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Institutional Confluence Mapper [JOAT]Institutional Confluence Mapper (ICM) Introduction The Institutional Confluence Mapper is an open-source multi-factor analysis tool that combines five analytical modules into a unified confluence scoring system. It synthesizes institutional trading concepts including Relative Rotation analysis, Smart Money flow detection, Liquidity zone mapping, Session-based timing, and Volatility regime classification. Rather than relying on a single indicator, ICM evaluates market conditions through multiple lenses simultaneously, presenting a clear confluence score (0-100%) that reflects the alignment of various market factors. This script is fully open-source under the Mozilla Public License 2.0. Originality and Purpose This indicator is NOT a random mashup of existing indicators. It is an original implementation that creates a unified institutional analysis framework: Why Multiple Modules? Most retail traders struggle because they rely on single indicators that provide conflicting signals. Institutional traders evaluate markets through multiple frameworks simultaneously. ICM bridges this gap by providing a unified view of complementary analysis methods. The Confluence Scoring System: Each module contributes to a weighted confluence score (0-100%). Scores above 65% indicate bullish confluence; below 35% indicates bearish confluence. How Components Work Together: RRG (Relative Rotation) determines macro bias - is this asset outperforming or underperforming its benchmark? Institutional Flow confirms smart money activity - are institutions accumulating or distributing? Volatility Regime determines strategy selection - trend-follow or mean-revert? Liquidity Detection identifies key levels - where are the stop hunts happening? Session Analysis optimizes timing - when should you trade? The Five Core Modules 1. Relative Rotation Momentum Matrix (RRG) Compares the current symbol against a benchmark (default: SPY) using the JdK RS-Ratio methodology with double-smoothed EMA. Assets rotate through four quadrants: LEADING: Outperforming with positive momentum (strongest bullish) WEAKENING: Outperforming but losing momentum LAGGING: Underperforming with negative momentum (strongest bearish) IMPROVING: Underperforming but gaining momentum 2. Institutional Flow Analysis Analyzes volume patterns to detect smart money activity: Volume Z-Score measures how unusual current volume is Buy/Sell pressure estimation based on candle structure Unusual volume detection highlights institutional activity 3. Volatility Regime System Uses ATR percentile ranking to classify market conditions: COMPRESSION: Low volatility (ATR < 20th percentile) - potential breakout EXPANSION: High volatility (ATR > 80th percentile) - trending TRENDING_BULL/BEAR: Directional trends based on EMA alignment RANGING: Sideways consolidation 4. Liquidity Detection Identifies institutional liquidity targets using swing point analysis: Swing highs/lows are tracked and displayed as dashed lines Purple dashed lines mark resistance/sell-side liquidity Teal dashed lines mark support/buy-side liquidity Gold diamonds appear when liquidity sweeps are detected (potential reversals) 5. Session Momentum Profiler Tracks trading sessions based on your selected timezone: Asian Session: 7PM - 4AM EST London Session: 3AM - 12PM EST New York Session: 9:30AM - 4PM EST London/NY Overlap: 8AM - 12PM EST (peak liquidity) Visual Elements Main Dashboard (Top-Right): BIAS: Overall direction with confluence percentage RRG: Current quadrant and momentum FLOW: Smart money bias and volume status REGIME: Market condition and volatility percentile SESSION: Active trading session and current time LIQUIDITY: Active zones and grab signals SIGNAL: Actionable recommendation Chart Elements: Gold Diamond: Liquidity grab (potential reversal point) Teal Dashed Line: Support / Buy-side liquidity zone Purple Dashed Line: Resistance / Sell-side liquidity zone EMA 21/55/200: Trend structure with cloud fill Volatility Bands: ATR-based channels How to Use Step 1: Check the BIAS row for overall market direction Step 2: Check REGIME to understand market conditions Step 3: Identify key levels using liquidity zones and EMAs Step 4: Wait for confluence above 65% (bullish) or below 35% (bearish) Step 5: Look for gold diamond signals at key levels Best Setups Bullish: Confluence >65%, RRG in LEADING/IMPROVING, bullish flow, price near teal support zone. Bearish: Confluence <35%, RRG in LAGGING/WEAKENING, bearish flow, price near purple resistance zone. Reversal: Gold diamond appears after price sweeps a liquidity zone. Key Input Parameters Benchmark Symbol: Compare against (default: SPY) RS-Ratio/Momentum Lookback: RRG calculation periods Volume Analysis Period: Flow detection lookback Swing Length: Liquidity zone detection ATR Period/Rank Period: Regime classification Timezone: Session detection timezone Alerts Liquidity Grab Bull: Bullish sweep detected Liquidity Grab Bear: Bearish sweep detected High Confluence Bull: Confluence above 70% High Confluence Bear: Confluence below 30% Best Practices Use on 1H, 4H, or Daily timeframes for reliable signals Combine with price action for confirmation Respect the regime - don't fight strong trends Trade during London/NY overlap for best liquidity Wait for high confluence scores before entering Always use proper risk management Limitations Works best on liquid markets with sufficient volume Session features optimized for forex/crypto markets RRG requires a valid benchmark symbol No indicator predicts the future - use proper risk management Disclaimer This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. -Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
6
TurboRSI Pro [JOAT]TurboRSI Pro - Multi-Length RSI Ensemble with Dynamic Momentum Analysis Introduction TurboRSI Pro is an open-source indicator that reimagines the classic RSI by calculating multiple RSI lengths simultaneously and combining them into a single, more reliable momentum reading. Instead of relying on a single RSI period that may lag or produce false signals, this indicator creates an ensemble of RSI values across a configurable range, providing a smoother and more robust momentum assessment. The indicator is designed for traders who want deeper insight into momentum conditions without the noise that comes from single-period oscillators. Originality and Purpose This indicator is NOT a simple RSI with different settings. It is an original implementation that solves a fundamental problem with traditional RSI: The Problem with Single-Period RSI: Traditional RSI uses a single lookback period (typically 14). The issue is that different market conditions favor different RSI lengths. A 14-period RSI might work well in one market phase but produce false signals in another. There's no "perfect" RSI length that works in all conditions. The Multi-Length Solution: TurboRSI Pro calculates RSI across a range of lengths (default: 10 to 20) simultaneously, then averages all values to create a composite reading. This ensemble approach filters out period-specific noise while preserving genuine momentum shifts. When multiple RSI lengths agree, the signal is more reliable. OB/OS Strength Percentage: The indicator tracks how many individual RSI lengths are in overbought or oversold territory. When 100% of lengths are overbought, it's a much stronger signal than when only 50% are. This percentage-based approach is original to this indicator and provides conviction assessment. Candle Heatmap Innovation: An optional feature colors price bars based on deviation from a 200-bar linear regression line. This shows when price is statistically overextended (HOT/COLD) independent of RSI, providing another layer of analysis. How the components work together: Multi-length RSI ensemble provides a more robust momentum reading than single-period RSI OB/OS Strength percentages quantify how many timeframes agree on the momentum condition Dynamic channels expand/contract based on momentum strength across all calculated lengths Candle heatmap adds statistical price deviation context independent of RSI Core Concept: Multi-Length RSI Ensemble Traditional RSI uses a single lookback period (typically 14). The problem is that different market conditions favor different RSI lengths. TurboRSI Pro solves this by: Calculating RSI across a range of lengths (default: 10 to 20) Averaging all RSI values to create a composite reading Tracking how many individual RSI lengths are in overbought or oversold territory Displaying this information as "OB Strength" and "OS Strength" percentages This approach filters out noise while preserving genuine momentum shifts. How the Multi-Length RSI Works The calculation uses an efficient array-based approach: int N = maxLength - minLength + 1 float diff = nz(srcInput - srcInput ) for i = 0 to N - 1 int len = minLength + i float alpha = 1.0 / len float numRma = alpha * diff + (1 - alpha) * array.get(numArr, i) float denRma = alpha * math.abs(diff) + (1 - alpha) * array.get(denArr, i) float rsiVal = denRma != 0 ? 50 * numRma / denRma + 50 : 50 avgRSI += rsiVal Each RSI length is calculated using the RMA (Running Moving Average) formula, then all values are averaged. The result is a composite RSI that responds to momentum changes while filtering out period-specific noise. Visual Components 1. Multi-Length RSI Line The main oscillator line displays the averaged RSI value with a gradient color: Green gradient when RSI is above 50 (bullish momentum) Red gradient when RSI is below 50 (bearish momentum) Color intensity increases as RSI approaches extreme levels 2. Dynamic Channels Two adaptive channel lines track momentum extremes: Upper Channel: Expands when multiple RSI lengths enter overbought territory Lower Channel: Expands when multiple RSI lengths enter oversold territory Channel width indicates momentum strength across all calculated lengths 3. Candle Heatmap An optional feature that colors price bars based on deviation from a linear regression line: Red/Orange bars: Price is significantly above the regression line (overextended to upside) Blue bars: Price is significantly below the regression line (overextended to downside) Yellow bars: Price is near the regression line (neutral) The heatmap uses a 200-bar regression calculation to identify when price has deviated significantly from its statistical trend. 4. Reference Lines Standard RSI reference levels are displayed: 80 and 20: Extreme overbought/oversold 70 and 30: Standard overbought/oversold thresholds 50: Neutral momentum line 5. Background Zones Shaded areas indicate the percentage of RSI lengths in extreme territory: Green shading from bottom: Percentage of lengths in overbought Red shading from top: Percentage of lengths in oversold Dashboard Panel The dashboard displays real-time analysis in a 7-row table: RSI Value: Current composite RSI reading (large text for visibility) Momentum: Current state - OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL OB Strength: Percentage of RSI lengths currently above the overbought threshold OS Strength: Percentage of RSI lengths currently below the oversold threshold Heat Level: Current price deviation state - HOT, WARM, NEUTRAL, COOL, or COLD Trend Bias: Overall trend assessment based on RSI level and channel direction Optional Stochastic RSI When enabled, an additional Stochastic RSI line is plotted. This applies the stochastic formula to the RSI itself, providing another layer of momentum analysis. The Stochastic RSI is more sensitive to short-term momentum shifts. Input Parameters RSI Settings: Min RSI Length: Starting length for the RSI range (default: 10) Max RSI Length: Ending length for the RSI range (default: 20) Source: Price source for calculation (default: ohlc4) Overbought: Upper threshold (default: 70) Oversold: Lower threshold (default: 30) Candle Heatmap: Enable Heatmap: Toggle bar coloring on/off (default: enabled) Regression Length: Lookback for linear regression calculation (default: 200) Display: Show Dashboard: Toggle the information panel (default: enabled) Show Dynamic Channels: Toggle channel lines (default: enabled) Show Stochastic RSI: Toggle additional Stoch RSI line (default: disabled) Colors: Bullish: Color for bullish conditions (default: teal) Bearish: Color for bearish conditions (default: red) Neutral: Color for neutral conditions (default: gray) How to Use TurboRSI Pro Identifying Momentum Shifts: Watch for RSI crossing above 50 for bullish momentum confirmation Watch for RSI crossing below 50 for bearish momentum confirmation Use the gradient color to quickly assess momentum direction Using OB/OS Strength: When OB Strength reaches 100%, all RSI lengths are overbought - strong reversal potential When OS Strength reaches 100%, all RSI lengths are oversold - strong bounce potential Partial readings (e.g., 50%) indicate mixed conditions across timeframes Heatmap Analysis: HOT readings combined with high RSI suggest overextension - caution for longs COLD readings combined with low RSI suggest oversold conditions - watch for reversal Use heatmap divergence from RSI for additional confirmation Channel Interpretation: Expanding upper channel with rising RSI confirms strong bullish momentum Expanding lower channel with falling RSI confirms strong bearish momentum Channel contraction suggests momentum is weakening Alert Conditions Six alert conditions are available: RSI Overbought: RSI crosses above overbought threshold RSI Oversold: RSI crosses below oversold threshold RSI Bullish Cross: RSI crosses above 50 RSI Bearish Cross: RSI crosses below 50 All RSI Overbought: Every RSI length is in overbought territory All RSI Oversold: Every RSI length is in oversold territory Best Practices Use on higher timeframes (1H, 4H, Daily) for more reliable signals Combine with price action analysis - RSI confirms, it does not predict Pay attention to OB/OS Strength percentages for conviction assessment The heatmap works best on assets with clear trending behavior Adjust min/max RSI lengths based on your trading style - wider range for smoother signals Limitations Like all oscillators, can remain in overbought/oversold territory during strong trends The heatmap regression may lag during rapid price movements Multi-length calculation requires more processing than single RSI Best suited for swing trading and position trading timeframes Technical Notes This indicator is written in Pine Script v6 and uses: Array-based calculations for efficient multi-length RSI computation Linear regression for heatmap deviation analysis Gradient coloring for intuitive visual feedback State management for dynamic channel calculations The source code is open and available for review and modification. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. -Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
RSI Trend Authority [JOAT]RSI Trend Authority - VAR-RSI with OTT Trend Detection System Introduction RSI Trend Authority is an open-source overlay indicator that combines Variable Index Dynamic Average (VAR) smoothed RSI with the Optimized Trend Tracker (OTT) to create a complete trend detection and signal generation system. Unlike traditional RSI which oscillates in a separate pane, this indicator scales the RSI to price and overlays it directly on your chart, making trend analysis more intuitive. The indicator generates clear BUY and SELL signals when the smoothed RSI crosses the OTT trailing stop line, providing actionable entry points with trend confirmation. Originality and Purpose This indicator is NOT a simple mashup of RSI and moving averages. It is an original implementation that transforms RSI into a trend-following overlay system: Why VAR Smoothing? Traditional RSI is noisy and produces many false signals. The Variable Index Dynamic Average (VAR) is an adaptive smoothing algorithm based on the Chande Momentum Oscillator principle. It adjusts its smoothing factor based on market conditions - responding quickly during trends and smoothing out during choppy markets. This creates an RSI that filters noise while preserving genuine momentum shifts. Why OTT Trailing Stop? The Optimized Trend Tracker (OTT) is a percentage-based trailing stop mechanism that only moves in the direction of the trend. When VAR-RSI crosses above OTT, a bullish trend is confirmed; when it crosses below, a bearish trend is confirmed. This provides clear, actionable signals rather than subjective interpretation. Price Scaling Innovation: By scaling RSI (0-100) to price using the formula (RSI * close / 50), the indicator overlays directly on the price chart. This allows traders to see how momentum relates to actual price levels, making trend analysis more intuitive than a separate oscillator pane. ATR Boundaries: Optional volatility-based boundaries show when price is extended relative to its normal range, helping identify potential reversal zones. How the components work together: VAR smoothing removes RSI noise while preserving trend information OTT provides a dynamic trailing stop that generates clear crossover signals Price scaling allows direct overlay on the chart for intuitive analysis ATR boundaries add volatility context for profit target estimation Core Components 1. VAR-RSI (Variable Index Dynamic Average RSI) The foundation of this indicator is the VAR smoothing algorithm applied to RSI. VAR is an adaptive moving average that adjusts its smoothing factor based on the Chande Momentum Oscillator principle: f_var_calc(float data, int length) => int a = 9 float b = data > nz(data ) ? data - nz(data ) : 0.0 float c = data < nz(data ) ? nz(data ) - data : 0.0 float d = math.sum(b, a) float e = math.sum(c, a) float f = nz((d - e) / (d + e)) float g = math.abs(f) float h = 2.0 / (length + 1) float x = ta.sma(data, length) This creates an RSI that: Responds quickly during trending conditions Smooths out during choppy, sideways markets Reduces false signals compared to raw RSI 2. OTT (Optimized Trend Tracker) The OTT acts as a dynamic trailing stop that follows the VAR-RSI: In uptrends, OTT trails below the VAR-RSI line In downtrends, OTT trails above the VAR-RSI line The OTT Percent parameter controls how closely it follows When VAR-RSI crosses above OTT, a bullish trend is confirmed. When VAR-RSI crosses below OTT, a bearish trend is confirmed. 3. Price Scaling The RSI (0-100 scale) is converted to price scale using: float scaleFactor = close / 50.0 float varRSIScaled = varRSI * scaleFactor This allows the indicator to overlay directly on price, showing how momentum relates to actual price levels. Visual Components VAR-RSI Line (Cyan/Magenta) The main indicator line with gradient coloring: Cyan gradient when RSI is above 50 (bullish) Magenta gradient when RSI is below 50 (bearish) Line thickness of 3 for clear visibility OTT Line (Yellow Circles) The trailing stop line displayed as circles: Acts as dynamic support in uptrends Acts as dynamic resistance in downtrends Crossovers generate trading signals Trend Fill The area between VAR-RSI and OTT is filled: Cyan fill during bullish trends Magenta fill during bearish trends Fill transparency allows price visibility Buy position and LONG on Dashboard with a Uptrend: ATR Boundaries (Optional) Dotted lines showing volatility-based price boundaries: Upper band: Close + (ATR x Multiplier) Lower band: Close - (ATR x Multiplier) Color matches current trend direction Buy/Sell Signals Clear labels appear at signal points: BUY label below bar when VAR-RSI crosses above OTT SELL label above bar when VAR-RSI crosses below OTT Additional glow circles highlight signal bars Bar Coloring Optional feature that colors price bars: Cyan bars during bullish trend Magenta bars during bearish trend Dashboard Panel The 8-row dashboard provides comprehensive status information: Signal: Current position - LONG or SHORT (large text) VAR-RSI: Current smoothed RSI value (large text) RSI State: OVERBOUGHT, OVERSOLD, BULLISH, or BEARISH OTT Trend: UPTREND or DOWNTREND based on OTT direction Bars Since: Number of bars since last signal Price: Current close price (large text) OTT Level: Current OTT trailing stop value Input Parameters RSI Settings: RSI Length: Period for RSI calculation (default: 100) Source: Price source (default: close) VAR Settings: VAR Length: Adaptive smoothing period (default: 50) OTT Settings: OTT Period: Trailing stop calculation period (default: 30) OTT Percent: Distance percentage for trailing stop (default: 0.2) ATR Trend Boundaries: Show ATR Boundaries: Toggle visibility (default: enabled) ATR Length: Period for ATR calculation (default: 14) ATR Multiplier: Distance multiplier (default: 2.0) Display Options: Show Buy/Sell Signals: Toggle signal labels (default: enabled) Show Status Table: Toggle dashboard (default: enabled) Table Position: Choose corner placement Color Bars by Trend: Toggle bar coloring (default: enabled) Color Scheme: Bullish Color: Main bullish color (default: cyan) Bearish Color: Main bearish color (default: magenta) OTT Line: Trailing stop color (default: yellow) VAR-RSI Line: Main line color (default: teal) ATR colors for boundaries How to Use RSI Trend Authority Signal-Based Trading: Enter LONG when BUY signal appears (VAR-RSI crosses above OTT) Enter SHORT when SELL signal appears (VAR-RSI crosses below OTT) Use the OTT line as a trailing stop reference Trend Confirmation: Cyan fill indicates bullish trend - favor long positions Magenta fill indicates bearish trend - favor short positions Check RSI State in dashboard for momentum context Using the Dashboard: Monitor "Bars Since" to assess signal freshness Check RSI State for overbought/oversold warnings Use OTT Level as a reference for stop placement ATR Boundaries: Price near upper ATR band in uptrend suggests extension Price near lower ATR band in downtrend suggests extension Boundaries help identify potential reversal zones Parameter Optimization For Faster Signals: Decrease RSI Length (try 50-80) Decrease VAR Length (try 30-40) Decrease OTT Period (try 15-25) For Smoother Signals: Increase RSI Length (try 120-150) Increase VAR Length (try 60-80) Increase OTT Period (try 40-50) For Tighter Stops: Decrease OTT Percent (try 0.1-0.15) For Wider Stops: Increase OTT Percent (try 0.3-0.5) Alert Conditions Three alert conditions are available: Buy Signal: VAR-RSI crosses above OTT Sell Signal: VAR-RSI crosses below OTT Trend Change: OTT direction changes Understanding the OTT Calculation The OTT uses a percentage-based trailing mechanism: float farkOTT = mavgOTT * ottPercent * 0.01 float longStopCalc = mavgOTT - farkOTT float shortStopCalc = mavgOTT + farkOTT longStop := mavgOTT > nz(longStop ) ? math.max(longStopCalc, nz(longStop )) : longStopCalc shortStop := mavgOTT < nz(shortStop ) ? math.min(shortStopCalc, nz(shortStop )) : shortStopCalc This ensures the trailing stop only moves in the direction of the trend, never against it. Best Practices Use on 1H timeframe or higher for more reliable signals Wait for signal confirmation before entering trades Consider RSI State when evaluating signal quality Use ATR boundaries for profit target estimation The longer RSI length (100) provides smoother trend detection Combine with support/resistance analysis for better entries Limitations Signals may lag during rapid price movements due to smoothing Works best in trending markets; may whipsaw in ranges The overlay nature means RSI values are scaled, not absolute Default parameters are optimized for crypto and forex; adjust for other markets Technical Notes This indicator is written in Pine Script v6 and uses: VAR (Variable Index Dynamic Average) for adaptive smoothing OTT (Optimized Trend Tracker) for trailing stop calculation ATR for volatility-based boundaries Gradient coloring for intuitive trend visualization The source code is open and available for review and modification. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. -Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
6
RSI Fibonacci Flow [JOAT]RSI Fibonacci Flow - Advanced Fibonacci Retracement with RSI Confluence Introduction RSI Fibonacci Flow is an open-source overlay indicator that combines automatic Fibonacci retracement levels with RSI momentum analysis to identify high-probability trading zones. The indicator automatically detects swing highs and lows, draws Fibonacci levels, and generates confluence signals when RSI conditions align with key Fibonacci zones. This indicator is designed for traders who use Fibonacci retracements but want additional confirmation from momentum analysis before entering trades. Originality and Purpose This indicator is NOT a simple mashup of RSI and Fibonacci tools. It is an original implementation that creates a synergistic relationship between two complementary analysis methods: Why Combine RSI with Fibonacci? Fibonacci retracements identify WHERE price might reverse, but they don't tell you WHEN. RSI provides the timing component by showing momentum exhaustion. When price reaches the Golden Zone (50%-61.8%) AND RSI shows oversold conditions, the probability of a successful bounce increases significantly. Original Confluence Scoring System: The indicator calculates a 0-5 confluence score that weights multiple factors: Golden Zone presence (+2), entry zone presence (+1), RSI extreme alignment (+1), RSI divergence (+1), and strong RSI momentum (+1). This scoring system is original to this indicator. Automatic Pivot Detection: Unlike manual Fibonacci tools, this indicator automatically detects swing highs and lows using a configurable pivot algorithm, then draws Fibonacci levels accordingly. The pivot detection uses a center-bar comparison method that checks if a bar's high/low is the highest/lowest within the specified depth on both sides. Dynamic Trend Awareness: The indicator determines trend direction based on pivot sequence (last pivot was high or low) and adjusts Fibonacci orientation accordingly. In uptrends, 0% is at swing low; in downtrends, 0% is at swing high. Each component serves a specific purpose: Fibonacci levels identify potential reversal zones based on natural price ratios RSI provides momentum context to filter out low-probability setups Confluence scoring quantifies setup quality for position sizing decisions Automatic pivot detection removes subjectivity from level placement Core Concept: RSI-Fibonacci Confluence The most powerful trading setups occur when multiple factors align. RSI Fibonacci Flow identifies these moments by: Automatically detecting price pivots and drawing Fibonacci levels Tracking which Fibonacci zone the current price occupies Monitoring RSI for overbought/oversold conditions Generating signals when RSI extremes coincide with key Fibonacci levels Scoring confluence strength on a 0-5 scale When price reaches the Golden Zone (50%-61.8%) while RSI shows oversold conditions in an uptrend, the probability of a bounce increases significantly. Fibonacci Levels Explained The indicator draws nine Fibonacci levels based on the most recent swing: 0% (Swing Low/High): The starting point of the move 23.6%: Shallow retracement - often seen in strong trends 38.2%: First significant support/resistance level 50%: Psychological midpoint of the move 61.8% (Golden Ratio): The most important Fibonacci level 78.6%: Deep retracement - last defense before trend failure 100% (Swing High/Low): The end point of the move 127.2% (TP1): First extension target for take profit 161.8% (TP2): Second extension target for take profit The Golden Zone The area between 50% and 61.8% is highlighted as the "Golden Zone" because: It represents the optimal retracement depth for trend continuation Institutional traders often place orders in this zone It offers favorable risk-to-reward ratios Price frequently bounces from this area in healthy trends When price enters the Golden Zone, the indicator highlights it with a semi-transparent box and optional background coloring. Pivot Detection System The indicator uses a configurable pivot detection algorithm: pivotDetect(float src, int len, bool isHigh) => int halfLen = len / 2 float centerVal = nz(src , src) bool isPivot = true for i = 0 to len - 1 if isHigh if nz(src , src) > centerVal isPivot := false break else if nz(src , src) < centerVal isPivot := false break isPivot ? centerVal : float(na) This identifies swing highs and lows by checking if a bar's high/low is the highest/lowest within the specified depth on both sides. Visual Components 1. Fibonacci Lines Horizontal lines at each Fibonacci level: Solid lines for major levels (0%, 50%, 61.8%, 100%) Dashed lines for secondary levels (23.6%, 38.2%, 78.6%) Dotted lines for extension levels (127.2%, 161.8%) Color-coded for easy identification Configurable line width 2. Fibonacci Labels Price labels at each level showing: Fibonacci percentage Actual price at that level Golden Zone label highlighted TP1 and TP2 labels for targets 3. Golden Zone Box A semi-transparent box highlighting the 50%-61.8% zone: Gold colored border and fill Extends from swing start to current bar (or beyond if extended) Provides clear visual of the optimal entry zone 4. ZigZag Lines Connecting lines between detected pivots: Cyan for moves from low to high Orange for moves from high to low Helps visualize market structure Configurable line width 5. Pivot Markers Small labels at detected swing points: "HH" (Higher High) at swing highs "LL" (Lower Low) at swing lows Helps track market structure 6. Entry Signals BUY and SELL labels when confluence conditions are met: BUY: RSI oversold + price in entry zone + uptrend + positive momentum SELL: RSI overbought + price in entry zone + downtrend + negative momentum Labels include "RSI+FIB" to indicate confluence Confluence Scoring System The indicator calculates a confluence score from 0 to 5: +2 points: Price is in the Golden Zone (50%-61.8%) +1 point: Price is in the entry zone (38.2%-61.8%) +1 point: RSI is oversold in uptrend OR overbought in downtrend +1 point: RSI divergence detected (bullish or bearish) +1 point: Strong RSI momentum (change > 2 points) Confluence ratings: STRONG (4-5): Multiple factors align - high probability setup MODERATE (2-3): Some factors align - proceed with caution WEAK (0-1): Few factors align - wait for better setup Dashboard Panel The 10-row dashboard provides comprehensive analysis: RSI Value: Current RSI reading (large text) RSI State: OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL Fib Trend: UPTREND or DOWNTREND based on last pivot sequence Price Zone: Current Fibonacci zone (e.g., "GOLDEN ZONE", "38.2% - 50%") Price: Current close price (large text) Confluence: Score rating with numeric value (e.g., "STRONG (4/5)") Nearest Fib: Closest key Fibonacci level with price TP1 (127.2%): First take profit target price TP2 (161.8%): Second take profit target price Input Parameters Pivot Detection: Pivot Depth: Bars to look back for swing detection (default: 10) Min Deviation %: Minimum price move to confirm pivot (default: 1.0) RSI Settings: RSI Length: Period for RSI calculation (default: 14) Source: Price source (default: close) Overbought: Upper threshold (default: 70) Oversold: Lower threshold (default: 30) Fibonacci Display: Show Fib Lines: Toggle Fibonacci lines (default: enabled) Show Fib Labels: Toggle price labels (default: enabled) Show Golden Zone Box: Toggle zone highlight (default: enabled) Line Width: Thickness of Fibonacci lines (default: 2) Extend Fib Lines: Extend lines into future (default: enabled) ZigZag: Show ZigZag: Toggle connecting lines (default: enabled) ZigZag Width: Line thickness (default: 2) Signals: Show Entry Signals: Toggle BUY/SELL labels (default: enabled) Show TP Levels: Toggle take profit in dashboard (default: enabled) Show RSI-Fib Confluence: Toggle confluence analysis (default: enabled) Dashboard: Show Dashboard: Toggle information panel (default: enabled) Position: Choose corner placement Colors: Bullish: Color for bullish elements (default: cyan) Bearish: Color for bearish elements (default: orange) Neutral: Color for neutral elements (default: gray) Golden Zone: Color for Golden Zone highlight (default: gold) How to Use RSI Fibonacci Flow Identifying Entry Zones: Wait for price to retrace to the 38.2%-61.8% zone Check if RSI is approaching oversold (for longs) or overbought (for shorts) Look for STRONG confluence rating in the dashboard Enter when BUY or SELL signal appears Setting Take Profit Targets: TP1 at 127.2% extension for conservative target TP2 at 161.8% extension for aggressive target Consider scaling out at each level Using the Price Zone: "BELOW 23.6%" - Price hasn't retraced much; wait for deeper pullback "23.6% - 38.2%" - Shallow retracement; strong trend continuation possible "38.2% - 50%" - Good entry zone for trend trades "GOLDEN ZONE" - Optimal entry zone; highest probability "61.8% - 78.6%" - Deep retracement; trend may be weakening "78.6% - 100%" - Very deep; trend reversal possible "ABOVE/BELOW 100%" - Trend has likely reversed Confluence Trading Strategy: Only take trades with confluence score of 3 or higher STRONG confluence (4-5) warrants larger position size MODERATE confluence (2-3) warrants smaller position size WEAK confluence (0-1) - wait for better setup Alert Conditions Ten alert conditions are available: RSI-Fib BUY Signal: Strong bullish confluence detected RSI-Fib SELL Signal: Strong bearish confluence detected Price in Golden Zone: Price enters 50%-61.8% zone New Pivot High: Swing high detected New Pivot Low: Swing low detected RSI Overbought: RSI crosses above overbought threshold RSI Oversold: RSI crosses below oversold threshold Bullish Divergence: Potential bullish RSI divergence Bearish Divergence: Potential bearish RSI divergence Strong Confluence: Confluence score reaches 4 or higher Understanding Trend Direction The indicator determines trend based on pivot sequence: UPTREND: Last pivot was a low after a high (expecting move up) DOWNTREND: Last pivot was a high after a low (expecting move down) Fibonacci levels are drawn accordingly: In uptrend: 0% at swing low, 100% at swing high In downtrend: 0% at swing high, 100% at swing low Bar Coloring When confluence features are enabled: Cyan bars on strong bullish signals Orange bars on strong bearish signals Gold-tinted bars when price is in Golden Zone Best Practices Use on 1H timeframe or higher for more reliable pivots Adjust Pivot Depth based on timeframe (higher for longer timeframes) Wait for price to enter Golden Zone before considering entries Confirm RSI is in favorable territory before trading Use extension levels (127.2%, 161.8%) for realistic profit targets Combine with support/resistance and candlestick patterns Higher confluence scores indicate higher probability setups Limitations Pivot detection has inherent lag (must wait for confirmation) Fibonacci levels are subjective - different swings produce different levels Works best in trending markets with clear swings RSI can remain overbought/oversold in strong trends Not all Golden Zone entries will be successful The source code is open and available for review and modification. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Fibonacci levels are not guaranteed support/resistance - they are probability zones based on historical price behavior. Always conduct your own analysis and use proper risk management. - Made with passion by officialjackofalltrades :D
Indikator Pine Script®
oleh officialjackofalltrades
7
Red Bull Wings [JOAT]RED BULL WINGS - Bullish-Only Institutional Overlay Introduction and Purpose RED BULL WINGS is an open-source overlay indicator that combines five distinct bullish detection methods into a single composite scoring system. The core problem this indicator solves is that individual bullish signals (patterns, volume, zones, trendlines) often disagree or fire in isolation. A bullish engulfing pattern means little if volume is weak and price is far from support. Traders need confluence across multiple dimensions to identify high-probability setups. This indicator addresses that by scoring each bullish component separately, then combining them into a weighted WINGS score (0-100) that reflects overall bullish conviction. When multiple components align, the score rises; when they disagree, the score stays low. Why These Five Modules Work Together Each module measures a different aspect of bullish market structure: 1. Module A - Bullish Candlestick Engine - Detects classic reversal patterns (engulfing, marubozu, hammer, 3-bar cluster). These patterns identify WHERE buyers are stepping in. 2. Module B - PVSRA Volume Climax - Measures spread x volume to detect institutional participation. This tells you WHETHER smart money is involved. 3. Module C - Demand Zone Detection - Identifies and tracks order block zones where buyers previously overwhelmed sellers. This shows you WHERE institutional support exists. 4. Module D - Trendline Channel - Builds dynamic support/resistance from pivot points. This reveals the STRUCTURE of the current trend. 5. Module E - Ichimoku Assist - Optional filter using Tenkan/Kijun cross, cloud position, and Chikou confirmation. This provides TREND PERMISSION context. The combination works because: Patterns alone can fail without volume confirmation Volume alone means nothing without price structure context Zones alone are static without pattern/volume triggers Trendlines alone miss the micro-level entry timing When 3+ modules agree, the probability of a valid bullish setup increases significantly How the Calculations Work Module A - Pattern Detection: Bullish Engulfing - Current bullish bar completely engulfs prior bearish bar: bool engulfingCond = isBullish() and isBearish() and open <= close and close >= open and bodySize() > bodySize() Marubozu - Strong body with minimal wicks (body >= 1.8x average, wick ratio < 20%): float wickRatio = candleRange() > 0 ? (upperWick() + lowerWick()) / candleRange() : 0 bool marubozuCond = isBullish() and bodySize() >= bodySizeAvg * i_maruMult and wickRatio < i_wickRatioMax Hammer - Long lower wick (>= 2.5x body), close in upper third, volume confirmation: bool hammerWick = lowerWick() >= i_hammerWickMult * bodySize() bool hammerClose = close >= low + (candleRange() * 0.66) bool hammerVol = volume >= i_pvsraRisingMult * volAvg 3-Bar Cluster - Three consecutive bullish closes with increasing prices and volume spike: bool threeBarBullish = isBullish() and isBullish() and isBullish() bool increasingCloses = close > close and close > close bool volSpike3Bar = volume >= i_pvsraRisingMult * volAvg or volume >= i_pvsraRisingMult * volAvg Module B - PVSRA Volume Analysis: Uses spread x volume to detect climax conditions: float spreadVol = candleRange() * volume float maxSpreadVol = ta.highest(spreadVol, ADJ_PVSRA_LOOKBACK) bool volClimax = volume >= i_pvsraClimaxMult * volAvg or spreadVol >= maxSpreadVol bool volRising = volume >= i_pvsraRisingMult * volAvg and volume < i_pvsraClimaxMult * volAvg Volume only scores when the candle is bullish, preventing false signals on bearish volume spikes. Module C - Demand Zone Detection: Identifies zones using a two-candle structure: // Small bearish candle A followed by larger bullish candle B bool candleA_bearish = isBearish() bool candleB_bullish = isBullish() bool newZoneCond = candleA_bearish and candleB_bullish and candleB_size >= i_zoneSizeMult * candleA_size Zones are drawn as rectangles and tracked for retests. Score increases when price is near or inside an active zone, with bonus points for rejection candles. Module D - Trendline Channel: Builds dynamic channel from confirmed pivot points: float ph = ta.pivothigh(high, i_pivotLeft, i_pivotRight) float pl = ta.pivotlow(low, i_pivotLeft, i_pivotRight) Pivots are stored and connected to form upper/lower channel lines. The indicator detects breakouts when price closes beyond the channel with volume confirmation. Module E - Ichimoku Assist: Standard Ichimoku calculations with bullish scoring: float tenkan = (ta.highest(high, i_tenkanLen) + ta.lowest(low, i_tenkanLen)) / 2 float kijun = (ta.highest(high, i_kijunLen) + ta.lowest(low, i_kijunLen)) / 2 bool tkCross = ta.crossover(tenkan, kijun) bool priceAboveCloud = close > cloudTop bool chikouAbovePrice = chikou > close Module F - WINGS Composite Score: All module scores are combined using adjustable weights: float WINGS_score = 100 * (nW_pattern * S_pattern + nW_volume * S_vol + nW_zone * S_zone + nW_trend * S_trend + nW_ichi * S_ichi) Default weights: Pattern 30%, Volume 25%, Zone 20%, Trend 15%, Ichimoku 10%. Signal Thresholds WATCH (30-49) - Interesting bullish context forming, not yet actionable MOMENTUM (50-74) - Strong bullish conditions, multiple modules agreeing LIFT-OFF (75+) - High-confidence bullish confluence across most modules WINGS Badge (Dashboard) The right-side panel displays: WINGS Score - Current composite score (0-100) Pattern - Active pattern name and strength, or neutral placeholder Volume - Normal / Rising / CLIMAX status Zone - ACTIVE if price is near a demand zone Trend - Channel position or BREAK status Ichimoku - OFF / Weak / Bullish / STRONG Status - Overall signal level (Neutral / WATCH / MOMENTUM / LIFT-OFF) Input Parameters Module Toggles: Enable Bullish Patterns (true) - Toggle pattern detection Enable PVSRA Volume (true) - Toggle volume analysis Enable Order Blocks (true) - Toggle demand zone detection Enable Trendlines (true) - Toggle pivot channel Enable Ichimoku Assist (false) - Toggle Ichimoku filter (off by default for performance) Enable Visual Effects (false) - Toggle labels, trails, and visual elements LIVE MODE (false) - Enable intrabar signals (WARNING: signals may repaint) Pattern Engine: Pattern Lookback (5) - Bars for body size averaging Marubozu Body Multiplier (1.8) - Minimum body size vs average Hammer Wick Multiplier (2.5) - Minimum lower wick vs body Max Wick Ratio (0.2) - Maximum wick percentage for marubozu Volume / PVSRA: PVSRA Lookback (10) - Period for volume averaging Climax Multiplier (2.0) - Volume threshold for climax detection Rising Volume Multiplier (1.5) - Volume threshold for rising detection Order Blocks: Zone Size Multiplier (2.0) - Minimum bullish candle size vs bearish Zone Extend Bars (200) - How far zones project forward Max Zones (12) - Maximum active zones displayed Remove Zone on Close Below (true) - Delete broken zones Trendlines: Pivot Left/Right Bars (3/3) - Pivot detection sensitivity Min Slope % (0.25) - Minimum trendline angle Max Trendlines (5) - Maximum pivot points stored Trendline Projection Bars (60) - Forward projection distance Ichimoku: Tenkan Length (9) - Conversion line period Kijun Length (26) - Base line period Senkou B Length (52) - Leading span B period Displacement (26) - Cloud displacement WINGS Score: Weight: Pattern (0.30) - Pattern contribution to score Weight: Volume (0.25) - Volume contribution to score Weight: Zone (0.20) - Zone contribution to score Weight: Trend (0.15) - Trendline contribution to score Weight: Ichimoku (0.10) - Ichimoku contribution to score Lift-Off Threshold (75) - Score required for LIFT-OFF signal Momentum Watch Threshold (50) - Score required for MOMENTUM signal Visuals: Signal Cooldown (8) - Minimum bars between labels Show WINGS Score Badge (true) - Toggle dashboard Show Wing Combos (true) - Show DOUBLE/MEGA WINGS streaks Red Background Wash (true) - Tint chart background Show Lift-Off Trails (false) - Toggle golden trail visuals How to Use This Indicator For Bullish Entry Identification: 1. Monitor the WINGS badge for score changes 2. Wait for MOMENTUM (50+) or LIFT-OFF (75+) signals 3. Check which modules are contributing (Pattern + Volume + Zone = stronger) 4. Use demand zones and trendlines as structural reference for entries For Confluence Confirmation: 1. Use alongside your existing analysis 2. LIFT-OFF signals indicate multiple bullish factors aligning 3. Low scores (< 30) suggest weak bullish context even if one factor looks good For Zone-Based Trading: 1. Watch for price approaching active demand zones 2. Look for pattern + volume confirmation at zone retests 3. Zone score increases with successful retests For Trendline Analysis: 1. Monitor the pivot-based channel for trend structure 2. Breakouts with volume confirmation trigger TREND BREAK alerts 3. Price inside channel with bullish patterns = trend continuation setup 1M and lower timeframes: Alerts Available LIFT-OFF - High-confidence bullish confluence MOMENTUM - Strong bullish conditions Zone Retest - Bullish rejection from demand zone Trendline Break - Breakout with volume confirmation Individual patterns (Engulfing, Marubozu, Hammer, 3-Bar Cluster) Volume Climax - Institutional volume spike DOUBLE WINGS / MEGA WINGS - Consecutive lift-off signals Repainting Behavior By default, the indicator uses confirmed bars only (barstate.isconfirmed), meaning signals appear after the bar closes and do not repaint. However: LIVE MODE - When enabled, signals can appear intrabar but may disappear if conditions change before bar close. A warning label displays when LIVE MODE is active. Trendlines - Pivot detection requires lookback bars, so the most recent trendline segments may adjust as new pivots confirm. This is inherent to pivot-based analysis. Demand Zones - Zones are created on confirmed bars and do not repaint, but they can be removed if price closes below the zone bottom (configurable). Live Mode with 'Enable Visual Effect' turned off in settings: Limitations This is a bullish-only indicator. It does not detect bearish setups or provide short signals. The WINGS score is a confluence measure, not a prediction. High scores indicate favorable conditions, not guaranteed outcomes. Pattern detection uses simplified logic. Not all candlestick nuances are captured. Volume analysis requires reliable volume data. Results may vary on instruments with inconsistent volume reporting. Ichimoku calculations add processing overhead. Disable if not needed. Demand zones are based on a specific two-candle structure. Other valid zones may not be detected. Trendlines use linear regression between pivots. Curved or complex channels are not supported. Timeframe Recommendations 15m-1H: More frequent signals, useful for intraday analysis. Higher noise. 4H-Daily: Best balance of signal quality and frequency for swing trading. Weekly: Fewer but more significant signals for position trading. Adjust lookback periods and thresholds based on your timeframe. Shorter timeframes may benefit from shorter lookbacks. Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each module works. This indicator does not constitute financial advice. The WINGS score and signals do not guarantee profitable trades. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. Test thoroughly on your preferred instruments and timeframes before using in live trading. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Zenith MACD Evolution [JOAT] Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator Introduction and Purpose Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one. This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions. Why ATR Normalization Works Traditional MACD problems: - Values vary wildly based on price and volatility - No consistent overbought/oversold levels - Hard to compare across different instruments - Extreme readings in one period may be normal in another ATR-normalized MACD (Zenith) solves these: - Values scaled to consistent range - Fixed overbought/oversold levels work across all conditions - Comparable across different instruments - Extreme readings are truly extreme regardless of volatility How the Normalization Works // Classic MACD = ta.macd(close, fastLength, slowLength, signalLength) // ATR for normalization float atrValue = ta.atr(atrNormLength) // Volatility-Normalized MACD float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0 float zenithSignal = ta.ema(zenithMACD, signalLength) The result is a MACD that typically ranges from -200 to +200, with consistent levels: - Above +150 = Overbought - Below -150 = Oversold - Above +200 = Extreme overbought - Below -200 = Extreme oversold Signal Types Zero Cross Up/Down - Zenith crosses zero line (trend change) Overbought/Oversold Entry - Zenith enters extreme zones Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal) Momentum Shift - Histogram direction changes (early warning) Divergence - Price makes new high/low but Zenith does not Histogram Coloring The histogram uses four colors to show momentum state: - Strong Bull (Teal) - Positive and rising - Weak Bull (Light Teal) - Positive but falling - Strong Bear (Red) - Negative and falling - Weak Bear (Light Red) - Negative but rising This helps identify momentum shifts before crossovers occur. Dashboard Information Zenith - Current normalized MACD value with signal line Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS) Momentum - Direction (RISING/FALLING/FLAT) Histogram - Current histogram value ATR Norm - Current ATR value used for normalization Classic - Traditional MACD value for reference How to Use This Indicator For Mean-Reversion: 1. Wait for Zenith to reach extreme zones (+200/-200) 2. Look for momentum shift (histogram color change) 3. Enter counter-trend when exiting extreme zone For Trend Following: 1. Enter long on zero cross up 2. Enter short on zero cross down 3. Use histogram color to gauge momentum strength For Divergence Trading: 1. Watch for DIV labels (price vs Zenith divergence) 2. Bullish divergence at support = potential long 3. Bearish divergence at resistance = potential short Input Parameters Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters ATR Normalization Period (26) - Period for ATR calculation Overbought/Oversold Zone (150/-150) - Zone thresholds Extreme Level (200) - Extreme threshold Show Classic MACD Lines (false) - Toggle traditional lines Show Divergence Detection (true) - Toggle divergence signals Divergence Lookback (14) - Bars to scan for divergence Timeframe Recommendations All timeframes work due to normalization Higher timeframes provide smoother signals Normalization makes cross-timeframe comparison meaningful Limitations ATR normalization adds slight lag Divergence detection is simplified Extreme zones can persist in strong trends Works best when combined with price action analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System Introduction and Purpose Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening. This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades. Why These Components Work Together Each component measures trend from a different perspective: 1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance. 2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum. 3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through. 4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation. 5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction. How the Trend Score Works float trendScore = 0.0 // Cloud position (+2/-2) trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0 // TK relationship (+1/-1) trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0 // Lagging span (+1/-1) trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0 // Vortex (+1.5/-1.5) trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0 // Base direction (+0.5/-0.5) trendScore += baseDirection * 0.5 Score ranges from approximately -6 to +6: - +4 or higher = STRONG BULL - +2 to +4 = BULL - -2 to +2 = NEUTRAL - -4 to -2 = BEAR - -4 or lower = STRONG BEAR Signal Types TK Cross Up/Down - Conversion line crosses Base line (momentum shift) Base Direction Change - Base line changes direction (medium-term shift) Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence) Dashboard Information Trend - Overall status with composite score Cloud - Price position (ABOVE/BELOW/INSIDE) TK Cross - Conversion vs Base relationship Lagging - Lagging span bias Vortex - VI+/VI- relationship VI+/VI- - Individual vortex values How to Use This Indicator For Trend Following: 1. Enter long when trend score reaches +4 or higher (STRONG BULL) 2. Enter short when trend score reaches -4 or lower (STRONG BEAR) 3. Use cloud as dynamic support/resistance for entries For Momentum Timing: 1. Watch for TK Cross signals for entry timing 2. Base direction changes indicate medium-term shifts 3. Vortex confirmation adds conviction For Risk Management: 1. Exit when trend score drops to neutral 2. Use cloud edges as stop-loss references 3. Reduce position when score weakens Input Parameters Conversion Period (9) - Fast equilibrium line Base Period (26) - Slow equilibrium line Lead Span Period (52) - Cloud projection period Displacement (26) - Cloud and lagging span offset Vortex Period (14) - Period for vortex calculation VI+ Strength (1.10) - Threshold for strong bullish vortex VI- Strength (0.90) - Threshold for strong bearish vortex Timeframe Recommendations 4H-Daily: Best for equilibrium-based analysis 1H: Good for intraday trend following Lower timeframes may require adjusted periods Limitations Equilibrium calculations have inherent lag Cloud displacement means signals are delayed Works best in trending markets May whipsaw in ranging conditions Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Sentinel Market Structure [JOAT] Sentinel Market Structure - Smart Money Structure Analysis Introduction and Purpose Sentinel Market Structure is an open-source overlay indicator that identifies swing highs/lows, tracks market structure (HH/HL/LH/LL), detects Break of Structure (BOS) and Change of Character (CHoCH) signals, and marks order blocks. The core problem this indicator solves is that retail traders often miss structural shifts that smart money traders use to identify trend changes. This indicator addresses that by automatically tracking market structure and alerting traders to key structural breaks that often precede significant moves. Why These Components Work Together Each component provides different structural information: 1. Swing Detection - Identifies significant pivot highs and lows. These are the building blocks of market structure. 2. Structure Labels (HH/HL/LH/LL) - Classifies each swing relative to the previous swing. Higher Highs + Higher Lows = uptrend. Lower Highs + Lower Lows = downtrend. 3. Break of Structure (BOS) - Identifies when price breaks a swing level in the direction of the trend. This is a continuation signal. 4. Change of Character (CHoCH) - Identifies when price breaks a swing level against the trend. This is a potential reversal signal. 5. Order Blocks - Marks the last opposing candle before an impulse move. These zones often act as future support/resistance. How the Detection Works Swing Detection: bool swingHighDetected = high == ta.highest(high, swingLength * 2 + 1) bool swingLowDetected = low == ta.lowest(low, swingLength * 2 + 1) BOS vs CHoCH Logic: // BOS: Break in direction of trend (continuation) bool bullishBOS = close > lastSwingHigh and marketTrend >= 0 // CHoCH: Break against trend (reversal signal) bool bullishCHOCH = close > lastSwingHigh and marketTrend < 0 Order Block Detection: bool bullOB = close < open and // Previous candle bearish close > open and // Current candle bullish close > high and // Breaking above (high - low) > ta.atr(14) * 1.5 // Strong impulse Signal Types HH (Higher High) - Swing high above previous swing high (bullish structure) HL (Higher Low) - Swing low above previous swing low (bullish structure) LH (Lower High) - Swing high below previous swing high (bearish structure) LL (Lower Low) - Swing low below previous swing low (bearish structure) BOS↑/BOS↓ - Break of structure in trend direction (continuation) CHoCH↑/CHoCH↓ - Change of character against trend (potential reversal) Dashboard Information Trend - Current market bias (BULLISH/BEARISH/NEUTRAL) Swing High - Last swing high price with HH/LH label Swing Low - Last swing low price with HL/LL label Structure - Current structure state (HH+HL, LH+LL, etc.) Price - Price position relative to structure How to Use This Indicator For Trend Following: 1. Identify trend using structure (HH+HL = uptrend, LH+LL = downtrend) 2. Enter on BOS signals in trend direction 3. Use swing levels for stop placement For Reversal Trading: 1. Watch for CHoCH signals (break against trend) 2. Confirm with order block formation 3. Enter on retest of order block zone For Risk Management: 1. Place stops beyond swing highs/lows 2. Use structure lines as trailing stop references 3. Exit when CHoCH signals against your position Input Parameters Swing Detection Length (5) - Bars on each side for pivot detection Show Swing High/Low Points (true) - Toggle swing markers Show BOS/CHoCH (true) - Toggle structural break signals Show Structure Lines (true) - Toggle horizontal swing lines Show Order Blocks (true) - Toggle order block zones Zone Extension (50) - How far order block boxes extend Timeframe Recommendations 15m-1H: Good for intraday structure analysis 4H-Daily: Best for swing trading structure Lower timeframes require smaller swing detection length Limitations Swing detection has inherent lag (needs confirmation bars) Not all BOS/CHoCH signals lead to continuation/reversal Order block zones are simplified (not full ICT methodology) Structure analysis is subjective - different traders see different swings Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Market structure analysis does not guarantee trade outcomes. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Quantum Candle Scanner [JOAT] Quantum Candle Scanner - Advanced Multi-Pattern Recognition System Introduction and Purpose Quantum Candle Scanner is an open-source overlay indicator that detects multiple candlestick patterns including engulfing patterns, kicker patterns, inside bar setups, momentum candles, and higher-high/lower-low sequences. The core problem this indicator solves is that traders often miss patterns because they're looking for only one type. Different patterns work better in different market conditions. This indicator addresses that by scanning for five distinct pattern types simultaneously, giving traders a comprehensive view of price action signals. Why These Five Pattern Types Work Together Each pattern type identifies different market behavior: 1. Engulfing Patterns - Classic reversal signals where current candle completely engulfs the previous candle. Best for identifying potential turning points. 2. Kicker Patterns - Strong reversal signals with gap confirmation. The current candle opens beyond the previous candle's open with opposite direction. Best for identifying high-momentum reversals. 3. Inside Bar Patterns - Consolidation breakout signals where a candle's range is contained within the previous candle, followed by a breakout. Best for identifying compression before expansion. 4. Momentum Candles - Identifies the largest body candle over a lookback period. Best for spotting institutional activity. 5. HH/HL and LH/LL Sequences - Three-bar structure patterns showing trend continuation. Best for confirming trend direction. How the Detection Works Engulfing Pattern: bool engulfBullBase = open <= math.min(close , open ) and close >= math.max(close , open ) and isBullish(0) and getBodyPct(0) > bodyMinPct Kicker Pattern: bool kickerBull = isBearish(1) and isBullish(0) and open > open and low > low and getBodyPct(0) > 40 and getBodyPct(1) > 40 Inside Bar: bool insideBarSetup = low < low and high > high bool insideBarBull = insideBarSetup and isBullish(0) HH/HL Sequence: bool hhhlSeq = high > high and low > low and high > high and low > low and close > close Optional Filters ATR Filter - Only shows patterns where candle body exceeds ATR (strong candles only) Body Minimum % - Requires minimum body percentage for engulfing patterns Close Beyond Prior H/L - Requires engulfing candle to close beyond prior high/low Dashboard Information Engulfing - Total engulfing patterns detected Kicker - Kicker pattern count Inside Bar - Inside bar breakout count HH/LL Seq - Structure sequence count Total - Combined pattern count How to Use This Indicator For Reversal Trading: 1. Look for engulfing or kicker patterns at key support/resistance 2. Confirm with HH/HL or LH/LL sequence breaking 3. Enter with stop beyond the pattern For Breakout Trading: 1. Identify inside bar setups (consolidation) 2. Enter on breakout candle in direction of break 3. Use the inside bar range for stop placement For Trend Confirmation: 1. Use HH/HL sequences to confirm uptrend structure 2. Use LH/LL sequences to confirm downtrend structure 3. Momentum candles indicate institutional participation Input Parameters Detect Engulfing/Kicker/Inside Bar/Momentum/HHLL (all true) - Toggle each pattern type Min Body % for Engulfing (0) - Minimum body percentage ATR Filter (false) - Only show strong candles Engulf Must Close Beyond Prior H/L (true) - Stricter engulfing definition Compact Mode (false) - Shorter labels for cleaner charts Timeframe Recommendations 1H-Daily: Best for reliable pattern detection 15m-30m: More patterns but higher noise Use Compact Mode on lower timeframes Limitations Pattern detection is mechanical and does not consider context Not all patterns lead to successful trades Kicker patterns are rare but powerful Inside bar breakouts can fail (false breakouts) Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Pattern detection does not guarantee trade outcomes. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Pulse Volume Commitment [JOAT] Pulse Volume Commitment - Three-Dimensional Momentum Analysis Introduction and Purpose Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume. This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction. Why These Three Dimensions Work Together Each dimension measures a different aspect of market conviction: 1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle. 2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving. 3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved. When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable. How the Calculations Work Quantity Analysis: int greenCount = 0 int redCount = 0 for i = 0 to lookbackPeriod - 1 if close > open greenCount += 1 if close < open redCount += 1 bool quantityBull = greenCount > redCount Quality Analysis (body-to-range scoring): for i = 0 to lookbackPeriod - 1 float candleBody = close - open // Signed (positive = bull) float candleRange = high - low float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0 sumBodyQuality += bodyQuality bool qualityBull = sumBodyQuality > 0 Signal Types FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment) FULL BEAR - All three dimensions bearish LEAN BULL/BEAR - 2 of 3 dimensions agree MIXED - No clear consensus STRONG BUY/SELL - Full confluence + ADX confirms trending market ADX Integration The indicator includes ADX (Average Directional Index) to filter signals: - ADX >= 20 = TRENDING market (signals more reliable) - ADX < 20 = RANGING market (signals may whipsaw) Strong signals only trigger when full confluence occurs in a trending environment. Dashboard Information Quantity - BULL/BEAR/FLAT with green/red candle ratio Quality - Directional bias based on body quality scoring Commit - Volume-weighted commitment reading ADX - Trend strength (TRENDING/RANGING) Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED) Action - STRONG BUY/STRONG SELL/WAIT How to Use This Indicator For High-Conviction Entries: 1. Wait for FULL BULL or FULL BEAR confluence 2. Confirm ADX shows TRENDING 3. Enter when Action shows STRONG BUY or STRONG SELL For Filtering Weak Setups: 1. Avoid entries when signal shows MIXED 2. Be cautious when ADX shows RANGING 3. Require at least 2 of 3 dimensions to agree For Divergence Analysis: 1. Watch for Quantity bullish but Commitment bearish (distribution) 2. Watch for Quantity bearish but Commitment bullish (accumulation) Input Parameters Lookback Period (9) - Bars to analyze for all three dimensions ADX Smoothing (14) - Period for ADX calculation ADX DI Length (14) - Period for directional indicators Timeframe Recommendations 15m-1H: Good for intraday momentum analysis 4H-Daily: Best for swing trading confluence Lookback period may need adjustment for different timeframes Limitations Lookback period affects signal responsiveness vs reliability tradeoff Volume data quality varies by exchange ADX filter may cause missed entries in early trends Works best on liquid instruments with consistent volume Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection Introduction and Purpose Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight. This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force. Why Force Detection Matters Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension: 1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising. 2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling. 3. Neutral - Mixed movement indicates consolidation or uncertainty. How Force Detection Works bool upperUp = upper > upper bool lowerUp = lower > lower bool basisUp = basis > basis int forceFull = if upperUp and lowerUp and basisUp 1 // Bullish force else if upperDn and lowerDn and basisDn -1 // Bearish force else 0 // Neutral Additional Features Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves Gradient Fills - Color intensity reflects force strength Direction Change Arrows - Visual markers when force direction shifts Dashboard Information Force - Current force status (BULLISH/BEARISH/NEUTRAL) Position - Price location within bands (Upper/Mid/Lower Zone) Band Width - Current width percentage with expansion/contraction label Volatility - Squeeze status (SQUEEZE/NORMAL) Force Count - Bars since last force change How to Use This Indicator For Trend Following: 1. Enter long when force turns BULLISH 2. Enter short when force turns BEARISH 3. Exit or reduce when force turns NEUTRAL For Squeeze Breakouts: 1. Watch for SQUEEZE status in dashboard 2. Prepare for breakout in either direction 3. Enter when force confirms direction after squeeze For Mean Reversion: 1. Only trade mean-reversion when force is NEUTRAL 2. Avoid fading moves when force is active 3. Use band touches as entry points during neutral force Input Parameters Length (20) - Period for basis and standard deviation Multiplier (2.0) - Standard deviation multiplier for bands MA Type (SMA) - Basis calculation method Squeeze Threshold (0.5) - Band width percentage for squeeze detection Timeframe Recommendations 4H-Daily: Cleanest force signals 1H: Good balance of signals and reliability 15m: More signals but more noise Limitations Force detection can lag during rapid reversals Squeeze breakouts can fail (false breakouts) Works best in markets with clear trending/ranging phases Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Nexus Momentum Flow [JOAT] Nexus Momentum Flow - ADX-Based Trend Strength Analysis Introduction and Purpose Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together. This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor. Why These Components Work Together 1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging. 2. +DI (Positive Directional Indicator) - Measures upward price movement strength. 3. -DI (Negative Directional Indicator) - Measures downward price movement strength. 4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric. The combination works because: ADX filters out ranging markets where DI crossovers produce whipsaws DI relationship provides direction when ADX confirms trend Confluence score simplifies the analysis into one number How the Calculation Works float directionBias = diPlus - diMinus float confluenceScore = (adx / 100) * directionBias The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength. Trend State Classification EXTREME - ADX > 50 (very strong trend) STRONG - ADX 35-50 (strong trend) TRENDING - ADX 25-35 (moderate trend) RANGING - ADX < 25 (no clear trend) Dashboard Information Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING) Direction - BULLISH or BEARISH based on DI relationship ADX - Current ADX value DI Bias - Difference between +DI and -DI Confluence - Combined score with directional context How to Use This Indicator For Trend Following: 1. Wait for ADX to show TRENDING or higher 2. Check direction matches your trade bias 3. Enter on pullbacks when confluence remains positive/negative 4. Exit when ADX drops to RANGING For Avoiding Whipsaws: 1. Do not trade DI crossovers when ADX shows RANGING 2. Only trust directional signals when ADX confirms trend 3. Use RANGING periods for mean-reversion strategies instead For Trend Exhaustion: 1. Watch for EXTREME ADX readings 2. Extreme trends often precede reversals 3. Consider taking profits when ADX reaches extreme levels Input Parameters ADX Length (14) - Period for ADX calculation DI Length (14) - Period for directional indicators ADX Smoothing (14) - Smoothing period for ADX Trend Threshold (25) - ADX level for trend confirmation Strong Threshold (35) - ADX level for strong trend Extreme Threshold (50) - ADX level for extreme trend Timeframe Recommendations Daily/4H: Best for swing trading trend analysis 1H: Good for intraday trend following 15m: More signals but requires faster reaction Limitations ADX is a lagging indicator - trends are confirmed after they start DI crossovers can whipsaw even with ADX filter Works best in markets that trend clearly May miss early trend entries due to confirmation requirement Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Fractal Wave Hunter [JOAT] Fractal Wave Hunter - Multi-Method Fractal Detection System Introduction and Purpose Fractal Wave Hunter is an open-source overlay indicator that identifies key reversal patterns using multiple fractal detection methods. The core problem this indicator solves is that different fractal methods catch different types of reversals. Williams' classic 5-bar fractal is reliable but slow; Hougaard's 4-bar method is faster but noisier. Using only one method means missing valid signals that the other would catch. This indicator addresses that by combining both methods plus HOLP/LOHP detection, giving traders a comprehensive view of potential reversal points. Why These Methods Work Together Each fractal method has different characteristics: 1. 4-Bar Fractal (Hougaard Method) - Faster detection, identifies momentum shifts when close exceeds recent highs/lows. Best for catching early reversals. 2. Classic 5-Bar Fractal (Williams) - Traditional pivot detection requiring the middle bar to be the highest/lowest of 5 bars. Best for identifying significant swing points. 3. HOLP/LOHP - High of Low Period and Low of High Period signals identify when price makes a new extreme within a defined lookback. Best for trend exhaustion detection. By combining these methods, traders can: Use 4-bar fractals for early entry signals Use 5-bar fractals for confirmation and stop placement Use HOLP/LOHP for trend exhaustion warnings How the Detection Works 4-Bar Fractal (Hougaard): bool fractal4BuyBase = close > high and close > high bool fractal4SellBase = close < low and close < low Classic 5-Bar Fractal: bool fractalHigh = high > high and high > high and high > high and high > high bool fractalLow = low < low and low < low and low < low and low < low Signal Types 4B (4-Bar Buy) - Close exceeds high and high - early bullish signal 4S (4-Bar Sell) - Close below low and low - early bearish signal FH (Fractal High) - Classic 5-bar swing high - confirmed resistance FL (Fractal Low) - Classic 5-bar swing low - confirmed support HOLP - High of low period - potential bullish exhaustion LOHP - Low of high period - potential bearish exhaustion Dashboard Information 4-Bar Fractal - Count of bullish/bearish 4-bar fractals Classic Fractal - Count of 5-bar fractal highs/lows HOLP/LOHP - Reversal signal counts Total Signals - Combined pattern count How to Use This Indicator For Counter-Trend Entries: 1. Wait for 4-bar fractal signal at key support/resistance 2. Confirm with 5-bar fractal forming nearby 3. Enter with stop beyond the fractal point For Stop Placement: 1. Use 5-bar fractal highs/lows as stop-loss references 2. These represent confirmed swing points that should hold if trend continues For Trend Analysis: 1. Track swing structure using fractal highs and lows 2. Higher fractal lows = uptrend structure 3. Lower fractal highs = downtrend structure Input Parameters Show 4-Bar Fractals (true) - Toggle Hougaard method signals Show Classic Fractals (true) - Toggle Williams method signals Show HOLP/LOHP (true) - Toggle exhaustion signals ATR Filter (false) - Only show signals during volatile conditions Swing Lines (true) - Connect significant swing points Timeframe Recommendations 1H-Daily: Best for reliable fractal detection 15m-30m: More signals but higher noise Weekly: Fewer but more significant fractals Limitations 5-bar fractals have inherent 2-bar lag (need confirmation) 4-bar fractals can produce false signals in choppy markets HOLP/LOHP signals work best at trend extremes Not all fractals lead to significant reversals Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Fractal detection does not guarantee reversals. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Eclipse Multi-Oscillator [JOAT]Eclipse Multi-Oscillator - Unified Momentum Confluence System Introduction and Purpose Eclipse Multi-Oscillator is an open-source indicator that combines four classic oscillators (RSI, Stochastic, CCI, and Williams %R) into a single unified view with confluence detection. The core problem this indicator solves is oscillator disagreement: traders often see RSI oversold while Stochastic is neutral, or CCI overbought while Williams %R is mid-range. This creates confusion about the true momentum state. This indicator addresses that by displaying all four oscillators together and counting how many agree on overbought or oversold conditions, providing a clear confluence score that cuts through the noise. Why These Four Oscillators Work Together Each oscillator measures momentum differently, and their combination provides a more complete picture: 1. RSI (Relative Strength Index) - Measures the magnitude of recent price changes. Best at identifying momentum exhaustion. 2. Stochastic - Compares closing price to the high-low range. Best at identifying where price is within its recent range. 3. CCI (Commodity Channel Index) - Measures price deviation from statistical mean. Best at identifying unusual price movements. 4. Williams %R - Similar to Stochastic but inverted. Provides confirmation of Stochastic readings. When 3 or more of these oscillators agree on overbought or oversold, the signal is significantly more reliable than any single oscillator alone. How Confluence Scoring Works The indicator counts how many oscillators are in extreme territory: int obCount = 0 if rsi > rsiOB obCount += 1 if stochK > stochOB obCount += 1 if cci > cciOB obCount += 1 if willRScaled > stochOB obCount += 1 bool strongOverbought = obCount >= 3 bool strongOversold = osCount >= 3 The confluence score ranges from -4 (all oversold) to +4 (all overbought), with 0 being neutral. Signal Types Strong Oversold - 3+ oscillators below oversold threshold (potential bounce) Strong Overbought - 3+ oscillators above overbought threshold (potential pullback) OB/OS Exit - RSI leaving extreme zone with Stochastic confirmation (potential reversal) Divergence - Price makes new high/low while RSI does not (potential reversal warning) Dashboard Information RSI/Stoch K/CCI/Will %R - Current values with zone status (OB/OS/MID) Confluence - Overall bias (STRONG OS, STRONG OB, Lean Bull/Bear, Neutral) OB Count - How many oscillators are overbought (0-4) OS Count - How many oscillators are oversold (0-4) How to Use This Indicator For Reversal Trading: 1. Wait for Strong Oversold (3+ oscillators agree) 2. Look for bullish candlestick pattern or support level 3. Enter long with stop below recent low 4. Take profit when confluence returns to neutral or overbought For Trend Confirmation: 1. Check confluence direction matches your trade bias 2. Avoid longs when confluence is strongly overbought 3. Avoid shorts when confluence is strongly oversold For Divergence Trading: 1. Watch for "D" labels indicating RSI divergence 2. Bullish divergence at support = potential long 3. Bearish divergence at resistance = potential short Input Parameters RSI Length (14) - Period for RSI calculation Stochastic K/D Length (14/3) - Periods for Stochastic CCI Length (20) - Period for CCI Williams %R Length (14) - Period for Williams %R OB/OS Thresholds - Customizable levels for each oscillator Timeframe Recommendations 15m-1H: Good for intraday momentum analysis 4H-Daily: Best for swing trading confluence Very short timeframes may produce noisy signals Limitations All oscillators can remain in extreme territory during strong trends Confluence does not predict direction, only identifies extremes Divergence detection is simplified and may miss some patterns Works best in ranging or moderately trending markets Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied. This indicator does not constitute financial advice. Oscillator confluence does not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Aurora Volatility Bands [JOAT]Aurora Volatility Bands - Dynamic ATR-Based Envelope System Introduction and Purpose Aurora Volatility Bands is an open-source overlay indicator that creates multi-layered volatility envelopes around price using ATR (Average True Range) calculations. The core problem this indicator solves is that static bands (like fixed percentage envelopes) fail to adapt to changing market conditions. During high volatility, static bands are too tight; during low volatility, they're too wide. This indicator addresses that by using ATR-based dynamic bands that automatically expand during volatile periods and contract during quiet periods, providing contextually appropriate support/resistance levels at all times. Why These Components Work Together The indicator combines three analytical approaches: 1. Triple-Layer Band System - Inner (1x ATR), Outer (2x ATR), and Extreme (3x ATR) bands provide graduated levels of significance 2. Volatility State Detection - Compares current ATR to historical average to classify market regime 3. Multiple MA Types - Allows customization of the center line calculation method These components complement each other: The triple-layer system gives traders multiple reference points - inner bands for normal moves, outer for significant moves, extreme for rare events Volatility state detection tells you WHEN bands are expanding or contracting, helping anticipate breakouts or mean-reversion MA type selection lets you match the indicator to your trading style (faster EMA vs smoother SMA) How the Calculation Works The bands are calculated using ATR multiplied by configurable factors: float atr = ta.atr(atrPeriod) float innerUpper = centerMA + (atr * innerMult) float outerUpper = centerMA + (atr * outerMult) float extremeUpper = centerMA + (atr * extremeMult) Volatility state is determined by comparing current ATR percentage to its historical average: float atrPercent = (atr / close) * 100 float avgAtrPercent = ta.sma(atrPercent, volatilityLookback) float volatilityRatio = atrPercent / avgAtrPercent bool isExpanding = volatilityRatio > 1.2 // 20%+ above average bool isContracting = volatilityRatio < 0.8 // 20%+ below average Signal Types Band Touch - Price reaches inner, outer, or extreme bands Mean Reversion - Price returns to center after touching outer/extreme bands Breakout - Sustained move beyond outer bands during volatility expansion Dashboard Information Volatility - Current state (EXPANDING/CONTRACTING/NORMAL) Vol Ratio - Current volatility vs average (e.g., 1.5x = 50% above average) ATR - Current ATR value ATR % - ATR as percentage of price Zone - Current price position (EXTREME HIGH/UPPER ZONE/CENTER ZONE/etc.) Position - Price position as percentage within band structure Width - Total band width as percentage of price Using SMA in settings: How to Use This Indicator For Mean-Reversion Trading: 1. Wait for price to touch outer or extreme bands 2. Check that volatility state is NORMAL or CONTRACTING (not expanding) 3. Look for reversal candlestick patterns at the band 4. Enter toward center MA with stop beyond the band For Breakout Trading: 1. Wait for volatility state to show EXPANDING 2. Look for price closing beyond outer bands 3. Enter in direction of breakout 4. Use the band as trailing stop reference For Volatility Analysis: 1. Monitor volatility ratio for regime changes 2. CONTRACTING often precedes large moves (squeeze) 3. EXPANDING confirms trend strength Using VWMA and Mean Reversion Signal/MR: Input Parameters ATR Period (14) - Period for ATR calculation Inner/Outer/Extreme Multipliers (1.0/2.0/3.0) - Band distance from center MA Type (EMA) - Center line calculation method MA Period (20) - Period for center line Volatility Comparison Period (20) - Lookback for volatility state Timeframe Recommendations 15m-1H: Good for intraday mean-reversion 4H-Daily: Best for swing trading and breakout identification Weekly: Useful for position trading and major level identification Limitations ATR-based bands lag during sudden volatility spikes Mean-reversion signals can fail in strong trends Breakout signals may whipsaw in ranging markets Works best on liquid instruments with consistent volatility patterns Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Band touches do not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Quantum Reversal Detector [JOAT] Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis Introduction and Purpose Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context. This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal. Why These Components Work Together The indicator combines five analytical approaches, each addressing a different aspect of reversal detection: 1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold) 2. MACD Crossovers - Confirms momentum direction change 3. Support/Resistance Proximity - Ensures price is at a significant level 4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes 5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating These components are not randomly combined. Each filter catches reversals that others miss: RSI catches momentum exhaustion but misses structural reversals MACD catches momentum shifts but lags price action S/R proximity catches structural levels but ignores momentum Multi-depth momentum catches divergences across timeframes Probability scoring combines all factors into actionable confidence levels How the Detection System Works Step 1: Pattern Detection The indicator first identifies potential reversal conditions: // Check if price is at support/resistance float lowestLow = ta.lowest(low, period) float highestHigh = ta.highest(high, period) bool atSupport = low <= lowestLow * 1.002 bool atResistance = high >= highestHigh * 0.998 // Check RSI conditions float rsi = ta.rsi(close, 14) bool oversold = rsi < 30 bool overbought = rsi > 70 // Check MACD crossover float macd = ta.ema(close, 12) - ta.ema(close, 26) float signal = ta.ema(macd, 9) bool macdBullish = ta.crossover(macd, signal) bool macdBearish = ta.crossunder(macd, signal) // Combine for reversal detection if atSupport and oversold and macdBullish bullishReversal := true Step 2: Multi-Depth Momentum Analysis The indicator calculates momentum across multiple periods to detect divergences: calculateQuantumMomentum(series float price, simple int period, simple int depth) => float totalMomentum = 0.0 for i = 0 to depth - 1 int currentPeriod = period * (i + 1) float momentum = ta.roc(price, currentPeriod) totalMomentum += momentum totalMomentum / depth This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts. Step 3: Bayesian Probability Calculation The indicator uses Bayesian updating to calculate reversal probability: bayesianProbability(series float priorProb, series float likelihood, series float evidence) => float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb math.min(math.max(posterior, 0.0), 1.0) The prior probability starts at 50% and updates based on: RSI extreme readings increase likelihood MACD crossovers increase likelihood S/R proximity increases likelihood Momentum divergence increases likelihood Step 4: Confidence Intervals Using Monte Carlo simulation concepts, the indicator estimates price distribution: monteCarloSimulation(series float price, series float volatility, simple int iterations) => float sumPrice = 0.0 float sumSqDiff = 0.0 for i = 0 to iterations - 1 float randomFactor = (i % 10 - 5) / 10.0 float simulatedPrice = price + volatility * randomFactor sumPrice += simulatedPrice float avgPrice = sumPrice / iterations // Calculate standard deviation for confidence intervals This provides 95% and 99% confidence bands around the current price. Signal Classification Signals are classified by confirmation level: Confirmed Reversal : Pattern detected for N consecutive bars (default 3) High Probability : Confirmed + Bayesian probability > 70% Ultra High Probability : High probability + PDF above average Dashboard Information The dashboard displays: Bayesian Probability - Updated reversal probability (0-100%) Quantum Momentum - Multi-depth momentum average RSI - Current RSI value with overbought/oversold status Volatility - Current ATR as percentage of price Reversal Signal - BULLISH, BEARISH, or NONE Divergence - Momentum divergence detection MACD - Current MACD histogram value S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL 95% Confidence - Price range with 95% probability Bull/Bear Targets - ATR-based reversal targets Visual Elements Quantum Bands - ATR-based upper and lower channels Probability Field - Circle layers showing probability distribution Confidence Bands - 95% and 99% confidence interval circles Reversal Labels - REV markers at confirmed reversals High Probability Markers - Star diamonds at high probability setups Reversal Zones - Boxes around confirmed reversal areas Divergence Markers - Triangles at momentum divergences How to Use This Indicator For Reversal Trading: 1. Wait for Bayesian Probability to exceed 70% 2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE) 3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts) 4. Enter when REV label appears with high probability marker For Risk Management: 1. Use the 95% confidence band as a stop-loss reference 2. Use Bull/Bear Targets for take-profit levels 3. Higher probability readings warrant larger position sizes For Filtering False Signals: 1. Increase Confirmation Bars to require more consecutive signals 2. Only trade when probability exceeds 70% 3. Require divergence confirmation for highest conviction Input Parameters Reversal Period (21) - Lookback for S/R and momentum calculations Quantum Depth (5) - Number of momentum layers for multi-depth analysis Confirmation Bars (3) - Consecutive bars required for confirmation Detection Sensitivity (1.2) - Band width and target multiplier Bayesian Probability (true) - Enable probability calculation Monte Carlo Simulation (true) - Enable confidence interval calculation Normal Distribution (true) - Enable PDF calculation Confidence Intervals (true) - Enable confidence bands Timeframe Recommendations 1H-4H: Best for swing trading reversals Daily: Fewer but more significant reversal signals 15m-30m: More signals, requires higher probability threshold Limitations Statistical concepts are simplified implementations for Pine Script Monte Carlo uses deterministic pseudo-random factors, not true randomness Bayesian probability uses simplified prior/likelihood model Reversal detection does not guarantee actual reversals will occur Confirmation bars add lag to signal generation Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering Introduction and Purpose Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter. The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection: Trend alignment ensures patterns appear in favorable market structure Volume-weighted strength filters out weak patterns with low conviction Velocity confirmation identifies momentum behind the pattern Neural bias filter adapts to recent price behavior to avoid counter-trend signals What Makes This Indicator Original While candlestick pattern scanners exist, this indicator's originality comes from: 1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection. 2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation. 3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence. 4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled. How the Components Work Together Step 1: Pattern Detection The indicator scans for 15 candlestick patterns using precise mathematical definitions: // Example: Bullish Engulfing requires the current bullish candle to completely // engulf the previous bearish candle with a larger body isBullishEngulfing() => bool pattern = close < open and close > open and open <= close and close >= open and close - open > open - close pattern // Example: Three White Soldiers requires three consecutive bullish candles // with each opening within the previous body and closing higher isThreeWhiteSoldiers() => bool pattern = close > open and close > open and close > open and close < close and close < close and open > open and open < close and open > open and open < close pattern Step 2: Strength Calculation Each detected pattern receives a strength score combining volume and body size: float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0 float bodySize = math.abs(close - open) / close float baseStrength = (volRatio + bodySize * 100) / 2 This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume. Step 3: Trend Alignment Patterns are checked against the trend direction using an EMA: float trendEMA = ta.ema(close, i_trendPeriod) int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0 Bullish patterns in uptrends and bearish patterns in downtrends receive priority. Step 4: Neural Bias Filter The adaptive filter uses a momentum-adjusted EMA that responds to price changes: neuralEMA(series float src, simple int period, simple float lr) => var float neuralValue = na var float momentum = 0.0 if na(neuralValue) neuralValue := src float error = src - neuralValue float adjustment = error * lr momentum := momentum * 0.9 + adjustment * 0.1 neuralValue := neuralValue + adjustment + momentum neuralValue The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother. Step 5: Velocity Confirmation Price velocity (rate of change) must exceed the average velocity for strong signals: float velocity = ta.roc(close, i_trendPeriod) float avgVelocity = ta.sma(velocity, i_trendPeriod) bool velocityBull = velocity > avgVelocity * 1.5 Step 6: Signal Classification Signals are classified based on how many filters they pass: Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation Watch Pattern : Pattern detected but not all filters passed Detected Patterns Classic Reversal Patterns: Bullish/Bearish Engulfing - Complete body engulfment with larger body Hammer - Long lower wick (2x body), small upper wick, bullish context Shooting Star - Long upper wick (2x body), small lower wick, bearish context Morning Star - Three-bar bullish reversal with small middle body Evening Star - Three-bar bearish reversal with small middle body Piercing Line - Bullish candle closing above midpoint of previous bearish candle Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle Bullish/Bearish Harami - Small body contained within previous larger body Doji - Body less than 10% of total range (indecision) Advanced Patterns (Optional): Three White Soldiers - Three consecutive bullish candles with rising closes Three Black Crows - Three consecutive bearish candles with falling closes Tweezer Top - Equal highs with reversal candle structure Tweezer Bottom - Equal lows with reversal candle structure Island Reversal - Gap isolation creating reversal structure Dashboard Information The dashboard displays real-time analysis: Pattern - Current detected pattern name or "SCANNING..." Bull/Bear Strength - Volume-weighted strength scores Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA RSI - 14-period RSI for momentum context Momentum - 10-period momentum reading Volatility - ATR as percentage of price Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT Visual Elements Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.) Neural Bias Line - Adaptive trend line showing filter direction Gap Boxes - Cyan boxes highlighting price gaps Action Zones - Dashed boxes around strong pattern areas Velocity Markers - Small circles when velocity confirms direction Ultra Signals - Large labels for highest conviction setups How to Use This Indicator For Reversal Trading: 1. Wait for a pattern to appear at a key support/resistance level 2. Check that the Action shows "BUY" or "SELL" (not just "WATCH") 3. Confirm the Neural Bias aligns with your trade direction 4. Use the strength score to gauge conviction (higher is better) For Trend Continuation: 1. Identify the trend using the Trend row in the dashboard 2. Look for patterns that align with the trend (bullish patterns in uptrends) 3. Ultra signals indicate the strongest continuation setups For Filtering Noise: 1. Keep "Show All Patterns" disabled to see only filtered signals 2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns 3. Enable "Velocity Confirmation" to require momentum behind patterns Input Parameters Scan Sensitivity (1.0) - Overall detection sensitivity multiplier Pattern Strength Filter (3) - Minimum strength score for strong signals Trend Period (20) - EMA period for trend determination Show All Patterns (false) - Display all patterns regardless of filters Advanced Patterns (true) - Enable soldiers/crows/tweezer detection Gap Analysis (true) - Enable gap detection and boxes Velocity Confirmation (true) - Require velocity for strong signals Neural Bias Filter (true) - Enable adaptive trend filter Neural Period (50) - Lookback for neural bias calculation Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5) Timeframe Recommendations 1H-4H: Best balance of signal frequency and reliability Daily: Fewer but more significant patterns 15m-30m: More signals, requires tighter filtering (increase strength threshold) Limitations Pattern detection is mechanical and does not consider fundamental context Neural bias filter may lag during rapid trend reversals Gap detection requires clean price data without after-hours gaps Strength scoring favors high-volume patterns, which may miss valid low-volume setups - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
3
Cosmic Volume Analyzer [JOAT] Cosmic Volume Analyzer - Astrophysics Edition Overview Cosmic Volume Analyzer is an open-source oscillator indicator that applies astrophysics-inspired concepts to volume analysis. It classifies volume into buy/sell categories, calculates volume flow, detects accumulation/distribution phases, identifies climax volume events, and uses gravitational and stellar mass analogies to visualize volume dynamics. What This Indicator Does The indicator calculates and displays: Volume Classification - Categorizes each bar as CLIMAX_BUY, CLIMAX_SELL, HIGH_BUY, HIGH_SELL, NORMAL_BUY, or NORMAL_SELL Volume Flow - Percentage showing buy vs sell pressure over a lookback period Buy/Sell Volume - Separated volume based on candle direction Accumulation/Distribution - Phase detection using Money Flow Multiplier Volume Oscillator - Fast vs slow volume EMA comparison Gravitational Pull - Volume-weighted price attraction metric Stellar Mass Index - Volume ratio combined with price momentum Black Hole Detection - Identifies extremely low volume periods (liquidity voids) Supernova Events - Detects extreme volume with extreme price movement Orbital Cycles - Sine-wave based cyclical visualization How It Works Volume classification uses volume ratio and candle direction: classifyVolume(series float vol, series float close, series float open) => float avgVol = ta.sma(vol, 20) float volRatio = avgVol > 0 ? vol / avgVol : 1.0 if volRatio > 1.5 if close > open classification := "CLIMAX_BUY" else classification := "CLIMAX_SELL" else if volRatio > 1.2 // HIGH_BUY or HIGH_SELL else // NORMAL_BUY or NORMAL_SELL Volume flow separates buy and sell volume over a period: calculateVolumeFlow(series float vol, series float close, simple int period) => float currentBuyVol = close > open ? vol : 0.0 float currentSellVol = close < open ? vol : 0.0 // Accumulate in buffers float flow = (buyVolume - sellVolume) / totalVol * 100 Accumulation/Distribution uses the Money Flow Multiplier: float mfm = ((close - low) - (high - close)) / (high - low) float mfv = mfm * vol float adLine = ta.cum(mfv) if adLine > adEMA and ta.rising(adLine, 3) phase := "ACCUMULATION" else if adLine < adEMA and ta.falling(adLine, 3) phase := "DISTRIBUTION" Gravitational pull uses volume-weighted price distance: gravitationalPull(series float vol, series float price, simple int period) => float massCenter = ta.vwma(price, period) float distance = math.abs(price - massCenter) float mass = vol / ta.sma(vol, period) float gravity = distance > 0 ? mass / (distance * distance) : 0.0 Signal Generation Signals are generated based on volume conditions: Buy Climax: Volume exceeds 2 standard deviations above average on bullish candle Sell Climax: Volume exceeds 2 standard deviations above average on bearish candle Strong Buy Flow: Volume flow exceeds positive threshold (default 45%) Strong Sell Flow: Volume flow exceeds negative threshold (default -45%) Supernova: Volume 3x average AND price change 3x average Black Hole: Volume 2 standard deviations below average Dashboard Panel (Top-Right) Volume Class - Current volume classification Volume Flow - Buy/sell flow percentage Buy Volume - Accumulated buy volume Sell Volume - Accumulated sell volume A/D Phase - ACCUMULATION/DISTRIBUTION/NEUTRAL Volume Strength - Normalized volume strength Gravity Pull - Current gravitational metric Stellar Mass - Current stellar mass index Cosmic Field - Combined cosmic field strength Black Hole - Detection status and void strength Signal - Current actionable status Visual Elements Volume Ratio Columns - Colored bars showing normalized volume Volume Flow Line - Main oscillator showing flow direction Flow EMA - Smoothed flow for trend reference Volume Oscillator - Area plot showing fast/slow comparison Gravity Field - Area plot showing gravitational pull Orbital Cycle - Circle plots showing cyclical pattern Stellar Mass Line - Line showing mass index Climax Markers - Fire emoji for buy climax, snowflake for sell climax Supernova Markers - Diamond shapes for extreme events Black Hole Markers - X-cross for liquidity voids A/D Phase Background - Subtle background color based on phase Input Parameters Volume Period (default: 20) - Period for volume calculations Distribution Levels (default: 5) - Granularity of distribution analysis Flow Threshold (default: 1.5) - Multiplier for flow significance Accumulation Period (default: 14) - Period for A/D calculation Gravitational Analysis (default: true) - Enable gravity metrics Black Hole Detection (default: true) - Enable void detection Stellar Mass Calculation (default: true) - Enable mass index Orbital Cycles (default: true) - Enable cyclical visualization Supernova Detection (default: true) - Enable extreme event detection Suggested Use Cases Identify accumulation phases for potential long entries Watch for distribution phases as potential exit signals Use climax volume as potential exhaustion indicators Monitor volume flow for directional bias Avoid trading during black hole (low liquidity) periods Watch for supernova events as potential trend acceleration Timeframe Recommendations Best on 15m to Daily charts. Volume analysis requires sufficient trading activity for meaningful readings. Limitations Volume data quality varies by exchange and instrument Buy/sell separation is based on candle direction, not actual order flow Astrophysics concepts are analogies, not literal physics A/D phase detection may lag during rapid transitions Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Fractal Market Geometry [JOAT] Fractal Market Geometry Overview Fractal Market Geometry is an open-source overlay indicator that combines fractal analysis with harmonic pattern detection, Fibonacci retracements and extensions, Elliott Wave concepts, and Wyckoff phase identification. It provides traders with a geometric framework for understanding market structure and identifying potential reversal patterns with multi-factor signal confirmation. What This Indicator Does The indicator calculates and displays: Fractal Detection - Identifies fractal highs and lows using Williams-style pivot analysis with configurable period Fractal Dimension - Calculates market complexity using range-based dimension estimation Harmonic Patterns - Detects Gartley, Butterfly, Bat, Crab, Shark, Cypher, and ABCD patterns using Fibonacci ratios Fibonacci Retracements - Key levels at 38.2%, 50%, and 61.8% Fibonacci Extensions - Projection level at 161.8% Elliott Wave Count - Simplified wave counting based on pivot detection (1-5) Wyckoff Phase - Volume-based phase identification (Accumulation, Markup, Distribution, Neutral) Golden Spiral Levels - ATR-based support and resistance levels using phi (1.618) ratio Trend Detection - EMA crossover trend identification (20/50 EMA) How It Works Fractal detection uses a configurable period to identify swing points: detectFractalHigh(simple int period) => bool result = true float centerVal = high for i = 0 to period - 1 if high >= centerVal or high >= centerVal result := false break Harmonic pattern detection uses Fibonacci ratio analysis between swing points. Each pattern has specific ratio requirements: Gartley: AB 0.382-0.618, BC 0.382-0.886, CD 1.27-1.618 Butterfly: AB 0.382-0.5, BC 0.382-0.886, CD 1.618-2.24 Bat: AB 0.5-0.618, BC 1.13-1.618, CD 1.618-2.24 Crab: AB 0.382-0.618, BC 0.382-0.886, CD 2.24-3.618 Shark: AB 0.382-0.618, BC 1.13-1.618, CD 1.618-2.24 Cypher: AB 0.382-0.618, BC 1.13-1.414, CD 0.786-0.886 Wyckoff phase detection analyzes volume relative to price movement: wyckoffPhase(simple int period) => float avgVol = ta.sma(volume, period) float priceChg = ta.change(close, period) string phase = "NEUTRAL" if volume > avgVol * 1.5 and math.abs(priceChg) < close * 0.02 phase := "ACCUMULATION" else if volume > avgVol * 1.5 and math.abs(priceChg) > close * 0.05 phase := "MARKUP" else if volume < avgVol * 0.7 phase := "DISTRIBUTION" phase Signal Generation Signals use multi-factor confirmation for accuracy: BUY Signal: Fractal low + Uptrend (EMA20 > EMA50) + RSI 30-55 + Bullish candle + Volume confirmation SELL Signal: Fractal high + Downtrend (EMA20 < EMA50) + RSI 45-70 + Bearish candle + Volume confirmation Pattern Detection: Label appears when harmonic pattern completes at current bar Dashboard Panel (Top-Right) Dimension - Fractal dimension value (market complexity measure) Last High - Most recent fractal high price Last Low - Most recent fractal low price Pattern - Current harmonic pattern name or NONE Elliott Wave - Current wave count (Wave 1-5) or OFF Wyckoff - Current market phase or OFF Trend - BULLISH, BEARISH, or NEUTRAL based on EMA crossover Signal - BUY, SELL, or WAIT status Visual Elements Fractal Markers - Small triangles at fractal highs (down arrow) and lows (up arrow) Geometry Lines - Dashed lines connecting the most recent fractal high and low Fibonacci Levels - Clean horizontal lines at 38.2%, 50%, and 61.8% retracement levels Fibonacci Extension - Horizontal line at 161.8% extension level Golden Spiral Levels - Support and resistance lines based on ATR x 1.618 3D Fractal Field - Optional depth layers around swing levels (OFF by default) Harmonic Pattern Markers - Small diamond shapes when Crab, Shark, or Cypher patterns detected Pattern Labels - Text label showing pattern name when detected Signal Labels - BUY/SELL labels on confirmed multi-factor signals Input Parameters Fractal Period (default: 5) - Bars on each side for fractal detection Geometry Depth (default: 3) - Complexity of geometric calculations Pattern Sensitivity (default: 0.8) - Tolerance for pattern ratio matching Show Fibonacci Levels (default: true) - Display retracement levels Show Fibonacci Extensions (default: true) - Display extension level Elliott Wave Detection (default: true) - Enable wave counting Wyckoff Analysis (default: true) - Enable phase detection Golden Spiral Levels (default: true) - Display spiral support/resistance Show Fractal Points (default: true) - Display fractal markers Show Geometry Lines (default: true) - Display connecting lines Show Pattern Labels (default: true) - Display pattern name labels Show 3D Fractal Field (default: false) - Display depth layers Show Harmonic Patterns (default: true) - Display pattern markers Show Buy/Sell Signals (default: true) - Display signal labels Suggested Use Cases Identify potential reversal zones using harmonic pattern completion Use Fibonacci levels for entry, stop-loss, and target planning Monitor Wyckoff phases for accumulation/distribution awareness Track Elliott Wave counts for trend structure analysis Use fractal dimension to gauge market complexity Wait for multi-factor signal confirmation before entering trades Timeframe Recommendations Best on 1H to Daily charts. Lower timeframes produce more fractals but with less significance. Higher timeframes provide stronger levels and more reliable signals. Limitations Harmonic pattern detection uses simplified ratio ranges and may not match all textbook definitions Elliott Wave counting is basic and does not include all wave rules Wyckoff phase detection is volume-based approximation Fractal dimension calculation is simplified Signals require fractal confirmation which has inherent lag equal to the fractal period Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Quantum Flow [JOAT]Quantum Flow Nexus - Advanced Multi-Dimensional Flow Analysis Overview Quantum Flow Nexus is an open-source overlay indicator that combines custom EMA-based flow calculations with order flow analysis, multi-timeframe correlation, and liquidity zone detection. It provides traders with a structured framework for analyzing market momentum and identifying potential entry points based on multiple confirming factors. What This Indicator Does The indicator calculates several analytical components: Quantum Flow Oscillator - A custom oscillator built from multiple EMA layers at different depths Flow Momentum - Rate of change of the flow oscillator Order Flow Delta - Buy vs sell volume pressure estimation Smart Money Index - Volume-weighted directional bias metric Multi-Timeframe Entanglement - Price correlation across 15m and 60m timeframes Liquidity Zones - Historical swing high/low levels with volume significance Wave Function State - Momentum-based decisiveness detection How It Works The core quantum oscillator uses a custom EMA calculation with depth layering: quantumOscillator(series float src, simple int len, simple int depth) => float osc = 0.0 for i = 1 to depth int fastLen = len / i int slowLen = len * i float emaFast = quantumEMA(src, fastLen) float emaSlow = quantumEMA(src, slowLen) osc += (emaFast - emaSlow) / depth osc This creates a multi-layered view of momentum by comparing EMAs at progressively different speeds. Signal Generation Basic signals occur when: Bullish: Flow crosses above lower band + positive momentum + positive order flow delta Bearish: Flow crosses below upper band + negative momentum + negative order flow delta Strong signals require additional confirmation: Smart Money Index above/below threshold (50/-50) Entanglement score above 50% Wave function in collapsed state (decisive momentum) Confluence Score Calculation The indicator combines multiple factors into a single confluence percentage: float confluenceScore = (flowStrength * 20 + entanglementScore * 0.3 + math.abs(orderFlowDelta) * 0.5) / 3 Dashboard Panel (Top-Right) Flow Strength - Distance from center line normalized by standard deviation Momentum - Current rate of change of flow Trend - BULLISH/BEARISH/NEUTRAL based on flow vs EMA Confluence Score - Combined factor percentage Order Flow Delta - Buy/sell pressure percentage Entanglement - Multi-timeframe correlation score Wave State - COLLAPSED or SUPERPOSITION Signal - Current actionable status Visual Elements Flow Lines - Center flow line with upper/lower bands Quantum Zones - Filled areas between bands showing bullish/bearish zones 3D Quantum Field - Five oscillating layers creating depth visualization Order Flow Blocks - Boxes highlighting significant order flow imbalances Liquidity Heatmap - Dashed lines at significant historical levels Signal Markers - Triangles for basic signals, labels for strong signals Input Parameters Flow Period (default: 21) - Base period for flow calculations Quantum Depth (default: 3) - Number of EMA layers Sensitivity (default: 1.5) - Band width multiplier Liquidity Max Levels (default: 8) - Maximum liquidity zones displayed Liquidity Min Strength Ratio (default: 0.10) - Minimum volume significance Suggested Use Cases Identify momentum direction using flow oscillator position Confirm entries with order flow and smart money readings Use liquidity zones as potential support/resistance areas Wait for strong signals with multiple factor confirmation Timeframe Recommendations Effective on 15m to Daily charts. Lower timeframes may produce more signals with higher noise levels. Limitations Order flow is estimated from candle structure, not actual order book data Multi-timeframe requests add processing time Liquidity zones are based on historical pivots and may not reflect current market structure Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Candlestick Pattern Indicator – Doji, Harami, More [algo_aakash]This Candlestick Pattern Indicator is designed to help traders identify key price action patterns like Bullish Engulfing, Bearish Engulfing, Doji, Hammer, Morning Star, Evening Star, and many more directly on your TradingView chart. With customizable options to display both bullish and bearish patterns , this indicator provides real-time visual markers and labels, helping you make informed trading decisions. Key features of the indicator include: Detects popular candlestick patterns such as Bullish Engulfing, Bearish Engulfing, Hammer, Morning Star, Tweezer Tops, and more. Customizable settings for displaying pattern shapes, labels, and opacity, tailored to your trading preferences. Option to plot signals only after a candle closes, ensuring accuracy. Alerts for immediate notification of detected patterns. Visual markers on the chart, including arrows and labels, for quick recognition of potential trade setups. This indicator is ideal for traders who rely on candlestick patterns for technical analysis and want an automated tool to highlight these setups for easier decision-making. Whether you're a beginner or an experienced trader, this tool will help you spot important patterns in real-time without cluttering your chart.
Indikator Pine Script®
oleh algo_aakash
2