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# FxMathQuant Web - AI-Powered Strategy Generator
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🚀 **Generate profitable trading strategies using Genetic Algorithms - 100% in your browser!**
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## Features
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✅ **Client-Side Processing** - Everything runs in your browser, no server needed
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✅ **AI-Powered** - Genetic Algorithm evolves profitable trading strategies
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✅ **Fast Backtesting** - Optimized JavaScript with typed arrays
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✅ **MQ4/MQ5 Export** - Generate ready-to-use MetaTrader Expert Advisors
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✅ **HTML Reports** - Beautiful performance reports with interactive charts
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✅ **GitHub Pages Ready** - Host for FREE on GitHub Pages
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## How It Works
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1. **Upload CSV Data** - Export OHLC data from MT4/MT5 and upload
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2. **Configure GA** - Set population, generations, and performance filters
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3. **Generate Strategies** - AI evolves profitable trading strategies
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4. **Download Code** - Get MQ4, MQ5, and HTML reports
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## Quick Start
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### Option 1: Local Development
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```bash
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# Clone or download this folder
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cd FxMathQuant-Web
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# Serve with any HTTP server
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python -m http.server 8000
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# or
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npx serve
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# Open browser
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open http://localhost:8000
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```
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### Option 2: GitHub Pages (Recommended)
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1. **Create GitHub Repository**
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```bash
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git init
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git add .
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git commit -m "Initial commit"
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git branch -M main
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git remote add origin https://github.com/yourusername/fxmathquant-web.git
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git push -u origin main
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```
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2. **Enable GitHub Pages**
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- Go to repository Settings → Pages
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- Source: Deploy from branch `main`
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- Folder: `/ (root)`
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- Save
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3. **Access Your App**
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- URL: `https://yourusername.github.io/fxmathquant-web/`
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## Preparing Data
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### MT4/MT5 Data Export
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Create a simple EA to export OHLC data:
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**MT4 Script (SaveOHLC.mq4):**
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```mql4
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//+------------------------------------------------------------------+
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//| Script to export OHLC data to CSV |
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//+------------------------------------------------------------------+
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void OnStart()
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{
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string filename = Symbol() + "_" + PeriodToString() + ".csv";
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int handle = FileOpen(filename, FILE_WRITE|FILE_CSV);
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if(handle != INVALID_HANDLE)
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{
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FileWrite(handle, "time", "open", "high", "low", "close");
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int bars = iBars(Symbol(), Period());
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for(int i = bars - 1; i >= 0; i--)
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{
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FileWrite(handle,
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TimeToString(iTime(Symbol(), Period(), i)),
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iOpen(Symbol(), Period(), i),
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iHigh(Symbol(), Period(), i),
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iLow(Symbol(), Period(), i),
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iClose(Symbol(), Period(), i)
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);
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}
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FileClose(handle);
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Print("Data exported to: ", filename);
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}
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}
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string PeriodToString()
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{
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switch(Period())
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{
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case PERIOD_M1: return "M1";
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case PERIOD_M5: return "M5";
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case PERIOD_M15: return "M15";
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case PERIOD_M30: return "M30";
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case PERIOD_H1: return "H1";
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case PERIOD_H4: return "H4";
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case PERIOD_D1: return "D1";
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default: return "Unknown";
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}
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}
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```
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**MT5 Script (SaveOHLC.mq5):**
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```mql5
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//+------------------------------------------------------------------+
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//| Script to export OHLC data to CSV |
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//+------------------------------------------------------------------+
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void OnStart()
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{
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string filename = _Symbol + "_" + PeriodToString() + ".csv";
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int handle = FileOpen(filename, FILE_WRITE|FILE_CSV);
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if(handle != INVALID_HANDLE)
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{
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FileWrite(handle, "time", "open", "high", "low", "close");
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int bars = Bars(_Symbol, _Period);
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datetime time[];
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double open[], high[], low[], close[];
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CopyTime(_Symbol, _Period, 0, bars, time);
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CopyOpen(_Symbol, _Period, 0, bars, open);
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CopyHigh(_Symbol, _Period, 0, bars, high);
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CopyLow(_Symbol, _Period, 0, bars, low);
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CopyClose(_Symbol, _Period, 0, bars, close);
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for(int i = bars - 1; i >= 0; i--)
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{
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FileWrite(handle,
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TimeToString(time[i]),
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open[i],
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high[i],
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low[i],
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close[i]
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);
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}
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FileClose(handle);
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Print("Data exported to: ", filename);
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}
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}
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string PeriodToString()
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{
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switch(_Period)
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{
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case PERIOD_M1: return "M1";
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case PERIOD_M5: return "M5";
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case PERIOD_M15: return "M15";
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case PERIOD_M30: return "M30";
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case PERIOD_H1: return "H1";
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case PERIOD_H4: return "H4";
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case PERIOD_D1: return "D1";
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default: return "Unknown";
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}
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}
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```
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## Configuration Guide
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### GA Parameters
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| Parameter | Recommended | Description |
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|-----------|-------------|-------------|
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| Population | 100-200 | Strategies per generation |
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| Generations | 50-100 | Evolution cycles |
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| Strategies to Find | 5-10 | Target number of strategies |
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### Performance Filters
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| Filter | Recommended | Description |
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|--------|-------------|-------------|
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| Min Profit Factor | 1.5-2.0 | Minimum PF required |
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| Min Win Rate | 45-55% | Minimum win rate |
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| Max Drawdown | 20-30% | Maximum acceptable DD |
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| Min Trades | 30-50 | Minimum trade count |
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## Performance
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- **Processing Speed:** ~50-100 strategies/second (depends on device)
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- **Recommended Data Size:** 1,000-5,000 bars
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- **Browser Support:** Chrome, Firefox, Safari, Edge (latest versions)
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## Technical Stack
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- **Frontend:** Vanilla HTML5 + JavaScript (no frameworks)
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- **Charts:** Chart.js 4.4.0
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- **CSV Parsing:** PapaParse 5.4.1
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- **Styling:** Custom CSS with dark theme
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- **Hosting:** GitHub Pages compatible
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## Project Structure
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```
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FxMathQuant-Web/
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├── index.html # Main page
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├── css/
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│ └── style.css # Styles
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├── js/
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│ ├── main.js # App controller
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│ ├── strategy.js # Strategy class
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│ ├── backtester.js # Backtesting engine
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│ ├── ga-engine.js # Genetic Algorithm
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│ ├── mq4-generator.js # MQ4 code generator
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│ ├── mq5-generator.js # MQ5 code generator
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│ └── report-generator.js # HTML report generator
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└── README.md
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```
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## Browser Compatibility
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✅ Chrome 90+
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✅ Firefox 88+
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✅ Safari 14+
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✅ Edge 90+
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## Limitations
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- **Dataset Size:** Recommended max 5,000 bars for optimal performance
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- **Processing Time:** Depends on device CPU (slower on mobile)
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- **Storage:** All data stays in browser (not saved to server)
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## FAQ
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**Q: Is my data sent to a server?**
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A: No! Everything runs 100% in your browser. Your data never leaves your device.
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**Q: Can I use this offline?**
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A: Yes, once loaded. Download the files and open `index.html` locally.
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**Q: How accurate is the backtesting?**
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A: Very accurate. Uses the same logic as the Python version with ATR-based SL/TP.
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**Q: Can I modify the generated MQ4/MQ5 code?**
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A: Yes! The code is clean and well-commented for easy customization.
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## Support
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- **Website:** https://fxmathquant.com
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- **Email:** support@fxmath.com
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- **GitHub:** https://github.com/yourusername/fxmathquant-web
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## License
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© 2025 FxMathQuant. All rights reserved.
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## Disclaimer
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⚠️ **Trading Risk Warning**
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Trading forex and CFDs carries a high level of risk. Past performance is not indicative of future results. Always test strategies on demo accounts before live trading. Never invest more than you can afford to lose.
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---
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**Made with ❤️ by FxMathQuant**
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