Mulai

Indikator-Indikator Rentang

EMA/RSI Crossover Trend StrategyThis strategy is a trend-following EMA/RSI crossover system applied on Gold (XAUUSD) – 1H timeframe, designed to capture medium-term bullish and bearish moves with clear BUY and SELL signals. 🔹 Buy Signal: Fast EMA (blue) crosses above Slow EMA (red) 🔹 Sell Signal: Fast EMA (blue) crosses below Slow EMA (red) 🔹 Trend Logic: Trades follow momentum shifts and trend continuation 🔹 Market: Gold (XAUUSD) 🔹 Timeframe: 1 Hour (Intraday / Swing) The strategy performs best during strong trending conditions and helps traders stay aligned with the dominant market direction while avoiding emotional trading decisions. 📊 Best Use: Trending markets London & New York sessions Gold volatility phases ⚠️ Note: Avoid ranging or low-volatility conditions for better accuracy.
Strategi Pine Script®
oleh QAZIFXTRADER
GaussSS_vUlt26Strategy Description GaussSS_vUlt26 is a high-precision trend-following algorithm based on John F. Ehlers' Gaussian Filtering techniques. Unlike conventional moving averages, this strategy utilizes a multi-pole architecture to significantly minimize lag while providing superior price action smoothing. Technical Foundations Gaussian Filter Engine: A robust implementation of up to 9 poles, allowing for an exceptionally clean frequency response that eliminates market noise without sacrificing reactivity. Lag Reduction Logic: Features a specialized "Reduced Lag Mode" based on phase difference and a Fast Response Mode that averages the N-pole filter with a first-order response for ultra-quick entries. Volatility-Adjusted Bands: The execution channel is generated via a Filtered True Range (FTR)—a sophisticated, smoothed version of the True Range that acts as a dynamic volatility threshold to filter out "fakeouts." Execution Logic The strategy operates on a Volatility Channel Breakout methodology: Long Entry: Triggered when the price crosses above the upper Gaussian band (hband), confirming bullish momentum. Exit / Close: Executed when the price crosses back under the upper band, securing profits as soon as trend exhaustion or mean reversion is detected. Key Parameters Poles (N): Controls the roll-off slope and smoothness (range: 1 to 9). Sampling Period: Adjusts the observation window relative to the market cycle. ATR Multiplier: Defines the width of the safety channel and sensitivity to volatility.
Strategi Pine Script®
oleh sergiosar
SuperMoney-BRION//@version=5 strategy("BTC_125x_MultiTimeframe", overlay=true) // 核心参数（手动调整） slPercent = 4.0 tpPercent = 12.0 trailSlPercent = 2.0 volMulti_30M = 1.2 // 1小时周期指标 = request.security(syminfo.tickerid, "60", [ta.ema(close,20),ta.ema(close,60),ta.rsi(close,14),ta.macd(close,12,26,9) ,ta.macd(close,12,26,9) ,ta.bb(close,20,2) ]) // 30分钟周期指标 = request.security(syminfo.tickerid, "30", [ta.ema(close,10),ta.ema(close,30),ta.macd(close,12,26,9) ,ta.rsi(close,14),ta.sma(volume,5*48)]) // 15分钟周期指标 = request.security(syminfo.tickerid, "15", [ta.ema(close,5),ta.stoch(close,high,low,9,3,3) ,ta.bb(close,20,2) ,ta.bb(close,20,2) ]) // 多周期信号 trend_1H = ta.crossover(ema20_1H, ema60_1H) and rsi14_1H > 50 trendBreak_1H = ta.crossunder(macdDIF_1H, macdDEA_1H) and close < bbLower_1H window_30M = ta.crossover(ema10_30M, ema30_30M) and macdHist_30M > 0 and rsi14_30M < 60 and volume > volAvg5d_30M * volMulti_30M entry_15M = close <= ema5_15M and close <= bbMiddle_15M and kdjJ_15M < 70 reduce_15M = close >= bbUpper_15M and kdjJ_15M > 95 // 策略执行 var float entryPrice = na if (trend_1H and window_30M and entry_15M) strategy.entry("Long", strategy.long) entryPrice := close strategy.exit("SLTP", stop=entryPrice*(1-slPercent/100), limit=entryPrice*(1+tpPercent/100)) if (not trendBreak_1H and window_30M and entry_15M and strategy.position_size > 0) strategy.entry("AddLong", strategy.long) entryPrice := (entryPrice*strategy.position_size + close*strategy.default_qty_value)/(strategy.position_size+strategy.default_qty_value) strategy.exit("AddSLTP", stop=entryPrice*(1-slPercent/100), limit=entryPrice*(1+tpPercent/100)) if (reduce_15M and strategy.position_size > 0) strategy.close("Long", qty_percent=50) if (trendBreak_1H) strategy.close_all() // 移动止损 profitPercent = (close - entryPrice)/entryPrice*100 if (profitPercent >= 5 and strategy.position_size > 0) strategy.exit("Trail", stop=close*(1-trailSlPercent/100)) // 可视化 plot(ema20_1H, color=color.blue) plot(ema60_1H, color=color.red) plotshape(trend_1H, loc=loc.belowbar, color=color.blue, text="1H趋势") plotshape(entry_15M, loc=loc.belowbar, color=color.green, text="15M下单")
Strategi Pine Script®
oleh brio21583
Nifty SuperTrend ATM Call Strategy//@version=6 strategy("Nifty SuperTrend ATM Call Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // Input parameters st1_len = input.int(10, "SuperTrend 1 Length") st1_mult = input.float(2.0, "SuperTrend 1 Multiplier") st2_len = input.int(10, "SuperTrend 2 Length") st2_mult = input.float(4.0, "SuperTrend 2 Multiplier") sl_points = input.float(30.0, "Stop Loss (Rs.)") tp_points = input.float(15.0, "Target (Rs.)") // Trading session: 9:16 AM to 3:20 PM IST (Fixed - no timezone param) session_start = input.session("0916-1520", "Trading Session") in_session = not na(time(timeframe.period, session_start)) // SuperTrend function supertrend(len, mult) => = ta.supertrend(mult, len) // Calculate both SuperTrends = supertrend(st1_len, st1_mult) = supertrend(st2_len, st2_mult) // Plot SuperTrends plot(st1, "ST 10/2", color=st1_dir == 1 ? color.green : color.red, linewidth=2) plot(st2, "ST 10/4", color=st2_dir == 1 ? color.lime : color.maroon, linewidth=1) // Green candle condition (SuperTrend 10/2) is_green_st1 = st1_dir == 1 first_green = is_green_st1 and not is_green_st1 second_green_open_above = is_green_st1 and is_green_st1 and open > open // Buy condition buy_condition = second_green_open_above and strategy.position_size == 0 and in_session // Execute trades if buy_condition strategy.entry("Call Buy", strategy.long, comment="ATM Call") // Exit conditions if strategy.position_size > 0 strategy.exit("SL/TP", "Call Buy", stop=strategy.position_avg_price - sl_points, limit=strategy.position_avg_price + tp_points, comment="SL/TP") // Visual signals plotshape(buy_condition, "Buy Signal", shape.triangleup, location.belowbar, color.green, size=size.normal) bgcolor(in_session ? color.new(color.blue, 95) : na, title="Trading Session") // Alerts alertcondition(buy_condition, "Call Buy Signal", "Buy ATM Call Option - SuperTrend (10,2) 2nd candle opened above first green candle")
Strategi Pine Script®
oleh warenabuff
SMC BOS Strategy 1:1 RRThe SMC BOS Strategy 1:1 RR is a Smart Money Concepts–based trading strategy designed to capture high-probability market continuation moves after a Break of Structure (BOS). It focuses on trading in the direction of institutional momentum with clear risk control. 📌 Core Concept Markets move in structure (higher highs & higher lows in an uptrend, lower highs & lower lows in a downtrend). A Break of Structure (BOS) occurs when price closes beyond a previous swing high or swing low, signaling that smart money may be pushing price in a new or continued direction. ⚙️ Strategy Rules 1️⃣ Market Structure Identification Swing highs and swing lows define key structure levels. These levels act as institutional decision points. 2️⃣ Break of Structure (BOS) Bullish BOS: Price closes above the previous structure high. Bearish BOS: Price closes below the previous structure low. 3️⃣ Trade Entry Buy after a bullish BOS. Sell after a bearish BOS. Entry is taken at the close of the BOS candle. 4️⃣ Risk Management (1:1 RR) Stop Loss (SL): Long trades → below previous structure low. Short trades → above previous structure high. Take Profit (TP): Set equal to the stop-loss distance (1:1 risk–reward). 📊 Why 1:1 Risk–Reward? Ensures high win-rate focus. Suitable for scalping and intraday trading. Protects capital with consistent, controlled risk. ✅ Key Advantages ✔ Clear and objective rules ✔ Institutional price-action logic (SMC) ✔ Automatic stop loss & take profit ✔ Works on Forex, Gold, Crypto, Indices ✔ Easy to backtest and optimize
Strategi Pine Script®
oleh QAZIFXTRADER
Supertrend Advanced Strategy - XabierLSupertrend Advanced Strategy - Multi-Filter System 📊 Overview This is a sophisticated trend-following strategy built around the Supertrend indicator, enhanced with multiple confirmation filters to reduce false signals and improve trade quality. The strategy is designed for USDT-M perpetual futures and is fully compatible with Bitget Webhook signals for automated trading. ✨ Key Features Core Components: Supertrend Indicator: Primary trend direction detector with customizable ATR period and multiplier Entry Confirmation System: Requires multiple consecutive candles to confirm trend direction before entry ADX Filter: Ensures trades are taken only in trending markets (filters out choppy/sideways conditions) RSI Filter: Prevents entries in extreme overbought/oversold zones Candlestick Pattern Filter: Optional bullish/bearish engulfing pattern confirmation Flexible Direction: Trade longs only, shorts only, or both directions
Strategi Pine Script®
oleh XabierL
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description ## Overview The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions. ## Key Features • **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions • **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds • **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50% • **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines • **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores ## How It Works ### Risk Components (Configurable Weights) 1. **Log Return from ATH** (Default: 35%) - Tracks drawdown from all-time high over lookback period - Deep drawdowns (-70% to -90%) = low risk / buying opportunity - Near ATH (0% to -20%) = high risk / selling opportunity 2. **ETH/BTC Ratio** (Default: 25%) - Measures ETH strength relative to Bitcoin - Below historical average = ETH undervalued = low risk - Above historical average = ETH overvalued = high risk 3. **Volatility Regime** (Default: 20%) - Compares current volatility to long-term average - Compressed volatility at lows = opportunity - Expanded volatility at highs = danger 4. **Trend Strength** (Default: 20%) - Uses multiple EMA alignment and slope analysis - Strong downtrends = low risk scores - Strong uptrends = high risk scores ### Trading Logic **Buy Signals:** - L1: Risk ≤ 0.30 → Buy $100 (default) - L2: Risk ≤ 0.20 → Buy $250 total - L3: Risk ≤ 0.10 → Buy $450 total **Sell Signals (Sequential):** - L1: Risk ≥ 0.75 → Sell 25% of position - L2: Risk ≥ 0.85 → Sell 35% of remaining - L3: Risk ≥ 0.95 → Sell 40% of remaining **Buy Filters (Optional):** - Minimum days between buys (prevents clustering) - Minimum risk drop required (ensures falling risk) - Toggle on/off to compare performance ## Settings Guide ### Risk Components Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view. ### Advanced Settings - ATH Lookback: How far back to look for all-time highs (500-2000 recommended) - Volatility Period: Window for volatility calculations (40-100 recommended) - ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended) - Trend Period: Base period for trend calculations (50-150 recommended) ### Trading Thresholds Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets. ### Buy Filters - Enable/disable filtering system - Min Days Between Buys: Spacing between purchases (1-3 recommended) - Min Risk Drop: How much risk must fall (-0.001 to -0.01 range) ## Best Practices • **Timeframe**: Works best on daily (1D) and 3-day (3D) charts • **Initial Capital**: Set based on your DCA budget (default $10,000) • **Backtest First**: Test different parameter combinations on historical data • **Position Sizing**: Adjust buy amounts to match your risk tolerance • **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict ## Use Cases - Long-term ETH accumulation strategy - Systematic DCA with market-adaptive buying - Risk-based portfolio rebalancing - Educational tool for understanding crypto market cycles ## Disclaimer This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose. ## Credits Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!! ## Version History v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Strategi Pine Script®
oleh nakphanan
2
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding. 1. Chart Setup Timeframe: 5 Minutes Bollinger Bands: Length 20, Standard Deviation 2 (Default). RSI (Relative Strength Index): Length 14. EMA (Exponential Moving Average): Length 200 (Trend Filter). 2. The Rules Long Setup (Buy) The Trend Filter: Price must be above the 200 EMA. The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down. The Trigger: A 5m candle closes strongly above the Upper Bollinger Band. Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+). Short Setup (Sell) The Trend Filter: Price must be below the 200 EMA. The Squeeze: The Bollinger Bands contract. The Trigger: A 5m candle closes strongly below the Lower Bollinger Band. Confirmation: RSI must be falling and below 50. Execution Guide Entry Technique Don't enter immediately when the candle touches the band. Wait for the candle close. Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum. Exit Strategy (Take Profit) Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R). Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands. Stop Loss Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry. Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
Strategi Pine Script®
oleh esshka
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script: ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis Overview This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions. Key Innovation: Why Alt/BTC Matters Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength: When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity) When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits) This approach captures the rotation between BTC and alts that drives crypto cycles Key Features 📊 Advanced Technical Analysis RSI (60% weight): Primary momentum indicator on weekly timeframe Long-term MA Deviation (35% weight): Measures distance from 150-period baseline MACD (5% weight): Minor confirmation signal EMA Smoothing: Filters noise while maintaining responsiveness All calculations performed on Alt/BTC pairs for superior market timing 💰 3-Tier DCA System Level 1 (Risk ≤ 70): Conservative entry, base allocation Level 2 (Risk ≤ 50): Increased allocation, strong opportunity Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation Continuous buying: Executes every bar while below threshold for true DCA behavior Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined 📈 Smart Profit Management Sequential selling: Must complete L1 before L2, L2 before L3 Percentage-based exits: Sell portions of position, not fixed amounts Auto-reset on re-entry: New buy signals reset sell progression Prevents premature full exits during volatile conditions 🤖 3Commas Automation Pre-configured JSON webhooks for Custom Signal Bots Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit Flexible quote currency: USD, USDT, or BUSD Dynamic order sizing: Automatically adjusts to your tier thresholds Full webhook documentation compliance 🎨 Multi-Asset Support Pre-configured for popular altcoins: ETH (Ethereum) SOL (Solana) ADA (Cardano) LINK (Chainlink) UNI (Uniswap) XRP (Ripple) DOGE RENDER Custom option for any other crypto How It Works Risk Metric Calculation (0-100 scale): Fetches weekly Alt/BTC price data for stability Calculates RSI, MACD, and deviation from 150-period MA Normalizes MACD to 0-100 range using 500-bar lookback Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35) Applies 5-period EMA smoothing for cleaner signals Color-Coded Risk Zones: Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC Lime/Yellow (30-70): Accumulation range - favorable risk/reward Orange (70-85): Caution zone - consider taking initial profits Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking Entry Logic: Buys execute every candle when risk is below threshold As risk decreases, position sizing automatically scales up Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate Exit Logic: Sells only trigger when in profit AND risk exceeds thresholds Sequential execution ensures partial profit-taking If new buy signal occurs before all sells complete, sell levels reset to L1 Configuration Guide Choosing Your Altcoin: Select crypto from dropdown (or use CUSTOM for unlisted coins) Pick your exchange Choose quote currency (USD, USDT, BUSD) Risk Metric Tuning: Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent RSI Length (default 10): Lower = more volatile, Higher = smoother Smoothing (default 5): Increase for less noise, decrease for faster reaction Buy Settings (Aggressive DCA Example): L1 Threshold: 70 | Amount: $5 L2 Threshold: 50 | Amount: $6 L3 Threshold: 30 | Amount: $7 Total L3 buy = $18 per candle when deeply oversold Sell Settings (Balanced Exit Example): L1: 70 threshold, 25% position L2: 85 threshold, 35% position L3: 100 threshold, 40% position (final exit) 3Commas Setup Bot Configuration: Create Custom Signal Bot in 3Commas Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT) Order size: Select "Send in webhook, quote" to use strategy's dollar amounts Copy Bot UUID and Secret Token Script Configuration: Paste credentials into 3Commas section inputs Check "Enable 3Commas Alerts" Save and apply to chart TradingView Alert: Create Alert → Condition: "alert() function calls only" Webhook URL: api.3commas.io Enable "Webhook URL" checkbox Expiration: Open-ended Strategy Advantages ✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations ✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump ✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward) ✅ Emotional Discipline: Systematic approach removes fear and FOMO ✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously ✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools Backtesting Insights Optimal Timeframes: Daily chart: Best for backtesting and signal generation Weekly data is fetched internally regardless of display timeframe Historical Performance Characteristics: Accumulates heavily during bear markets and BTC dominance periods Captures explosive altcoin rallies when BTC stagnates Sequential selling preserves capital during extended downtrends Works best on established altcoins with multi-year history Risk Considerations: Requires capital reserves for extended accumulation periods Some altcoins may never recover if fundamentals deteriorate Past correlation patterns may not predict future performance Always size positions according to personal risk tolerance Visual Interface Indicator Panel Displays: Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases Horizontal threshold lines: Dashed lines mark your buy/sell levels Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells Real-time risk value: Numerical display on price scale Customization: All threshold lines are adjustable via inputs Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum) Line weights emphasize most extreme thresholds (L3 buy and L3 sell) Strategy Philosophy This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision. The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns. Advanced Tips Multi-Bot Strategy: Run this on 5-10 different altcoins simultaneously to: Diversify correlation risk Capture whichever alt is pumping Smooth equity curve through rotation Pairing with BTC Strategy: Use alongside the BTC DCA Risk Strategy for complete portfolio coverage: BTC strategy for core holdings ALT strategies for alpha generation Rebalance between them based on BTC dominance Threshold Calibration: Check 2-3 years of historical data for your chosen alt Note where risk metric sat during major bottoms (set buy thresholds) Note where it peaked during euphoria (set sell thresholds) Adjust for your risk tolerance and holding period Credits Strategy Development & 3Commas Integration: Claude AI (Anthropic) Technical Analysis Framework: RSI, MACD, Moving Average theory Implementation: pommesUNDwurst Disclaimer This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions. Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity. Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
Strategi Pine Script®
oleh nakphanan
Sunny Quantum Momentum Framework (SQMF)Sunny Quantum Momentum Framework (SQMF) – Strategy Description The Sunny Quantum Momentum Framework is a dynamic trend-adaptive trading model designed to identify early momentum shifts and capitalize on directional price movements. The strategy blends multiple market-sensitive components to filter noise, detect emerging trends, and optimize entries with precision. SQMF works by continuously evaluating price behavior, volatility fluctuations, and short-term trend acceleration to generate actionable signals. Instead of relying on a single indicator, the framework integrates layered momentum structures and adaptive smoothing techniques to maintain signal quality across different market conditions. The system focuses on: Detecting momentum transitions with minimal lag Reducing false signals through multi-stage validation Aligning entries with broader trend conditions Managing trades dynamically using built-in risk controls SQMF is designed for traders seeking a balanced approach—fast enough to catch early movements, but stable enough to avoid common market noise. The strategy is suitable for intraday, swing, and algorithmic trading environments.
Strategi Pine Script®
oleh sapariyasunny0
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy: --- ## Options Scalper v2 - SPY/QQQ ### Overview A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries. --- ### Core Logic The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when: 1. A recent EMA crossover occurred (within the last 3 bars) 2. The direction's score meets the minimum threshold (default: 4 points) 3. The signal's score is higher than the opposite direction 4. Enough bars have passed since the last signal (cooldown period) 5. Price action occurs during valid trading sessions --- ### Indicators Used | Indicator | Purpose | CALL Condition | PUT Condition | |-----------|---------|----------------|---------------| | **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow | | **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA | | **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 | | **VWAP** | Institutional level | Price above VWAP | Price below VWAP | | **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line | | **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D | | **Volume** | Participation confirmation | Spike on green candle | Spike on red candle | | **Price Structure** | Breakout detection | Higher high formed | Lower low formed | --- ### Scoring Breakdown **CALL Score (Max 9 points):** - Recent EMA cross up: +2 pts - EMA alignment (fast > slow): +1 pt - RSI in bullish range: +1 pt - Above VWAP: +1 pt - MACD bullish: +1 pt - Volume spike on green candle: +1 pt - Stochastic setup: +1 pt - Above 200 EMA: +1 pt - Breaking higher high: +1 pt **PUT Score (Max 9 points):** - Recent EMA cross down: +2 pts - EMA alignment (fast < slow): +1 pt - RSI in bearish range: +1 pt - Below VWAP: +1 pt - MACD bearish: +1 pt - Volume spike on red candle: +1 pt - Stochastic setup: +1 pt - Below 200 EMA: +1 pt - Breaking lower low: +1 pt --- ### Risk Management The strategy uses **ATR-based dynamic stops and targets**: | Parameter | Default | Description | |-----------|---------|-------------| | Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts | | Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio | Positions are also closed on: - Opposite direction signal (flip trade) - Take profit or stop loss hit --- ### Session Filtering Trades are restricted to high-liquidity periods by default: - **Morning Session:** 9:30 AM - 11:00 AM EST - **Afternoon Session:** 2:30 PM - 3:55 PM EST This avoids choppy midday price action and captures the highest volume periods. --- ### Input Parameters | Parameter | Default | Description | |-----------|---------|-------------| | Fast EMA | 9 | Fast moving average period | | Slow EMA | 21 | Slow moving average period | | Trend EMA | 200 | Long-term trend filter | | RSI Length | 14 | RSI calculation period | | RSI Overbought | 65 | Upper RSI threshold | | RSI Oversold | 35 | Lower RSI threshold | | Volume Multiplier | 1.2x | Volume spike detection threshold | | Min Signal Strength | 4 | Minimum score required to trigger | | Crossover Lookback | 3 | Bars to consider crossover "recent" | | Min Bars Between Signals | 5 | Cooldown period between signals | --- ### Visual Elements **Chart Plots:** - Green line: 9 EMA (fast) - Red line: 21 EMA (slow) - Gray line: 200 EMA (trend) - Purple dots: VWAP **Signal Markers:** - Green triangle up + "CALL" label: Buy call signal - Red triangle down + "PUT" label: Buy put signal - Small circles: EMA crossover reference points **Info Table (Top Right):** - Real-time CALL and PUT scores - RSI, MACD, Stochastic values - VWAP and 200 EMA position - Recent crossover status - Current signal state --- ### Alerts | Alert Name | Trigger | |------------|---------| | CALL Entry | Standard call signal fires | | PUT Entry | Standard put signal fires | | Strong CALL | Call signal with score ≥ 6 | | Strong PUT | Put signal with score ≥ 6 | --- ### Recommended Usage | Setting | 0DTE Scalping | Intraday Swings | |---------|---------------|-----------------| | Timeframe | 1-2 min | 5 min | | Min Signal Strength | 5-6 | 4 | | ATR Stop Mult | 1.0 | 1.5 | | ATR TP Mult | 1.5 | 2.0 | | Option Delta | 0.40-0.50 | 0.30-0.40 | --- ### Key Improvements Over v1 1. **Requires actual crossover** - Eliminates false signals from simple trend continuation 2. **Balanced scoring** - Both directions evaluated equally, highest score wins 3. **Signal cooldown** - Prevents overtrading with minimum bar spacing 4. **Multi-indicator confluence** - 8 factors must align for signal generation 5. **Volume-candle alignment** - Volume spikes only count when matching candle direction --- ### Disclaimer This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh hakan_gul_79
W/M Pattern Strategy + MACD/RSI Confirmation V3.0 by ThaungkmitlW/M Pattern Strategy + MACD/RSI Confirmation V3.0 Description Text: This script is a comprehensive Strategy (backtestable) that combines classical Chart Patterns with momentum indicators to identify high-probability reversal setups. It focuses on detecting "W" Patterns (Double Bottoms/Higher Lows) and "M" Patterns (Double Tops/Lower Highs), filtered by MACD and RSI to reduce false signals. How It Works The strategy relies on a "Confluence" of three factors before triggering an entry: 1. Price Action Patterns (W & M) W Pattern (Bullish): The script detects Pivot Lows. If a new Pivot Low is higher than the previous one (forming a Higher Low structure), it marks a potential "W" pattern. M Pattern (Bearish): The script detects Pivot Highs. If a new Pivot High is lower than the previous one (forming a Lower High structure), it marks a potential "M" pattern. 2. MACD Confirmation (Zero Line) Price action alone is not enough. The script waits for the MACD Line to cross the Zero Line: Buy: MACD crosses UP over 0 (indicating bullish momentum shift). Sell: MACD crosses DOWN under 0 (indicating bearish momentum shift). 3. RSI Threshold To ensure the trend has strength, the RSI (Relative Strength Index) acts as a final filter: Buy Condition: RSI must be above 50. Sell Condition: RSI must be below 50. Visual Features Pivot Labels: Automatically marks Pivot High (Red Triangle) and Pivot Low (Green Triangle). Pattern Lines: Draws lines connecting the swing points when a potential W or M pattern is detected. Signals: Displays "BUY" or "SELL" labels with text explaining the setup (e.g., "W+MACD+RSI"). Background: Highlights the chart background (Green/Red) when a valid trade signal occurs. EMAs: Plots EMA 10 (Blue) and EMA 15 (Red) to help you visualize the immediate trend direction. Settings Pivot Left/Right Bars: Adjust the sensitivity of the Swing detection. MACD Settings: Fast, Slow, and Signal lengths (Standard 12, 26, 9). RSI Settings: Adjust Length and the Threshold level (Default is 50). Backtesting This is a strategy script, meaning you can use the Strategy Tester panel below the chart to see how this logic performs on historical data for your chosen timeframe and asset. Disclaimer: This tool is for educational purposes. Past performance in backtesting does not guarantee future results.
Strategi Pine Script®
oleh thaungkmitl
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics Introduction The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity. The Core Engine: MA and VWAP Crossover The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP. 1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session. 2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages. 3. The Signal: o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment. o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average. The Role of CCI and Stochastic: Analyzing Volume Momentum The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum. 1. The Calculation Instead of using close prices as the input source, the script passes volume data into both indicator functions: • Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average. • Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range. 2. The "Volume Spike" Condition The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously: • The Volume CCI must be greater than a defined threshold (default: 100). • The Volume Stochastic must be greater than a defined threshold (default: 80). 3. Integration into the Process It is critical to note how this script currently applies this "Volume Spike" logic: • Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar. • Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter. • Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise. Risk Management and Time Constraints The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan. Conclusion The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Strategi Pine Script®
oleh vlenarcic