Infinity Algo Backtest

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█ THE PROBLEM
Most trading strategies fail because they rely on static settings that break when market conditions change. Traders spend hours manually optimizing parameters — only to see them underperform in live markets. Backtesting becomes guesswork instead of science.

█ THE SOLUTION
Infinity Algo V3.0 Backtest solves this with Auto-Tune — an optimization engine that runs 500+ parameter simulations in the background and selects the best configuration for your specific market, automatically.

Combined with multi-mode entry engines, flexible exit management, and adaptive risk controls — this is a complete backtesting system trusted by 8,000+ traders worldwide.

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█ KEY FEATURES

• ✅ 5 Entry Modes: Normal, Smart, AI, HL Sniper, AI Sniper
  
• ✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal flip
  
• ✅ 6 Take-Profit Levels with customizable partial position sizing
  
• ✅ Trailing Stop-Loss (None / Breakeven / Moving Target)
  
• ✅ Auto-Tune Optimization (Walk-Forward or Static)
  
• ✅ Pyramiding support for add-on entries
  
• ✅ Structured alert payloads for webhook automation
  
• ✅ Works on any market: Crypto, Forex, Stocks, Indices, Commodities
  

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█ WHAT MAKES INFINITY ALGO DIFFERENT

🧠 Auto-Tune Engine (The Core Innovation)
Unlike static strategies, Infinity Algo continuously backtests parameter combinations and surfaces the optimal settings for your current asset. Choose from 12 scoring metrics including Sharpe Ratio, Sortino Ratio, Profit Factor, and Win Rate.

🎯 Multi-Mode Entry System
Switch between trend-following, contrarian, and sniper modes — all within one strategy. No need to maintain multiple scripts.

🛡️ Adaptive Risk Management
Trailing SL modes that respond to your TP hits:

• Breakeven: Locks in safety after your chosen TP is reached
  
• Moving Target: Ratchets your stop to the previous TP level as profit grows
  

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█ ENTRY ENGINES 🎯

Normal + Smart (Default)

• Normal: Contrarian entries — momentum cross against the trend filter for reversal plays
  
• Smart: Trend-following entries — momentum cross with the trend filter for continuation plays
  

AI / Auto-Tune

• Automated parameter selection based on historical simulation
  
• Walk-Forward: Re-optimizes every N bars to adapt to regime changes
  
• Static: Locks in the best settings from full history
  

HL Sniper

• Trend-trigger mode for selective, high-conviction entries
  
• Fewer signals, but higher probability setups
  

AI Sniper

• Auto-Tune optimizes the Sniper configuration specifically for your market
  

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█ EXIT MODES 🚪

1) Percentage Targets

• Up to 6 TP levels (TP1…TP6) with customizable partial exits
  
• Configure both price distance (%) and position size (%) for each level
  
• Designed for scaling out rather than all-in/all-out
  

2) Signal Step-Outs

• Momentum-shift condition triggers partial exits
  
• Optional higher-timeframe confirmation
  
• "New TP Must Beat Last" prevents weak consecutive exits
  

3) Opposite Signal

• Closes/flips position when the next opposite entry signal appears
  
• Best for trend-following systems
  

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█ USE CASES

📈 Trending Markets
Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to lock in profits.

📉 Ranging / Choppy Markets
Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets work better here.

⚡ High Volatility / News Events
Use "HL Sniper" for selective entries. Fewer signals, higher conviction. Wider SL to avoid stop hunts.

🤖 Automation & Bots
Structured alert payloads work with 3Commas, Alertatron, Cornix, TradingConnector, and custom webhooks. One alert contains Entry + 6 TPs + SL.

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█ HOW TO USE 🔧

1. Apply to your chart (any timeframe, any market)
   
2. Start with Entry Signals = "Normal + Smart", Exit Mode = "Percentage"
   
3. Pick your direction (Long / Short / Both)
   
4. Adjust signal thresholds and trend filter length to match your style
   
5. Configure TP% levels and Qty% — total should sum to 100%
   
6. Enable Stop-Loss and choose a trailing mode
   
7. Set commission and slippage in Strategy Properties for realistic results
   
8. Optional: Enable Auto-Tune for adaptive optimization
   

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█ STRATEGY PROPERTIES 📊
Default settings for reproducible backtests:

• Initial capital: 10,000 USD
  
• Order size type: Cash
  
• Default order size: 10,000
  
• Process orders on close: Enabled
  
• Pyramiding: Controlled by "Allow Add-On Entries"
  

For realistic results, set commission and slippage in Strategy Properties to match your broker/exchange.

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█ ALERTS & AUTOMATION 🔔
The strategy outputs structured alert payloads compatible with:

• 3Commas, Alertatron, Cornix, TradingConnector, Wunderbit
  
• Custom webhook receivers (JSON format)
  

Setup: Create alert → Select "Order fills and alert() function calls" → Use {{strategy.order.alert_message}} placeholder

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█ WORKS ON

• Crypto
• Forex
• Stocks
• Indices
• Commodities

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█ OUR PHILOSOPHY 💡
We believe success lies in the trader, not the indicator. Infinity Algo is a decision-support tool — not a crystal ball.

Realistic Expectations:

• No strategy wins 100% of the time — Infinity Algo is no exception
  
• Auto-Tune optimizes on past data — it cannot predict the future
  
• Backtest results ≠ live results (fees, slippage, and emotions matter)
  
• Always validate with out-of-sample data before going live
  
• Use proper position sizing and risk management
  

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█ LIMITATIONS ⚠️

• Backtests are simulations — results depend on market conditions, fees, slippage, and parameters
  
• Auto-Tune can overfit if used without out-of-sample validation
  
• Multi-timeframe exit logic confirms on higher-TF bar closes (slight delay expected)
  
• Use standard candles/bars for strategy testing (avoid Heikin Ashi, Renko)
  

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█ DISCLAIMER 📜
This strategy is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
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