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YASINKARACAThe short-, medium-, and long-term indicator I have created is actually composed of moving averages, trend-following tools, Bollinger Bands, and various other indicators. You can use this indicator on any time frame. If the turquoise moving average crosses above the orange moving average, it should be interpreted as a buy signal; if it crosses below, it should be interpreted as a sell signal. Additionally, the white trend-following line indicates safety when the price is above it and risk when the price is below it. The upper and lower lines of the Bollinger Bands are presented in gray. When the price approaches the lower Bollinger Band, it can be interpreted as a buying opportunity; when it reaches the upper band, it can be seen as a selling opportunity. If the price is above the orange-colored slow moving average, the trend should be considered upward; if it is below, the trend is downward. Wishing you success and a great day. Yasin Karaca
Pine Script™ 전략
yasinwien55의
14
Advanced Momentum Scanner [QuantAlgo]The Advanced Momentum Scanner is a sophisticated technical indicator designed to identify market momentum and trend direction using multiple exponential moving averages (EMAs), momentum metrics, and adaptive visualization techniques. It is particularly valuable for those looking to identify trading and investing opportunities based on trend changes and momentum shifts across any market and timeframe. 🟢 Technical Foundation The Advanced Momentum Scanner utilizes a multi-layered approach with four different EMA periods to identify market momentum and trend direction: Ultra-Fast EMA for quick trend changes detection (default: 5) Fast EMA for short-term trend analysis (default: 10) Mid EMA for intermediate confirmation (default: 30) Slow EMA for long-term trend identification (default: 100) For momentum detection, the indicator implements a Rate of Change (RoC) calculation to measure price momentum over a specified period. It further enhances analysis by incorporating RSI readings for overbought/oversold conditions, volatility measurements through ATR, and optional volume confirmation. When these elements align, the indicator generates trading signals based on the selected sensitivity mode (Conservative, Balanced, or Aggressive). 🟢 Key Features & Signals 1. Multi-Period Trend Identification The indicator combines multiple EMAs of different lengths to provide comprehensive trend analysis within the same timeframe, displaying the information through color-coded visual elements on the chart. When an uptrend is detected, chart elements are colored with the bullish theme color (default: green/teal). Similarly, when a downtrend is detected, chart elements are colored with the bearish theme color (default: red). During neutral or indecisive periods, chart elements are colored with a neutral gray color, providing clear visual distinction between trending and non-trending market conditions. This visualization provides immediate insights into underlying trend direction without requiring separate indicators, helping traders and investors quickly identify the market's current state. 2. Trend Strength Information Panel The trend panel operates in three different sensitivity modes (Conservative, Aggressive, and Balanced), each affecting how the indicator processes and displays market information. The Conservative mode prioritizes trend sustainability over frequency, showing only strong trend movements with high probability. The Aggressive mode detects early trend changes, providing more frequent signals but potentially more false positives. The Balanced mode offers a middle ground with moderate signal frequency and reliability. Regardless of the selected mode, the panel displays: Current trend direction (UPTREND, DOWNTREND, or NEUTRAL) Trend strength percentage (0-100%) Early detection signals when applicable The active sensitivity mode This comprehensive approach helps traders and investors: → Assess the strength of current market trends → Identify early potential trend changes before full confirmation → Make more informed trading and investing decisions based on trend context 3. Customizable Visualization Settings This indicator offers extensive visual customization options to suit different trading styles and preferences: Display options: → Fully customizable uptrend, downtrend, and neutral colors → Color-coded price bars showing trend direction → Dynamic gradient bands visualizing potential trend channels → Optional background coloring based on trend intensity → Adjustable transparency levels for all visual elements These visualization settings can be fine-tuned through the indicator's interface, allowing traders and investors to create a personalized chart environment that emphasizes the most relevant information for their strategy. The indicator also features a comprehensive alert system with notifications for: New trend formations (uptrend, downtrend, neutral) Early trend change signals Momentum threshold crossovers Other significant market conditions Alerts can be customized and delivered through TradingView's notification system, making it easy to stay informed of important market developments even when you are away from the charts. 🟢 Practical Usage Tips → Trend Analysis and Interpretation: The indicator visualizes trend direction and strength directly on the chart through color-coding and the information panel, allowing traders and investors to immediately identify the current market context. This information helps in assessing the potential for continuation or reversal. → Signal Generation Strategies: The indicator generates potential trading signals based on trend direction, momentum confirmation, and selected sensitivity mode. Users can choose between Conservative (fewer but more reliable signals), Balanced (moderate approach), or Aggressive (more frequent but potentially less reliable signals). → Multi-Period Trend Assessment: Through its layered EMA approach, the indicator enables users to understand trend conditions across different lookback periods within the same timeframe. This helps in identifying the dominant trend and potential turning points. 🟢 Pro Tips Adjust EMA periods based on your timeframe: → Lower values for shorter timeframes and more frequent signals → Higher values for higher timeframes and more reliable signals Fine-tune sensitivity mode based on your trading style: → "Conservative" for position trading/long-term investing and fewer false signals → "Balanced" for swing trading/medium-term investing with moderate signal frequency → "Aggressive" for scalping/day trading and catching early trend changes Look for confluence between components: → Strong trend strength percentage and direction in the information panel → Overall market context aligning with the expected direction Use for multiple trading approaches: → Trend following during strong momentum periods → Counter-trend trading at band extremes during overextension → Early trend change detection with sensitivity adjustments → Stop loss placement using dynamic bands Combine with: → Volume indicators for additional confirmation → Support/resistance analysis for strategic entry/exit points → Multiple timeframe analysis for broader market context
Pine Script® 인디케이터
QuantAlgo의
6
Scalping Strategy (by Plan-F7)Scalping Strategy (by Plan-F7) A powerful scalping indicator optimized for lower timeframes (5-min and 15-min). It combines multiple technical indicators for high-probability entries: RSI & Stochastic RSI for overbought/oversold signals MACD for trend confirmation EMA 9 & EMA 21 to define trend direction ADX to filter trades based on trend strength ATR for dynamic Take Profit and Stop Loss levels How to use: Green arrow with "BUY" label = Buy Signal Red arrow with "SELL" label = Sell Signal TP and SL levels are automatically plotted Best used on 5-min or 15-min charts for fast entries Supports visual and audio alerts مؤشر سكالبينج (Scalping Strategy by Plan-F7) مصمم خصيصًا للتداول السريع على الفريمات الصغيرة (5 دقائق و15 دقيقة). يعتمد على دمج عدة مؤشرات فنية قوية: RSI و Stochastic RSI لتحديد مناطق التشبع الشرائي/البيعي MACD لتأكيد الاتجاه المتوسطات المتحركة (EMA 9 و 21) لتحديد الاتجاه العام ADX لتأكيد قوة الاتجاه قبل الدخول ATR لحساب الأهداف (Take Profit) ووقف الخسارة (Stop Loss) بشكل ديناميكي طريقة الاستخدام: إشارات الشراء تظهر بسهم أخضر وكلمة "BUY" إشارات البيع تظهر بسهم أحمر وكلمة "SELL" تظهر خطوط على الشارت تمثل الأهداف ووقف الخسارة يمكن استخدامه على فريم 5 أو 15 دقيقة لتحقيق صفقات سريعة بدقة عالية يدعم تنبيهات بصرية وصوتية
Pine Script® 인디케이터
Plan_f7의
5
MA Crossover [AlchimistOfCrypto]🌌 MA Crossover Quantum – Illuminating Market Harmonic Patterns 🌌 Category: Trend Analysis Indicators 📈 "The moving average crossover, reinterpreted through quantum field principles, visualizes the underlying resonance structures of price movements. This indicator employs principles from molecular orbital theory where energy states transition through gradient fields, similar to how price momentum shifts between bullish and bearish phases. Our implementation features algorithmically optimized parameters derived from extensive Python-based backtesting, creating a visual representation of market energy flows with dynamic opacity gradients that highlight the catalytic moments where trend transformations occur." 📊 Professional Trading Application The MA Crossover Quantum transcends the traditional moving average crossover with a sophisticated gradient illumination system that highlights the energy transfer between fast and slow moving averages. Scientifically optimized for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive trend transitions with unprecedented clarity. ⚙️ Indicator Configuration - Timeframe Presets 📏 Python-optimized parameters for specific timeframes: - 1H: EMA 23/395 - Ideal for intraday precision trading - 4H: SMA 41/263 - Balanced for swing trading operations - 1D: SMA 8/44 - Optimized for daily trend identification - 1W: SMA 32/38 - Calibrated for medium-term position trading - 2W: SMA 17/20 - Engineered for long-term investment signals - Custom Settings 🎯 Full parameter customization available for professional traders: - Fast/Slow MA Length: Fine-tune to specific market conditions - MA Type: Select between EMA (exponential) and SMA (simple) calculation methods - Visual Theming 🎨 Eight scientifically designed visual palettes optimized for neural pattern recognition: - Neon (default): High-contrast green/red scheme enhancing trend transition visibility - Cyan-Magenta: Vibrant palette for maximum visual distinction - Yellow-Purple: Complementary colors for enhanced pattern recognition - Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments - Opacity Control 🔍 - Variable transparency system (0-100) allowing seamless integration with price action - Adaptive glow effect that intensifies around crossover points - the "catalytic moments" of trend change 🚀 How to Use 1. Select Timeframe ⏰: Choose from scientifically optimized presets based on your trading horizon 2. Customize Parameters 🎚️: For advanced users, disable presets to fine-tune MA settings 3. Choose Visual Theme 🌈: Select a color scheme that enhances your personal pattern recognition 4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis 5. Identify Trend Changes ✅: Monitor gradient intensity to spot high-probability transition zones 6. Trade with Precision 🛡️: Use gradient intensity variations to determine position sizing and risk management Developed through rigorous mathematical modeling and extensive backtesting, MA Crossover Quantum transforms the fundamental moving average crossover into a sophisticated visual analysis tool that reveals the molecular structure of market momentum.
Pine Script® 인디케이터
AlchimistOfCrypto의
Chandelier Exit with ZLSMA SwiftEdgeChandelier Exit with ZLSMA Overview The "Chandelier Exit with ZLSMA" indicator is a powerful trading tool designed to identify trend reversals and high-probability entry points in financial markets. By combining the volatility-based Chandelier Exit with the low-lag Zero Lag Least Squares Moving Average (ZLSMA), this indicator provides clear Buy and Sell signals, enhanced with a unique signal strength score to help traders prioritize high-quality opportunities. Visual enhancements, including dynamic color coding, background highlights, and trend arrows, make it intuitive and visually appealing for both novice and experienced traders. What It Does This indicator generates Buy and Sell signals when a trend reversal is detected by the Chandelier Exit, but only if the price crosses the ZLSMA for the first time in the direction of the trend. Each signal is accompanied by a percentage score (0-100%) that measures its strength based on price movement and momentum. The indicator overlays directly on the price chart, displaying: Buy/Sell labels with signal strength (e.g., "Buy (85%)"). A ZLSMA line that changes color (green for bullish, red for bearish) to indicate trend direction. Background highlights to mark signal candles. Trend arrows to visually confirm signal points. How It Works The indicator combines two complementary components: Chandelier Exit: Uses the Average True Range (ATR) to create dynamic trailing stop levels (long_stop and short_stop) that adapt to market volatility. Signals a Buy when the price crosses above the short stop (indicating a potential uptrend) and a Sell when it crosses below the long stop (indicating a potential downtrend). Default settings use an ATR period of 1 and a multiplier of 2.0 for high sensitivity to short-term price movements. Zero Lag LSMA (ZLSMA): A low-lag moving average based on linear regression, designed to reduce delay compared to traditional moving averages. Acts as a trend filter: Buy signals are only generated when the price closes above ZLSMA for the first time, and Sell signals when it closes below for the first time. Default length of 50 balances smoothness with responsiveness. Signal Strength Score: Each signal is assigned a score (0-100%) based on: Distance to ZLSMA (60% weight): How far the price is from ZLSMA, normalized by ATR. Larger distances indicate stronger breakouts. Candlestick size (40% weight): The size of the signal candle, normalized by ATR. Larger candles suggest stronger momentum. A high score (e.g., >80%) indicates a robust signal, while a low score (e.g., <50%) suggests caution. Visual Features: The ZLSMA line changes color (green for bullish, red for bearish) to reflect the trend. Signal candles are highlighted with a subtle green (Buy) or red (Sell) background. Tiny triangular arrows appear below Buy signals and above Sell signals for clear visual confirmation. Why Combine Chandelier Exit and ZLSMA? The Chandelier Exit excels at identifying trend reversals through volatility-based stops, but it can generate false signals in choppy markets due to its sensitivity (especially with a short ATR period of 1). The ZLSMA addresses this by acting as a trend filter, ensuring signals are only triggered when the price confirms a trend by crossing the ZLSMA for the first time. This combination reduces noise and focuses on high-probability setups. The signal strength score further enhances decision-making by quantifying the conviction behind each signal, making the indicator feel intuitive and "smart." How to Use Setup: Add the indicator to your chart in TradingView. Adjust inputs in the settings panel: ATR Period (default: 1): Controls the sensitivity of Chandelier Exit. Increase for smoother signals. ATR Multiplier (default: 2.0): Sets the distance of stop levels from price extremes. ZLSMA Length (default: 50): Adjusts the smoothness of the ZLSMA line. Shorter lengths (e.g., 20-30) are more responsive; longer lengths (e.g., 50-100) are smoother. Use Close Price for Extremums (default: true): Determines whether Chandelier Exit uses closing prices or high/low prices for calculations. Interpreting Signals: Buy Signal: A green "Buy (X%)" label appears below a candle when the price crosses above the Chandelier Exit short stop and closes above ZLSMA for the first time. The percentage indicates signal strength (higher = stronger). Sell Signal: A red "Sell (X%)" label appears above a candle when the price crosses below the Chandelier Exit long stop and closes below ZLSMA for the first time. Use the ZLSMA line’s color (green for bullish, red for bearish) to confirm the overall trend. Prioritize signals with high strength scores (e.g., >70%) for better reliability. Trading Considerations: Combine signals with other analysis (e.g., support/resistance, volume) for confirmation. Test the indicator on a demo account or use TradingView’s Strategy Tester to evaluate performance. Be cautious with the default ATR period of 1, as it is highly sensitive and may generate frequent signals in volatile markets. What Makes It Unique This indicator stands out due to its thoughtful integration of Chandelier Exit and ZLSMA, creating a synergy that balances sensitivity with reliability. The first-cross filter ensures signals are triggered only at the start of potential trends, reducing false positives. The signal strength score adds a layer of intelligence, helping traders assess the quality of each signal without needing external tools. Visual enhancements, such as dynamic ZLSMA coloring, background highlights, and trend arrows, make the indicator user-friendly and visually engaging, appealing to traders seeking a modern, intuitive tool. Limitations and Notes The short ATR period (1) makes the indicator highly sensitive, which suits short-term traders but may produce noise in sideways markets. Increase the ATR period for smoother signals. The signal strength score is a heuristic based on price movement and momentum, not a predictive model. Use it as a guide, not a definitive predictor. Always backtest the indicator on your preferred market and timeframe to ensure it aligns with your trading strategy.
Pine Script® 인디케이터
SwiftEdge의
Dskyz (DAFE) AI Adaptive Regime - Pro Dskyz (DAFE) AI Adaptive Regime - Pro: Redefining Trading Excellence Introduction welcome to a new era of trading! the Dskyz (DAFE) Ai Adaptive Regime - Pro is a strategy on TradingVew that combines ai-driven adaptability with practical trading tools. it’s built for traders of all levels—whether you’re just starting out or you’ve been in the game for years. this strategy dynamically adjusts to any market condition (trending, ranging, volatile, or quiet) using a unique blend of indicators and ai logic. it’s available on TradingView scripts and has been backtested on the nasdaq 100 micro futures (MNQ1!) to show real results. this is an updated version of my previous script , now with refined settings like a faster 3-period fast MA, a 2-minute HTF for RSI/MACD, and an exaggerated commission of $10 per side to demonstrate the strategy’s robustness. What It Does and Why It’s Unique this strategy isn’t just another tradingview script—it’s a system that thinks on its feet. most strategies struggle when market conditions change, but this one uses regime detection to identify the market’s state and adjust its approach. here’s the core idea: it analyzes the market using multiple indicators, assigns a “regime” (trending, ranging, volatile, or quiet), and then tailors its signals to match. this adaptability comes from combining several concepts: regime detection: uses the average directional index (ADX) to spot trends (ADX > 15), bollinger bands (BB) width to measure volatility, and ATR to gauge price movement. this ensures the strategy knows when to trade aggressively (trending markets) or sit tight (ranging markets). multi-timeframe confirmation: pulls RSI and MACD from a higher timeframe (default: 2 minutes) to filter out noise on the 1-minute chart. for example, if the 2-minute RSI is overbought (>75), it’ll avoid long trades even if the 1-minute chart looks bullish. candlestick patterns: spots setups like bullish engulfing, hammers, and double bottoms, but only acts when volume confirms the move (volume > 1.5x the 20-period average). this cuts down on false signals. dynamic risk management: sets stops and targets using ATR (default period: 3, multiplier: 4.6), so your risk adjusts to volatility. trailing stops kick in to lock in profits as the trade moves your way. what makes this script stand out is how these pieces work together. the ADX and BBs define the market’s state, the HTF RSI/MACD confirms the trend, candlestick patterns pinpoint entries, and ATR keeps your risk in check. most TradingView scripts focus on one or two of these—like just following a moving average crossover—but this strategy’s multi-layered approach ensures it’s ready for any market. plus, it learns from recent trades (using a 5-trade window) to tweak its risk settings, making it smarter over time. How It Works: Key Components let’s break down the main indicators and how they fit into the strategy: adaptive moving averages: uses a fast EMA (3-period) and slow EMA (36-period) to determine trend direction. if the fast MA is above the slow MA by more than 100x ATR, it’s a bullish trend. this helps avoid choppy markets where MAs often give false signals. average true range (ATR): calculates dynamic stops and targets. for example, a long entry might set a stop at the recent swing low minus 4.6x ATR, ensuring the stop isn’t too tight in volatile markets. multi-timeframe RSI & MACD: checks the 2-minute chart for RSI (overbought/oversold) and MACD (trend direction). this adds a layer of confirmation, so you’re not trading against the bigger trend. bollinger bands: measures volatility to classify regimes. a wide BB (above the 50-period average) signals a volatile market, while a narrow BB suggests a quiet market. the bands also help spot overextended moves for potential reversals. candlestick patterns: looks for patterns like hammers or double bottoms near support/resistance, but only if volume spikes to confirm. this ensures the pattern isn’t just noise. these components feed into a scoring system. for a buy signal, the strategy checks the regime, trend direction, HTF indicators, and candlestick patterns, assigning points for each (e.g., a bullish engulfing pattern adds 0.5, a bullish HTF MACD adds 0.3). if the total score hits 1.0 or higher, it triggers a trade. this layered approach makes signals more reliable than a single-indicator strategy. Default Properties and Backtest Settings To keep things realistic and transparent, here are the default settings used in the script and Backtest: symbol: MNQ1! (nasdaq 100 micro futures) timeframe: 1 minute initial capital: $50,000 (realistic for the average trader) commission: $10 per side ($20 round trip per trade), intentionally exaggerated to demonstrate the strategy’s effectiveness under high fees. typical micro futures commissions are $1.00-$3.00 round trip per contract, so this is ~10x higher to stress-test the system slippage: 4 ticks (1 point, since MNQ has 4 ticks per point) risk per trade: $200 (0.4% of capital, well below the 5-10% max risk guideline) max contracts: 2 (but backtest shows max held is 1 contract per trade) ATR period: 3 ATR multiplier: 4.6 fast MA: 3-period EMA slow MA: 36-period EMA HTF: 2 minutes for RSI/MACD backtest period: march 23, 2025, 17:00 to april 17, 2025, 15:59 (25 days, 73 trades) the backtest results showed a net profit of $10,573 with a 46.58% win rate and a 2.657 win/loss ratio over 73 trades. this averages 2.9 trades per day on a 1-minute chart. while this is below the recommended 100+ trades for a sample size, the strategy’s settings (e.g., fast MA of 3, slow MA of 36, 2-minute HTF) are tuned for fewer, higher-quality trades, and the stable win rate and strong profit factor (2.316) suggest reliability. the max drawdown was $1,394.50 (2.35% of initial capital), within the 5-10% guideline. total commission paid was $1,470 (73 trades * $20), which is high due to the exaggerated $10 per side fee. if using a more typical $1.00 per trade commission, total fees would be $73, increasing net profit to $11,050. this shows the strategy performs even better under realistic conditions. How to Use It this script is designed to be user-friendly, even if you don’t know pine script. here’s how to get started: add to chart: load the script on tradingview and apply it to a 1-minute MNQ1! chart (or your preferred instrument/timeframe after testing). check presets: the script offers three modes—aggressive, conservative, and optimized. start with “optimized” (default) for a balanced approach. you can switch modes in the inputs tab. read the dashboard: a table at the bottom-left shows key metrics like trend direction, ATR, RSI, and the current regime (trending, ranging, etc.). use this to understand the market’s state. watch for signals: green triangles below bars signal a buy, red triangles above bars signal a sell. the script also plots stop-loss and take-profit levels (red/green lines) for each trade. monitor visuals: the chart background changes color based on the regime (green for trending, orange for ranging, etc.), and bollinger bands (upper green, lower red, center white) help you see volatility. backtest first: before live trading, run a backtest with your settings to see how it performs on your instrument and timeframe. adjust risk per trade or max contracts in the inputs if needed. for pros, you can dive into the inputs to tweak things like the ATR multiplier, MA lengths, or HTF timeframe. the script also includes a debug table (top-left) to show regime counts and indicator values, which is great for fine-tuning. Key Features and Benefits market adaptability: switches between four regimes to trade smarter in any condition. precision signals: combines HTF RSI/MACD, candlestick patterns, and volume for reliable entries/exits. smart risk management: ATR-based stops and trailing stops keep your capital safe. self-optimizing ai: adjusts risk based on recent trades to improve over time. user-friendly design: presets and a sleek dashboard make it easy for beginners. visual appeal: color-coded backgrounds, glow-effect bands, and clear signal markers. Limitations and Considerations no strategy is perfect, so here’s what to keep in mind: market dependency: works best on futures like MNQ or ES due to consistent tick values. stocks or forex may need adjustments to ATR or risk settings. l earning curve: presets make it easy, but understanding regimes and indicators unlocks its full potential. check the dashboard to learn as you go. no guarantees: success depends on market conditions and discipline. backtest thoroughly before live trading. exaggerated commission: the backtest uses a high $10 per side commission to stress-test the strategy. real-world fees are typically lower, which would improve performance. Conclusion The Dskyz (DAFE) Ai adaptive regime - Pro is here to help you trade smarter, not harder. its ai-driven adaptability, multi-timeframe precision, and user-friendly design make it a powerful tool for any trader. despite a high $10 per side commission in the backtest, it still delivered a $10,573 profit, proving its robustness. under typical fees, performance would be even stronger. whether you’re chasing trends on MNQ or testing it on another instrument, this strategy gives you an edge with its dynamic signals and risk management. add it to your chart, backtest it, and see why it’s redefining trading excellence. let’s trade with discipline, vision, and pro-level precision! 🚀 —Dskyz
Pine Script™ 전략
DskyzInvestments의
Scalping Strategy with DCA - V3# Enhanced Scalping Strategy with DCA - V3 ## Strategy Overview This strategy combines multiple technical indicators with a structured Dollar Cost Averaging (DCA) approach to create a comprehensive trading system for cryptocurrency markets. Unlike simple indicator mashups, this strategy integrates several confirmation layers for entries while implementing a sophisticated risk management system based on the 1-2-6 DCA ratio. ## What Makes This Strategy Unique 1. **Multi-Layered Entry Confirmation System**: - Uses EMA crossover as the primary trigger - Adds RSI momentum confirmation - Integrates MACD for trend strength - Includes RSI divergence for reversal potential - Incorporates higher timeframe confirmation for trend alignment 2. **Structured Risk Management**: - Implements a 1-2-6 DCA ratio to strategically average into positions - Uses percentage-based stop losses that adapt based on DCA status - Features a two-tiered take profit system (25% at TP1, 50% at TP2) - Optional breakeven stop loss after second take profit target - Initial risk limited to a small percentage of account (1-3%) 3. **Versatile Market Adaption**: - Additional entry opportunities during oversold/overbought Bollinger Band touches - Customizable filters that can be enabled/disabled based on market conditions - Higher timeframe confirmation to ensure alignment with larger trends ## How The Components Work Together ### Entry System Components 1. **48 EMA** serves as the primary trend filter and entry trigger. Price crossing above/below this EMA signals a potential trend change. 2. **RSI (Relative Strength Index)** confirms momentum in the intended direction: - For longs: RSI > 20 shows bullish momentum - For shorts: RSI < 80 shows bearish momentum 3. **MACD (Moving Average Convergence Divergence)** filters out weak trends: - For longs: MACD line crosses above signal line - For shorts: MACD line crosses below signal line 4. **RSI Divergence Detection** identifies potential reversals where price makes a new high/low but RSI fails to confirm, suggesting momentum is weakening. 5. **Higher Timeframe Confirmation** ensures the trade aligns with the larger trend structure by checking EMA and RSI on a higher timeframe (default is daily). 6. **Bollinger Bands** provide additional entry triggers during strong oversold/overbought conditions: - Long entry when price touches lower band with RSI < 20 - Short entry when price touches upper band with RSI > 80 ### The DCA Mechanism The strategy employs a 1-2-6 ratio for Dollar Cost Averaging: - **Initial position**: 1 unit based on account risk percentage - **First DCA level**: Adds 2 units when price moves against initial entry by the first DCA level percentage (default 1%) - **Second DCA level**: Adds 6 units when price moves further against entry by the second DCA level percentage (default 2%) This structured approach reduces average entry price during temporary adverse price movements, potentially converting losing trades into winners when the expected price movement eventually occurs. ### Exit Strategy The strategy uses multiple exit mechanisms: 1. **Tiered Take Profits**: - First TP at takeProfitPercent1 from entry (default 0.5%) - closes 25% of position - Second TP at takeProfitPercent2 from entry (default 1.0%) - closes 50% of position - Remaining 25% runs with trailing stop loss or until stopped out 2. **Stop Loss Management**: - Initial SL set at stopLossPercent from entry (default 1.5%) - After full DCA deployment, SL adjusts to fixedSLPercent from entry (default 1.3%) - Optional breakeven SL after second take profit hits ## Backtesting Settings & Recommendations For realistic backtesting, please configure the following in the strategy Properties panel: - **Commission**: 0.075% (typical for major cryptocurrency exchanges) - **Slippage**: 0.05% (accounts for execution delays and spread) - **Initial Capital**: $10,000 (realistic starting capital for the average trader) - **Date Range**: January 2024 to present (provides sufficient sample size) These settings ensure backtesting results closely match real trading conditions. The strategy is designed to never risk more than 3% of account equity on any trade, with typical risk between 1-2%. ## Recommended Markets & Timeframes This strategy performs best in: 1. **Markets**: - Cryptocurrency markets with high liquidity - Assets with market capitalization > $1 billion - Coins with holder ratio > 7% (reducing manipulation risk) 2. **Timeframes**: - Primary: 1-hour and 4-hour charts - Secondary: 15-minute charts for faster execution - Higher timeframe confirmation: Daily chart ## Parameter Customization Guide The strategy offers multiple customization options to adapt to different trading styles and market conditions: 1. **Risk Settings**: - initialRiskPercent: Adjust between 0.5-2% for conservative to moderate approaches - stopLossPercent: 1-3% based on volatility of the asset - takeProfitPercent1/2: Can be adjusted based on average volatility 2. **Entry Filters**: - Enable/disable MACD filter for additional confirmation - Enable/disable RSI divergence for reversal trading - Enable/disable higher timeframe confirmation for trend alignment 3. **DCA Settings**: - dcaLevel1/2: Adjust based on asset volatility (higher for more volatile assets) - Change the 1-2-6 ratio by modifying the position size calculations ## Visual Outputs Explained The strategy displays the following visual elements: 1. **Indicator plots**: - 48 EMA (blue line): Main trend filter - Bollinger Bands (upper: red, middle: yellow, lower: green): Volatility and overbought/oversold levels 2. **Trade management levels**: - Stop Loss level (red circles): Current SL price - Take Profit levels (green circles): TP1 and TP2 targets 3. **Information panel**: - Displays strategy settings and current mode - Shows active filters and risk parameters - Reminds about market cap and holder ratio requirements ## Real-World Trading Tips When implementing this strategy in real trading: 1. Start with conservative risk settings (0.5-1%) 2. Trade only in favorable market conditions initially 3. Consider reducing position size during high market uncertainty 4. Monitor higher timeframe trends before taking entries 5. Always check market cap and holder ratio before trading a coin 6. Set up proper alerts for EMA crosses with RSI confirmation 7. Regularly review and adjust parameters based on recent performance ## How to Use This Strategy 1. Add the strategy to your chart 2. Configure risk parameters appropriate for your account 3. Set commission and slippage in the Properties panel 4. Enable/disable the filters based on your trading style 5. Monitor higher timeframe for overall trend direction 6. Use the strategy's signals for entry and the recommended take profit/stop loss levels 7. Consider manual intervention during extreme market events This strategy provides a systematic approach to scalping with proper risk management through DCA, making it suitable for both beginner and experienced traders in cryptocurrency markets.
Pine Script™ 전략
tringuyendc2804의
MG Universal model🚀 Summary🚀 The MG univerasal model is a composite of various items such as RSI, price Z-Score, Sharpe Ratio, Sortino Ratio, Omega Ratio, etc Each component is normalized and then equally wheighted out to perform a global metric. At the end, an Exponential Moving Average is added on the global metric. You can easily find a description of each component on the internet, for the Crosby Ratio, it's a metric that comes from bitcoinmagazinepro.com. ✨ Key Features ✨ 🗡 Smoothed Global Metric Using a Moving average to smooth out the whole aggregated metric. 🗡 Bands Zone at extreme levels Automatically displaying bands at top and bottom levels of the oscillator. 🗡 Normalizing components Each component is normalized. 🗡 DataTable Optional DataTable is available to check the score for each components and their related Z-Score. 📊 How I use it 📊 When catching up with 0 line (midline), crossing it : if it goes above 0.2: get out when it crosses 0.2 again else: get out when it crosses 0 again That's the way I use it, may be there is a better way, FAFO :) ❓ Seeing a bug or an issue ❓ Feel free to DM me if you see a component that seems badly calculated. I will be happy to fix it. ❗❗ Disclaimer ❗❗ This is a single indicator, even though it's aggregating many, do not use it as a standalone. Past performance is not indicative of future results. Always backtest, check, and align parameters before live trading.
Pine Script® 인디케이터
florentm007의
网格交易v1.0### Strategy Function Overview **Grid Trading Framework:** - Set up 11 grid buy levels evenly distributed between `maxPrice` and `minPrice`. - Fund allocation increases progressively with each lower grid level (weights 1–11), resulting in more buying at lower prices. - The grid range is controlled by the `range1` parameter (default: -10%). **Semi-Final and Final DCA (Dollar-Cost Averaging) Buys:** - A larger buy order is triggered when the price drops to the `semifinal` level (default: -12%). - The largest buy order is triggered when the price drops to the `final` level (default: -15%). **Take-Profit Mechanism:** - **Primary Take-Profit:** All holdings are sold for profit when the average entry price rises by `tp%`. - **First Order Trailing Take-Profit:** If only the first order has been executed, a dynamic trailing take-profit is set based on ATR. **Visualization Elements:** - **Grid Lines and Labels:** Show the price and quantity at each buy level. - **Price Lines:** Indicate the highest grid price, the current average entry price, and the take-profit target. - **Event Markers:** Flag for start time, 🛑 for semi-final trigger, and 🚀 for final trigger.
Pine Script™ 전략
ikoooot의
Ichimoku Signals PROBuy (green background): The green background will remain until there are 2 red candles completely under the Kijun. If the conditions change (two red candles under the Kijun), the green background is removed. Sale (red background): The red background will remain until there are 2 green candles completely on the Kijun. If the conditions change (two green candles over the Kijun), the red background is removed. Background change conditions: We use a logic that keeps the bottom until the opposite condition is met (2 red candles under the Kijun for purchase or 2 green candles on the Kijun for sale).
Pine Script® 인디케이터
rhillron의
Zacks EMAs&MAs//@version=6 indicator(title="ZzzTrader EMAs&MAs", shorttitle="Zacks_crypt0", overlay=true) // === Inputs === // ema13 ema13Source = input.source(close, "EMA13 Source") ema13Length = input.int(13, "EMA13 Length", minval=1) // ema25 ema25Source = input.source(close, "EMA25 Source") ema25Length = input.int(25, "EMA25 Length", minval=1) // ema32 ema32Source = input.source(close, "EMA32 Source") ema32Length = input.int(32, "EMA32 Length", minval=1) // ma100 ma100Source = input.source(close, "MA100 Source") ma100Length = input.int(100, "MA100 Length", minval=1) // ema200 - actually SMMA99 ema200Source = input.source(close, "EMA200 Source") ema200Length = input.int(99, "EMA200 Length", minval=1) // ma300 ma300Source = input.source(close, "MA300 Source") ma300Length = input.int(300, "MA300 Length", minval=1) // === Calculations === // Moving Averages ma100 = ta.sma(ma100Source, ma100Length) ma300 = ta.sma(ma300Source, ma300Length) ema13 = ta.ema(ema13Source, ema13Length) ema25 = ta.ema(ema25Source, ema25Length) ema32 = ta.ema(ema32Source, ema32Length) EMA200() => var float ema200 = 0.0 ema200 := na(ema200 ) ? ta.sma(ema200Source, ema200Length) : (ema200 * (ema200Length - 1) + ema200Source) / ema200Length ema200 h4ema200 = request.security(syminfo.tickerid, "240", EMA200()) // === Plotting === // Draw lines plot(series=ema13, title="EMA13", color=color.new(#6f20ee, 0), linewidth=1) plot(series=ema25, title="EMA25", color=color.new(#1384e1, 0), linewidth=1, style=plot.style_stepline) plot(series=ema32, title="EMA32", color=color.new(#ea4e2f, 0), linewidth=1, style=plot.style_circles) plot(series=ma100, title="MA100", color=color.new(#47b471, 0), linewidth=1, style=plot.style_circles) plot(series=ma300, title="MA300", color=color.new(#7f47b4, 0), linewidth=1, style=plot.style_cross) plot(series=EMA200(), title="EMA200", color=color.new(#8d8a8a, 0), linewidth=1, style=plot.style_stepline) // === Labels === // Initialize labels var label ema13_label = na var label ema25_label = na var label ema32_label = na var label ma100_label = na var label ma300_label = na var label ema200_label = na // Calculate label position (offset to the right) label_x = time + (ta.change(time) * 5) show_prices = true ema13_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(ema13)) : "" ema25_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(ema25)) : "" ema32_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(ema32)) : "" ma100_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(ma100)) : "" ma300_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(ma300)) : "" ema200_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(EMA200())) : "" h4ema200_p_str = show_prices ? " - " + str.tostring(math.round_to_mintick(h4ema200)) : "" labelpadding = " " ema13_label_txt = "EMA13" + ema13_p_str + labelpadding ema25_label_txt = "EMA25" + ema25_p_str + labelpadding ema32_label_txt = "EMA32" + ema32_p_str + labelpadding ma100_label_txt = "MA100" + ma100_p_str + labelpadding ma300_label_txt = "MA300" + ma300_p_str + labelpadding ema200_label_txt = "EMA200" + ema200_p_str + labelpadding // Delete previous labels to prevent duplicates if not na(ema13_label ) label.delete(ema13_label ) if not na(ema25_label ) label.delete(ema25_label ) if not na(ema32_label ) label.delete(ema32_label ) if not na(ma100_label ) label.delete(ma100_label ) if not na(ma300_label ) label.delete(ma300_label ) if not na(ema200_label ) label.delete(ema200_label ) // Create new labels (no background/border) ema13_label := label.new( x=label_x, y=ema13, text=ema13_label_txt, xloc=xloc.bar_time, yloc=yloc.price, textcolor=color.new(#6f20ee, 0), style=label.style_none, textalign=text.align_left ) ema25_label := label.new( x=label_x, y=ema25, text=ema25_label_txt, xloc=xloc.bar_time, yloc=yloc.price, color=color.white, textcolor=color.new(#1384e1, 0), style=label.style_none, textalign=text.align_left ) ema32_label := label.new( x=label_x, y=ema32, text=ema32_label_txt, xloc=xloc.bar_time, yloc=yloc.price, color=color.white, textcolor=color.new(#ea4e2f, 0), style=label.style_none, textalign=text.align_left ) ma100_label := label.new( x=label_x, y=ma100, text=ma100_label_txt, xloc=xloc.bar_time, yloc=yloc.price, color=color.white, textcolor=color.new(#47b471, 0), style=label.style_none, textalign=text.align_left ) ma300_label := label.new( x=label_x, y=ma300, text=ma300_label_txt, xloc=xloc.bar_time, yloc=yloc.price, color=color.white, textcolor=color.new(#7f47b4, 0), style=label.style_none, textalign=text.align_left ) ema200_label := label.new( x=label_x, y=EMA200(), text=ema200_label_txt, xloc=xloc.bar_time, yloc=yloc.price, color=color.white, textcolor=color.new(#8d8a8a, 0), style=label.style_none, textalign=text.align_left)
Pine Script® 인디케이터
zackburbidge의
1
SPY Trend-Based Buy Signals🔹 Overview This indicator identifies potential buy signals on any asset by combining MACD and Stochastic Oscillator crossovers, while using the SPY’s trend (via exponential moving averages) as a broader market filter. It helps traders stay aligned with macro momentum and avoid counter-trend entries. 🔍 How it works SPY Trend Filter (Daily Timeframe): Pulls SPY (S&P 500 ETF) data using EMAs (5, 20, 80) Categorizes SPY market trend with color codes: 🟢 Green: Strong uptrend (EMA5 > EMA20 > EMA80) 🟡 Yellow: Potential uptrend / early momentum (EMA5 < EMA20 > EMA80) 🔴 Red: Downtrend (EMA5 < EMA20 < EMA80) 🔵 Blue: Possible trend reversal or mixed trend (EMA5 > EMA20 < EMA80) Buy Signal Conditions (Combined Logic): A signal is only triggered when: - SPY trend is either yellow or blue (indicating a neutral-to-bullish or early recovery environment) -The Stochastic Oscillator's %D line is below 50, showing possible upside - A bullish MACD crossover occurs on the current symbol 🟢 Green signal: MACD crossover occurs below 0 (early reversal) 🟠 Orange signal: MACD crossover occurs above 0 (momentum continuation) 📈 Visual Output 🟢 Green label below the bar when an early reversal setup occurs 🟠 Orange label above the bar when a trend continuation signal appears ✅ Best Use Case Ideal for: Swing traders and position traders LEAPS (long-term options) traders aligning entries with SPY trend Anyone seeking clean, contextual entries filtered by market momentum ⚠️ Note: This indicator is most effective when used on fundamentally strong stocks that are sector leaders with solid earnings growth and market presence. Use technical signals as a complement to quality fundamentals. ℹ️ Clarification: The moving averages displayed on the chart (e.g., on QQQ) are for visual reference only, to help users understand the color logic of the SPY trend filter. The actual logic and signals are based on SPY’s moving averages, regardless of the charted symbol.
Pine Script® 인디케이터
Max-o-Flex의
RSI - 5UP Overview The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals. Features Customizable RSI: Adjust the RSI length and source to fit your trading style. Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30). Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis. Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts. G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold). How to Use 1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily. 2. Configure Settings: RSI Settings: RSI Length: Adjust the period for RSI calculation (default: 14). Source: Choose the price source for RSI (default: close). Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled). Smoothing: Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA"). Length: Set the period for the moving average (default: 14). BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0). 3.Interpret the Indicator: RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral. Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference. Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility. Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals: Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low. Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high. 4. Set Alerts: Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected. Notes The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy. Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise. The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type. Credits Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀
Pine Script® 인디케이터
Marrulk의
5 custom moving averages5 custom moving averages 5 custom moving averages is an original TradingView indicator that lets you plot and manage five independent moving averages on one chart—each with customizable type, period, color, and data source. Rather than a simple mash‑up of defaults, it’s designed to help you synchronize short‑, mid‑, long‑term trends and volume dynamics for better entry timing and trend confirmation. 1. Key Features & Originality Five fully independent lines (MA1–MA5), each selectable as SMA, EMA, WMA, or VWMA. Default periods of 10, 21, 50, 200, 325—but all periods are freely customizable. Default color scheme for clarity: transparent pink (10), green (21), red (50), black (200), light blue (325)—colors are also fully customizable. Synergy rationale: Ultra‑short (10) through extra‑long/volume‑weighted (325) layered together create a multi‑filter that no single MA can match. 2. Calculation Logic SMA (Simple Moving Average) (P₁ + P₂ + … + Pₙ) ÷ N EMA (Exponential Moving Average) α = 2 ÷ (N + 1) EMA_today = (Price_today – EMA_yesterday) × α + EMA_yesterday WMA (Weighted Moving Average) (P₁×N + P₂×(N–1) + … + Pₙ×1) ÷ VWMA (Volume‑Weighted MA) Σ(Pᵢ × Vᵢ) ÷ Σ(Vᵢ) for i = 1…N 3. Usage Scenarios & Examples Short‑Mid Cross Entry MA1 (10) crossing above MA2 (21) when price is above MA3 (50) signals a potential buy. Trend Confirmation Price consistently above MA3 (50) and an upward‑sloping MA4 (200) confirms a strong uptrend. Volume‑Backed Rebound Set MA5 to VWMA‑325—if price bounces on rising volume, institutional buying is likely. Combined Filter Workflow Apply the indicator Look for MA1×MA2 cross on the daily chart Check price vs. MA3/MA4 for trend alignment Confirm with MA5/VWMA volume signal 4. Parameters MA1–MA5 Type: SMA / EMA / WMA / VWMA Period 1–5: Default 10 / 21 / 50 / 200 / 325 (editable; all periods freely customizable) Source: Close, Open, High, Low, HL2, etc. Colors & Line Width: Default transparent colors (fully customizable in code)
Pine Script® 인디케이터
oratnek의
Breakout with Retest Confirmation//@version=5 indicator("Breakout with Retest Confirmation", overlay=true) // Parameters lookback = input.int(20, title="Lookback Period") retestTolerance = input.float(0.005, title="Retest Tolerance (%)") // Identify support and resistance resistance = ta.highest(high, lookback) support = ta.lowest(low, lookback) // Detect breakout bullishBreakout = close > resistance bearishBreakout = close < support // Store breakout levels var float breakoutLevel = na if (bullishBreakout) breakoutLevel := resistance if (bearishBreakout) breakoutLevel := support // Detect retest retest = false if (not na(breakoutLevel)) priceDiff = math.abs(close - breakoutLevel) retest := priceDiff / breakoutLevel <= retestTolerance // Confirm retest and signal entry entrySignal = false if (retest) if (bullishBreakout and close > breakoutLevel) entrySignal := true if (bearishBreakout and close < breakoutLevel) entrySignal := true // Plot signals plotshape(entrySignal and bullishBreakout, title="Bullish Entry", location=location.belowbar, color=color.green, style=shape.arrowup) plotshape(entrySignal and bearishBreakout, title="Bearish Entry", location=location.abovebar, color=color.red, style=shape.arrowdown)
Pine Script® 인디케이터
alwayskashyap의
Scalping strategy [EMA 9/21/200 + VWAP]This strategy works best during high-volume periods on the 1-minute and 5-minute charts. 🟢 Buy Setup: EMA 9 crosses above EMA 21 (bullish momentum) Price is above VWAP (bullish bias) Look for bullish candlestick patterns (engulfing, pin bar, etc.) Optional: Entry on a pullback to EMA 9 or 21 🔴 Sell Setup: EMA 9 crosses below EMA 21 (bearish momentum) Price is below VWAP (bearish bias) Look for bearish candlestick patterns Optional: Entry on pullback to EMA 9 or 21 📈 Exit Strategy: Take profit at predefined risk-reward Or use EMA 9 crossing back over 21 in the opposite direction Stop loss just below/above recent swing Like this indicator? Boost it ♡
Pine Script® 인디케이터
VisionaryInsights의
Umesh BC IST 3:30 AM Session Tracker + 4H Candles📌 IST 3:30 AM Session Tracker + 4H Candle Marker This indicator is designed for traders who follow Indian Standard Time (IST) and want precise session tracking and 4H candle insights. 🔧 Features: 🕒 Daily Session Start at 3:30 AM IST Automatically detects and marks the beginning of each new trading day based on 3:30 AM IST, not midnight. Displays session Open, High, and Low lines. Background shading for each session. Customizable alert when a new day starts. 🟧 4H Candle Start Markers (IST Time) Identifies every new 4-hour candle that starts at: 3:30, 7:30, 11:30, 3:30 PM, 7:30 PM, 11:30 PM IST Adds a vertical line and label ("🟧 4H") above the candle. Plots a dynamic line for the 4H candle's opening price. Includes optional alert for new 4H candles. 🔔 Alerts Included: "🕒 New IST Day Start": Triggers at 3:30 AM IST. "🟧 New 4H Candle": Triggers at each 4H candle start (IST). ✅ Best for: Intraday, swing, and institutional traders using IST-based analysis. Those wanting more accurate daily sessions and clear candle structuring.
Pine Script® 인디케이터
daksaamedia의