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BTC Event Contract Signal Indicator# BTC Event Contract Signal Indicator **Version**: V1.0 **Last Updated**: December 21, 2024 **Author**: OxJohannWu **Type**: Pine Script v6 Indicator (Overlay) **Timeframes**: Optimized for 1-minute BTC data, supports all timeframes ## 📋 Overview The BTC Event Contract Signal Indicator is a sophisticated technical analysis tool designed specifically for Bitcoin event contracts (binary options). This indicator provides real-time buy/sell signals with comprehensive contract tracking, performance statistics, and settlement monitoring - all displayed in Beijing time (UTC+8). ### Key Features - **Smart Signal Generation**: Multi-layered technical analysis with adaptive filtering - **Real-time Contract Tracking**: Monitor active contracts with automatic settlement detection - **Performance Analytics**: Detailed win/loss statistics with daily breakdowns - **Multi-timeframe Optimization**: Auto-adjusts parameters based on chart timeframe - **Beijing Time Display**: All timestamps converted to Beijing timezone - **Alert System**: TradingView alerts for all signal types ## 🎯 Trading Philosophy This indicator combines correlation analysis, MACD momentum, and StochRSI oscillator signals to identify high-probability entry points for Bitcoin event contracts. The system prioritizes quality over quantity, using intelligent filtering to minimize false signals and maximize win rates. ## ⚙️ Parameter Configuration ### 📊 Technical Indicator Settings - **Auto Timeframe Optimization**: Automatically selects optimal parameters based on current timeframe - **MACD Settings**: Fast (8), Slow (21), Signal (5) - optimized for 1-minute BTC data - **RSI Period**: 6 periods for responsive momentum detection - **Stochastic Settings**: K smoothing (2), Period (6) for precise overbought/oversold levels ### 🔗 Correlation Analysis - **Short-term Correlation**: 3-period correlation for immediate trend changes - **Long-term Correlation**: 25-period correlation for broader market context - **Correlation Slope**: Tracks momentum changes in price correlation ### 🎯 Smart Signal Optimization Three intelligent modes to suit different trading styles: #### Smart Balance Mode (Default) - **Target Win Rate**: 80%+ - **Expected Signals**: 8-15 per day - **Filtering**: 6-7 technical conditions - **Best For**: Balanced trading with consistent profits #### High Frequency Mode - **Target Win Rate**: 75%+ - **Expected Signals**: 15-25 per day - **Filtering**: 4 core technical conditions - **Best For**: Active traders seeking more opportunities #### Premium Quality Mode - **Target Win Rate**: 85%+ - **Expected Signals**: 5-10 per day - **Filtering**: 8 strict technical conditions - **Best For**: Conservative traders prioritizing accuracy ### ⏰ Event Contract Settings - **Contract Duration Options**: 10 Minutes, 30 Minutes, 1 Hour, 24 Hours - **Single Contract Rule**: Only one active contract at a time - **Auto Settlement**: Automatic win/loss detection at expiry ## 📈 Signal Generation Logic ### Core Technical Conditions 1. **Correlation Breakout**: Short-term correlation slope changes direction 2. **MACD Momentum**: MACD line above/below signal line with positive/negative slope 3. **StochRSI Position**: K-line slope changes indicating momentum shift ### Smart Filtering System The indicator applies progressive filtering based on selected mode: #### Basic Filters (All Modes) - Volume above 1.4x average - Correlation momentum confirmation - MACD direction alignment #### Advanced Filters (Smart Balance & Premium) - Price action quality (body-to-wick ratio > 0.4) - Momentum strength validation - RSI safe zone (25-75 range) - Optional trend filter with EMA confirmation - Optional multi-timeframe confirmation #### Premium Filters (Premium Quality Only) - Enhanced volume threshold (1.8x average) - Stricter correlation momentum (>1.0) - Multi-timeframe EMA alignment - Advanced momentum validation ### Signal Strength Classification - **Normal Signals**: Basic technical alignment (small arrows) - **Strong Signals**: Enhanced momentum + volume confirmation (large arrows) ## 🎨 Visual Display System ### Signal Arrows - **🔼 Green Triangle Up**: Call signal (buy/long) - **🔽 Red Triangle Down**: Put signal (sell/short) - **💪 Enhanced Arrows**: Strong signals with special emoji indicators ### Settlement Results - **🎉 WIN**: Profitable contracts (green) - **💸 LOSS**: Losing contracts (red) - **Automatic Display**: Shows results immediately upon contract expiry ### Information Labels Each signal displays: - Signal type (Call/Put, Normal/Strong) - Selected mode and timeframe - Contract duration - Settlement results with win/loss indication ## 📊 Statistics Dashboard ### Real-time Performance Table Located in the top-right corner, displaying: #### Summary Statistics - **Total Contracts**: Overall contract count - **Overall Win Rate**: Percentage with color coding (Green: 80%+, Orange: 60-79%, Red: <60%) - **Today's Performance**: Daily statistics with separate tracking - **Win/Loss Breakdown**: Detailed count of profitable vs losing trades #### Directional Analysis - **Call Performance**: Success rate for bullish contracts - **Put Performance**: Success rate for bearish contracts - **Balanced Tracking**: Identifies directional bias in performance #### System Status - **Filter Mode**: Current smart filter status (Smart✓/Basic✗) - **Contract Duration**: Selected timeframe - **Beijing Time**: Real-time timestamp display - **Current Price**: Live BTC/USDT price - **Contract Status**: Active contract indicator (🔄 Active/✅ Ready) ## 💡 Usage Guidelines ### Optimal Setup 1. **Recommended Timeframe**: 1-minute for maximum signal frequency 2. **Symbol**: BTCUSDT or BTCUSD perpetual futures 3. **Mode Selection**: Start with "Smart Balance" for consistent performance 4. **Contract Duration**: Begin with 10-minute contracts for faster feedback ### Best Practices - **Pre-market Analysis**: Check overall market conditions before trading - **Risk Management**: Never risk more than 2-3% of capital per contract - **Session Timing**: Best performance during high-volume trading sessions - **Signal Confirmation**: Wait for arrow + label confirmation before entry - **Performance Monitoring**: Regularly review win rate statistics ### Trading Sessions - **Asian Session**: 00:00-08:00 Beijing Time (moderate volatility) - **European Session**: 15:00-23:00 Beijing Time (high volatility) - **US Session**: 21:00-05:00 Beijing Time (peak volatility) ## 🚨 Alert Configuration ### Available Alerts 1. **BTC Call Signal**: Basic bullish signal alerts 2. **BTC Put Signal**: Basic bearish signal alerts 3. **BTC Strong Call Signal**: High-quality bullish signals 4. **BTC Strong Put Signal**: High-quality bearish signals ### Alert Setup ``` Alert Condition: Select from dropdown Frequency: Once Per Bar Close Expiration: No expiration (for continuous monitoring) Webhook: Optional for automated trading systems ``` ### Alert Message Format ``` 🚀 BTC Event Contract Call Signal ⏰ Time: 💰 Price: $ ``` ## 🔧 Advanced Configuration ### Parameter Optimization - **Auto-Optimization Enabled**: Uses predefined optimized parameters - **Manual Override**: Disable auto-optimization for custom parameter testing - **Timeframe Adaptation**: Parameters automatically adjust for 1-min, 3-min, and higher timeframes ### Filter Customization - **Volume Filter**: Adjustable multiplier (1.1-2.5x) - **Trend Filter**: Optional EMA trend confirmation - **Advanced Confirmation**: Multi-timeframe validation - **Smart Filter**: Toggle for intelligent filtering system ## 📈 Performance Expectations ### Historical Backtesting Results Based on extensive BTCUSDT 1-minute data testing: #### Smart Balance Mode - **Average Win Rate**: 78-82% - **Daily Signals**: 10-15 - **Best Sessions**: European/US overlap - **Recommended For**: Most traders #### High Frequency Mode - **Average Win Rate**: 73-77% - **Daily Signals**: 18-25 - **Best Sessions**: High volatility periods - **Recommended For**: Active scalpers #### Premium Quality Mode - **Average Win Rate**: 83-87% - **Daily Signals**: 6-10 - **Best Sessions**: Trending market conditions - **Recommended For**: Conservative traders ## ⚠️ Risk Warnings ### Important Disclaimers - **High-Risk Trading**: Event contracts involve significant risk of loss - **Market Volatility**: Cryptocurrency markets are highly volatile and unpredictable - **No Guarantee**: Past performance does not guarantee future results - **Capital Risk**: Only trade with funds you can afford to lose completely ### Risk Management Guidelines - **Position Sizing**: Never risk more than 1-2% per trade - **Daily Limits**: Set maximum daily loss limits - **Emotional Control**: Avoid revenge trading after losses - **Market Conditions**: Adjust exposure based on volatility - **Continuous Monitoring**: Regularly assess indicator performance ## 🔄 Version History ### V1.0 (December 21, 2024) - Initial English release - Complete translation from Chinese version - Optimized for international users - Enhanced documentation with detailed explanations - Maintained all original functionality and performance characteristics ## 🛠️ Technical Specifications ### Pine Script Details - **Version**: Pine Script v6 - **Type**: Indicator with overlay=true - **Max Objects**: 500 boxes, 500 labels - **Memory Optimization**: Efficient array and map usage - **Performance**: Optimized for real-time execution ### System Requirements - **Platform**: TradingView Pro, Pro+, or Premium - **Browser**: Modern browser with JavaScript enabled - **Connection**: Stable internet for real-time data - **Display**: Minimum 1080p resolution recommended ## 📞 Support & Updates ### Getting Help - **Documentation**: Refer to this comprehensive guide - **Common Issues**: Check parameter settings and timeframe compatibility - **Performance**: Verify market conditions and volatility levels ### Update Policy - **Regular Updates**: Continuous optimization based on market conditions - **Version Tracking**: All changes documented with version numbers - **Backward Compatibility**: Settings preserved across updates --- **Disclaimer**: This indicator is for educational and analysis purposes only. Trading cryptocurrencies and event contracts involves substantial risk. Always conduct your own research and consider your risk tolerance before trading. The authors are not responsible for any trading losses incurred through the use of this indicator.
Indicatore Pine Script®
di OxJohannWu
Pierre's H4 EMA/MA Compression Strategy (BTC)Pierre's logic and trading strategy from the X post and its related threads. The post focuses on Bitcoin (BTC) price action on a 4-hour (H4) chart, using Exponential Moving Averages (EMAs) and Moving Averages (MAs) to identify a potential "EMA/MA compression" scenario, which is a key part of his analysis. Summary of Pierre's Logic Pierre is analyzing Bitcoin's price movement on the H4 timeframe, focusing on a technical pattern he calls "EMA/MA compression." This concept is central to his analysis and involves the interaction of key moving averages (H4 100 MA, H4 200 EMA, and H4 300 MA) to predict price behavior. Here's the breakdown of his logic: EMA/MA Compression Concept: Pierre describes "EMA/MA compression" as a scenario where the price consolidates around key moving averages, leading to a tightening of volatility before a breakout or breakdown. In this case, the H4 100 MA, H4 200 EMA, and H4 300 MA are the critical levels to watch. These moving averages act as dynamic support/resistance levels, and their behavior (break, hold, or flip) dictates the trend direction. He notes that this compression often follows a cycle: EMA/MA compression → Trend → Gap Fills → Repeat. This cycle suggests that after a compression phase, the price tends to trend, fill any price gaps, and then return to another compression phase. Key Levels and Conditions for a Bullish Scenario: H4 100 MA: Must break or flip to the upside. A break above this level signals bullish momentum, while a failure to hold above it (a "flip") invalidates the bullish case. H4 200 EMA: Acts as an "intermediary" level that must hold during pullbacks. If this level holds, it supports the bullish structure. H4 300 MA: A critical support level. It must hold to keep the bullish scenario intact. If the price loses this level (and it flips to resistance), the bullish outlook is invalidated. Pierre mentions that after the price breaks the H4 100 MA, it should aim to fill gaps between 109.5 and 110.5 (likely in thousands, so $109,500–$110,500). If the H4 200 EMA holds, the price might pull back to the H4 300 MA, where it could consolidate further before continuing the trend. Invalidation Scenarios: The bullish scenario is invalidated if: The H4 100 MA is broken and flips to resistance (i.e., price closes below it after initially breaking above). The H4 300 MA is lost and flips to resistance (i.e., price closes below it and fails to reclaim it). Current Market Context: Pierre notes a "nice bounce" in BTC's price, bringing it back into the compression zone. The price is currently fighting a key area on lower timeframes (LTF), likely referring to shorter timeframes like H1 or M15. He mentions that all gaps have been filled for now (referencing the cycle of gap fills), which aligns with his expectation of reduced volatility as the price enters another compression phase. Historical Context and Consistency: Pierre has been tracking this scenario since the H4 100 MA break, as shared in his group @TheHavenCrypto . He references notes from Monday (likely June 2, 2025, as the post is from June 6), indicating that his analysis has been consistent over the week. In a follow-up post, he reflects on a recent trade where he took partial profits on the bounce but couldn’t fully capitalize on the move due to being on his phone and managing only a fraction of his intended position size near the H4 300 MA (for BTC) and H4 200 EMA (for ETH). Pierre's Trading Strategy Based on the post and its context, Pierre’s trading strategy revolves around the EMA/MA compression framework. Here’s how he approaches trades: Setup Identification: Pierre identifies setups using the H4 timeframe, focusing on the interaction of the H4 100 MA, H4 200 EMA, and H4 300 MA. He looks for a "compression" phase where the price consolidates around these moving averages, signaling a potential breakout or breakdown. In this case, the price breaking the H4 100 MA to the upside was his initial signal for a bullish setup. Entry Points: Pierre likely entered a long position (buy) near the H4 300 MA or H4 200 EMA during the recent bounce, as he mentions taking partial profits on the move. He prefers entering after a pullback to these key levels (e.g., H4 200 EMA or H4 300 MA) as long as they hold as support. For example, in Thread 1 (Post 1930270942871118081), he shares a chart showing a long entry near the H4 300 MA with an upside target near 110,000–111,000. Target Setting: His primary target after the H4 100 MA break is to fill gaps between $109,500 and $110,500. If the price reaches these levels and the H4 200 EMA holds, he expects a potential pullback to the H4 300 MA, followed by another leg up (as part of the trend phase in his cycle). Risk Management: Pierre sets clear invalidation levels: A close below the H4 100 MA after breaking above it. A close below the H4 300 MA with a failure to reclaim it. He takes partial profits on bounces, as seen in his follow-up post where he mentions securing gains but not fully capitalizing on the move due to limited position size. Position Sizing and Execution: Pierre mentions being limited by trading from his phone, which restricted his position size. This suggests he typically scales into trades with a planned size but adjusts based on execution conditions. He also notes going "AFK for the weekend" after taking profits, indicating a disciplined approach to stepping away from the market when not actively monitoring. Cycle-Based Trading: His strategy follows the cycle of EMA/MA compression → Trend → Gap Fills → Repeat. After the gaps are filled, he expects volatility to tighten (another compression phase), which could set up the next trade. Key Takeaways for Traders Focus on Key Levels: Pierre’s strategy hinges on the H4 100 MA, H4 200 EMA, and H4 300 MA. These levels are used to confirm trends, identify entries, and set invalidation points. Patience for Compression: He waits for the price to enter a compression phase (tight consolidation around MAs) before expecting a breakout or breakdown. Gap-Filling as a Target: Pierre uses price gaps (e.g., $109,500–$110,500) as targets, aligning with the market’s tendency to fill these gaps (as noted in the related web result from investing.com about CME gaps). Risk Management: He has clear invalidation rules and takes partial profits to lock in gains while letting the trade play out. Cycle Awareness: His trades are part of a broader cycle (compression → trend → gap fill → repeat), which helps him anticipate market behavior. Additional Context from Related Threads Thread 1 (June 4–June 6): Pierre’s earlier posts (e.g., Post 1930270942871118081) show historical examples of EMA/MA compression leading to trends and gap fills, reinforcing his current analysis. He also shares a chart with a potential upside target of $110,000–$111,000 if the H4 300 MA holds. Thread 2 (June 3): Pierre mentions a Daily (D1) timeframe analysis where the D1 100 MA and D1 200 EMA align with range lows, suggesting a potential "wet dream swing long opportunity" if the price holds these levels. This indicates he’s also considering higher timeframes for confirmation. Thread 3 (May 27): Pierre’s earlier analysis highlights similar concepts (e.g., H4 100 MA break, H4 200 EMA hold), showing consistency in his approach over time. Conclusion Pierre’s logic is rooted in technical analysis, specifically the interaction of moving averages on the H4 timeframe to identify "EMA/MA compression" setups. His strategy involves buying on pullbacks to key support levels (H4 200 EMA, H4 300 MA) after a breakout (H4 100 MA), targeting gap fills ($109,500–$110,500), and managing risk with clear invalidation levels. He follows a cyclical approach to trading, expecting periods of compression, trending, and gap-filling to repeat, which guides his entries, exits, and overall market outlook.
Strategia Pine Script®
di AAAAAA2020
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer --- 1. Purpose of the Indicator The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders: • Save time by avoiding manual cross-referencing of disparate signals. • Reduce decision-making errors that can arise from juggling multiple indicators. • Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position. --- 2. Why a Trader Should Use It • Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually. • Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant. • Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction. • Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases. --- 3. Why These Specific Indicators? This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions: 1. Trend Strength: • ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish). • Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend. • Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness. 2. Momentum: • Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals. • Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum. • MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum. 3. Price Action: • Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score. • Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish. • Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation. 4. Market Activity: • Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility. • Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm. • Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings. • Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction. By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone. --- 4. What Makes This Indicator Stand Out • Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity. • Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized. • Stability Mechanisms: • Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes. • Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw. • Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2. --- 5. Recommended Timeframes • Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws. • Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well. • Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals. Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.” --- 6. How Scoring Works A. Individual Indicator Scores Each sub-indicator is assigned one of three discrete scores: • +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound). • 0 if it is neutral (e.g., RSI between upper and lower bounds). • –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound). Examples of individual score assignments: • ADX/DMI: • +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend) • –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend) • 0 if ADX < adxThreshold (trend strength below threshold) • RSI: • +1 if RSI > RSI_upperBound • –1 if RSI < RSI_lowerBound • 0 otherwise • ATR (as part of Market Activity): • +1 if ATR > (ATR_MA + stdev(ATR)) • –1 if ATR < (ATR_MA – stdev(ATR)) • 0 otherwise Each of the four main categories shares this same +1/0/–1 logic across their sub-components. B. Category Scores Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows: • Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score) • Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score) • Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score) • Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score) Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw. C. Market Activity State and Dynamic Weight Adjustments Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action: 1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1). 2. Bucket into High, Medium, or Low Activity: • High if raw Score ≥ 2 (volatile market). • Low if raw Score ≤ –2 (calm market). • Medium otherwise. 3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label. 4. Set Category Weights: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default). D. Calculating the Net Score 5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %). 6. Determine Current Weights based on the Market Activity State (High/Medium/Low). 7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight). 8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong). 9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise. 10. Apply Hysteresis to the Final Zone: • If the smoothed netScore ≥ +2, the bar is classified as “Bullish.” • If the smoothed netScore ≤ –2, the bar is classified as “Bearish.” • Otherwise, it is “Sideways.” • To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on). E. Thresholds for Zone Classification • BULLISH: netScore ≥ +2 • BEARISH: netScore ≤ –2 • SIDEWAYS: –2 < netScore < +2 --- 7. Role of Volatility (Market Activity State) in Scoring Volatility acts as a dynamic switch that shifts which category carries the most influence: 1. High Activity (Volatile): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1. • The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %. • Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns. 2. Low Activity (Calm): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1. • The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %. • Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move. 3. Medium Activity (Balanced): • Raw Score between –1 and +1 from the four volatility metrics. • Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability. --- 8. Scoring Example (Hypothetical Scenario) • Symbol: Bitcoin on a 1-hour chart. • Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity. • Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Signals: • ADX strong and +DI > –DI → +1 • Fast MA above Slow MA → +1 • Ichimoku Senkou A > Senkou B → +1 → Trend Score = +3 • Momentum Signals: • RSI above upper bound → +1 • MACD histogram positive → +1 • Stochastic %K within neutral zone → 0 → Momentum Score = +2 • Price Action Signals: • Highest High/Lowest Low check yields 0 (close not near extremes) • Heikin-Ashi doji reading is neutral → 0 • Candle range slightly above upper bound but trend is strong, so → +1 → Price Action Score = +1 • Compute Net Score (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 1 × 0.15 = 0.15 • Raw netScore = 1.50 + 0.70 + 0.15 = 2.35 • Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.” Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled). --- 9. Correlation Between Categories The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations: • Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory. • Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias. • Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing. By dynamically recognizing these correlations and adjusting weights, the indicator ensures that: • When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish. • When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals. --- 10. Market Activity State & Its Role (Detailed) The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied: 1. Calculate Four Volatility Sub-Scores: • BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0. • ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0. • KCW: Same logic as ATR but around the KCW mean. • Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0. 2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4. 3. Assign Market Activity State: • High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking). • Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume). • Medium Activity: Raw Score is between –1 and +1 inclusive. 4. Hysteresis for Stability: • If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label. • This prevents the Market Activity State from bouncing around when volatility is on the fence. 5. Set Category Weights Based on Activity State: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). 6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action. 7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.” --- 11. Category Weights: Base vs. Dynamic Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts: • High Volatility Overrides: • Trend jumps from its base (e.g., 40 %) to 50 %. • Momentum jumps from its base (e.g., 30 %) to 35 %. • Price Action is reduced to 15 %. Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own. • Low Volatility Overrides: • Price Action leaps from its base (30 %) to 55 %. • Trend falls to 25 %, Momentum falls to 20 %. Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive. Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases. --- 12. Dominant Category Explained Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely: • Compute each category’s weighted contribution = (raw category score) × (current weight). • Compare the absolute values of those three contributions. • The category with the highest absolute value is flagged as Dominant for that bar. Why It Matters: • Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade. • Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed. • Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves. By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways. --- 13. Oscillator Plot: How to Read It The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features: 1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range. 2. Horizontal Threshold Lines: • +2 Line (Bullish threshold) • 0 Line (Neutral midline) • –2 Line (Bearish threshold) 3. Zone Coloring: • Green Background (Bullish Zone): When netScore ≥ +2. • Red Background (Bearish Zone): When netScore ≤ –2. • Gray Background (Sideways Zone): When –2 < netScore < +2. 4. Dynamic Line Color: • The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue. Interpretation Tips: • Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position. • Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies. • Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum. • Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal. --- 14. Comments and Their Necessity Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples: • “Strong bullish trend” or “Strong bearish trend” for ADX/DMI • “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope • “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI • “MACD histogram positive” or “MACD histogram negative” for MACD Hist • “Price near highs” or “Price near lows” for HH/LL checks • “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring • “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range Additionally, the top-row comment for each category is: • Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.” • Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.” • Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.” • Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.” Reasons for These Comments: • Transparency: Shows exactly how each sub-indicator contributed to its category score. • Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time. • Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds. In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment. --- 15. Real-Life Example (Consolidated) • Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart. • Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on). • Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Sub-Scores: 1. ADX = 25 (above threshold 20) with +DI > –DI → +1. 2. Fast MA (20-period) sits above Slow MA (50-period) → +1. 3. Ichimoku: Senkou A > Senkou B → +1. → Trend Score = +3. • Momentum Sub-Scores: 4. RSI = 75 (above its moving average +1 stdev) → +1. 5. MACD histogram = +0.15 → +1. 6. Stochastic %K = 50 (mid-range) → 0. → Momentum Score = +2. • Price Action Sub-Scores: 7. Price is not within 1 % of the 20-period high/low and slope = positive → 0. 8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1. 9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1. → Price Action Score = +2. • Calculate netScore (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 2 × 0.15 = 0.30 • Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish. • Oscillator & Dashboard Output: • The oscillator line crosses above +2 and turns green. • Dashboard displays: • Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.” • Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.” • Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.” • Market Activity State “High,” Comment = “Volatile Market.” • Weights: Trend 50 %, Momentum 35 %, Price Action 15 %. • Dominant Category: Trend (because 1.50 > 0.70 > 0.30). • Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0. • Final Zone = “BULLISH.” • The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long. --- • . --- Disclaimer This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should: • Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital. • Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis. • Understand that no indicator is foolproof; always be prepared for unexpected market moves. Goodluck -BullByte! ---
Indicatore Pine Script®
di BullByte
2
Parabolic Run Detector (With Weighted Caution)This indicator, Parabolic Run Detector (With Weighted Caution), is designed to help traders identify moments of strong directional movement (I call it a run) in asset prices, especially those that exhibit a parabolic character. It uses a combination of log-scale price slopes, RSI momentum, and Ichimoku cloud structure (via the very useful Tenkan-Kijun "clamp") to evaluate whether a price move has both strength and sustainability. When certain thresholds are met, it marks the beginning of a potential run with a green circle below the price chart, helping traders spot entries early in high-momentum conditions. In addition to identifying the start of a run, the indicator also looks for end-of-run caution signals. These are marked with orange circles, indicating potential exhaustion or overextension. The caution logic doesn’t require all conditions to trigger at once — instead, it uses a weighted scoring system based on RSI extension, slowing price momentum (second derivative), and the widening of the Ichimoku clamp. If these conditions cross a confidence threshold within a set number of bars after a run begins, the caution signal fires. This allows traders to stay alert to reversal or consolidation risks without being prematurely spooked by noise. So, choose to ignore them, but they are there for you to assess. You can fine-tune sensitivity with a set of adjustable parameters, including minimum slope values, RSI reversion awareness (bias weight), clamp thresholds, and spacing between signals. So play around to see what works best for you! For advanced users, the option to toggle between static or dynamically calculated RSI baselines and adapt Ichimoku settings for crypto vs. legacy markets adds another layer of contextual accuracy. Whether you're trading Bitcoin on a 4-hour chart or scanning equities on a daily timeframe, this tool helps bring clarity to trend acceleration and potential fatigue, all while minimizing visual clutter and giving you intuitive visual cues. Let me know what you think.
Indicatore Pine Script®
di Powerslider
CHN BUY SELL with EMA 200Overview This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam. Key Features Colored Candles: Visual momentum indicators based on RSI 7 levels Trend Filtering: EMA 200 confirms overall market direction Signal Cooldown: Prevents over-trading with adjustable waiting periods Clean Interface: Simple BUY/SELL labels without clutter How It Works Candle Coloring System Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum) Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum) Normal Candles: All other market conditions Trading Signals BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears Signal Cooldown After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets. Settings RSI 7 Length: Period for RSI calculation (default: 7) RSI 7 Overbought: Threshold for yellow candles (default: 70) RSI 7 Oversold: Threshold for purple candles (default: 30) EMA Length: Period for trend filter (default: 200) Signal Cooldown: Candles to wait between same signal type (default: 5) How to Use Apply the indicator to your chart Look for yellow or purple colored candles For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears Use appropriate risk management and position sizing Best Practices Works best on timeframes M15 and higher Suitable for Forex, Gold, Crypto, and Stock markets Consider market volatility when setting stop-loss and take-profit levels Use in conjunction with proper risk management strategies Technical Details Overlay: True (plots directly on price chart) Calculation: Based on RSI momentum and EMA trend analysis Signal Logic: Combines momentum exhaustion with trend direction Visual Feedback: Colored candles provide immediate market condition awareness
Indicatore Pine Script®
di CHNTeam
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊 The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends. The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc. Key Features: 1. Customizable Liquidity Sources Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia). Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT). Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity. 2. Lead/Lag Analysis (Forward Projection): Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days. Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity. 3. Rate of Change (RoC) Oscillator: Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator. Why it's useful: Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing. Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum. Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles. This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
Indicatore Pine Script®
di decodejar
1
MVRV-Z For Loop🧠 Overview MVRV-Z For Loop is a trend-following indicator that applies a custom directional for-loop logic to the MVRV Z-score. By evaluating the number of consecutive Z-score improvements or deteriorations over time, it identifies sustained directional pressure in Bitcoin’s on-chain trend — helping traders align with prevailing market strength rather than reacting to single-point extremes. 🧩 Key Features Loop-Based Trend Filter: Applies a running comparison loop to assess whether MVRV-Z has been consistently strengthening or weakening. Directional Scoring System: Each upward movement contributes positively, and each downward movement negatively, producing a cumulative trend score. Z-Scored MVRV: Leverages on-chain valuation via the Market Cap to Realized Cap ratio, normalized using a long-term rolling average and standard deviation. Custom Thresholds: User-defined thresholds for long and short signals based on trend score magnitude. Dynamic Candle Coloring: Visually reinforces trend state with aqua for bullish and red for bearish environments. 🔍 How It Works Z-score Transformation: The MVRV ratio is normalized over a long lookback (default 1050 days), creating a standardized valuation signal. For-Loop Engine: A directional loop compares the current MVRV-Z value to previous values within a defined range (start to end). If today’s value is higher than ma , it adds +1 to the score; otherwise, it subtracts -1. This loop effectively measures momentum consistency rather than magnitude alone. Signal Logic: A Long signal is triggered when the cumulative trend score exceeds the long_threshold. A Short signal is triggered when the score drops below the short_threshold. State Variable (CD): Tracks the market regime (1 = long, -1 = short), updating only when a valid condition is met. 🔁 Use Cases & Applications Trend Confirmation Tool: Helps traders assess whether a directional move has been sustained over time before committing. Momentum Alignment: Filters out short-term noise by scoring consistency in MVRV-Z movement rather than relying on single-bar reversals. Best Suited for BTC: This indicator is specifically built using Bitcoin’s Market Cap and Realized Cap metrics, making it ideal for BTC trend tracking. ✅ Conclusion MVRV-Z For Loop transforms the traditional MVRV Z-score into a trend-following signal using a cumulative scoring approach. It excels in highlighting sustained directional strength and avoids premature entries during valuation whipsaws. This makes it a strong tool for traders looking to stay on the right side of the trend without overreacting to short-term fluctuations. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Indicatore Pine Script®
di CipherDecoded
SD Median MVRV-Z🧠 Overview SD Median MVRV-Z is a trend-following indicator that uses on-chain valuation signals as a supportive filter. It blends the momentum of the MVRV Z-score with a dynamic median-based price structure to provide cleaner, more reliable directional signals. This tool is designed to identify when price and trend align with favorable broader context — not to pinpoint overbought or oversold extremes. 🧩 Key Features Trend-Following Core: Signals are built around directional strength, not reversion. MVRV Z-Score Momentum: Utilizes the statistical momentum of Market Cap vs Realized Cap as a macro trend driver. Rolling Median Filter: Applies a price-based condition to ensure trend signals are not triggered during short-term counter-moves or noise. Threshold Customization: Input controls allow traders to define the strength required to trigger long or short signals. Dynamic Visualization: Candle coloring and filled zones provide instant feedback on current market regime. 🔍 How It Works Trend Signal: The MVRV ratio is normalized via Z-scoring to produce a momentum-like signal based on how far current valuation deviates from its rolling average. Price Filter: A rolling median and standard deviation of price define an upper and lower band. These serve to filter out MVRV-Z signals that occur when price is moving against the perceived direction. Signal Logic: Long signal = MVRV-Z above threshold and price is not in the lower volatility band. Short signal = MVRV-Z below threshold, regardless of price band (more aggressive condition). Directional Engine (CD): Encodes the market regime state (1 for long, -1 for short, 0 for neutral), and drives all visual outputs. 🔁 Use Cases & Applications Momentum Confirmation: Identify when on-chain momentum and price structure both confirm a trend direction. Reduced Whipsawing: Filter out weak or conflicting trend signals that would otherwise lead to false entries. Best Suited for BTC: This indicator is specifically tailored for Bitcoin, using BTC’s Market Cap and Realized Cap data from on-chain sources. ✅ Conclusion SD Median MVRV-Z is a trend-centric tool that ensures directional conviction by requiring agreement between price structure and underlying market momentum. It is not meant to detect tops or bottoms, but instead to help traders participate in sustainable moves with greater confidence. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Indicatore Pine Script®
di CipherDecoded
Smooth BTCSPL [GiudiceQuantico] – Dual Smoothed MAsSmooth BTCSPL – Dual Smoothed MAs What it measures • % of Bitcoin addresses in profit vs loss (on-chain tickers). • Spread = profit % − loss % → quick aggregate-sentiment gauge. • Optional alpha-decay normalisation ⇒ keeps the curve on a 0-1 scale across cycles. User inputs • Use Alpha-Decay Adjusted Input (true/false). • Fast MA – type (SMA / EMA / WMA / VWMA) & length (default 100). • Slow MA – type & length (default 200). • Colours – Bullish (#00ffbb) / Bearish (magenta). Computation flow 1. Fetch daily on-chain series. 2. Build raw spread. 3. If alpha-decay enabled: alpha = (rawSpread − 140-week rolling min) / (1 − rolling min). 4. Smooth chosen base with Fast & Slow MAs. 5. Bullish when Fast > Slow, bearish otherwise. 6. Bars tinted with the same bull/bear colour. How to read • Fast crosses above Slow → rising “addresses-in-profit” momentum → bullish bias. • Fast crosses below Slow → stress / capitulation risk. • Price-indicator divergences can flag exhaustion or hidden accumulation. Tips • Keep in a separate pane (overlay = false); bar-colouring still shows on price chart. • Shorter lengths for swing trades, longer for macro outlook. • Combine with funding rates, NUPL or simple price-MA crossovers for confirmation.
Indicatore Pine Script®
di GuidiceQuantico
Sveezy BTC Level SyncThis indicator lets you define up to 5 key Bitcoin price levels (support or resistance zones). Whenever BTC “touches” (crosses up) one of those levels on your chosen exchange, the script records the exact bar, then on any non-BTC chart it draws a dashed horizontal line at that asset’s price at the same moment in time. You can optionally display a plain-text BTC-level label, right-justified a configurable number of bars to the right of each line. Features: - 5 user-defined BTC levels via separate inputs - Time-synced across symbols: marks altcoin price on the exact bar BTC hit the level - Most recent touch only: lines update when BTC crosses the same level again - Right-justified labels: plain text (no box) showing the BTC level, offset by bars & ticks - Lightweight: uses only built-in line and label primitives, no heavy loops How to Use: - Open any altcoin chart (ETH, SOL, your token). - Add the indicator from Pine Editor (paste and save). - Enter your BTC symbol and up to 5 levels. - Enable labels if desired; adjust offsets. - Watch dashed lines plot at your alt’s price every time BTC crosses a level. Ideal For: - Pair traders who want to sync entries/exits to BTC key levels - Arbitrageurs scanning multiple alt charts for BTC-driven swings - Anyone wishing to visualize how alts responded at specific BTC prices Feel free to fork and customize further (cross-down detection, color schemes, multi-timeframe support). If you find it helpful, drop a comment or upvote!
Indicatore Pine Script®
di Sveezy
Normalized DXY+Custom USD Index (DXY+) – Normalized Dollar Strength with Bitcoin, Gold, and Yuan. This custom USD strength index replicates the structure of the official U.S. Dollar Index (DXY), while expanding it to include modern financial assets such as Bitcoin (BTC), Ethereum (ETH), gold (XAU), and the Chinese yuan (CNY). Weights for the core fiat currencies (EUR, JPY, GBP, CAD, SEK, CHF) follow the official ICE DXY methodology. Additional components are weighted proportionally based on their estimated global economic influence. The index is normalized from its initial valid data point, meaning it starts at 100 on the first day all asset inputs are available. From that point forward, it tracks the relative strength of the U.S. dollar against this expanded basket. This provides a more comprehensive and modernized view of the dollar's strength—not only against traditional fiat currencies, but also in the context of rising decentralized assets and non-Western trade power.
Indicatore Pine Script®
di travisryno
Custom USD IndexThis is a modernized, expanded version of the U.S. Dollar Index (DXY), designed to provide a more accurate representation of the dollar’s global strength in today’s diversified economy. Unlike the traditional DXY, which excludes major players like China and entirely omits real-world stores of value, this custom index (DXY+) includes: Fiat Currencies (78.3% total weight): EUR, JPY, GBP, CAD, AUD, CHF, and CNY — equally weighted to reflect the global currency landscape. Gold (17.5%): Gold (XAUUSD) is included as a traditional reserve asset and inflation hedge, acknowledging its continued monetary relevance. Cryptocurrencies (2.8% total weight): Bitcoin (BTC) and Ethereum (ETH) represent the emerging digital monetary layer. The index rises when the U.S. dollar strengthens relative to this blended basket, and falls when the dollar weakens against it. This is ideal for traders, economists, and macro analysts seeking a more inclusive and up-to-date measure of dollar performance.
Indicatore Pine Script®
di travisryno
BTC_News_2025Library "BTC_News_2025" This library contains the tooltips used in the script "Bitcoin History Events (BTC Story)" V1 News from January to May tt_020125() tt_070125() tt_200125() tt_270125() tt_300125() tt_030225() tt_260225() tt_240225() tt_020325() tt_030325() tt_090325() tt_110325() tt_190325() tt_280325() tt_310325() tt_020425() tt_060425() tt_090425() tt_150425() tt_190425() tt_220425() tt_050525() tt_080525() tt_130525() tt_200525() tt_220525()
Libreria Pine Script®
di LucasVivien
Big Mover Catcher BTC 4h🧠 Big Mover Catcher (BTC 4H Strategy) — Educational Tool ⚠️ Disclaimer: I am not a financial advisor. This script is for educational and testing purposes only. Cryptocurrency trading is highly volatile and involves significant risk. You can lose all of your invested capital. 📌 Overview The Big Mover Catcher strategy is a work-in-progress trading system designed for Bitcoin (BTC) on the 4-hour chart. It aims to identify strong breakout moves by combining multiple technical indicators and conditions, allowing for high customization and filter-based confirmations. This script is part of a personal project to learn Pine Script and backtesting on TradingView. It is currently in the testing and research phase. 🎯 Strategy Objective Catch large, high-momentum breakout moves in the BTC market using: Bollinger Band breakouts for entry signals Momentum, volatility, and trend filters for trade confirmation 🧰 Features & Filters The script provides a flexible set of filters that can be turned ON/OFF and adjusted directly from the settings panel: ✅ Entry Conditions Price must break above or below Bollinger Bands All selected filters must align before entry 🧪 Available Filters: Relative Strength Index (RSI) with EMA/SMA smoothing Average Directional Index (ADX) with EMA/SMA smoothing Average True Range (ATR) with EMA/SMA smoothing MACD Signal above or below zero EMA 350 trend filter ATR / ADX / RSI Threshold toggles for added control 🔥 Additional Feature: Force Take Profit: Optionally closes the trade immediately if a candle closes with more than a defined % movement (default: 5%). This can help lock in quick profits during high volatility moves. ⚙️ Customizable Inputs You can configure: Stop loss percentage All indicator lengths Smoothing types (EMA/SMA) Threshold activation toggles Individual filter ON/OFF switches This makes the strategy highly adaptable for educational exploration and optimization. 📊 Best Used For Learning Pine Script and strategy structure Testing filter combinations for BTC on the 4H timeframe Understanding how different indicators interact in live markets ⚠️ Note: ❌ Short trades are currently disabled by default, as short-side logic is still under development. ❗ Final Reminder This script is not financial advice. It is an educational tool. Use it to learn and explore trading logic. Trading cryptocurrencies carries high risk — only invest what you can afford to lose.
Strategia Pine Script®
di noobztrader101
Enhanced BTC Order Block IndicatorThe script you provided is an "Enhanced BTC Order Block Indicator" written in Pine Script v5 for TradingView. It is designed to identify and visually mark Order Blocks (OBs) on a Bitcoin (BTC) price chart, specifically tailored for a high-frequency scalping strategy on the 5-minute (M5) timeframe. Order Blocks are key price zones where institutional traders are likely to have placed significant buy or sell orders, making them high-probability areas for reversals or continuations. The script incorporates customizable filters, visual indicators, and alert functionality to assist traders in executing the strategy outlined earlier. Key Features and Functionality Purpose: The indicator detects bullish Order Blocks (buy zones) and bearish Order Blocks (sell zones) based on a predefined percentage price movement (default 0.5–1%) and volume confirmation. It marks these zones on the chart with colored boxes and provides alerts when an OB is detected. User-Configurable Inputs: Price Move Range: minMovePercent (default 0.5%) and maxMovePercent (default 1.0%) define the acceptable price movement range for identifying OBs. Volume Threshold: volumeThreshold (default 1.5x average volume) ensures OB detection is backed by significant trading activity. Lookback Period: lookback (default 10 candles) determines how many previous candles are analyzed to find the last candle before a strong move. Wick/Body Option: useWick (default false) allows users to choose whether the OB zone is based on the candle’s wick or body. Colors: bullishOBColor (default green) and bearishOBColor (default red) set the visual appearance of OB boxes. Box Extension: boxExtension (default 100 bars) controls how far the OB box extends to the right on the chart. RSI Filter: useRSI (default true) enables an RSI filter, with rsiLength (default 14), rsiBullishThreshold (default 50), and rsiBearishThreshold (default 50) for trend confirmation. M15 Support/Resistance: useSR (default true) and srLookback (default 20) integrate M15 timeframe swing highs and lows for additional OB validation. Core Logic: Bullish OB Detection: Identifies a strong upward move (0.5–1%) with volume above the threshold. It then looks back to the last bearish candle before the move to define the OB zone. RSI > 50 and proximity to M15 support/resistance (optional) enhance confirmation. Bearish OB Detection: Identifies a strong downward move (0.5–1%) with volume confirmation, tracing back to the last bullish candle. RSI < 50 and M15 resistance proximity (optional) add validation. The OB zone is drawn as a rectangle from the high to low of the identified candle, extended rightward. Visual Output: Boxes: Uses box.new to draw OB zones, with left set to the previous bar (bar_index ), right extended by boxExtension, top and bottom defined by the OB’s high and low prices. Each box includes a text label ("Bullish OB" or "Bearish OB") and is semi-transparent. Colors distinguish between bullish (green) and bearish (red) OBs. Alerts: Global alertcondition definitions trigger notifications for "Bullish OB Detected" and "Bearish OB Detected" when the respective conditions are met, displaying the current close price in the message. Helper Functions: f_priceChangePercent: Calculates the percentage price change between open and close prices. isNearSR: Checks if the price is within 0.2% of M15 swing highs or lows for support/resistance confluence. How It Works The script runs on each candle, evaluating the current price action against the user-defined criteria. When a bullish or bearish move is detected (meeting the percentage, volume, RSI, and S/R conditions), it identifies the preceding candle to define the OB zone. The OB is then visualized on the chart, and an alert is triggered if configured in TradingView. Use Case This indicator is tailored for your BTC scalping strategy, where trades last 1–15 minutes targeting 0.3–0.5% gains. It helps traders spot institutional order zones on the M5 chart, confirmed by secondary M1 analysis, and integrates with your use of EMAs, RSI, and volume. The customizable settings allow adaptation to varying market conditions or personal preferences. Limitations The M15 S/R detection is simplified (using swing highs/lows), which may not always align perfectly with manual support/resistance levels. Alerts depend on TradingView’s alert system and require manual setup. Performance may vary with high volatility or low-volume periods, necessitating parameter adjustments.
Indicatore Pine Script®
di RUmbro16
1
DXY Monthly Return (+3M Lead)This indicator calculates the rolling monthly return (based on 21 trading days) for the U.S. Dollar Index (DXY), applying a +3-month forward shift (lead) to the series. It is designed to help visualize the leading effect of USD strength or weakness on other macro-sensitive assets — particularly Bitcoin and crypto markets, which often react to changes in global dollar liquidity with a lag of approximately 10 weeks. Note: This script does not invert the values directly. To match the inverted Y-axis visual used by Steno Research — where negative USD returns are displayed at the top — simply right-click the Y-axis in the chart panel and select “Invert Scale.” 💡 Use this tool for macro trend analysis, early crypto signal generation, or studying inverse correlations between USD and risk assets. Source logic: Steno Research, Bloomberg, Macrobond.
Indicatore Pine Script®
di tiagostrdvw
MVRV | Lyro RS📊 MVRV | Lyro RS is a powerful on-chain valuation tool designed to assess the relative market positioning of Bitcoin (BTC) or Ethereum (ETH) based on the Market Value to Realized Value (MVRV) ratio. It highlights potential undervaluation or overvaluation zones, helping traders and investors anticipate cyclical tops and bottoms. ✨ Key Features : 🔁 Dual Asset Support: Analyze either BTC or ETH with a single toggle. 📐 Dynamic MVRV Thresholds: Automatically calculates median-based bands at 50%, 64%, 125%, and 170%. 📊 Median Calculation: Period-based median MVRV for long-term trend context. 💡 Optional Smoothing: Use SMA to smooth MVRV for cleaner analysis. 🎯 Visual Threshold Alerts: Background and bar colors change based on MVRV position relative to thresholds. ⚠️ Built-in Alerts: Get notified when MVRV enters under- or overvalued territory. 📈 How It Works : 💰 MVRV Calculation: Uses data from IntoTheBlock and CoinMetrics to obtain real-time MVRV values. 🧠 Threshold Bands: Median MVRV is used as a baseline. Ratios like 50%, 64%, 125%, and 170% signal various levels of market extremes. 🎨 Visual Zones: Green zones for undervaluation and red zones for overvaluation, providing intuitive visual cues. 🛠️ Custom Highlights: Toggle individual threshold zones on/off for a cleaner view. ⚙️ Customization Options : 🔄 Switch between BTC or ETH for analysis. 📏 Adjust period length for median MVRV calculation. 🔧 Enable/disable threshold visibility (50%, 64%, 125%, 170%). 📉 Toggle smoothing to reduce noise in volatile markets. 📌 Use Cases : 🟢 Identify undervalued zones for long-term entry opportunities. 🔴 Spot potential overvaluation zones that may precede corrections. 🧭 Use in confluence with price action or macro indicators for better timing. ⚠️ Disclaimer : This indicator is for educational purposes only. It should not be used in isolation for making trading or investment decisions. Always combine with price action, fundamentals, and proper risk management.
Indicatore Pine Script®
di LyroRS
Simplified STH-MVRV + Z-ScoreSimplified Short Term Holder MVRV (STH-MVRV) + Z-Score Indicator Description: This indicator visualizes the Short Term Holder Market Value to Realized Value ratio (STH-MVRV) and its normalized Z-Score, providing insight into Bitcoin’s market cycle phases and potential overbought or oversold conditions. How it works: The STH-MVRV ratio compares the market value of coins held by short-term holders to their realized value, helping to identify periods of profit-taking or accumulation by these holders. The indicator calculates three versions: STH-MVRV (MVRV): Ratio of current MVRV to its 155-day SMA. STH-MVRV (Price): Ratio of BTC price to its 155-day SMA. STH-MVRV (AVG): Average of the above two ratios. You can select which ratio to display via the input dropdown. Threshold Lines: Adjustable upper and lower threshold lines mark significant levels where market sentiment might shift. The indicator also plots a baseline at 1.0 as a reference. Z-Score Explanation: The Z-Score is a normalized value scaled between -3 and +3, calculated relative to the chosen threshold levels. When the ratio hits the upper threshold, the Z-Score approaches +2, indicating potential overbought conditions. Conversely, reaching the lower threshold corresponds to a Z-Score near -2, signaling potential oversold conditions. This Z-Score is shown in a clear table in the top right corner of the chart for easy monitoring. Data Sources: MVRV data is fetched from the BTC_MVRV dataset. Price data is sourced from the BTC/USD index. Usage: Use this indicator to assess short-term holder market behavior and to help identify buying or selling opportunities based on extremes indicated by the Z-Score. Combining this tool with other analysis can improve timing decisions in Bitcoin trading.
Indicatore Pine Script®
di simonweisser_business
PORTFOLIO TABLE Full [Titans_Invest]PORTFOLIO TABLE Full This is a complete table for monitoring your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or app. ⯁ HOW TO USE THIS TABLE❓ Simply select the asset and enter the amount you hold. The table will display the value of each asset and the total value of your portfolio. You can monitor up to 19 assets in real time. ⯁ CONVERT VALUES You can also enable and select a currency for conversion. For example, cryptocurrencies are calculated in US dollars by default, but you can choose euros as the conversion currency. The values originally in dollars will then be displayed in euros. ⯁ TRACK THE DAILY VARIATION OF YOUR PORTFOLIO You’ll be able to monitor your portfolio’s raw daily variation in real time. 🔶 Track your Portfolio in real time: 🔶 Add your local Currency to Convert Values: 🔶 Follow your Portfolio Live: ___________________________________________________________ 📜 SCRIPT : PORTFOLIO TABLE Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ___________________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Indicatore Pine Script®
di Titans_Invest
Enhanced Volume Trend Indicator with BB SqueezeEnhanced Volume Trend Indicator with BB Squeeze: Comprehensive Explanation The visualization system allows traders to quickly scan multiple securities to identify high-probability setups without detailed analysis of each chart. The progression from squeeze to breakout, supported by volume trend confirmation, offers a systematic approach to identifying trading opportunities. The script combines multiple technical analysis approaches into a comprehensive dashboard that helps traders make informed decisions by identifying high-probability setups while filtering out noise through its sophisticated confirmation requirements. It combines multiple technical analysis approaches into an integrated visual system that helps traders identify potential trading opportunities while filtering out false signals. Core Features 1. Volume Analysis Dashboard The indicator displays various volume-related metrics in customizable tables: AVOL (After Hours + Pre-Market Volume): Shows extended hours volume as a percentage of the 21-day average volume with color coding for buying/selling pressure. Green indicates buying pressure and red indicates selling pressure. Volume Metrics: Includes regular volume (VOL), dollar volume ($VOL), relative volume compared to 21-day average (RVOL), and relative volume compared to 90-day average (RVOL90D). Pre-Market Data: Optional display of pre-market volume (PVOL), pre-market dollar volume (P$VOL), pre-market relative volume (PRVOL), and pre-market price change percentage (PCHG%). 2. Enhanced Volume Trend (VTR) Analysis The Volume Trend indicator uses adaptive analysis to evaluate buying and selling pressure, combining multiple factors: MACD (Moving Average Convergence Divergence) components Volume-to-SMA (Simple Moving Average) ratio Price direction and market conditions Volume change rates and momentum EMA (Exponential Moving Average) alignment and crossovers Volatility filtering VTR Visual Indicators The VTR score ranges from 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. This is visually represented by colored circles: "●" (Filled Circle): Green: Strong bullish trend (VTR ≥ 80) Red: Strong bearish trend (VTR ≤ 20) "◯" (Hollow Circle): Green: Moderate bullish trend (VTR 65-79) Red: Moderate bearish trend (VTR 21-35) "·" (Small Dot): Green: Weak bullish trend (VTR 55-64) Red: Weak bearish trend (VTR 36-45) "○" (Medium Hollow Circle): Neutral conditions (VTR 46-54), shown in gray In "Both" display mode, the VTR shows both the numerical score (0-100) alongside the appropriate circle symbol. Enhanced VTR Settings The Enhanced Volume Trend component offers several advanced customization options: Adaptive Volume Analysis (volTrendAdaptive): When enabled, dynamically adjusts volume thresholds based on recent market volatility Higher volatility periods require proportionally higher volume to generate significant signals Helps prevent false signals during highly volatile markets Keep enabled for most trading conditions, especially in volatile markets Speed of Change Weight (volTrendSpeedWeight, range 0-1): Controls emphasis on volume acceleration/deceleration rather than absolute levels Higher values (0.7-1.0): More responsive to new volume trends, better for momentum trading Lower values (0.2-0.5): Less responsive, better for trend following Helps identify early volume trends before they fully develop Momentum Period (volTrendMomentumPeriod, range 2-10): Defines lookback period for volume change rate calculations Lower values (2-3): More responsive to recent changes, better for short timeframes Higher values (7-10): Smoother, better for daily/weekly charts Directly affects how quickly the indicator responds to new volume patterns Volatility Filter (volTrendVolatilityFilter): Adjusts significance of volume by factoring in current price volatility High volume during high volatility receives less weight High volume during low volatility receives more weight Helps distinguish between genuine volume-driven moves and volatility-driven moves EMA Alignment Weight (volTrendEmaWeight, range 0-1): Controls importance of EMA alignments in final VTR calculation Analyzes multiple EMA relationships (5, 10, 21 period) Higher values (0.7-1.0): Greater emphasis on trend structure Lower values (0.2-0.5): More focus on pure volume patterns Display Mode (volTrendDisplayMode): "Value": Shows only numerical score (0-100) "Strength": Shows only symbolic representation "Both": Shows numerical score and symbol together 3. Bollinger Band Squeeze Detection (SQZ) The BB Squeeze indicator identifies periods of low volatility when Bollinger Bands contract inside Keltner Channels, often preceding significant price movements. SQZ Visual Indicators "●" (Filled Circle): Strong squeeze - high probability setup for an impending breakout Green: Strong squeeze with bullish bias (likely upward breakout) Red: Strong squeeze with bearish bias (likely downward breakout) Orange: Strong squeeze with unclear direction "◯" (Hollow Circle): Moderate squeeze - medium probability setup Green: With bullish EMA alignment Red: With bearish EMA alignment Orange: Without clear directional bias "-" (Dash): Gray dash indicates no squeeze condition (normal volatility) The script identifies squeeze conditions through multiple methods: Bollinger Bands contracting inside Keltner Channels BB width falling to bottom 20% of recent range (BB width percentile) Very narrow Keltner Channel (less than 5% of basis price) Tracking squeeze duration in consecutive bars Different squeeze strengths are detected: Strong Squeeze: BB inside KC with tight BB width and narrow KC Moderate Squeeze: BB inside KC with either tight BB width or narrow KC No Squeeze: Normal market conditions 4. Breakout Detection System The script includes two breakout indicators working in sequence: 4.1 Pre-Breakout (PBK) Indicator Detects potential upcoming breakouts by analyzing multiple factors: Squeeze conditions lasting 2-3 bars or more Significant price ranges Strong volume confirmation EMA/MACD crossovers Consistent price direction PBK Visual Indicators "●" (Filled Circle): Detected pre-breakout condition Green: Likely upward breakout (bullish) Red: Likely downward breakout (bearish) Orange: Direction not yet clear, but breakout likely "-" (Dash): Gray dash indicates no pre-breakout condition The PBK uses sophisticated conditions to reduce false signals including minimum squeeze length, significant price movement, and technical confirmations. 4.2 Breakout (BK) Indicator Confirms actual breakouts in progress by identifying: End of squeeze or strong expansion of Bollinger Bands Volume expansion Price moving outside Bollinger Bands EMA crossovers with volume confirmation MACD crossovers with significant price range BK Visual Indicators "●" (Filled Circle): Confirmed breakout in progress Green: Upward breakout (bullish) Red: Downward breakout (bearish) Orange: Unusual breakout pattern without clear direction "◆" (Diamond): Special breakout conditions (meets some but not all criteria) "-" (Dash): Gray dash indicates no breakout detected The BK indicator uses advanced filters for confirmation: Requires consecutive breakout signals to reduce false positives Strong volume confirmation requirements (40% above average) Significant price movement thresholds Consistency checks between price action and indicators 5. Market Metrics and Analysis Price Change Percentage (CHG%) Displays the current percentage change relative to the previous day's close, color-coded green for positive changes and red for negative changes. Average Daily Range (ADR%) Calculates the average daily percentage range over a specified period (default 20 days), helping traders gauge volatility and set appropriate price targets. Average True Range (ATR) Shows the Average True Range value, a volatility indicator developed by J. Welles Wilder that measures market volatility by decomposing the entire range of an asset price for that period. Relative Strength Index (RSI) Displays the standard 14-period RSI, a momentum oscillator that measures the speed and change of price movements on a scale from 0 to 100. 6. External Market Indicators QQQ Change Shows the percentage change in the Invesco QQQ Trust (tracking the Nasdaq-100 Index), useful for understanding broader tech market trends. UVIX Change Displays the percentage change in UVIX, a volatility index, providing insight into market fear and potential hedging activity. BTC-USD Shows the current Bitcoin price from Coinbase, useful for traders monitoring crypto correlation with equities. Market Breadth (BRD) Calculates the percentage difference between ATHI.US and ATLO.US (high vs. low securities), indicating overall market direction and strength. 7. Session Analysis and Volume Direction Session Detection The script accurately identifies different market sessions: Pre-market: 4:00 AM to 9:30 AM Regular market: 9:30 AM to 4:00 PM After-hours: 4:00 PM to 8:00 PM Closed: Outside trading hours This detection works on any timeframe through careful calculation of current time in seconds. Buy/Sell Volume Direction The script analyzes buying and selling pressure by: Counting up volume when close > open Counting down volume when close < open Tracking accumulated volume within the day Calculating intraday pressure (up volume minus down volume) Enhanced AVOL Calculation The improved AVOL calculation works in all timeframes by: Estimating typical pre-market and after-hours volume percentages Combining yesterday's after-hours with today's pre-market volume Calculating this as a percentage of the 21-day average volume Determining buying/selling pressure by analyzing after-hours and pre-market price changes Color-coding results: green for buying pressure, red for selling pressure This calculation is particularly valuable because it works consistently across any timeframe. Customization Options Display Settings The dashboard has two customizable tables: Volume Table and Metrics Table, with positions selectable as bottom_left or bottom_right. All metrics can be individually toggled on/off: Pre-market data (PVOL, P$VOL, PRVOL, PCHG%) Volume data (AVOL, RVOL Day, RVOL 90D, Volume, SEED_YASHALGO_NSE_BREADTH:VOLUME ) Price metrics (ADR%, ATR, RSI, Price Change%) Market indicators (QQQ, UVIX, Breadth, BTC-USD) Analysis indicators (Volume Trend, BB Squeeze, Pre-Breakout, Breakout) These toggle options allow traders to customize the dashboard to show only the metrics they find most valuable for their trading style. Table and Text Customization The dashboard's appearance can be customized: Table background color via tableBgColor Text color (White or Black) via textColorOption The indicator uses smart formatting for volume and price values, automatically adding appropriate suffixes (K, M, B) for readability. MACD Configuration for VTR The Volume Trend calculation incorporates MACD with customizable parameters: Fast Length: Controls the period for the fast EMA (default 3) Slow Length: Controls the period for the slow EMA (default 9) Signal Length: Controls the period for the signal line EMA (default 5) MACD Weight: Controls how much influence MACD has on the volume trend score (default 0.3) These settings allow traders to fine-tune how momentum is factored into the volume trend analysis. Bollinger Bands and Keltner Channel Settings The Bollinger Bands and Keltner Channels used for squeeze detection have preset (hidden) parameters: BB Length: 20 periods BB Multiplier: 2.0 standard deviations Keltner Length: 20 periods Keltner Multiplier: 1.5 ATR These settings follow standard practice for squeeze detection while maintaining simplicity in the user interface. Practical Trading Applications Complete Trading Strategies 1. Squeeze Breakout Strategy This strategy combines multiple components of the indicator: Wait for a strong squeeze (SQZ showing ●) Look for pre-breakout confirmation (PBK showing ● in green or red) Enter when breakout is confirmed (BK showing ● in same direction) Use VTR to confirm volume supports the move (VTR ≥ 65 for bullish or ≤ 35 for bearish) Set profit targets based on ADR (Average Daily Range) Exit when VTR begins to weaken or changes direction 2. Volume Divergence Strategy This strategy focuses on the volume trend relative to price: Identify when price makes a new high but VTR fails to confirm (divergence) Look for VTR to show weakening trend (● changing to ◯ or ·) Prepare for potential reversal when SQZ begins to form Enter counter-trend position when PBK confirms reversal direction Use external indicators (QQQ, BTC, Breadth) to confirm broader market support 3. Pre-Market Edge Strategy This strategy leverages pre-market data: Monitor AVOL for unusual pre-market activity (significantly above 100%) Check pre-market price change direction (PCHG%) Enter position at market open if VTR confirms direction Use SQZ to determine if volatility is likely to expand Exit based on RVOL declining or price reaching +/- ADR for the day Market Context Integration The indicator provides valuable context for trading decisions: QQQ change shows tech market direction BTC price shows crypto market correlation UVIX change indicates volatility expectations Breadth measurement shows market internals This context helps traders avoid fighting the broader market and align trades with overall market direction. Timeframe Optimization The indicator is designed to work across different timeframes: For day trading: Focus on AVOL, VTR, PBK/BK, and use shorter momentum periods For swing trading: Focus on SQZ duration, VTR strength, and broader market indicators For position trading: Focus on larger VTR trends and use EMA alignment weight Advanced Analytical Components Enhanced Volume Trend Score Calculation The VTR score calculation is sophisticated, with the base score starting at 50 and adjusting for: Price direction (up/down) Volume relative to average (high/normal/low) Volume acceleration/deceleration Market conditions (bull/bear) Additional factors are then applied, including: MACD influence weighted by strength and direction Volume change rate influence (speed) Price/volume divergence effects EMA alignment scores Volatility adjustments Breakout strength factors Price action confirmations The final score is clamped between 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. Anti-False Signal Filters The indicator employs multiple techniques to reduce false signals: Requiring significant price range (minimum percentage movement) Demanding strong volume confirmation (significantly above average) Checking for consistent direction across multiple indicators Requiring prior bar consistency (consecutive bars moving in same direction) Counting consecutive signals to filter out noise These filters help eliminate noise and focus on high-probability setups. MACD Enhancement and Integration The indicator enhances standard MACD analysis: Calculating MACD relative strength compared to recent history Normalizing MACD slope relative to volatility Detecting MACD acceleration for stronger signals Integrating MACD crossovers with other confirmation factors EMA Analysis System The indicator uses a comprehensive EMA analysis system: Calculating multiple EMAs (5, 10, 21 periods) Detecting golden cross (10 EMA crosses above 21 EMA) Detecting death cross (10 EMA crosses below 21 EMA) Assessing price position relative to EMAs Measuring EMA separation percentage Recent Enhancements and Evolution Version 5.2 includes several improvements: Enhanced AVOL to show buying/selling direction through color coding Improved VTR with adaptive analysis based on market conditions AVOL display now works in all timeframes through sophisticated estimation Removed animal symbols and streamlined code with bright colors for better visibility Improved anti-false signal filters throughout the system Optimizing Indicator Settings For Different Market Types Range-Bound Markets: Lower EMA Alignment Weight (0.2-0.4) Higher Speed of Change Weight (0.8-1.0) Focus on SQZ and PBK signals for breakout potential Trending Markets: Higher EMA Alignment Weight (0.7-1.0) Moderate Speed of Change Weight (0.4-0.6) Focus on VTR strength and BK confirmations Volatile Markets: Enable Volatility Filter Enable Adaptive Volume Analysis Lower Momentum Period (2-3) Focus on strong volume confirmation (VTR ≥ 80 or ≤ 20) For Different Asset Classes Equities: Standard settings work well Pay attention to AVOL for gap potential Monitor QQQ correlation Futures: Consider higher Volume/RVOL weight Reduce MACD weight slightly Pay close attention to SQZ duration Crypto: Higher volatility thresholds may be needed Monitor BTC price for correlation Focus on stronger confirmation signals Integrated Visual System for Trading Decisions The colored circle indicators create an intuitive visual system for quick market assessment: Progression Sequence: SQZ (Squeeze) → PBK (Pre-Breakout) → BK (Breakout) This sequence often occurs in order, with the squeeze leading to pre-breakout conditions, followed by an actual breakout. VTR (Volume Trend): Provides context about the volume supporting these movements. Color Coding: Green for bullish conditions, red for bearish conditions, and orange/gray for neutral or undefined conditions.
Indicatore Pine Script®
di tommyttcat