settings → FINAL FILTERS → Confirm "Enable Filter 6 (OB/BB/NPR Zone Filter)" is ON If ON but still not changing: → Current price may be outside OB/NPR/BB zones ``` --- ### ❓ Q6: Too many Order Blocks, hard to see **A**: Narrow down displayed OBs ``` Settings → ORDER BLOCK (OB) SETTINGS Recommended: ❌ Show Current TF OB: OFF ❌ Show 1min OB: OFF ❌ Show 5min OB: OFF ✅ Show 15min OB: ON (only this) ``` --- ### ❓ Q7: How to improve win rate? **A**: Thorough multiple confirmations ``` Checklist: ✅ CHoCH appeared ✅ LS Bounce Signal (white text) ✅ Bar color matches (red bar=LONG, green bar=SHORT) ✅ Signal within Order Block ✅ Aligns with higher timeframe trend Enter ONLY when all align ``` --- ### ❓ Q8: Want to practice on demo **A**: Recommended practice method ``` Week 1: Observation only → Watch signals and chart movement → Resist entering Weeks 2-3: Keep records → Screenshot when signal appears → Record subsequent movement Week 4+: Start demo trading → Start with small amounts → Continue keeping records ``` --- ### ❓ Q9: Are there alert features? **A**: Yes, multiple alerts available ``` Setup method: 1. Right-click indicator on chart 2. Select "Add Alert..." 3. Choose from: - ANY ALERT: BUY/SELL Signals - BUY ONLY ALERT - SELL ONLY ALERT - MS UP / MS DOWN - BAR COLOR: RED / LIME - LS BOUNCE: LONG / SHORT Signal ``` --- ### ❓ Q10: Works on other markets? **A**: Yes, works on all markets ``` ✅ Cryptocurrency (BTC, ETH, etc.) ✅ Forex (EUR/USD, USD/JPY, etc.) ✅ Stocks (individual stocks, indices) ✅ Futures (oil, gold, etc.) ``` Works on any market with price and volume data. --- ## 📋 Disclaimer ### ⚠️ Important Notice This indicator is for **educational and informational purposes only**. ``` ❌ NOT investment advice ❌ Does NOT guarantee profits ❌ Past results do NOT guarantee future performance ``` ### Risk Warning ``` ⚠️ Trading involves substantial risk ⚠️ Only trade with funds you can afford to lose ⚠️ Practice extensively on demo account before live trading ⚠️ Make your own informed decisions and act at your own risk ``` --- ## 📞 Support ### Feedback & Questions Feel free to ask questions in TradingView comments section. ### Bug Reports Please report with specific details (timeframe, symbol, screenshots). --- **Author**: rasukaru666 **License**: Mozilla Public License 2.0 **Last Updated**: December 2025 **Version**: Latest --- **Thank you for using Trend Gazer!** **Happy Trading! 📈** ---------------
Indicatore Pine Script®
di rasukaru666
10
⭐ Silver HUD v14.6 ⭐Silver HUD v14.6 is an enhanced Pine Script v5 indicator for micro silver futures (SIL) trading on TradingView, featuring a compact 2-column bottom-right HUD with weighted scoring across 5 engines (trend, flow, momentum, PB, turbo), 2H structure arbitration, divergence detection, volume surge analysis, BUY/SELL arrows, and risk warnings. Expanded from v14.5 with dedicated DIV/VOL rows for better signal context on 5m charts.​ Multi-Engine Scoring Trend Engine EMA20/50 alignment + VWAP direction (1.001%/0.999% thresholds): UP/DOWN/MIXED scores 100/60/20.​ Flow Engine CCIOBV (CCI20 + OBV EMA13 sync) + QQE (RSI14 smoothed with trailing volatility): dual UP/DOWN = strong flow (100), mixed (60).​ Momentum RSI14/MFI14 >55 (UP=100), <45 (DOWN=100), else NEUTRAL (60).​ PB (Pullback) EMA20 deviation: -0.4% to +1.2% = OK (100), ≥1.2% CHASE (70/40), DEEP (30/80 for long/short).​ Turbo ATR14 percentile (>70 EXPANDING, <30 FADE) + BB20 width percentile (<20 SQ): SQ+EXPANDING=BREAKOUT (100).​ Weighted Totals BUY: flow(30%)+mom(25%)+PB(25%)+trend(10%)+turbo(10%); SELL adjusts turbo(20%)/PB(15%). Thresholds: BUY≥75, SELL≥72.​ Advanced Features 2H Arbitration Swing HH/HL/LL/LH detection resolves BUY/SELL conflicts; UP (HH/HL) favors longs, DOWN (LL/LH) shorts.​ Divergence RSI-based: price HH without RSI HH = BEAR DIV; price LL without RSI LL = BULL DIV.​ Volume Surge 2x 20-SMA or 80th percentile: BULL/BEAR SURGE (directional), SURGE (neutral).​ Signals & Risk Raw triggers filtered (no DEEP PB BUY, no DOWN trend BUY, UP flow required); final uses 2H tiebreaker. RISK flags DIV, surges, DEEP PB, trend conflicts, score ties. Tiny BUY/SELL arrows on raw signals.​ HUD Layout 14-row table: TREND/FLOW/MOM/PB/TURBO/FINAL/BUY*/SELL*/2H/DIV/VOL/RISK/Threshold. Stars rate scores (★★★★★=90+), color-coded statuses, gold FINAL. Perfect for SIL scalpers needing confluence + risk at a glance.
Indicatore Pine Script®
di chyg8823
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator Introduction and Theoretical Background Design Rationale Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime. Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility. The Solution Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring. How It Works This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals: Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals. Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking. Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion. Why Use It? Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time. ◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow). ◦ Magenta/Pink Flow: Strong Bearish Trend. ◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop. Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend. ⚖️ Chapter 1: System Architecture Introduction: Composite Analytical Framework System Overview Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior. Operational Objective The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence. Market Microstructure Analysis: Limitations of Conventional Models Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies: • Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance. • Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events. • Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution. Core Design Principles To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles: Principle A: Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility. Principle B: Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon. • Concept: This visualization represents the aggregate strength and consistency of the trend. • Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness. Principle C: Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors: 1. Volatility: Confirmed expansion via the Impulse Core. 2. Momentum: Directional alignment via the Hybrid Oscillator. 3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts. 🔍 Chapter 2: Core Modules & Algorithmic Logic Module A: Impulse Core (Normalized Volatility Deviation) Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states. Volatility Z-Score Normalization The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread. ◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion. ◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance. ◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration. f_impulse() => atr_f = ta.atr(fastLen) // Fast Volatility Baseline atr_s = ta.atr(slowLen) // Slow Volatility Baseline std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation (atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation Algorithmic Framework • Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30). • Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback. • Signal Generation: ◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase. ◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move. Module B: Gradient Oscillator (RSI-SMA Hybrid) Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence. Technical Architecture • Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally. • State Analysis: Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals. • Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions. // Laminar Flow Validation f_validate_trend() => // Calculate spread between Ribbon layers ribbon_spread = ta.stdev(ribbon_array, 15) // Only allow signals if Ribbon is expanded (Laminar Flow) is_flowing = ribbon_spread > min_expansion_threshold // If compressed (Knotted), force signal to false is_flowing ? signal : na Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation) This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends. Dynamic Threshold Adjustment • Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles. • Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic. • Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion. Anti-Greed Logic: Dynamic Threshold Calculation f_adjust_threshold(base_slope, win_streak) => // Adds a 10% penalty to the difficulty for every consecutive win penalty_factor = 0.10 risk_scaler = 1 + (win_streak * penalty_factor) // Returns the new, harder-to-reach threshold base_slope * risk_scaler Module D: Trend Baseline (Triple-Smoothed Structure) The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration. Smoothing Stages 1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action. 2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data. 3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve. Functionality This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline 🚦 Chapter 3: Risk Management & Exit Protocols Quantitative Risk Management (TP/SL & Trailing) Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime. • ATR-Based Dynamic Bracketing: The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR). ◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise. ◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry. • Close-Validation Protocol ("Soft Stop"): Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory. ◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold. ◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility. • Step-Function Trailing Mechanism: To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed: ◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold. ◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL. • Algorithmic Exit Protocols (Dynamic Liquidity Analysis) ◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates. ◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust. Multi-Factor Exit Logic (The Tri-Vector System) The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met: • 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown. • 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation. • 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals. 🎨 Chapter 4: Visualization Guide Gradient Oscillator Ribbon The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market. • Visuals: ◦ Cyan/Blue Ribbon: Indicates Bullish Momentum. ◦ Pink/Magenta Ribbon: Indicates Bearish Momentum. • Interpretation: ◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following. ◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity. ◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating. Trend Baseline The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market. • Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish). • Interpretation: Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it. Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends. Entry Signals & Labels Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence. • Visuals: Labeled signals appear above/below specific candles. • Interpretation: These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized. Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital. Dynamic TP/SL Boxes The semi-transparent colored zones drawn via fill() represent the risk management geometry. • Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels. • Function: Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios). SAR + MACD Glow Small glowing shapes appearing above or below candles. • Visuals: Triangle or circle glows near the price bars. • Interpretation: This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup. Support/Resistance Table A small table located at the bottom-right of the chart. • Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support). • Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments. 🖥️ Chapter 5: Dashboard & Operational Guide Integrated Analytics Panel (Dashboard Overview) To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors. A. Intermediate Structure (12H Trend) • Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window. • Interpretation: ◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow. ◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored. ◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor. B. Composite Confluence Score (Signal Confidence) • Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline). • Grading Scale: Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing. Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation. Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone"). C. Statistical Deviation Status (Mean Reversion) • Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA). • Alert States: Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone. Normal: Price is within standard distribution limits, suitable for trend-following entries. D. Volatility Regime Classification • Metric: Compares current ATR against a 100-period historical baseline to categorize the market state. • Regimes: Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events. Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment. High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance. E. Performance Telemetry • Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe. • Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended. Operational Protocols & Signal Decoding Visual Interpretation Standards • Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes. • Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector. • Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure. System Calibration (Settings) • Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias. • Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise. ⚙️ Chapter 6: System Configuration & Alert Guide This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs. 🌐 LANGUAGE SETTINGS (Localization) ◦ Select Language (Default: English): Function: Instantly translates all chart labels, dashboard texts into your preferred language. Supported: English, Korean, Chinese, Spanish ⚡ IMPULSE CORE SETTINGS (Volatility Engine) ◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility. Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react. ◦ Fast Pulse Length (Default: 10): The short-term ATR period. Role: Detects rapid volatility expansion. ◦ Slow Pulse Length (Default: 30): The long-term ATR baseline. Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses. 🎯 TP/SL SETTINGS (Risk Management) ◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation. ◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands. Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs. ◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry. ◦ Use Soft Stop (Close Basis): Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations. 🔊 RIBBON SETTINGS (Momentum Visualization) ◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon. ◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array. ◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon. Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes. 📎 DISPLAY OPTIONS ◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter. ◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles. 📈 TREND BASELINE (Structural Filter) ◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation. ◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline. ◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid. 🧠 SMART EXIT (Dynamic Liquidity) ◦ Use Smart Exit: Enables the momentum exhaustion logic. ◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits. ◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates. 🛡️ TRAILING STOP (Step) ◦ Use Trailing Stop: Activates the step-function trailing mechanism. ◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price. ◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position. 🌀 SAR & MACD SETTINGS (Secondary Confirmation) ◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters. ◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score. ◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals. 🔄 ANTI-GREED LOGIC (Behavioral Bias) ◦ Strict Entry after Win: Enables the negative feedback loop. ◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win. Role: Prevents overtrading and entering at the top of an extended trend. 🌍 HTF FILTER (Multi-Timeframe) ◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals. ◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals). 📉 RSI PEAK & CHOPPINESS ◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected. ◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market. 📐 SLOPE TRIGGER LOGIC ◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity). ◦ Slope Sensitivity (1.5): The angle required to trigger this override. ⛔ FLAT MARKET FILTER (ADX & ATR) ◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend. ◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market). 🔔 Alert Configuration Guide Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events. How to Set Up: Click the "Alert" (Clock) icon in the TradingView toolbar. Select "Impulse Reactor " from the Condition dropdown. Choose one of the specific trigger conditions below: 🚀 Entry Signals (Trend Initiation) Long Entry: Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align). Usage: Use this to enter new Long positions. Short Entry: Trigger: Fires when a confirmed Bearish Setup is detected. Usage: Use this to enter new Short positions. 🎯 Profit Taking (Target Levels) Long TP: Trigger: Fires when price hits the calculated Take Profit level for a Long trade. Usage: Automate partial or full profit taking. Short TP: Trigger: Fires when price hits the calculated Take Profit level for a Short trade. Usage: Automate partial or full profit taking. 🛡️ Defensive Exits (Risk Management) Smart Exit: Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed). Usage: Recommended for tightening stops or closing positions early to preserve gains. Overbought / Oversold: Trigger: Fires when the ribbon extends into extreme zones. Usage: Warning signal to prepare for a potential reversal or pullback. 💡 Secondary Confirmation (Confluence) SAR+MACD Bullish: Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend. Usage: Ideal for Pyramiding (adding to an existing winning position). SAR+MACD Bearish: Trigger: Fires when Parabolic SAR and MACD align bearishly. Usage: Ideal for adding to short positions. ⚠️ Chapter 7: Conclusion & Risk Disclosure Methodological Synthesis Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align. Disclaimer & Risk Warnings ◦ Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. ◦ No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. ◦ High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. ◦ Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Indicatore Pine Script®
di ApexLegion
12
Мой скриптinputs: window(1), type(0), // 0: close, 1: high low, 2: fractals up down, 3: new fractals persistent(False), exittype(1), nbars(160), adxthres(40), nstop(3000); vars: currentSwingLow(0), currentSwingHigh(0), trailStructureValid(false), downFractal(0), upFractal(0), breakStructureHigh(0), breakStructureLow(0), BoS_H(0), BoS_L(0), Regime(0), Last_BoS_L(0), Last_BoS_H(0), PeakfilterX(false); BoS(window,persistent,type,Bos_H,BoS_L,upFractal,downFractal,breakStructureHigh,breakStructureLow); //BOS Regime If BoS_H <> 0 then begin Regime = 1; // Bullish Last_BoS_H = BoS_H ; end; If BoS_L <> 0 Then begin Regime = -1; // Bearish Last_BoS_L = BoS_L ; end; //Entry Logic: if we are in BoS regime then wait for break swing to entry if ADX(5) of data2 < adxthres then begin if time>900 and Regime = 1 and EntriesToday(date)= 0 and Last_BoS_H upFractal then buy next bar at market; end; if time>900 and EntriesToday(date)= 0 and Regime = -1 and Last_BoS_L>downFractal then begin if close < downFractal then sellshort next bar at market; end; end; // Exits: nbars or stoploss or at the end of the day if marketposition <> 0 and barssinceentry >nbars then begin sell next bar at market; buytocover next bar at market; end; setstoploss(nstop); setexitonclose;
Indicatore Pine Script®
di volodimir18041
Мой скриптinputs: window(1), type(0), // 0: close, 1: high low, 2: fractals up down, 3: new fractals persistent(False), exittype(1), nbars(160), adxthres(40), nstop(3000); vars: currentSwingLow(0), currentSwingHigh(0), trailStructureValid(false), downFractal(0), upFractal(0), breakStructureHigh(0), breakStructureLow(0), BoS_H(0), BoS_L(0), Regime(0), Last_BoS_L(0), Last_BoS_H(0), PeakfilterX(false); BoS(window,persistent,type,Bos_H,BoS_L,upFractal,downFractal,breakStructureHigh,breakStructureLow); //BOS Regime If BoS_H <> 0 then begin Regime = 1; // Bullish Last_BoS_H = BoS_H ; end; If BoS_L <> 0 Then begin Regime = -1; // Bearish Last_BoS_L = BoS_L ; end; //Entry Logic: if we are in BoS regime then wait for break swing to entry if ADX(5) of data2 < adxthres then begin if time>900 and Regime = 1 and EntriesToday(date)= 0 and Last_BoS_H upFractal then buy next bar at market; end; if time>900 and EntriesToday(date)= 0 and Regime = -1 and Last_BoS_L>downFractal then begin if close < downFractal then sellshort next bar at market; end; end; // Exits: nbars or stoploss or at the end of the day if marketposition <> 0 and barssinceentry >nbars then begin sell next bar at market; buytocover next bar at market; end; setstoploss(nstop); setexitonclose;
Indicatore Pine Script®
di volodimir18041
QFT MTF Range DetectorQFT MTF Range Detector — QuantumFlowTrader Description: The QFT MTF Range Detector is a multi-timeframe (MTF) tool designed to identify consolidation zones or ranging conditions across multiple intraday timeframes — from 1 minute up to 4 hours. This indicator is optimized for high-frequency trading environments such as scalping and day trading. How it works: For each selected timeframe, the indicator evaluates five key technical conditions: - Low ADX (less than 17) – suggesting weak trend strength. - Range width within a specific normalized threshold. - Normalized ATR (volatility filter) in a defined range. - RSI near the neutral zone (40–60) with low volatility. - Price proximity to the mid-range (consolidation center). Each condition contributes a score. If at least 3 out of 5 conditions are met, that timeframe is considered to be in a range (consolidation). Visual output: A compact table is displayed on the chart showing all selected timeframes: Black box = Timeframe is in a range (consolidation). Purple box = Not in a range (likely trending or volatile). Timeframes are labeled (e.g., "4H", "15M") for clarity. Customization: Choose display corner (top/bottom, left/right). Enable or disable table borders. Set custom colors for range and non-range signals. Use case: Traders can quickly assess which timeframes are in a range, helping them: Avoid choppy markets, Time entries and exits better, Confirm multi-timeframe alignment. Note: This is not a buy/sell signal indicator. It is a market condition filter to enhance decision-making.
Indicatore Pine Script®
di QuantumFTrader
BTC1W&2W StochRSI Cross up Cross downUpward Signals (Bottom of the Indicator): Symbol Color Size Meaning ▲ (triangle up) Yellow tiny (1W) / small (2W) Momentum Up: K slope up & K < 40 (early bullish) ▲ (triangle up) Orange tiny (1W) / small (2W) Near Up: K within near distance & slope up (amber) ▲ (triangle up) Green tiny (1W) / small (2W) Cross Up: Confirmed bullish crossover ♦ (diamond) Blue large BOTH 1W & 2W bullish cross alignment (strong buy) Downward Signals (Top of the Indicator): Symbol Color Size Meaning ▼ (triangle down) Yellow tiny (1W) / small (2W) Momentum Down: K slope down & K > 60 (early bearish) ▼ (triangle down) Orange tiny (1W) / small (2W) Near Down: K within near distance & slope down (amber) ▼ (triangle down) Red tiny (1W) / small (2W) Cross Down: Confirmed bearish crossover ♦ (diamond) Red large BOTH 1W & 2W bearish cross alignment (strong sell) Background Colors: Green background — bullish states detected (either 1W or 2W bullish conditions) Red background — bearish states detected (either 1W or 2W bearish conditions) When you get: Small green triangle (2W bullish cross) Blue diamond (both 1W & 2W aligned)
Indicatore Pine Script®
di only6greens
Per Bak Self-Organized CriticalityTL;DR: This indicator measures market fragility. It measures the system's vulnerability to cascade failures and phase transitions. I've added four independent stress vectors: tail risk, volatility regime, credit stress, and positioning extremes. This allows us to quantify how susceptible markets are to disproportionate moves from small shocks, similar to how a steep sandpile is primed for avalanches. Avalanches, forest fires, earthquakes, pandemic outbreaks, and market crashes. What do they all have in common? They are not random. These events follow power laws - stable systems that naturally evolve toward critical states where small triggers can unleash catastrophic cascades. For example, if you are building a sandpile, there will be a point with a little bit additional sand will cause a landslide. Markets build fragility grain by grain, like a sandpile approaching avalanche. The Per Bak Self-Organized Criticality (SOC) indicator detects when the markets are a few grains away from collapse. This indicator is highly inspired by the work of Per Bak related to the science of self-organized criticality . As Bak said: "The earthquake does not 'know how large it will become'. Thus, any precursor state of a large event is essentially identical to a precursor state of a small event." For markets, this means: We cannot predict individual crash size from initial conditions We can predict statistical distribution of crashes We can identify periods of increased systemic risk (proximity to critical state) BTW, this is a forwarding looking indicator and doesn't reprint. :) The Story of Per Bak In 1987, Danish physicist Per Bak and his colleagues discovered an important pattern in nature: self-organized criticality. Their sandpile experiment revealed something: drop grains of sand one by one onto a pile, and the system naturally evolves toward a critical state. Most grains cause nothing. Some trigger small slides. But occasionally a single grain triggers a massive avalanche. The key insight is that we cannot predict which grain will trigger the avalanche, but you can measure when the pile has reached a critical state. Why Markets Are the Ultimate SOC System? Financial markets exhibit all the hallmarks of self-organized criticality: Interconnected agents (traders, institutions, algorithms) with feedback loops Non-linear interactions where small events can cascade through the system Power-law distributions of returns (fat tails, not normal distributions) Natural evolution toward fragility as leverage builds, correlations tighten, and positioning crowds Phase transitions where calm markets suddenly shift to crisis regimes Mathematical Foundation Power Law Distributions Traditional finance assumes returns follow a normal distribution. "Markets return 10% on average." But I disagree. Markets follow power laws: P(x) ∝ x^(-α) Where P(x) is the probability of an event of size x, and α is the power law exponent (typically 3-4 for financial markets). What this means: Small moves happen constantly. Medium moves are less frequent. Catastrophic moves are rare but follow predictable probability distributions. The "fat tails" are features of critical systems. Critical Slowing Down As systems approach phase transitions, they exhibit critical slowing down—reduced ability to absorb shocks. Mathematically, this appears as: τ ∝ |T - T_c|^(-ν) Where τ is the relaxation time, T is the current state, T_c is the critical threshold, and ν is the critical exponent. Translation: Near criticality, markets take longer to recover from perturbations. Fragility compounds. Component Aggregation & Non-Linear Emergence The Per Bak SOC our index aggregates four normalized components (each scaled 0-100) with tunable weights: SOC = w₁·C_tail + w₂·C_vol + w₃·C_credit + w₄·C_position Default weights (you can change this): w₁ = 0.34 (Tail Risk via SKEW) w₂ = 0.26 (Volatility Regime via VIX term structure) w₃ = 0.18 (Credit Stress via HYG/LQD + TED spread) w₄ = 0.22 (Positioning Extremes via Put/Call ratio) Each component uses percentile ranking over a 252-day lookback combined with absolute thresholds to capture both relative regime shifts and extreme absolute levels. The Four Pillars Explained 1. Tail Risk (SKEW Index) Measures options market pricing of fat-tail events. High SKEW indicates elevated outlier probability. C_tail = 0.7·percentrank(SKEW, 252) + 0.3·((SKEW - 115)/0.5) 2. Volatility Regime (VIX Term Structure) Combines VIX level with term structure slope. Backwardation signals acute stress. C_vol = 0.4·VIX_level + 0.35·VIX_slope + 0.25·VIX_ratio 3. Credit Stress (HYG/LQD + TED Spread) Tracks high-yield deterioration versus investment-grade and interbank lending stress. C_credit = 0.65·percentrank(LQD/HYG, 252) + 0.35·(TED/0.75)·100 4. Positioning Extremes (Put/Call Ratio) Detects extreme hedging demand through percentile ranking and z-score analysis. C_position = 0.6·percentrank(P/C, 252) + 0.4·zscore_normalized What the Indicator Really Measures? Not Volatility but Fragility Markets Going Down ≠ Fragility Building (actually when markets go down, risk and fragility are released) The 0-100 Scale & Regime Thresholds The indicator outputs a 0-100 fragility score with four regimes: 🟢 Safe (0-39): System resilient, can absorb normal shocks 🟡 Building (40-54): Early fragility signs, watch for deterioration 🟠 Elevated (55-69): System vulnerable 🔴 Critical (70-100): Highly susceptible to cascade failures Further Reading for Nerds Bak, P., Tang, C., & Wiesenfeld, K. (1987). "Self-organized criticality: An explanation of 1/f noise." Physical Review Letters. Bak, P. & Chen, K. (1991). "Self-organized criticality." Scientific American. Bak, P. (1996). How Nature Works: The Science of Self-Organized Criticality. Copernicus. Feedback is appreciated :)
Indicatore Pine Script®
di HenriqueCentieiro
3
Advanced ICC Multi-Timeframe 1.0Advanced ICC Multi-Timeframe Trading System A comprehensive implementation and interpretation of the Indication, Correction, Continuation (ICC) trading methodology made popular by Trades by Sci, enhanced with advanced multi-timeframe analysis and automation features. ⚠️ CRITICAL TRADING WARNINGS: DO NOT blindly follow BUY/SELL signals from this indicator This indicator shows potential entry points but YOU must validate each trade PAPER TRADE EXTENSIVELY before risking real capital BACKTEST THOROUGHLY on your chosen instruments and timeframes The ICC methodology requires understanding and discretion - automated signals are guidance only This tool aids analysis but does not replace proper trade planning, risk management, or trader judgment ⚠️ Important Disclaimers: This indicator is not endorsed by or affiliated with Trades by Sci This is an early implementation and interpretation of the ICC methodology May not work exactly as Trades by Sci executes his trades and entries Requires further debugging, backtesting, and real-world validation Completely free to use - no purchase required I'm just one person obsessed with this method and wanted some better visualization of the chart/entries About ICC: The ICC method identifies complete market cycles through three phases: Indication (breakout), Correction (pullback), and Continuation (entry). This indicator automates the identification of these phases and adds powerful features for modern traders. Key Features: Multi-Timeframe Capabilities: Automatic timeframe detection with optimized settings for 5m, 15m, 30m, 1H, 4H, and Daily charts Higher timeframe overlay to view HTF ICC levels on lower timeframe charts for precise entry timing Smart defaults that adjust swing length and consolidation detection based on your timeframe Advanced Phase Tracking: Complete ICC cycle tracking: Indication, Correction, Consolidation, Continuation, and No Setup phases Live structure detection shows potential peaks/troughs before full confirmation Intelligent invalidation logic detects failed setups when market structure reverses Dynamic phase backgrounds for instant visual confirmation Three Types of Entry Signals: Traditional Entries - Price crosses back through the original indication level (strongest signals) "BUY" (green) / "SELL" (red) Breakout Entries - Price breaks out of consolidation range in the same direction "BUY" (green) / "SELL" (red) Reversal Entries (Optional, can be toggled off) - Price breaks consolidation in opposite direction, indicating failed setup "⚠ BUY" (yellow) / "⚠ SELL" (orange) More aggressive, counter-trend signals Can be disabled for more conservative trading Professional Features: Volatility-based support/resistance zones (ATR-adjusted) that adapt to market conditions Historical zone tracking (0-3 configurable) with visual hierarchy Comprehensive real-time info table displaying all key metrics Full alert system for entries, indications, and consolidation detection Visual distinction between high-confidence trend entries and cautionary reversal entries 📖 USAGE GUIDE Entry Signal Types: The indicator provides three types of entry signals with visual distinction: Strong Entries (High Confidence): "BUY" (bright green) / "SELL" (bright red) Includes traditional entries (crossing back through indication level) and breakout entries (breaking consolidation in trend direction) These are trend continuation or breakout signals with higher probability Recommended for all traders Reversal Entries (Caution - Counter-Trend): "⚠ BUY" (yellow) / "⚠ SELL" (orange) Triggered when price breaks out of correction/consolidation in the OPPOSITE direction Indicates a failed setup and potential trend reversal More aggressive, counter-trend plays Can be toggled off in settings for more conservative trading Recommended only for experienced traders or after thorough backtesting Swing Length Settings: The swing length determines how many bars on each side are needed to confirm a swing high/low. This is the most important setting for tuning the indicator to your style. Auto Mode (Recommended for beginners): Toggle "Use Auto Timeframe Settings" ON 5-minute: 30 bars 15-minute: 20 bars 30-minute: 12 bars 1-hour: 7 bars 4-hour: 5 bars Daily: 3 bars Manual Mode: Toggle "Use Auto Timeframe Settings" OFF Lower values (3-7): More aggressive, detects smaller swings Pros: More signals, faster entries, catches smaller moves Cons: More noise, more false signals, requires tighter stops Best for: Scalping, active day trading, volatile markets Higher values (12-20): More conservative, only major swings Pros: More reliable signals, fewer false breakouts, clearer structure Cons: Fewer signals, delayed entries, might miss smaller opportunities Best for: Swing trading, position trading, trending markets Default Manual Setting: 7 bars (balanced for 1H charts) Minimum: 3 bars Consolidation Bars Setting: Determines how many bars without new structure are needed before flagging consolidation. Lower values (3-10): Faster detection, catches brief pauses, more sensitive Best for: Lower timeframes, volatile markets, avoiding any chop Higher values (20-40): More reliable, only flags true extended consolidation Best for: Higher timeframes, trending markets, patient traders Current defaults scale with timeframe (more bars needed on shorter timeframes) Historical S/R Zones: Shows previous support and resistance levels to provide context. Default: 2 historical zones (shows current + 2 previous) Range: 0-3 zones Visual Hierarchy: Older zones are more transparent with dashed borders Usage: Higher numbers (2-3) show more historical context but can clutter the chart. Start with 2 and adjust based on your preference. Live Structure Feature (Yellow Warning ⚠): Provides early warning of potential structure changes before full confirmation. What it does: Detects potential swing highs/lows after just 2 bars instead of waiting for full swing_length confirmation Live Peak: Shows when a high is followed by 2 lower closes (potential top forming) Live Trough: Shows when a low is followed by 2 higher closes (potential bottom forming) Important: These are UNCONFIRMED - they may be invalidated if price reverses Use case: Get early awareness of potential reversals while waiting for confirmation Displayed in: Info table only (no visual markers on chart to reduce clutter) Only shows: Peaks higher than last swing high, or troughs lower than last swing low (filters out noise) Higher Timeframe (HTF) Analysis: View higher timeframe ICC structure while trading on lower timeframes. How to enable: Toggle "Show Higher Timeframe ICC" ON Setup: Set "Higher Timeframe" to your reference timeframe Example: Trading on 15-minute? Set HTF to 240 (4-hour) or 60 (1-hour) Example: Trading on 5-minute? Set HTF to 60 (1-hour) or 15 (15-minute) What it shows: HTF indication levels displayed as dashed lines Blue = HTF Bullish Indication Purple = HTF Bearish Indication HTF phase and levels shown in info table Trading workflow: Check HTF phase for overall market direction Wait for HTF correction phase Drop to lower timeframe to find precise entries Enter when lower TF shows continuation in alignment with HTF Best practice: HTF should be 3-4x your trading timeframe for best results Reversal Entries Toggle: Default: ON (shows all signal types) Toggle OFF for more conservative trading (only trend continuation signals) Recommended: Backtest with both settings to see which works better for your style New traders should consider disabling reversal entries initially Volatility-Based Zones: When enabled, support/resistance zones automatically adjust their height based on ATR (Average True Range). More volatile = wider zones Less volatile = tighter zones Toggle OFF for fixed-width zones Community Feedback Welcome: This is an evolving project and your input is valuable! Please share: Bug reports and issues you encounter Feature requests and suggestions for improvement Results from your backtesting and live trading experience Feedback on the reversal entry feature (too aggressive? working well?) Ideas for better aligning with the ICC methodology Perfect for traders learning or implementing the ICC methodology with the benefit of modern automation, multi-timeframe analysis, and flexible entry signal options.
Indicatore Pine Script®
di jadetrue
12
IU Momentum OscillatorDESCRIPTION: The IU Momentum Oscillator is a specialized trend-following tool designed to visualize the raw "energy" of price action. Unlike traditional oscillators that rely solely on closing prices relative to a range (like RSI), this indicator calculates momentum based on the ratio of bullish candles over a specific lookback period. This "Neon Edition" has been engineered with a focus on visual clarity and aesthetic depth. It utilizes "Shadow Plotting" to create a glowing effect and dynamic "Trend Clouds" to highlight the strength of the move. The result is a clean, modern interface that allows traders to instantly gauge market sentiment—whether the bulls or bears are in control—without cluttering the chart with complex lines. USER INPUTS: - Momentum Length (Default: 20): The number of past candles analyzed to count bullish occurrences. - Momentum Smoothing (Default: 20): An SMA filter applied to the raw data to reduce noise and provide a cleaner wave. - Signal Line Length (Default: 5): The length of the EMA signal line used to generate crossover signals and the "Trend Cloud." - Overbought / Oversold Levels (Default: 60 / 40): Thresholds that define extreme market conditions. - Colors: Fully customizable Neon Cyan (Bullish) and Neon Magenta (Bearish) inputs to match your chart theme. LONG CONDITION: - Signal: A Buy signal is indicated by a small Cyan Circle. - Logic: Occurs when the Main Momentum Line (Glowing) crosses ABOVE the Grey Signal Line. - Visual Confirmation: The "Trend Cloud" turns Cyan and expands, indicating that bullish momentum is accelerating relative to the recent average. SHORT CONDITIONS: - Signal: A Sell signal is indicated by a small Magenta Circle. - Logic: Occurs when the Main Momentum Line (Glowing) crosses BELOW the Grey Signal Line. - Visual Confirmation: The "Trend Cloud" turns Magenta, indicating that bearish pressure is increasing. WHY IT IS UNIQUE: 1. Candle-Count Logic: Most oscillators calculate price distance. This indicator calculates price participation (how many candles were actually green vs red). This offers a different perspective on trend sustainability. 2. Optimized Performance: The script uses math.sum functions rather than heavy for loops, ensuring it loads instantly and runs smoothly on all timeframes. 3. Visual Hierarchy: It uses dynamic gradients and transparency (Alpha channels) to create a "Glow" and "Cloud" effect. This makes the chart easier to read at a glance compared to flat, single-line oscillators. HOW USER CAN BENEFIT FROM IT: - Trend Confirmation: Traders can use the "Trend Cloud" to stay in trades longer. As long as the cloud is thick and colored, the trend is strong. - Divergence Spotting: Because this calculates momentum differently than RSI, it can often show divergences (price goes up, but the count of bullish candles goes down) earlier than standard tools. - Scalping: The crisp crossover signals (Circles) provide excellent entry triggers for scalpers on lower timeframes when combined with key support/resistance levels. DISCLAIMER: This source code and the information presented here are for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. You should not rely solely on this indicator to make trading decisions. Always perform your own due diligence, manage your risk appropriately, and consult with a qualified financial advisor before executing any trades.
Indicatore Pine Script®
di Shivam_Mandrai
Easy Crypto Signal FREE🆓 FREE Bitcoin & Crypto Trading Indicator Easy Crypto Signal FREE helps you make better trading decisions with real-time BUY/SELL signals based on multiple technical indicators. ✅ What you get in FREE version: • Real-time BUY/SELL signals (green/red arrows) • Trading SCORE (0-100%) - market strength indicator • Works on BTC, ETH, and all major altcoins • Optimized for 4h timeframe (works on all timeframes) • Simple visual interface • Basic alert system 📊 How it works: The indicator combines RSI, MACD, EMA trends, and volume analysis to generate a composite SCORE (0-100%). • SCORE > 65% = BUY signal 🟢 • SCORE < 35% = SELL signal 🔴 • SCORE 35-65% = WAIT (neutral zone) 🟡 ⚠️ FREE Version Limitations: • No detailed RSI values • No MACD trend details • No trend strength indicators • Fixed sensitivity (65%) • Limited customization 💎 Want the FULL PRO version? 🚀 PRO includes: • Full RSI + MACD + Trend analysis displayed • Customizable sensitivity (40-80%) • Advanced alert customization • Professional clean interface • Volume strength indicator • NO watermarks • Premium support 📊 Proven Backtest Results: • 57.1% Win Rate • 3.36 Profit Factor (Excellent) • +9.55% return in 3 months • Only -2.69% Max Drawdown (Low Risk) 🔗 Get PRO version: 📈 Best practices: 1. Use on 4h timeframe for best results 2. Combine with your own analysis 3. Always set Stop Loss (5-10%) 4. Test on demo account first 5. Don't trade based on signals alone ⚠️ Risk Disclaimer: Cryptocurrency trading involves substantial risk. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never invest more than you can afford to lose. 📧 Questions or Feedback? Comment below or message me directly! 🌟 If you find this helpful, please give it a like and share! v1.0 - Initial FREE release • Basic BUY/SELL signal system • Score indicator 0-100% • Optimized for 4h timeframe • Works on all crypto pairs
Indicatore Pine Script®
di Golkar22
1
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI OVERVIEW The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones. The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable. THE THEORY Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change. Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency. This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree: Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy. Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt. Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy. When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition. HOW IT CHANGES THE STOCHASTIC RSI Standard Stochastic RSI: 1. Calculate RSI with fixed period (14 bars) 2. Apply Stochastic formula over fixed period (14 bars) 3. Smooth with fixed periods Ehlers Enhanced Cycle Stochastic RSI: 1. Detect dominant cycle using three methods 2. Confirm cycle measurement (methods must agree) 3. Calculate RSI with period scaled to the detected cycle 4. Apply Stochastic formula with cycle-scaled lookback 5. Smooth adaptively The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws. The Period Multipliers let you fine-tune this relationship: • 1.0 = Use the full detected cycle (smoother, fewer signals) • 0.5 = Use half the cycle (more responsive, catches turns earlier) INTERPRETATION Reading the Oscillator: • K Line (Blue) — The main signal line. Moves between 0 and 100. • D Line (Orange) — Smoothed version of K. Use for confirmation. • Above 80 — Overbought. Momentum stretched to upside. • Below 20 — Oversold. Momentum stretched to downside. • Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish. Spectral Dilation (optional): When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for: • Very noisy instruments • Lower timeframes • When confidence stays persistently low
Indicatore Pine Script®
di B3AR_Trades
KAMA Flip strategyI built this strategy because I wanted something that doesn’t overcomplicate trading. No 20 indicators, no guessing, no “maybe I should close here.” Just a clear momentum flip, a defined stop, and a defined take profit. (for me on 1D BTC chart it works best with 6% stoploss and 3% takeprofit, lookback should be 40, everything else standard) The idea is simple: when momentum shifts, I want to be on the right side of it. KAMA is good for this because it speeds up when the market moves and slows down when it doesn’t. I normalize it so it becomes a clean zero-line oscillator. Above zero means momentum is turning up. Below zero means it’s turning down. That’s the entire entry logic. A flip is a flip. The exit logic is just as simple: one stop loss, one take profit, both fixed percentages from the entry. The position closes 100% at the target or the stop. No scaling in, no scaling out, no trailing. It’s straightforward and easy to analyze because every trade has the exact same structure. I originally made this for BTC on the daily chart, but nothing stops you from trying it on other charts. If you want it only to go long, only to go short, or take both sides, you can set that. All the KAMA parameters are open so you can play with how reactive the signal is. The visuals and SL/TP lines can be turned on or off depending on how clean you want your chart. This isn’t financial advice. It’s just a system I like because it’s simple, objective, and does exactly what it’s supposed to do. Test it, adjust it, break it, rebuild it — do whatever fits your own approach.
Strategia Pine Script®
di SystemsOverFeelings
RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals. Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing. What was once based on experience and observation is now grounded in math. ✦ ✦ ✦ ✦ ✦ 💡 Example Use Cases RSI(14): Classic overbought/oversold signals + divergence Support in an uptrend using RSI(14) Range breakouts using RSI(21) Short-term pullbacks using RSI(5) ✦ ✦ ✦ ✦ ✦ THE PAST: RSI Interpretation Required Multiple Rulebooks Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length: • In uptrends, RSI tends to hold higher support zones (40–50) • In downtrends, RSI tends to resist below 50–60 • Short RSIs (e.g., RSI(2)) require far more extreme threshold values • Longer RSIs cluster near the center and rarely reach 70/30 These observations were correct — but lacked a unifying mathematical explanation. ✦ ✦ ✦ ✦ ✦ THE PRESENT: One Framework Handles RSI(2) to RSI(200) Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using: • The Logit transformation to remove 0–100 scale distortion • A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes As a result, RSI values become directly comparable across all lookback periods. ✦ ✦ ✦ ✦ ✦ 💡 How the Adaptive Zones Are Calculated The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI . Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods. This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model: Body (±0.66σ) — consolidation / equilibrium Shoulders (±1σ to ±2.14σ) — trending region Tails (outside of ±2.14σ) — rare, high-volatility behavior Transitions between these regimes are defined by the derivatives of the position (CDF) function : • ±1σ → shift from consolidation to trend • ±√3σ → shift from trend to exhaustion Adaptive Zone Summary Consolidation: −0.66σ to +0.66σ Support/Resistance: ±0.66σ to ±1σ Uptrend/Downtrend: ±1σ to ±√3σ Overbought/Oversold: ±√3σ to ±2.14σ Tails: outside of ±2.14σ ✦ ✦ ✦ ✦ ✦ 📌 Inverse Transformation: From σ-Space Back to RSI A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range. RSI(n) = 50 + 50 · tanh(z / √(n − 1)) The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand. ✦ ✦ ✦ ✦ ✦ Key Features Mathematically derived adaptive zones for any RSI period Support/resistance zone identification for trend-aligned reversals Optional OHLC RSI bars/candles for intrabar zone interactions Fully customizable zone visibility and colors Statistically consistent interpretation across all markets and timeframes Inputs RSI Length — core parameter controlling zone scaling RSI Display : Line / Bar / Candle visualization modes ✦ ✦ ✦ ✦ ✦ 💡 How to Use This indicator is a framework , not a binary signal generator. Start by defining the question you want answered, e.g.: • Where is the breakout? • Is price overextended or still trending? • Is the correction ending, or is trend reversing? Then: Choose the RSI length that matches your timeframe Observe which adaptive zone price is interacting with Interpret market behavior accordingly Example: Long-Term Trend Assesment using RSI(200) A trader may ask: "Is this a long term top?" Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong. ✦ ✦ ✦ ✦ ✦ 👉 Practical tip: If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar . Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates. ✦ ✦ ✦ ✦ ✦ Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes. framework ≠ guaranteed signal --- Attribution & License This indicator incorporates: • Logit transformation of RSI • Variance scaling using 2/√(n−1) • Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives • Inverse TANH(z) transform for mapping z-scores back into bounded RSI space Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit. © AdaptiveRSI
Indicatore Pine Script®
di AdaptiveRSI
17
Sideways & Breakout Detector + Forecast//@version=6 indicator("Sideways & Breakout Detector + Forecast", overlay=true, max_labels_count=500) // Inputs lengthATR = input.int(20, "ATR Länge") lengthMA = input.int(50, "Trend MA Länge") sqFactor = input.float(1.2, "Seitwärtsfaktor") brkFactor = input.float(1.5, "Breakoutfaktor") // ATR / Volatilität atr = ta.atr(lengthATR) atrSMA = ta.sma(atr, lengthATR) // Basislinie / Trend basis = ta.sma(close, lengthATR) trendMA = ta.sma(close, lengthMA) // Seitwärtsbedingung isSideways = atr < atrSMA * sqFactor // Breakouts upperBreak = close > basis + atr * brkFactor lowerBreak = close < basis - atr * brkFactor // Vorhergesagter Ausbruch (Forecast) // Wenn Seitwärtsphase + Kurs nahe obere oder untere Kanalgrenze forecastBull = isSideways and (close > basis + 0.5 * atr) forecastBear = isSideways and (close < basis - 0.5 * atr) // Farben barcolor(isSideways ? color.new(color.yellow, 40) : na) barcolor(upperBreak ? color.green : na) barcolor(lowerBreak ? color.red : na) // Breakout-Bänder plot(basis + atr * brkFactor, "Bull Break Zone", color=color.new(color.green, 60)) plot(basis - atr * brkFactor, "Bear Break Zone", color=color.new(color.red, 60)) // Labels (klein) if isSideways label.new(bar_index, close, "Seitwärts", color=color.yellow, style=label.style_label_center, size=size.tiny) if upperBreak label.new(bar_index, high, "Bull Breakout", color=color.green, style=label.style_label_up, size=size.tiny) if lowerBreak label.new(bar_index, low, "Bear Breakout", color=color.red, style=label.style_label_down, size=size.tiny) // Vorhergesagte Ausbrüche markieren plotshape(forecastBull, title="Forecast Bull", location=location.abovebar, color=color.new(color.green, 0), style=shape.triangleup, size=size.tiny) plotshape(forecastBear, title="Forecast Bear", location=location.belowbar, color=color.new(color.red, 0), style=shape.triangledown, size=size.tiny) // Alerts alertcondition(isSideways, "Seitwärtsphase", "Der Markt läuft seitwärts.") alertcondition(upperBreak, "Bull Breakout", "Ausbruch nach oben!") alertcondition(lowerBreak, "Bear Breakout", "Ausbruch nach unten!") alertcondition(forecastBull, "Forecast Bull", "Voraussichtlicher Bull-Ausbruch!") alertcondition(forecastBear, "Forecast Bear", "Voraussichtlicher Bear-Ausbruch!")
Indicatore Pine Script®
di dirken81