feat: multi-strategy paper trader — N strategie in parallelo su testnet
- 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>
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defaults:
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capital: 1000
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position_size: 0.15
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leverage: 3
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hold_bars: 3
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poll_seconds: 60
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retrain_hours: 24
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strategies:
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- name: SQ02_antifake_vol
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asset: BTC
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tf: 15m
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enabled: true
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- name: SQ02_antifake_vol
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asset: ETH
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tf: 15m
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enabled: true
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- name: SQ01_squeeze_base
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asset: BTC
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tf: 15m
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enabled: true
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- name: ML01_squeeze_gbm
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asset: ETH
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tf: 15m
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enabled: true
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position_size: 0.15
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params:
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ml_threshold: 0.70
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bb_window: 14
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sq_threshold: 0.8
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