Adriano 36e05233d0 feat(backtest): Order/Position/Trade dataclasses with fees
Side StrEnum (long/short/flat), frozen dataclasses con calcolo
unrealized_pnl per Position e gross/fees/net_pnl per Trade
(fees in basis point, default 5bp). 4 test TDD passing,
ruff + mypy strict clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 19:11:27 +02:00

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
S
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