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docs: update README — 111 tests, analytics & tournament commands
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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README.md

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<a href="https://claude.ai"><img src="https://img.shields.io/badge/Claude_Code-compatible-blueviolet?style=flat-square" alt="Claude Code"></a>
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<img src="https://img.shields.io/badge/genes-17-gold?style=flat-square" alt="17 Genes">
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<img src="https://img.shields.io/badge/attacks-6_types-red?style=flat-square" alt="6 Attack Types">
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<img src="https://img.shields.io/badge/tests-84_passing-brightgreen?style=flat-square" alt="84 Tests">
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<img src="https://img.shields.io/badge/tests-111_passing-brightgreen?style=flat-square" alt="111 Tests">
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<a href="https://colab.research.google.com/github/0xSanei/darwinia/blob/main/notebooks/quickstart.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a>
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</p>
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python -m darwinia scan # Discover trending crypto assets
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python -m darwinia scan --volatile # Most volatile assets
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python -m darwinia scan --recommend # Recommended pairs for evolution
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python -m darwinia analytics -g 20 -p 50 # Population convergence & clustering
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python -m darwinia tournament -n 8 -g 30 # Champion round-robin leaderboard
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python -m darwinia dashboard # Web UI
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python -m darwinia info --json # System info as JSON
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```
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├── data/ # Live data fetching (Binance, CoinGecko)
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├── macro/ # Macro regime simulation and regime-aware fitness
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├── integrations/ # Skill composability layer (SkillBridge, SkillRegistry)
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└── __main__.py # CLI entry point
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├── analytics/ # Population statistics, clustering, diversity metrics
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└── __main__.py # CLI entry point (12 commands)
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dashboard/ # Streamlit visualization (4 pages)
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scripts/ # Competitor monitoring, utilities
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```bash
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make setup # Install dependencies
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make test # Run 84 tests
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make test # Run 111 tests
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make evolve # Run 50 generations
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make arena # Adversarial arena
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make dashboard # Streamlit dashboard

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