smithery/terrylica

python-workspace

Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.

Installation

$ npx skills add smithery/terrylica --skill python-workspace

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsBash, Read, Write

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,694 B
  • docs SUMMARY.md 126 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

MQL5-Python Translation Workspace Skill

Seamless MQL5 indicator translation to Python with autonomous validation and self-correction.


Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

Use this skill when the user wants to:

  • Export market data or indicator values from MetaTrader 5
  • Translate MQL5 indicators to Python implementations
  • Validate Python indicator accuracy against MQL5 reference
  • Understand MQL5-Python workflow capabilities and limitations
  • 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:

  1. Autonomous workflows (headless export, CLI compilation, automated validation)
  2. Validation-driven iteration (>=0.999 correlation gates all work)
  3. Self-correction (documented failures prevent future mistakes)
  4. Clear boundaries (what works vs what doesn't, with alternatives)

Project Root: ~/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:

  • Fetches OHLCV data + built-in indicators (RSI, SMA) from any symbol/timeframe
  • True headless via Wine Python + MetaTrader5 API
  • No GUI initialization required (cold start supported)
  • 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/WINEPYTHONEXECUTION.md


Reference Documentation

For detailed information, see:

  • [Capabilities Detailed](./references/capabilities-detailed.md) - In-depth capability documentation
  • [Complete Workflows](./references/workflows-complete.md) - End-to-end user workflows
  • [Troubleshooting & Errors](./references/troubleshooting-errors.md) - Requirements, assumptions, error patterns
  • [Validation Metrics](./references/validation-metrics.md) - Success metrics and version history

Troubleshooting

Issue Cause Solution
Wine Python not found CrossOver/Wine not installed Install CrossOver, verify bottle path
MT5 API connection failed MetaTrader not running Launch MetaTrader 5 before running export
Correlation below 0.999 Indicator mismatch Verify warmup periods, check calculation alignment
Custom indicator not working API restriction Use CSV export from MT5, not Python API
UnicodeDecodeError Windows path encoding Use raw strings for Windows paths in Wine
Symbol not found Wrong symbol format Use exact MT5 symbol name (e.g., EURUSD not EUR/USD)
Timeout on export Too many bars requested Reduce bar count, default 5000 is safe
Permission denied Wine prefix incorrect Set WINEPREFIX to correct CrossOver bottle path

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.