Seamless MQL5 indicator translation to Python with autonomous validation and self-correction.
When to Use This Skill
Use this skill when the user wants to:
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Export market data or indicator values from MetaTrader 5
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Translate MQL5 indicators to Python implementations
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Validate Python indicator accuracy against MQL5 reference
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Understand MQL5-Python workflow capabilities and limitations
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Troubleshoot common translation issues
Activation Phrases: "MQL5", "MetaTrader", "indicator translation", "Python validation", "export data", "mql5-crossover workspace"
Core Mission
Main Theme: Make MQL5-Python translation as seamless as possible through:
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Autonomous workflows (headless export, CLI compilation, automated validation)
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Validation-driven iteration (>=0.999 correlation gates all work)
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Self-correction (documented failures prevent future mistakes)
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Clear boundaries (what works vs what doesn't, with alternatives)
Project Root: /Users/terryli/Library/Application Support/CrossOver/Bottles/MetaTrader 5/drive_c
Workspace Capabilities Matrix
WHAT THIS WORKSPACE CAN DO
1. Automated Headless Market Data Export (v3.0.0)
Status: PRODUCTION (0.999920 correlation validated)
What It Does:
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Fetches OHLCV data + built-in indicators (RSI, SMA) from any symbol/timeframe
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True headless via Wine Python + MetaTrader5 API
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No GUI initialization required (cold start supported)
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Execution time: 6-8 seconds for 5000 bars
Command Example:
CX_BOTTLE="MetaTrader 5" \
WINEPREFIX="$HOME/Library/Application Support/CrossOver/Bottles/MetaTrader 5" \
wine "C:\\Program Files\\Python312\\python.exe" \
"C:\\users\\crossover\\export_aligned.py" \
--symbol EURUSD --period M1 --bars 5000
Use When: User needs automated market data exports without GUI interaction
Limitations: Cannot access custom indicator buffers (API restriction)
Reference: /docs/guides/WINE_PYTHON_EXECUTION.md
Reference Documentation
For detailed information, see:
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Capabilities Detailed - In-depth capability documentation
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Complete Workflows - End-to-end user workflows
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Troubleshooting & Errors - Requirements, assumptions, error patterns
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Validation Metrics - Success metrics and version history