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Stochastic Momentum IndexThis is an implementation of the Stochastic Momentum Index from William Blau's his article in Stocks & Commodities . This also allows the use of various different kinds of moving averages for the signal line. Options for this argument are: sma (simple moving average) ema (exponential moving average) wma (weighted moving average) trima (triangular moving average) zlema (zero-lag exponential moving average) dema (double exponential moving average) tema (triple exponential moving average) hma (hull moving average)
Pine Script®指标
由JacobAmos提供
6
Awesome Oscillator - AO | TR🎯 Overview Awesome Oscillator - AO | TR is a sophisticated momentum indicator that measures market momentum by calculating the difference between two moving averages of different lengths. Developed by Tiagorocha1989, this enhanced version of Bill Williams' classic Awesome Oscillator offers dual-mode operation, extensive moving average customization, and comprehensive visual features to help traders identify momentum shifts, divergences, and potential trend reversals with greater precision. 🔧 How It Works The Awesome Oscillator measures market momentum by comparing short-term and long-term price action, creating a histogram that oscillates above and below a zero line. When the short-term moving average is above the long-term moving average, the oscillator is positive (bullish), and when it's below, the oscillator is negative (bearish). Core Calculation Logic: The indicator calculates the difference between two moving averages applied to the same price source. The first moving average uses a shorter period (default 22) to capture recent price action, while the second uses a longer period (default 49) to establish the broader trend context. The resulting value creates a histogram where: Positive values (above zero or the signal line) indicate bullish momentum Negative values (below zero or the signal line) indicate bearish momentum The slope and direction of the oscillator reveal momentum acceleration or deceleration In standard mode, signals are generated based on crossovers of the zero line. In AO MA mode, signals are based on crossovers between the oscillator and a smoothed moving average line, providing filtered entries. ✨ Key Features 🔹 Dual Operating Modes Zero Line Mode: Classic Awesome Oscillator implementation where signals occur when the oscillator crosses above or below the zero line AO MA Mode: Enhanced version where signals occur when the oscillator crosses a user-defined moving average, providing smoother, more filtered signals 🔹 Flexible Moving Average Selection Choose from six MA types for both the oscillator calculation 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 🔹 Dual Period Settings First AO Length: Shorter period for the fast moving average (default 22) Second AO Length: Longer period for the slow moving average (default 49) 🔹 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 Dual Visualization Modes: Line style or column histogram based on user preference Gradient Fill Zones: Clear visualization of overbought and oversold conditions Color-Coded Candles: Bars reflect current momentum direction Signal Markers: Triangle up/down symbols at crossover points Live Value Display: Current AO 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) AO Display: Toggle between line style or column histogram (Default: Line) First AO Length: Short-term moving average period (Default: 22) Second AO Length: Long-term moving average period (Default: 49) AO Source: Price source for calculations (Default: Close) AO Moving Average Type: MA method for oscillator calculation (Default: EMA) Entry/Exit Signal: Choose between zero line or AO MA mode (Default: AO MA) Length AO MA: Signal line moving average period (Default: 730) AO MA Type: Moving average method for signal line (Default: EMA) 📈 Practical Applications 🔹 Momentum Shift Detection The primary use of the Awesome Oscillator is identifying when momentum is changing. When the histogram crosses from negative to positive, it suggests bullish momentum is building. Crosses from positive to negative indicate bearish momentum is emerging. 🔹 Divergence Trading One of the most powerful applications is spotting divergences between price and the oscillator: Bullish Divergence: Price makes a lower low while AO makes a higher low, suggesting upcoming upside reversal Bearish Divergence: Price makes a higher high while AO makes a lower high, warning of potential downside reversal 🔹 Zero Line Crossovers In Zero Line mode, crossovers provide clear entry signals: Crossover above zero → LONG signal Crossunder below zero → SHORT signal 🔹 Signal Line Crossovers In AO MA mode, crossovers between the oscillator and its moving average provide filtered signals that reduce whipsaws in choppy markets. 🔹 Twin Peaks Strategy Look for two consecutive peaks in the same direction: Bullish Twin Peaks: Two lows below zero, with the second low higher than the first, followed by a crossover above the signal line Bearish Twin Peaks: Two highs above zero, with the second high lower than the first, followed by a crossunder below the signal line 🔹 Saucer Pattern When the histogram changes from red to green (or vice versa) with a smooth, rounded shape, it suggests a gradual momentum shift that often leads to sustainable moves. 🎯 Ideal For ✅ Momentum Traders seeking to identify when momentum is accelerating or decelerating ✅ Divergence Traders looking for hidden reversal signals before they appear on price ✅ Swing Traders wanting to capture medium-term momentum shifts ✅ System Developers needing reliable crossover logic for automated strategies ✅ Multi-Timeframe Analysts comparing momentum across different periods 📌 Key Takeaways Dual-Mode Flexibility: Choose between classic zero-line crossovers for maximum sensitivity or MA-smoothed signals for cleaner entries Customizable Calculation: Six MA types for both oscillator and signal line allow fine-tuning for any market condition Comprehensive Visualization: Color themes, gradient fills, candles, and labels provide immediate momentum 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 Awesome Oscillator works best in trending markets and can produce false signals in ranging conditions. Consider combining with trend filters or using the AO MA mode for smoother signals in choppy markets. The 730-day MA default in AO MA mode is designed for longer-term trend context on daily charts. 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®指标
由Tiagorocha1989提供
stelaraX - EnvelopestelaraX – Envelope stelaraX – Envelope is a price channel indicator based on a moving average with fixed percentage bands above and below the average. It is designed to visualize dynamic support and resistance zones and highlight potential overextended market conditions. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The indicator calculates a central moving average using either: * exponential moving average (EMA) * simple moving average (SMA) Upper and lower envelope bands are then derived by applying a fixed percentage offset to the moving average. The distance between price and the envelope bands reflects relative market extension. Price near or beyond the outer bands may indicate overbought or oversold conditions depending on context and trend direction. Visualization The script plots: * the central moving average * an upper envelope band * a lower envelope band The area between the upper and lower bands is softly filled to improve visual clarity and make price deviations easy to identify at a glance. Use case This indicator is intended for: * identifying dynamic support and resistance zones * detecting overextended price conditions * mean reversion and pullback analysis * trend-following confirmation when combined with other indicators * channel-based trade planning For traders who want to combine classical price channels with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Pine Script®指标
由stelaraX_official提供
EMAs Bullish/Bearish Confluence [Trend Bias]EMA Confluence Zones This indicator is designed to simplify trend identification by visually highlighting "Confluence Zones" —areas where short-term, medium-term, and long-term momentum are fully aligned. While traders can manually add three Moving Averages to a chart, identifying the exact moment all three align (the "Perfect Stack") can be visually difficult during live trading. This script automates that process, converting complex line crosses into simple background color zones and providing actionable alerts for the exact moment a trend alignment begins. 🛠 How It Works The script utilizes three customizable Exponential Moving Averages (EMAs) to detect the market bias: Short EMA: Represents immediate price action/momentum. Medium EMA: Represents the intermediate trend. Long EMA: Represents the major trend baseline. Calculations & Logic The indicator checks for a specific hierarchical alignment (Stacking) of these averages: 1. 🟢 Bullish Confluence (Buy Zone):** Returns true when `Short > Medium` AND `Medium >Long`. This confirms that momentum is rising across all three monitored timeframes. 2. 🔴 Bearish Confluence (Sell Zone):** Returns true when `Short < Medium` AND `Medium < Long`. This confirms that momentum is falling across all three monitored timeframes. 3. ⚪ Neutral (No Color): Any other state indicates a choppy or consolidating market where the EMAs are intertwined. --- 🚀 Key Features *Visual Bias Confirmation: The background highlights Green (Bullish) or Red (Bearish) only when the "Perfect Stack" conditions are met. Trend Start Alerts: Unlike standard EMA cross alerts, this script includes custom alert conditions that trigger only on the first bar where the confluence becomes valid. This prevents spam alerts during a prolonged trend. Full Customization: Users can adjust the lengths of all three EMAs to fit specific strategies (e.g., Scalping vs. Swing Trading). Clean Chart Mode: Includes options to hide the EMA lines entirely and rely solely on the background color for a minimalist "Naked Trading" setup. 🎯 How to Use 1. Trend Filter: Use the background color to determine your directional bias. If the background is Green, look only for Long setups on lower timeframes. If Red, look only for Short setups. 2. Breakout Confirmation: If price breaks a key level, wait for the background color to flip. This confirms that the Moving Averages have caught up to the move, validating the breakout strength. 3. Exit Signal: If you are in a trend trade and the background color disappears (turns transparent), it indicates the trend momentum is fading and the EMAs are beginning to cross/compress. ⚙️ Settings EMA Lengths: Default is 20, 50, 100. These can be changed to common combinations like (9, 21, 55) or (50, 100, 200). Visuals: Toggle lines or background colors on/off and adjust transparency to keep your chart readable. --- Disclaimer: This script is for informational purposes only. Past performance of a trend following method does not guarantee future results. Always use proper risk management.
Pine Script®指标
由Kodologic提供
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes. This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements. THEORETICAL FOUNDATION The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not. The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics): Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance. Price Change as Velocity: The rate of price movement through price space represents momentum and directional force. Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics. This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way. MATHEMATICAL FRAMEWORK The indicator calculates a composite singularity value through four distinct steps: Step 1: Raw Singularity Calculation S_raw = (ΔP × V) × γ² Where: ΔP = Price Velocity = close - close V = Volume Mass = log(volume + 1) γ² = Time Dilation Factor = (ATR_local / ATR_global)² Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis. Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware. Step 2: Normalization The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation: S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100 Where S_min and S_max are the lowest and highest raw singularity values over the lookback period. Step 3: Epsilon Compression S_compressed = 50 + ((S_normalized - 50) / ε) This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output: ε < 1.0: Expands range (more signals) ε = 1.0: No change (default) ε > 1.0: Compresses toward 50 (fewer, higher-quality signals) For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant. Step 4: Smoothing S_final = EMA(S_compressed, smoothing_period) An exponential moving average removes high-frequency noise while preserving trend. SIGNAL GENERATION LOGIC When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system: Scoring Components: Price Structure (+1 point): Current bar bullish/bearish Momentum (+1 point): Price higher/lower than N bars ago Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier) Acceleration (+1 point): Rate of change increasing/decreasing Volume Multiplier (×1.5): If volume > average, multiply score The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation. Signal Conditions: A BUY signal requires: Extreme event detection (tensor crosses threshold) Bullish score > Bearish score Price confirmation: Bullish candle (optional, user-controlled) Volume confirmation: Volume > average (optional, user-controlled) Momentum confirmation: Positive momentum (optional, user-controlled) A SELL signal requires the inverse conditions. INPUTS EXPLAINED - Core Parameters: Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise. Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20. Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals. Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0. Signal Interpreter Toggles: Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry. Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data). Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals. Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias. Visual Controls: Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon. Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls. Visibility Toggles: Individual on/off switches for: Gravitational field lines (trend EMAs) Field reversals (trend crossovers) Accretion disk (background gradient) Singularity diamonds (neutral extreme events) Energy particles (volume bursts) Event horizon flash (extreme event background) Signal background flash Signal Size: Tiny/Small/Normal triangle size Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price) Dashboard Settings: Show Dashboard: Toggle on/off Position: 9 placement options (all corners, centers, middles) Text Size: Tiny/Small/Normal/Large Background Transparency: 0-50, separate from visual transparency VISUAL ELEMENTS EXPLAINED 1. Accretion Disk (Background Gradient): A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity. 2. Gravitational Field Lines (EMAs): Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals. 3. Field Reversals (Circles): Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts. 4. Singularity Diamonds: Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking. 5. Energy Particles (Dots): Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts. 6. Event Horizon Flash: A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention. 7. Signal Background Flash: When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met. 8. Signal Triangles: The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators. DASHBOARD METRICS EXPLAINED The dashboard displays real-time calculated values: Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral). Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal). Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg). Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value. Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates. Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction. Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔ State: Current market condition: 🚀 EJECTION: Buy signal active 💥 COLLAPSE: Sell signal active ⚠ CRITICAL: Extreme event, no directional confirmation ● STABLE: Normal market conditions HOW TO USE THE INDICATOR 1. Wait for Extreme Events: The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal. 2. Check Context Scores: Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade. 3. Confirm with Signals: Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met. 4. Use with Price Structure: Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere. 5. Respect the Dashboard State: When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution. 6. Volume Matters: Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability. MARKET AND TIMEFRAME RECOMMENDATIONS Scalping (1m-5m): Lookback: 10-14 Smoothing: 5-7 Threshold: 85 Epsilon: 0.5-0.7 Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments. Intraday (15m-1h): Lookback: 20-30 (default settings work well) Smoothing: 3-5 Threshold: 90 Epsilon: 1.0 Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto. Swing Trading (4h-1D): Lookback: 30-50 Smoothing: 3 Threshold: 90-95 Epsilon: 1.5-2.0 Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis. Position Trading (1D-1W): Lookback: 50-100 Smoothing: 5-7 Threshold: 95 Epsilon: 2.0-3.0 Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves. Market-Specific Settings: Forex (EUR/USD, GBP/USD, etc.): Volume data is unreliable (spot forex has no centralized volume) Disable "Require Volume Confirmation" Focus on momentum and trend filters News events create extreme singularities Best on 15m-1h timeframes Stocks (High-Volume Equities): Volume confirmation is CRITICAL - keep it ON Works excellently on AAPL, TSLA, SPY, etc. Morning session (9:30-11:00 ET) shows highest event density Earnings announcements create guaranteed extreme events Best on 5m-1h for day trading, 1D for swing trading Crypto (BTC, ETH, major alts): Reduce threshold to 85 (crypto has constant high volatility) Volume spikes are THE primary signal - keep volume confirmation ON Works exceptionally well due to 24/7 trading and high volatility Epsilon can be reduced to 0.7-0.8 for more signals Best on 15m-4h timeframes Commodities (Gold, Oil, etc.): Gold responds to macro events (Fed announcements, geopolitical events) Oil responds to supply shocks Use daily timeframe minimum Increase lookback to 50+ These are slow-moving markets - be patient Indices (SPX, NDX, etc.): Institutional volume matters - keep volume confirmation ON Opening hour (9:30-10:30 ET) = highest singularity probability Strong correlation with VIX - high VIX = more extreme events Best on 15m-1h for day trading WHAT MAKES THIS INDICATOR UNIQUE 1. Post-Normalization Sensitivity Control: Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators. 2. Multi-Factor Confluence Requirement: The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence. 3. Volatility-Weighted Normalization: By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context. 4. Volume Integration at the Core: Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume. 5. Adaptive Scoring System: Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends." 6. Comprehensive Visual Feedback: The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit. 7. Separate Extreme Detection and Signal Generation: "Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable. COMPARISON TO EXISTING INDICATORS vs. RSI/Stochastic: These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position. vs. Chaikin Money Flow: CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression. vs. Bollinger Bands + Volume: Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized. vs. MACD: MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale. The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator. LIMITATIONS AND PROPER DISCLOSURE Not a Holy Grail: No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management. Requires Confirmation: Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly. Volume Data Dependency: On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases. Lagging Components: The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust. Extreme Event Rarity: With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7. Not Financial Advice: This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results. BEST PRACTICES Don't trade every singularity - wait for context confirmation Higher timeframes = higher reliability Combine with support/resistance for entry refinement Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex) During major news events, singularities are inevitable but direction may be uncertain - use wider stops When bullish and bearish flux scores are close, skip the trade Test settings on your specific instrument/timeframe before live trading Use the dashboard actively - it contains critical diagnostic information Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script®指标
由DskyzInvestments提供
DEMA Flow [Alpha Extract]A sophisticated trend identification system that combines Double Exponential Moving Average methodology with advanced HL median filtering and ATR-based band detection for precise trend confirmation. Utilizing dual-layer smoothing architecture and volatility-adjusted breakout zones, this indicator delivers institutional-grade flow analysis with minimal lag while maintaining exceptional noise reduction. The system's intelligent band structure with asymmetric ATR multipliers provides clear trend state classification through price position analysis relative to dynamic threshold levels. 🔶 Advanced DEMA Calculation Engine Implements double exponential moving average methodology using cascaded EMA calculations to significantly reduce lag compared to traditional moving averages. The system applies dual smoothing through sequential EMA processing, creating a responsive yet stable trend baseline that maintains sensitivity to genuine market structure changes while filtering short-term noise. // Core DEMA Framework dema(src, length) => EMA1 = ta.ema(src, length) EMA2 = ta.ema(EMA1, length) DEMA_Value = 2 * EMA1 - EMA2 DEMA_Value // Primary Calculation DEMA = dema(close, DEMA_Length) 2H 🔶 HL Median Filter Smoothing Architecture Features sophisticated high-low median filtering using rolling window analysis to create ultra-smooth trend baselines with outlier resistance. The system constructs dynamic arrays of recent DEMA values, sorts them for median extraction, and handles both odd and even window lengths for optimal smoothing consistency across all market conditions. // HL Median Filter Logic hlMedian(src, length) => window = array.new_float() for i = 0 to length - 1 array.push(window, src) array.sort(window) // Median Extraction lenW = array.size(window) median = lenW % 2 == 1 ? array.get(window, lenW / 2) : (array.get(window, lenW/2 - 1) + array.get(window, lenW/2)) / 2 // Smooth DEMA Calculation Smooth_DEMA = hlMedian(DEMA_Value, HL_Filter_Length) 🔶 ATR Band Construction Framework Implements volatility-adaptive band structure using Average True Range calculations with asymmetric multiplier configuration for optimal trend identification. The system creates upper and lower threshold bands around the smoothed DEMA baseline with configurable ATR multipliers, enabling precise trend state determination through price breakout analysis. // ATR Band Calculation atrBands(src, atr_length, upper_mult, lower_mult) => ATR = ta.atr(atr_length) Upper_Band = src + upper_mult * ATR Lower_Band = src - lower_mult * ATR // Band Generation = atrBands(Smooth_DEMA, ATR_Length, Upper_ATR_Mult, Lower_ATR_Mult) 15min 🔶 Intelligent Flow Signal Engine Generates binary trend states through band breakout detection, transitioning to bullish flow when price exceeds upper band and bearish flow when price breaches lower band. The system maintains flow state persistence until opposing band breakout occurs, providing clear trend classification without whipsaw signals during normal volatility fluctuations. 🔶 Comprehensive Visual Architecture Provides multi-dimensional flow visualization through color-coded DEMA line, trend-synchronized candle coloring, and bar color overlay for complete chart integration. The system uses institutional color scheme with neon green for bullish flow, neon red for bearish flow, and neutral gray for undefined states with configurable band visibility. 🔶 Asymmetric Band Configuration Features intelligent asymmetric ATR multiplier system with default upper multiplier of 2.1 and lower multiplier of 1.5, optimizing for market dynamics where upside breakouts often require stronger momentum confirmation than downside breaks. This configuration reduces false signals while maintaining sensitivity to genuine flow changes. 🔶 Dual-Layer Smoothing Methodology Combines DEMA's inherent lag reduction with HL median filtering to create exceptional smoothing without sacrificing responsiveness. The system first applies double exponential smoothing for initial noise reduction, then applies median filtering to eliminate outliers and create ultra-clean flow baseline suitable for high-frequency and institutional trading applications. 🔶 Alert Integration System Features comprehensive alert framework for flow state transitions with customizable notifications for bullish and bearish flow confirmations. The system provides real-time alerts on crossover events with clear directional indicators and exchange/ticker integration for multi-symbol monitoring capabilities. 🔶 Performance Optimization Framework Utilizes efficient array management with optimized median calculation algorithms and minimal variable overhead for smooth operation across all timeframes. The system includes intelligent bar indexing for median filter initialization and streamlined flow state tracking for consistent performance during extended analysis periods. 🔶 Why Choose DEMA Flow ? This indicator delivers sophisticated flow identification through dual-layer smoothing architecture and volatility-adaptive band methodology. By combining DEMA's reduced-lag characteristics with HL median filtering and ATR-based breakout zones, it provides institutional-grade flow analysis with exceptional noise reduction and minimal false signals. The system's asymmetric band structure and comprehensive visual integration make it essential for traders seeking systematic trend-following approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities for automated trading strategies.
Pine Script®指标
由AlphaExtract提供
1
X21The X21 Dynamic Trend Indicator is an adaptive moving average system that combines SMA, EMA, and TEMA to provide real-time trend identification with dynamic color coding. This indicator automatically adjusts its visual presentation based on market conditions, making trend recognition intuitive and immediate. Key Components 1. TEMA21 (Triple Exponential Moving Average) Yellow Line - The most responsive trend indicator in the system Significantly reduces lag compared to traditional moving averages Formula: TEMA = 3×EMA1 - 3×EMA2 + EMA3 Provides early signals for potential trend changes Ideal for timing entries and exits with minimal delay 2. SMA21 (Simple Moving Average) Green Line - Always displayed in green regardless of trend direction 21-period simple moving average of closing prices Represents the baseline trend reference Acts as the primary support/resistance level in the system 3. EMA21 (Exponential Moving Average) Dynamic Color Line - Changes color based on trend strength Dark Green (#159015): Confirmed uptrend (bullish conditions) Red (#f50000): Downtrend or weak trend (bearish/neutral conditions) More responsive than SMA21 due to exponential weighting Provides faster reaction to recent price movements 4. Dynamic Fill Band (SMA21/EMA21 Envelope) Color-Coded Zone between SMA21 and EMA21 Light Green (#15e915, 19% transparency): Uptrend zone Light Red (#f50000, 19% transparency): Downtrend zone Visualizes the strength and volatility of the current trend Width of the band indicates trend momentum and volatility Trend Detection LogicThe indicator uses a dual-confirmation system for trend identification: Price Position: Close must be above SMA21 Trend Slope: SMA21 must be rising (SMA21 > SMA21 ) Both conditions must be met simultaneously for an uptrend confirmation.This conservative approach reduces false signals and ensures only h
Pine Script®指标
由xaubtcdxy提供
Configurable 3MA with Crossover CloudThis script is a versatile and powerful enhancement of the classic triple moving average setup, designed to provide clear, at-a-glance insights into market trends and momentum shifts. It plots three moving averages on your chart and colors the area between the two shorter-term MAs, creating a visual "cloud" that instantly signals bullish or bearish sentiment. The core of this indicator is its complete customizability, allowing you to tailor it precisely to your trading strategy and the asset you are analyzing. Key Features: Dynamic Crossover Cloud: The space between the first two moving averages is colored to represent momentum: Green Cloud: Indicates a bullish crossover, where the shorter-term MA is above the medium-term MA. Red Cloud: Indicates a bearish crossover, where the shorter-term MA is below the medium-term MA. Complete Customization: Unlike standard MA indicators, every aspect of the three moving averages can be configured independently: Length: Set the period for each MA. Type: Choose between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for each line. Source: Base the calculation on any price source (close, open, high, low, hl2, etc.). Individual Visibility Toggles: Clean up your chart by hiding any of the three moving averages directly from the settings panel. How to Use: This indicator is ideal for trend-following and crossover strategies. Identify Momentum: Use the color of the cloud to quickly gauge short-term momentum. A green cloud suggests bullish strength, while a red cloud suggests bearish pressure. Confirm the Trend: Use the third, long-term moving average (e.g., a 200-period MA) as a macro trend filter. For a higher probability trade, only consider long positions when the price is above the long-term MA and the cloud is green. Conversely, only consider short positions when the price is below the long-term MA and the cloud is red. Customize for Your Style: Adjust the default settings (13 EMA, 50 SMA, 200 EMA) to fit your preferred timeframes and trading style, whether you're a scalper, day trader, or swing trader.
Pine Script®指标
由harryhii提供
4
On-Balance Volume with Multiple MA TypesOn-Balance Volume with Multiple MA Types English Description Overview This is the first version of the "On-Balance Volume with Multiple MA Types" indicator designed to overlay directly on the price chart, a significant evolution from its previous iterations, which functioned solely as an oscillator in a separate window. The indicator calculates On-Balance Volume (OBV) and applies various smoothing methods to provide a clear view of volume dynamics in relation to price movements. It is pinned to the price scale for seamless integration with the chart. Interpretation Recommendations Price Pushing the OBV Line from Below: When the price chart pushes the OBV line upward and remains below it, this indicates rising volume, suggesting strong buying pressure. Price Above the OBV Line: When the price chart is above the OBV line, it signals falling volume, indicating weakening momentum or selling pressure. OBV Line Crossings: When the price crosses the OBV line, it represents a balance point in volume dynamics. The price level at the current crossing can be compared to the previous crossing to assess changes in market sentiment or momentum. Moving Average Types The indicator offers eight smoothing options for the OBV line, each with unique characteristics: EMA (Exponential Moving Average): A weighted average that prioritizes recent data, providing a smooth yet responsive line. DEMA (Double Exponential Moving Average): Uses two EMAs to reduce lag, offering faster response to volume changes. HMA (Hull Moving Average): Combines weighted moving averages to minimize lag while maintaining smoothness. WMA (Weighted Moving Average): Assigns more weight to recent data, balancing responsiveness and noise reduction. TMA (Triangular Moving Average): A double-smoothed simple moving average, emphasizing central data points for smoother output. VIDYA (Variable Index Dynamic Average): Adapts smoothing based on market volatility, using a CMO (Chande Momentum Oscillator) for dynamic weighting. Controlled by the VIDYA Alpha parameter (default: 0.2, range: 0–1), which adjusts sensitivity to volatility. FRAMA (Fractal Adaptive Moving Average): Adjusts smoothing based on fractal dimensions of the OBV data, adapting to market conditions. JMA (Jurik Moving Average): A proprietary adaptive average designed for minimal lag and high smoothness. Controlled by two parameters: JMA Phase (default: 50, range: -100 to 100): Adjusts the balance between responsiveness and smoothness. JMA Power (default: 1, range: 0.1+): Controls the strength of smoothing. Input Parameters OBV MA Length (default: 10): The lookback period for smoothing the OBV. Higher values produce smoother results but increase lag. OBV MA Type (default: JMA): Selects the moving average type from the eight options listed above. Line Width (default: 2): Thickness of the OBV line on the chart. Bullish Color (default: Blue): Color of the OBV line when rising (indicating increasing volume). Bearish Color (default: Red): Color of the OBV line when falling (indicating decreasing volume). JMA Phase (default: 50): Adjusts the JMA’s responsiveness (used only when JMA is selected). JMA Power (default: 1): Adjusts the JMA’s smoothing strength (used only when JMA is selected). VIDYA Alpha (default: 0.2): Controls the sensitivity of VIDYA to market volatility (used only when VIDYA is selected). How to Use Add the indicator to your TradingView chart. It will overlay directly on the price chart, aligned with the price scale. Adjust the OBV MA Type to select your preferred smoothing method based on your trading style (e.g., JMA for low lag, TMA for smoothness). Modify the OBV MA Length to balance responsiveness and noise reduction. Shorter periods (e.g., 5–10) are better for short-term trading, while longer periods (e.g., 20–50) suit longer-term analysis. Use the Bullish Color and Bearish Color to visually distinguish rising and falling volume trends. For JMA or VIDYA, fine-tune the JMA Phase, JMA Power, or VIDYA Alpha to optimize the indicator for specific market conditions. Interpret the OBV line in relation to price: Watch for price pushing the OBV line upward (rising volume) or moving above it (falling volume). Note crossings of the OBV line to identify balance points and compare with prior crossings to gauge momentum shifts. Combine with other technical tools (e.g., support/resistance levels, trendlines) for a comprehensive trading strategy. Notes This indicator is designed to work on any timeframe and market, but its effectiveness depends on the chosen moving average type and parameters. Experiment with different MA types and lengths to find the best fit for your trading approach. The indicator is licensed under the Mozilla Public License 2.0 and copyrighted by TradingStrategyCourses © 2025.
Pine Script®指标
由SYNC-AND-TRADE提供
Options Strategy V2.0📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System Overview: This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters. ⚙️ Core Concept The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity. To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently. 📌 Key Features ✅ Trend-Following Logic Long entries are only allowed when EMA(short) > EMA(long) Short entries are only allowed when EMA(short) < EMA(long) ✅ RSI Confirmation Long: Requires RSI crossover above a configurable threshold Short: Requires RSI crossunder below a configurable threshold Optional rejection filters: Entry blocked above/below specific RSI extremes ✅ Volume Spike Filter Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor. ✅ ATR-Based Risk Management Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier. TP/SL ratio is fully configurable. ✅ Cooldown Control After every trade, the system waits for a set number of bars before allowing new entries. This prevents overtrading and increases signal quality. Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change. ✅ Candle Body Filter (Noise Control) Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles). ✅ VWAP Confirmation (Optional) Ensures price is trading above VWAP for long entries, or below for short entries. ✅ Time & Session Filters Trades only during regular market hours (09:30–16:00 EST). No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws. ✅ End-of-Day Auto Close All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options). 📊 Visual Aids EMA plots show trend direction VWAP line provides real-time mean-reversion context Stop Loss and Take Profit lines appear dynamically with each trade Alerts notify of entry signals and exit triggers 🔧 Customization Panel Nearly every element of the strategy can be tailored: EMA lengths (short and long, for both sides) RSI thresholds and length ATR length, SL multiplier, and TP/SL ratio Volume spike sensitivity Minimum EMA distance filter Candle body ratio filter Session restrictions Cooldown logic (duration + reversal exception) This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context. 📌 Example Use Case: SPY Options (0DTE or 1DTE) This system was designed and tested specifically for SPY and other intraday options trading, where: Delta is around 0.50 or higher Trades are short-lived (often 1–5 candles) You aim to trade 1–3 signals per day, filtering out weak entries 🚫 Important Notes It is not a scalping strategy; it relies on confirmed breakouts with trend support No pyramiding or re-entries without cooldown to preserve risk integrity Should be used with real-time alerts and manual broker execution 📈 Alerts Included 📈 Long Entry Signal 📉 Short Entry Signal ⚠️ Auto-closed all positions at 15:55 EST ✅ Proven Settings – Real Trades + Backtest Results The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control. 🧠 Final Thoughts Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing. Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.
Pine Script®策略
由olaszvandor提供
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions. The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability. The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period. The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation 2. Momentum Confirmation and Visual Analysis Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions 3. Examples: Preconfigured Settings Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes. Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts. Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts. Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes. Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Pine Script®指标
由QuantAlgo提供
16
BTC Transaction Indicator Name: "Bitcoin On-Chain Volume & Dynamic Parabolic Curve Signals" Purpose: This indicator is designed for Bitcoin traders and long-term holders. It combines the analysis of Bitcoin's on-chain transaction volume with price action to generate "Whale" and "Bear" signals. Additionally, it features a unique dynamic parabolic curve that acts as a visual support line, adapting its visibility based on price interaction with a key Exponential Moving Average (EMA). Key Components: On-Chain Volume Analysis: Utilizes Estimated Transaction Volume (ETRAV) data from the Bitcoin blockchain. Calculates fast and slow Simple Moving Averages (SMAs) of this volume. Identifies volume trends (up/down) and significant volume increases/decreases. Employs fixed thresholds (2,500,000 for low volume and 25,000,000 for high volume) to define key activity levels, similar to how historical on-chain analysis defined accumulation and distribution zones. Price Action Analysis: Calculates fast and slow SMAs of the price. Detects price trends (up/down), recoveries, and declines based on these price SMAs. "Whale" and "Bear" Signals: Whale Signals (Buy-side): Generated when there's an upward volume trend, significant volume increase, and a downward price trend followed by price recovery. These indicate potential accumulation phases. Bear Signals (Sell-side): Generated when there's a downward volume trend, significant volume decrease, and an upward price trend followed by price decline. These indicate potential distribution phases. Visuals: Both types of signals are plotted as small, colored circles directly on the price chart, with corresponding text labels ("Whale," "Buy," "Bear," "Sell," "Price Recovering," "Price Declining"). Dynamic Parabolic Curve: Concept: A green parabolic (exponential) curve that serves as a dynamic visual support line. Activation: The curve starts drawing automatically only when the price crosses over the EMA 500 (Exponential Moving Average of 500 periods). The curve's starting point is set at a user-defined percentage below the EMA 500 value at that exact crossover point. Visibility: The curve remains visible and continues its trajectory only as long as the price stays above the EMA 500. Deactivation: The curve disappears instantly if the price falls below or equals the EMA 500. It will only reappear if the price crosses above the EMA 500 again. Customization: The curve's steepness (Tasa Crecimiento Curva) and its initial distance from the EMA 500 (Inicio Curva % por debajo de EMA500) are adjustable. Dynamic Label: A "Parabólico" text label is plotted near the center of the active curve segment, with an adjustable vertical offset to ensure it stays visually appealing below the curve. What is PLOTTED on the chart: The small, colored circle signals for Whale/Buy and Bear/Sell activity. The green dynamic parabolic curve. What is NOT PLOTTED: EMA 200, EMA 500 lines (though they are calculated internally for logic). Raw volume data or volume Moving Averages (these are only used for signal calculation, not plotted). Ideal for: Bitcoin traders and investors focused on long-term trends and cycle analysis, who want visual cues for accumulation/distribution phases based on on-chain activity, complemented by a unique, dynamically appearing parabolic support curve. Important Notes: Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView. Functions best on a daily timeframe for optimal on-chain data relevance.
Pine Script®指标
由DavidGLZCrypto提供
Multi-Indicator Trend-Following Strategy v6Multi-Indicator Trend-Following Strategy v6 This strategy uses a combination of technical indicators to identify potential trend-following trade entries and exits. It is intended for educational and research purposes. How it works: Moving Averages (EMA): Entry signals are generated on crossovers between a fast and slow exponential moving average. RSI Filter: Confirms momentum with a threshold above/below 50 for long/short entries. Volume Confirmation: Requires volume to exceed a moving average multiplied by a user-defined factor. ATR-Based Risk Management: Stop loss and take profit levels are calculated using the Average True Range (ATR), allowing for dynamic risk control based on market volatility. Customizable Inputs: Fast/Slow MA lengths RSI length and levels MACD settings (used in calculation, not directly in signal) Volume MA and multiplier ATR period and multipliers for stop loss and take profit Notes: This strategy does not guarantee future results. It is provided for analysis and backtesting only. Alerts are available for buy/sell conditions. Feel free to adjust parameters to explore different market conditions and asset classes.
Pine Script®策略
由rockingtoor提供
EMA Pullback Speed Strategy　📌 **Overview** The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**. It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends. The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries. One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue. ⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits. 🧭 **Purpose** This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."** By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries. 🎯 **Strategy Objectives** * Enter in the direction of the prevailing trend to increase win rate * Filter out false signals using pullback depth, speed, and candlestick confirmations * Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading ✨ **Key Features** * **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum * **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening * **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks) 📊 **Trading Rules** **■ Long Entry Conditions:** * Current price is above the dynamic EMA (indicating uptrend) * Price has pulled back toward the EMA (a "buy the dip" situation) * Pullback depth is within the threshold (not excessive) * Candlesticks show consecutive bullish closes and break the previous high * Price speed is strong (positive movement with momentum) **■ Short Entry Conditions:** * Current price is below the dynamic EMA (indicating downtrend) * Price has pulled back up toward the EMA (a "sell the rally" setup) * Pullback is within range (not too deep) * Candlesticks show consecutive bearish closes and break the previous low * Price speed is negative (downward momentum confirmed) **■ Exit Conditions (TP/SL):** * **Take-Profit (TP):** Fixed 1.5% target above/below entry price * **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4 💰 **Risk Management Parameters** * Symbol & Timeframe: BTCUSD on 1-hour chart (H1) * Test Capital: \$3000 (simulated account) * Commission: 0.02% * Slippage: 2 ticks (minimal execution lag) * Max risk per trade: 5% of account balance * Backtest Period: Aug 30, 2023 – May 9, 2025 * Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees) ⚙️ **Trading Parameters & Indicator Settings** * Maximum EMA Length: 50 * Accelerator Multiplier: 3.0 * Pullback Threshold: 5.0% * ATR Period: 14 * ATR Multiplier (SL distance): 4.0 * Fixed TP: 1.5% * Short-term EMA: 21 * Long-term EMA: 50 * Long Speed Threshold: ≥ 1000.0 (ticks) * Short Speed Threshold: ≤ -1000.0 (ticks) ⚠️Adjustments are based on BTCUSD. ⚠️Forex and other currency pairs require separate adjustments. 🔧 **Strategy Improvements & Uniqueness** Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**. By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.** Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems. ✅ **Summary** The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders. Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions. ⚠️ Past performance is not a guarantee of future results. Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
Pine Script®策略
由PakunFX提供
1
C&B Auto MK5C&B Auto MK5.2ema BullBear Overview The C&B Auto MK5.2ema BullBear is a versatile Pine Script indicator designed to help traders identify bullish and bearish market conditions across various timeframes. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, bull/bear signals, and market condition labels, making it suitable for swing trading, day trading, or scalping in trending or volatile markets. What It Does This indicator generates bull and bear signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, a 50/200 EMA trend filter, and user-defined time windows. It adapts to market volatility by adjusting EMA lengths and RSI thresholds. A dynamic cloud highlights trend direction or neutral zones, with candlestick coloring in neutral conditions. Market condition labels (current and historical) provide real-time trend and volatility context, displayed above the chart. How It Works The indicator uses the following components: EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder triggers potential bull/bear signals. EMA lengths adjust based on volatility (e.g., 10/20 for volatile markets, 5/10 for non-volatile). Dynamic Cloud: The area between the EMAs forms a cloud, colored green for bullish trends, red for bearish trends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility. RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within volatility-adjusted bull/bear thresholds and not in overbought/oversold zones. ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)). 50/200 EMA Trend Filter: An optional filter restricts bull signals to bullish trends (50 EMA > 200 EMA) and bear signals to bearish trends (50 EMA < 200 EMA). Time Filter: Signals are restricted to a user-defined UTC time window (default 9:00–15:00), aligning with active trading sessions. Market Condition Labels: Labels above the chart display the current trend (Bullish, Bearish, Neutral) and optionally volatility (e.g., “Bullish Volatile”). Up to two historical labels persist for a user-defined number of bars (default 5) to show recent trend changes. Visual Aids: Bull signals appear as green triangles/labels below the bar, bear signals as red triangles/labels above. Candlesticks in neutral zones are colored (default yellow). The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko. How to Use It Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView. Configure Settings: Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to match your trading style. Filters: Enable/disable the ATR volatility filter to focus on high-volatility periods. Enable/disable the 50/200 EMA trend filter to align signals with the broader trend. Enable the time filter and set custom UTC hours/minutes (default 9:00–15:00). Cloud Settings: Adjust the cloud width, neutral zone threshold, color, and transparency. EMA Colors: Use default trend-based colors or set custom colors for short/long EMAs. RSI Display: Toggle the scaled RSI and its thresholds, with customizable colors. Signal Settings: Toggle bull/bear labels and set signal colors. Market Condition Labels: Toggle current/historical labels, include/exclude volatility, and adjust decay period. Interpret Signals: Bull Signal: A green triangle or “Bull” label below the bar indicates potential bullish momentum (EMA crossover, RSI above bull threshold, within time window, passing filters). Bear Signal: A red triangle or “Bear” label above the bar indicates potential bearish momentum (EMA crossunder, RSI below bear threshold, within time window, passing filters). Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; consider range-bound strategies or avoid trading. Market Condition Labels: Check labels above the chart for real-time trend (Bullish, Bearish, Neutral) and volatility status to confirm market context. Monitor Context: Use the cloud, RSI, and labels to assess trend strength and volatility before acting on signals. Unique Features Volatility-Adaptive EMAs: Automatically adjusts EMA lengths based on ATR to suit volatile or non-volatile markets, reducing manual configuration. Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets. Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, simplifying momentum analysis relative to price. Flexible Time Filtering: Supports precise UTC-based trading windows, ideal for day traders targeting specific sessions. Historical Market Labels: Displays recent trend changes (up to two) with a decay period, providing context for market shifts. 50/200 EMA Trend Filter: Aligns signals with the broader market trend, enhancing signal reliability. Notes Use on standard candlestick or bar charts to ensure accurate signals. Test the indicator on a demo account to optimize settings for your market and timeframe. Combine with other analysis (e.g., support/resistance, volume) for better decision-making. The indicator is not a standalone system; use it as part of a broader trading strategy. Limitations Signals may lag in fast-moving markets due to EMA-based calculations. Neutral zone detection may vary in extremely volatile or illiquid markets. Time filters are UTC-based; ensure your platform’s timezone settings align. This indicator is designed for traders seeking a customizable, trend-following tool that adapts to volatility and provides clear visual cues with robust filtering for bullish and bearish market conditions.
Pine Script®指标
由charleyRT提供
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy? The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength. Who is it for? This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter. When is it used? - **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold. - **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional. - **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA. Where is it applied? This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions. Why is it useful? This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets. How does it work? - **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA. - **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade. - **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA. - **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold. This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
Pine Script®策略
由sebamarghella提供
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants My original indicator/Strategy: Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence. MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise. MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives. Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci). // Fibonacci-based factors for multiple Supertrend calculations factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend") factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend") factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend") This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA). // Calculate average of the three supertends and a smoothed version superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend") average_trend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_trend = ta.ema(average_trend, superlength) The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets. Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront. 1. Granular Lower Timeframe RSI Momentum Filter The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe. // --- Lower Timeframe RSI Filter --- ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter") ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation") ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation") ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals") 2. Convergent Lower Timeframe MACD Trend-Momentum Filter The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe. // --- Lower Timeframe MACD Filter --- ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter") ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation") ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD") ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD") ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD") 3. Definitive Volume Confirmation Filter The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals. // --- Volume Filter --- volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter") volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)") These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability. Intuitive Visual Architecture & Actionable Intelligence MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots: Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias. Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend. Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum. Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective. Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action. MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions. Strategic Applications for Institutional Mandates MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include: High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation. Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns. Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment. Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates. Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols. Granular Customization and Parameterized Control MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include: Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes. ATR Length: Control volatility responsiveness in Supertrend calculations. Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction. MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering. Disclaimer MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
Pine Script®指标
由FibonacciFlux提供
4
Aggressive Strategy for High IV Market### Strategic background In a volatile high IV market, prices are volatile and market expectations of future uncertainty are high. This environment provides opportunities for aggressive trading strategies, but also comes with a high level of risk. In pursuit of a high Sharpe ratio (i.e., risk-adjusted return), we need to design a strategy that captures the benefits of market volatility while effectively controlling risk. Based on daily line cycles, I choose a combination of trend tracking and volatility filtering for highly volatile assets such as stocks, futures or cryptocurrencies. --- ### Strategy framework #### Data - Use daily data, including opening, closing, high and low prices. - Suitable for highly volatile markets such as technology stocks, cryptocurrencies or volatile index futures. #### Core indicators 1. ** Trend Indicators ** : Fast Exponential Moving Average (EMA_fast) : 10-day EMA, used to capture short-term trends. - Slow Exponential Moving Average (EMA_slow) : 30-day EMA, used to determine the long-term trend. 2. ** Volatility Indicators ** : Average true Volatility (ATR) : 14-day ATR, used to measure market volatility. - ATR mean (ATR_mean) : A simple moving average of the 20-day ATR that serves as a volatility benchmark. - ATR standard deviation (ATR_std) : The standard deviation of the 20-day ATR, which is used to judge extreme changes in volatility. #### Trading logic The strategy is based on a trend following approach of double moving averages and filters volatility through ATR indicators, ensuring that trading only in a high-volatility environment is in line with aggressive and high sharpe ratio goals. --- ### Entry and exit conditions #### Admission conditions - ** Multiple entry ** : - EMA_fast Crosses EMA_slow (gold cross), indicating that the short-term trend is turning upward. -ATR > ATR_mean + 1 * ATR_std indicates that the current volatility is above average and the market is in a state of high volatility. - ** Short Entry ** : - EMA_fast Crosses EMA_slow (dead cross) downward, indicating that the short-term trend turns downward. -ATR > ATR_mean + 1 * ATR_std, confirming high volatility. #### Appearance conditions - ** Long show ** : - EMA_fast Enters the EMA_slow (dead cross) downward, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, volatility decreases significantly and the market calms down. - ** Bear out ** : - EMA_fast Crosses the EMA_slow (gold cross) on the top, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, the volatility is reduced. --- ### Risk management To control the high risk associated with aggressive strategies, set up the following mechanisms: 1. ** Stop loss ** : - Long: Entry price - 2 * ATR. - Short: Entry price + 2 * ATR. - Dynamic stop loss based on ATR can adapt to market volatility changes. 2. ** Stop profit ** : - Fixed profit target can be selected (e.g. entry price ± 4 * ATR). - Or use trailing stop losses to lock in profits following price movements. 3. ** Location Management ** : - Reduce positions appropriately in times of high volatility, such as dynamically adjusting position size according to ATR, ensuring that the risk of a single trade does not exceed 1%-2% of the account capital. --- ### Strategy features - ** Aggressiveness ** : By trading only in a high ATR environment, the strategy takes full advantage of market volatility and pursues greater returns. - ** High Sharpe ratio potential ** : Trend tracking combined with volatility filtering to avoid ineffective trades during periods of low volatility and improve the ratio of return to risk. - ** Daily line Cycle ** : Based on daily line data, suitable for traders who operate frequently but are not too complex. --- ### Implementation steps 1. ** Data Preparation ** : - Get the daily data of the target asset. - Calculate EMA_fast (10 days), EMA_slow (30 days), ATR (14 days), ATR_mean (20 days), and ATR_std (20 days). 2. ** Signal generation ** : - Check EMA cross signals and ATR conditions daily to generate long/short signals. 3. ** Execute trades ** : - Enter according to the signal, set stop loss and profit. - Monitor exit conditions and close positions in time. 4. ** Backtest and Optimization ** : - Use historical data to backtest strategies to evaluate Sharpe ratios, maximum retracements, and win rates. - Optimize parameters such as EMA period and ATR threshold to improve policy performance. --- ### Precautions - ** Trading costs ** : Highly volatile markets may result in frequent trading, and the impact of fees and slippage on earnings needs to be considered. - ** Risk Control ** : Aggressive strategies may face large retracements and need to strictly implement stop losses. - ** Scalability ** : Additional metrics (such as volume or VIX) can be added to enhance strategy robustness, or combined with machine learning to predict trends and volatility. --- ### Summary This is a trend following strategy based on dual moving averages and ATR, designed for volatile high IV markets. By entering into high volatility and exiting into low volatility, the strategy combines aggressive and risk-adjusted returns for traders seeking a high sharpe ratio. It is recommended to fully backtest before implementation and adjust the parameters according to the specific market.
Pine Script®策略
由tirascobol提供
Jumbalika BandsThis indicator is designed using several common technical analysis tools: Bollinger Bands, Exponential Moving Averages (EMAs), and the Parabolic SAR. I'll walk you through each section to explain how it works and how you can use it: 1. Bollinger Bands Bollinger Bands are used to measure volatility and overbought/oversold conditions. It consists of three lines: Basis (Middle Line): A simple moving average (SMA) of the price over a defined period (in this case, 20 periods). Upper Band: The basis plus a certain number of standard deviations. It represents the upper boundary of expected price movement. Lower Band: The basis minus the same number of standard deviations. It represents the lower boundary of expected price movement. Interpretation: Overbought: If the price moves above the upper band, it could signal that the asset is overbought. Oversold: If the price moves below the lower band, it could signal that the asset is oversold. Volatility: A wider band indicates higher volatility, and a narrower band indicates lower volatility. 2. Exponential Moving Averages (EMAs) The indicator plots four different EMAs: 9-period EMA: This is a short-term trend indicator. 20-period EMA on Close: This is another medium-term trend indicator, based on the close price. 20-period EMA on High: A variation of the 20-period EMA, but based on the high prices. 20-period EMA on Low: A variation of the 20-period EMA, but based on the low prices. Interpretation: 9 EMA: A faster-moving average that responds quicker to price changes. It can be used to identify short-term trends. 20 EMA: A slower-moving average that reacts more gradually to price changes. It helps identify the broader trend. High/Low EMAs: These give additional insights into the extremes of price action, which can help identify possible support or resistance levels. Trading signals (common usage): Crossover: When a shorter EMA (like the 9 EMA) crosses above a longer EMA (like the 20 EMA), it could be a bullish signal. When it crosses below, it could be a bearish signal. 3. Parabolic SAR The Parabolic SAR is a trend-following indicator that is used to identify potential price reversals. The Parabolic SAR is plotted as a series of dots either above or below the price, depending on the trend: Below the price: The trend is up (bullish). Above the price: The trend is down (bearish) 4. Background Coloring (Optional) The background will change color when the price crosses the Bollinger Bands: Green background when the price is above the upper Bollinger Band. Red background when the price is below the lower Bollinger Band. Adjust the values for Bollinger Bands, EMAs, and Parabolic SAR directly in the indicator settings to suit your trading preferences. Bollinger Bands: If the price is above the upper band, it might indicate an overbought condition, while if it's below the lower band, it might indicate an oversold condition. EMAs: The 9 EMA is often used to track short-term trends, while the 20-period EMAs (on the close, high, and low) help analyze the broader market trend. Parabolic SAR: The Parabolic SAR is often used to identify trend reversals. If the SAR is below the price, the trend is up, and if it's above the price, the trend is down. Background Color: The background coloring helps visually highlight potential market conditions when the price breaks out of the Bollinger Bands. Example Use Case: Decide the trend based on the parabolic SAR, when the bar touches the upper or lower Bollinger take a short or long position based on the price action using EMAs.
Pine Script®指标
由jiya14提供
EMA Crossover with RSI and DistanceEMA Crossover with RSI and Distance Strategy This strategy combines Exponential Moving Averages (EMA) with Relative Strength Index (RSI) and distance-based conditions to generate buy, sell, and neutral signals. It is designed to help traders identify entry and exit points based on multiple technical indicators. Key Components: Exponential Moving Averages (EMA): The strategy uses four EMAs: EMA 5, EMA 13, EMA 40, and EMA 55. A buy signal (long) is triggered when EMA 5 crosses above EMA 13 and EMA 40 crosses above EMA 55. A sell signal (short) is generated when EMA 55 crosses above EMA 40. The distance between EMAs (5 and 13) is also important. If the current distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, a neutral condition is triggered, preventing a signal even if all other conditions are met. Relative Strength Index (RSI): The 14-period RSI is used to determine market strength and direction. The strategy requires RSI to be above 50 and greater than the average RSI (over the past 14 periods) for a buy signal. If the RSI is above 60, a green signal is given, indicating a strong bullish condition, even if the EMA conditions are not fully met. If the RSI is below 40, a red signal is given, indicating a strong bearish condition, regardless of the EMA crossover. Distance Conditions: The strategy calculates the distance between EMA 5 and EMA 13 on each candle and compares it to the average distance of the last 5 candles. If the current distance between EMA 5 and EMA 13 is lower than the average of the last 5 candles, a neutral signal is triggered. This helps avoid entering a trade when the market is losing momentum. Additionally, if the distance between EMA 40 and EMA 13 is greater than the previous distance, the previous signal is kept intact, ensuring that the trend is still strong enough for the signal to remain valid. Signal Persistence: Once a buy (green) or sell (red) signal is triggered, it remains intact as long as the price is closing above EMA 5 for long trades or below EMA 55 for short trades. If the price moves below EMA 5 for long trades or above EMA 55 for short trades, the signal is recalculated based on the most recent conditions. Signal Display: Green Signals: Represent a strong buy signal and are shown below the candle when the RSI is above 60. Red Signals: Represent a strong sell signal and are shown above the candle when the RSI is below 40. Neutral Signals: Displayed when the conditions for entry are not met, specifically when the EMA distance condition is violated. Long and Short Signals: Additional signals are shown based on the EMA crossovers and RSI conditions. These signals are plotted below the candle for long positions and above the candle for short positions. Trade Logic: Long Entry: Enter a long trade when EMA 5 crosses above EMA 13, EMA 40 crosses above EMA 55, and the RSI is above 50 and greater than the average RSI. Additionally, the current distance between EMA 5 and EMA 13 should be larger than the average distance of the last 5 candles. Short Entry: Enter a short trade when EMA 55 crosses above EMA 40 and the RSI is below 40. Neutral Condition: If the distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, the strategy will not trigger a signal, even if other conditions are met.
Pine Script®策略
由mishaqman提供
Refined SMA/EMA Crossover with Ichimoku and 200 SMA FilterYour **Refined SMA/EMA Crossover with Ichimoku and 200 SMA Filter** strategy is a multi-faceted technical trading strategy that combines several key technical indicators to refine entry and exit points for trades. Here's a breakdown of the components and how they work together: ### 1. **SMA/EMA Crossover** - **Simple Moving Average (SMA) & Exponential Moving Average (EMA) Crossover**: - The core idea behind the crossover strategy is to use the relationship between two moving averages to generate buy or sell signals. - **SMA** (Simple Moving Average) gives an average of past prices over a set period. - **EMA** (Exponential Moving Average) places more weight on recent prices, making it more responsive to price movements. - A **bullish crossover** occurs when a shorter period moving average (such as a 50-period EMA) crosses above a longer period moving average (such as a 200-period SMA), signaling a potential buy. - A **bearish crossover** occurs when a shorter period moving average crosses below the longer period moving average, signaling a potential sell. ### 2. **Ichimoku Cloud** - The **Ichimoku Cloud** is a versatile indicator that provides insight into trend direction, support and resistance levels, and momentum. - **Cloud (Kumo)**: The space between the Senkou Span A and Senkou Span B lines. It helps identify whether the market is in an uptrend, downtrend, or consolidation. - **Tenkan-sen** (Conversion Line) and **Kijun-sen** (Base Line): These lines are used for additional confirmation of trend direction. - **Chikou Span**: A lagging line that is used to confirm the trend. - The general trading rules based on the Ichimoku Cloud are: - **Bullish Signal**: When the price is above the cloud and the Tenkan-sen crosses above the Kijun-sen. - **Bearish Signal**: When the price is below the cloud and the Tenkan-sen crosses below the Kijun-sen. ### 3. **200 SMA Filter** - The **200 SMA Filter** serves as a long-term trend filter. - When the price is **above the 200 SMA**, it signals a long-term bullish trend, and you only look for buying opportunities. - When the price is **below the 200 SMA**, it signals a long-term bearish trend, and you only look for selling opportunities. - This filter helps to avoid counter-trend trades, aligning your positions with the broader market trend. ### **How the Strategy Works Together** - **Trade Setup (Long Position)** 1. The **200 SMA Filter** must confirm an **uptrend** by ensuring that the price is above the 200 SMA. 2. A **bullish crossover** (e.g., the 50 EMA crossing above the 200 SMA) occurs. 3. **Ichimoku Cloud** confirms a bullish trend, with the price above the cloud and the Tenkan-sen crossing above the Kijun-sen. 4. You enter a **long trade** with this confluence of signals. - **Trade Setup (Short Position)** 1. The **200 SMA Filter** must confirm a **downtrend** by ensuring the price is below the 200 SMA. 2. A **bearish crossover** (e.g., the 50 EMA crossing below the 200 SMA) occurs. 3. **Ichimoku Cloud** confirms a bearish trend, with the price below the cloud and the Tenkan-sen crossing below the Kijun-sen. 4. You enter a **short trade** with this confluence of signals. ### **Exit Strategy** - Exits can be determined based on any of the following: - **SMA/EMA crossover reversal**: Exit when the shorter-term moving average crosses back below the longer-term moving average for a long position or crosses above for a short position. - **Ichimoku Cloud reversal**: If the price breaks through the cloud or the Tenkan-sen and Kijun-sen lines cross in the opposite direction. - **Profit target or stop loss**: Setting predefined profit targets or using a trailing stop to lock in profits as the trade moves in your favor. Summary of the Strategy This strategy is designed to identify strong trends and avoid false signals by combining: SMA/EMA crossovers for immediate market direction signals. Ichimoku Cloud for confirming the strength and trend direction. A 200 SMA filter to ensure trades align with the long-term trend. By using these multiple indicators together, the strategy aims to refine entry and exit points, minimize risk, and increase the likelihood of successful trades.
Pine Script®策略
由Its_Syd提供
MultiLayer Awesome Oscillator Saucer Strategy [Skyrexio]Overview MultiLayer Awesome Oscillator Saucer Strategy leverages the combination of Awesome Oscillator (AO), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Awesome Oscillator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs) Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one. Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one. Methodology The strategy opens long trade when the following price met the conditions: 1. Price closed above EMA (by default, period = 100). Crossover is not obligatory. 2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph) 3. Awesome Oscillator shall create the "Saucer" long signal (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created "Saucer signal". 4. If price reaches the order price, long position is opened with 10% of capital. 5. If currently we have opened position and price creates and hit the order price of another one "Saucer" signal another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously. 6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened. Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent. Strategy settings In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Let's go through all concepts used in this strategy to understand how they works together. Let's start from the easies one, the EMA. Let's briefly explain what is EMA. The Exponential Moving Average (EMA) is a type of moving average that gives more weight to recent prices, making it more responsive to current price changes compared to the Simple Moving Average (SMA). It is commonly used in technical analysis to identify trends and generate buy or sell signals. It can be calculated with the following steps: 1.Calculate the Smoothing Multiplier: Multiplier = 2 / (n + 1), Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) In this strategy uses EMA an initial long term trend filter. It allows to open long trades only if price close above EMA (by default 50 period). It increases the probability of taking long trades only in the direction of the trend. Let's go to the next, short-term trend filter which consists of Alligator and Fractals. Let's briefly explain what do these indicators means. The Williams Alligator, developed by Bill Williams, is a technical indicator designed to spot trends and potential market reversals. It uses three smoothed moving averages, referred to as the jaw, teeth, and lips: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When these lines diverge and are properly aligned, the "alligator" is considered "awake," signaling a strong trend. Conversely, when the lines overlap or intertwine, the "alligator" is "asleep," indicating a range-bound or sideways market. This indicator assists traders in identifying when to act on or avoid trades. The Williams Fractals, another tool introduced by Bill Williams, are used to pinpoint potential reversal points on a price chart. A fractal forms when there are at least five consecutive bars, with the middle bar displaying the highest high (for an up fractal) or the lowest low (for a down fractal), relative to the two bars on either side. Key Points: Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal. Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal. Traders often combine fractals with other indicators to confirm trends or reversals, improving the accuracy of trading decisions. How we use their combination in this strategy? Let’s consider an uptrend example. A breakout above an up fractal can be interpreted as a bullish signal, indicating a high likelihood that an uptrend is beginning. Here's the reasoning: an up fractal represents a potential shift in market behavior. When the fractal forms, it reflects a pullback caused by traders selling, creating a temporary high. However, if the price manages to return to that fractal’s high and break through it, it suggests the market has "changed its mind" and a bullish trend is likely emerging. The moment of the breakout marks the potential transition to an uptrend. It’s crucial to note that this breakout must occur above the Alligator's teeth line. If it happens below, the breakout isn’t valid, and the downtrend may still persist. The same logic applies inversely for down fractals in a downtrend scenario. So, if last up fractal breakout was higher, than Alligator's teeth and it happened after last down fractal breakdown below teeth, algorithm considered current trend as an uptrend. During this uptrend long trades can be opened if signal was flashed. If during the uptrend price breaks down the down fractal below teeth line, strategy considered that uptrend is finished with the high probability and strategy closes all current long trades. This combination is used as a short term trend filter increasing the probability of opening profitable long trades in addition to EMA filter, described above. Now let's talk about Awesome Oscillator's "Sauser" signals. Briefly explain what is the Awesome Oscillator. The Awesome Oscillator (AO), created by Bill Williams, is a momentum-based indicator that evaluates market momentum by comparing recent price activity to a broader historical context. It assists traders in identifying potential trend reversals and gauging trend strength. AO = SMA5(Median Price) − SMA34(Median Price) where: Median Price = (High + Low) / 2 SMA5 = 5-period Simple Moving Average of the Median Price SMA 34 = 34-period Simple Moving Average of the Median Price Now we know what is AO, but what is the "Saucer" signal? This concept was introduced by Bill Williams, let's briefly explain it and how it's used by this strategy. Initially, this type of signal is a combination of the following AO bars: we need 3 bars in a row, the first one shall be higher than the second, the third bar also shall be higher, than second. All three bars shall be above the zero line of AO. The price bar, which corresponds to third "saucer's" bar is our signal bar. Strategy places buy stop order one tick above the price bar which corresponds to signal bar. After that we can have the following scenarios. Price hit the order on the next candle in this case strategy opened long with this price. Price doesn't hit the order price, the next candle set lower low. If current AO bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AO bar become decreasing. In the second case buy order cancelled and strategy wait for the next "Saucer" signal. If long trades has been opened strategy use all the next signals until number of trades doesn't exceed 5. All trades are closed when the trend changes to downtrend according to combination of Alligator and Fractals described above. Why we use "Saucer" signals? If AO above the zero line there is a high probability that price now is in uptrend if we take into account our two trend filters. When we see the decreasing bars on AO and it's above zero it's likely can be considered as a pullback on the uptrend. When we see the stop of AO decreasing and the first increasing bar has been printed there is a high probability that this local pull back is finished and strategy open long trade in the likely direction of a main trend. Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next saucer signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.11.25. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 10% Maximum Single Position Loss: -5.10% Maximum Single Profit: +22.80% Net Profit: +2838.58 USDT (+28.39%) Total Trades: 107 (42.99% win rate) Profit Factor: 3.364 Maximum Accumulated Loss: 373.43 USDT (-2.98%) Average Profit per Trade: 26.53 USDT (+2.40%) Average Trade Duration: 78 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Pine Script®策略
由Skyrexio提供
1
Multi-Timeframe MACD, Signal & Histogram TableThis Pine Script is designed for the TradingView platform to create a multi-timeframe MACD (Moving Average Convergence Divergence), Signal, and Histogram table that displays values for different timeframes. The script uses the MACD indicator to assess market trends across various timeframes and display the results in a table format on the chart. Here's a breakdown of its components and functionality: 1. User Inputs for Timeframes: The script allows the user to input five different timeframes for the analysis. These are configured using input.string, which enables the user to select from a list of timeframes (from seconds to months). tf1 to tf5 represent the different timeframes (for example, 5 minutes, 15 minutes, 60 minutes, 240 minutes, and daily). 2. MACD Settings: The script provides adjustable settings for the MACD calculation: macdShortLength (default 12): The length of the short-term moving average for the MACD. macdLongLength (default 26): The length of the long-term moving average for the MACD. macdSignalLength (default 9): The length of the signal line, which is an EMA (Exponential Moving Average) of the MACD line. 3. MACD Calculation Function (calc_macd): This function calculates the MACD, Signal, and Histogram values: MACD Line: Difference between the fast and slow exponential moving averages. Signal Line: EMA of the MACD line. Histogram: Difference between the MACD line and Signal line. 4. Requesting Multi-Timeframe Data: The script calculates the MACD, Signal, and Histogram for the selected timeframes (tf1 to tf5) using request.security, which retrieves data for those timeframes: macd_tf1, signal_tf1, hist_tf1 for Timeframe 1 (and similar variables for the other timeframes). 5. Rounding Values: A helper function roundDecimal is used to round MACD, Signal, and Histogram values to two decimal places for readability. 6. Color Assignment Based on Value: The colors of the values in the table cells are dynamically set based on whether the value is positive or negative: MACD, Signal, and Histogram: The script uses conditional color assignments (green for positive values, red for negative values). For example, if the MACD value is greater than or equal to 0, it is colored green, otherwise red. The same logic applies to the Signal and Histogram values. 7. Populating the Table: For each timeframe (tf1 to tf5), the script populates the table with the following data: Timeframe (e.g., "5 min") Rounded MACD value Rounded Signal value Rounded Histogram value The respective color is applied to each value based on whether it is positive or negative. 8. Table Update: The table is updated dynamically with new data on each new bar. Each timeframe’s values are populated into the table starting from row 1 through row 5.
Pine Script®指标
由prabhat76提供
4