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2026 CHRISTMAS PRESENT CHRISTMAS PRESENT Overview The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems. Strategy Background The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation: Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control. Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action. By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction. Key Features Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern RSI Filter: Optional overbought/oversold filter to avoid extreme conditions Built-in Risk Management: Configurable stop loss and take profit levels Performance Dashboard: Real-time ROI metrics displayed on chart Full Backtesting: Strategy mode allows historical performance analysis Trading Rules LONG ENTRY BUY All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses above signal line bullish crossover 2. Price Action Confirmation: Bullish engulfing pattern forms: Current close greater than previous open Current open less than previous close Current close greater than current open 3. RSI Filter Optional: RSI less than 70 not overbought Visual Signal: Green LONG label appears below the candle SHORT ENTRY SELL All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses below signal line bearish crossover 2. Price Action Confirmation: Bearish engulfing pattern forms: Current close less than previous open Current open greater than previous close Current close less than current open 3. RSI Filter Optional: RSI greater than 30 not oversold Visual Signal: Red SHORT label appears above the candle Exit Rules Stop Loss Default 2 percent Long: Exit if price drops 2 percent below entry Short: Exit if price rises 2 percent above entry Take Profit Default 4 percent Long: Exit if price rises 4 percent above entry Short: Exit if price drops 4 percent below entry Input Parameters Indicator Settings MACD Fast Length: 12 default MACD Slow Length: 26 default RSI Length: 14 default Risk Management Use Stop Loss: Enable or disable stop loss Stop Loss percent: Percentage risk per trade default 2 percent Use Take Profit: Enable or disable take profit Take Profit percent: Target profit per trade default 4 percent Filters Use RSI Filter: Enable or disable RSI overbought oversold filter RSI Overbought: Upper threshold default 70 RSI Oversold: Lower threshold default 30 Performance Metrics The built-in dashboard displays: Net Profit: Total profit loss in currency and percentage Total Trades: Number of completed trades Win Rate: Percentage of profitable trades Profit Factor: Ratio of gross profit to gross loss Average Win Loss: Mean profit per winning losing trade Max Drawdown: Largest peak to trough decline Best Practices 1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily 2. Market Conditions: Most effective in trending markets with clear momentum 3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting 4. Combine with Context: Consider overall market trend and support resistance levels 5. Backtest First: Always backtest on your specific instrument and timeframe before live trading Risk Disclaimer This strategy is for educational purposes. Past performance does not guarantee future results. Always: Backtest thoroughly on historical data Paper trade before using real capital Use proper position sizing and risk management Never risk more than you can afford to lose Customization Tips Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent Ranging markets: Enable RSI filter to avoid false breakouts Strong trends: Disable RSI filter to catch all momentum shifts Technical Details Indicators Used: Moving Average Convergence Divergence MACD Relative Strength Index RSI Candlestick Pattern Recognition Strategy Type: Trend following with momentum confirmation Best Suited For: Stocks Forex Crypto Indices Version 1.0 Compatible with Pine Script v5
Pine Script™ 전략
hushedDiamond97573의
6
Mutanabby_AI | ONEUSDT_MR1 ONEUSDT Mean-Reversion Strategy | 74.68% Win Rate | 417% Net Profit This is a long-only mean-reversion strategy designed specifically for ONEUSDT on the 1-hour timeframe. The core logic identifies oversold conditions following sharp declines and enters positions when selling pressure exhausts, capturing the subsequent recovery bounce. Backtested Period: June 2019 – December 2025 (~6 years) Performance Summary | Metric | Value | |--------|-------| | Net Profit | +417.68% | | Win Rate | 74.68% | | Profit Factor | 4.019 | | Total Trades | 237 | | Sharpe Ratio | 0.364 | | Sortino Ratio | 1.917 | | Max Drawdown | 51.08% | | Avg Win | +3.14% | | Avg Loss | -2.30% | | Buy & Hold Return | -80.44% | Strategy Logic : Entry Conditions (Long Only): The strategy seeks confluence of three conditions that identify exhausted selling: 1. Prior Move Filter:*The price change from 5 bars ago to 3 bars ago must be ≥ -7% (ensures we're not entering during freefall) 2. Current Move Filter: The price change over the last 2 bars must be ≤ 0% (confirms momentum is stalling or reversing) 3. Three-Bar Decline: The price change from 5 bars ago to 3 bars ago must be ≤ -5% (confirms a significant recent drop occurred) When all three conditions align, the strategy identifies a potential reversal point where sellers are exhausted. Exit Conditions: - Primary Exit: Close above the previous bar's high while the open of the previous bar is at or below the close from 9 bars ago (profit-taking on strength) - Trailing Stop: 11x ATR trailing stop that locks in profits as price rises Risk Management - Position Sizing:Fixed position based on account equity divided by entry price - Trailing Stop:11× ATR (14-period) provides wide enough room for crypto volatility while protecting gains - Pyramiding:Up to 4 orders allowed (can scale into winning positions) - **Commission:** 0.1% per trade (realistic exchange fees included) Important Disclaimers ⚠️ This is NOT financial advice. - Past performance does not guarantee future results - Backtest results may contain look-ahead bias or curve-fitting - Real trading involves slippage, liquidity issues, and execution delays - This strategy is optimized for ONEUSDT specifically — results may differ on other pairs - Always test before risking real capital Recommended Usage - Timeframe:*1H (as designed) - Pair: ONEUSDT (Binance) - Account Size: Ensure sufficient capital to survive max drawdown Source Code Feedback Welcome I'm sharing this strategy freely for educational purposes. Please: - Drop a comment with your backtesting results any you analysis - Share any modifications that improve performance - Let me know if you spot any issues in the logic Happy trading As a quant trader, do you think this strategy will survive in live trading? Yes or No? And why? I want to hear from you guys
Pine Script™ 전략
Mutanabby_AI의
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.
Pine Script™ 전략
mbedaiwi2의
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Pine Script™ 전략
hayrialbayir의
Trend Vector Pro v2.0Title: Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Pine Script™ 전략
mbedaiwi2의
Trend Following $ZEC - Multi-Timeframe Structure Filter + Revers# Trend Following CRYPTOCAP:ZEC - Strategy Guide ## 📊 Strategy Overview Trend Following CRYPTOCAP:ZEC is an enhanced Turtle Trading system designed for cryptocurrency spot trading, combining Donchian Channel breakouts, multi-timeframe structure filtering, and ATR-based dynamic risk management for both long and short positions. --- ## 🎯 Core Features 1. Multi-Timeframe Structure Filtering - Uses Swing High/Low to identify market structure - Customizable structure timeframe (default: 1 minute) - Only enters trades in the direction of the trend, avoiding counter-trend positions 2. Reverse Signal Exit - No fixed stop-loss or fixed-period exits - Exits only when a reverse entry signal triggers - Maximizes trend profits, reduces premature exits 3. ATR Dynamic Pyramiding - Adds positions when price moves 0.5 ATR in favorable direction - Supports up to 2 units maximum (adjustable) - Pyramid scaling to enhance profitability 4. Complete Risk Management - Fixed position size (5000 USD per unit) - Commission fee 0.06% (Binance spot rate) - Initial capital 10,000 USD --- ## 📈 Trading Logic Entry Conditions ✅ Long Entry: - Close price breaks above 20-period high - Structure trend is bullish (price breaks above Swing High) ✅ Short Entry: - Close price breaks below 20-period low - Structure trend is bearish (price breaks below Swing Low) Add Position Conditions - Long: Price rises ≥ 0.5 ATR - Short: Price falls ≥ 0.5 ATR - Maximum 2 units including initial entry Exit Conditions - Long Exit: When short entry signal triggers (price breaks 20-period low + structure turns bearish) - Short Exit: When long entry signal triggers (price breaks 20-period high + structure turns bullish) --- ## ⚙️ Parameter Settings Channel Settings - Entry Channel Period: 20 (Donchian Channel breakout period) - Exit Channel Period: 10 (reserved parameter, actually uses reverse signal exit) ATR Settings - ATR Period: 20 - Stop Loss ATR Multiplier: 2.0 (reserved parameter) - Add Position ATR Multiplier: 0.5 Structure Filter - Swing Length: 160 (Swing High/Low calculation period) - Structure Timeframe: 1 minute (can change to 5/15/60, etc.) Position Management - Maximum Units: 2 (including initial entry) - Capital Per Unit: 5000 USD --- ## 🎨 Visualization Features Background Colors - Light Green: Bullish structure - Light Red: Bearish structure - Dark Green: Long entry - Dark Red: Short entry Optional Display (Default: OFF) - Entry/exit channel lines - Structure high/low lines - ATR stop-loss line - Next add position indicator - Entry/exit labels --- ## 📱 Alert Message Format Strategy sends notifications on entry/exit with the following format: - Entry: `1m Long EP:428.26` - Add Position: `15m Add Long 2/2 EP:429.50` - Exit: `1m Close Long Reverse Signal` Where: - `1m`/`15m` = Current chart timeframe - `EP` = Entry Price --- ## 💰 Backtest Settings Capital Allocation - Initial Capital: 10,000 USD - Per Entry: 5,000 USD (split into 2 entries) - Leverage: 0x (spot trading) Trading Costs - Commission: 0.06% (Binance spot VIP0) - Slippage: 0 --- ## 🎯 Use Cases ✅ Best Scenarios - Trending markets - Moderate volatility assets - 1-minute to 4-hour timeframes ⚠️ Not Suitable For - Highly volatile choppy markets - Low liquidity small-cap coins - Extreme market conditions (black swan events) --- ## 📊 Usage Recommendations Timeframe Suggestions | Timeframe | Trading Style | Suggested Parameter Adjustment | |-----------|--------------|-------------------------------| | 1-5 min | Scalping | Swing Length 100-160 | | 15-30 min | Short-term | Swing Length 50-100 | | 1-4 hour | Swing Trading | Swing Length 20-50 | Optimization Tips 1. Adjust swing length based on backtest results 2. Different coins may require different parameters 3. Recommend backtesting on 1-minute chart first before live trading 4. Enable labels to observe entry/exit points --- ## ⚠️ Risk Disclaimer 1. Past Performance Does Not Guarantee Future Results - Backtest data is for reference only - Live trading may be affected by slippage, delays, etc. 2. Market Condition Changes - Strategy performs better in trending markets - May experience frequent stops in ranging markets 3. Capital Management - Do not invest more than you can afford to lose - Recommend setting total capital stop-loss threshold 4. Commission Impact - Frequent trading accumulates commission fees - Recommend using exchange discounts (BNB fee reduction, etc.) --- ## 🔧 Troubleshooting Q: No entry signals? A: Check if structure filter is too strict, adjust swing length or timeframe Q: Too many labels displayed? A: Turn off "Show Labels" option in settings Q: Poor backtest performance? A: 1. Check if the coin is suitable for trend-following strategies 2. Adjust parameters (swing length, channel period) 3. Try different timeframes Q: How to set alerts? A: 1. Click "Alert" in top-right corner of chart 2. Condition: Select "Strategy - Trend Following CRYPTOCAP:ZEC " 3. Choose "Order filled" 4. Set notification method (Webhook/Email/App) --- ## 📞 Contact Information Strategy Name: Trend Following CRYPTOCAP:ZEC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025 --- ## 📄 Copyright Notice This strategy is for educational and research purposes only. All risks of using this strategy for live trading are borne by the user. Commercial use without authorization is prohibited. --- ## 🎓 Learning Resources To understand the strategy principles in depth, recommended reading: - "The Complete TurtleTrader" - Curtis Faith - "Trend Following" - Michael Covel - TradingView Pine Script Official Documentation --- Happy Trading! Remember to manage your risk 📈
Pine Script™ 전략
ssun_6의
Advanced Breakout System v2.0Advanced Breakout System v2.0 Developed by: Mohammed Bedaiwi This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure. The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength. 💡 JUSTIFICATION OF CONCEPTS (MASHUP & ORIGINALITY) This script is an original mashup combining several analytical concepts to address common breakout failures: Volatility Compression Engine: Uses built-in functions like ta.highest() and ta.lowest() to mathematically define the setup phase where price volatility is compressed below a user-defined threshold. Volume Spike Confirmation: The breakout must be confirmed by a volume increase greater than a moving average of volume, signaling strong market interest. Smart Volume Filter (OBV): This is the key component. By checking if ta.obv is above its own Moving Average, we confirm that accumulation has been occurring during the consolidation period, suggesting institutional positioning before the price break. Multi-Exit Risk System: Employs dynamic exits (EMA cross, volume dump, bearish pattern) instead of static stop-losses to manage risk adaptively based on real-time market action. Market Structure Visualization: The script also includes a Support & Resistance engine to plot key swing pivots and price labels for visual context. ✅ STRATEGY RESULTS & POLICY COMPLIANCE To ensure non-misleading and transparent backtesting results, this strategy is published with the following fully compliant properties: Dataset Compliance: The backtest is performed on the CMTL Daily (1D) chart across a long history, generating 201 total trades. This significantly exceeds the minimum requirement of 100 trades, providing a robust test dataset. Risk Control: The strategy uses a conservative order size set to 2% of equity (default_qty_value=2), strictly adhering to the sustainable risk recommendation of 5-10% of equity per trade. Transaction Costs: Realistic trading conditions are modeled using 0.07% commission and 3 ticks slippage to prevent the overestimation of profitability. ⚙️ VISUAL GUIDE & SIGNAL LOGIC Key Color Legend (Visual Guide): WATCH – Setup (Yellow Arrow Down): Potential breakout setup detected. BUY – Confirmation (Green Arrow Up): Confirmed breakout, triggered when price trades above the high of the WATCH candle. SELL – Break (Orange Arrow): Short-term trend weakness, triggered when price closes below the Fast EMA (9). SELL – Dump (Dark Red Arrow): Distribution / volume dump, triggered by a bearish candle with abnormally high volume. SELL – Pattern (Purple Arrow): Bearish price-action pattern (such as a bearish engulfing). Support & Resistance Lines (Red/Green): Small horizontal lines plotted at key swing points with exact price labels. ⌨️ INPUTS (DEFAULT SETTINGS) Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal on high-momentum moves. Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume. Support & Resistance: Adjustable Pivot Left/Right bars control the sensitivity of the support and resistance lines. ⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management. This is an open-source strategy; users are encouraged to test it across different symbols and timeframes.
Pine Script™ 전략
mbedaiwi2의
DR/IDR Break .5 TPDR/IDR Extension Breakout with Custom Stop This strategy is a systematic, counter-trend, and momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk. 1. Market Identification (The Opening Range) The strategy begins by defining the market's initial boundaries and volatility: Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time). ORB Levels: Two key price levels are established and locked once the time window closes: Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines. Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used to calculate the Take Profit and Stop Loss levels. 2. Entry Rule (The Breakout) The strategy is passive until the range is violated, looking for a strong move out of the consolidation area. Trigger Condition: A trade is signaled when a candle closes either: Above the Wick High (for a Long entry). Below the Wick Low (for a Short entry). Execution: The entry is a Market Order executed on the candle that meets the trigger condition, subject to a user-defined Entry Delay (default 0 bars, meaning the entry is taken immediately upon the breakout candle's close). Direction Control: The user can select to trade Long Only, Short Only, or Both. 3. Exit and Risk Management All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) once the entry is filled. A. Take Profit (TP) The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range). Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range. B. Stop Loss (SL) The Stop Loss is dynamically calculated based on a user-selected method for risk control: Range 0.5 (Body Range): The Stop Loss is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range. Example (Long): If entry is above the Wick High, the SL is set 0.5 times the Body Range height below the Body Low. ATR Multiple: The Stop Loss distance is determined by the asset's recent volatility. Calculation: The distance is calculated as a user-defined Multiplier (default 2.0) times the Average True Range (ATR). Recent Swing Low/High: The Stop Loss is placed based on a structural level defined by recent price action. Long Entry: SL is placed at the Lowest Swing Low within a user-defined lookback period. Short Entry: SL is placed at the Highest Swing High within a user-defined lookback period. Summary of Workflow The market sets the Wick and Body boundaries (e.g., 9:30–10:30 AM). Price breaks and closes beyond a Wick boundary, triggering a signal. The trade enters after the specified delay. A bracket order is placed: TP is fixed at the 0.5 Extension, and SL is set based on the user's chosen risk method. The trade is closed upon reaching either the TP or the SL level.
Pine Script™ 전략
ChadAnt의
ORB Strategy: Extensions & Custom SL (EOD & Live Lines)That's a great request. Since you've now built a complex Pine Script Strategy with several user-configurable risk management, targeting, and exit options, the description should focus on the systematic rules used for entering, managing, and exiting trades. Here is a clear, written description of the trading strategy you have built: Trading Strategy Description: ORB Extension Breakout with Custom Stop, Live Tracking, and EOD Exit This strategy is a systematic, momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk and enforcing a mandatory end-of-day closure. 1. Market Identification (The Opening Range) The strategy first defines the market's initial boundaries and volatility: Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time). ORB Levels: Two key price levels are established and locked once the time window closes: Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines. Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used as the basis for calculating all targets and stops. 2. Entry Rule (The Breakout) The strategy waits passively for a breakout that confirms direction and ensures the move has not yet reached its immediate target. Trigger Condition: A trade is signaled when a candle closes either: Above the Wick High (for a Long entry). Below the Wick Low (for a Short entry). Constraint (Fresh Breakout): The entry is invalidated if the breakout candle's price action (High for Long, Low for Short) has already touched or surpassed the projected Take Profit (0.5 Extension) level before the candle closes. Execution: The entry is a Market Order executed on the candle that meets the trigger conditions, subject to a user-defined Entry Delay (default 0 bars). Direction Control: The user can select to trade Long Only, Short Only, or Both. 3. Exit and Risk Management All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) upon entry. A. Take Profit (TP) The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range). Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range. B. Stop Loss (SL) The Stop Loss is dynamically calculated based on a user-selected method for risk control: Range 0.5 (Body Range): The SL is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range. ATR Multiple: The Stop Loss distance is calculated as a user-defined Multiplier times the Average True Range (ATR). Recent Swing Low/High: The Stop Loss is placed based on a structural low (for Long) or high (for Short) within a user-defined lookback period. C. End-of-Day (EOD) Exit Any open position is forced closed at the market price if it is still open when the user-defined closing time (default: 16:00 HHMM) is reached. This prevents carrying intraday risk overnight. 4. Visualization The strategy includes comprehensive visual cues for analysis: ORB Drawing: Displays the Wick High/Low and the shaded Body Range. Breakout Signals: Highlights the specific bar where the validated entry signal occurs. Closed Trades: Draws persistent lines for the Entry and Exit prices of the last few closed trades. Live Open Trades: Draws persistent lines for the current Entry Price, active Take Profit Level, and active Stop Loss Level for any open position.
Pine Script™ 전략
ChadAnt의
Strategia S&P 500 vs US10Y YieldThis strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script™ 전략
adamniestoj의
Trend Following $BTC - Multi-Timeframe Structure + ReversTREND FOLLOWING STRATEGY - MULTI-TIMEFRAME STRUCTURE BREAKOUT SYSTEM Strategy Overview This is an enhanced Turtle Trading system designed for cryptocurrency spot trading. It combines Donchian Channel breakouts with multi-timeframe structure filtering and ATR-based dynamic risk management. The strategy trades both long and short positions using reverse signal exits to maximize trend capture. Core Features Multi-Timeframe Structure Filtering The strategy uses Swing High/Low analysis to identify market structure trends. You can customize the structure timeframe (default: 3 minutes) to match your trading style. Only enters trades aligned with the identified trend direction, avoiding counter-trend positions that often lead to losses. Reverse Signal Exit System Instead of using fixed stop-losses or time-based exits, this strategy exits positions only when a reverse entry signal triggers. This approach maximizes trend profits and reduces premature exits during normal market retracements. ATR Dynamic Pyramiding Automatically adds positions when price moves 0.5 ATR in your favor. Supports up to 2 units maximum (adjustable). This pyramid scaling enhances profitability during strong trends while maintaining disciplined risk management. Complete Risk Management Fixed position sizing at 5000 USD per unit. Includes realistic commission fees of 0.06% (Binance spot rate). Initial capital set at 10,000 USD. All backtest parameters reflect real-world trading conditions. Trading Logic Entry Conditions Long Entry: Close price breaks above the 20-period high AND structure trend is bullish (price breaks above Swing High) Short Entry: Close price breaks below the 20-period low AND structure trend is bearish (price breaks below Swing Low) Position Scaling Long positions: Add when price rises 0.5 ATR or more Short positions: Add when price falls 0.5 ATR or more Maximum 2 units including initial entry Exit Conditions Long Exit: Triggers when short entry signal appears (price breaks 20-period low + structure turns bearish) Short Exit: Triggers when long entry signal appears (price breaks 20-period high + structure turns bullish) Default Parameters Channel Settings Entry Channel Period: 20 (Donchian Channel breakout period) Exit Channel Period: 10 (reserved parameter) ATR Settings ATR Period: 20 Stop Loss ATR Multiplier: 2.0 Add Position ATR Multiplier: 0.5 Structure Filter Swing Length: 300 (Swing High/Low calculation period) Structure Timeframe: 3 minutes Adjust these based on your trading timeframe and asset volatility Position Management Maximum Units: 2 (including initial entry) Capital Per Unit: 5000 USD Visualization Features Background Colors Light Green: Bullish market structure Light Red: Bearish market structure Dark Green: Long position entry Dark Red: Short position entry Optional Display Elements (Default: OFF) Entry and exit channel lines Structure high/low reference lines ATR stop-loss indicator Next position add level Entry/exit labels Alert Message Format The strategy sends notifications with the following format: Entry: "5m Long EP:90450.50" Add Position: "15m Add Long 2/2 EP:91000.25" Exit: "5m Close Long Reverse Signal" Where the first part shows your current chart timeframe and EP indicates Entry Price Backtest Settings Capital Allocation Initial Capital: 10,000 USD Per Entry: 5,000 USD (split into 2 potential entries) Leverage: 0x (spot trading only) Trading Costs Commission: 0.06% (Binance spot VIP0 rate) Slippage: 0 (adjust based on your experience) Best Use Cases Ideal Scenarios Trending markets with clear directional movement Moderate to high volatility assets Timeframes from 1-minute to 4-hour charts Best suited for major cryptocurrencies with good liquidity Not Recommended For Highly volatile choppy/ranging markets Low liquidity small-cap coins Extreme market conditions or black swan events Usage Recommendations Timeframe Guidelines 1-5 minute charts: Use for scalping, consider Swing Length 100-160 15-30 minute charts: Good for short-term trading, Swing Length 50-100 1-4 hour charts: Suitable for swing trading, Swing Length 20-50 Optimization Tips Always backtest on historical data before live trading Adjust swing length based on asset volatility and your timeframe Different cryptocurrencies may require different parameter settings Enable visualization options initially to understand entry/exit points Monitor win rate and drawdown during backtesting Technical Details Built on Pine Script v6 No repainting - uses proper bar referencing with offset Prevents lookahead bias with lookahead=off parameter Strategy mode with accurate commission and slippage modeling Multi-timeframe security function for structure analysis Proper position state tracking to avoid duplicate signals Risk Disclaimer This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Backtesting results may differ from live trading due to slippage, execution delays, and changing market conditions. The strategy performs best in trending markets and may experience drawdowns during ranging conditions. Always practice proper risk management and never risk more than you can afford to lose. It is recommended to paper trade first and start with small position sizes when going live. How to Use Add the strategy to your TradingView chart Select your desired timeframe (1m to 4h recommended) Adjust parameters based on your risk tolerance and trading style Review backtest results in the Strategy Tester tab Set up alerts for automated notifications Consider paper trading before risking real capital Tags Trend Following, Turtle Trading, Donchian Channel, Structure Breakout, ATR, Cryptocurrency, Spot Trading, Risk Management, Pyramiding, Multi-Timeframe Analysis --- Strategy Name: Trend Following BTC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025
Pine Script™ 전략
ssun_6의
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script: ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis Overview This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions. Key Innovation: Why Alt/BTC Matters Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength: When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity) When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits) This approach captures the rotation between BTC and alts that drives crypto cycles Key Features 📊 Advanced Technical Analysis RSI (60% weight): Primary momentum indicator on weekly timeframe Long-term MA Deviation (35% weight): Measures distance from 150-period baseline MACD (5% weight): Minor confirmation signal EMA Smoothing: Filters noise while maintaining responsiveness All calculations performed on Alt/BTC pairs for superior market timing 💰 3-Tier DCA System Level 1 (Risk ≤ 70): Conservative entry, base allocation Level 2 (Risk ≤ 50): Increased allocation, strong opportunity Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation Continuous buying: Executes every bar while below threshold for true DCA behavior Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined 📈 Smart Profit Management Sequential selling: Must complete L1 before L2, L2 before L3 Percentage-based exits: Sell portions of position, not fixed amounts Auto-reset on re-entry: New buy signals reset sell progression Prevents premature full exits during volatile conditions 🤖 3Commas Automation Pre-configured JSON webhooks for Custom Signal Bots Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit Flexible quote currency: USD, USDT, or BUSD Dynamic order sizing: Automatically adjusts to your tier thresholds Full webhook documentation compliance 🎨 Multi-Asset Support Pre-configured for popular altcoins: ETH (Ethereum) SOL (Solana) ADA (Cardano) LINK (Chainlink) UNI (Uniswap) XRP (Ripple) DOGE RENDER Custom option for any other crypto How It Works Risk Metric Calculation (0-100 scale): Fetches weekly Alt/BTC price data for stability Calculates RSI, MACD, and deviation from 150-period MA Normalizes MACD to 0-100 range using 500-bar lookback Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35) Applies 5-period EMA smoothing for cleaner signals Color-Coded Risk Zones: Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC Lime/Yellow (30-70): Accumulation range - favorable risk/reward Orange (70-85): Caution zone - consider taking initial profits Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking Entry Logic: Buys execute every candle when risk is below threshold As risk decreases, position sizing automatically scales up Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate Exit Logic: Sells only trigger when in profit AND risk exceeds thresholds Sequential execution ensures partial profit-taking If new buy signal occurs before all sells complete, sell levels reset to L1 Configuration Guide Choosing Your Altcoin: Select crypto from dropdown (or use CUSTOM for unlisted coins) Pick your exchange Choose quote currency (USD, USDT, BUSD) Risk Metric Tuning: Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent RSI Length (default 10): Lower = more volatile, Higher = smoother Smoothing (default 5): Increase for less noise, decrease for faster reaction Buy Settings (Aggressive DCA Example): L1 Threshold: 70 | Amount: $5 L2 Threshold: 50 | Amount: $6 L3 Threshold: 30 | Amount: $7 Total L3 buy = $18 per candle when deeply oversold Sell Settings (Balanced Exit Example): L1: 70 threshold, 25% position L2: 85 threshold, 35% position L3: 100 threshold, 40% position (final exit) 3Commas Setup Bot Configuration: Create Custom Signal Bot in 3Commas Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT) Order size: Select "Send in webhook, quote" to use strategy's dollar amounts Copy Bot UUID and Secret Token Script Configuration: Paste credentials into 3Commas section inputs Check "Enable 3Commas Alerts" Save and apply to chart TradingView Alert: Create Alert → Condition: "alert() function calls only" Webhook URL: api.3commas.io Enable "Webhook URL" checkbox Expiration: Open-ended Strategy Advantages ✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations ✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump ✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward) ✅ Emotional Discipline: Systematic approach removes fear and FOMO ✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously ✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools Backtesting Insights Optimal Timeframes: Daily chart: Best for backtesting and signal generation Weekly data is fetched internally regardless of display timeframe Historical Performance Characteristics: Accumulates heavily during bear markets and BTC dominance periods Captures explosive altcoin rallies when BTC stagnates Sequential selling preserves capital during extended downtrends Works best on established altcoins with multi-year history Risk Considerations: Requires capital reserves for extended accumulation periods Some altcoins may never recover if fundamentals deteriorate Past correlation patterns may not predict future performance Always size positions according to personal risk tolerance Visual Interface Indicator Panel Displays: Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases Horizontal threshold lines: Dashed lines mark your buy/sell levels Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells Real-time risk value: Numerical display on price scale Customization: All threshold lines are adjustable via inputs Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum) Line weights emphasize most extreme thresholds (L3 buy and L3 sell) Strategy Philosophy This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision. The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns. Advanced Tips Multi-Bot Strategy: Run this on 5-10 different altcoins simultaneously to: Diversify correlation risk Capture whichever alt is pumping Smooth equity curve through rotation Pairing with BTC Strategy: Use alongside the BTC DCA Risk Strategy for complete portfolio coverage: BTC strategy for core holdings ALT strategies for alpha generation Rebalance between them based on BTC dominance Threshold Calibration: Check 2-3 years of historical data for your chosen alt Note where risk metric sat during major bottoms (set buy thresholds) Note where it peaked during euphoria (set sell thresholds) Adjust for your risk tolerance and holding period Credits Strategy Development & 3Commas Integration: Claude AI (Anthropic) Technical Analysis Framework: RSI, MACD, Moving Average theory Implementation: pommesUNDwurst Disclaimer This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions. Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity. Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
Pine Script™ 전략
nakphanan의
BTC DCA Risk Metric StrategyBTC DCA Risk Strategy - Automated Dollar Cost Averaging with 3Commas Integration Overview This strategy combines the proven Oakley Wood Risk Metric with an intelligent tiered Dollar Cost Averaging (DCA) system, designed to help traders systematically accumulate Bitcoin during periods of low risk and take profits during high-risk conditions. Key Features 📊 Multi-Component Risk Assessment 4-Year SMA Deviation: Measures Bitcoin's distance from its long-term mean 20-Week MA Analysis: Tracks medium-term momentum shifts 50-Day/50-Week MA Ratio: Captures short-to-medium term trend strength All metrics are normalized by time to account for Bitcoin's maturing market dynamics 💰 3-Tier DCA Buy System Level 1 (Low Risk): Conservative entry with base allocation Level 2 (Lower Risk): Increased allocation as opportunity improves Level 3 (Extreme Low Risk): Maximum allocation during rare buying opportunities Buys execute every bar while risk remains below thresholds, enabling true DCA accumulation 📈 Progressive Profit Taking Sell Level 1: Take initial profits as risk increases Sell Level 2: Scale out further positions during elevated risk Sell Level 3: Final exit during extreme market conditions Sell levels automatically reset when new buy signals occur, allowing flexible re-entry 🤖 3Commas Integration Fully automated webhook alerts for Custom Signal Bots JSON payloads formatted per 3Commas API specifications Supports multiple exchanges (Binance, Coinbase, Kraken, Gemini, Bybit) Configurable quote currency (USD, USDT, BUSD) How It Works The strategy calculates a composite risk metric (0-1 scale): 0.0-0.2: Extreme buying opportunity (green zone) 0.2-0.5: Favorable accumulation range (yellow zone) 0.5-0.8: Neutral to cautious territory (orange zone) 0.8-1.0+: High risk, profit-taking zone (red zone) Buy Logic: As risk decreases, position sizes increase automatically. If risk drops from L1 to L3 threshold, the strategy combines all three tier allocations for maximum exposure. Sell Logic: Sequential profit-taking ensures you capture gains progressively. The system won't advance to Sell L2 until L1 completes, preventing premature full exits. Configuration Risk Metric Parameters: All calculations use Bitcoin price data (any BTC chart works) Time-normalized formulas adapt to market maturity No manual parameter tuning required Buy Settings: Set risk thresholds for each tier (default: 0.20, 0.10, 0.00) Define dollar amounts per tier (default: $10, $15, $20) Fully customizable to your risk tolerance and capital Sell Settings: Configure risk thresholds for profit-taking (default: 1.00, 1.50, 2.00) Set percentage of position to sell at each level (default: 25%, 35%, 40%) 3Commas Setup: Create a Custom Signal Bot in 3Commas Copy Bot UUID and Secret Token into strategy inputs Enable 3Commas Alerts checkbox Create TradingView alert: Condition → "alert() function calls only", Webhook → api.3commas.io Backtesting Results Strengths: Systematically buys dips without emotion Averages down during extended bear markets Captures explosive bull run profits through tiered exits Pyramiding (1000 max orders) allows true DCA behavior Considerations: Requires sufficient capital for multiple buys during prolonged downtrends Backtest on Daily timeframe for most reliable signals Past performance does not guarantee future results Visual Design The indicator pane displays: Color-coded risk metric line: Changes from white→red→orange→yellow→green as risk decreases Background zones: Green (buy), yellow (hold), red (sell) areas Dashed threshold lines: Clear visual markers for each buy/sell level Entry/Exit labels: Green buy labels and orange/red sell labels mark all trades Credits Original Risk Metric: Oakley Wood Strategy Development & 3Commas Integration: Claude AI (Anthropic) Modifications: pommesUNDwurst Disclaimer This strategy is for educational and informational purposes only. Cryptocurrency trading carries substantial risk of loss. Always conduct your own research and never invest more than you can afford to lose. The authors are not financial advisors and assume no responsibility for trading decisions made using this tool.
Pine Script™ 전략
nakphanan의
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Pine Script™ 전략
mbedaiwi2의
Multi-MA + RSI Pullback Strategy (Jordan)1️⃣ Strategy logic I’ll code From your screenshots: Indicators • EMAs: 600 / 200 / 100 / 50 • RSI: length 6, levels 80 / 20 Rules (simplified so a script can handle them): • Use a higher-timeframe trend filter (15m or 1h) using the EMAs. • Take entries on the chart timeframe (you can use 1m or 5m). • Long: • Higher-TF trend is up. • Price is pulling back into a zone (between 50 EMA and 100 EMA on the entry timeframe – this approximates your 50–61% retrace). • RSI crosses below 20 (oversold). • Short: • Higher-TF trend is down. • Price pulls back between 50 & 100 EMAs. • RSI crosses above 80 (overbought). • Exits: ATR-based stop + take-profit with adjustable R:R (2:1 or 3:1). • Max 4 trades per day. News filter & “only trade gold” you handle manually (run it on XAUUSD and avoid news times yourself – TradingView can’t read the economic calendar from code).
Pine Script™ 전략
jordana4r79의
Strategia S&P 500 vs US10Y Yield (od 2000)This strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script™ 전략
adamniestoj의