Adriano
b79c87e4af
- src/live/multi_runner.py: orchestratore con fetch raggruppato per asset/tf - src/live/strategy_worker.py: worker indipendente con stato persistente JSONL - src/live/strategy_loader.py: import dinamico classi Strategy - strategies.yml: config dichiarativa con defaults e override per strategia - Docker: container unico, strategies.yml montato come volume read-only - Supporta hot-add: aggiungi riga YAML + restart, storico intatto - Ogni strategia: €1000 USDC virtuale, equity tracking, Telegram notify Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
30 lines
589 B
TOML
30 lines
589 B
TOML
[project]
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name = "pythagoras-goal"
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version = "0.1.0"
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description = "Fractal pattern recognition and prediction for crypto trading (BTC, ETH)"
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requires-python = ">=3.11"
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dependencies = [
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"pandas>=2.0",
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"numpy>=1.24",
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"requests>=2.31",
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"ccxt>=4.0",
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"pyarrow>=15.0",
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"scipy>=1.11",
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"scikit-learn>=1.3",
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"torch>=2.0",
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"matplotlib>=3.7",
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"tqdm>=4.65",
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"pyyaml>=6.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.24",
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"ipython>=8.0",
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]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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asyncio_mode = "auto"
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