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package.json
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41 lines (41 loc) · 1.58 KB
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{
"name": "ml_engine",
"version": "1.0.0",
"description": "<p align=\"center\"> <h1 align=\"center\">ML Engine</h1> <p align=\"center\"> <strong>Modular Ensemble FX Trading Bot</strong> </p> <p align=\"center\"> A professional-grade machine learning system for Forex trading with multi-model ensemble architecture, optimized for Apple Silicon. </p> </p>",
"main": "index.js",
"directories": {
"test": "tests"
},
"scripts": {
"scan": "python buddy_scanner.py scan",
"watch": "python buddy_scanner.py watch",
"trade": "python buddy_scanner.py trade",
"learn": "python buddy_scanner.py learn",
"setup": "pip install -r requirements.txt",
"setup:tf": "pip install -r requirements_tf_metal.txt",
"test": "python -m pytest tests/ -v"
},
"repository": {
"type": "git",
"url": "git+https://github.com/Raynergy-svg/ml_engine.git"
},
"keywords": [],
"author": "",
"license": "ISC",
"type": "commonjs",
"bugs": {
"url": "https://github.com/Raynergy-svg/ml_engine/issues"
},
"homepage": "https://github.com/Raynergy-svg/ml_engine#readme",
"devDependencies": {
"@anthropic-ai/claude-code": "^2.1.5",
"@modelcontextprotocol/inspector": "^0.18.0",
"@modelcontextprotocol/sdk": "^1.25.2",
"@modelcontextprotocol/server-filesystem": "^2025.12.18",
"@modelcontextprotocol/server-github": "^2025.4.8",
"@modelcontextprotocol/server-memory": "^2025.11.25",
"@modelcontextprotocol/server-sequential-thinking": "^2025.12.18",
"@notionhq/notion-mcp-server": "^2.0.0",
"@upstash/context7-mcp": "^2.1.0"
}
}