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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®策略
由ssun_6提供
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®策略
由ssun_6提供
Volatility Trend FollowerThe script combines several classic technical analysis techniques: SuperTrend / Adaptive Band - The main idea comes from the SuperTrend indicator, which uses ATR (Average True Range) to create a trailing band that adapts to volatility ATR (Average True Range) - A volatility measure developed by J. Welles Wilder Jr. EMA (Exponential Moving Average) - Used as a global trend filter Heikin Ashi - An option to smooth prices and reduce noise
Pine Script®策略
由Benji1302提供
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®策略
由mbedaiwi2提供
AlphaGen ME V.15.12AlphaGen ME V.15.10 is an ATR-based trend-following strategy with dynamic trailing stops and EMA filter, designed for automated Crypto perpetual trading. Core Logic: • ATR Trailing Stops: Dynamically adjusts stop-loss using ATR(10) × 3.0 multiplier • 200 EMA Trend Filter: Optional Only takes longs above EMA, shorts below EMA • Reversal System: Flips positions when trend changes (filter-aware) • MACD Acceleration Exit: Optional momentum-based profit taking Position Sizing Modes: • Simple % of Equity (default 90%) - Safe leverage control • Risk % of Equity - Fixed risk per trade • Fixed Contract Size - Consistent lot sizing Webhook Integration: Routes signals directly to AlphaGen-AI for execution on: • Hyperliquid DEX • AsterDEX Requirements: • AlphaGen-AI Pro subscription for webhook routing • Hyperliquid or AsterDEX Wallets • TradingView alerts configured with passphrase Risk Disclosure: Trading involves substantial risk. Past performance does not guarantee future results. Only trade with capital you can afford to lose.
Pine Script®策略
由AlphaGenAI_app提供
Quantum X StrategyQuantum X Strategy Designed for: MIDCPNIFTY (15-minute timeframe) 🔍 Overview Quantum X Strategy is a structured, rule-driven trading framework built to identify directional strength and controlled trend phases. The strategy evaluates market behavior through a layered confirmation model and executes trades only when multiple internal conditions align. 🧠 Concept (High-Level Only — Safe for Publishing) Quantum X uses a multi-filter decision engine that reacts to trend formation, momentum alignment, and market stability. To maintain the script’s confidentiality, the internal formula, thresholds, and sequencing logic remain intentionally abstracted. What users need to know: It filters weak trend phases It waits for synchronized directional confirmation It avoids entries in unstable or noisy price zones It focuses on capturing structured intraday swings (TradingView fully allows this level of conceptual explanation.) ⚙️ How the Strategy Operates Without revealing internal code, here is the functional behavior: Evaluates directional bias with layered filters Confirms market strength before execution Automates both entry and exit management Applies time-based and condition-based protective rules Works best in instruments that show clean intraday rotation 📌 Intended Use While users may experiment freely, this strategy is designed for MIDCPNIFTY on the 15-minute timeframe, as the internal structure aligns well with this instrument’s behavior pattern. 🛡️ Important Notes This script is for research and systematic testing. No future returns or performance are guaranteed. Users should validate settings before applying in live markets. All internal logic is protected by closed-source compilation.
Pine Script®策略
由AlgoVisionX提供
Cerber Strategy ETH/BTC Cerber Strategy: High-Precision Crypto Trend Follower The Cerber Strategy is a low-frequency, high-conviction trend following system designed to capture massive quarterly crypto moves while filtering out 90% of consolidation noise. It combines a momentum-based "Sniper Entry" (entering only on verified breakouts) with a "Trend Confirmation" filter (Weekly DEMA) to ensure capital is only deployed during macro bull runs. Usage: * Timeframe: Daily (1D) mandatory. * Assets: Optimized for BTC and ETH, works on high-volatility alts. * Style: Position Trading (holding for weeks/months). * Risk: Extremely high efficiency (high Profit Factor), very low drawdown compared to Buy & Hold. Perfect for a "Set and Forget" portfolio allocation.
Pine Script®策略
由Crypto3888提供
StrategyScript77 Is a rule-based strategy built on top of an Ichimoku based engine. Ichimoku concepts are used as the backbone for trend and momentum filtering, so the strategy tends to stay on the side of the dominant move instead of fighting it. The name “Super77” comes from the behavior I consistently observed in testing because the win rate tends to hover around the 70–80% range, often clustering around ~77% when used as intended. It’s not a promise or guarantee, but it reflects the core design philosophy: frequent, relatively small but steady wins, with controlled and manageable losses. Trading Style – Built for Conservative Traders Super77 is intentionally designed for traders who prefer a conservative and calm approach: Entries only at bar close The strategy waits for bar close confirmation before entering a position. No intrabar guessing, no chasing half-formed signals. If the signal is still valid at close, only then will it enter. Exits automated on bar close Exits are also managed on bar close, which makes the logic transparent, easy to review on the chart, and more robust in backtesting compared to tick-based or intrabar hacks. Semi-auto friendly If you like to keep some discretion, you can treat it as semi-automatic: Let the strategy generate entry signals Manually cancel or skip certain trades if market context changes (news, extreme volatility, etc.) This combination makes Super77 suitable for traders who don’t want to stare at the screen all day but still want structure and automation. How to Use Works best with bar-close execution (avoid trying to simulate intrabar fills if you want consistent behavior). Designed for conservative, trend-aligned trading, not for hyper-scalping or news gambling. Can be used as: Fully automated (let all entries/exits trigger on bar close), or Semi-automated (use alerts/signals but manually cancel some entries). Step-by-Step: Automation with Cornix (Webhook Setup) You can automate Super77 using Cornix by connecting TradingView alerts to your Cornix group via webhook. Note: Exact button names may differ slightly depending on Cornix / TradingView updates, but the flow is always the same: Cornix group → get webhook URL & mapping → TradingView alerts → signals sent to Cornix. (Optional) Map specific pairs / directions If you use UUID / signal mapping per symbol and per side (long/short), set them up in Cornix according to your own template. Super77 can be used either: On a single pair (simple setup), or On multiple pairs if your alert / webhook structure supports that. So you can pick many pairs with 1 script. Final Notes & Disclaimer Super77 is an educational and experimental trading tool, not financial advice. Past performance in back tests does not guarantee future results. Always: Test on demo or paper first Adjust risk to match your own profile Accept that losses and drawdowns are a natural part of any strategy If you’re looking for a strategy that reflects a conservative, confirmation-based trading style with a focus on steady win rate and smoother equity behavior, Super77 was built exactly with that mindset in mind.
Pine Script®策略
由Gui-YW提供
Hash Ratings EngineHash Ratings Engine - Technical Consensus Strategy A systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management. What It Does This strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market. Key Features Trend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades. ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions. Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts. Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out. Settings Guide Indicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals. Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion. Entry Thresholds Strong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6. Risk Management ATR Period: 12 is responsive, 14 is standard, 20+ is smoother. Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide. Trail Activation: How far price must move in profit before trailing begins. Trail Offset: How closely the trail follows price. Trend Filter EMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily. Trade Timing Cooldown: Keep enabled. 5 bars is a good starting point. Best Practices Start with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance. Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes. Disclaimer Past performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.
Pine Script®策略
由Hash_Capital提供
BTC Dynamic Volatility Trend Backtested from 2017 to present, this strategy has delivered a staggering 7100%+ cumulative return. It doesn't just track the market; it dominates it. By capturing major trends and strictly limiting drawdowns, it has significantly outperformed the standard 'Buy & Hold' BTC strategy, proving its ability to generate massive alpha across multiple bull and bear cycles. 自 2017 年至今，本策略实现了惊人的 7100%+ 累计收益率。它不仅仅是跟随市场，更是超越了市场。通过精准捕捉主升浪并严格控制回撤，该策略在穿越多轮牛熊周期后，大幅度跑赢了比特币‘买入持有’（Buy & Hold）的基准收益，展现了极致的阿尔法（Alpha）捕捉能力。" Introduction ：Simplicity is the ultimate sophistication. This strategy is designed specifically for Bitcoin (BTC), capturing its unique characteristics: high volatility, frequent fakeouts, and massive trend persistence. It abandons complex indicators in favor of a robust logic: "Follow the Trend, Filter the Noise, Let Profits Run." Core Logic Trend Filter (Fibonacci EMA 144): We use the 144-period Exponential Moving Average as the baseline. Longs are only taken above this line, and shorts only below. This keeps you on the right side of the major trend. Volatility Breakout (Donchian Channel 20): Entries are triggered only when price breaks the 20-day high (for longs) or low (for shorts). This confirms momentum and avoids trading in chop. Dynamic Risk Management (ATR Chandelier Exit): Instead of fixed % stops, we use Average True Range (ATR) to calculate stop losses. The Ratchet Mechanism: The stop loss moves up with the price but never moves down (for longs). This locks in profits automatically as the trend develops and exits immediately when volatility turns against you. Why Use This Strategy? Zero Repainting: All signals are confirmed. No Curve Fitting: Uses classic parameters (144, 20) that have worked for decades. Mental Peace: The strategy handles the exit. You don't need to guess where to sell. It holds through minor corrections and exits only when the trend truly reverses. Settings Leverage %: Adjust your position size based on equity (default 100% = 1x). Timeframe: Recommended for 4H charts. 中文版 (Chinese Version) 简介 ：大道至简。本策略专为 比特币 (BTC) 设计，针对其高波动、假突破多但趋势爆发力强的特点，摒弃了复杂的过度拟合指标，回归交易本质：“顺大势，滤噪音，截断亏损，让利润奔跑”。 核心逻辑 趋势过滤器 (斐波那契 EMA 144)： 使用 144 周期指数移动平均线作为多空分水岭。价格在均线之上只做多，之下只做空。这能有效过滤掉大部分震荡市的噪音。 波动率突破 (唐奇安通道 20)： 只有当价格突破过去 20 根 K 线的最高价（做多）或最低价（做空）时才进场。这确保了我们只在趋势确立的瞬间入场。 动态风控 (ATR 吊灯止损)： 拒绝固定点数止损，使用 ATR（平均真实波幅）根据市场热度动态计算安全距离。 棘轮机制： 止损线会跟随价格上涨而上移，但绝不会下移（做多时）。这实现了自动化的“利润锁定”，既能扛住正常的波动回调，又能在大势反转时果断离场。 策略优势 绝不重绘： 所有信号均为收盘确认或实时触价。 拒绝拟合： 使用经过数十年市场验证的经典参数组合。 心态管理： 策略全自动管理出场。你不需要纠结何时止盈，它会帮你吃到完整的鱼身，直到趋势结束。 使用建议 资金管理： 可通过参数调整仓位占比（默认 100% = 1倍杠杆）。 推荐周期： 建议在4小时 图表上运行效果最佳。
Pine Script®策略
由GinsTradingRoom提供
US Market Long Horizon Momentum Summary in one paragraph US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative. Scope and intent • Markets. Large cap US equity indices, liquid US index ETFs, index futures • Timeframes. 4h/ Daily charts • Default demo used in the publication. SPY on 4h timeframe chart • Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch. • Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise. • Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history. • Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data. Method overview in plain language The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters. Base measures Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled. Components • Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself. • Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled. • Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting. Fusion rule The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction. Signal rule • Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long. • Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead. • Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat. • In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes. Inputs with guidance Setup • Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise. • Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument. Logic • Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting. Internal risk parameters (not exposed as inputs in this version) are: • Target Vol (annual). Target annual volatility for volatility targeting, default 0.2. • Vol Lookback (days). Window for realised volatility, default 63 trading days. • Max Leverage. Cap on leverage when volatility targeting is enabled, default 2. Usage recipes Swing continuation • Signal timeframe. Use the daily chart. • Benchmark symbol. Leave at SPY for US equity index exposure. • Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias. Properties visible in this publication • Initial capital. 100000 • Base currency. USD • Default order size method. 5% of the total capital in this example • Pyramiding. 0 • Commission. 0.03 percent • Slippage. 3 ticks • Process orders on close. On • Bar magnifier. Off • Recalculate after order is filled. Off • Calc on every tick. Off • All request.security calls use lookahead = barmerge.lookahead_off Realism and responsible publication The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions. Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence. Honest limitations and failure modes • Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line. • Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again. • The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise. • The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable. Legal Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Pine Script®策略
由exlux提供
VWAP Pullback + BOS + OBV v2 (Crypto Futures 15m)This strategy combines VWAP pullbacks, break-of-structure entries, and OBV confirmation to catch high-quality trend continuation moves on crypto futures. It waits for price to trend above or below the 200 EMA, then pulls back into the VWAP band, signaling a potential reload zone. A trade only triggers when price breaks recent structure in the direction of the trend and OBV shows supportive volume flow. An ATR volatility filter blocks entries during choppy, low-energy periods, and all trades use an ATR stop-loss with fixed reward-to-risk targeting. The result is a cleaner, more disciplined trend-following system designed for 15m–30m BTC/ETH scalping.
Pine Script®策略
由tino_carideo提供
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works Long entries trigger when: - RSI reaches oversold levels, and - At least one bullish candle closes inside the lower Bollinger Band Short entries trigger when: - RSI reaches overbought levels, and - At least one bearish candle closes inside the upper Bollinger Band This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band. Important Disclaimer This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether. For best results, combine this script with: - Price action - Market structure - Higher-timeframe trend context - Previous day/week/month highs & lows - Untested liquidity levels or imbalance zones - Session timing (Asia, London, NY) Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Pine Script®策略
由krishnaperi95提供
3
Robrechtian Long-Medium Breakout Trend SystemRobrechtian Long–Medium-Term Breakout Trend System A professional, rule-based trend-following strategy designed to capture large, sustained price movements using pure price action and breakouts. This system follows long-established trend-following philosophy: no prediction, no volatility targeting, and no profit targets. Only disciplined entries, position additions, and exits driven entirely by trend structure. Core Principles Breakout-driven entries: Initial positions are taken only when price breaks above/below the 80-day Donchian channel, confirming a long–medium-term trend shift. Short-term confirmation: Breakouts must also exceed the 20-day channel, reducing false positives. Trend-direction filter: A 50-day moving average slope filter ensures alignment with the broader trend. Explosive bar filter: Entries avoid excessively large, single-candle expansions (>2.5× ATR(20)) to prevent chasing exhaustion spikes. Pyramiding into strength: Additional units are added only when price makes fresh 20-day breakouts in the direction of the trend. No scaling out. No adding on dips. Exit only on trend violation: Positions are closed exclusively when price breaks the opposite 80-day channel. This preserves unlimited upside while enforcing disciplined exits. Pure trend philosophy: No volatility targeting, no smoothing, no discretionary overrides, no optimization for short-term performance. Intended Use This system is designed primarily for diversified futures portfolios, where diversification across dozens of globally liquid markets creates robustness and stability. However, it may also be used on individual assets for educational and analytical purposes. The system embraces the core trend-following logic: Small losses, big winners, and unlimited upside when trends persist. ⚠️ WARNINGS / DISCLAIMERS ⚠️ Warning 1 — This strategy is not optimized for single stocks The Robrechtian Trend System is designed for multi-asset futures portfolios, not single equities. Performance on individual tickers may vary greatly due to lack of diversification. ⚠️ Warning 2 — Trend following includes substantial drawdowns Deep drawdowns are a normal and expected feature of all long-term trend-following systems. The strategy does not attempt to smooth returns or manage volatility. If you seek steady, low-volatility equity curves, this system is not suitable. ⚠️ Warning 3 — No volatility targeting or risk smoothing This system intentionally avoids volatility-based position sizing. Trades may experience larger fluctuations than systems using risk parity or vol targeting. ⚠️ Warning 4 — Not financial advice This script is for educational and research purposes only. Past performance does not guarantee future results. Use at your own risk. ⚠️ Warning 5 — TradingView backtests have known limitations TradingView does not simulate: futures contract roll logic slippage real bid/ask spreads liquidity conditions limit-up/limit-down behavior Results may vary from live market execution.
Pine Script®策略
由LordRobrecht提供
Triple EMA + RSI + ATRThis comprehensive trading system combines triple EMA alignment, RSI momentum filtering, and dynamic ATR-based risk management. The strategy enters positions only when fast, medium, and slow EMAs align in proper order (bullish or bearish), confirmed by RSI remaining within defined thresholds (not overbought/oversold) and a volume spike above its moving average. Exits are managed intelligently using a multi-tier approach: a fixed stop-loss based on ATR, a first profit target at a predefined risk-reward ratio, and a trailing stop that activates after reaching a second, higher profit tier. Designed for trend-following with built-in momentum and volume confirmation, it features professional order execution with configurable commission and slippage for realistic backtesting. Visual cues including colored backgrounds and signal shapes enhance chart clarity.
Pine Script®策略
由fhfsb提供
51 - By GoldmanMrBaNNathis script is a multi-timeframe alignment tool designed to help users visually compare the trend direction of a higher timeframe with the movement on a lower timeframe. The indicator simply displays when both selected timeframes are moving in the same direction based on a customizable trend-detection method (such as moving average alignment). Its purpose is to provide clarity, structure, and directional alignment for chart analysis. Users can select: A higher timeframe A lower timeframe Trend calculation method Visual display options The tool is made to support analysis only. It does not execute trades, generate financial advice, or guarantee outcomes. Always use additional independent research when making decisions.
Pine Script®策略
由Mrbanna51提供
Cat Cushion Position SizingThis strategy is for people who don’t want to guess position size every time. It looks at how volatile the market is and then tells you how many units to hold so your risk per trade stays roughly the same – whether the chart is calm or crazy. What it does Measures how “shaky” the price is day by day (volatility) Blends recent volatility with a long-term average so it doesn’t overreact to one weird day Uses your Risk per Trade (%) setting to calculate how big your position should be Adds a buffer zone so it doesn’t trade every tiny wiggle and burn commissions Shows a small performance table on the chart: • Average annual return (from backtest) • Sharpe ratio • Average drawdown per trade • Current position size as % of equity How it thinks about risk When the market is calmer → volatility is lower → position size can be bigger When the market is wild → volatility is higher → position size becomes smaller You control the “spiciness” with: • Risk per Trade (%) – how much of your equity you’re willing to risk on each position • Change Sensitivity (%) – wider buffer = fewer trades, lower costs; tighter buffer = more frequent rebalancing Good use cases Index ETFs (e.g. AMEX:SPY , NASDAQ:ACWI ) or other liquid instruments People who: • Already have a direction/idea (bullish on the index long term) • Want the position sizing to adapt automatically with volatility • Prefer “set the rules, let it run” rather than staring at the screen Inputs to pay attention to Risk per Trade (%) • Conservative: ~1–2% • Balanced: ~3–4% • Aggressive: 5%+ (handle with care) Important notes This is a position sizing / risk strategy, not a magical “always win” tool Works best when combined with: • A clear idea of what you want to trade (e.g. broad index ETFs) • A realistic risk profile (don’t just max the risk because the backtest looks better) Backtest results are not a promise of future returns Educational use only – this is not financial advice. Please test on your own, tweak to your comfort level, and don’t bet the rent money 😉 If you like systematic, “low-drama” investing (and want to spend more time chilling like a cat 🐱), this script helps the math side stay under control in the background.
Pine Script®策略
由Longtoonmaew提供
1