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AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Pine Script® ストラテジー
Eddie_Bitcoinの投稿
Low Volatility Breakout in Trend █ OVERVIEW "Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment. █ CONCEPTS The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions. Why Use It? * Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments. * Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter. * Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis. * Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets. How It Works * Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor). * Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility). * Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend). * Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows. * Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications. Settings and Customization * Volatility Window: Length of the period for calculating the average candle body size (default: 20). * Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2). * Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10). * SMA Length for Trend: Period of the SMA for trend detection (default: 100). * Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA. * Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles). * Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels. █ OTHER SECTIONS Usage Examples * Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high. * Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones. Notes for Users * On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead. * Adjust parameters to suit the market's characteristics to minimize noise. * Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Pine Script® インジケーター
Uncle_the_shooterの投稿
Daily High/Low (15m) + EMA Pre-Market H/L + ORBStraightforward: I built a swing-trading indicator with ChatGPT that plots 15-minute highs and lows, draws pre-market high/low lines, and adds a 15-minute opening-range breakout feature. Technical: Using ChatGPT, I developed a swing-trade indicator that calculates 15-minute highs/lows, overlays pre-market high and low levels, and includes a 15-minute Opening Range Breakout (ORB) module. Promotional: I created a ChatGPT-powered swing-trading indicator that maps 15-minute highs/lows, marks pre-market levels, and features a 15-minute Opening Range Breakout for clearer entries.
Pine Script® インジケーター
sheazadjiwaniの投稿
MK_OSFT-Multi-Timeframe MA Dashboard & Smart Alerts-v2📊 Multi-Timeframe MA Dashboard & Smart Alerts v2.0 Transform your trading with the ultimate moving average monitoring system that tracks up to 8 different MA configurations across multiple timeframes simultaneously. 🎯 What This Indicator Does This advanced dashboard eliminates the need to constantly switch between timeframes by displaying all your critical moving averages on a single chart. Whether you're scalping on 5-minute charts or swing trading on daily timeframes, you'll instantly see the big picture. ⭐ Key Features 📈 Multi-Timeframe Moving Averages Monitor up to **8 different MA configurations** simultaneously Support for **SMA and EMA** across 6 timeframes (5m, 15m, 1h, 4h, Daily, Weekly) Each MA fully customizable: length, color, alert settings, and visibility Smart visual representation with labeled horizontal lines and connecting plots 🚨 Intelligent Alert System Cross-over/Cross-under alerts for price vs MA interactions Three alert modes : No alerts, Once only, or Once per bar close Smart batching system prevents alert spam during volatile periods Queue management with 3-second delays between alerts for optimal performance Easy alert reset functionality for "once only" alerts 📊 Real-Time Information Dashboard Live countdown timers showing time remaining until each timeframe closes Color-coded progress bars with gradient visualization (green → yellow → orange → red) Instant cross-over detection with up/down arrow indicators Price vs MA relationship clearly displayed (above/below coloring) 🎨 Professional Visualization Anti-overlap technology prevents labels from clustering Customizable label positioning and sizing options Drawing order control (larger timeframes first/last) Connecting lines link current price to MA values Status line integration for quick value reference 💡 Perfect For Multi-timeframe traders [/b who need complete market context Trend followers monitoring key MA levels across timeframes Breakout traders waiting for price to cross critical moving averages Risk managers using MAs as dynamic support/resistance levels Anyone wanting organized, clutter-free MA monitoring ⚙️ Highly Configurable Moving Average Settings Individual enable/disable for each of 8 MA slots Flexible timeframe selection : 5m, 15m, 1h, 4h, Daily, Weekly MA type choice : SMA or EMA for each configuration Custom lengths from 1 to any desired period Color customization for each MA line and label Alert Management Per-MA alert configuration : Choose which MAs trigger alerts Source selection : Current bar vs last confirmed bar calculations Frequency control : Prevent over-alerting with smart queuing Reset functionality : Easily reactivate "fired" once-only alerts Display Options Table positioning : Top-right, bottom-left, or bottom-right Label styling : Size, offset, and gap control Line customization : Width and extension options Timezone adjustment : Align timestamps with your local time 🔧 Technical Excellence Optimized performance with efficient array management and single-pass calculations Real-time vs historical mode handling for accurate backtesting Memory-efficient label and line management prevents accumulation Robust error handling and edge case management Clean, well-documented code following Pine Script best practices 📋 How to Use Add to chart and configure your desired MA combinations Set alert preferences for each MA (none/once/per bar) Create TradingView alert using "Any alert() function calls" Monitor the dashboard for cross-over signals and timeframe progress Use the info table to track all MA values and alert statuses at a glance 🎓 Educational Value This indicator serves as an excellent educational tool for understanding: Multi-timeframe analysis principles Moving average confluence and divergence Alert system design and management Professional indicator development techniques --- Transform your trading workflow with this professional-grade multi-timeframe MA monitoring system. No more chart hopping - get the complete moving average picture in one powerful dashboard! © MK_OSF_TRADING | Pine Script v6 | Mozilla Public License 2.0
Pine Script® インジケーター
MK_OSF_TRADINGの投稿
2
Infinite EMA with Alpha Control♾️ Infinite EMA with Alpha Control What Makes This EMA "Infinite"? Unlike traditional EMA indicators that are limited to typical periods (1-5000), this Infinite EMA breaks all boundaries. You can create EMAs with periods of 1,000, 10,000, or even 1,000,000 bars - that's why it's called "infinite"! Also Infinite EMA starts working immediately from the very first bar on your chart Why This EMA is "Infinite": 1. Mathematically: When N → ∞, alpha → 0, meaning infinitely long "memory" 2. Practically: You can set any period - even 100,000 bars 3. Flexibility: Alpha allows precise control over the "forgetting speed" How Does It Work? The magic lies in the Alpha parameter. While regular EMAs use fixed formulas, this indicator gives you direct control over the EMA's "memory" through Alpha values: • High Alpha (0.1-0.2): Fast reaction, short memory • Medium Alpha (0.01-0.05): Balanced response • Low Alpha (0.0001-0.001): Extremely slow reaction, very long memory • Ultra-low Alpha (0.000001): Almost frozen in time The Mathematical Formula: Alpha = 2 / (Period + 1) This means you can achieve any EMA period by adjusting Alpha, giving you infinite flexibility! Expanded "Infinite EMA" Table: Period EMA (N) - Alpha (Rounded) - Alpha (Exact) - Description 10 - 0.1818 - 0.181818... - Fast EMA 20 - 0.0952 - 0.095238... - Short-term 50 - 0.0392 - 0.039215... - Medium-term 100 - 0.0198 - 0.019801... - Long-term 200 - 0.0100 - 0.009950... - Standard long-term 500 - 0.0040 - 0.003996... - Very long-term 1,000 - 0.0020 - 0.001998... - Super long-term 2,000 - 0.0010 - 0.000999... - Ultra long-term 5,000 - 0.0004 - 0.000399... - Mega long-term 10,000 - 0.0002 - 0.000199... - Giga long-term 25,000 - 0.00008 - 0.000079... - Century-scale EMA 50,000 - 0.00004 - 0.000039... - Practically motionless 100,000 - 0.00002 - 0.000019... - "Glacial" EMA 500,000 - 0.000004 - 0.000003... - Geological timescale 1,000,000 - 0.000002 - 0.000001... - Approaching constant 5,000,000 - 0.0000004 - 0.0000003... - Virtually static 10,000,000 - 0.0000002 - 0.0000001... - Nearly flat line 100,000,000 - 0.00000002 - 0.00000001... - Mathematical infinity Formula: Alpha = 2/(N+1) where N is the EMA period Key Features: Dual EMA System: Run fast and slow EMAs simultaneously Crossover Signals: Automatic buy/sell signals with customizable alerts Alpha Control: Direct mathematical control over EMA behavior Infinite Periods: From 1 to 100,000,000+ bars Visual Customization: Colors, fills, backgrounds, signal sizes Instant Start: Works accurately from the very first bar Update Intervals: Control calculation frequency for noise reduction Why Choose Infinite EMA? 1. Unlimited Flexibility: Any period you can imagine 2. Mathematical Precision: Direct alpha control for exact behavior 3. Professional Grade: Suitable for all trading styles 4. Easy to Use: Simple settings with powerful results 5. No Warm-up Period: Accurate values from bar #1 Simple Explanation: Think of EMA as a "memory system": • High Alpha = Short memory (forgets quickly, reacts fast) • Low Alpha = Long memory (remembers everything, moves slowly) With Infinite EMA, you can set the "memory length" to anything from seconds to centuries! ⚡ Instant Start Feature - EMA from First Bar Immediate Calculation from Bar #1 Unlike traditional EMA indicators that require a "warm-up period" of N bars before showing accurate values, Infinite EMA starts working immediately from the very first bar on your chart. How It Works: Traditional EMA Problem: • Standard 200-period EMA: Needs 200+ bars to become accurate • First 200 bars: Shows incorrect/unstable values • Result: Large portions of historical data are unusable Infinite EMA Solution: Bar #1: EMA = Current Price (perfect starting point) Bar #2: EMA = Alpha × Price + (1-Alpha) × Previous EMA Bar #3: EMA = Alpha × Price + (1-Alpha) × Previous EMA ...and so on Key Benefits: No Warm-up Period: Start trading signals from day one Full Chart Coverage: Every bar has a valid EMA value Historical Accuracy: Backtesting works on entire dataset New Markets: Works perfectly on newly listed assets Short Datasets: Effective even with limited historical data Practical Impact: Scenario Traditional EMA Infinite EMA New cryptocurrency Unusable for first 200 days ✅ Works from day 1 Limited data (< 200 bars) Inaccurate values ✅ Fully functional Backtesting Must skip first 200 bars ✅ Test entire history Real-time trading Wait for stabilization ✅ Trade immediately Technical Implementation: if barstate.isfirst EMA := currentPrice // Perfect initialization else EMA := alpha × currentPrice + (1-alpha) × previousEMA This smart initialization ensures mathematical accuracy from the very first calculation, eliminating the traditional EMA "ramp-up" problem. Why This Matters: For Backesters: Use 100% of available data For Live Trading: Get signals immediately on any timeframe For Researchers: Analyze complete datasets without gaps Bottom Line: Infinite EMA is ready to work the moment you add it to your chart - no waiting, no warm-up, no exceptions! Unlike traditional EMAs that require a "warm-up period" of 200+ bars before showing accurate values, Infinite EMA starts working immediately from bar #1. This breakthrough eliminates the common problem where the first portion of your chart shows unreliable EMA data. Whether you're analyzing a newly listed cryptocurrency, working with limited historical data, or backtesting strategies, every single bar provides mathematically accurate EMA values. No more waiting periods, no more unusable data sections - just instant, reliable trend analysis from the moment you apply the indicator to any chart. 🔄 Update Interval Bars Feature The Update Interval feature allows you to control how frequently the EMA recalculates, providing flexible noise filtering without changing the core mathematics. Set to 1 for standard behavior (updates every bar), or increase to 5-10 for smoother signals that update less frequently. Higher intervals reduce market noise and false signals but introduce slightly more lag. This is particularly useful on volatile timeframes where you want the EMA's directional bias without every minor price fluctuation affecting the calculation. Perfect for swing traders who prefer cleaner, more stable trend lines over hyper-responsive indicators. Conclusion The Infinite EMA transforms the traditional EMA from a fixed-period tool into a precision instrument with unlimited flexibility. By understanding the Alpha-Period relationship, traders can create custom EMAs that perfectly match their trading style, timeframe, and market conditions. The "infinite" nature comes from the ability to set any period imaginable - from ultra-fast 2-bar EMAs to glacially slow 10-million-bar EMAs, all controlled through a single Alpha parameter. ________________________________________ Whether you're a beginner looking for simple trend following or a professional researcher analyzing century-long patterns, Infinite EMA adapts to your needs. The power of infinite periods is now in your hands! 🚀 Go forward to the horizon. When you reach it, a new one will open up. - J. P. Morgan
Pine Script® インジケーター
Sesilyaの投稿
2
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability. 📊 How the Strategy Works Main Mechanism The strategy builds 4 moving averages: Two senior MAs (on high and low) with a longer period Two junior MAs (on high and low) with a shorter period Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future. Special Feature Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one ⚙️ Indicator Settings Available Moving Average Types EMA - Exponential MA SMA - Simple MA SSMA - Smoothed MA WMA - Weighted MA VWMA - Volume Weighted MA RMA - Adaptive MA DEMA - Double EMA TEMA - Triple EMA Adjustable Parameters Senior MA Length - period for long-term moving averages Junior MA Length - period for short-term moving averages ✅ Advantages of the Strategy 🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries 🔄 Configuration Flexibility - ability to choose MA type and calculation periods ⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal 📈 Visual Clarity - all MAs are displayed on the chart in different colors ⚠️ Disadvantages and Risks 📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements 🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings 📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes 💡 Usage Recommendations Backtest - test the strategy's performance on historical data Optimize Parameters - select MA periods suitable for the specific trading instrument Use Filters - add additional filters to confirm signals Manage Risks - always use stop-loss and take-profit orders. You can safely connect to the exchange via webhook and enjoy trading. Good luck and profits to everyone!!
Pine Script® ストラテジー
Script_Algoの投稿
Fibonacci Zone + EMA RibbonThis script combines two well-known concepts into a single indicator: the Fibonacci Zone and the EMA Ribbon. The Fibonacci Zone highlights potential support and resistance levels derived from recent price ranges, helping traders identify key breakout or reversal areas. The EMA Ribbon overlays multiple exponential moving averages, providing a clear visual representation of market trend and momentum. Together, these two tools allow traders to assess both dynamic support/resistance and trend direction at a glance, making it easier to spot confluence zones and high-probability trading opportunities. This indicator can be effectively applied on shorter timeframes such as 5m, 15m, or 30m for active trading. For additional confirmation of medium- to long-term trend direction, it is recommended to complement it with the 20-period SMA from the 4H timeframe.
Pine Script® インジケーター
Lucky_Turtleの投稿
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities. 🔶 Advanced Statistical Normalization Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions. // Core EMA and Oscillator Calculation ema_values = ta.ema(close, ema_period) oscillator_values = close - ema_values rolling_std = ta.stdev(oscillator_values, ema_period) z_score = oscillator_values / rolling_std 🔶 Dual Threshold System Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes. // Statistical Thresholds mild_threshold = 1.0 // ±1σ (68% confidence) moderate_threshold = 2.0 // ±2σ (95% confidence) extreme_threshold = 3.0 // ±3σ (99.7% confidence) // Percentage-Based Dynamic Thresholds osc_high = ta.highest(math.abs(z_score), lookback_period) mild_pct_thresh = osc_high * (mild_pct / 100.0) moderate_pct_thresh = osc_high * (moderate_pct / 100.0) extreme_pct_thresh = osc_high * (extreme_pct / 100.0) 🔶 Signal Generation Framework Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration. // Extreme Signal Detection sell_signal = ta.crossover(z_score, selected_extreme) buy_signal = ta.crossunder(z_score, -selected_extreme) // Dynamic Color Coding signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought z_score >= selected_moderate ? #ff6a6a : // Overbought z_score >= selected_mild ? #b86456 : // Mildly Overbought z_score > -selected_mild ? #a1a1a1 : // Neutral z_score > -selected_moderate ? #01b844 : // Mildly Oversold z_score > -selected_extreme ? #00ff66 : // Oversold #00ff66 // Extremely Oversold 🔶 Visual Structure Analysis Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing. snapshot 4H 1D 🔶 Adaptive Threshold Selection Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles. 🔶 Performance Optimization Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options. 🔶 Market Oscillator Interpretation Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches. snapshot 🔶 Intelligent Signal Management Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles. Why Choose EMA Oscillator ? This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
Pine Script® インジケーター
AlphaExtractの投稿
Enhanced EMA Crossover with Supertrend + Ribbon + Multi TFThe indicator has 4 core indicators in 1, the supertrend, the 2ema crossover, the moving average ribbon and a multi-timeframe trend indicator. I have modified the code for better visuals, all the indicators are fully customizable for better visuals and trend identification. Specially the 2 ema crossover indicator ribbon should guide you in the direction of the overall trend in different timeframes. The white dots were added to the real price close on everu candle , it is very usefull visually to see exactly where the price is closing specially when using heiken ashi candles. The small arrows on every candle should guide you in the direction of the overall trend when adjusting the 2 ema crossover lengths, the bigger arrow plots on the first candle only when the 2 ema crossover happens to either direction, using the supertrend indicator with the moving averages will also help you keep in the right trend direction.
Pine Script® インジケーター
angel68roaの投稿
Script_Algo - Fibo Correction Strategy🔹 Core Concept The strategy is built on combining Fibonacci retracement levels, candlestick pattern confirmation, and trend filtering for trade selection. It performs well on the 1-hour timeframe across many cryptocurrency pairs. Particularly on LINKUSDT over the past year and a half, despite the not very optimal 1:1 risk/reward ratio. The logic is simple: after a strong impulse move, the price often retraces to key Fibonacci levels (specifically, the 61.8% level). If a confirming candlestick (pattern) appears at this moment, the strategy looks for an entry in the direction of the main trend. 🔹 Indicators Used in the Strategy ATR (Average True Range) — Used to calculate the stop-loss and take-profit levels. EMA (9 and 21) — Additional moving averages for assessing the direction of movement (not directly used in entry conditions, but the logic can be expanded to include them). SMA (Trend Filter, 20 by default) — The trend direction filter. Trades are only opened in its direction. Fibonacci Levels — The 61.8% retracement level is calculated based on the high and low of the previous candle. 🔹 Entry Conditions 🟢 Long (Buy): Previous Candle: Must be green (close higher than open). Must have a body not smaller than a specified minimum. The upper wick must not exceed 30% of the body size. → This filters out "weak" or "indecisive" candles. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes above this level. Closes above the Trend Filter (SMA) line. A position is opened only if there are no other open trades at the moment. 🔴 Short (Sell): Previous Candle: Must be red (close lower than open). Must have a body not smaller than a specified minimum. The lower wick must not exceed 30% of the body size. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes below this level. Closes below the Trend Filter (SMA) line. A trade is opened only if there are no other open positions. 🔹 Risk Management Stop-Loss = ATR × multiplier (default is 5). Take-Profit = ATR × the same multiplier. Thus, the default risk/reward ratio is 1:1, but it can be easily adjusted by changing the coefficient. Although, strangely enough, this ratio has shown the best results on some assets on the 1-hour timeframe. 🔹 Chart Visualization Fibonacci level for Long — Green line with circles. Fibonacci level for Short — Red line with circles. Trend Filter line (SMA) — Blue. 🔹 Strengths of the Strategy ✅ Utilizes a proven market pattern — retracement to the 61.8% level. ✅ Further filters entries using trend and candlestick patterns. ✅ Simple, transparent logic that is easy to expand (e.g., adding other Fib levels, an EMA filter, etc.). 🔹 Limitations ⚠️ Performs better in trending markets; can generate false signals during ranging (sideways) conditions. ⚠️ The fixed 1:1 risk/reward ratio is not always optimal and could be refined. ⚠️ Performance depends on the selected timeframe and ATR parameters. 📌 Summary: The strategy seeks corrective entries in the direction of the trend, confirmed by candlestick patterns. It is versatile and can be applied to forex pairs, cryptocurrencies, and stocks. ⚠️ Not financial advice. Pay close attention to risk management to avoid blowing your account. The strategy is not repainting — I have personally verified it through real testing — but it may not necessarily replicate the same results in the future, as the market is constantly changing. Test it, profit, and good luck to everyone!
Pine Script® ストラテジー
Script_Algoの投稿
2
Golden Cross Strategy & BacktesterGolden Cross Strategy & Backtester 📈🚀 Overview This script provides a complete backtesting environment for the classic Golden Cross trend-following strategy. It is designed to be simple, visual, and easy to use. 💪 The strategy operates on the following logic: 🔼 Long Entry: A "Buy" signal is generated when the short-term moving average (Short MA) crosses above the long-term moving average (Long MA). 🔽 Exit: The position is closed when the short-term moving average crosses back below the long-term moving average (a "Death Cross"). The background of the chart will be shaded green 🎨 during periods when the strategy is holding an active position. How to Use for Backtesting 🔬 This is a strategy script, which means its main purpose is to test the historical performance of this trading idea. Add this script to your chart. Open the "Strategy Tester" panel at the bottom of your chart. In the "Overview" and "Performance" tabs, you can see detailed results 📊, such as the Net Profit and Max Drawdown, to evaluate the strategy's effectiveness. Customization ⚙️ You can easily customize the strategy's parameters without editing the code. Click the Settings/Gear icon (⚙️) next to the script's name on your chart. In the "Inputs" tab, you can change: 📏 Short MA Length: The period for the fast-moving average (default is 50). 📏 Long MA Length: The period for the slow-moving average (default is 200). In the "Properties" tab, you can change: 💰 Initial Capital: The starting balance for the backtest. Feel free to test different settings to find what works best for your preferred asset and timeframe! Happy testing! 🎉
Pine Script® ストラテジー
acdw12の投稿
Daryl Guppy's Multiple Moving Averages - GMMAThe Guppy EMAs indicator (Daryl Guppy’s method) displays two groups of exponential moving averages (EMAs) on the chart: Fast EMA group: 3, 5, 8, 10, 12, 15 periods (thinner, more responsive lines) Slow EMA group: 30, 35, 40, 45, 50, 60 periods (thicker, smoother lines) Color Logic: Fast EMAs turn AQUA if all fast EMAs are in bullish alignment and slow EMAs are in bullish alignment. Fast EMAs turn ORANGE if all fast EMAs are in bearish alignment and slow EMAs are in bearish alignment. Otherwise, fast EMAs appear GRAY. Slow EMAs turn LIME when in bullish order, RED when bearish, and remain GRAY otherwise. The area between the outermost fast EMAs and slow EMAs is filled with a semi-transparent silver color for visual emphasis.
Pine Script® インジケーター
arshadfahoumの投稿