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EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced: ⚠️ Critical Warnings 1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose. 2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging. 3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time. 4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts. 5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers. 📚 Essential Advice Mindset & Psychology • Treat trading like a business, not gambling. Have a plan for every trade. • Develop patience – Wait for high-probability setups; don’t force trades. • Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management. • Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly. Risk Management (Non-Negotiable) • Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak. • Always use stop-losses – Decide your stop-loss BEFORE entering a trade. • Never add to a losing position ("averaging down") – This is how small losses become catastrophes. • Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss. Strategy & Education • Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously. • Backtest and forward-test any strategy before using real money. • Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly. • Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies. Practical Habits • Start with a demo account – Prove you can be consistently profitable before using real money. • When moving to real money, start small – The psychology changes with real money on the line. • Set trading hours and stick to them – Avoid overtrading and burnout. • Regularly withdraw profits – Secure gains and reinforce the reality of your earnings. 🚨 Red Flags in Yourself • Chasing losses – Trying to immediately recoup a loss leads to bigger losses. • Overconfidence after wins – Leads to taking oversized, reckless trades. • Ignoring your trading plan – If you’re making exceptions, you don’t have a plan. • Blaming the market or others – You are responsible for every trade. Take ownership. 🔍 Choosing a Broker/Platform • Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.). • Understand all fees – Spreads, commissions, overnight financing, withdrawal fees. • Test customer support – You need them in a crisis. • Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good. 💡 Final Wisdom • Preservation of capital is more important than making profits. Survive to trade another day. • The market will always be there – Missing an opportunity is better than taking a bad trade. • Trading is a marathon of consistency, not a sprint for mega-returns. • If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade. Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
Wskaźnik Pine Script®
od Palpiptaste
FADE GIGA CANDLE STRAT# 🔥 FADE GIGA CANDLE STRATEGY ## Overview The **Fade Giga Candle Strategy** is a contrarian trading indicator designed to identify extreme price movements (called "Giga Candles") and predict mean reversion opportunities. This strategy is specifically optimized for Polymarket's 15-minute crypto prediction markets (BTC, ETH, SOL, XRP) but can be applied to any timeframe. **Core Concept:** When price makes an unusually large move with extreme RSI and high volume, it often reverses in the next period. This indicator detects those moments and signals to "fade" (bet against) the move. --- ## 📊 What Does It Do? ### Signal Generation - **FADE BEARISH (📉)**: Detects massive green candles → Predicts price will go DOWN next - **FADE BULLISH (📈)**: Detects massive red candles → Predicts price will go UP next ### Real-Time Stats - Win Rate tracking - Total Return calculation - Expected Value (EV) analysis - Breakeven threshold display (57.14% for 75% win / 100% loss structure) ### Visual Alerts - Chart labels showing predictions - Background highlighting on signal candles - Stats table in top-right corner - RSI indicator with overbought/oversold zones --- ## ⚙️ How It Works ### 1. Giga Candle Detection The indicator analyzes the last 500 candles and identifies "Giga Candles" based on: - **Body Size Percentile** (default 93rd): Only the top 7% largest candles qualify - **Minimum Body %** (default 0.5%): Filters out noise on small moves ### 2. Confirmation Filters Before generating a signal, the indicator checks: **RSI Filter (Optional)** - RSI must be ≥70 (overbought) OR ≤30 (oversold) - Indicates price is at an extreme level **Volume Filter (Optional)** - Current volume must be ≥1.5x the 20-period average - Confirms the move has conviction ### 3. Fade Logic ``` IF Giga Green Candle + RSI Extreme + High Volume → FADE BEARISH (predict DOWN) IF Giga Red Candle + RSI Extreme + High Volume → FADE BULLISH (predict UP) ``` --- ## 🎛️ Settings & Parameters ### Giga Candle Detection | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Giga Candle Percentile** | 93.0 | 80-99 | Top X% of candles by body size. 93 = only top 7% qualify as "giga" | | **Min Body % (Safety)** | 0.5 | 0.1-2.0 | Minimum body size as % of price. Prevents false signals on low volatility | ### RSI Filter | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Use RSI Filter** | ON | ON/OFF | Require RSI to be extreme before signaling | | **RSI Length** | 14 | 5-50 | Period for RSI calculation | | **RSI Overbought** | 70 | 60-85 | Threshold for overbought condition | | **RSI Oversold** | 30 | 15-40 | Threshold for oversold condition | ### Volume Filter | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Use Volume Filter** | ON | ON/OFF | Require high volume before signaling | | **Volume SMA Length** | 20 | 10-50 | Period for average volume calculation | | **Volume Multiplier** | 1.5 | 1.0-3.0 | Current volume must be X times the average | ### Display Options - **Show Signal Labels**: Display prediction labels on chart - **Highlight Signal Candles**: Background color on signal bars - **Show Stats Table**: Performance statistics in top-right - **Enable Alerts**: Push notifications when signals occur --- ## 🚀 How to Use ### For Polymarket Trading (Recommended) 1. **Set timeframe to 15 minutes** (matches Polymarket market duration) 2. **Apply to BTC, ETH, SOL, or XRP charts** 3. **Wait for signal:** - 📉 FADE BEARISH → Buy "DOWN" on Polymarket - 📈 FADE BULLISH → Buy "UP" on Polymarket 4. **Hold until market resolves** (15 minutes) 5. **Track your performance** using the stats table ### For Regular Trading 1. Use on any liquid crypto market 2. When signal appears, consider entering a mean-reversion trade 3. Set stop-loss at 100% of entry (built into expected value calculation) 4. Take profit at 75% gain (matches the 57.14% breakeven math) ### Understanding the Stats Table **Win Rate**: Your prediction accuracy percentage - **Target: >57.14%** (breakeven for 75% win / 100% loss structure) - Green if profitable, red if unprofitable **Expected Value (EV)**: Average % return per trade - **Positive EV** = Strategy is profitable long-term - **Negative EV** = Strategy is losing long-term - Formula: `(WinRate% × 75) - (LossRate% × 100)` **Total Return**: Cumulative % gain/loss across all signals --- ## 📈 Interpretation Guide ### Strong Signals ✅ Large giga candle (top 3-5%) ✅ RSI >75 or <25 (very extreme) ✅ Volume >2x average ✅ Signal appears after sustained trend ✅ Win rate >60% in recent trades ### Weak Signals (Consider Skipping) ⚠️ Borderline giga candle (barely above threshold) ⚠️ RSI only slightly extreme (71 or 29) ⚠️ Volume just meets minimum (1.5x) ⚠️ Signal appears during choppy/sideways market ⚠️ Win rate <50% in recent trades --- ## 💡 Pro Tips ### 1. Timeframe Matters - **15-min**: Best for Polymarket, captures intraday exhaustion - **1-hour**: Better for swing trading - **5-min**: Too noisy, not recommended ### 2. Market Context - Works best in **trending markets** that overextend - Less effective in **tight ranges** (consolidation) - Avoid during **low liquidity** hours (weekends, holidays) ### 3. Filter Tuning **More Aggressive (More Signals)** - Lower Giga Percentile (90th) - Disable RSI filter - Lower volume multiplier (1.2x) **More Conservative (Fewer, Higher Quality)** - Raise Giga Percentile (95th) - Tighter RSI thresholds (75/25) - Higher volume multiplier (2.0x) ### 4. Bankroll Management - **Never bet >5% of capital** on a single signal - Maintain 20+ bet bankroll minimum - Use Kelly Criterion: `Bet% = (WinRate - LossRate) / 2` - Example: 60% win rate → Bet ~10% of bankroll ### 5. Track Your Performance - Monitor the stats table actively - If win rate drops below 55% for 20+ trades, **stop trading** - If EV goes negative, **reassess filters or market conditions** - Keep a trading journal outside the indicator --- ## ⚠️ Risk Disclosure ### Important Warnings 1. **Past performance ≠ future results**: Backtested win rates may not hold in live trading 2. **Market conditions change**: Strategy may stop working if market dynamics shift 3. **Gambler's ruin risk**: Even profitable strategies can lose multiple trades in a row 4. **Polymarket specific**: - Carries smart contract risk - Subject to liquidity constraints - Markets can resolve unexpectedly 5. **Not financial advice**: This is an educational tool, not a recommendation to trade ### Best Practices - Start with **small position sizes** to test - Track at least **50 signals** before evaluating performance - Consider **paper trading** first (simulated trades) - Never trade with money you can't afford to lose - Understand the **57.14% breakeven** requirement --- ## 🔧 Troubleshooting ### "No signals appearing" - Check if filters are too strict (try disabling RSI/Volume filters temporarily) - Reduce Giga Percentile to 90th - Ensure sufficient chart history loaded (>500 candles) ### "Too many signals" - Increase Giga Percentile to 95th - Enable both RSI and Volume filters - Raise volume multiplier to 2.0x ### "Win rate seems low" - Check if you're trading during low liquidity periods - Verify you're using 15-min timeframe for Polymarket - Consider market is in tight consolidation (strategy works best in trends) --- ## 📚 Technical Details ### Calculations - **Body Size**: `|close - open|` - **Body %**: `(bodySize / open) × 100` - **Giga Threshold**: `percentile_nearest_rank(last 500 candles, 93rd)` - **RSI**: Standard 14-period RSI - **Volume Ratio**: `current_volume / SMA(volume, 20)` ### Performance Tracking - Checks if previous signal was correct after 1 bar - Win = +75% to total return - Loss = -100% to total return - Win Rate = `(correct_predictions / total_signals) × 100` --- ## 🎯 Ideal Use Cases ### ✅ Perfect For: - Polymarket 15-minute crypto prediction markets - Mean-reversion trading on liquid crypto pairs - Contrarian traders who fade extremes - Systematic traders who follow rules-based signals ### ❌ Not Ideal For: - Trend-following strategies (this is contrarian) - Low volatility assets (needs large moves) - Illiquid markets (won't have "giga" candles) - Sub-5-minute scalping (too much noise) --- ## 📞 Support & Updates **Version**: 6.0 **Last Updated**: January 2025 **Compatible With**: TradingView Pine Script v6 ### Feedback Welcome If you find this indicator useful or have suggestions for improvement, please: - ⭐ Leave a rating - 💬 Comment with your results - 🚀 Share your settings for different markets **Good luck, and trade responsibly!** 🎯 --- ## Quick Start Checklist - Set timeframe to 15 minutes - Load BTC, ETH, SOL, or XRP chart - Verify stats table shows in top-right - Enable alerts for signal notifications - Start with paper trading to validate - Track at least 20 signals before going live - Never bet more than 5% of bankroll per trade - Monitor win rate and stop if <55% **Remember: The goal is >57.14% win rate for profitability!**
Wskaźnik Pine Script®
od Aigentswarmtrade
FX Momentum Breakout Detector# FX Momentum Breakout Strategy A TradingView Pine Script indicator that detects momentum breakouts in forex pairs and automatically executes trades via SignalStack integration. The strategy uses EMA crossovers, swing structure breaks, and Fibonacci retracement levels for entry, stop loss, and take profit placement. ## Overview This strategy identifies bullish and bearish momentum breakouts by combining: - **EMA (Exponential Moving Average)** for trend direction - **Swing High/Low** structure breaks for entry signals - **Fibonacci retracement levels** for stop loss and take profit - **Volume and time filters** to improve signal quality - **Dynamic position sizing** based on Fibonacci stop distance and risk percentage ### Key Features - ✅ **Automated Order Execution**: Direct integration with SignalStack for hands-free trading - ✅ **Risk-Based Position Sizing**: Automatically calculates lot size based on stop distance and account risk - ✅ **Fibonacci-Based TP/SL**: Uses Fibonacci 0.5 levels for take profit and stop loss - ✅ **Time Window Filter**: Only trades during active market hours (7AM-7PM Japan Time) - ✅ **Volume Filter**: Requires volume above 10-day moving average - ✅ **Single Alert System**: One alert handles both long and short signals ## Strategy Logic ### Entry Conditions **Long (Buy) Signal:** - Price crosses above EMA 20, OR - Price breaks above swing high structure - AND: Minimum 3 consecutive bull bars (strong momentum) - AND: Price is above EMA 20 (if EMA filter enabled) - AND: Volume is above 10-day MA - AND: Time is within 7AM-7PM JST window **Short (Sell) Signal:** - Price crosses below EMA 20, OR - Price breaks below swing low structure - AND: Minimum 3 consecutive bear bars (strong momentum) - AND: Price is below EMA 20 (if EMA filter enabled) - AND: Volume is above 10-day MA - AND: Time is within 7AM-7PM JST window ### Stop Loss & Take Profit - **Long Positions:** - Take Profit: Fibonacci 0.5 level above entry (`fib_up_0_5`) - Stop Loss: Fibonacci 0.5 level below entry (`fib_dn_0_5`) - **Short Positions:** - Take Profit: Fibonacci 0.5 level below entry (`fib_dn_0_5`) - Stop Loss: Fibonacci 0.5 level above entry (`fib_up_0_5`) ### Position Sizing Position size is calculated dynamically based on: 1. **Account Balance**: Your account size in USD (default: $125,000) 2. **Risk Percentage**: Risk per trade (default: 1.0%) 3. **Stop Loss Distance**: Distance from entry to Fibonacci stop level (in pips) **Formula:** ``` Risk in Dollars = Account Balance × (Risk % / 100) Stop Loss (pips) = |Entry Price - Stop Loss Price| / Pip Size Position Size (lots) = Risk $ / (Stop Loss (pips) × $10 per pip per lot) ``` The strategy rounds to 0.01 lot increments (micro lots) for precise position sizing. ## Setup Instructions ### Prerequisites 1. **TradingView Account**: Pro plan or higher (required for webhook alerts) 2. **SignalStack Account**: Active account with connected broker (e.g., OANDA) 3. **SignalStack Webhook URL**: Get this from your SignalStack dashboard ### Step 1: Add Strategy to TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" (bottom panel) 3. Copy the code from `v2.0_fx_breakout_strategy.md` 4. Paste into Pine Editor 5. Click "Save" and then "Add to Chart" ### Step 2: Configure Strategy Inputs In the strategy settings panel, configure: **Technical Parameters:** - **EMA Length**: Default 20 (trend filter) - **Swing High/Low Lookback**: Default 7 bars - **Min Consecutive Bull/Bear Bars**: Default 3 (momentum requirement) - **Require EMA Filter**: Default `true` (price must be on correct side of EMA) **Risk Management:** - **Account Balance (USD)**: Your account size (default: 125,000) - **Risk Per Trade (%)**: Risk percentage per trade (default: 1.0%) - **ATR Length**: Default 14 (for informational ATR display) **Filters:** - **Volume MA Length**: Default 10 (volume filter period) - **Enable Webhook Alerts**: Set to `true` for automated trading - **Alert Frequency**: `once_per_bar_close` (recommended) - **Asset Label**: Leave empty to use chart symbol, or override if needed ### Step 3: Create TradingView Alert 1. Click the "Alerts" icon (bell) at the top of the chart, or press `Alt+A` (Windows) / `Option+A` (Mac) 2. Click "Create Alert" or the "+" button 3. Select the chart with your strategy **Alert Configuration:** **Condition Tab:** - **Condition**: Select "FX Momentum Breakout Detector" (your strategy name) - **Trigger**: "Once Per Bar Close" (matches strategy setting) - **Expiration**: Set as needed (or leave unlimited) **Notifications Tab:** - **Webhook URL**: Paste your SignalStack webhook URL - **Message**: Leave as default (strategy generates JSON automatically) 4. Save the alert with a descriptive name (e.g., "EURUSD Breakout SignalStack") ### Step 4: Verify SignalStack Connection 1. Check your SignalStack dashboard for incoming webhooks 2. Verify the broker connection is active 3. Test with a paper trading account first For detailed SignalStack setup, see (./SIGNALSTACK_SETUP.md). ## Webhook Payload Format The strategy sends a JSON payload in SignalStack format. Primary fields: ```json { "symbol": "EURUSD", "action": "buy", "quantity": 2.78, "take_profit": 1.0895, "stop_loss": 1.0805, "ticker": "EURUSD", "ticker_id": "OANDA:EURUSD", "base": "EUR", "quote": "USD", "timeframe": "15", "price": 1.0850, "ema20": 1.0820, "range": 0.0050, "breakout_price": 1.0850, "fib_up_0_5": 1.0895, "fib_dn_0_5": 1.0805, "atr_pips": 25.0, "stop_loss_pips": 45.0, "position_size_lots": 2.78, "risk_dollars": 1250.0, "signal": "bullish momentum breakout", "bar_time": "2024-01-15T10:30:00" } ``` **SignalStack Required Fields:** - `symbol`: Trading symbol - `action`: "buy" or "sell" - `quantity`: Position size in lots - `take_profit`: Take profit price - `stop_loss`: Stop loss price ## Testing Use the included test script to verify webhook integration: ```bash # Test both Discord and SignalStack python test_webhook.py # Test Discord only python test_webhook.py --discord # Test SignalStack only python test_webhook.py --signalstack ``` The test script sends sample payloads matching the strategy format and verifies webhook delivery. ## Configuration Examples ### Conservative Setup (Lower Risk) - Account Balance: 125,000 USD - Risk Per Trade: 0.5% - EMA Length: 20 - Min Bull/Bear Bars: 4 - Require EMA Filter: `true` ### Aggressive Setup (Higher Risk) - Account Balance: 125,000 USD - Risk Per Trade: 2.0% - EMA Length: 15 - Min Bull/Bear Bars: 2 - Require EMA Filter: `false` ### Multiple Currency Pairs To trade multiple pairs: 1. Add the strategy to each chart 2. Create a separate alert for each pair 3. Use the same SignalStack webhook URL for all alerts 4. SignalStack routes orders based on the `symbol` field ## Time Window Filter The strategy only trades during **7AM-7PM Japan Time (JST)**, which corresponds to: - **UTC**: 22:00 (previous day) to 10:00 (same day) - This covers the Asian and early European trading sessions To modify the time window, edit the `timeWindowFilter` calculation in the strategy code. ## Position Sizing Examples ### Example 1: EURUSD Long - Account Balance: $125,000 - Risk: 1.0% = $1,250 - Entry Price: 1.0850 - Stop Loss (fib_dn_0_5): 1.0805 - Stop Distance: 45 pips - Position Size: $1,250 / (45 pips × $10) = **2.78 lots** ### Example 2: GBPUSD Short - Account Balance: $125,000 - Risk: 1.0% = $1,250 - Entry Price: 1.2650 - Stop Loss (fib_up_0_5): 1.2700 - Stop Distance: 50 pips - Position Size: $1,250 / (50 pips × $10) = **2.50 lots** ## Troubleshooting ### Alert Not Triggering 1. **Check Strategy Settings:** - Ensure "Enable Webhook Alerts" is `true` - Verify time window (7AM-7PM JST) - Check volume filter (must be above 10-day MA) 2. **Check Alert Settings:** - Verify webhook URL is correct - Ensure alert is active (not expired) - Check alert frequency matches strategy setting ### Webhook Not Received by SignalStack 1. **Verify URL:** - Check SignalStack dashboard for correct webhook URL - Ensure URL is complete (no truncation) 2. **Check Payload Format:** - SignalStack expects `symbol`, `action`, `quantity`, `take_profit`, `stop_loss` - Verify these fields are present in the payload 3. **Test Webhook:** - Use TradingView's "Test Alert" feature - Check SignalStack logs for incoming requests - Run `test_webhook.py` to verify format ### OANDA Authentication Error If you receive a 401 Unauthorized error: 1. **Check OANDA API Token Permissions:** - Log in to OANDA - Go to "My Account" > "My Services" > "Manage API Access" - Ensure token has **Trading** permissions (not just read-only) 2. **Update SignalStack Configuration:** - Go to SignalStack dashboard - Navigate to OANDA broker connection settings - Update API token with a token that has trading permissions - Verify account ID matches your OANDA account For detailed troubleshooting, see (./SIGNALSTACK_SETUP.md). ### Position Size Issues 1. **Check Account Balance Input:** - Verify account balance matches your actual account size - Ensure risk percentage is appropriate (1% recommended) 2. **Verify Stop Loss Calculation:** - Stop loss is based on Fibonacci 0.5 level - Position size automatically adjusts to maintain risk percentage - Check that pip size is correct for your currency pair ## Files - **v2.0_fx_breakout_strategy.md**: Pine Script strategy code - **test_webhook.py**: Python test script for webhook validation - **SIGNALSTACK_SETUP.md**: Detailed SignalStack configuration guide - **design.md**: Strategy design notes and considerations ## Risk Disclaimer ⚠️ **Trading forex involves substantial risk of loss. This strategy is provided for educational purposes only.** - Always test with paper trading before using real funds - Past performance does not guarantee future results - Use appropriate risk management (1-2% risk per trade recommended) - Monitor positions and adjust stop losses as needed - This strategy does not guarantee profits ## Support - **SignalStack Documentation**: Check SignalStack's official docs for webhook requirements - **TradingView Support**: For alert/webhook issues in TradingView - **Strategy Issues**: Review the strategy code comments for configuration options ## License This strategy is provided as-is for personal use. Modify and adapt as needed for your trading requirements.
Wskaźnik Pine Script®
od kevin_stoll
ORB Breakout Strategy with VWAP and Volume FiltersOverview This strategy implements the classic Opening Range Breakout (ORB) methodology, a well-documented approach in trading literature that has been used by institutional and retail traders for decades. The strategy identifies the high and low of the first 15 minutes of the trading session, then trades breakouts with defined risk management. This implementation includes multiple customizable filters (VWAP, Volume, Candle Strength) that traders can enable, disable, and tune to find configurations that work for their specific markets and trading style. How It Works Opening Range Calculation The strategy captures the high and low of the first N bars after the session open (default: 3 bars on a 5-minute chart = 15 minutes). These levels become the breakout triggers for the session. Entry Logic Long Entry: When a bar closes above the ORB High and all enabled filters pass Short Entry: When a bar closes below the ORB Low and all enabled filters pass Exit Logic Take Profit: Configurable multiple of the ORB range (default: 1x = full range beyond breakout level) Stop Loss: Opposite side of the ORB range Breakeven: Optional stop adjustment to entry price when trade reaches configurable profit threshold Session Close: All positions automatically closed at end of trading session Configurable Filters All filters can be independently enabled or disabled: 1. VWAP Filter Requires price above/below session-anchored VWAP Requires VWAP slope confirmation (configurable lookback and minimum slope) Purpose: Align trades with intraday trend direction 2. Volume Filter Requires minimum volume on the breakout bar Purpose: Confirm institutional participation in the breakout 3. Candle Strength Filter Requires close in upper/lower portion of the bar range Purpose: Filter out weak breakouts with poor conviction Strategy Properties Initial Capital - $50.000USD Position Size - 1 contract (fixed) Commission - $4.00 per contract Slippage - 2 ticks Margin - 1% Pyramiding - Disabled Backtest Results (NQ) Recent Performance (Jan 2025 - Jan 2026) Total Trades - 243 Win Rate - 39.09% Profit Factor - 1.03 Net P&L - $3,581 (+7.16%) Max Drawdown - $25,447 (39.96%) Long-Term Performance (2010 - 2026) Total Trades - 1699 Win Rate - 37.61% Profit Factor - 0.756 Net P&L - ($49,632) (-99.26%) Max Drawdown - $50,262 (99.27%) Important: Long-term results show negative expectancy with default settings. This strategy is published as a research framework, not a ready-to-trade system. Users are encouraged to experiment with different configurations to find their edge. Settings Guide Main Settings ORB Bars: Number of bars for opening range (3 = 15 min on 5-min chart) Trading Session: Time window for trading (e.g., 0930-1200 for morning only) Timezone: Your market's timezone Take Profit: Multiple of ORB range for target Breakeven Trigger: Distance to move stop to entry Max Trades Per Day: Daily trade limit VWAP Filter Use VWAP Filter: Enable/disable VWAP Slope Lookback: Bars to measure VWAP direction Min VWAP Slope: Minimum slope threshold Volume Filter Use Volume Filter: Enable/disable Min Breakout Volume: Minimum contracts required Candle Strength Filter Use Candle Strength Filter: Enable/disable Min Candle Strength: Required close position (0.7 = top/bottom 30%) Research Suggestions This strategy provides a foundation for exploring ORB-based approaches. Consider testing: Different ORB periods: 5, 10, 15, or 30 minutes Session variations: Morning only (0930-1200), afternoon, or full day Direction bias: Long-only or short-only based on daily trend Filter combinations: Different mixes of VWAP, volume, and candle filters Take profit ratios: 0.5x, 1x, 1.5x, or 2x ORB range Market regimes: Performance may vary in trending vs ranging markets Different instruments: Test on ES, NQ, MNQ, or other futures Visual Elements Orange Background: ORB forming period Green Background: Active trading session Green Line: ORB High level Red Line: ORB Low level VWAP Line: Green = upslope, Red = downslope, Gray = flat White Line: Trade entry price Lime Line: Take profit level Red Line: Stop loss level Orange Line: Breakeven trigger level Blue Background: Breakeven activated Triangles: Entry signals (only appear when trade executes) Limitations Negative long-term expectancy: Default settings do not produce profitable results over extended periods Parameter sensitivity: Results highly dependent on filter settings and market conditions Market regime dependent: May perform differently in trending vs choppy markets Commission impact: Frequent trading accumulates significant transaction costs Curve fitting risk: Optimized settings may not persist in future markets Disclaimer This strategy is provided for educational and research purposes only. It does not constitute financial advice. Past performance does not guarantee future results Backtested results may not reflect actual trading conditions The long-term backtest shows significant negative returns Always paper trade before risking real capital Never risk more than you can afford to lose Conduct your own research and due diligence This is a research framework designed for traders to explore and customize, not a plug-and-play trading system.
Strategia Pine Script®
od luiscaballero
2
Gridbot Ping Pong🏓 Gridbot Ping Pong is a dynamic grid bot indicator that generates buy and sell signals as price oscillates between automatically calculated support and resistance levels. The grid adapts to trending markets through adjustable tilt and anchor parameters, which control the grid slope and shift resistance respectively. Entry signals trigger when price touches grid levels, while take profit and stop signals manage position exits. Unlike traditional grid bots that require horizontal ranges, this indicator maintains its oscillation zone as price trends by tilting and shifting the grid structure to follow momentum. The grid bot approach aims to accumulate gains through frequent touches across multiple grid levels rather than seeking large directional moves. Like a ping pong ball in motion, price oscillates between grid levels — each touch generates a signal. ⚡ THEORY & CONCEPTS ⚡ Grid trading is a systematic approach that places buy and sell orders at predetermined price intervals, creating a grid of orders above and below a set price level. In ranging markets, this method capitalizes on natural price oscillations by buying at lower grid levels and selling at higher ones. Each completed round trip between levels represents a captured opportunity, and the frequency of these oscillations determines the grid's effectiveness. Traditional grid bots excel when price remains within the defined range, methodically accumulating gains as price bounces between levels. However, traditional grid structures face significant challenges when markets begin to trend. Fixed horizontal levels that performed well during consolidation become liabilities during directional moves. An uptrend leaves buy orders unfilled while sell orders trigger prematurely, and a downtrend creates the opposite problem. Extended trends can result in accumulated positions at increasingly unfavorable prices, with no mechanism to adapt to the new market reality. The static nature of traditional grids assumes markets will return to the mean, yet sustained breakouts regularly invalidate this assumption. Gridbot Ping Pong addresses these limitations through dynamic grid adaptation. The tilt parameter angles the grid in the direction of the prevailing trend, aligning support and resistance levels with market momentum rather than fighting against it. The anchor parameter creates buffer zones beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a grid shift. When price breaks through these buffers, the entire grid recenters to the new price level. This combination of tilting grids and controlled shifting allows the indicator to maintain grid trading mechanics while acknowledging that markets trend. The grid adapts through a downtrend and early reversal. Entry signals (▲▼), take profit signals (△▽), and grid shifts demonstrate the ping pong sequence as price oscillates between levels. The grid structure consists of five levels: two potential support levels below, a center base price, and two potential resistance levels above. These levels are calculated as percentage intervals from a dynamic base price, with the spacing parameter determining the distance between each level. Trend direction is derived from consecutive grid shifts, where multiple shifts in the same direction confirm momentum. The grid restricts entries to the trend direction — buy signals in uptrends, sell signals in downtrends — while counter-trend signals convert to exits when appropriate. Full market cycle demonstrating grid adaptation through rally, reversal, decline, and recovery. Buy signals dominate during uptrends, sell signals during downtrends, with take profits at boundaries throughout. Two stop signals mark the trend reversals. Tilt The tilt mechanic introduces slope to the grid structure based on trend direction and momentum. When consecutive shifts occur in the same direction, the tilt increases, creating a steeper grid that tracks with the trend. As the trend progresses, support levels rise with it — buy signals trigger on pullbacks to these rising levels rather than static levels abandoned by price. Similarly, resistance levels fall during downtrends, keeping sell signals relevant to current price action. If the trend reverses and shifts occur in the opposite direction, the tilt resets and begins building in the new direction. The tilt strength parameter controls how aggressively the grid slopes, with higher values producing steeper angles. Negative tilt values invert this relationship, angling the grid against the prevailing momentum rather than with it. This counter-trend configuration positions support levels lower during uptrends and resistance levels higher during downtrends, favoring mean reversion entries that anticipate pullbacks rather than continuation. Negative tilt applied during an uptrend. Despite the bullish price action from late November through December, the grids slope downward, positioning buy signals at deeper support levels. Take profit signals appear at resistance as price reaches the upper grid boundaries before pulling back. The counter-trend configuration captures oscillations within the rising market rather than chasing momentum. Anchor The anchor mechanic provides resistance to grid shifting. Buffer zones extend beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a shift. Higher anchor values create larger buffers, requiring more significant price movement. As consecutive shifts confirm a trend, the pro-trend buffer shrinks, allowing the grid to follow momentum with increasing ease. This lets the indicator commit to established trends while resisting premature shifts during consolidations. Tilt and anchor work in complementary tension: tilt rewards momentum by angling the grid, while anchor resists excessive shifting by requiring price conviction to recenter. When price breaks through these buffers, the entire grid recenters to the new price level and play continues on a fresh table. Steady uptrend with minimal tilt. The flat grid segments demonstrate that shifting alone keeps the grid aligned with price action. Buy signals (▲) and take profit signals (▽) alternate as price bounces between levels, accumulating gains through repetition across the entire move. Sustained uptrend from June through September. The grid follows the trend with increasing ease as consecutive shifts reduce the pro-trend buffer. The October consolidation eventually triggers a downward shift and stop signal, but the system adapts to the renewed uptrend in November with fresh entry signals. Signal Generation The indicator generates three signal types. Entry signals (▲▼) trigger when price reaches a grid level in the direction of the trend, initiating a new position. Take profit signals (△▽) trigger when price reaches a grid level against the trend direction while a position is held, capturing gains as the rally continues. Stop signals (⦿) trigger when a grid shift occurs while holding a position adverse to the new shift direction. The ball goes off the table. Trend reversal from bearish to bullish. The grid follows the downtrend through November with consecutive sell signals. A stop signal (⦿) triggers at the bottom as the grid shifts adversely against the held position. The system resets and adapts to the emerging uptrend in December, generating fresh buy signals as the new direction establishes. Trigger Options The signal trigger determines what price data the indicator uses to detect grid touches, balancing responsiveness against confirmation. Auto : The default setting, using wick-based detection for pro-trend signals and close-based detection for counter-trend signals. This balances responsiveness when entering with the trend against confirmation when signaling against it. Wick Touch : Generates signals in real-time when the high or low touches a grid level, providing the fastest response to price interaction. Wick Reverse : Requires the wick to cross through the grid level from the previous bar, confirming the touch before signaling. SWMA : Uses a Symmetrically Weighted Moving Average as the trigger source, generating signals only when the smoothed price crosses grid levels. Close : Uses the bar's closing price as the trigger source, providing confirmed signals after each bar completes. Symmetrically Weighted Moving Average (SWMA) trigger during a trend reversal. The smoothed price line filters intrabar noise, generating signals only when the SWMA crosses grid levels rather than reacting to wick touches. The grid follows the downtrend through November, resets at the bottom, and adapts to the emerging uptrend in December. Signal Safeguards The indicator includes built-in protections to reduce overtrading and mitigate risk, keeping the ball in play longer: Boundary Protection : New entries are blocked at the outermost grid levels where breakout risk is highest. Exits remain permitted at these boundaries. Signal Spacing : Signals maintain one-level separation from the most recent signal, preventing clusters of entries at similar prices. Trend Alignment : When conflicting conditions arise, signals align with the prevailing trend direction rather than fighting momentum. Automatic Profit Taking : Counter-trend interactions convert to take profit signals when a position is held, capturing gains rather than reversing exposure. Adverse Shift Stops : When the grid shifts against a held position, a stop signal triggers to exit before further adverse movement. Cautious Breakout Entries : On the first shift in a new direction, entries are restricted to favorable grid levels until the trend confirms through consecutive shifts. Shift Resistance : Counter-trend shifts always require full buffer conviction, while pro-trend shifts become easier only after the trend is confirmed. 🛠️ CONFIGURATION & SETTINGS 🛠️ Core Parameters SPACING (%) : Sets the percentage distance between grid levels. Higher values create wider grids with more room between signals, lower values create tighter grids with more frequent signal opportunities. TRIGGER : Selects the price source for signal detection. See Trigger Options above. TILT : Controls the grid slope factor in the trend direction. ANCHOR : Controls resistance to grid shifting. Visual Settings GRIDS : Sets the colors for support (lower) and resistance (upper) grid levels. FILL : Sets the gradient fill colors between the price line and outer grid boundaries. SWMA : Sets the color of the Symmetrically Weighted Moving Average line. 🏓 PLAYING GRIDBOT PING PONG 🏓 ⚪The objective is not to predict where price will go, but to be present at each level when it arrives. ⚪Each touch at a boundary counts. Gains accumulate through repetition, not single swings. ⚪The rally continues until it doesn't. When the ball goes off the table, the game resets. ⚪The grid creates boundaries where price bounces back and forth. The table is set — the ball does the work. ⚪Price oscillates between defined levels. The grid is the table. Everything else is just ping pong. Tennis is a form of ping pong. In fact, tennis is ping pong played while standing on the table. In fact, all racquet games are nothing but derivatives of ping pong. — George Carlin ⚠️ DISCLAIMER ⚠️ The Gridbot Ping Pong indicator is a visual analysis tool designed to illustrate grid trading concepts and serve as a framework for understanding grid bot mechanics. While the indicator generates entry, exit, and stop signals, no guarantee is made regarding the profitability of these signals. Like all technical indicators, the grid levels and signals generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these signals are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. 🧠 BEYOND THE CODE 🧠 Gridbot Ping Pong is part of the Grid Bot Series, building on the concepts introduced in the Grid Bot Simulator , Grid Bot Auto , and Grid Bot Parabolic indicators. While those tools established the foundation for grid-based analysis, this indicator introduces dynamic tilt and anchor mechanics that adapt to trending market conditions. This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals. The Gridbot Ping Pong indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
Wskaźnik Pine Script®
od xxattaxx
5
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value 📘 Overview These are the current optimal values for DOGE. They are intended for use on the 2‑hour timeframe. This script requires complex configuration, but there is an optimal set of values somewhere. Here, I’m sharing the settings that I personally use at the moment. Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate. With Take Profit on, you can adjust the settings by increasing the values. I have been trading using Dow Theory for many years. Trading with Dow Theory and EMA has been my main strategy. Although it has been profitable, I have long struggled with its low win rate. The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that. In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain. Additionally, when the trend weakens, half of the position is closed. In all scenarios, the remaining position is held until the trend reverses. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 DOGEの現在の最適値です。 2時間足での使用を想定しています。 このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。 今回は現在私が個人的に使っている設定値の公開です。 Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。 ONにした状態で数値を上げることによって調整することが可能です。 私はダウ理論を使ったトレードを長年続けてきました。 ダウ理論とEMAを使ったトレードが私の主力です。 しかし利益は出るものの、長年その勝率の低さに悩んでいました。 問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。 V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。 それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Strategia Pine Script®
od mm_mitsuya
3
Fibonacci 5 Candles Retracement ================================================================================ FIBONACCI 5 CANDLES RETRACEMENT - STRATEGY GUIDE ================================================================================ WHAT DOES THIS STRATEGY DO? --------------------------- This strategy automatically identifies market trends and uses Fibonacci retracements to find the best entry points. The idea is simple: when price makes a strong movement (trend), it often pulls back before continuing in the same direction. The strategy captures these "pullbacks" to enter at the right moment. HOW IT WORKS? ------------- 1. TREND DETECTION The strategy looks for 5 consecutive candles of the same color: - 5 red candles = BEARISH trend (price falls) - 5 green candles = BULLISH trend (price rises) 2. CALCULATION OF START AND END POINTS For a BEARISH trend (5 red candles): - START: The highest point between the first red candle and the previous one - END: The lowest point reached during the 5 candles (and beyond, if the trend continues) For a BULLISH trend (5 green candles): - START: The lowest point between the first green candle and the previous one - END: The highest point reached during the 5 candles (and beyond, if the trend continues) 3. DYNAMIC UPDATE The END point updates automatically if price continues to move in the direction of the trend, creating new highs (for bullish trends) or new lows (for bearish trends). 4. TREND END Normal Mode: - BEARISH trend ends when a candle closes above the previous candle's open - BULLISH trend ends when a candle closes below the previous candle's open "Extended Trend" mode (optional): - The trend remains active until a candle closes beyond the dynamic 50% retracement level - When this happens, the END point "freezes" (stops updating), but the trend can continue 5. FIBONACCI RETRACEMENT CALCULATION Once START and END are identified, the strategy automatically calculates Fibonacci levels. IMPORTANT: for retracements and pending orders, we consider START as 100% and END as 0%, because we work on the part of the trend that is recovered (the pullback). The retracement levels are: - 70% = level closest to START (smallest retracement) - 60% = second level - 50% = central level (often used for entry) - 25% = level closest to END (largest retracement) 6. PENDING ORDER PLACEMENT When a trend is identified and completed, the strategy automatically places a pending order (limit order) at one of the selectable Fibonacci levels. Available levels: - 25%: closest to END - 50%: central level (balanced) - 60%: closest to START - 70%: very close to START The order direction depends on the trend: - BEARISH trend → SHORT order (bet that price falls) - BULLISH trend → LONG order (bet that price rises) Stop Loss and Take Profit (for retracements): - Stop Loss: always at START level - Take Profit: always at END level EXTENDED TAKE PROFIT: If the order is executed (filled), the strategy can apply an "Extended Take Profit" if configured. IMPORTANT: for the extended TP calculation, we consider START as 0% and END as 100% (the original trend movement). For example, if you set 3%, the Take Profit will be at 103% of the original trend movement instead of 100%. AVAILABLE FILTERS ----------------- 1. MINIMUM TREND (pips) Filters trends that are too small. If a trend is below the set value: - START and END labels become gray (instead of red/green) - No pending order is placed - The trend is still displayed on the chart Useful for avoiding trading movements that are too small. 2. EMA FILTER Uses two moving averages (EMA 50 and EMA 200) to filter direction: - If active: places LONG orders only when EMA50 > EMA200 (uptrend) - If active: places SHORT orders only when EMA50 < EMA200 (downtrend) Useful for trading only in the direction of the main trend. 3. EXTENDED TREND Modifies how the trend is considered "completed": - If disabled: uses normal logic (opposite candle) - If active: the trend remains in formation until a candle closes beyond the dynamic 50%. When this happens, END freezes but the trend can continue. Useful for capturing longer trends and extended movements. VISUALIZATION ------------- The strategy displays on the chart: 1. START AND END LABELS - Red color for bearish trends - Green color for bullish trends - Gray color if the trend is not valid (too small) - Remain visible even when new trends form 2. START AND END LINES - Horizontal lines indicating the start (START) and end (END) points of the trend - White color by default, customizable from the settings panel - Update dynamically when the END point changes - Can be shown or hidden via the "Show Start/End Lines" option 3. FIBONACCI LINES The strategy shows horizontal lines at retracement levels: - Line at 50% (yellow by default) - Line at 25% (green by default) - Line at 60% (azure by default) - Line at 70% (red by default) COLOR CUSTOMIZATION: All line colors can be customized from the settings panel in the "LINE COLORS" section: - Start/End Line Color: customize the color of START and END lines - 50% Line Color: customize the color of the 50% line - 25% Line Color: customize the color of the 25% line - 60% Line Color: customize the color of the 60% line - 70% Line Color: customize the color of the 70% line Lines update dynamically when the END point changes and can be shown or hidden individually via options in the "VISUALIZATION" section. 4. PENDING ORDER LABELS Show pending order information: - Direction (LONG or SHORT) - Entry price - Stop Loss - Take Profit Positioned far from the chart to avoid cluttering the visualization. ALERTS ------ If enabled, alerts send notifications when: 1. PENDING ORDER CREATED When a new pending order is placed, with all information. 2. PENDING ORDER UPDATED When the pending order is updated (for example, if the level changes or if the END point moves). 3. ORDER OPENED When the pending order is executed (filled) and the position is opened. Alerts can be configured in TradingView to send notifications via email, SMS, or other platforms. RECOMMENDED SETTINGS -------------------- To get started, you can use these settings: VISUALIZATION: - Show all lines and labels to see how it works - Show Start/End Lines: true (to display lines at START and END points) - Customize line colors in the "LINE COLORS" section according to your preferences STRATEGY: - Pending Order Level: 50% (balanced) - Extended TP: 0% (use standard TP at 100%) FILTERS: - Minimum Trend: 0 pips (disabled initially) - Use EMA Filter: false (disabled initially) - Extended Trend: false (use normal logic) ALERTS: - Enable Alerts: true (if you want to receive notifications) PRACTICAL EXAMPLE ----------------- Scenario: Bearish Trend 1. Price forms 5 consecutive red candles 2. The strategy identifies: - START = 1.2000 (highest point) - END = 1.1900 (lowest point) - Range = 100 pips 3. Calculates Fibonacci levels (for retracements: START = 100%, END = 0%): - 100% = 1.2000 (START) - 70% = 1.1930 - 60% = 1.1940 - 50% = 1.1950 - 25% = 1.1975 - 0% = 1.1900 (END) 4. If you set "Pending Order Level" to 50%: - Places a SHORT pending order at 1.1950 (50% retracement) - Stop Loss at 1.2000 (START = 100%) - Take Profit at 1.1900 (END = 0%) 5. If price rises and touches 1.1950: - The order is executed - Opens a SHORT position - If price falls to 1.1900 → Take Profit (profit) - If price rises to 1.2000 → Stop Loss (loss) IMPORTANT NOTE -------------- This strategy is a technical analysis tool. Like all trading strategies, it does not guarantee profits. Trading involves risks and you can lose money. Always use appropriate risk management and test the strategy on historical data before using it with real money. LICENSE ------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategia Pine Script®
od Burdiga84
17
Squeeze Momentum with Trend Exhaustion# Squeeze Momentum + Trend Exhaustion Indicator ## Complete User Manual --- ## Table of Contents 1. (#what-this-indicator-does) 2. (#visual-components) 3. (#market-states) 4. (#how-to-read-signals) 5. (#trading-examples) 6. (#configuration-guide) 7. (#best-practices) --- ## What This Indicator Does This indicator combines two powerful concepts to identify complete market cycles: ### 1. Squeeze Momentum (LazyBear) Detects **volatility compression** (consolidation) and subsequent **expansion** (breakout). **Think of it like:** A spring being compressed, then released. ### 2. Multi-Timeframe Trend Exhaustion Measures how far price has moved from its moving averages across multiple timeframes. **Think of it like:** A rubber band being stretched—eventually it must snap back. ### The Complete Cycle ``` Consolidation → Breakout → Trend → Exhaustion → Reversion → Consolidation ``` This indicator shows you exactly where you are in this cycle. --- ## Visual Components ### Main Panel (Bottom) | Element | What It Looks Like | Meaning | |---------|-------------------|---------| | **Colored Bars** | Green/Red histogram | Momentum strength and direction | | **Filled Area** | Yellow/Lime/Red gradient area | Price extension from moving averages | | **Cross at Zero** | Black/Gray/Blue cross | Squeeze state (volatility) | | **Dashed Lines** | Horizontal red/green lines | Extension thresholds (±2σ scaled) | --- ### 1. Momentum Histogram (Colored Bars) | Color | Direction | Meaning | |-------|-----------|---------| | **Bright Green** (Lime) | Up ↑ | Strong bullish momentum (increasing) | | **Dark Green** | Up ↑ | Weak bullish momentum (decreasing) | | **Bright Red** | Down ↓ | Strong bearish momentum (increasing) | | **Dark Red** (Maroon) | Down ↓ | Weak bearish momentum (decreasing) | **Key insight:** When bars change from bright to dark, momentum is fading. --- ### 2. Extension Area (Filled Gradient) Shows how extended price is from its moving averages across 5 timeframes (5m, 15m, 1h, 4h, Daily). | Color | Position | Meaning | |-------|----------|---------| | **Red** | High above zero | Severely overbought (>2σ scaled) | | **Orange/Yellow** | Above zero | Moderately overbought | | **Lime/Green** | Below zero | Moderately oversold | | **Teal** | Deep below zero | Severely oversold (<-2σ scaled) | **The area is scaled 3x** for better visibility. Actual values shown in table. **Reading it:** - **Area touching upper dashed line** = Price very far above averages (exhaustion territory) - **Area touching lower dashed line** = Price very far below averages (exhaustion territory) - **Area near zero** = Price near its averages (normal/neutral) --- ### 3. Squeeze Indicator (Cross at Zero Line) | Color | Status | Meaning | |-------|--------|---------| | **Black** ⚫ | Squeeze ON | Bollinger Bands inside Keltner Channels → Low volatility, consolidation | | **Gray** ⚪ | Squeeze OFF | Bollinger Bands outside Keltner Channels → Volatility expanding, breakout | | **Blue** 🔵 | No Squeeze | Normal volatility conditions | **Critical:** The transition from Black → Gray is where explosive moves begin. --- ### 4. Entry/Exit Signals | Symbol | Type | Meaning | |--------|------|---------| | 🔺 **Large Green Triangle** | HC Long Entry | High Confidence long setup (Squeeze OFF + Oversold + Confluence) | | 🔻 **Large Red Triangle** | HC Short Entry | High Confidence short setup (Squeeze OFF + Overbought + Confluence) | | 🔺 Small green | Medium Long | Long setup without full confluence | | 🔻 Small red | Medium Short | Short setup without full confluence | | ✕ Orange X | Exit Long | Close long positions (exhaustion detected) | | ✕ Teal X | Exit Short | Close short positions (exhaustion detected) | **Trade only the LARGE triangles** for highest probability setups. --- ## Market States The indicator identifies 7 distinct market states shown in the info table. ### State 1: 💤 CONSOLIDATION **Conditions:** - Squeeze: ON (black cross) - Extension: Near zero (±1σ) - Momentum: Contracting **What's happening:** Price is range-bound, volatility dying down. Spring is being compressed. **Action:** **WAIT.** Do not trade. Set alerts for Squeeze OFF. --- ### State 2: ⚡ BREAKOUT BULL / BEAR **Conditions:** - Squeeze: OFF (gray cross) ← **Key trigger** - Extension: Still moderate - Momentum: Strong directional move (bright green or red bars) **What's happening:** Volatility explosion. Spring released. This is the start of a new trend. **Action:** **ENTER** in direction of momentum. - ⚡ BREAKOUT BULL → Go LONG - ⚡ BREAKOUT BEAR → Go SHORT **Best scenario:** Breakout from oversold/overbought levels (confluence with exhaustion indicator). --- ### State 3: ↗️ TRENDING UP / ↘️ TRENDING DOWN **Conditions:** - Squeeze: OFF or No Squeeze - Extension: Growing (1σ to 2σ) - Momentum: Sustained strong bars **What's happening:** Trend in progress. Price moving away from averages. **Action:** **HOLD** positions. Let winners run. Don't fight the trend. --- ### State 4: ⚠️ EXTENDED UP / DOWN **Conditions:** - Extension: Above 2σ threshold - Momentum: Still strong (bright bars) - Confluence: May be weak **What's happening:** Price stretched but still has power. Caution zone. **Action:** **CAUTION.** Don't enter new positions. Tighten stops on existing positions. --- ### State 5: 🔴 EXHAUSTION BULL / 🟢 EXHAUSTION BEAR **Conditions:** - Extension: >2σ (touching dashed lines) - Momentum: Fading (bright bars turning dark) - Velocity: Decreasing - Confluence: 3/5 or better **What's happening:** Rubber band stretched to maximum. Trend running out of energy. **Action:** **EXIT** positions. - 🔴 EXHAUSTION BULL → Close LONGS, consider SHORT - 🟢 EXHAUSTION BEAR → Close SHORTS, consider LONG **This is the highest probability reversal signal.** --- ### State 6: ➡️ TRENDING (Neutral Direction) **Conditions:** - Price trending but without clear momentum direction changes **Action:** **HOLD** or wait for clearer signals. --- ### State 7: — NEUTRAL **Conditions:** - Extension near zero - No squeeze - Weak momentum **Action:** No trade. Wait for setup. --- ## How to Read Signals ### Perfect Long Entry (High Confidence ⭐) **Requirements (all must be true):** 1. ⚫→⚪ Squeeze just turned OFF (gray cross) 2. 📊 Momentum bars bright GREEN and rising 3. 🔻 Extension area BELOW lower dashed line (oversold) 4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔻" in table) **Visual:** Large green triangle appears **What this means:** Price was oversold across multiple timeframes, consolidated, and is now breaking out upward with fresh momentum. **Entry:** Next candle after signal **Stop Loss:** Below recent consolidation low **Take Profit:** When extension area crosses back above zero, or when exit signal appears --- ### Perfect Short Entry (High Confidence ⭐) **Requirements (all must be true):** 1. ⚫→⚪ Squeeze just turned OFF (gray cross) 2. 📊 Momentum bars bright RED and falling 3. 🔺 Extension area ABOVE upper dashed line (overbought) 4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔺" in table) **Visual:** Large red triangle appears **What this means:** Price was overbought across multiple timeframes, consolidated, and is now breaking down with fresh momentum. **Entry:** Next candle after signal **Stop Loss:** Above recent consolidation high **Take Profit:** When extension area crosses back below zero, or when exit signal appears --- ### Exit Signals #### Exit Long (Orange X) **Appears when:** - Extension area reaches upper dashed line (>2σ) - Momentum bars turning from bright green to dark green - Price losing upward velocity **Action:** Close 50-100% of position. Move stop to breakeven on remainder. #### Exit Short (Teal X) **Appears when:** - Extension area reaches lower dashed line (<-2σ) - Momentum bars turning from bright red to dark red - Price losing downward velocity **Action:** Close 50-100% of position. Move stop to breakeven on remainder. --- ### Medium Confidence Signals (Small Triangles) These appear when squeeze is OFF and momentum is directional, but: - Extension is only moderate (not extreme), OR - Confluence is weak (<3/5 timeframes) **How to trade:** - Use smaller position size (50% of normal) - Tighter stops - Only take if other factors align (support/resistance, volume, etc.) --- ## Trading Examples ### Example 1: Classic Squeeze Play into Trend ``` Step 1: CONSOLIDATION (💤) Chart: Price moving sideways for 10-20 candles Indicator: Black cross at zero (Squeeze ON) Extension: Yellow/Lime area near zero line Action: Set alert for Squeeze OFF Step 2: BREAKOUT (⚡) Chart: Strong green candle breaks resistance Indicator: Cross turns GRAY (Squeeze OFF) Bright GREEN momentum bars appear Extension area still near zero or slightly below Signal: Large green triangle appears Action: ENTER LONG Stop loss below consolidation Target: Extension upper line Step 3: TRENDING (↗️) Chart: Series of higher highs and higher lows Indicator: Momentum bars stay bright green Extension area rising toward upper line Area color transitions yellow → orange → red Action: HOLD, trailing stop Step 4: EXHAUSTION (🔴) Chart: Price makes new high but with smaller candle Indicator: Extension area touches upper dashed line Momentum bars turn DARK green (weakening) Orange X appears Table shows "EXHAUSTION BULL" Action: EXIT position Book profits Step 5: REVERSION Chart: Price falls back toward moving averages Indicator: Extension area shrinks back toward zero Red momentum bars appear Action: Wait for next setup ``` **Result:** Caught the entire trend from breakout to exhaustion. --- ### Example 2: Failed Breakout (What NOT to Trade) ``` Situation: - Squeeze OFF (gray cross) ✓ - Momentum bars bright green ✓ - BUT extension area ABOVE upper line (already overbought) ✗ - Confluence shows 1/5 (only one timeframe agrees) ✗ Indicator: Small green triangle (medium confidence) or no triangle What happens: Price makes small move up, then reverses Lesson: Don't chase extended moves even if squeeze fires. Wait for price to be on the RIGHT SIDE of the extension lines. ``` --- ### Example 3: Exhaustion Reversal Trade ``` Step 1: EXTENDED (⚠️) Chart: Strong uptrend for days Indicator: Extension area deep in red zone (>2σ) Momentum still bright green but starting to shorten Table: "EXTENDED UP" / "CAUTION LONG" Action: Watch closely, tighten stops Step 2: EXHAUSTION (🔴) Chart: Price makes final push but with decreasing volume Indicator: Momentum bars turn DARK green Orange X appears Table: "EXHAUSTION BULL" + "4/5 🔺" Action: CLOSE any longs Consider SHORT entry Step 3: SQUEEZE FORMS (Optional) Chart: Price starts consolidating Indicator: Cross turns BLACK (Squeeze ON) Extension area falling toward zero Action: Wait for Squeeze OFF to confirm reversal Step 4: BREAKOUT DOWN (⚡) Indicator: Cross turns GRAY Bright RED momentum bars Large red triangle appears Action: ENTER SHORT (reversal confirmed) ``` **Result:** Exited at the top, caught the reversal. --- ## Configuration Guide ### Recommended Settings by Timeframe #### For 4H Charts (Swing Trading) ``` Squeeze Settings: (defaults are fine) - BB Length: 20 - BB MultFactor: 2.0 - KC Length: 20 - KC MultFactor: 1.5 Exhaustion TFs: - TF1: 15m - TF2: 1h - TF3: 4h - TF4: 12h or Daily - TF5: Daily or Weekly Extension Threshold: 2.0σ Min Confluence: 3/5 ``` #### For 1H Charts (Day Trading) ``` Squeeze Settings: (defaults) Exhaustion TFs: - TF1: 5m - TF2: 15m - TF3: 1h - TF4: 4h - TF5: Daily Extension Threshold: 2.0σ Min Confluence: 3/5 ``` #### For 15m Charts (Scalping) ``` Squeeze Settings: - BB Length: 15 - KC Length: 15 Exhaustion TFs: - TF1: 1m - TF2: 5m - TF3: 15m - TF4: 1h - TF5: 4h Extension Threshold: 2.5σ (higher to avoid noise) Min Confluence: 4/5 (more strict) ``` --- ### Understanding the Table Located in top-right corner: | Row | Meaning | |-----|---------| | **Market State** | Current cycle phase (Consolidation/Breakout/Trending/Exhaustion) | | **Squeeze** | 🔴 ON / 🟢 OFF / 🔵 No | | **Momentum** | ↑ Bull / ↓ Bear / ~ Weak / — Neutral | | **Extension** | Actual value in standard deviations (σ) - NOT scaled | | **Confluence** | How many timeframes agree (X/5 🔺 or 🔻) | | **Velocity** | Speed of extension change (↑ increasing, ↓ decreasing) | | **ACTION** | What to do right now | **Most important rows:** 1. **Market State** - Quick glance at current cycle 2. **Confluence** - Determines signal quality 3. **ACTION** - Direct guidance --- ## Best Practices ### ✅ DO 1. **Wait for High Confidence signals** (large triangles) - Don't trade every small signal - Quality over quantity 2. **Use the complete cycle** - Enter on Breakout (⚡) - Hold through Trending (↗️/↘️) - Exit on Exhaustion (🔴/🟢) 3. **Respect confluence** - 4/5 or 5/5 = Excellent probability - 3/5 = Good probability - 1-2/5 = Skip 4. **Combine with price action** - Support/resistance levels - Volume confirmation - Candlestick patterns 5. **Set alerts** - "Squeeze OFF" - Don't miss breakouts - "HC Long Setup" / "HC Short Setup" - "Exit Long" / "Exit Short" 6. **Scale positions** - Enter 50% on signal - Add 25% if extension confirms - Add final 25% if momentum sustains 7. **Use proper risk management** - Stop loss: Below/above consolidation - Position size: 1-2% account risk - Take profit: Extension targets or signals --- ### ❌ DON'T 1. **Don't trade Consolidation state** - Black cross (Squeeze ON) = Wait mode - No signals during consolidation 2. **Don't chase Extended moves** - If extension already >2σ when Squeeze fires - Even if momentum looks good - Wait for reversion first 3. **Don't fight strong trends** - If extension is growing and momentum strong - Don't counter-trend trade - Wait for exhaustion signals 4. **Don't ignore velocity** - If velocity is ↑ and extension high = still dangerous - If velocity is ↓ and extension high = safer reversal 5. **Don't trade low confluence** - 1/5 or 2/5 = Different timeframes disagree - High chance of false signal 6. **Don't use blindly** - Check overall market context - Major news events can override signals - Trend on higher timeframe matters 7. **Don't overtrade** - Good setups are rare (that's why they work) - Wait for complete setup formation --- ## Quick Reference Card ### Signal Quality Checklist **⭐⭐⭐ PERFECT SETUP (Trade this)** - Squeeze just turned OFF (⚫→⚪) - Momentum bright and directional - Extension >2σ (OPPOSITE direction of entry) - Confluence ≥3/5 - Large triangle signal - Action says "LONG/SHORT ENTRY ⭐" **⭐⭐ GOOD SETUP (Trade with caution)** - Squeeze OFF - Momentum directional - Extension moderate - Confluence ≥3/5 - Small triangle or Action confirms **⭐ WEAK SETUP (Skip)** - Low confluence (<3/5) - Extension same direction as entry - Momentum weak or conflicting - Already in Extended/Exhaustion state --- ### State → Action Quick Guide | See This State | Do This | |---------------|---------| | 💤 CONSOLIDATION | Wait, set alerts | | ⚡ BREAKOUT | Enter in direction | | ↗️/↘️ TRENDING | Hold positions | | ⚠️ EXTENDED | Tighten stops, no new entries | | 🔴/🟢 EXHAUSTION | Exit, consider reversal | | — NEUTRAL | No trade | --- ## Troubleshooting **Q: Indicator shows Exhaustion but price keeps going** **A:** Check velocity and momentum. If still bright bars + velocity ↑, wait. True exhaustion needs momentum weakening. **Q: Too many false signals** **A:** Increase Min Confluence to 4/5. Use longer timeframe chart (4h instead of 1h). **Q: Missing good trades** **A:** Set alerts for "Squeeze OFF" and "HC Entry" signals. You can't watch charts 24/7. **Q: Extension area looks weird** **A:** Remember it's scaled 3x for visibility. Check table for actual values. **Q: Which timeframe is best?** **A:** 4H for swing trading, 1H for day trading. Lower = more signals but more noise. **Q: Can I use this with other indicators?** **A:** Yes! Combine with: - Volume profile - Support/resistance levels - Moving averages on chart - RSI for additional confirmation --- ## Final Thoughts This indicator gives you a complete picture of market structure: - **Where are we?** (Market State) - **Where are we going?** (Momentum) - **How far can it go?** (Extension) - **When will it reverse?** (Exhaustion) The key is **patience**. Wait for the complete setup: 1. Consolidation (⚫ Squeeze ON) 2. Breakout (⚪ Squeeze OFF) 3. Right extension direction (oversold for longs, overbought for shorts) 4. Strong confluence (3/5+) When all pieces align, you get high-probability trades with clear entries, targets, and exits. **Trade the cycle, not every wiggle.** --- ## Support & Updates For questions or suggestions, refer to the original script documentation or TradingView community. **Remember:** No indicator is perfect. Always use proper risk management and combine multiple forms of analysis. **Good trading! 📈**
Wskaźnik Pine Script®
od Marianodipietra
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1 ## Indicator Description & User Guide --- ## 📊 Indicator Overview **Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1 **Type:** Support/Resistance & Liquidity Detection **Trading Style:** ICT Concepts (Inner Circle Trader) **Best Timeframes:** 1M, 5M, 15M, 1H --- ## 🎯 Core Features ### 1. **Support & Resistance Lines** - Automatically draws key swing high and swing low levels - Based on significant pivot points in price structure - Updates dynamically as new swings form ### 2. **"X" Mark - Liquidity Sweep** - **Symbol:** X marker on chart - **Meaning:** Indicates a liquidity sweep (stop hunt) - **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed - **Trading significance:** High-probability reversal zones after liquidity is taken ### 3. **"SFP" Label - Swing Failure Pattern** - **Symbol:** SFP text label - **Meaning:** Swing Failure Pattern detected - **What it shows:** Price attempted to make a new high/low but failed and reversed sharply - **Trading significance:** Strong reversal signal - smart money rejecting the level --- ## 📈 How to Use This Indicator ### Entry Setup Strategy: #### **For SHORT Trades (Sell):** 1. Wait for **SFP** to appear at a swing high 2. Look for **X marker** confirming liquidity sweep above the high 3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone 4. **Stop Loss:** Place above the red zone (above the swept high) 5. **Take Profit (Green Box):** Target the green zone below #### **For LONG Trades (Buy):** 1. Wait for **SFP** to appear at a swing low 2. Look for **X marker** confirming liquidity sweep below the low 3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone 4. **Stop Loss:** Place below the green zone (below the swept low) 5. **Take Profit (Red Box):** Target the red zone above --- ## 🎨 Color Coding System | Color | Zone Type | Usage | |-------|-----------|-------| | 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades | | 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades | | ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely | | 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal | --- ## 💡 Trading Examples ### Example 1: SHORT Trade (As shown in your chart) ``` 1. SFP appears at swing high (Red zone around 4,000) 2. X marker confirms liquidity sweep above the high 3. Entry: SHORT when price re-enters red zone 4. Stop Loss: Above red zone (e.g., 4,002) 5. Take Profit: Green zone below (3,964-3,972) 6. Risk:Reward = 1:3+ ``` ### Example 2: LONG Trade ``` 1. SFP appears at swing low (Green zone) 2. X marker confirms liquidity sweep below the low 3. Entry: LONG when price re-enters green zone 4. Stop Loss: Below green zone 5. Take Profit: Previous red zone above 6. Risk:Reward = 1:2 minimum ``` --- ## ⚠️ Important Trading Rules ### ✅ DO: - Wait for BOTH SFP and X marker confirmation - Enter on price returning to the zone (not on first touch) - Use proper position sizing (1-2% risk per trade) - Combine with market structure analysis - Look for confluences (orderblocks, fair value gaps) ### ❌ DON'T: - Trade against the higher timeframe trend - Enter without confirmation signals - Ignore the colored zones for SL/TP placement - Overtrade - wait for quality setups - Move stop loss to breakeven too early --- ## 🔧 Indicator Settings (Typical) **Adjustable Parameters:** - Swing Length: Number of bars to identify swing points - Show/Hide X markers - Show/Hide SFP labels - Zone opacity and colors - Line thickness --- ## 📚 ICT Concepts Explained ### **Liquidity Sweep:** Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments. ### **Swing Failure Pattern (SFP):** Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures. ### **Supply & Demand Zones:** - **Red zones** = Areas where selling pressure overwhelmed buyers - **Green zones** = Areas where buying pressure overwhelmed sellers - These zones act as magnets for price to return and react --- ## 🎓 Best Practices 1. **Confluence is Key:** - Combine with daily/weekly bias - Check for orderblocks nearby - Look for imbalances (FVG) 2. **Session Timing:** - Best during London/New York sessions - Avoid low liquidity periods 3. **Risk Management:** - Never risk more than 1-2% per trade - Use proper lot sizing - Take partial profits at key levels 4. **Timeframe Correlation:** - Check higher timeframe for bias - Enter on lower timeframe for precision - Exit based on higher timeframe targets --- ## 📞 Support & Updates **Version:** 1.0 **Compatibility:** TradingView Pine Script v5 **Updates:** Regular improvements based on ICT methodology --- ## ⚡ Quick Reference Card | Signal | Action | SL Placement | TP Target | |--------|--------|--------------|-----------| | SFP + X at High | SHORT at Red Zone | Above Red | Green Zone | | SFP + X at Low | LONG at Green Zone | Below Green | Red Zone | **Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context. --- *Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
Wskaźnik Pine Script®
od wut_trader
8
OCC Strategy Optimized (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide ## Introduction The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets. > > **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com). --- ## Key Features ### 1. Optimized Core Logic - **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier. - **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**. ### 2. Multi-Timeframe (MTF) Analysis - **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend. - **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes. ### 3. Advanced Risk Management This script features a hierarchical exit system to protect your capital and lock in profits: - **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry. - **Delayed Trailing Stop Loss (TSL):** - **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development. - **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues. - **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level. ### 4. Versatility - **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA. - **Trade Direction:** Toggle between Long-only, Short-only, or Both. - **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks. --- ## User Input Guide ### Core Settings - **Use Alternate Resolution?:** Enable this to use the MTF logic. - **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be. - **MA Type:** Select your preferred moving average smoothing method. - **MA Period:** The length of the Open/Close averages. - **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior. ### Risk Management Settings - **Use Trailing Stop Loss?:** Enables the TSL system. - **Trailing Stop %:** The distance the stop follows behind the price (Optimized Default: 1.5%). - **TSL Activation % (Delay):** The profit % required before the TSL starts moving. (Optimized Default: 2.0% to ensure 0.5% profit is locked immediately). - **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you. - **Take Profit %:** Your ultimate profit target for the trade. --- ## How to Trade with This Strategy 1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross. 2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change. 3. **Manage the Trade:** Let the TSL work. With the default **2.0% Activation** and **1.5% Trail**, the strategy will automatically lock in **0.5% profit** the moment the threshold is hit, then follow the price higher. 4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity). --- ## Recommended Settings 1. Trialing < Activation 2. Check ranging ## Credits Original Strategy by: **JustUncleL** Optimized and Enhanced by: **Antigravity AI**
Strategia Pine Script®
od trade_crush
5
Fundamental Dashboard [Standalone]Overview The Fundamental Strength Dashboard is a streamlined utility designed to evaluate the fundamental health of a stock directly on your chart. Instead of relying solely on price action, this indicator fetches real-time financial data to assess profitability, valuation, and financial stability. It aggregates five core financial metrics into a single "Fundamental Score" (0-5) and displays a clear rating (Strong Buy, Buy, Neutral, or Weak/Sell) in a customizable dashboard table. How It Works The script analyzes the following 5 Key Fundamental Metrics. For a stock to receive a "point" for a specific metric, it must meet the criteria defined in your settings: Net Income (Profitability): Checks if the company is actually profitable (Net Income > 0). EPS (Earnings Per Share): Ensures the company has positive Earnings Per Share (TTM). P/E Ratio (Valuation): Checks if the stock is valued reasonably compared to your maximum threshold (default: < 45). Debt-to-Equity (Leverage): Analyzes financial risk. Lower is better (default: < 0.5). ROE (Efficiency): Measures how effectively management uses equity to generate profit (default: > 15%). The Scoring System The indicator calculates a cumulative score based on how many of the above criteria are met: Score 5/5 → STRONG BUY: The stock meets all profitability, valuation, and stability criteria. Score 4/5 → BUY: The stock misses only one criterion but is otherwise fundamentally sound. Score 0-3 → WEAK / SELL: The stock fails multiple fundamental checks (e.g., negative earnings, high debt, or overvaluation). Features & Customization Every trader has different risk appetites and sector preferences. You can fully customize the thresholds in the Settings menu: Max P/E Threshold: Adjust this based on the sector (e.g., Tech stocks typically have higher P/Es than Utilities). Min ROE %: Set your requirement for management efficiency. Max Debt/Equity: Tighten or loosen leverage requirements. Visuals: Change the table position (Top Right, Bottom Right, etc.) and color scheme to match your chart theme. How to Use Add the indicator to your chart. Open the Settings (Gear icon). Adjust the Dynamic Thresholds to fit the sector you are trading. Look at the dashboard on the chart to see a snapshot of the stock's fundamental health. Disclaimer This script is for educational and informational purposes only. It relies on third-party financial data provided by TradingView, which may occasionally be missing or delayed. Always do your own research (DYOR) before making investment decisions.
Wskaźnik Pine Script®
od arora_rohit0999
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
Strategia Pine Script®
od officialjackofalltrades
Antigravity OCC Strategy (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide ## Introduction The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets. > > **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com). --- ## Key Features ### 1. Optimized Core Logic - **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier. - **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**. ### 2. Multi-Timeframe (MTF) Analysis - **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend. - **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes. ### 3. Advanced Risk Management This script features a hierarchical exit system to protect your capital and lock in profits: - **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry. - **Delayed Trailing Stop Loss (TSL):** - **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development. - **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues. - **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level. ### 4. Versatility - **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA. - **Trade Direction:** Toggle between Long-only, Short-only, or Both. - **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks. --- ## User Input Guide ### Core Settings - **Use Alternate Resolution?:** Enable this to use the MTF logic. - **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be. - **MA Type:** Select your preferred moving average smoothing method. - **MA Period:** The length of the Open/Close averages. - **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior. ### Risk Management Settings - **Use Trailing Stop Loss?:** Enables the TSL system. - **Trailing Stop %:** The distance the stop follows behind the price. - **TSL Activation % (Delay):** The profit % required before the TSL starts moving. - **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you. - **Take Profit %:** Your ultimate profit target for the trade. --- ## How to Trade with This Strategy 1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross. 2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change. 3. **Manage the Trade:** Let the TSL work. Once the trade hits the activation threshold, the TSL will take over, protecting your runner. 4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity). --- ## Credits Original Strategy by: **JustUncleL** Optimized and Enhanced by: **Antigravity AI**
Strategia Pine Script®
od trade_crush
13
Arbitrage Detector [LuxAlgo]The Arbitrage Detector unveils hidden spreads in the crypto and forex markets. It compares the same asset on the main crypto exchanges and forex brokers and displays both prices and volumes on a dashboard, as well as the maximum spread detected on a histogram divided by four user-selected percentiles. This allows traders to detect unusual, high, typical, or low spreads. This highly customizable tool features automatic source selection (crypto or forex) based on the asset in the chart, as well as current and historical spread detection. It also features a dashboard with sortable columns and a historical histogram with percentiles and different smoothing options. 🔶 USAGE Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread. For begginers this tool is an easy way to understand how prices can vary between markets, helping you avoid trading at a disadvantage. For advanced traders it is a fast tool to spot arbitrage opportunities or inefficiencies that can be exploited for profit. Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders: Understand market inefficiencies Avoid trading at unfavorable prices Identify potential profit opportunities across exchanges As we can see in the image, the tool consists of two main graphics: a dashboard on the main chart and a histogram in the pane below. Both are useful for understanding the behavior of the same asset on different crypto exchanges or forex brokers. The tool's main goal is to detect and categorize spread activity across the major crypto and forex sources. The comparison uses data from up to 19 crypto exchanges and 13 forex brokers. 🔹 Forex or Crypto The tool selects the appropriate sources (crypto exchanges or forex brokers) based on the asset in the chart. Traders can choose which one to use. The image shows the prices and volumes for Bitcoin and the euro across the main sources, sorted by descending average price over the last 20 days. 🔹 Dashboard The dashboard displays a list of all sources with four main columns: last price, average price, volume, and total volume. All four columns can be sorted in ascending or descending order, or left unsorted. A background gradient color is displayed for the sorted column. Price and volume delta information between the chart asset and each exchange can be enabled or disabled from the settings panel. 🔹 Histogram The histogram is excellent for visualizing historical values and comparing them with the asset price. In this case, we have the Euro/U.S. Dollar daily chart. As we can see, the unusual spread activity detected since 2016, with values at or above 98%, is usually a good indication of increased trader activity, which may result in a key price area where the market could turn around. By default, the histogram has the gradient and smoothing auto features enabled. The differences are visible in the chart above. On top is an adaptive moving average with higher values for unusual activity. At the bottom is an exponential moving average with a length of 9. The differences between the gradient and solid colors are evident. In the first case, the colors are in sync with the data values, becoming more yellow with higher values and more green with lower values. In the second case, the colors are solid and only distinguish data above or below the defined percentiles. 🔶 SETTINGS Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart. Average Length: Select the length for the price and volume averages. 🔹 Percentiles Percentile Length: Select the length for the percentile calculation, or enable the use of the full dataset. Enabling this option may result in runtime errors due to exceeding the allotted resources. Unusual % >: Select the unusual percentile. High % >: Select the high percentile. Typical % >: Select the typical percentile. 🔹 Dashboard Dashboard: Enable or disable the dashboard. Sorting: Select the sorting column and direction. Position: Select the dashboard location. Size: Select the dashboard size. Price Delta: Show the price difference between each exchange and the asset on the chart. Volume Delta: Show the volume difference between each exchange and the asset on the chart. 🔹 Style Unusual: Enable the plot of the unusual percentile and select its color. High: Enable the plot of the high percentile and select its color. Typical: Enable the plot of the typical percentile and select its color. Low: Select the color for the low percentile. Percentiles Auto Color: Enable auto color for all plotted percentiles. Histogram Gradient: Enable the gradient color for the histogram. Histogram Smoothing: Select the length of the EMA smoothing for the histogram or enable the Auto feature. The Auto feature uses an adaptive moving average with the data percent rank as the efficiency ratio.
Wskaźnik Pine Script®
od LuxAlgo
7
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R) Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg. “Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits. Core Idea This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model. It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections. A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio. Default Properties & Risk Assumptions The backtest uses realistic but conservative defaults: // Default properties used for backtesting strategy( "Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)", overlay = true, initial_capital = 10000, // realistic account size default_qty_type = strategy.percent_of_equity, default_qty_value = 1, // 1% risk per trade commission_type = strategy.commission.cash_per_contract, commission_value = 0.005, // example stock commission slippage = 0 // see notes below ) Account size: 10,000 (can be changed to match your own account). Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations. Commission: 0.005 cash per contract/share as a realistic example for stock trading. Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker. Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable. 1. Full Fractal Wave Engine The script builds and maintains four pivot streams using ATR-adaptive fractals: Primary Degree (Macro Trend): Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines. Intermediate Degree (Trading Degree): Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ). Minor Degree (Micro Structure): Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c). ABC Corrections (Optional): When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines. Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions. 2. Theory Rules & Strict Mode Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use. Strict Mode: Enforces key Elliott constraints: Wave 3 not shorter than waves 1 and 5. No invalid W4 overlap with W1 (for standard impulses). ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up. 3. Trend Filter & Pivots EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter. Price above EMA → Only long setups are considered. Price below EMA → Only short setups are considered. ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes. 4. Dynamic Risk Management (Guaranteed R/R Engine) The trading engine is designed around risk, not just pattern recognition: ATR-Based Stop: Stop-loss is placed at: Entry ± ATR × Multiplier (user-configurable, default 2.0). This anchors risk to current volatility. Minimum Reward:Risk Ratio: For each setup, the script: Computes the distance from entry to stop (risk). Projects a take-profit target at risk × min_rr_ratio away from entry. Only accepts the setup if risk is positive and the required R:R ratio is achievable. Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design. “Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability. 5. Trading Logic – W3–W4–W5 Pattern The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern: Bullish structure: Sequence of pivots forms a higher-high / higher-low pattern. Price is above the EMA trend filter. A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode). Entry (Long – W4 Pullback): The “height” of W3 is measured. Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg. ATR-based stop is placed below entry. Take-profit is projected to satisfy min Reward:Risk. Bearish structure: Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down). Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price. 6. Orders & Execution Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”). Exits: A single strategy.exit() is attached to each entry with: Take-profit at the projected minimum R:R target. Stop-loss at ATR-based level. One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained. 7. Visual Guide on the Chart Wave Labels: Primary: ①,②,③,④,⑤, ⒶⒷⒸ Intermediate: (1)…(5), (A)(B)(C) Minor: i…v, a b c Trend EMA: Single blue EMA showing the dominant trend. Setup Boxes: Green transparent box → long entry zone. Red transparent box → short entry zone. Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price. 8. How to Use This Strategy Attach the strategy to your chart Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list. Start with the default settings Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.). Study the wave map Zoom in and out and look at the three wave degrees: Blue circles → Primary degree (big picture trend). Teal (1)…(5) → Intermediate degree (swing structure). Red i…v → Minor degree (micro waves). Use this to understand how the engine is interpreting the Elliott structure on your symbol. Watch for valid setups Look for the coloured boxes and labels: Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend. Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend. Only trades in the direction of the EMA trend filter are allowed by the strategy. Check the Reward:Risk of each idea For each setup, inspect: Limit entry price. ATR-based stop level. Projected take-profit level. Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it. Backtest and evaluate Open the Strategy Tester: Verify you have a decent sample size (ideally 100+ trades). Check drawdowns, average trade, win-rate and R:R distribution. Change markets and timeframes to see where the logic behaves best. Adapt to your own risk profile If you plan to use it live: Set Initial Capital to your real account size. Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade). Set commission and slippage to realistic broker values. Re-run the backtest after every major change. Use as a framework, not a signal machine Treat this as a structured Elliott/R:R framework: Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals. Optionally hide some wave degrees or ABC labels if you want a cleaner chart. Combine the system’s structure with your own trade management and discretion. Best Practices & Limitations This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis. All wave counts are algorithmic and can differ from a manual analyst’s interpretation. Like any backtest, results depend heavily on: Symbol and timeframe. Sample size (more trades are better). Realistic commission/slippage settings. The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance. No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework. Disclaimer This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
Strategia Pine Script®
od mbedaiwi2
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Strategia Pine Script®
od officialjackofalltrades
Classic Wave: The Easy WayClassic Wave is a simple strategy with few rules and no over-optimization. Despite its simplicity, it is backed by a nearly century-long historical track record, delivering excellent returns on the weekly chart of the SPX (TVC). I also recommend observing its strong performance on the SPY (weekly), which is the perfect instrument for executing this strategy with futures in the future. Strategy Rules and Parameters When a bullish candle closes above the 20-period EMA, we place the stop-loss below the low of that candle and target a risk-reward ratio of 1:1. A second, more profitable variant is to change the risk-reward ratio in the code to 2:1. -Total capital: $10,000 -We use 10% of the total capital per trade. -Commissions: 0.1% per trade. The code construction is simple and very well detailed within the script itself. Risk-Reward Ratio 2:1 Using a 2:1 risk-reward ratio reduces the win rate but significantly increases profitability. Across the full historical data of the SPX index (weekly), the system would have generated 236 trades, with a win rate of 51.27% and a profit factor of 2.53. From January 1, 2023, to November 28, 2025, the system would have generated 5 trades, with an 80% win rate and a profit factor of 9.244. What makes this system so good? -It takes advantage of the long-term bullish bias of U.S. stock indices and traditional markets. -It filters out a lot of noise thanks to the weekly timeframe. -It uses simple parameters with no over-optimization. Final Notes: This strategy has consistently outperformed the returns offered by most traditional funds over time, with fewer drawdowns and significantly less stress. I hope you like it.
Strategia Pine Script®
od OldWave96
1
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Strategia Pine Script®
od Hash_Capital
Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend patterns to provide statistical duration estimates using advanced similarity matching and k-nearest neighbors analysis. Combines adaptive Supertrend with intelligent duration statistics, multi-timeframe confluence, volume confirmation, and quality scoring to identify high-probability setups with data-driven target ranges across all timeframes. Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance. WHAT MAKES THIS DIFFERENT Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?" The Statistical Analysis Engine: • Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately) • Uses k-nearest neighbors similarity matching to find historically similar setups • Calculates statistical duration estimates based on current market conditions • Learns from estimation errors and adapts over time (Advanced mode) • Displays visual duration analysis box showing median, average, and range estimates • Tracks Statistical accuracy with backtest statistics Complete Trading System: • Statistical trend duration analysis with three intelligence levels • Adaptive Supertrend with dynamic ATR-based bands • Multi-timeframe confluence analysis (6 timeframes: 5M to 1W) • Volume confirmation with spike detection and momentum tracking • Quality scoring system (0-70 points) rating each setup • One-click preset optimization for all trading styles • Anti-repaint guarantee on all signals and duration estimates METHODOLOGY CREDITS This indicator's approach is inspired by proven trading methodologies from respected market educators: • Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques • William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology) • Dan Zanger - Volatility expansion entries and momentum breakout strategies Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management. KEY FEATURES 1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration. How It Works: Step 1: Historical Tracking • Automatically records every completed SuperTrend trend (duration in bars) • Maintains separate databases for bullish trends and bearish trends • Stores up to 15 most recent trends of each type • Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance Step 2: Similarity Matching (k-Nearest Neighbors) • When new trend begins, system compares current conditions to ALL historical flips • Calculates similarity score based on: - Volume similarity (30% weight) - Is volume behaving similarly? - Volatility similarity (30% weight) - Is ATR/volatility similar? - Quality similarity (20% weight) - Is setup strength comparable? - Distance similarity (10% weight) - Is price distance from ST similar? - Support/Resistance proximity (10% weight) - Similar structural context? • Selects the 15 MOST SIMILAR historical trends (not just all trends) • This is like asking: "When conditions looked like this before, how long did trends last?" Step 3: Statistical Analysis • Calculates median duration (most common outcome) • Calculates average duration (mean of similar trends) • Determines realistic range (min to max of similar trends) • Applies exponential weighting (recent trends weighted more heavily) • Outputs confidence-weighted statistical estimate Step 4: Advanced Intelligence (Advanced Mode Only) The Advanced mode applies five sophisticated multipliers to refine estimates: A) Market Structure Multiplier (±30%): • Detects nearby support/resistance levels using pivot detection • If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection) • If flip occurs in open space: Estimate adjusted +30% (clear path for continuation) • Uses configurable lookback period and ATR-based proximity threshold B) Asset Type Multiplier (±40%): • Adjusts duration estimates based on asset volatility characteristics • Small Cap / Biotech: +40% (explosive, extended moves) • Tech Growth: +20% (momentum-driven, longer trends) • Blue Chip / Large Cap: 0% (baseline, steady trends) • Dividend / Value: -20% (slower, grinding trends) • Cyclical: Variable based on macro regime • Crypto / High Volatility: +30% (parabolic potential) C) Flip Strength Multiplier (±20%): • Analyzes the QUALITY of the trend flip itself • Strong flip (high volume + expanding ATR + quality score 60+): +20% • Weak flip (low volume + contracting ATR + quality score under 40): -20% • Logic: Historical data shows that powerful flips tend to be followed by longer trends D) Error Learning Multiplier (±15%): • Tracks Statistical accuracy over last 10 completed trends • Calculates error ratio: (estimated duration / Actual Duration) • If system consistently over-estimates: Apply -15% correction • If system consistently under-estimates: Apply +15% correction • Learns and adapts to current market regime E) Regime Detection Multiplier (±20%): • Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear) • Compares recent trend durations to historical average • If recent trends 20%+ longer than average: +20% adjustment (trending regime detected) • If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected) • Detects whether market is in trending or mean-reversion mode Three analysis modes: SIMPLE MODE - Basic Statistics • Uses raw median of similar trends only • No multipliers, no adjustments • Best for: Beginners, clean trending markets • Fastest calculations, minimal complexity STANDARD MODE - Full Statistical Analysis • Similarity matching with k-nearest neighbors • Exponential weighting of recent trends • Median, average, and range calculations • Best for: Most traders, general market conditions • Balance of accuracy and simplicity ADVANCED MODE - Statistics + Intelligence • Everything in Standard mode PLUS • All 5 advanced multipliers (structure, asset type, flip strength, learning, regime) • Highest Statistical accuracy in testing • Best for: Experienced traders, volatile/complex markets • Maximum intelligence, most adaptive Visual Duration Analysis Box: When a new trend begins (SuperTrend flip), a box appears on your chart showing: • Analysis Mode (Simple / Standard / Advanced) • Number of historical trends analyzed • Median expected duration (most likely outcome) • Average expected duration (mean of similar trends) • Range (minimum to maximum from similar trends) • Advanced multipliers breakdown (Advanced mode only) • Backtest accuracy statistics (if available) The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses. Backtest & Accuracy Tracking: • System backtests its own duration estimates using historical data • Shows accuracy metrics: how well duration estimates matched actual durations • Tracks last 10 completed duration estimates separately • Displays statistics in dashboard and duration analysis boxes • Helps you understand statistical reliability on your specific symbol/timeframe Anti-Repaint Guarantee: • duration analysis boxes only appear AFTER bar close (barstate.isconfirmed) • Historical duration estimates never disappear or change • What you see in history is exactly what you would have seen real-time • No future data leakage, no lookahead bias 2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure. "AUTO (DETECT FROM TF)" - RECOMMENDED The smartest option: automatically selects optimal settings based on your chart timeframe. • 1m-5m charts → Scalping preset (ATR: 7, Mult: 2.0) • 15m-1h charts → Day Trading preset (ATR: 10, Mult: 2.5) • 2h-4h-D charts → Swing Trading preset (ATR: 14, Mult: 3.0) • W-M charts → Position Trading preset (ATR: 21, Mult: 4.0) Benefits: • Zero configuration - works immediately • Always matched to your timeframe • Switch timeframe = automatic adjustment • Perfect for traders who use multiple timeframes "SCALPING (1-5M)" - Ultra-Fast Signals Optimized for: 1-5 minute charts, high-frequency trading, quick profits Target holding period: Minutes to 1-2 hours maximum Best markets: High-volume stocks, major crypto pairs, active futures Parameter Configuration: • Supertrend: ATR 7, Multiplier 2.0 (very sensitive) • Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges) • Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping) • Quality minimum: 40 points (accepts more setups) • Duration Analysis: Uses last 15 trends with heavy recent weighting Trading Logic: Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions. Signals per session: 5-15 typically Hold time: Minutes to couple hours Best for: Active traders with fast execution "DAY TRADING (15M-1H)" - Balanced Approach Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading Target holding period: 30 minutes to 8 hours (within trading day) Best markets: Large-cap stocks, major indices, established crypto Parameter Configuration: • Supertrend: ATR 10, Multiplier 2.5 (balanced) • Volume: MA 20, High 1.5x, Spike 2.5x (standard detection) • Volume Momentum: 5/20 periods (confirms intraday strength) • Quality minimum: 50 points (good setups preferred) • Duration Analysis: Balanced weighting of recent vs historical Trading Logic: The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive. Signals per session: 2-5 typically Hold time: 30 minutes to full day Best for: Part-time and full-time active traders "SWING TRADING (4H-D)" - Trend Stability Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation Target holding period: 2-15 days typically Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures Parameter Configuration: • Supertrend: ATR 14, Multiplier 3.0 (stable) • Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus) • Volume Momentum: 10/30 periods (trend stability) • Quality minimum: 60 points (high-quality setups only) • Duration Analysis: Favors consistent historical patterns Trading Logic: Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals. Signals per week: 2-5 typically Hold time: Days to couple weeks Best for: Part-time traders, swing style "POSITION TRADING (D-W)" - Long-Term Trends Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation Target holding period: Weeks to months Best markets: Blue-chip stocks, major indices, established cryptocurrencies Parameter Configuration: • Supertrend: ATR 21, Multiplier 4.0 (very stable) • Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation) • Volume Momentum: 20/50 periods (major trend confirmation) • Quality minimum: 70 points (excellent setups only) • Duration Analysis: Heavy emphasis on multi-year historical data Trading Logic: Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities. Signals per month: 1-2 typically Hold time: Weeks to months Best for: Long-term investors, set-and-forget approach "CUSTOM" - Advanced Configuration Purpose: Complete manual control for experienced traders Use when: You understand the parameters and want specific optimization Best for: Testing new approaches, unusual market conditions, specific instruments Full control over: • All SuperTrend parameters • Volume thresholds and momentum periods • Quality scoring weights • analysis mode and multipliers • Advanced features tuning Preset Comparison Quick Reference: Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W) Signals Frequency: Very High | High | Medium | Low Hold Duration: Minutes | Hours | Days | Weeks-Months Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts ATR Sensitivity: Highest | Medium | Lower | Lowest Time Investment: Highest | High | Medium | Lowest Experience Level: Expert | Advanced | Intermediate | Beginner+ 3. QUALITY SCORING SYSTEM (0-70 Points) Every signal is rated in real-time across three dimensions: Volume Confirmation (0-30 points): • Volume Spike (2.5x+ average): 30 points • High Volume (1.5x+ average): 20 points • Above Average (1.0x+ average): 10 points • Below Average: 0 points Volatility Assessment (0-30 points): • Expanding ATR (1.2x+ average): 30 points • Rising ATR (1.0-1.2x average): 15 points • Contracting/Stable ATR: 0 points Volume Momentum (0-10 points): • Strong Momentum (1.2x+ ratio): 10 points • Rising Momentum (1.0-1.2x ratio): 5 points • Weak/Neutral Momentum: 0 points Score Interpretation: 60-70 points - EXCELLENT: • All factors aligned • High conviction setup • Maximum position size (within risk limits) • Primary trading opportunities 45-59 points - STRONG: • Multiple confirmations present • Above-average setup quality • Standard position size • Good trading opportunities 30-44 points - GOOD: • Basic confirmations met • Acceptable setup quality • Reduced position size • Wait for additional confirmation or trade smaller Below 30 points - WEAK: • Minimal confirmations • Low probability setup • Consider passing • Only for aggressive traders in strong trends Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels. 4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS The system can simultaneously analyze trend alignment across 6 timeframes (optional feature): Timeframes analyzed: • 5-minute (scalping context) • 15-minute (intraday momentum) • 1-hour (day trading bias) • 4-hour (swing context) • Daily (primary trend) • Weekly (macro trend) Confluence Interpretation: • 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence) • 3-4/6 aligned - Moderate agreement (standard setup) • 1-2/6 aligned - Weak agreement (caution advised) Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends. 5. VOLUME MOMENTUM FILTER - Institutional Money Flow Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume: How it works: • Compares short-term volume average (fast period) to long-term average (slow period) • Ratio above 1.0 = Volume accelerating (money flowing IN) • Ratio above 1.2 = Strong acceleration (institutional participation likely) • Ratio below 0.8 = Volume decelerating (money flowing OUT) Why it matters: • Confirms trend with actual money flow, not just price • Leading indicator (volume often leads price) • Catches accumulation/distribution before breakouts • More intuitive than complex mathematical filters Integration with signals: • Optional filter - can be enabled/disabled per preset • When enabled: Only signals with rising volume momentum fire • AUTO-DISABLED in Scalping mode (too restrictive for fast trading) • Configurable fast/slow periods per trading style 6. ADAPTIVE SUPERTREND MULTIPLIER Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on: • Trend Strength: Price correlation over lookback period • Volume Weight: Current volume relative to average Benefits: • Tighter bands in calm markets (less premature exits) • Wider bands in volatile conditions (avoids whipsaws) • Better adaptation to biotech, small-cap, and crypto volatility • Optional - can be disabled for classic constant multiplier 7. VISUAL GRADIENT RIBBON 26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment: Color System: • Green shades - Bullish trend + volume confirmation (strongest) • Blue shades - Bullish trend, normal volume • Orange shades - Bearish trend + volume confirmation • Red shades - Bearish trend (weakest) Opacity varies based on: • Distance from SuperTrend (farther = more opaque) • Volume intensity (higher volume = stronger color) The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off. 8. INTELLIGENT ALERT SYSTEM Two-tier alert architecture for flexibility: Automatic Alerts: • Fire automatically on BUY and SELL signals • Include full context: quality score, volume state, volume momentum • One alert per bar close (alert.freq_once_per_bar_close) • Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)" Customizable Alert Conditions: • Appear in TradingView's "Create Alert" dialog • Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL) • Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}} • Fully customizable message templates All alerts use barstate.isconfirmed - Zero repaint guarantee. 9. ANTI-REPAINT ARCHITECTURE Every component guaranteed non-repainting: • Entry signals: Only appear after bar close • duration analysis boxes: Created only on confirmed SuperTrend flips • Informative labels: Wait for bar confirmation • Alerts: Fire once per closed bar • Multi-timeframe data: Uses lookahead=barmerge.lookahead_off What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates. HOW TO USE THE INDICATOR QUICK START - 3 Steps to Trading: Step 1: Select Your Trading Style Open indicator settings → "Quick Setup" section → Trading Style Preset dropdown Options: • Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe • Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals • Day Trading (15m-1h) - For 15m-1h charts, balanced approach • Swing Trading (4h-D) - For 4h-Daily charts, trend stability • Position Trading (D-W) - For Daily-Weekly charts, long-term trends • Custom - Manual configuration (advanced users only) Choose "Auto" and you're done - all parameters optimize automatically. Step 2: Understand the Signals BUY Signal (Green Triangle Below Price): • SuperTrend flipped bullish • Quality score meets minimum threshold (varies by preset) • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration SELL Signal (Red Triangle Above Price): • SuperTrend flipped bearish • Quality score meets minimum threshold • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration Duration Analysis Box: • Appears at SuperTrend flip (start of new trend) • Shows median, average, and range duration estimates • Extends to estimated endpoint based on historical data visually • Updates mode-specific intelligence (Simple/Standard/Advanced) Step 3: Use the Dashboard for Context Dashboard (top-right corner) shows real-time metrics: • Row 1 - Quality Score: Current setup rating (0-70) • Row 2 - SuperTrend: Direction and current level • Row 3 - Volume: Status (Spike/High/Normal/Low) with color • Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting) • Row 5 - Volume Momentum: Ratio and trend • Row 6 - Duration Statistics: Accuracy metrics and track record Every cell has detailed tooltip - hover for full explanations. SIGNAL INTERPRETATION BY QUALITY SCORE: Excellent Setup (60-70 points): • Quality Score: 60-70 • Volume: Spike or High • Volatility: Expanding • Volume Momentum: Strong (1.2x+) • MTF Confluence (if enabled): 5-6/6 • Action: Primary trade - maximum position size (within risk limits) • Statistical reliability: Highest - duration estimates most accurate Strong Setup (45-59 points): • Quality Score: 45-59 • Volume: High or Above Average • Volatility: Rising • Volume Momentum: Rising (1.0-1.2x) • MTF Confluence (if enabled): 3-4/6 • Action: Standard trade - normal position size • Statistical reliability: Good - duration estimates reliable Good Setup (30-44 points): • Quality Score: 30-44 • Volume: Above Average • Volatility: Stable or Rising • Volume Momentum: Neutral to Rising • MTF Confluence (if enabled): 3-4/6 • Action: Cautious trade - reduced position size, wait for additional confirmation • Statistical reliability: Moderate - duration estimates less certain Weak Setup (Below 30 points): • Quality Score: Below 30 • Volume: Low or Normal • Volatility: Contracting or Stable • Volume Momentum: Weak • MTF Confluence (if enabled): 1-2/6 • Action: Pass or wait for improvement • Statistical reliability: Low - duration estimates unreliable USING duration analysis boxES FOR TRADE MANAGEMENT: Entry Timing: • Enter on SuperTrend flip (signal bar close) • duration analysis box appears simultaneously • Note the median duration - this is your expected hold time Profit Targets: • Conservative: Use MEDIAN duration as profit target (50% probability) • Moderate: Use AVERAGE duration (mean of similar trends) • Aggressive: Aim for MAX duration from range (best historical outcome) Position Management: • Scale out at median duration (take partial profits) • Trail stop as trend extends beyond median • Full exit at average duration or SuperTrend flip (whichever comes first) • Re-evaluate if trend exceeds estimated range analysis mode Selection: • Simple: Clean trending markets, beginners, minimal complexity • Standard: Most markets, most traders (recommended default) • Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy Asset Type Configuration (Advanced Mode): If using Advanced analysis mode, configure Asset Type for optimal accuracy: • Small Cap: Stocks under $2B market cap, low liquidity • Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk • Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies • Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS) • Dividend / Value: Dividend aristocrats, value stocks, utilities • Cyclical: Energy, materials, industrials (macro-driven) • Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets Correct asset type selection improves Statistical accuracy by 15-20%. RISK MANAGEMENT GUIDELINES: 1. Stop Loss Placement: Long positions: • Place stop below recent swing low OR • Place stop below SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level (built-in volatility adjustment) Short positions: • Place stop above recent swing high OR • Place stop above SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level 2. Position Sizing by Quality Score: • Excellent (60-70): Maximum position size (2% risk per trade) • Strong (45-59): Standard position size (1.5% risk per trade) • Good (30-44): Reduced position size (1% risk per trade) • Weak (Below 30): Pass or micro position (0.5% risk - learning trades only) 3. Exit Strategy Options: Option A - Statistical Duration-Based Exit: • Exit at median estimated duration (conservative) • Exit at average estimated duration (moderate) • Trail stop beyond average duration (aggressive) Option B - Signal-Based Exit: • Exit on opposite signal (SELL after BUY, or vice versa) • Exit on SuperTrend flip (trend reversal) • Exit if quality score drops below 30 mid-trend Option C - Hybrid (Recommended): • Take 50% profit at median estimated duration • Trail stop on remaining 50% using SuperTrend as trailing level • Full exit on SuperTrend flip or quality collapse 4. Trade Filtering: For higher win-rate (fewer trades, better quality): • Increase minimum quality score (try 60 for swing, 50 for day trading) • Enable volume momentum filter (ensure institutional participation) • Require higher MTF confluence (5-6/6 alignment) • Use Advanced analysis mode with appropriate asset type For more opportunities (more trades, lower quality threshold): • Decrease minimum quality score (40 for day trading, 35 for scalping) • Disable volume momentum filter • Lower MTF confluence requirement • Use Simple or Standard analysis mode SETTINGS OVERVIEW Quick Setup Section: • Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom Dashboard & Display: • Show Dashboard (ON/OFF) • Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right) • Text Size (Auto/Tiny/Small/Normal/Large/Huge) • Show Ribbon Fill (ON/OFF) • Show SuperTrend Line (ON/OFF) • Bullish Color (default: Green) • Bearish Color (default: Red) • Show Entry Labels - BUY/SELL signals (ON/OFF) • Show Info Labels - Volume events (ON/OFF) • Label Size (Auto/Tiny/Small/Normal/Large/Huge) Supertrend Configuration: • ATR Length (default varies by preset: 7-21) • ATR Multiplier Base (default varies by preset: 2.0-4.0) • Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment • Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands • Neutral Bars After Flip (0-10) - Hide ST immediately after flip Volume Momentum: • Enable Volume Momentum Filter (ON/OFF) • Fast Period (default varies by preset: 3-20) • Slow Period (default varies by preset: 10-50) Volume Analysis: • Volume MA Length (default varies by preset: 10-50) • High Volume Threshold (default: 1.5x) • Spike Threshold (default: 2.5x) • Low Volume Threshold (default: 0.7x) Quality Filters: • Minimum Quality Score (0-70, varies by preset) • Require Volume Confirmation (ON/OFF) Trend Duration Analysis: • Show Duration Analysis (ON/OFF) - Display duration analysis boxes • analysis mode - Simple / Standard / Advanced • Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto) • Use Exponential Weighting (ON/OFF) - Recent trends weighted more • Decay Factor (0.5-0.99) - How much more recent trends matter • Structure Lookback (3-30) - Pivot detection period for support/resistance • Proximity Threshold (xATR) - How close to level qualifies as "near" • Enable Error Learning (ON/OFF) - System learns from estimation errors • Memory Depth (3-20) - How many past errors to remember Box Visual Settings: • duration analysis box Border Color • duration analysis box Background Color • duration analysis box Text Color • duration analysis box Border Width • duration analysis box Transparency Multi-Timeframe (Optional Feature): • Enable MTF Confluence (ON/OFF) • Minimum Alignment Required (0-6) • Individual timeframe enable/disable toggles • Custom timeframe selection options All preset configurations override manual inputs except when "Custom" is selected. ADVANCED FEATURES 1. Scalpel Mode (Optional) Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry: • Monitors price distance from SuperTrend levels • Requires pullback to configurable range (default: 30-50%) • Ensures trend remains intact before entry signal • Reduces whipsaw and false breakouts • Inspired by Mark Minervini's VCP pullback entries Best for: Swing traders and day traders seeking precision entries Scalpers: Consider disabling for faster entries 2. Error Learning System (Advanced analysis mode Only) The system learns from its own estimation errors: • Tracks last 10-20 completed duration estimates (configurable memory depth) • Calculates error ratio for each: estimated duration / Actual Duration • If system consistently over-estimates: Applies negative correction (-15%) • If system consistently under-estimates: Applies positive correction (+15%) • Adapts to current market regime automatically This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe. 3. Regime Detection (Advanced analysis mode Only) Automatically detects whether market is in trending or choppy regime: • Compares last 3 trends to historical average • Recent trends 20%+ longer → Trending regime (+20% to estimates) • Recent trends 20%+ shorter → Choppy regime (-20% to estimates) • Applied separately to bullish and bearish trends Helps duration estimates adapt to changing market conditions without manual intervention. 4. Exponential Weighting Option to weight recent trends more heavily than distant history: • Default decay factor: 0.9 • Recent trends get higher weight in statistical calculations • Older trends gradually decay in importance • Rationale: Recent market behavior more relevant than old data • Can be disabled for equal weighting 5. Backtest Statistics System backtests its own duration estimates using historical data: • Walks through past trends chronologically • Calculates what duration estimate WOULD have been at each flip • Compares to actual duration that occurred • Displays accuracy metrics in duration analysis boxes and dashboard • Helps assess statistical reliability on your specific chart Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias). TECHNICAL SPECIFICATIONS • Pine Script Version: v6 • Indicator Type: Overlay (draws on price chart) • Max Boxes: 500 (for duration analysis box storage) • Max Bars Back: 5000 (for comprehensive historical analysis) • Security Calls: 1 (for MTF if enabled - optimized) • Repainting: NO - All signals and duration estimates confirmed on bar close • Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data • Real-time Updates: YES - Dashboard and quality scores update live • Alert Capable: YES - Both automatic alerts and customizable alert conditions • Multi-Symbol: Works on stocks, crypto, forex, futures, indices Performance Optimization: • Conditional calculations (duration analysis can be disabled to reduce load) • Efficient array management (circular buffers for trend storage) • Streamlined gradient rendering (26 layers, can be toggled off) • Smart label cooldown system (prevents label spam) • Optimized similarity matching (analyzes only relevant trends) Data Requirements: • Minimum 50-100 bars for initial duration analysis (builds historical database) • Optimal: 500+ bars for robust statistical analysis • Longer history = more accurate duration estimates • Works on any timeframe from 1 minute to monthly KNOWN LIMITATIONS • Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate) • Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets. • Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe). • Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag. • Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by: - Market regime (trending vs choppy) - Asset volatility characteristics - Quality of historical pattern matches - Timeframe traded (higher TF = more reliable) • Not Best Suitable For: - Ultra-short-term scalping (sub-1-minute charts) - Mean-reversion strategies (designed for trend-following) - Range-bound trading (requires trending conditions) - News-driven spikes (estimates based on technical patterns, not fundamentals) FREQUENTLY ASKED QUESTIONS Q: Does this indicator repaint? A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee. Q: How accurate are the trend duration estimates? A: Accuracy varies by mode, market conditions, and historical data quality: • Simple mode: 60-70% accuracy (within ±20% of actual duration) • Standard mode: 70-80% accuracy (within ±20% of actual duration) • Advanced mode: 75-85% accuracy (within ±20% of actual duration) Best accuracy achieved on: • Higher timeframes (4H, Daily, Weekly) • Trending markets (not choppy/sideways) • Assets with consistent behavior (Blue Chip, Large Cap) • After 20+ historical trends analyzed (builds robust database) Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees. Q: Which analysis mode should I use? A: • Simple: Beginners, clean trending markets, want minimal complexity • Standard: Most traders, general market conditions (RECOMMENDED DEFAULT) • Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy Advanced mode requires correct Asset Type configuration for optimal results. Q: What's the difference between the trading style presets? A: Each preset optimizes ALL parameters for a specific trading approach: • Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds • Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds • Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds • Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds Auto mode automatically selects based on your chart timeframe. Q: Should I use Auto mode or manually select a preset? A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if: • You want scalping settings on a 15m chart (overriding auto-detection) • You want swing settings on a 1h chart (more conservative than auto would give) • You're testing different approaches on same timeframe Q: Can I use this for scalping and day trading? A: Absolutely! The preset system is specifically designed for all trading styles: • Select "Scalping (1-5m)" for 1-5 minute charts • Select "Day Trading (15m-1h)" for 15m-1h charts • Or use "Auto" mode and it configures automatically Volume momentum filter is auto-disabled in Scalping mode for faster signals. Q: What is Volume Momentum and why does it matter? A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?" Why it matters: • Volume often leads price (early warning system) • Confirms institutional participation (smart money) • No lag like price-based indicators • More intuitive than complex mathematical filters When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish). Q: How do I set up alerts? A: Two options: Option 1 - Automatic Alerts: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. Choose "Any alert() function call" 4. Configure notification method (app, email, webhook) 5. You'll receive detailed alerts on every BUY and SELL signal Option 2 - Customizable Alert Conditions: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. You'll see three options in dropdown: - "BUY Signal" (long signals only) - "SELL Signal" (short signals only) - "ANY Signal" (both BUY and SELL) 4. Choose desired option and customize message template 5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc. All alerts fire only on confirmed bar close (no repaint). Q: What is Scalpel Mode and should I use it? A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing. Recommended ON for: • Swing traders (want precision entries on pullbacks) • Day traders (willing to wait for better prices) • Risk-averse traders (prefer fewer but higher-quality entries) Recommended OFF for: • Scalpers (need immediate entries, can't wait for pullbacks) • Momentum traders (want to enter on breakout, not pullback) • Aggressive traders (prefer more opportunities over precision) Q: Why do some duration estimates show wider ranges than others? A: Range width reflects historical trend variability: • Narrow range: Similar historical trends had consistent durations (high confidence) • Wide range: Similar historical trends had varying durations (lower confidence) Wide ranges often occur: • Early in analysis (fewer historical trends to learn from) • In volatile/choppy markets (inconsistent trend behavior) • On lower timeframes (more noise, less consistency) The median and average still provide useful targets even when range is wide. Q: Can I customize the dashboard position and appearance? A: Yes! Dashboard settings include: • Position: 9 options (Top/Middle/Bottom + Left/Center/Right) • Text Size: Auto, Tiny, Small, Normal, Large, Huge • Show/Hide: Toggle entire dashboard on/off Choose position that doesn't overlap important price action on your specific chart. Q: Which timeframe should I trade on? A: Depends on your trading style and time availability: • 1-5 minute: Active scalping, requires constant monitoring • 15m-1h: Day trading, check few times per session • 4h-Daily: Swing trading, check once or twice daily • Daily-Weekly: Position trading, check weekly General principle: Higher timeframes produce: • Fewer signals (less frequent) • Higher quality setups (stronger confirmations) • More reliable duration estimates (better statistical data) • Less noise (clearer trends) Start with Daily chart if new to trading. Move to lower timeframes as you gain experience. Q: Does this work on all markets (stocks, crypto, forex)? A: Yes, it works on all markets with trending characteristics: Excellent for: • Stocks (especially growth and momentum names) • Crypto (BTC, ETH, major altcoins) • Futures (indices, commodities) • Forex majors (EUR/USD, GBP/USD, etc.) Best results on: • Trending markets (not range-bound) • Liquid instruments (tight spreads, good fills) • Volatile assets (clear trend development) Less effective on: • Range-bound/sideways markets • Ultra-low volatility instruments • Illiquid small-caps (use caution) Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy. Q: How many signals should I expect per day/week? A: Highly variable based on: By Timeframe: • 1-5 minute: 5-15 signals per session • 15m-1h: 2-5 signals per day • 4h-Daily: 2-5 signals per week • Daily-Weekly: 1-2 signals per month By Market Volatility: • High volatility = more SuperTrend flips = more signals • Low volatility = fewer flips = fewer signals By Quality Filter: • Higher threshold (60-70) = fewer but better signals • Lower threshold (30-40) = more signals, lower quality By Volume Momentum Filter: • Enabled = Fewer signals (only volume-confirmed) • Disabled = More signals (all SuperTrend flips) Adjust quality threshold and filters to match your desired signal frequency. Q: What's the difference between entry labels and info labels? A: Entry Labels (BUY/SELL): • Your primary trading signals • Based on SuperTrend flip + all confirmations (quality, volume, momentum) • Include quality score and confirmation icons • These are actionable entry points Info Labels (Volume Spike): • Additional market context • Show volume events that may support or contradict trend • 8-bar cooldown to prevent spam • NOT necessarily entry points - contextual information only Control separately: Can show entry labels without info labels (recommended for clean charts). Q: Can I combine this with other indicators? A: Absolutely! This works well with: • RSI: For divergences and overbought/oversold conditions • Support/Resistance: Confluence with key levels • Fibonacci Retracements: Pullback targets in Scalpel Mode • Price Action Patterns: Flags, pennants, cup-and-handle • MACD: Additional momentum confirmation • Bollinger Bands: Volatility context This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence. Q: Why did I get a low-quality signal? Can I filter them out? A: Yes! Increase the Minimum Quality Score in settings. If you're seeing signals with quality below your preference: • Day Trading: Set minimum to 50 • Swing Trading: Set minimum to 60 • Position Trading: Set minimum to 70 Only signals meeting the threshold will appear. This reduces frequency but improves win-rate. Q: How do I interpret the MTF Confluence count? A: Shows how many of 6 timeframes agree with current trend: • 6/6 aligned: Perfect agreement (extremely rare, highest confidence) • 5/6 aligned: Very strong alignment (high confidence) • 4/6 aligned: Good alignment (standard quality setup) • 3/6 aligned: Moderate alignment (acceptable) • 2/6 aligned: Weak alignment (caution) • 1/6 aligned: Very weak (likely counter-trend) Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring. Q: Is this suitable for beginners? A: Yes, but requires foundational knowledge: You should understand: • Basic trend-following concepts (higher highs, higher lows) • Risk management principles (position sizing, stop losses) • How to read candlestick charts • What volume and volatility mean Beginner-friendly features: • Auto preset mode (zero configuration) • Quality scoring (tells you signal strength) • Dashboard tooltips (hover for explanations) • duration analysis boxes (visual profit targets) Recommended for beginners: 1. Start with "Auto" or "Swing Trading" preset on Daily chart 2. Use Standard Analysis Mode (not Advanced) 3. Set minimum quality to 60 (fewer but better signals) 4. Paper trade first for 2-4 weeks 5. Study methodology references (Minervini, O'Neil, Zanger) Q: What is the Asset Type setting and why does it matter? A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics: • Small Cap: Explosive moves, extended trends (+30-40%) • Biotech / Speculative: Parabolic potential, news-driven (+40%) • Blue Chip / Large Cap: Baseline, steady trends (0% adjustment) • Tech Growth: Momentum-driven, longer trends (+20%) • Dividend / Value: Slower, grinding trends (-20%) • Cyclical: Macro-driven, variable (±10%) • Crypto / High Volatility: Parabolic potential (+30%) Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early). Q: Can I backtest this indicator? A: Yes! TradingView's Strategy Tester works with this indicator's signals. To backtest: 1. Note the entry conditions (SuperTrend flip + quality threshold + filters) 2. Create a strategy script using same logic 3. Run Strategy Tester on historical data Additionally, the indicator includes BUILT-IN duration estimate validation: • System backtests its own duration estimates • Shows accuracy metrics in dashboard and duration analysis boxes • Helps assess reliability on your specific symbol/timeframe Q: Why does Volume Momentum auto-disable in Scalping mode? A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping. Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results. You can manually enable it in Custom mode if desired. Q: How much historical data do I need for accurate duration estimates? A: Minimum: 50-100 bars (indicator will function but duration estimates less reliable) Recommended: 500+ bars (robust statistical database) Optimal: 1000+ bars (maximum Statistical accuracy) More history = more completed trends = better pattern matching = more accurate duration estimates. New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database. IMPORTANT DISCLAIMERS No Guarantee of Profit: This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance. Past Performance: Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets. Not Financial Advice: This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions. Risk Warning: Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle. Testing Required: Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money. User Responsibility: You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator. Statistical Estimation Limitations: Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions. CREDITS & ACKNOWLEDGMENTS Methodology Inspiration: • Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques • William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns • Dan Zanger - Momentum breakout strategies and volatility expansion entries Technical Components: • SuperTrend calculation - Classic ATR-based trend indicator (public domain) • Statistical analysis - Standard median, average, range calculations • k-Nearest Neighbors - Classic machine learning similarity matching concept • Multi-timeframe analysis - Standard request.security implementation in Pine Script For questions, feedback, or support, please comment below or send a private message. Happy Trading!
Wskaźnik Pine Script®
od orenluxy
43
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Strategia Pine Script®
od Truth_Strategy_Indie
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate. Below, I show you a simple bullish trend-following system with clear execution rules: System Rules -Long entries when the 50-period EMA crosses above the 200-period EMA. -Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA. Risk Management -Initial capital: $10,000 -Position size: 10% of capital per trade -Commissions: 0.1% per trade Important Note: In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility. Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly. Practical example: Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%): 23.57% − 15% = 8.57% Now suppose we normally use $200 per trade. To calculate 8.57% of $200: 200 × (8.57 / 100) = $17.14 Then subtract that amount from the original position size: $200 − $17.14 = $182.86 In summary: If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings. I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account. About the code: Strategy declaration: The strategy is named 'Golden Cross 50/200 EMA'. overlay=true means it will be drawn directly on the price chart. initial_capital=10000 sets the initial capital to $10,000. default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity. margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required). commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade. Indicators: Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200). Crossover detection: bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross). bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross). Recent swing: swingLow calculates the lowest low of the previous 15 periods. Stop Loss: entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs. Entry and exit conditions: Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened. Exit on opposite signal: When a bearCross occurs, the long position is closed. Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed. Visualization: Both EMAs are plotted (50-period in blue, 200-period in red). Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross. A horizontal orange line is drawn that shows the stop loss level whenever a position is open. Alerts: Alerts are created for:Long entry Exit on bearish crossover (Death Cross) Exit triggered by stop loss Favorable Conditions: Tesla (45-minute timeframe) June 29, 2010 – November 17, 2025 Total net profit: $12,458.73 or +124.59% Maximum drawdown: $1,210.40 or 8.29% Total trades: 107 Winning trades: 27.10% (29/107) Profit factor: 3.141 Tesla (1-hour timeframe) June 29, 2010 – November 17, 2025 Total net profit: $7,681.83 or +76.82% Maximum drawdown: $993.36 or 7.30% Total trades: 75 Winning trades: 29.33% (22/75) Profit factor: 3.157 Netflix (45-minute timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,380.73 or +113.81% Maximum drawdown: $699.45 or 5.98% Total trades: 134 Winning trades: 36.57% (49/134) Profit factor: 2.885 Netflix (1-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $11,689.05 or +116.89% Maximum drawdown: $844.55 or 7.24% Total trades: 107 Winning trades: 37.38% (40/107) Profit factor: 2.915 Netflix (2-hour timeframe) May 23, 2002 – November 17, 2025 Total net profit: $12,807.71 or +128.10% Maximum drawdown: $866.52 or 6.03% Total trades: 56 Winning trades: 41.07% (23/56) Profit factor: 3.891 Meta (45-minute timeframe) May 18, 2012 – November 17, 2025 Total net profit: $2,370.02 or +23.70% Maximum drawdown: $365.27 or 3.50% Total trades: 83 Winning trades: 31.33% (26/83) Profit factor: 2.419 Apple (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,232.55 or +80.59% Maximum drawdown: $581.11 or 3.16% Total trades: 140 Winning trades: 34.29% (48/140) Profit factor: 3.009 Apple (1-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $9,685.89 or +94.93% Maximum drawdown: $374.69 or 2.26% Total trades: 118 Winning trades: 35.59% (42/118) Profit factor: 3.463 Apple (2-hour timeframe) January 3, 2000 – November 17, 2025 Total net profit: $8,001.28 or +77.99% Maximum drawdown: $755.84 or 7.56% Total trades: 67 Winning trades: 41.79% (28/67) Profit factor: 3.825 NVDA (15-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $11,828.56 or +118.29% Maximum drawdown: $1,275.43 or 8.06% Total trades: 466 Winning trades: 28.11% (131/466) Profit factor: 2.033 NVDA (30-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $12,203.21 or +122.03% Maximum drawdown: $1,661.86 or 10.35% Total trades: 245 Winning trades: 28.98% (71/245) Profit factor: 2.291 NVDA (45-minute timeframe) January 3, 2000 – November 17, 2025 Total net profit: $16,793.48 or +167.93% Maximum drawdown: $1,458.81 or 8.40% Total trades: 172 Winning trades: 33.14% (57/172) Profit factor: 2.927
Strategia Pine Script®
od OldWave96
6
LapseBacktestingTableLibrary "LapseBacktestingMetrics" This library provides a robust set of quantitative backtesting and performance evaluation functions for Pine Script strategies. It’s designed to help traders, quants, and developers assess risk, return, and robustness through detailed statistical metrics — including Sharpe, Sortino, Omega, drawdowns, and trade efficiency. Built to enhance any trading strategy’s evaluation framework, this library allows you to visualize performance with the quantlapseTable() function, producing an interactive on-chart performance table. Credit to EliCobra and BikeLife76 for original concept inspiration. curve(disp_ind)   Retrieves a selected performance curve of your strategy.   Parameters:     disp_ind (simple string): Type of curve to plot. Options include "Equity", "Open Profit", "Net Profit", "Gross Profit".   Returns: (float) Corresponding performance curve value. cleaner(disp_ind, plot)   Filters and displays selected strategy plots for clean visualization.   Parameters:     disp_ind (simple string): Type of display.     plot (simple float): Strategy plot variable.   Returns: (float) Filtered plot value. maxEquityDrawDown()   Calculates the maximum equity drawdown during the strategy’s lifecycle.   Returns: (float) Maximum equity drawdown percentage. maxTradeDrawDown()   Computes the worst intra-trade drawdown among all closed trades.   Returns: (float) Maximum intra-trade drawdown percentage. consecutive_wins()   Finds the highest number of consecutive winning trades.   Returns: (int) Maximum consecutive wins. consecutive_losses()   Finds the highest number of consecutive losing trades.   Returns: (int) Maximum consecutive losses. no_position()   Counts the maximum consecutive bars where no position was held.   Returns: (int) Maximum flat days count. long_profit()   Calculates total profit generated by long positions as a percentage of initial capital.   Returns: (float) Total long profit %. short_profit()   Calculates total profit generated by short positions as a percentage of initial capital.   Returns: (float) Total short profit %. prev_month()   Measures the previous month’s profit or loss based on equity change.   Returns: (float) Monthly equity delta. w_months()   Counts the number of profitable months in the backtest.   Returns: (int) Total winning months. l_months()   Counts the number of losing months in the backtest.   Returns: (int) Total losing months. checktf()   Returns the time-adjusted scaling factor used in Sharpe and Sortino ratio calculations based on chart timeframe.   Returns: (float) Annualization multiplier. stat_calc()   Performs complete statistical computation including drawdowns, Sharpe, Sortino, Omega, trade stats, and profit ratios.   Returns: (array)      . f_colors(x, nv)   Generates a color gradient for performance values, supporting dynamic table visualization.   Parameters:     x (simple string): Metric label name.     nv (simple float): Metric numerical value.   Returns: (color) Gradient color value for table background. quantlapseTable(option, position)   Displays an interactive Performance Table summarizing all major backtesting metrics.   Includes Sharpe, Sortino, Omega, Profit Factor, drawdowns, profitability %, and trade statistics.   Parameters:     option (simple string): Table type — "Full", "Simple", or "None".     position (simple string): Table position — "Top Left", "Middle Right", "Bottom Left", etc.   Returns: (table) On-chart performance visualization table. This library empowers advanced quantitative evaluation directly within Pine Script®, ideal for strategy developers seeking deeper performance diagnostics and intuitive on-chart metrics.
Biblioteka Pine Script®
od QuantLapse
Risk & Position DashboardRisk & Position Dashboard Overview The Risk & Position Dashboard is a comprehensive trading tool designed to help traders calculate optimal position sizes, manage risk, and visualize potential profit/loss scenarios before entering trades. This indicator provides real-time calculations for position sizing based on account size, risk percentage, and stop-loss levels, while displaying multiple take-profit targets with customizable risk-reward ratios. Key Features Position Sizing & Risk Management: Automatic position size calculation based on account size and risk percentage Support for leveraged trading with maximum leverage limits Fractional shares support for brokers that allow partial share trading Real-time fee calculation including entry, stop-loss, and take-profit fees Break-even price calculation including trading fees Multi-Target Profit Management: Support for up to 3 take-profit levels with individual portion allocations Customizable risk-reward ratios for each take-profit target Visual profit/loss zones displayed as colored boxes on the chart Individual profit calculations for each take-profit level Visual Dashboard: Clean, customizable table display showing all key metrics Configurable label positioning and styling options Real-time tracking of whether stop-loss or take-profit levels have been reached Color-coded visual zones for easy identification of risk and reward areas Advanced Configuration: Comprehensive input validation and error handling Support for different chart timeframes and symbols Customizable colors, fonts, and display options Hide/show individual data fields for personalized dashboard views How to Use Set Account Parameters: Configure your account size, maximum risk percentage per trade, and trading fees in the "Account Settings" section. Define Trade Setup: Use the "Entry" time picker to select your entry point on the chart, then input your entry price and stop-loss level. Configure Take Profits: Set your desired risk-reward ratios and portion allocations for each take-profit level. The script supports 1-3 take-profit targets. Analyze Results: The dashboard will automatically calculate and display position size, number of shares, potential profits/losses, fees, and break-even levels. Visual Confirmation: Colored boxes on the chart show profit zones (green) and loss zones (red), with lines extending to current price levels. Reset Entry and SL: You can easily reset the entry and stop-loss by clicking the "Reset points..." button from the script's "More" menu. This is useful if you want to quickly clear your current trade setup and start fresh without manually adjusting the points on the chart. Calculations The script performs sophisticated calculations including: Position size based on risk amount and price difference between entry and stop-loss Leverage requirements and position amount calculations Fee-adjusted risk-reward ratios for realistic profit expectations Break-even price including all trading costs Individual profit calculations for partial position closures Detailed Take-Profit Calculation Formula: The take-profit prices are calculated using the following mathematical formula: // Core variables: // risk_amount = account_size * (risk_percentage / 100) // total_risk_per_share = |entry_price - sl_price| + (entry_price * fee%) + (sl_price * fee%) // shares = risk_amount / total_risk_per_share // direction_factor = 1 for long positions, -1 for short positions // Take-profit calculation: net_win = total_risk_per_share * shares * RR_ratio tp_price = (net_win + (direction_factor * entry_price * shares) + (entry_price * fee% * shares)) / (direction_factor * shares - fee% * shares) Step-by-step example for a long position (based on screenshot): Account Size: 2,000 USDT, Risk: 2% = 40 USDT Entry: 102,062.9 USDT, Stop Loss: 102,178.4 USDT, Fee: 0.06% Risk per share: |102,062.9 - 102,178.4| + (102,062.9 × 0.0006) + (102,178.4 × 0.0006) = 115.5 + 61.24 + 61.31 = 238.05 USDT Shares: 40 ÷ 238.05 = 0.168 shares (rounded to 0.17 in display) Position Size: 0.17 × 102,062.9 = 17,350.69 USDT Position Amount (with 9x leverage): 17,350.69 ÷ 9 = 1,927.85 USDT For 2:1 RR: Net win = 238.05 × 0.17 × 2 = 80.94 USDT TP1 price = (80.94 + (1 × 102,062.9 × 0.17) + (102,062.9 × 0.0006 × 0.17)) ÷ (1 × 0.17 - 0.0006 × 0.17) = 101,464.7 USDT For 3:1 RR: TP2 price = 101,226.7 USDT (following same formula with RR=3) This ensures that after accounting for all fees, the actual risk-reward ratio matches the specified target ratio. Risk Management Features Maximum Trade Amount: Optional setting to limit position size regardless of account size Leverage Limits: Built-in maximum leverage protection Fee Integration: All calculations include realistic trading fees for accurate expectations Validation: Automatic checking that take-profit portions sum to 100% Historical Tracking: Visual indication when stop-loss or take-profit levels are reached (within last 5000 bars) Understanding Max Trade Amount - Multiple Simultaneous Trades: The "Max Trade Amount" feature is designed for traders who want to open multiple positions simultaneously while maintaining proper risk management. Here's how it works: Key Concept: - Risk percentage (2%) always applies to your full Account Size - Max Trade Amount limits the capital allocated per individual trade - This allows multiple trades with full risk on each trade Example from Screenshot: Account Size: 2,000 USDT Max Trade Amount: 500 USDT Risk per Trade: 2% × 2,000 = 40 USDT per trade Stop Loss Distance: 0.11% from entry Result: Position Size = 17,350.69 USDT with 35x leverage Total Risk (including fees): 40.46 USDT Multiple Trades Strategy: With this setup, you can open: Trade 1: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 2: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 3: 40 USDT risk, 495.73 USDT position amount (35x leverage) Trade 4: 40 USDT risk, 495.73 USDT position amount (35x leverage) Total Portfolio Exposure: - 4 simultaneous trades = 4 × 495.73 = 1,982.92 USDT position amount - Total risk exposure = 4 × 40 = 160 USDT (8% of account)
Wskaźnik Pine Script®
od HllN