3fbd5eba5ebe27bbc79647beeb660e3db25b1127
Implementa AdversarialAgent con check euristici hand-crafted: no_trades (HIGH), degenerate (HIGH), overtrading/undertrading (MEDIUM). Severity come StrEnum (UP042 clean), pipeline AST -> compile -> backtest -> findings allineata a FalsificationAgent. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Multi_Swarm_Coevolutive — Phase 1
Lean spike del PoC. Vedi docs/superpowers/specs/2026-05-09-decisione-strategica-design.md
per il razionale e docs/superpowers/plans/2026-05-09-phase1-lean-spike.md per il
piano implementativo.
Setup
uv sync
cp .env.example .env # compilare token e API key
uv run pytest # verifica che tutto installi
Cerbero locale
Phase 1 backtest legge dataset OHLCV cached, ma alcune feature di indicatore sono delegate a Cerbero. Avviare Cerbero locale prima di eseguire un run:
cd /home/adriano/Documenti/Git_XYZ/CerberoSuite/Cerbero_mcp
docker compose up -d
Comandi principali
uv run pytest # tutti i test
uv run pytest tests/unit -v # solo unit
uv run pytest tests/integration -v -m integration # solo integration
uv run python scripts/run_phase1.py # run completo Phase 1
uv run streamlit run src/multi_swarm/dashboard/streamlit_app.py
Description
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