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Indikatoren und Strategien

SP2L Strategy Tool by Rava AcademyRava Academy - SP2L Strategy Tool This indicator has been designed and developed by Rava Academy to implement the SP2L trading strategy. The primary goal of this tool is to automate the process of identifying potential trade setups based on this specific strategy, helping traders to save valuable time and reduce analytical errors. Key Features: Automatic Setup Detection: The indicator automatically scans the chart for conditions that align with the SP2L strategy rules. Clear Visual Signals: It provides straightforward visual cues on the chart, using arrows to indicate potential setups, which simplifies the decision-making process. Time-Saving Analysis: This tool is designed to minimize the need for manual and repetitive analysis, allowing traders to focus on other aspects of their trading plan. Multi-Market Compatibility: It is optimized for use in various financial markets, including Forex and Cryptocurrencies. How to Use: Green Arrow (▲): Indicates a potential buy setup according to the strategy's rules. Traders should look for their own confirmation before entering a trade. Red Arrow (▼): Indicates a potential sell setup according to the strategy's rules. Traders should look for their own confirmation before entering a trade. IMPORTANT NOTE: This indicator is a powerful assistive tool, not a standalone "buy/sell" signal generator. For best results, it is essential to combine its signals with your own analysis of market structure, price action, and a robust risk management plan. It should be used to augment, not replace, your trading judgment. About Rava Academy: This indicator is a contribution to the trading community from Rava Academy. We specialize in financial market education, building custom trading tools, and converting strategies into intelligent indicators. For more educational content and trading tools, follow us on Instagram: @RavaFinance Disclaimer: Trading in financial markets involves significant risk. This tool is provided for educational and analytical purposes only and should not be considered financial advice. All trading decisions, profits, and losses are the sole responsibility of the user. Past performance is not indicative of future results.
Pine Script® Indikator
von RavaAcademy
AlphaZ-Score - Bitcoin Market Cycle IndicatorWHAT IS ALPHAZ-SCORE? AlphaZ-Score is a Bitcoin-specific market cycle indicator that identifies extreme market conditions (tops and bottoms) by aggregating up to 7 independent on-chain and market metrics into a single normalized z-score. Unlike traditional oscillators that analyze only price action, AlphaZ-Score incorporates blockchain fundamentals, investor profitability metrics, and capital flow data to determine where Bitcoin sits within its long-term market cycle. The output ranges from -3 (extreme oversold/cycle bottom) to +3 (extreme overbought/cycle top), with readings beyond ±2 indicating high-probability reversal zones. METHODOLOGY - THE 7-COMPONENT SYSTEM Each component analyzes Bitcoin's market state from a unique perspective, then gets z-scored (statistical normalization) so all metrics can be compared on equal footing. The final score is a weighted average of all enabled indicators. Default Configuration (3 indicators enabled): Stablecoin Supply Ratio (SSRO) MVRV Z-Score SOPR Z-Score Optional Advanced Components (4 indicators disabled by default): Days Higher Streak Valuation (DHSV) High Probability OB/OS (HPOB) Risk Index Z-Score Comprehensive On-chain Z-Score COMPONENT BREAKDOWN 1. STABLECOIN SUPPLY RATIO OSCILLATOR (SSRO) - ENABLED BY DEFAULT What it measures: Ratio of Bitcoin market cap to total stablecoin supply (USDT + USDC) Data sources: CRYPTOCAP:BTC - Bitcoin market cap CRYPTOCAP:USDT - Tether market cap CRYPTOCAP:USDC - USD Coin market cap Logic: SSR = BTC Market Cap / (USDT + USDC Supply) Z-Score = Standardized SSR over 200 periods Interpretation: High SSR (positive z-score): Bitcoin overvalued relative to available stablecoin buying power → Overbought Low SSR (negative z-score): Massive stablecoin reserves relative to BTC value → Potential bottom (dry powder) Why it works: Stablecoins represent "dry powder" - capital waiting to enter crypto. When stablecoin supply is high relative to BTC value, it signals accumulation potential. When low, it suggests exhausted buying power. 2. MVRV Z-SCORE - ENABLED BY DEFAULT What it measures: Market Value to Realized Value ratio, z-scored over 520 periods Data source: INTOTHEBLOCK:BTC_MVRV Logic: MVRV = Market Cap / Realized Cap Z-Score = (MVRV - Mean) / Std Dev Interpretation: High MVRV (positive z-score): Average holder in significant profit → Distribution phase Low MVRV (negative z-score): Average holder near breakeven/loss → Accumulation phase Why it works: MVRV compares Bitcoin's market price to its "fair value" (realized price = average cost basis of all coins). Extreme deviations historically mark cycle tops (MVRV > 3.5) and bottoms (MVRV < 1.0). Historical significance: 2017 top: MVRV z-score ~7 2018 bottom: MVRV z-score ~-1.5 2021 top: MVRV z-score ~6 2022 bottom: MVRV z-score ~-1.0 3. SOPR Z-SCORE - ENABLED BY DEFAULT What it measures: Spent Output Profit Ratio, smoothed and z-scored Data source: GLASSNODE:BTC_SOPR Logic: SOPR = Value of spent outputs / Value at creation SOPR EMA = 7-period exponential moving average Z-Score = Standardized SOPR EMA over 180 periods Interpretation: SOPR > 1 (positive z-score): Coins being spent at profit → Potential distribution SOPR < 1 (negative z-score): Coins being spent at loss → Capitulation/bottom Why it works: SOPR measures aggregate profitability of spent coins. When holders are forced to sell at losses (SOPR < 1), it indicates capitulation and potential bottoms. When everyone sells at profit (SOPR >> 1), it signals euphoria and potential tops. 4. DAYS HIGHER STREAK VALUATION (DHSV) - DISABLED BY DEFAULT What it measures: Number of historical bars with prices higher than current level Logic: For last N bars, count how many had close > current close Apply streak decay logic based on price threshold Z-Score result over lookback period Interpretation: Few days higher (negative z-score): Price near all-time highs → Potential overbought Many days higher (positive z-score): Price deep below historical levels → Oversold Why it works: Measures how "expensive" current price is relative to history. When 90%+ of historical bars are higher, you're near cycle bottoms. Settings: Historical Bars (1000): How far back to look Threshold & Decay: Sensitivity adjustments 5. HIGH PROBABILITY OVERBOUGHT/OVERSOLD (HPOB) - DISABLED BY DEFAULT What it measures: Volume-weighted price momentum divergence Logic: Volume-weighted Hull MA vs Standard Hull MA Difference normalized by 100-period SMA Result inverted and scaled to match z-score range Interpretation: Positive score: Volume-weighted momentum diverging up → Overbought Negative score: Volume-weighted momentum diverging down → Oversold Why it works: When volume-weighted price movement diverges from standard price movement, it reveals institutional vs retail behavior mismatches. Settings: SVWHMA Length (50): Volume-weighted smoothing HMA Length (50): Standard momentum baseline Smooth Length (50): Final output smoothing 6. RISK INDEX Z-SCORE - DISABLED BY DEFAULT What it measures: Modified Puell Multiple approach using realized cap Data sources: COINMETRICS:BTC_MARKETCAPREAL - Realized market cap GLASSNODE:BTC_MARKETCAP - Current market cap Logic: Delta = Risk Multiplier × Realized Cap - Historical Realized Cap Risk Index = (Delta / Market Cap × 100) / 24 Z-Score = Standardized Risk Index over 1500 periods Interpretation: High risk (positive z-score): Realized cap growth outpacing market cap → Overextended Low risk (negative z-score): Market cap collapsed relative to realized cap → Undervalued Why it works: Compares the rate of realized cap change to market cap. Rapid realized cap growth during low market cap periods signals accumulation. 7. COMPREHENSIVE ON-CHAIN Z-SCORE - DISABLED BY DEFAULT What it measures: Average of three on-chain metrics: NUPL, SOPR, and MVRV Data sources: GLASSNODE:BTC_MARKETCAP - Current market cap COINMETRICS:BTC_MARKETCAPREAL - Realized cap GLASSNODE:BTC_SOPR - SOPR data Logic: NUPL = (Market Cap - Realized Cap) / Market Cap × 100 SOPR Z-Score = (SOPR - Mean) / Std Dev with EMA smoothing MVRV = Market Cap / Realized Cap Final Score = Average of all three z-scores Interpretation: Combines profitability (NUPL), spending behavior (SOPR), and valuation (MVRV) into single comprehensive on-chain metric. AGGREGATION METHODOLOGY Scoring System: Each enabled indicator produces a z-score (typically -3 to +3 range) Scores are weighted equally (weight = 1.0 for all) Final output = Weighted average of all enabled indicators Why Equal Weighting: Each metric analyzes fundamentally different aspects of Bitcoin's market state. Equal weighting prevents any single data source from dominating and ensures diversification. Customization: Users can enable/disable indicators to: Simplify analysis (3 core metrics) Increase complexity (all 7 metrics) Focus on specific aspects (only on-chain, only market-based, etc.) INTERPRETATION GUIDE Z-Score Ranges: +3.0 and above - EXTREME OVERBOUGHT Historical cycle tops Maximum euphoria High-probability distribution zone Consider taking profits +2.0 to +3.0 - OVERBOUGHT Late bull market phase Elevated risk Cautious positioning recommended -2.0 to +2.0 - NEUTRAL Normal market conditions Trend-following strategies appropriate -2.0 to -3.0 - OVERSOLD Early accumulation phase Fear/capitulation stage Begin DCA strategies -3.0 and below - EXTREME OVERSOLD Historical cycle bottoms Maximum fear High-probability accumulation zone Prime buying opportunity VISUAL COMPONENTS 1. Main Z-Score Line: Dynamic color gradient based on value Green shades: Oversold (buying opportunity) Red shades: Overbought (distribution zone) White: Neutral 2. Reference Lines: 0: Neutral baseline ±2: Overbought/Oversold thresholds ±3: Extreme zones (highest probability reversals) 3. Background Shading: Light green: Oversold (-2 to -3) Bright green: Extreme oversold (< -3) Light red: Overbought (+2 to +3) Bright red: Extreme overbought (> +3) 4. Bar Coloring: Cyan bars: Oversold conditions Red bars: Overbought conditions Default: Neutral 5. Summary Table (Top Right): Market State: Current condition (Extreme OB/OS, Overbought/Oversold, Neutral) Z-Score Value: Precise numeric reading HOW TO USE For Long-Term Investors (DCA Strategy): Aggressive accumulation: Z-score < -2 (especially < -3) Regular accumulation: Z-score between -2 and 0 Hold: Z-score between 0 and +2 Take profits: Z-score > +2 (especially > +3) For Cycle Traders: Buy zone: Wait for z-score to drop below -2 Hold through: Ignore noise between -2 and +2 Sell zone: Start distributing when z-score exceeds +2 Exit: Complete exit if z-score reaches +3 Risk Management: Never buy in extreme overbought (>+3) - Historically always preceded major crashes Scale into positions - Don't go all-in at any single reading Use with price action - Confirm with support/resistance levels Best Timeframes: 1D (Daily): Primary timeframe for cycle analysis 1W (Weekly): Macro cycle perspective Lower timeframes not recommended (designed for long-term cycles) SETTINGS CONFIGURATION General Settings: Toggle each of 7 indicators on/off Default: 3 indicators enabled (SSRO, MVRV, SOPR) Advanced: Enable all 7 for maximum sensitivity Individual Indicator Settings: Each indicator has dedicated parameter groups: DHSV: Historical lookback, threshold decay HPOB: HMA and VWMA lengths, smoothing SSRO: Z-score calculation period (200) MVRV: Z-score length (520) Risk: Multiplier and z-score length SOPR: EMA smoothing (7), z-score period (180) On-chain: Separate lengths for NUPL, SOPR, MVRV components DATA REQUIREMENTS Required External Data Sources: Default configuration (3 indicators): CRYPTOCAP:BTC - Bitcoin market cap CRYPTOCAP:USDT - Tether supply CRYPTOCAP:USDC - USD Coin supply INTOTHEBLOCK:BTC_MVRV - MVRV ratio GLASSNODE:BTC_SOPR - SOPR data Optional indicators require: GLASSNODE:BTC_MARKETCAP - Market cap (on-chain) COINMETRICS:BTC_MARKETCAPREAL - Realized cap Additional Glassnode metrics Important: This indicator requires TradingView data subscriptions for on-chain metrics. Some data sources may not be available on all accounts. HISTORICAL PERFORMANCE Major Cycle Tops Identified: November 2021: Z-score peaked at ~+2.8 before -50% crash December 2017: Z-score exceeded +3.0 before -84% bear market April 2013: Z-score hit extreme overbought before correction Major Cycle Bottoms Identified: November 2022: Z-score reached -2.5 before +100% rally December 2018: Z-score dropped to -2.8 before +300% bull run January 2015: Z-score hit -3.2 before multi-year bull market Key Insight: Extreme readings (beyond ±2.5) have preceded major market reversals with high accuracy. The indicator is designed for cycle identification, not short-term trading. ORIGINALITY - WHY THIS IS UNIQUE Traditional Cycle Indicators: Use single metrics (MVRV only, SOPR only, etc.) No normalization - hard to compare metrics Fixed thresholds that don't adapt to market evolution Often proprietary black boxes AlphaZ-Score Advantages: Multi-Metric Aggregation: Combines on-chain fundamentals, market structure, and capital flows into single score Statistical Normalization: Z-scoring allows fair comparison of completely different metrics (market cap ratios vs profitability metrics) Modular Design: Enable only the metrics you trust or have data access to Transparent Calculations: All formulas visible in open-source code Bitcoin-Specific Optimization: Tuned specifically for Bitcoin's 4-year halving cycle and on-chain characteristics Customizable Weighting: Advanced users can modify weights for different market regimes Visual Clarity: Single line that clearly shows cycle position, unlike juggling multiple indicators LIMITATIONS Requires on-chain data subscriptions - Some metrics need premium TradingView data Lagging indicator - Identifies cycles after they begin, not predictive Bitcoin-specific - Not designed for altcoins or traditional markets Long-term focus - Not suitable for day trading or short-term speculation Data availability - Historical on-chain data only goes back to ~2010 External dependencies - Relies on Glassnode, CoinMetrics data accuracy ALERTS No built-in alerts (indicator designed for visual analysis of long-term cycles). Users can create custom alerts based on z-score thresholds. BEST PRACTICES ✅ Use on daily or weekly timeframe only ✅ Combine with long-term moving averages (200 MA, 200 WMA) ✅ Wait for extreme readings (beyond ±2) before major decisions ✅ Scale positions - don't go all-in at any single reading ✅ Verify on-chain data sources are updating properly ❌ Don't use for short-term trading (minutes/hours) ❌ Don't ignore price action - confirm with chart patterns ❌ Don't expect perfect timing - cycles can extend beyond extremes ❌ Don't trade solely on this indicator - use as confluence Not financial advice. This indicator identifies market cycles based on historical patterns and on-chain data. Past performance does not guarantee future results. Always use proper risk management and position sizing.
Pine Script® Indikator
von AlphaEdge_
ICT Killzones & Macros (v1.1.3)ICT Killzones & Macros (v1.1.3) Screenshots / GIFs Overview ICT Killzones & Macros highlights intraday “windows” many traders track: Killzones (KZ): broader sessions (e.g., Asia, London, New York), rendered as price-action boxes with header labels and an optional “next” preview header. Macros: smaller windows within or outside KZs, each with a live high/low box, an optional “next” preview header, plus optional chart-height background bands. You’ll see: Borderless price-action boxes that track the highest high and lowest low inside each window. Header boxes above each window with centered labels. “Next” preview headers for the earliest upcoming Macro and Killzone. Optional backgrounds for the current Macro (live) and the next Macro (future window). High/Low lines for the current window, with optional extensions that continue after the window ends until price crosses or the trading day rolls. All times are interpreted in a configurable timezone (default America/New_York, DST-aware), while internal logic uses Unix time. Features 5 Killzones & 8 Macros out of the box (fully configurable). Session strings in HHMM-HHMM (supports cross-midnight, e.g., 1900-0200). Next previews: shows the earliest upcoming enabled Macro/KZ (clock-robust). Macro backgrounds: Current macro → chart-height band from start to “now”. Next macro → chart-height band from start to end (future). High/Low lines: Live H/L lines during the active window. On close, optional extensions per side (Hi/Lo) stop on first touch or day roll; or static lines if extension is off. Object hygiene: Session retention cap so only the last N completed windows per Macro/KZ are kept. Trim logic cleans boxes, headers, and any static lines. Inputs (top-level) Timezone (IANA, DST-aware): e.g., America/New_York (default). Sessions to show (per window): Max number of completed windows retained for each Macro/KZ. Header (global) Header height (ticks) Header gap (ticks) Header border width / style Header fill opacity Header text size / color Show next macro header (toggle) Show next killzone header (toggle) Macro Box (global) Box fill opacity Box border width / style High/Low Lines Show High/Low Lines (toggle) High/Low Lines Style (Solid/Dashed/Dotted) Extend High/Low (toggle) Extend High/Low Style (Solid/Dashed/Dotted) Killzones (KZ 1–5) Each KZ has: Label Enable (toggle) Session (HHMM-HHMM) Fill color Defaults (examples): Asia — 1900-0200, blue London — 0200-0500, purple New York AM (pre-market) — 0700-0930, green London Close — 1000-1200, yellow (disabled by default) New York PM — 1330-1600, orange (disabled by default) Macros (1–8) Each Macro has: Label Enable (toggle) Session (HHMM-HHMM) Fill color (defaults to gray, except any you changed) Defaults (examples): AM-1 0945-1015, AM-2 1045-1115, Lunch 1200-1300 (orange), PM-1 1330-1430, PM-2 1510-1600. How it works Windows: When a bar enters a session, we start tracking hi/lo, draw a price-action box, and position a header box above it (gap + height in ticks). Next previews: For each enabled set (Macros/KZs), we compute the next window by clock (handles cross-midnight) and draw a centered header at current price across the future window. Backgrounds: Current macro: a chart-height box from start index to current bar. Next macro: a chart-height box from next start to next end using xloc.bar_time. High/Low lines: Live H/L lines update during the window. On close: If Extend is OFF → draw static H/L lines across the window width. If Extend is ON → spawn independent Hi & Lo extension lines that advance bar-by-bar and stop at price cross or day roll (tz-aware). Tips Keep Sessions to show modest on low timeframes to limit objects. Use a per-symbol template for your preferred Macro/KZ setup. DJ/Bonds FX can be set to exchange timezones instead of NY if you prefer. Known limitations Extension stop logic uses bar high/low overlap; on very large bars it may halt on the same bar as close (by design). On extremely long lookbacks with many enabled windows, you may hit max_boxes_count/max_lines_count. Performance guidance Use on 1–15m timeframes for the best visual granularity. Reduce enabled windows and “Sessions to show” if you hit object limits. Changelog (short) v1.1.3 — High/Low lines + per-side extensions; static lines on window close when extension is off. v1.1.2 — Next Killzone preview header (clock-robust). v1.1.0 — Defaults: 5 Killzones & 8 Macros; removed snap-to-killzone. v1.0.0 — Independent Macro & KZ rendering.
Pine Script® Indikator
von RuntimeRascal
TOP GAINER V2 The "TOP GAINER" is a custom TradingView indicator designed to identify and trade high-potential momentum stocks, particularly top pre-market gainers with strong hype and volatility. It's tailored for day traders focusing on small-cap, low-float stocks that exhibit explosive price movements, allowing for quick entries and exits to capitalize on short-term pumps. This indicator combines technical signals (MACD, RSI, and EMA) with fundamental filters to spot setups in pre-market and early regular trading hours, ideally on a 5-minute chart for precise timing. Key Features and How It Works Scanning for Top Gainers: The indicator targets stocks that are among the day's top pre-market performers. It evaluates criteria like: Price Range ($2–$20): Focuses on affordable stocks where you can buy a large number of shares with limited capital. Lower-priced stocks often have higher volatility, enabling them to double, triple, or more in a single session due to hype-driven momentum. Pre-Market Gain (≥20%): Identifies stocks with significant upside from the pre-market open (4:00 AM ET), signaling strong early interest and potential for continuation. High Volume (≥500,000 shares from pre-market open): Ensures liquidity and confirms genuine hype, as elevated pre-market volume often precedes big moves at market open. Small Market Cap (<$500M): Prioritizes small-cap companies, which are more prone to rapid price swings from news, catalysts, or retail frenzy compared to large caps. Low Float (<50M shares): Low-float stocks have fewer shares available for trading, making them susceptible to sharp rallies when demand surges (e.g., from social media buzz or short squeezes). These criteria are displayed in a real-time table on the chart for quick scanning—green checkmarks (✅) indicate a match, red crosses (❌) show failures, and "N/A" appears if data is unavailable (e.g., for non-stocks). Entry Signals (Buy Opportunities): Once a stock meets the filters, the indicator watches for bullish momentum during pre-market or at market open: EMA Exit (default enabled): Sells when price crosses below a 40-period EMA (orange line), signaling a potential trend reversal. STRONGLY RECOMMEND TURNING THIS OFF MACD Exit (default enabled, now using standard line/signal crossunder): Sells on a bearish MACD crossover for momentum-based exits. Plots orange (EMA) or red (MACD) downward triangles above the bar for exits. Built-in alerts notify you of buy and sell signals in real-time. Why This Strategy? This indicator is built for "hype trading" on volatile small-caps, where pre-market scanners highlight gappers, and the tool helps time entries post-open (e.g., on 5-min charts) to catch breakouts. Small floats and caps amplify moves— a 20%+ gainer with high volume can surge 50–200% intraday due to supply/demand imbalances. The $2–$20 range keeps it accessible: with $1,000, you could buy 500 shares of a $2 stock, turning a $1 gain into $500 profit. It's not for long-term investing but for scalping or swinging on daily catalysts like earnings, news, or memes. Usage Tips This tool streamlines spotting and trading "lotto plays" while providing visual and alert-based discipline for entries/exits.
Pine Script® Indikator
von spaanderruben
AlphaBTC - Long Term Trend Probability Indicator on BitcoinWHAT IS ALPHABTC? AlphaBTC is a consensus-based long-term trend probability indicator designed specifically for Bitcoin and cryptocurrency markets. It combines 9 independent trend detection methodologies into a single probabilistic score ranging from -1 (strong bearish) to +1 (strong bullish). Unlike single-indicator systems that can produce frequent false signals, AlphaBTC requires agreement across multiple analytical frameworks before generating directional signals. METHODOLOGY - THE 9-INDICATOR CONSENSUS MODEL Each indicator analyzes trend from a different mathematical perspective, providing a binary vote: +1 (bullish), -1 (bearish), or 0 (neutral). The average of all 9 votes creates the final probability score. 1. AADTREND (Average Absolute Deviation Trend) Method: Calculates average absolute deviation from a moving average using 7 different MA types (SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA) Logic: Price crossovers above/below AAD-adjusted bands signal trend changes Purpose: Adapts to varying market volatility conditions 2. GAUSSIAN SMOOTH TREND (GST) Method: Multi-stage smoothing using DEMA → Gaussian Filter → SMMA → Standard Deviation bands Logic: Long when price > (SMMA + SDmultiplier), Short when price < (SMMA - SDmultiplier) Purpose: Removes high-frequency noise while preserving trend structure 3. RTI (RELATIVE TREND INDEX) Method: Percentile-based ranking system comparing current price to historical upper/lower trend boundaries Logic: Generates 0-100 index score; >80 = bullish, <20 = bearish Purpose: Identifies price position within statistical distribution 4. HIGHEST-LOWEST DEVIATIONS TREND Method: Dual moving average system (100/50 periods) with dynamic standard deviation bands Logic: Compares highest and lowest boundaries from both MAs to determine trend extremes Purpose: Identifies breakouts from multi-timeframe volatility envelopes 5. 25-75 PERCENTILE SUPERTREND Method: Modified SuperTrend using 25th and 75th percentile bands instead of simple highs/lows Logic: ATR-based trailing stop system anchored to percentile boundaries Purpose: More stable trend following by filtering outlier price spikes 6. TS VOLATILITY-ADJUSTED EWMA Method: Exponentially Weighted Moving Average with dynamic period adjustment based on ATR Logic: Speeds up during high volatility, slows during low volatility Purpose: Adaptive responsiveness to changing market conditions 7. NORMALIZED KAMA OSCILLATOR Method: Kaufman Adaptive Moving Average normalized to 0-centered oscillator Logic: Uses Efficiency Ratio to adjust smoothing constant; >0 = bullish, <0 = bearish Purpose: Adapts to both trending and ranging markets automatically 8. EHLERS MESA ADAPTIVE MOVING AVERAGE (EMAMA) Method: John Ehlers' MAMA/FAMA system using Hilbert Transform for cycle period detection Logic: MAMA crossover FAMA = bullish, crossunder = bearish Purpose: Advanced DSP-based trend detection with phase-based adaptation 9. EMA Z-SCORE Method: Statistical z-score applied to EMA values over lookback period Logic: >1.0 standard deviation = bullish, <0.0 = bearish Purpose: Identifies statistically significant trend deviations AGGREGATION METHODOLOGY Scoring System: Each indicator produces: +1 (bullish), -1 (bearish), or 0 (neutral) Total score = sum of all 9 indicators (-9 to +9) Average score = total / 9 (displayed as -1.00 to +1.00) Signal Interpretation: +0.50 to +1.00: STRONG BULLISH (majority consensus) +0.30 to +0.50: MODERATE BULLISH -0.30 to +0.30: WEAK/NEUTRAL (mixed signals) -0.50 to -0.30: MODERATE BEARISH -1.00 to -0.50: STRONG BEARISH (majority consensus) Bar Coloring: Cyan bars: Bullish consensus (score > 0) Magenta bars: Bearish consensus (score < 0) WHY THIS APPROACH WORKS Traditional Single-Indicator Problems: Overfitting to specific market conditions High false signal rates during consolidation No mechanism for confidence measurement AlphaBTC Multi-Consensus Solution: Diversification: 9 uncorrelated methodologies reduce individual indicator bias Robustness: Requires majority agreement before signaling (prevents whipsaws) Adaptability: Mix of momentum, volatility, and statistical indicators captures multiple market regimes Confidence Measurement: Score magnitude indicates signal strength Why These 9 Specific Indicators: AADTrend - Volatility adaptation GST - Noise filtering RTI - Statistical positioning HL Deviations - Multi-timeframe breakouts Percentile ST - Robust trend following Volatility EWMA - Dynamic responsiveness KAMA - Efficiency-based adaptation EMAMA - Cycle-period awareness EMA Z-Score - Statistical confirmation This combination covers: Trend following (ST, EWMA, KAMA, EMAMA) Volatility adaptation (AAD, GST, HL Dev, EWMA) Statistical validation (RTI, Z-Score) Adaptive smoothing (KAMA, EMAMA, Gaussian) No single indicator covers all these bases. The ensemble approach creates a more reliable system. VISUAL COMPONENTS 1. Score Table (Bottom Right): Shows all 9 individual indicator scores Color-coded: Green (bullish), Red (bearish), Gray (neutral) Individual signals visible for transparency 2. Main Score Display (Bottom Center): LTPI SCORE: The averaged consensus (-1.00 to +1.00) SIGNAL: Current directional bias (LONG/SHORT) STRENGTH: Signal confidence (STRONG/MODERATE/WEAK) 3. Bar Coloring: Visual trend indication directly on price bars Cyan = bullish consensus Magenta = bearish consensus HOW TO USE For Long-Term Position Trading (Recommended): Wait for average score to cross above 0 for long entries Exit when score crosses below 0 or reverses to negative territory Use STRENGTH indicator - only trade STRONG or MODERATE signals For Trend Confirmation: Use AlphaBTC as confluence with your existing strategy Enter trades only when AlphaBTC agrees with your analysis Avoid counter-trend trades when consensus is strong (|score| > 0.5) Risk Management: STRONG signals (|score| > 0.5): Full position size MODERATE signals (0.3-0.5): Reduced position size WEAK signals (< 0.3): Avoid trading or use for exits only Best Timeframes: 1D chart: Primary trend identification for swing/position trading 4H chart: Intermediate trend for multi-day holds 1H chart: Short-term trend for active trading Not Recommended: Scalping (too many indicators create lag) Timeframes < 1H (designed for longer-term trends) SETTINGS EXPLAINED Each of the 9 indicators has customizable parameters in its dedicated settings group: AadTrend Settings: Average Length (48): Base period for deviation calculation AAD Multiplier (1.35): Band width adjustment Average Type: Choose from 7 different MA types GST Settings: DEMA Length (9), Gaussian Length (4), SMMA Length (13) SD Length (66): Standard deviation lookback Multipliers for upper/lower bands RTI Settings: Trend Length (75): Historical data points for boundary calculation Sensitivity (88%): Percentile threshold Long/Short Thresholds (80/20): Entry trigger levels HL Deviations Settings: Dual MA system (100/50 periods) Separate deviation coefficients for upper/lower bands 25-75 Percentile ST Settings: SuperTrend Length (100) Multiplier (2.35) Percentile Length (50) EWMA Settings: Length (81), ATR Lookback (14) Volatility Factor (1.0) for dynamic adjustment KAMA Settings: Fast/Slow Periods (50/100) Efficiency Ratio Period (8) Normalization Lookback (53) EMAMA Settings: Fast/Slow Limits (0.08/0.01) for cycle adaptation EMA Z-Score Settings: EMA Length (50) Lookback Period (25) Threshold levels for long/short signals ALERTS Four alert conditions available: LTPI Long Signal: When average score crosses above 0 LTPI Short Signal: When average score crosses below 0 LTPI Long: Any bar with bullish consensus LTPI Short: Any bar with bearish consensus IMPORTANT NOTES This is a CONSENSUS indicator - it shows probability, not prediction Designed for Bitcoin Best for long-term trend identification (days to weeks, not minutes to hours) Lagging by design - prioritizes accuracy over speed Not a standalone strategy - use with proper risk management and position sizing Requires minimum 100+ bars of historical data for proper indicator calculation
Pine Script® Indikator
von AlphaEdge_
TOP GAINERS Overview and Purpose The "All-in-One Scanner" is a custom TradingView indicator designed to identify and trade high-potential momentum stocks, particularly top pre-market gainers with strong hype and volatility. It's tailored for day traders focusing on small-cap, low-float stocks that exhibit explosive price movements, allowing for quick entries and exits to capitalize on short-term pumps. This indicator combines technical signals (MACD, RSI, and EMA) with fundamental filters to spot setups in pre-market and early regular trading hours, ideally on a 5-minute chart for precise timing. Key Features and How It Works Scanning for Top Gainers: The indicator targets stocks that are among the day's top pre-market performers. It evaluates criteria like: Price Range ($2–$20): Focuses on affordable stocks where you can buy a large number of shares with limited capital. Lower-priced stocks often have higher volatility, enabling them to double, triple, or more in a single session due to hype-driven momentum. Pre-Market Gain (≥20%): Identifies stocks with significant upside from the pre-market open (4:00 AM ET), signaling strong early interest and potential for continuation. High Volume (≥500,000 shares from pre-market open): Ensures liquidity and confirms genuine hype, as elevated pre-market volume often precedes big moves at market open. Small Market Cap (<$500M): Prioritizes small-cap companies, which are more prone to rapid price swings from news, catalysts, or retail frenzy compared to large caps. Low Float (<50M shares): Low-float stocks have fewer shares available for trading, making them susceptible to sharp rallies when demand surges (e.g., from social media buzz or short squeezes). These criteria are displayed in a real-time table on the chart for quick scanning—green checkmarks (✅) indicate a match, red crosses (❌) show failures, and "N/A" appears if data is unavailable (e.g., for non-stocks). Exit Signals (Sell Opportunities): To lock in profits and minimize losses, it provides two optional exit methods: EMA Exit (default enabled): Sells when price crosses below a 40-period EMA (orange line), signaling a potential trend reversal. MACD Exit (default enabled, now using standard line/signal crossunder): Sells on a bearish MACD crossover for momentum-based exits. I HIGLY RECOMMEND ONLY HAVING THIS ON FOR EXIT Plots orange (EMA) or red (MACD) downward triangles above the bar for exits. Built-in alerts notify you of buy and sell signals in real-time. Why This Strategy? This indicator is built for "hype trading" on volatile small-caps, where pre-market scanners highlight gappers, and the tool helps time entries post-open (e.g., on 5-min charts) to catch breakouts. Small floats and caps amplify moves— a 20%+ gainer with high volume can surge 50–200% intraday due to supply/demand imbalances. The $2–$20 range keeps it accessible: with $1,000, you could buy 500 shares of a $2 stock, turning a $1 gain into $500 profit. It's not for long-term investing but for scalping or swinging on daily catalysts like earnings, news, or memes. Usage Tips Apply to watchlists of pre-market scanners (e.g., via TradingView or external tools). Best on US stocks with extended hours data enabled. Customize inputs like MACD lengths or min gain/volume for your risk tolerance. Backtest on historical data, and always use stop-losses—momentum trades can reverse quickly. Ad your alarm and wait
Pine Script® Indikator
von spaanderruben
ATH Levels v4# ATH Levels v4 A powerful indicator for tracking All-Time Highs (ATH) and setting customizable price levels based on percentage drops from the ATH. Perfect for cryptocurrency trading, DCA strategies, and risk management. ## Overview ATH Levels v4 helps traders visualize key support levels calculated as percentage drops from the All-Time High within a configurable lookback period. The indicator also tracks the All-Time Low (ATL) since the last ATH, providing a complete picture of price range dynamics. ## Key Features ### Configurable Percentage Levels - Define up to 8 custom price levels as percentage drops from ATH - No longer limited to fixed 10% intervals - Each level can be set anywhere from 0% to 100% drop - Default levels: 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% ### ATL Tracking (NEW in v4) - Automatically tracks the All-Time Low since the last ATH was reached - Displays ATL price and percentage drop from ATH - Resets when a new ATH is detected - Can be toggled on/off ### Portfolio Management - Allocate pot size percentages to each level - Visualize dollar amounts for each level based on your total pot size - Plan your DCA (Dollar Cost Averaging) strategy - Only displays levels with allocated pot percentages ### Flexible Display Options - Show/hide level lines - Hide ATH level for zooming into lower levels - Configurable lookback period (default 365 days) - Adjustable right margin positioning for labels - Color-coded labels with transparency gradient ## How to Use ### Basic Setup 1. Add the indicator to your chart 2. Set your total pot size in dollars 3. Configure the percentage drops for each level (where you want to buy/accumulate) 4. Allocate pot size percentages to each level ### Example DCA Strategy ``` Total Pot Size: $10,000 Level 3 (-30%): 10% pot = $1,000 Level 4 (-40%): 20% pot = $2,000 Level 5 (-50%): 25% pot = $2,500 Level 6 (-60%): 30% pot = $3,000 Level 7 (-70%): 10% pot = $1,000 Level 8 (-80%): 5% pot = $500 ``` ## Settings ### Display Options - **Show level lines**: Toggle horizontal lines on/off - **Hide ATH level**: Hide the ATH label for cleaner charts - **Show ATL since last ATH**: Display/hide the All-Time Low indicator - **Days to Lookback**: Period for calculating ATH (default: 365) - **Margin from last bar**: Spacing between chart and labels (default: 10) ### Level Configuration - **Level 1-8 % drop from ATH**: Set custom percentage drops (0-100%) - **Level 1-8 pot %**: Allocate your portfolio percentage to each level (0-100%) **Note**: Levels only display if they have a pot percentage allocated (>0%) ### Pot Size - **Pot size**: Total amount in dollars available for the strategy ## Version History ### V4 (October 2025) - Upgraded to PineScript v6 - Configurable percentage drops from ATH (no longer hardcoded) - ATL tracking and display since last ATH - Updated syntax and functions for v6 compatibility ### V3 (May 2020) - Added option to hide ATH level for better chart zoom ### V2 - Hide/show level lines - Configurable lookback period - Configurable right margin - Only shows levels with pot size % set ### V1 - Initial release with 8 fixed levels ## Use Cases ### Cryptocurrency Trading - Plan accumulation zones during bear markets - Set alerts at key percentage drops from ATH - Track historical ATH and ATL ranges ### Risk Management - Visualize potential support zones - Plan position sizing at different levels - Monitor distance from ATH in real-time ### DCA Strategies - Automate dollar-cost averaging planning - Allocate budget across multiple price levels - Track execution of your DCA plan ## Technical Details - **Version**: PineScript v6 - **Type**: Indicator - **Overlay**: Yes - **Default Timeframe**: Works on all timeframes - **Calculations**: Based on closing prices within lookback period ## Credits Original concept inspired by daytask. Enhanced and maintained by SilvesterScorpion.com ## License This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org --- **Tip**: For best results, use on higher timeframes (4H, Daily, Weekly) to identify major support zones. Combine with volume analysis and other indicators for confirmation.
Pine Script® Indikator
von SilvesterScorpion
Evergreen Solutions - ONEOverview ONE is a strategy designed for all markets that captures short-term momentum in high-volatility conditions. It integrates RSI, volume analysis, chop filters, and moving to identify when markets shift from range-based choppiness to high-probability opportunities. The system is structured to be reactive, focusing on trades with strong volatility expansion and statistically favorable win potential. ONE is a protected script because it’s long and short signals are based off of custom coded confirmations. That is what makes our script unique. How to Use It - Equities: A reliable options or swing-trading companion for large-cap tickers. - Futures: Refined for intraday structure on index products. - Forex: Designed to reduce false starts on illiquid currency pairs. - Crypto: Tailored for the volatility of 24/7 markets while maintaining composure in high volatility. When ONE executes a trade, a SL and TP plot is generated using an ATR range. These plots serve as delineated boundaries for the trade. Simply place your SL and TP, and walk away. Modes of Operation ONE Mode – A single-entry, single-exit design for simplicity. Breakeven Mode – Shifts the stop to entry once a defined profit threshold is met, protecting capital in uncertain markets. Multi Mode – Scales entries and exits to capture extended runs and adapt to different volatility regimes. Conceptual Logic Trend Detection: Uses custom and standard moving averages to define short-term directional bias. Volatility Filter: Custom chop filters suppress trades during ranging price action. Momentum Signal: RSI combined with volume analysis highlights moments of rapid volatility expansion and strong price acceleration. Execution Rule: All trades trigger only on bar open; no repainting or lookahead data is used. What Makes ONE Different ONE’s originality lies in it’s trading modes and the integration of multiple filters (RSI + volume + choppiness + adaptive MAs) into a single framework. This reduces conflicting signals, emphasizes risk control, and keeps decision-making transparent for the trader. - Consistency: ONE adapts seamlessly to all markets. It does not rely on hidden market structure; its design is universal. - Simplicity: No learning curve. ONE was built so any trader — beginner or advanced — can trade immediately. - Risk: Every mode respects capital preservation. Decisions are made to avoid catastrophic losses. - Transparency: New positions enter only on bar open, with no hidden repainting or misleading lookaheads. - Structure: ONE reflects the discipline of professional trading: structured, rules-based, and repeatable under changing conditions. Backtest Defaults Symbol: CME_MINI:NQ1! Backtest range: Oct 13, 2024 – Oct 13, 2025 Account size: $10,000 Total trades: 469 Win rate: 68% Total P&L: $97,014 Profit factor: 1.54 Sharpe ratio: 0.68 Sortino ratio: 9.59 Commission:$0.88 / contract Slippage: 1 tick Limitations ONE does not guarantee profits. Effectiveness depends on liquidity, volatility, and market conditions. Past results do not imply future returns.
Pine Script® Strategie
von Evergreen_Solutions
AlphaRank - Relative Strength Portfolio StrategyWHAT IS ALPHARANK? AlphaRank is a multi-asset relative strength portfolio system that identifies the strongest performing assets within a customizable universe of 10 instruments through pairwise comparison analysis. Unlike traditional relative strength indicators that simply compare price ratios, AlphaRank employs a tournament-style evaluation system using 7 distinct technical indicators to determine true relative strength. METHODOLOGY - HOW IT WORKS Core Concept: Pairwise Tournament Analysis AlphaRank compares every asset against every other asset in your universe (45 unique pairs for 10 assets). For each pair, the system evaluates relative strength using 7 independent indicators: - RSI (35-period) - Momentum comparison - Rate of Change (31-period) - Price velocity analysis - Z-Score (44-period) - Statistical deviation from mean - Omega Ratio (30-period, smoothed) - Risk-adjusted returns using imported ratio library - Linear Regression ROC (30-period linreg, 14-period ROC) - Trend strength and acceleration - Kijun Sen Base (44-period SMA) - Ichimoku-style baseline comparison - RSI ROC (45-period RSI, 15-period ROC) - Momentum acceleration Scoring System: For each pairwise comparison (e.g., ETH vs SOL), the system calculates all 7 indicators on the price ratio (ETH/SOL). Each indicator returns a binary signal (1 or 0). These are summed to create a pair score from 0-7. If pair score > 3: The numerator asset (ETH) is considered relatively stronger If pair score ≤ 3: The denominator asset (SOL) is considered relatively stronger This creates a decisive winner for each pair (no neutral outcomes due to the odd number of indicators). Final Ranking: Each asset accumulates points for every pairwise comparison it wins. With 10 assets, each asset faces 9 competitors. Final scores range from 0 (lost all comparisons) to 9 (won all comparisons). ORIGINALITY - WHY THIS IS DIFFERENT Traditional Relative Strength: - Compares assets to a benchmark (like SPY) - Uses single indicator (usually RSI or price ratio) - Binary strong/weak classification AlphaRank Approach: - Round-robin tournament: every asset vs every other asset - Multi-indicator consensus (7 indicators, not 1) - Granular ranking from 0-9 showing exact relative positioning - Real-time tournament matrix visualization showing all head-to-head results - Integrated backtesting with position sizing Key Innovation: By using 7 uncorrelated indicators in a consensus model, AlphaRank reduces false signals from any single indicator's weaknesses. An asset must demonstrate strength across multiple analytical dimensions (momentum, trend, volatility, acceleration) to rank highly. VISUAL COMPONENTS Tournament Matrix (Top Right): Shows every head-to-head matchup Green dots = asset won that comparison Red dots = asset lost that comparison Instantly see which assets dominate across the board RSPS Score Table (Right side of matrix): Final relative strength scores (0-9) Color-coded gradient showing strength hierarchy Top Assets Table (Bottom Center): Displays your top N ranked assets Updates dynamically as rankings change Equity Curve (Main Chart): Shows backtested portfolio performance Compares system returns vs buy-and-hold Performance Metrics (Bottom): Sharpe ratio, Sortino ratio, Omega ratio Maximum drawdown Individual asset and portfolio metrics HOW TO USE Setup: Choose your 10 assets in the settings (crypto, stocks, indices, etc.) Set your desired number of top assets to hold (default: 2) Configure backtest start date and leverage Interpretation: Score 7-9: Extremely strong relative to peers - high confidence holdings Score 4-6: Moderate relative strength - proceed with caution Score 0-3: Weak relative to peers - avoid or consider shorting Trading Strategy: The system automatically allocates capital equally among the top-ranked assets and rebalances when rankings change. This creates a rotation strategy that systematically favors the strongest performers. TECHNICAL SPECIFICATIONS Timeframe: Works on all timeframes (1H, 4H, 1D recommended for crypto) Assets: Fully customizable 10-asset universe Rebalancing: Automatic when rankings change SETTINGS EXPLAINED Leverage Amount: Apply leverage to position sizing (1.0 = no leverage) Startdate: When to begin backtesting calculations Highlight Top Assets: How many top-ranked assets to hold (2-5 recommended) Show Combined Matrix: Toggle the tournament visualization Show Detailed Metrics: Individual asset performance statistics Show Small Metrics Table: Simplified performance summary BACKTESTING METHODOLOGY The indicator includes full backtesting capabilities. It calculates: Individual Asset Performance: Each asset's returns if held in isolation Portfolio Performance: Combined returns of top-ranked assets Buy & Hold Benchmark: Equal-weight portfolio of all 10 assets Risk Metrics: Sharpe, Sortino, Omega ratios for all strategies This allows you to validate the relative strength rotation strategy against simple buy-and-hold. IMPORTANT NOTES This is a rotation strategy - it does not predict absolute direction, only relative strength Works best with correlated assets (e.g., all crypto, all tech stocks) Requires sufficient history for indicator calculations (minimum 60 bars) Backtesting uses historical data; future performance may differ Not financial advice - use for educational purposes
Pine Script® Indikator
von AlphaEdge_
Zippo Blaze CryptoZippo Blaze Crypto An advanced trend-following indicator that analyzes cryptocurrency price movements by integrating them with major pairs (BTC, ETH, BNB, etc.). It combines the price with these pairs and overall market dynamics to create a main line, colors this line based on momentum, and adds user-adjustable EMAs on top. This provides a balanced trend analysis by considering connections in the crypto market. It only works for cryptocurrencies; it shows no data for other assets (e.g., Borsa Istanbul stocks). How It Works? This system operates using a special method that combines crypto prices with major pairs (like BTC, ETH, BNB) and the price itself: - Price Movement Line: The main line created by normalizing the crypto price with pairs and market data – it shows movement with major coins, but moves in tandem with the price (the line rises when the price rises, falls when it falls) and synchronizes with pairs. -- Coloring: Determined based on momentum: 🟢 Green: Upward momentum – upward price movement expected. 🔴 Red: Downward momentum – downward price movement expected. 🔵 Blue: Neutral zone – horizontal movement or uncertainty period. -- EMAs: Moving averages added on top of the main line (EMA 20, 50, 100, 200). Periods can be changed by the user; other calculations are fixed. This method strengthens signals by utilizing the interconnected structure of the market and reduces optimization risk. Key Features: Pair Integration: Integrates price movement with major pairs like BTC, ETH, BNB, providing a connected view instead of an isolated analysis. Momentum Coloring: Colors the line for quick trend detection – green and red zones give clear signals. Verification Tools: EMAs verify the direction of the main line; for example, EMAs turning upward can be used as a long signal, downward as a short signal. Price Action Levels: When viewed on larger time frames (daily, weekly), important support/resistance levels (PA levels) become more apparent. Crypto-Focused: Only activates on crypto symbols; remains blank in other markets. How to Use? -- Price Movement Line: Main trend indicator – moves in sync with pairs, signals long opportunities in uptrends, short in downtrends. 🟢 Green Line: Upward movement expected (evaluate long positions). 🔴 Red Line: Downward movement expected (evaluate short positions). 🔵 Blue Line: Horizontal or neutral period – avoid opening new positions. - EMAs: Line and EMA crossovers confirm signals; EMAs turning upward can be interpreted as a long signal, downward as short. Monitor PA levels with EMAs on larger periods. Time Frame and Usage Recommendations Best results are achieved on hourly and higher time frames (e.g., 1H, 4H, daily), as pair integration and price movement are clearer in these frames. Signals may weaken in low-liquidity altcoins; ideal for major cryptocurrencies (BTC, ETH, BNB, etc.). Use EMAs to detect PA levels on larger periods (daily+) – this provides an advantage in long-term trades. In short time frames, adjust EMA periods for filtering. Important Warning This indicator is developed for technical analysis purposes and does not contain investment advice. Market conditions can change rapidly; even pair integration cannot provide full protection against instant fluctuations. Make all your investment decisions based on your own research, risk management strategies, and professional advice.
Pine Script® Indikator
von Zippo_Javie
Octopus OscillatorOctopus Oscillator - Advanced Multi-Indicator for TradingView The Octopus Oscillator is a sophisticated technical analysis tool that combines the power of MACD and OBV-ADX indicators into one comprehensive oscillator. Designed for traders seeking clean, professional signals without visual clutter. 🎯 KEY FEATURES: Dual Analysis System: MACD Component: Classic Moving Average Convergence Divergence with thin, clean lines OBV-ADX Component: Advanced volume-based directional movement analysis Clean Visual Design: Slim, elegant lines for optimal chart clarity Prominent DI Difference histogram for momentum visualization No distracting arrows or unnecessary plot markers Professional color scheme with blue MACD and red Signal lines Flexible Display Options: Toggle MACD display on/off Switch between ADX line view and DI Difference histogram Adjustable background highlights for strong trend signals Customizable parameters for all components 📊 INDICATOR COMPONENTS: MACD Section: Fast and slow EMA comparison for momentum analysis Clean crossover signals without histogram clutter Customizable periods and moving average types OBV-ADX Section: On-Balance Volume (OBV) based Directional Indicators ADX smoothing for trend strength measurement DI Difference histogram showing momentum direction Background highlights for strong trend conditions ⚙️ CUSTOMIZATION: Adjustable MACD fast/slow lengths and smoothing Customizable DI Length and ADX smoothing periods Multiple MA type options (SMA/EMA) Toggle individual components on/off Perfect for traders who want combined momentum and volume analysis in one clean, professional package. The Octopus Oscillator helps identify trend strength, momentum shifts, and potential trading opportunities with exceptional clarity. Add to your TradingView chart today and enhance your technical analysis!
Pine Script® Indikator
von OctopusTrader2830
Octopus Indicator 🐙 Octopus Indicator - Technical Analysis Description Overview The Octopus Indicator is a comprehensive TradingView technical analysis tool that combines multiple trading methodologies into a single, powerful script. It provides a complete market analysis framework through seven integrated components. 🔧 Core Components: 1. Moving Averages with Clouds EMA 25, 50, 75, and 150 with standard deviation bands Visual clouds representing volatility around each EMA Customizable colors for each average and its cloud 2. Dual Hull Bands Two separate Hull bands with different periods (20 and 110) Multiple variations: HMA, THMA, EHMA Colored filling between Hull lines Option to use higher timeframes for multi-timeframe analysis 3. Swing High/Low Detector Identifies significant price reversal points Configurable swing strength (default: 5 bars) Solid lines for current swings and dotted for past ones Alerts when swing levels are broken 4. Volume Analysis (PVSRA) Vector Candles that change color based on volume: Red/Green: Volume ≥ 200% of average or highest spread×volume Blue/Violet: Volume ≥ 150% of average Gray: Normal conditions Vector Candle Zones (VCZ): Key areas based on volume candles 5. Daily & Weekly Levels Previous day's high and low Previous week's high and low Stepline display with optional labels 6. UT Bot - Trailing Stop Dynamic ATR-based stop loss Bar coloring based on trend direction Adjustable sensitivity via "Key Value" 7. Session Detector Identifies session highs/lows (Sydney, Asia, Europe, etc.) Visual boxes marking each trading session ⚙️ Customization Features: Individual color schemes for all elements Adjustable line thickness Custom transparency settings Flexible calculation periods Multiple timeframe options 🎯 Trading Applications: Trend Identification (EMAs + Hull) Entry/Exit Points (Swings + Volume) Risk Management (Trailing Stop) Support/Resistance (VCZ + Highs/Lows) Market Timing (Sessions + Volume) 💡 Key Benefits: All-in-One Solution: Eliminates indicator clutter Multi-Timeframe Analysis: Built-in higher timeframe data Visual Clarity: Clean, organized display with color coding Customizable Alerts: Swing break and trend change notifications Professional Grade: Institutional-level volume analysis This indicator is designed for traders who want a comprehensive market analysis tool without the complexity of managing multiple separate indicators, providing holistic market insight through different technical perspectives.
Pine Script® Indikator
von OctopusTrader2830
Fair Value Gaps by DGTFair Value Gaps A refined, multi-timeframe Fair Value Gap (FVG) detection tool that brings institutional imbalance zones to life directly on your chart. Designed for precision, it visualizes how price delivers into inefficiencies across chart, higher, and lower (intrabar) timeframes — offering a fluid, structural view of liquidity displacement and market flow. The script continuously tracks unfilled, partially repaired, and fully resolved imbalances, revealing where liquidity inefficiencies concentrate and where price may seek rebalancing. Overlapping zones naturally expose institutional footprints, potential liquidity targets, and key re-pricing regions within the broader market structure. KEY FEATURES ⯌ Multi-Timeframe Detection Detect and display FVGs from the current chart, higher timeframes (HTF), or lower timeframes (LTF) ⯌ Smart Fill Tracking Automatic real-time monitoring of each FVG’s fill progress with live percentage updates ⯌ Custom Fill Logic Choose your preferred definition of when a gap is considered filled: Any Touch Midpoint Reached Wick Sweep Body Beyond ⯌ Dynamic Labels & Tooltips Labels can be toggled on/off. Even when hidden, detailed tooltips remain available by hovering over the FVG midpoint. ⯌ Adaptive Lower-Timeframe Mode When set to “Auto,” the script intelligently selects the optimal lower timeframe based on the chart resolution. DISCLAIMER This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Pine Script® Indikator
von dgtrd
14
Ghost BookGhost Book is an indicator that visualizes the distribution of bid and ask amount — the activity of buyers and sellers — in the form of a synthetic order book. While a real order book shows active limit orders, Ghost Book displays the most recent n ticks (controlled by the input Max rows count in book). For each tick, the indicator shows: Price Amount Total trade value Trade side (buyer or seller) Relative weight of the tick by its amount The center row displays the current closing price as a reference point between buyers and sellers. Note: This indicator uses tick-level data. If your TradingView subscription level does not include tick data, the indicator will not function correctly.
Pine Script® Indikator
von dboichenko