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震盪指標

Correlated Sine Oscillator [LuxAlgo]The Correlated Sine Oscillator indicator identifies and isolates cyclical components within price action to generate a normalized, phase-aligned sinusoid that fluctuates between -1 and 1. 🔶 USAGE The Correlated Sine Oscillator is designed to help traders visualize the underlying rhythm of the market by projecting price data onto a mathematical sine wave. Unlike standard momentum oscillators, this tool uses quadrature components to determine the current "phase" of the market cycle, allowing the oscillator to stay synced with price swings. 🔹 Identifying Cycle Direction The oscillator fluctuates within a fixed range of -1 to 1, centered around a zero line. Signals are generated based on the crossing of this midpoint to identify shifts in the dominant cycle. Bullish Signals: When the oscillator crosses above the zero line, a bullish triangle (▲) appears below the price bar, signaling the start of a rising phase in the cycle. Bearish Signals: When the oscillator crosses below the zero line, a bearish triangle (▼) appears above the price bar, signaling the start of a falling phase in the cycle. Cycle Extremes: While signals occur at the midline, values approaching 1 or -1 represent the peak and trough of the identified cycle, respectively. 🔹 The Phase Multiplier The Phase Multiplier setting is a unique feature that controls how responsively the oscillator adapts to changes in price direction. Since the indicator uses an average of the real and imaginary components to find the phase, increasing this multiplier will result in a smoother, more stable oscillator that is less prone to noise but slightly more lagging. Lowering the multiplier makes the oscillator react faster to price shifts, which can be useful for identifying quick reversals. 🔶 DETAILS The construction of the Correlated Sine Oscillator follows a sophisticated signal processing workflow: Detrending: The script first removes the trend by subtracting a Simple Moving Average (SMA) from the closing price. This isolates the high-frequency fluctuations (cycles) around a mean of zero. Quadrature Projection: The detrended price is projected onto both a Sine and Cosine wave (real and imaginary components) based on the user-defined Cycle Period . Phase Estimation: By calculating the arctangent of these components, the script derives the "Dynamic Phase." This tells us exactly where the current price sits within the theoretical cycle. Correlation: Finally, the script generates a synthetic sine wave that is shifted by the calculated phase, ensuring the output is perfectly correlated with the dominant frequency of the price action. 🔶 SETTINGS Cycle Period: Determines the primary wavelength (in bars) that the indicator looks for in the price data. Setting this to 20 means the oscillator is tuned to find cycles that repeat every 20 bars. Phase Multiplier: A multiplier applied to the Cycle Period to determine the smoothing length of the internal phase components. A higher value leads to a "cleaner" wave, while a lower value follows price more aggressively. Bullish Color: Controls the color of the oscillator and gradient fill when the value is above zero. Bearish Color: Controls the color of the oscillator and gradient fill when the value is below zero.
Pine Script®指標
由LuxAlgo提供
1
Volume Energy Reservoirs [LuxAlgo]The Volume Energy Reservoirs indicator is a physics-inspired momentum tool based on a "capacitance" model that treats the market as a system storing potential energy during stability and releasing it as kinetic flow during high-volume trends. 🔶 USAGE The indicator helps traders identify periods of market compression (Squeezes) and subsequent expansion. It provides a dual-view approach with an oscillator tracking energy flow and on-chart visuals highlighting price consolidation ranges and trend climaxes. Energy Accumulation (The Box): When the yellow Energy Reservoir fills in the oscillator, a filled Squeeze Box appears on the chart. This represents the "charging" phase where the market is storing potential energy within a tight range. Range Extension (The Lines): Once the energy building phase completes, the filled box stops, and two horizontal dashed Squeeze Extension Lines project from the box's high and low. These lines define the critical support and resistance levels established during the squeeze. The Breakout: A breakout is confirmed when a candle closes above or below the extension lines. At this moment, the lines stop drawing, signaling that the stored energy has been released into kinetic momentum. Trend Monitoring: Follow the Conviction Gradient on the background (default 75% transparency) and the vibrant Kinetic Aura in the oscillator to gauge the strength of the move. Exhaustion (The Exit): Look for Exhaustion Bubbles on the chart. A Red bubble at a bullish peak or a Green bubble at a bearish trough indicates the trend's "fuel" is spent. Larger bubbles represent higher-volume climaxes. 🔶 DETAILS The script utilizes a unique "Energy Reservoir" logic to quantify market state by using relative displacement math rather than absolute price values, making it adaptive across different asset classes. 🔹 Squeeze Mechanism The system transitions through three distinct visual states: Active Squeeze: A filled yellow box that dynamically expands its high and low boundaries as long as the "Energy Reservoir" is charging (Reservoir > 5). Post-Squeeze Extension: Once the reservoir level drops, the box is locked. Two horizontal dashed lines extend to the right from the box's maximum high and minimum low. Breakout Termination: The extension lines persist until the market price closes outside of the defined range, providing a clear visual of the "Range to Beat." 🔹 Exhaustion & Conviction Exhaustion Bubbles: These signals are specifically coded to ignore consolidation zones, only appearing during active trends when momentum begins to fade at an extreme. Size is determined by relative volume. Conviction Gradient: A thermal background heatmap (Teal for Bullish, Red for Bearish) that tracks trend conviction directly on the price chart. The default transparency is set to 75 to ensure a balance between visibility and chart clarity. Kinetic Aura: A vertical gradient glow in the oscillator that scales with the asset's recent volatility and volume-weighted flow. 🔶 SETTINGS 🔹 Main Settings Energy Horizon: The lookback period used to calculate the price midpoint and range stability for energy accumulation. Energy Sensitivity: Adjusts how quickly energy is released during volume spikes. Higher values require more significant volume to discharge the reservoir. 🔹 Visual Settings Highlight Squeeze Range: Toggles the drawing of the filled box and the subsequent extension lines on the chart. Show Exhaustion Bubbles: Toggles the volume-weighted bubbles that appear during momentum extremes. Show Conviction Gradient on Chart: Toggles the thermal background gradient on the main price chart. Background Transparency: Adjusts the maximum opacity of the on-chart conviction gradient (Default: 75).
Pine Script®指標
由LuxAlgo提供
Trend Pressure Prism [LuxAlgo]The Trend Pressure Prism indicator is a comprehensive trend-analysis tool that synthesizes momentum, market structure, and pullback quality into a single composite oscillator to identify high-conviction trading opportunities. 🔶 USAGE The indicator operates as a "prism," refracting price action through three distinct lenses to determine the total pressure behind a market move. Users can monitor the central ribbon to gauge trend strength and the "Agreement" metric to identify how unified the underlying forces are. 🔹 Trend States & Conviction The oscillator fluctuates between -100 and 100. When the ribbon enters the "Extreme Zones" (above 80 or below -80), the background glows, signaling a period of high conviction. Bullish Conviction: High positive pressure with unified agreement among the three pillars. Bearish Conviction: High negative pressure with unified agreement among the three pillars. Exhaustion: Occurs when the pressure score remains high but agreement drops below 50%, suggesting a potential reversal or thinning liquidity. 🔹 Filtered Crossover signals The indicator includes a Signal Line (EMA) that generates entry and exit cues. To ensure only high-quality opportunities are highlighted, signals are filtered by primary conditions: Relative Volume (RVOL): Ensures the move is backed by institutional participation. Agreement Filter: Requires a minimum level of harmony between momentum and structure. Dynamic Sizing: Signals are plotted as circles on the ribbon. Their size and opacity scale based on volume—larger, solid circles represent high-volume breakouts, while smaller circles indicate standard filtered moves. 🔶 DETAILS The script is built upon three core components that form the Composite Pressure Score: Momentum Drive: Measures the aggression of price movement using a normalized Rate of Change. Structural Alignment: Analyzes price position relative to fast and slow EMAs to ensure the trend has structural support. Pullback Quality: Evaluates the health of retracements by analyzing where price sits within its recent range. The Agreement metric calculates the mathematical harmony between these three components. High agreement suggests a "perfect storm" where all three factors point in the same direction, increasing the probability of a sustained move. 🔹 Dashboard Information The on-screen dashboard provides a real-time summary of the market's technical state: Current State: Identifies the market regime, such as "Bullish/Bearish Conviction," "Exhaustion" (divergent forces), or "Glass / Neutral" (low-conviction environments). Action: Provides a suggested context based on the prism's logic. This includes "Bullish/Bearish Cross" for potential entries, "Hold" for trending environments with high agreement, and "Wait" for low-conviction periods. Pressure Score: The numerical value of the composite oscillator (-100 to 100). Agreement: A percentage representing how unified the three internal forces are. Higher percentages indicate stronger confluence. 🔶 SETTINGS 🔹 Calculation Settings Lookback Period: Determines the window used for momentum, structure, and range calculations. Prism Sensitivity: Controls how reactive the normalized scores are to price changes. Min Signal RVOL: The volume threshold required to trigger a signal circle (e.g., 1.2 requires 20% above average volume). Min Signal Agreement: The required harmony between the 3 pillars (0.0 to 1.0) for a signal to appear. 🔹 Visual Settings Prism Opacity: Adjusts the transparency of the central ribbon and conviction glows. Enable Dashboard: Toggles the on-screen information panel. Position/Size: Controls the placement and scale of the dashboard UI.
Pine Script®指標
由LuxAlgo提供
2
Isotonic Regression Oscillator [LuxAlgo]The Isotonic Regression Oscillator indicator aims to quantify the degree of trendiness and structural complexity in price movement by comparing non-decreasing and non-increasing fits. It uses the Pool Adjacent Violators Algorithm (PAVA) to determine the best-fitting monotonic sequence for a given period, providing a normalized oscillator that highlights the strength and direction of the underlying trend. Note: The isotonic regression fit displayed on the price chart is subject to repainting and is displayed retrospectively to illustrate the most recent calculation window. 🔶 USAGE The indicator consists of an oscillator oscillating between -100 and 100, and a visual fit line displayed on the price chart. 🔹 Interpretation Positive Values: Indicate that a non-decreasing (bullish) fit has a lower Mean Squared Error (MSE) than a non-increasing fit. Higher values suggest a more complex, multi-step bullish structure. Negative Values: Indicate that a non-increasing (bearish) fit has a lower MSE. Lower values suggest a more complex bearish structure. Zero Crosses: A crossing of the zero line indicates a shift in the "best fit" direction, signaling a potential change in the dominant trend bias. 🔹 Fit Complexity The magnitude of the oscillator is determined by the number of "pools" or steps in the regression fit. A value near 100 or -100 suggests a highly granular fit that closely follows the price movement, while values near 0 suggest a very simple, flat, or linear-like monotonic structure. 🔶 DETAILS 🔹 The PAVA Algorithm Isotonic regression involves finding a series of non-decreasing (or non-increasing) values that are as close as possible to the original data points. The script implements the Pool Adjacent Violators Algorithm (PAVA). This algorithm works by iteratively averaging adjacent values that violate the monotonic constraint (e.g., in a non-decreasing fit, if a previous value is greater than the current value, they are pooled together and averaged). 🔹 MSE-Based Selection For every bar, the indicator calculates two regressions: one forced to be non-decreasing and one forced to be non-increasing. It calculates the Mean Squared Error (MSE) for both. The fit with the lower MSE is selected as the representative model for the current price action. 🔹 Normalization The oscillator value is normalized based on the number of unique "pools" (constant segments) found by the PAVA. The formula used is: ((Number of Pools - 1) / (Period - 1)) * 100 This scales the complexity of the trend into a readable range of 0 to 100 (or -100 for bearish fits). 🔶 SETTINGS Period: The lookback window used to calculate the isotonic regression fits. Source: The price data used for the calculations (defaults to Close). 🔹 Style Bullish Color: The color used for the oscillator and fit line when the bullish fit is dominant. Bearish Color: The color used for the oscillator and fit line when the bearish fit is dominant. Fit Line Width: Controls the thickness of the polyline fit displayed on the chart. Fit Line Style: Sets the visual style (Solid, Dashed, or Dotted) of the regression fit line.
Pine Script®指標
由LuxAlgo提供
1
[blackcat] L1 CJDX Super Short Line█ OVERVIEW CJDX Super Short Line is a momentum-based indicator optimized for short-term trading signals. It utilizes triple exponential moving average calculations to generate buy/sell signals through K/D line crossovers with momentum confirmation. █ CONCEPTS This indicator is based on the CJDX (超级短线/Super Short Line) methodology, which applies triple-smoothed exponential moving averages to identify short-term momentum shifts and generate trading signals. Core Principles • Triple EMA smoothing reduces noise while maintaining responsiveness • K/D line crossovers identify momentum direction changes • J-value filtering confirms trend alignment before signal generation • Signal gap filtering prevents over-trading in choppy markets █ HOW TO USE 1 — Add the indicator to your chart from the Indicators menu 2 — Observe the K line (white) and D line (red) for crossover signals 3 — Confirm signals with J histogram direction and zero-line position 4 — Use "B" markers for potential buy entries and "S" markers for sell exits Signal Interpretation • Buy Signal (B) : K line crosses above D line with J > 0, indicating upward momentum • Sell Signal (S) : K line crosses below D line with J < 0, indicating downward momentum • J Histogram : Red bars show positive momentum, green bars show negative momentum █ CALCULATION METHOD Base Components • Weighted Typical Price: (2 × Close + High + Low) / 4 • Triple EMA: Three consecutive 4-period EMAs applied for maximum smoothness • J Line Momentum: Rate of change of Triple EMA value Signal Lines • K Line (Fast): 3-period EMA of J momentum (optimized from 1-period SMA) • D Line (Slow): 5-period EMA of J momentum (optimized from 3-period SMA) █ FEATURES Visual Elements • J Histogram: Columns showing momentum strength (red = positive, green = negative) • K Line (White): Fast signal line for crossover detection • D Line (Red): Slow signal line acting as trigger reference • Zero Axis: Dotted reference line for momentum direction Signal Markers • "B" Label: Buy signal marker in red text • "S" Label: Sell signal marker in green text Optimizations • EMA-based smoothing instead of SMA for reduced lag • Momentum confirmation (J > 0 for buy, J < 0 for sell) • 3-bar minimum gap between signals to reduce noise █ RECOMMENDED SETTINGS • Best suited for short-term trading on 15-minute to 4-hour timeframes • Works well in trending markets with clear momentum direction • Signal gap period is set to 3 bars by default • Consider combining with volume analysis for confirmation █ LIMITATIONS • May generate false signals in ranging or sideways markets • Lag inherent in all moving average-based indicators • Not suitable as a standalone trading system • Performance varies across different market conditions and assets █ NOTES • This is an optimized version of the classic CJDX indicator • Original SMA calculations replaced with EMA for improved responsiveness • Signal filtering helps avoid consecutive buy/sell signals within 3 periods • Always use proper risk management and confirm signals with additional analysis ═════════════════════════════════════════════════════════════════════════ For questions or feedback, use comments section below.
Pine Script®指標
由blackcat1402提供
Phase Regression Oscillator [LuxAlgo]The Phase Regression Oscillator indicator is a cycle analysis tool that uses an analytical linear least squares fit to extract the instantaneous phase of a specified frequency relative to price action. By solving a system of normal equations on every bar, the script determines the "best fit" sine wave for a rolling window, providing a high-resolution view of the market's cyclical state. 🔶 USAGE The indicator is designed to identify the current stage of a market cycle by fitting a theoretical sine wave to the most recent price data. Unlike traditional oscillators that rely on simple averages or price extremes, this tool uses regression to find the mathematical phase of the trend. 🔹 Interpreting the Components Sine Oscillator (Solid Line): This is the primary signal. When the line is positive and green, the cycle is in its ascending or peaking phase. When negative and red, the cycle is in its descending or troughing phase. Cosine Component (Dotted Line): This represents the "quadrature" or in-phase component. In cycle analysis, the lead/lag relationship between the sine and cosine lines can help traders identify when a cycle is losing momentum or reaching a turning point. Overbought/Oversold Levels: Dashed horizontal lines indicate levels where the cycle fit has reached extreme mathematical synchronization, often preceding a phase shift or reversal. 🔶 DETAILS The script employs a Linear Least Squares approach to model price as: y = a·sin(ωx) + b·cos(ωx) + c Instead of using a computationally expensive "grid search" to guess the phase, the indicator uses a 3x3 matrix solver (Cramer's Rule) to analytically find the coefficients a , b , and c that minimize the squared error. The phase (φ) is then extracted using the arctangent of the coefficients. By defining the period as a percentage of the window size, the tool ensures that the regression always looks for a cycle length that is proportional to the observed lookback, making it adaptable across different timeframes and asset classes. 🔶 SETTINGS 🔹 Main Settings Window Size (N): The rolling lookback period (in bars) used to calculate the regression fit. Period % of Window: Defines the fixed period (P) of the sine wave as a percentage of the Window Size. A value of 100% means the regression looks for a cycle equal to the window length. 🔹 Levels Overbought Level: The upper threshold used to identify cycle peaks. Oversold Level: The lower threshold used to identify cycle troughs. 🔹 Style Bullish Color: Color for the oscillator when positive, the oversold level, and the upward gradient fill. Bearish Color: Color for the oscillator when negative, the overbought level, and the downward gradient fill. Cosine Color: The color of the dotted quadrature reference line. Zero Line Color: The color of the center baseline.
Pine Script®指標
由LuxAlgo提供
Futures Regime Break Strategy [KedArcQuant]Overview Futures Regime Engine v1.0 is a professional-grade, non-repainting trend regime strategy designed for Futures trading and option selling alignment. It identifies institutional directional bias using price structure, VWAP positioning, trend confirmation, and momentum validation. This engine is built specifically to detect when markets transition from neutral to directional regimes. It avoids chop conditions and focuses on high-probability trend continuation and reversal confirmation zones. The strategy works equally well for: * Futures trading (LONG and SHORT execution) * Option selling (PE SELL and CE SELL alignment) * Index futures such as NIFTY and BANKNIFTY * Liquid stock futures All signals are confirmed only on candle close. No repainting or forward-looking logic is used. Core Philosophy Markets operate in regimes, not random noise. Institutional participation creates directional bias which can be detected using objective price positioning relative to VWAP, trend structure, and momentum confirmation. This engine is designed to identify those regime shifts and allow traders to align with institutional directional flow. Why this is not a mashup This strategy is not a mashup of unrelated indicators. It uses a single integrated regime model based on four logically connected components: 1. Institutional bias via VWAP positioning 2. Trend confirmation via EMA directional alignment 3. Momentum validation via RSI threshold structure 4. Structural confirmation via breakout of recent price structure Additional filters such as regime strength, cooldown logic, and trend lock are not separate indicators. They are execution safeguards to prevent false entries and overtrading. All components work together as part of a unified regime detection framework. There is no indicator stacking, curve fitting, or arbitrary combination of unrelated tools. Key Features * Non repainting signals * Candle close confirmation only * Regime based directional detection * Trend continuation capture * Regime reversal detection * Chop avoidance logic * Futures and options compatible * Institutional bias aligned logic How to use for Futures trading LONG Futures signal appears when: * Price is above VWAP * Price is above trend EMA * Momentum confirms bullish regime * Price breaks recent structure high This indicates bullish institutional regime. SHORT Futures signal appears when: * Price is below VWAP * Price is below trend EMA * Momentum confirms bearish regime * Price breaks recent structure low This indicates bearish institutional regime. Entry execution: Enter at candle close when signal appears. Stop loss: LONG trade stop loss below signal candle low SHORT trade stop loss above signal candle high Target: Minimum 1.5 times stop loss distance How to use for option selling Futures signals directly map to option selling direction. LONG signal: Market regime is bullish Sell PUT option Recommended delta range: 0.20 to 0.30 delta Example: If NIFTY is at 25000 Sell 24800 PE or 24700 PE SHORT signal: Market regime is bearish Sell CALL option Recommended delta range: 0.20 to 0.30 delta Example: If NIFTY is at 25000 Sell 25200 CE or 25300 CE Avoid selling ATM options for safety. Input Configuration Guide Trend EMA Length: Controls trend sensitivity. Default 50 recommended. RSI Length: Momentum measurement period. Default 14 recommended. Structure Length: Determines breakout sensitivity. Default 10 recommended. ADX Strength Filter: Filters weak regime conditions. Helps avoid chop markets. VWAP Distance Filter: Prevents entering when price is overextended from institutional value. Cooldown Bars: Prevents repeated entries during same trend. Trend Lock: Prevents rapid signal flipping in noisy conditions. Default settings are optimized for 5 minute timeframe. Recommended Markets and Timeframes Best instruments: NIFTY futures BANKNIFTY futures Liquid stock futures Best timeframes: 5 minute for balanced trading 15 minute for safer swing trading 3 minute for aggressive intraday trading Expected behavior Strategy performs best in trending markets. During sideways or low volatility markets, signals will reduce significantly. This is intentional and helps avoid false trades. The strategy focuses on quality over quantity. FAQ Does this repaint No. All signals are confirmed at candle close and never change after appearing. Can this be used for option selling Yes. Futures signals can be directly used to sell PUT or CALL options based on regime direction. Does this work on all stocks Works best on liquid futures and index instruments. Can this be used for automation Yes. Logic can be mapped to automated execution platforms. Why are there fewer signals This is intentional. The strategy avoids low probability trades. Glossary VWAP Volume weighted average price. Represents institutional fair value. EMA Exponential moving average. Used to identify trend direction. Regime Market state indicating bullish, bearish, or neutral conditions. Momentum Measurement of strength behind price movement. Structure breakout Price breaking recent highs or lows indicating directional continuation. Delta Option sensitivity to price movement. Used to select strike distance.
Pine Script®策略
由kedarcquant提供
Advanced Divergence Hunter [JOAT]Advanced Divergence Hunter Introduction The Advanced Divergence Hunter is an open-source multi-oscillator indicator that simultaneously tracks divergences across six different momentum indicators: RSI, MACD, Stochastic RSI, CCI, MFI, and Williams %R. This mashup creates a comprehensive divergence detection system designed to identify momentum exhaustion and potential reversals by analyzing when multiple oscillators simultaneously show divergence from price action. The indicator addresses a critical limitation of single-oscillator divergence detection: false signals. By requiring confluence across multiple oscillators using different calculation methods, this tool significantly reduces false divergence signals and highlights only the most reliable momentum exhaustion patterns that occur when price and momentum fundamentally disconnect across multiple measurement frameworks. Chart showing multiple divergence signals across oscillators with dashboard on 1H timeframe Why This Mashup Exists This indicator combines six oscillators that detect divergences using fundamentally different methodologies: RSI: Momentum oscillator based on average gains vs losses MACD: Trend-following momentum using EMA convergence/divergence Stochastic RSI: Stochastic calculation applied to RSI for enhanced sensitivity CCI (Commodity Channel Index): Measures deviation from statistical mean MFI (Money Flow Index): Volume-weighted RSI showing buying/selling pressure Williams %R: Momentum indicator measuring overbought/oversold using highest high/lowest low Each oscillator responds to different market dynamics: RSI tracks momentum speed, MACD shows trend strength changes, Stochastic RSI catches early shifts, CCI identifies statistical extremes, MFI incorporates volume, and Williams %R uses price extremes. When multiple oscillators show divergence simultaneously, it indicates genuine momentum exhaustion rather than noise from a single calculation method. The mashup is justified because these oscillators use distinct mathematical approaches (rate of change, moving average convergence, stochastic, statistical deviation, volume-weighted, price extremes) that respond to different aspects of price movement. Confluence across multiple methods provides significantly higher reliability than any single divergence signal. Example showing all six oscillators with divergence markers and alignment indicators Core Components Explained 1. RSI Divergence Detection Standard RSI calculation with pivot-based divergence logic: rsi = ta.rsi(close, 14) // Identify swing points pivotHigh = ta.pivothigh(rsi, 5, 5) pivotLow = ta.pivotlow(rsi, 5, 5) // Regular Bullish Divergence // Price: Lower Low, RSI: Higher Low bullDiv = priceLow < prevPriceLow AND rsiLow > prevRSILow // Regular Bearish Divergence // Price: Higher High, RSI: Lower High bearDiv = priceHigh > prevPriceHigh AND rsiHigh < prevRSIHigh 2. MACD Histogram Divergence MACD histogram divergences often lead price divergences: = ta.macd(close, 12, 26, 9) // Histogram divergence detection // Bullish: Price LL, Histogram HL // Bearish: Price HH, Histogram LH The indicator plots MACD histogram with enhanced visualization and tracks divergences separately from RSI. 3. Stochastic RSI Divergence More sensitive than regular RSI, catches early momentum shifts: stochRSI = ta.stoch(rsi, rsi, rsi, 14) // K and D line divergences // Often diverges before regular RSI Stochastic RSI K and D lines are plotted, and divergences on both lines are tracked independently. 4. CCI Divergence Detection CCI measures price deviation from statistical mean: cci = ta.cci(close, 20) // CCI divergences indicate statistical exhaustion // Bullish: Price LL, CCI HL // Bearish: Price HH, CCI LH CCI divergences are particularly reliable at extreme levels (> +100 or < -100). 5. MFI Divergence (Volume-Weighted) MFI incorporates volume, making divergences more significant: // Calculate typical price typicalPrice = (high + low + close) / 3 // Money flow with volume rawMoneyFlow = typicalPrice * volume // MFI calculation mfi = 100 - (100 / (1 + positiveFlow / negativeFlow)) // Volume divergences often lead price // Bullish: Price LL, MFI HL (buying pressure increasing) // Bearish: Price HH, MFI LH (selling pressure increasing) MFI divergences are weighted more heavily in the confluence system because they incorporate volume. 6. Williams %R Divergence Williams %R uses highest high and lowest low: williamsR = -100 * (ta.highest(high, 14) - close) / (ta.highest(high, 14) - ta.lowest(low, 14)) // Divergences at extreme levels (-80 to -100 or -20 to 0) // Bullish: Price LL, Williams %R HL // Bearish: Price HH, Williams %R LH Williams %R divergences are most reliable when oscillator is in extreme zones. Divergence Confluence System The indicator tracks divergences across all six oscillators and calculates confluence: Divergence Confluence Score: - Single oscillator divergence: 1 point - Two oscillators: 2 points - Three oscillators: 4 points - Four oscillators: 7 points - Five oscillators: 11 points - All six oscillators: 15 points (MEGA divergence) Divergence classification: Weak Divergence: 1-2 oscillators (score 1-2) Moderate Divergence: 3 oscillators (score 4) Strong Divergence: 4 oscillators (score 7) Very Strong Divergence: 5 oscillators (score 11) MEGA Divergence: All 6 oscillators (score 15) The dashboard displays which oscillators are showing divergence and the total confluence score. Oscillator Alignment Analysis Beyond divergences, the indicator tracks oscillator alignment: Alignment Score: - RSI in healthy range (40-60 bull, 60-40 bear): +1 - MACD histogram direction: +1 - Stochastic RSI position: +1 - CCI direction: +1 - MFI level: +1 - Williams %R position: +1 Total Alignment: 0-6 points Alignment interpretation: 5-6 aligned: Strong momentum consensus 3-4 aligned: Moderate momentum 0-2 aligned: Weak or conflicting momentum Enhanced Dashboard System The indicator features an 11-row dashboard showing: Row 1: Overall momentum direction (BULL/BEAR/NEUTRAL) Row 2: Divergence confluence score with color coding Row 3: RSI value and divergence status Row 4: MACD histogram status Row 5: Stochastic RSI K value Row 6: CCI value and status Row 7: MFI value and divergence status Row 8: Williams %R value Row 9: Momentum strength (0-100) Row 10: Oscillator alignment (X/6 aligned) Row 11: Active divergences count Dashboard showing divergence confluence with individual oscillator breakdown Visual Elements Oscillator Lines: All six oscillators plotted with distinct colors Divergence Labels: "DIV" markers at divergence points, sized by confluence Confluence Markers: Large diamond shapes for MEGA divergences (6/6) Background Zones: Color-coded backgrounds for extreme conditions Overbought/Oversold Lines: Reference levels for each oscillator Zero/Midpoint Lines: Centerline references Histogram Bars: MACD histogram with gradient coloring Dashboard: Comprehensive table with all oscillator readings How Components Work Together The mashup creates layered divergence analysis: Layer 1 - Individual Detection: Each oscillator independently detects divergences Layer 2 - Confluence Calculation: System counts how many oscillators show divergence Layer 3 - Weighting: Volume-based divergences (MFI) weighted more heavily Layer 4 - Alignment Check: Verifies overall oscillator consensus Layer 5 - Extreme Zones: Identifies when divergences occur at statistical extremes Layer 6 - Signal Generation: Produces graded signals based on confluence strength Example scenario: Price makes higher high, but RSI, MACD, Stochastic RSI, and MFI all make lower highs (4/6 divergence). CCI and Williams %R are in extreme overbought zones. Confluence score is 7 (Strong Divergence), and dashboard shows 4 active divergences. This signals high-probability bearish reversal setup. Input Parameters Oscillator Settings: RSI Length: Period for RSI (default: 14) MACD Settings: Fast 12, Slow 26, Signal 9 Stochastic RSI Length: Period for Stoch RSI (default: 14) CCI Length: Period for CCI (default: 20) MFI Length: Period for MFI (default: 14) Williams %R Length: Period for Williams %R (default: 14) Divergence Settings: Pivot Lookback: Bars for pivot detection (default: 5) Min Confluence: Minimum oscillators for signal (default: 3) Show All Divergences: Display single-oscillator divergences (default: disabled) Show Only Strong: Display only 4+ confluence (default: enabled) Display Options: Show Dashboard: Toggle dashboard (default: enabled) Show Oscillators: Toggle oscillator plots (default: enabled) Show Background Zones: Toggle extreme zone coloring (default: enabled) Dashboard Position: Top-right, bottom-right, etc. How to Use This Indicator Step 1: Monitor Divergence Confluence Watch the dashboard divergence score. Wait for 3+ oscillators showing divergence (score 4+) before considering reversal trades. Step 2: Check Oscillator Extremes Divergences are most reliable when oscillators are in extreme zones (RSI > 70 or < 30, MFI > 80 or < 20, etc.). Step 3: Verify Alignment Check oscillator alignment score. Low alignment (0-2) with high divergence confluence suggests strong reversal potential. Step 4: Identify MEGA Divergences When all 6 oscillators show divergence (MEGA), it signals extremely high probability reversal setup. These are rare but very reliable. Step 5: Confirm with Price Action Wait for price action confirmation (reversal candlestick patterns, trendline breaks) before entering trades based on divergences. Step 6: Use for Exit Signals If holding trend-following position and strong divergence appears, consider taking profits or tightening stops. Best Practices Use on 15-minute to 4-hour timeframes for optimal divergence reliability Wait for 3+ oscillator confluence before acting on divergence signals MEGA divergences (6/6) are rare but extremely reliable - don't ignore them MFI divergences are particularly significant because they incorporate volume Divergences in strong trends often lead to pullbacks, not full reversals Combine with support/resistance levels for precise entry timing Hidden divergences signal trend continuation, regular divergences signal reversal Multiple consecutive divergences increase reversal probability Use oscillator alignment to gauge overall momentum health Indicator Limitations Divergences can persist for extended periods before reversal occurs Strong trends can continue despite multiple oscillator divergences Pivot-based detection means divergences are confirmed with lag False divergences can occur in choppy, ranging markets MEGA divergences are rare - waiting only for these may miss opportunities Oscillator calculations vary in sensitivity - some may diverge prematurely Requires understanding of each oscillator's characteristics No divergence system eliminates false signals entirely Performance varies across different markets and volatility regimes Technical Implementation Built with Pine Script v6 using: Six independent oscillator calculations Pivot-based divergence detection for each oscillator Confluence scoring algorithm with weighted components Oscillator alignment tracking system Enhanced 11-row dashboard with real-time updates Dynamic background zones for extreme conditions Anti-overlap logic for divergence labels Gradient coloring for MACD histogram The code is fully open-source and can be modified to adjust oscillator parameters, confluence thresholds, and visual preferences. Originality Statement This indicator is original in its multi-oscillator divergence confluence approach. While individual oscillators (RSI, MACD, Stochastic RSI, CCI, MFI, Williams %R) are established tools, this mashup is justified because: It tracks divergences across six oscillators using fundamentally different calculations The confluence scoring system quantifies divergence strength across multiple methods Integration of volume-weighted divergence (MFI) with price-based oscillators Oscillator alignment analysis provides momentum consensus measurement Enhanced dashboard presents complex multi-oscillator data clearly MEGA divergence detection identifies extremely rare, high-probability setups Each oscillator contributes unique divergence information: RSI shows momentum speed divergence, MACD shows trend strength divergence, Stochastic RSI catches early divergences, CCI shows statistical divergence, MFI shows volume-weighted divergence, and Williams %R shows price extreme divergence. The mashup's value lies in identifying when multiple independent calculation methods simultaneously show momentum exhaustion, significantly reducing false signals. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Divergence indicators are analytical tools that identify potential momentum exhaustion, not guarantees of reversals. Divergences can persist for extended periods, and strong trends can continue despite multiple divergence signals. Past divergence performance does not guarantee future results. The confluence score is a mathematical calculation based on current oscillator readings, not a prediction of future price movement. High confluence scores do not ensure profitable trades. Market conditions change, and divergence patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
VWDMD Pro: Precision Divergence & VolatilityVWDMD Pro: Volume-Weighted Dynamic Momentum & Divergence What is VWDMD Pro? VWDMD (Volume-Weighted Dynamic Momentum Index) is an advanced momentum oscillator designed to filter out market noise by integrating price action with logarithmic volume analysis. Unlike traditional oscillators (like RSI or Stochastic) that treat every price move equally, VWDMD assigns higher significance to moves backed by institutional volume. The Problem It Solves Most momentum indicators suffer from two main issues: Lags and Noise: Standard oscillators often provide false signals during low-volatility periods. Fixed Thresholds: Static Overbought/Oversold levels (like 70/30) fail to adapt to changing market volatility. VWDMD Pro addresses these by: Using Logarithmic Volume Sensitivity to prioritize "heavy" price moves. Implementing Adaptive Volatility Bands based on Standard Deviation, which expand and contract according to market conditions. Filtering signals through a Global Trend Filter (200 EMA) to ensure you are not trading against the primary market direction. How to Use and Interpret This script identifies four types of high-probability divergences: Regular Bullish (BUY): Price makes a Lower Low, but VWDMD makes a Higher Low. Signals a potential trend reversal to the upside. Regular Bearish (SELL): Price makes a Higher High, but VWDMD makes a Lower High. Signals a potential trend reversal to the downside. Hidden Bullish (H-BUY): Price makes a Higher Low, but VWDMD makes a Lower Low. This is a powerful trend continuation signal. Hidden Bearish (H-SELL): Price makes a Lower High, but VWDMD makes a Higher High. Confirms that the downtrend is likely to continue. Key Features Dynamic Histogram: Colors change based on momentum slope (darker colors indicate weakening momentum). Trend Context Background: The chart background is colored based on the 200 EMA to keep you on the right side of the trend. Auto-Drawing Lines: Divergence lines are automatically plotted on the oscillator for clear visualization. Real-time Dashboard: A compact UI showing current Trend and Momentum status. Best Practices for Trading Higher Timeframes: Works best on 1H, 4H, and Daily charts for US500, Gold, and Major Forex pairs. Trend Alignment: Prioritize Hidden Divergences when the background is Green (Bullish) or Red (Bearish). These are often the most reliable "dip-buying" opportunities. Confirmation: Use the Overbought/Oversold triangle markers as initial warnings, but wait for a Divergence label for entry confirmation.
Pine Script®指標
由mehmetbezgincan提供
VuMan-Oscillator-Matrix-Pro w/RSIThis Oscillator was built from 3 different indicators The Base Indicator is Oscillator Matrix by R2D2_4Life The 2nd Part is the Money Flow Index from VuManChu B Divergences and the 3rd is the stock Tradingview RSI indicator Thanks to R2D2_4life and VuManChu we can have the best of both worlds Try this indicator at your own risk I am not a programmer the code is opensource and free to use by anyone enjoy!! The best way to use this indicator is to use it with divergences on the wave trend money flow index and rsi. wave trend divergences are plotted with red and green triangles on the top for bearish and bottom for bullish the rsi divergences are also plotted by default on the top portion of the indicator if you are familiar with the Oscillator Matrix or VuManChu CipherB indicators the concept is the same the MFI and Hyper Wave trend settings can be customized in the settings Happy Trading
Pine Script®指標
由Skippy-trading提供
Regime Switching [Pointalgo]Regime Switching Regime Switching is a market condition classifier designed to automatically detect whether price is in a Trending, Ranging (Mean Reversion), or Neutral/Noise environment. Instead of applying one strategy to all conditions, this script adapts its visual tools and signals based on the detected regime. How It Works: 1. ADX (Trend Strength) Measures directional strength. Higher values indicate stronger trends. 2. Efficiency Ratio (Kaufman Concept) Compares net price movement to total movement. High efficiency → directional move Low efficiency → choppy movement Using these two inputs, the script classifies the market into: TRENDING → Strong ADX + Efficient movement RANGING → Weak ADX + Inefficient movement NOISE → Transitional / unclear conditions Adaptive Visual System: The indicator automatically switches tools depending on the regime: Trending Mode Displays Donchian Channel (20-period highs/lows) Highlights breakout conditions Green background shading Ranging Mode Displays Bollinger Bands (20, 2 standard deviations) Highlights fade/reversal conditions Blue background shading Noise Mode 1.Neutral background 2.No active channel emphasis Signal Logic: Breakout above previous Donchian high Breakdown below previous Donchian low Range Mode: Buy when price crosses above lower Bollinger Band Sell when price crosses below upper Bollinger Band Signals are informational and intended for study and research. Dashboard: The built-in table shows: 1. Current detected regime 2. Efficiency value 3. State color coding This allows quick interpretation of market condition at a glance. Disclaimer: This script is for educational and research purposes only. It does not constitute financial advice or a trading recommendation. Always test and validate strategies before live trading.
Pine Script®指標
由pointalgo提供
Dynamic RSI Level + Divergence [Metrify]This script provides a customized approach to tracking RSI divergence by replacing static overbought and oversold levels with dynamic volatility bands. Standard oscillators often fail during strong trends by staying pinned above 70 or below 30, producing premature signals. To handle this, the indicator calculates a moving baseline for the RSI and wraps it in standard deviation bands. This allows the overbought and oversold boundaries to adapt to the current market situation. Does the divergence delayed? No. The divergence label is printed exactly at the bar where the condition becomes valid. There is no forward confirmation or repaint shifting. This honest approach may produce losing signals in strong trends, but it preserves the integrity of real-time detection. Divergence filters (optional, set this to 0 to avoid the filter): Min RSI Diff (Steepness) -> requires sufficient vertical gap between RSI pivots to avoid weak, flat divergences. Min Price Diff -> minimum price to move a meaningful distance (relative to ATR) between both pivots.
Pine Script®指標
由Metrify提供
Stochastic Momentum Index - SMI | TR🎯 Overview Stochastic Momentum Index - SMI | TR is a refined momentum oscillator that measures the position of the closing price relative to the midpoint of the recent high-low range. Developed by Tiagorocha1989, this enhanced version of William Blau's Stochastic Momentum Index offers dual-mode operation with moving average customization and comprehensive visual features, helping traders identify momentum shifts, overbought and oversold conditions, and potential reversal points with greater precision than traditional stochastic oscillators. 🔧 How It Works The Stochastic Momentum Index (SMI) is an evolution of the traditional stochastic oscillator. While standard stochastic measures where price closes within the recent high-low range, the SMI measures where price closes relative to the midpoint of that range, providing a more balanced view of momentum. Core Calculation Logic: The indicator calculates the SMI using the standard stochastic formula: Stochastic = (Current Close - Lowest Low) / (Highest High - Lowest Low) × 100 Where the highest high and lowest low are determined over the specified Length SMI period The resulting oscillator oscillates between 0 and 100, with: Readings above 50 indicating price is closing in the upper half of the recent range (bullish momentum) Readings below 50 indicating price is closing in the lower half of the recent range (bearish momentum) Readings above 80 suggesting overbought conditions Readings below 20 suggesting oversold conditions The indicator compares SMI to a reference line that can be either: The traditional 50 level (centerline) A user-defined moving average of the SMI itself (SMI MA mode) ✨ Key Features 🔹 Dual Operating Modes 50 Level Mode: Classic SMI implementation where signals occur when the SMI crosses above or below the 50 centerline, indicating momentum shifts SMI MA Mode: Enhanced version where signals occur when SMI crosses its own moving average, providing smoother, filtered entries 🔹 Flexible Moving Average Selection Choose from six MA types for the SMI MA mode: EMA (Exponential Moving Average) for responsive signals SMA (Simple Moving Average) for smoother readings RMA (Rolling Moving Average) for weighted recent data WMA (Weighted Moving Average) for customizable weighting VWMA (Volume-Weighted Moving Average) incorporating volume HMA (Hull Moving Average) for reduced lag 🔹 Customizable SMI Parameters Length SMI: Lookback period for SMI calculation (default 101) Source SMI: Price source for calculations (default Close) 🔹 Extended Lookback Period The default length of 101 makes this version particularly suitable for longer-term trend identification and filtering out short-term market noise. 🔹 Customizable Color Themes Eight distinct color schemes to match your charting preferences: Classic – Green for bullish, Red for bearish Modern – White for bullish, Purple for bearish Robust – Amber for bullish, Maroon for bearish Accented – Violet for bullish, Pink for bearish Monochrome – Light gray for bullish, Dark gray for bearish Moderate – Green for bullish, Red for bearish Aqua – Blue for bullish, Orange for bearish Cosmic – Pink for bullish, Purple for bearish 🔹 Comprehensive Visual Feedback Colored SMI Line: Changes color based on position relative to the reference line Signal Line: Yellow line showing 50 or MA reference Gradient Fill Zones: Clear visualization of overbought (above 80) and oversold (below 20) conditions Dynamic Zone Fills: Semi-transparent fills showing when SMI is above or below the reference line Color-Coded Candles: Bars reflect current SMI bias (above or below reference) Signal Markers: Triangle up/down symbols at crossover points Live Value Display: Current SMI value shown in a floating label Trend Table: Bullish/Bearish status displayed on the chart 🔹 Ready-to-Use Alerts Built-in alert conditions trigger LONG signals on bullish crossovers and SHORT signals on bearish crossunders across both operating modes. ⚙️ Settings Summary Color Choice: Select from eight visual themes (Default: Classic) Length SMI: Lookback period for SMI calculation (Default: 101) Source SMI: Price source for calculations (Default: Close) Entry/Exit Signal: Choose between 50 level or SMI MA mode (Default: 50) Length MA: Moving average period for SMI MA mode (Default: 365) SMI MA Type: Moving average method for signal line (Default: EMA) 📈 Practical Applications 🔹 Overbought/Oversold Detection Traditional SMI usage identifies extreme conditions: Readings above 80 suggest overbought conditions and potential reversal down Readings below 20 suggest oversold conditions and potential reversal up The indicator provides gradient fills in these zones for visual clarity The long default period (101) makes these signals more significant and less frequent 🔹 Centerline Crossovers In 50 Level mode, crossovers provide momentum signals: Crossover above 50 → Bullish momentum strengthening Crossunder below 50 → Bearish momentum strengthening These signals often confirm trend direction changes 🔹 Signal Line Crossovers In SMI MA mode, crossovers between SMI and its moving average provide filtered signals that reduce whipsaws in ranging markets while maintaining sensitivity in trends. 🔹 Divergence Trading SMI is excellent for spotting divergences: Bullish Divergence: Price makes lower low, SMI makes higher low → Potential upside reversal Bearish Divergence: Price makes higher high, SMI makes lower high → Potential downside reversal Divergences are most significant when occurring at extreme levels (above 80 or below 20) 🔹 Trend Confirmation The position of SMI relative to 50 confirms trend direction: SMI consistently above 50 confirms uptrend SMI consistently below 50 confirms downtrend The extended 101-period length ensures these signals reflect meaningful trends 🔹 Momentum Reversal Signals Watch for SMI turning up from oversold levels or turning down from overbought levels: Turn up from below 20 → Potential bullish reversal Turn down from above 80 → Potential bearish reversal 🔹 Multiple Timeframe Analysis Compare SMI readings across different timeframes: Higher timeframe SMI confirms primary trend direction Lower timeframe SMI identifies entry timing and short-term momentum 🎯 Ideal For ✅ Long-Term Traders seeking to identify major trend shifts with reduced noise ✅ Swing Traders wanting to capture medium to long-term momentum shifts ✅ Divergence Traders looking for reliable reversal signals ✅ Position Traders needing confirmation of trend strength and direction ✅ System Developers needing robust, smoothed momentum signals ✅ Trend Followers wanting to avoid false signals in choppy markets 📌 Key Takeaways Extended Lookback Period: The default length of 101 makes this indicator particularly effective for filtering out short-term noise and identifying significant trend movements Midpoint Focus: By measuring price relative to the midpoint of the range (rather than just the range extremes), SMI provides a more balanced view of momentum than traditional stochastic Dual-Mode Flexibility: Choose between classic 50-level crossovers for traditional signals or MA-smoothed signals for filtered entries Comprehensive Visualization: Color themes, gradient fills for overbought/oversold zones, candles, and labels provide immediate market awareness Divergence Capability: Excellent for spotting both regular and hidden divergences that signal trend reversals or continuations Alert-Ready: Built-in alerts for both LONG and SHORT signals across both operating modes ⚠️ Important Notes The long default length (101) makes this SMI variant much smoother than traditional stochastic settings (typically 14). This reduces false signals but also makes the indicator slower to react to short-term price changes. The 365-day MA default in SMI MA mode is designed for longer-term trend context on daily charts. Readings above 80 and below 20 are significant but may persist during strong trends; consider combining with trend filters. Divergences are most reliable when they occur at extreme readings. Always combine with proper risk management and additional confirmation for best results. Disclaimer: This indicator is provided for educational and informational purposes only. Past performance is not indicative of future results. Always conduct thorough testing and align with your risk management strategy before live deployment.
Pine Script®指標
由Tiagorocha1989提供
Momentum - MOM | TR🎯 Overview Momentum - MOM | TR is a classic and intuitive momentum oscillator that measures the rate of change in price over a specified period. Developed by Tiagorocha1989, this enhanced version of the traditional Momentum indicator offers dual-mode operation with moving average customization and comprehensive visual features, helping traders identify trend strength, momentum shifts, and potential reversal points with clarity and precision. 🔧 How It Works The Momentum indicator calculates the absolute difference between the current price and the price from a specified number of periods ago. This simple yet powerful calculation reveals whether prices are accelerating (increasing momentum) or decelerating (decreasing momentum). Core Calculation Logic: The indicator calculates Momentum using the standard formula: Momentum = Current Price - Price n-periods ago Where n is the user-defined Length MOM The resulting oscillator fluctuates around zero, with: Positive Momentum values indicating that prices are higher than they were n-periods ago (upward momentum) Negative Momentum values indicating that prices are lower than they were n-periods ago (downward momentum) Zero line representing no net change over the period The magnitude of the value indicates momentum strength: Large positive values → Strong upward momentum Large negative values → Strong downward momentum Values approaching zero → Weakening momentum or consolidation The indicator compares Momentum to a reference line that can be either: The traditional zero level A user-defined moving average of Momentum itself (MOM MA mode) ✨ Key Features 🔹 Dual Operating Modes Zero Line Mode: Classic Momentum implementation where signals occur when Momentum crosses above or below the zero line MOM MA Mode: Enhanced version where signals occur when Momentum crosses its own moving average, providing smoother, filtered entries 🔹 Flexible Moving Average Selection Choose from six MA types for the MOM MA mode: EMA (Exponential Moving Average) for responsive signals SMA (Simple Moving Average) for smoother readings RMA (Rolling Moving Average) for weighted recent data WMA (Weighted Moving Average) for customizable weighting VWMA (Volume-Weighted Moving Average) incorporating volume HMA (Hull Moving Average) for reduced lag 🔹 Customizable Momentum Parameters Length MOM: Lookback period for Momentum calculation (default 36) Source MOM: Price source for calculations (default Close) 🔹 Extended Range Visualization The indicator includes gradient fills at +/-6000, providing clear visualization of extreme momentum readings regardless of the instrument's price level. 🔹 Customizable Color Themes Eight distinct color schemes to match your charting preferences: Classic – Green for bullish, Red for bearish Modern – White for bullish, Purple for bearish Robust – Amber for bullish, Maroon for bearish Accented – Violet for bullish, Pink for bearish Monochrome – Light gray for bullish, Dark gray for bearish Moderate – Green for bullish, Red for bearish Aqua – Blue for bullish, Orange for bearish Cosmic – Pink for bullish, Purple for bearish 🔹 Comprehensive Visual Feedback Colored Momentum Line: Changes color based on position relative to the reference line Signal Line: Yellow line showing zero or MA reference Gradient Fill Zones: Clear visualization of extreme momentum readings Dynamic Zone Fills: Semi-transparent fills showing when Momentum is above or below the reference line Color-Coded Candles: Bars reflect current Momentum bias (above or below reference) Signal Markers: Triangle up/down symbols at crossover points Live Value Display: Current Momentum value shown in a floating label Trend Table: Bullish/Bearish status displayed on the chart 🔹 Ready-to-Use Alerts Built-in alert conditions trigger LONG signals on bullish crossovers and SHORT signals on bearish crossunders across both operating modes. ⚙️ Settings Summary Color Choice: Select from eight visual themes (Default: Classic) Length MOM: Lookback period for Momentum calculation (Default: 36) Source MOM: Price source for calculations (Default: Close) Entry/Exit Signal: Choose between zero line or MOM MA mode (Default: Zero Line) Length MA: Moving average period for MOM MA mode (Default: 365) MOM MA Type: Moving average method for signal line (Default: EMA) 📈 Practical Applications 🔹 Trend Direction Identification The Momentum line's position relative to zero indicates trend direction: Momentum above zero → Bullish trend Momentum below zero → Bearish trend The steepness of the slope indicates momentum strength 🔹 Zero Line Crossovers In Zero Line mode, crossovers provide momentum signals: Crossover above zero → Bullish momentum strengthening, potential trend reversal up Crossunder below zero → Bearish momentum strengthening, potential trend reversal down These are among the simplest and most intuitive trading signals 🔹 Signal Line Crossovers In MOM MA mode, crossovers between Momentum and its moving average provide filtered signals: Momentum crosses above its MA → Bullish signal Momentum crosses below its MA → Bearish signal These signals reduce whipsaws in choppy markets 🔹 Divergence Trading Momentum is excellent for spotting divergences: Bullish Divergence: Price makes lower low, Momentum makes higher low → Potential upside reversal Bearish Divergence: Price makes higher high, Momentum makes lower high → Potential downside reversal Divergences are most significant when occurring at extreme levels 🔹 Momentum Confirmation The slope and magnitude of Momentum confirm trend strength: Rising Momentum values → Strengthening bullish momentum Falling Momentum values → Strengthening bearish momentum Flattening Momentum → Momentum slowing, potential trend change 🔹 Centerline Rejections When Momentum approaches zero but reverses before crossing, it can signal trend continuation: Momentum pulls back toward zero but reverses up → Bullish continuation Momentum rallies toward zero but reverses down → Bearish continuation 🔹 Multiple Timeframe Analysis Compare Momentum readings across different timeframes: Higher timeframe Momentum confirms primary trend direction Lower timeframe Momentum identifies entry timing and short-term momentum shifts 🎯 Ideal For ✅ Trend Traders seeking to confirm trend direction and strength ✅ Momentum Traders wanting to measure the rate of price change ✅ Divergence Traders looking for early reversal signals ✅ Swing Traders capturing medium-term momentum shifts ✅ System Developers needing simple, reliable crossover logic ✅ Beginner Traders starting with one of the most intuitive indicators 📌 Key Takeaways Simplicity and Intuition: Momentum is one of the most straightforward indicators, measuring exactly what its name suggests Dual-Mode Flexibility: Choose between classic zero-line crossovers for simplicity or MA-smoothed signals for filtered entries Unbounded Nature: Unlike RSI or Stochastic, Momentum has no upper or lower limits, making it suitable for strongly trending markets Comprehensive Visualization: Color themes, gradient fills for extreme readings, candles, and labels provide immediate market awareness Divergence Capability: Excellent for spotting both regular and hidden divergences Alert-Ready: Built-in alerts for both LONG and SHORT signals across both operating modes ⚠️ Important Notes Because Momentum is unbounded, the scale will vary significantly between different instruments and timeframes. The gradient fills at +/-6000 are arbitrary reference points and may not represent actual overbought/oversold conditions for all instruments. The default length of 36 provides a medium-term perspective; shorter lengths (9-14) provide more responsive signals, while longer lengths identify longer-term trends. The 365-day MA default in MOM MA mode is designed for longer-term trend context on daily charts. Divergences are most reliable when they occur after extended trends. Always combine with proper risk management and additional confirmation for best results. Disclaimer: This indicator is provided for educational and informational purposes only. Past performance is not indicative of future results. Always conduct thorough testing and align with your risk management strategy before live deployment.
Pine Script®指標
由Tiagorocha1989提供
TRIX | TR🎯 Overview TRIX | TR is a sophisticated momentum oscillator that applies triple smoothing to price data to filter out insignificant price movements and identify meaningful trend changes. Developed by Tiagorocha1989, this enhanced version of Jack Hutson's classic TRIX indicator offers dual-mode operation with customizable moving averages and comprehensive visual features, helping traders identify trend direction, momentum shifts, and potential reversal points with reduced noise and greater precision. 🔧 How It Works The TRIX indicator applies triple exponential smoothing to price data, then calculates the percentage rate of change of this smoothed series. This process eliminates short-term cycles and noise while highlighting the underlying trend and momentum. Core Calculation Logic: The indicator follows a multi-step smoothing process: Logarithmic Transformation: The price source is converted to its natural logarithm (math.log), which helps normalize percentage changes and makes the indicator responsive to proportional price movements. Triple Smoothing: The log price undergoes three consecutive smoothing operations using a user-selectable moving average: First smoothing (ma1): Applied to the log price Second smoothing (ma2): Applied to ma1 Third smoothing (ma3): Applied to ma2 Rate of Change Calculation: TRIX is calculated as the percentage rate of change of the triple-smoothed series: TRIX = 10000 × (ma3 - ma3 ) The multiplication by 10000 scales the values for better visibility The resulting oscillator fluctuates around zero, with: Positive TRIX values indicating upward momentum Negative TRIX values indicating downward momentum Zero line crossovers signaling potential trend changes The indicator compares TRIX to a reference line that can be either: The traditional zero level A user-defined moving average of TRIX itself (TRIX MA mode) ✨ Key Features 🔹 Dual Operating Modes Zero Line Mode: Classic TRIX implementation where signals occur when TRIX crosses above or below the zero line TRIX MA Mode: Enhanced version where signals occur when TRIX crosses its own moving average, providing smoother, filtered entries 🔹 Flexible Moving Average Selection Choose from six MA types for both the triple smoothing and the signal line: EMA (Exponential Moving Average) for responsive signals SMA (Simple Moving Average) for smoother readings RMA (Rolling Moving Average) for weighted recent data WMA (Weighted Moving Average) for customizable weighting VWMA (Volume-Weighted Moving Average) incorporating volume HMA (Hull Moving Average) for reduced lag 🔹 Customizable TRIX Parameters Length TRIX: Lookback period for the moving averages (default 18) Source TRIX: Price source for calculations (default Close) MA Type: Moving average method used for all three smoothing steps 🔹 Logarithmic Processing By applying TRIX to log prices rather than raw prices, the indicator responds proportionally to percentage changes, making it more consistent across different price levels and instruments. 🔹 Customizable Color Themes Eight distinct color schemes to match your charting preferences: Classic – Green for bullish, Red for bearish Modern – White for bullish, Purple for bearish Robust – Amber for bullish, Maroon for bearish Accented – Violet for bullish, Pink for bearish Monochrome – Light gray for bullish, Dark gray for bearish Moderate – Green for bullish, Red for bearish Aqua – Blue for bullish, Orange for bearish Cosmic – Pink for bullish, Purple for bearish 🔹 Comprehensive Visual Feedback Colored TRIX Line: Changes color based on position relative to the reference line Signal Line: Yellow line showing zero or MA reference Gradient Fill Zones: Clear visualization of extreme readings (+100 to -100) Dynamic Zone Fills: Semi-transparent fills showing when TRIX is above or below the reference line Color-Coded Candles: Bars reflect current TRIX bias (above or below reference) Signal Markers: Triangle up/down symbols at crossover points Live Value Display: Current TRIX value shown in a floating label Trend Table: Bullish/Bearish status displayed on the chart 🔹 Ready-to-Use Alerts Built-in alert conditions trigger LONG signals on bullish crossovers and SHORT signals on bearish crossunders across both operating modes. ⚙️ Settings Summary Color Choice: Select from eight visual themes (Default: Classic) Length TRIX: Lookback period for the triple smoothing (Default: 18) Source TRIX: Price source for calculations (Default: Close) Entry/Exit Signal: Choose between zero line or TRIX MA mode (Default: Zero Line) MA Type: Moving average method for all smoothing steps (Default: EMA) Length MA TRIX: Moving average period for TRIX MA mode (Default: 365) 📈 Practical Applications 🔹 Trend Direction Identification The TRIX line's position relative to zero indicates trend direction: TRIX above zero → Bullish trend TRIX below zero → Bearish trend The steepness of the slope indicates momentum strength 🔹 Zero Line Crossovers In Zero Line mode, crossovers provide momentum signals: Crossover above zero → Bullish momentum strengthening, potential trend reversal up Crossunder below zero → Bearish momentum strengthening, potential trend reversal down These signals often lead traditional moving average crossovers 🔹 Signal Line Crossovers In TRIX MA mode, crossovers between TRIX and its moving average provide filtered signals: TRIX crosses above its MA → Bullish signal TRIX crosses below its MA → Bearish signal These signals reduce whipsaws in choppy markets 🔹 Divergence Trading TRIX is excellent for spotting divergences: Bullish Divergence: Price makes lower low, TRIX makes higher low → Potential upside reversal Bearish Divergence: Price makes higher high, TRIX makes lower high → Potential downside reversal Divergences are most significant when occurring at extreme levels 🔹 Momentum Confirmation The slope and magnitude of TRIX confirm momentum: Steeply rising TRIX → Strong bullish momentum Steeply falling TRIX → Strong bearish momentum Flattening TRIX → Momentum slowing, potential trend change 🔹 Cycle Identification The triple smoothing process removes short-term cycles, helping identify medium to longer-term cycles and trends: Default length 18 is suitable for identifying intermediate-term cycles Shorter lengths for shorter-term cycles Longer lengths for major trend identification 🔹 Multiple Timeframe Analysis Compare TRIX readings across different timeframes: Higher timeframe TRIX confirms primary trend direction Lower timeframe TRIX identifies entry timing and short-term momentum 🎯 Ideal For ✅ Trend Traders seeking to identify and follow established trends with reduced noise ✅ Momentum Traders wanting to measure the acceleration of price movements ✅ Divergence Traders looking for early reversal signals ✅ Swing Traders capturing medium-term momentum shifts ✅ Cycle Analysts identifying underlying price cycles ✅ System Developers needing reliable, smoothed momentum signals 📌 Key Takeaways Triple Smoothing: The three-stage smoothing process eliminates insignificant price movements, revealing the underlying trend Logarithmic Processing: Using log prices makes TRIX responsive to percentage changes, providing consistency across different price levels Dual-Mode Flexibility: Choose between classic zero-line crossovers for traditional signals or MA-smoothed signals for filtered entries Comprehensive Visualization: Color themes, gradient fills for extreme zones, candles, and labels provide immediate market awareness Divergence Capability: Excellent for spotting both regular and hidden divergences that signal trend reversals or continuations Alert-Ready: Built-in alerts for both LONG and SHORT signals across both operating modes ⚠️ Important Notes TRIX is a smoothed indicator, meaning it will be slower to react than single-smoothed oscillators. This makes it better suited for identifying intermediate to longer-term trends rather than short-term entries. The default length of 18 provides a balance between responsiveness and smoothness. The multiplication by 10000 scales the values for better visibility but does not change the signal logic. The 365-day MA default in TRIX MA mode is designed for longer-term trend context on daily charts. Divergences are most reliable when they occur after extended trends. Always combine with proper risk management and additional confirmation for best results. Disclaimer: This indicator is provided for educational and informational purposes only. Past performance is not indicative of future results. Always conduct thorough testing and align with your risk management strategy before live deployment.
Pine Script®指標
由Tiagorocha1989提供
Rate of Change - ROC | TR🎯 Overview Rate of Change - ROC | TR is a classic momentum oscillator that measures the percentage change in price over a specified period. Developed by Tiagorocha1989, this enhanced version of the traditional Rate of Change indicator offers dual-mode operation with moving average customization and comprehensive visual features, helping traders identify the speed of price movements, momentum shifts, and potential reversal points with clarity and precision. 🔧 How It Works The Rate of Change indicator calculates the percentage difference between the current price and the price from a specified number of periods ago. This measurement reveals whether price is accelerating (increasing ROC) or decelerating (decreasing ROC). Core Calculation Logic: The indicator calculates ROC using the standard formula: ROC = × 100 Where n is the user-defined Length ROC The resulting oscillator fluctuates around zero, with: Positive ROC values indicating that prices are higher than they were n-periods ago (upward momentum) Negative ROC values indicating that prices are lower than they were n-periods ago (downward momentum) Zero line representing no net change over the period The magnitude of the value indicates momentum strength: Large positive values → Strong upward momentum Large negative values → Strong downward momentum Values approaching zero → Weakening momentum or consolidation The indicator compares ROC to a reference line that can be either: The traditional zero level A user-defined moving average of ROC itself (ROC MA mode) ✨ Key Features 🔹 Dual Operating Modes Zero Line Mode: Classic ROC implementation where signals occur when ROC crosses above or below the zero line ROC MA Mode: Enhanced version where signals occur when ROC crosses its own moving average, providing smoother, filtered entries 🔹 Flexible Moving Average Selection Choose from six MA types for the ROC MA mode: EMA (Exponential Moving Average) for responsive signals SMA (Simple Moving Average) for smoother readings RMA (Rolling Moving Average) for weighted recent data WMA (Weighted Moving Average) for customizable weighting VWMA (Volume-Weighted Moving Average) incorporating volume HMA (Hull Moving Average) for reduced lag 🔹 Customizable ROC Parameters Length ROC: Lookback period for ROC calculation (default 35) Source ROC: Price source for calculations (default Close) 🔹 Extended Range Visualization The indicator includes gradient fills at +/-40, providing reference points for extreme momentum readings, though actual overbought/oversold levels vary by instrument. 🔹 Customizable Color Themes Eight distinct color schemes to match your charting preferences: Classic – Green for bullish, Red for bearish Modern – White for bullish, Purple for bearish Robust – Amber for bullish, Maroon for bearish Accented – Violet for bullish, Pink for bearish Monochrome – Light gray for bullish, Dark gray for bearish Moderate – Green for bullish, Red for bearish Aqua – Blue for bullish, Orange for bearish Cosmic – Pink for bullish, Purple for bearish 🔹 Comprehensive Visual Feedback Colored ROC Line: Changes color based on position relative to the reference line Signal Line: Yellow line showing zero or MA reference Gradient Fill Zones: Clear visualization of extreme momentum readings Dynamic Zone Fills: Semi-transparent fills showing when ROC is above or below the reference line Color-Coded Candles: Bars reflect current ROC bias (above or below reference) Signal Markers: Triangle up/down symbols at crossover points Live Value Display: Current ROC value shown in a floating label Trend Table: Bullish/Bearish status displayed on the chart 🔹 Ready-to-Use Alerts Built-in alert conditions trigger LONG signals on bullish crossovers and SHORT signals on bearish crossunders across both operating modes. ⚙️ Settings Summary Color Choice: Select from eight visual themes (Default: Classic) Length ROC: Lookback period for ROC calculation (Default: 35) Source ROC: Price source for calculations (Default: Close) Entry/Exit Signal: Choose between zero line or ROC MA mode (Default: Zero Line) Length MA: Moving average period for ROC MA mode (Default: 365) ROC MA Type: Moving average method for signal line (Default: EMA) 📈 Practical Applications 🔹 Trend Direction Identification The ROC line's position relative to zero indicates trend direction: ROC above zero → Bullish trend ROC below zero → Bearish trend The steepness of the slope indicates momentum strength 🔹 Zero Line Crossovers In Zero Line mode, crossovers provide momentum signals: Crossover above zero → Bullish momentum strengthening, potential trend reversal up Crossunder below zero → Bearish momentum strengthening, potential trend reversal down These are among the simplest and most intuitive trading signals 🔹 Signal Line Crossovers In ROC MA mode, crossovers between ROC and its moving average provide filtered signals: ROC crosses above its MA → Bullish signal ROC crosses below its MA → Bearish signal These signals reduce whipsaws in choppy markets 🔹 Divergence Trading ROC is excellent for spotting divergences: Bullish Divergence: Price makes lower low, ROC makes higher low → Potential upside reversal Bearish Divergence: Price makes higher high, ROC makes lower high → Potential downside reversal Divergences are most significant when occurring at extreme levels 🔹 Momentum Confirmation The slope and magnitude of ROC confirm trend strength: Rising ROC values → Strengthening bullish momentum Falling ROC values → Strengthening bearish momentum Flattening ROC → Momentum slowing, potential trend change 🔹 Centerline Rejections When ROC approaches zero but reverses before crossing, it can signal trend continuation: ROC pulls back toward zero but reverses up → Bullish continuation ROC rallies toward zero but reverses down → Bearish continuation 🔹 Multiple Timeframe Analysis Compare ROC readings across different timeframes: Higher timeframe ROC confirms primary trend direction Lower timeframe ROC identifies entry timing and short-term momentum shifts 🎯 Ideal For ✅ Trend Traders seeking to confirm trend direction and strength ✅ Momentum Traders wanting to measure the rate of price change ✅ Divergence Traders looking for early reversal signals ✅ Swing Traders capturing medium-term momentum shifts ✅ System Developers needing simple, reliable crossover logic ✅ Beginner Traders starting with one of the most intuitive indicators 📌 Key Takeaways Percentage-Based Measurement: ROC expresses momentum as a percentage, making it comparable across different price levels and instruments Dual-Mode Flexibility: Choose between classic zero-line crossovers for simplicity or MA-smoothed signals for filtered entries Unbounded Nature: Unlike RSI or Stochastic, ROC has no upper or lower limits, making it suitable for strongly trending markets Comprehensive Visualization: Color themes, gradient fills for extreme readings, candles, and labels provide immediate market awareness Divergence Capability: Excellent for spotting both regular and hidden divergences Alert-Ready: Built-in alerts for both LONG and SHORT signals across both operating modes ⚠️ Important Notes Because ROC is unbounded, the scale will vary significantly between different instruments and timeframes. The gradient fills at +/-40 are arbitrary reference points and may not represent actual overbought/oversold conditions for all instruments. The default length of 35 provides a medium-term perspective; shorter lengths (9-14) provide more responsive signals, while longer lengths identify longer-term trends. The 365-day MA default in ROC MA mode is designed for longer-term trend context on daily charts. Divergences are most reliable when they occur after extended trends. Always combine with proper risk management and additional confirmation for best results. Disclaimer: This indicator is provided for educational and informational purposes only. Past performance is not indicative of future results. Always conduct thorough testing and align with your risk management strategy before live deployment.
Pine Script®指標
由Tiagorocha1989提供
powered rsi oscillatorPowered RSI Oscillator is a volume-weighted RSI oscillator designed to highlight momentum strength and potential trend reversals. The indicator enhances traditional RSI behavior by incorporating volume into price changes and automatically detects: Regular Bullish & Bearish Divergences Hidden Bullish & Bearish Divergences Overbought / Oversold conditions Momentum shifts around the 50 midline This tool is best used as a confirmation indicator alongside price action, structure, and trend analysis.
Pine Script®指標
由ASSAF-ALGOS提供
3Commas DCA Strategy Backtesting [The Quant Science]This strategy is an advanced Dollar Cost Averaging (DCA) simulator designed to replicate the logic of 3Commas algorithmic trading bots directly within TradingView. This streamlined version showcases the power of Pine Script in developing high-efficiency backtests. By deep-diving into the data before going live, users can stress-test their setups and avoid costly mistakes. The following 3Commas configuration is assumed for this template: Direction: Long | Order Type: Limit | Exchange: Binance (BTC/USDT Initial Order Size: Set to 1000 USDT. Entry Logic: Our custom TradingView signal triggers on an RSI bearish cross of the 35 level, initiating a Long DCA sequence on oversold conditions. The Averaging orders logic for this template is configured as follows: Deviation to open first averaging order: 1% Averaging order size: 100 USDT Deviation step multiplier: 1.5 Order size multiplier: 1.5 Averaging orders per trade: 11 Limit averaging orders placed on exchange: 11 Critical Note: Max amount for bot usage & Backtesting Accuracy When configuring 3Commas, always prioritize the Max amount for bot usage parameter. This is essential to ensure your backtesting data remains realistic and avoids "illusory" results. As shown in this setup, the Max amount for bot usage is approximately 8,500 USDT. This represents the maximum amount of funds the bot can trade. To maintain high-fidelity backtesting on TradingView, we have set the Initial Capital to 10,000 USDT. By utilizing ~85% of the available equity (8,500 out of 10,000 USDT), the simulation closely mirrors real-world trading conditions. If your Max amount for bot usage exceeds your account balance, you must adjust your configuration. Always align your bot settings with your specific trading goals and financial capacity to avoid liquidation or failed order execution. 🧠 Workflow Description This strategy automates 3Commas-style Dollar Cost Averaging (DCA), operating exclusively on the Long side. The first order is triggered when the 7-period RSI crosses down the oversold threshold (default: 35), signaling a potential local bottom. Upon entry, the system simultaneously calculates and places 10 averaging orders via limit orders at progressively lower price levels to manage the position. The spacing between these orders is dynamic; it increases exponentially through a deviation multiplier, allowing the strategy to cover deep drawdowns effectively. Simultaneously, the volume of each subsequent purchase grows according to an amount multiplier, aggressively pulling the average entry price downward. The trade is closed either at a take profit target triggered once the total position equity reaches the set value or via a stop loss calculated from the initial entry price. Backtesting Considerations & Performance Analysis Despite the positive net profit shown in the strategy report, this specific configuration underperforms when compared to a simple Buy & Hold approach. In this scenario, a Buy & Hold investor who simply hold 10,000 USDT worth of the asset would have achieved a significantly higher return than the trader executing this DCA strategy. This indicates that while the bot is "profitable" in absolute terms, it is not capital-efficient under these specific market conditions. ❌ To keep this simulator streamlined and focused on core DCA logic, the current version does not include the following features: Base Template Only: This is a foundational framework designed for educational and initial testing purposes. No Leverage Backtesting: All calculations assume a 1x spot-trading margin (no liquidation or margin cost simulation). No Short Selling: This version is strictly long-only. Simplified DCA Settings: Advanced 3Commas parameters (such as Minimum Deviation Step or Non-linear Volume Scaling) are not included. Fixed Order Count: The strategy is hardcoded to 11 total orders (1 Base Order + 10 Averaging Orders). Standard Profit Logic: Take Profit % is calculated based on the Average Price, while Stop Loss % is anchored to the Initial Base Order price. No Reinvestment (Compounding): The strategy uses a fixed position size and does not automatically reinvest profits into subsequent deals. Feel free to swap the trigger logic or optimize the averaging settings to discover a configuration that outperforms a simple Buy & Hold strategy.
Pine Script®策略
由thequantscience提供
Modular Trend Pullback StrategyThis strategy focuses on trading pullbacks within established trends. Instead of entering immediately when a trend forms, it waits for a temporary retracement and then looks for confirmation before placing a trade. The goal is to improve entry timing while keeping risk controlled. Core Idea Markets often move in waves. During a strong trend, price tends to retrace toward a short-term average before continuing in the dominant direction. This script attempts to participate in those continuation moves. How It Works 1. Trend Identification Two exponential moving averages (EMAs) define direction. Fast EMA above Slow EMA → bullish environment Fast EMA below Slow EMA → bearish environment 2. Pullback Condition In an uptrend, price must retrace below the fast EMA. In a downtrend, price must retrace above the fast EMA. This avoids chasing extended moves. 3. Break Confirmation After a pullback, the strategy waits for price to break the previous candle’s high (for longs) or low (for shorts). This acts as confirmation that momentum is returning in the direction of the trend. 4. Risk Management Stop-loss and take-profit levels are based on ATR (Average True Range), allowing exits to adapt to current volatility. A configurable risk-reward ratio defines profit targets. Key Features Non-repainting logic Entries only when flat (no stacking positions) ATR-based dynamic stop and target levels Commission and slippage included for more realistic backtests Structured, modular logic for easier testing and adjustment Suitable Market Conditions This type of approach generally performs best in: Trending environments Instruments with sustained directional movement Timeframes where pullbacks are clearly visible It may underperform in sideways or low-volatility markets. Notes This script is intended for research and testing purposes. Results will vary depending on symbol, timeframe, and market regime. Always evaluate performance across multiple market conditions before considering live execution.
Pine Script®策略
由AIScripts提供
Legendary Linda Bradford Raschke ORB Turtle Soup Hybrid Linda Bradford Raschke ORB and Turtle Soup Hybrid Framework: ✔ Opening Range Breakout (ORB) ✔ Turtle Soup (false breakout reversal) ✔ 3/10 Oscillator momentum module ✔ Short-term swing structure inspired by LBR 30 ✔ Dynamic exits (no fixed R targets) Strategy Architecture Overview: 1️⃣ Opening Range Module (ORB) ✔ Define opening range using first N bars of session ✔ Break above/below range ✔ Confirm with momentum (3/10 oscillator) ✔ Trend bias filter 2️⃣ Turtle Soup Module Classic Raschke concept: ✔ Break prior swing high/low ✔ Immediate failure back inside range ✔ Enter reversal in direction of failure ✔ Momentum confirmation required 3️⃣ 3/10 Oscillator Module - Classic Raschke momentum tool: ✔ 3 EMA minus 10 EMA ✔ Smoothed with 16-period SMA ✔ Used for: * Momentum confirmation * Exit on momentum loss 4️⃣ LBR 30-Inspired Swing Filter ✔ Inspired by her LBR 30 concept: * 30-period EMA defines bias * Pullbacks to 30 EMA trigger continuation * Structure-based trailing exit Recommended Instrument & Timeframe: ✔ Primary Test: * Volatility 75 Index (or any high-beta instrument) * 5 Minute timeframe ✔ Secondary: * 15 Minute for swing stability This is more consistent with Raschke’s short-term swing style than 1-minute scalping.
Pine Script®策略
由uzair2join提供