Files
fxhnt/README.md
jgrusewski 58bbb4520c feat: fxhnt foundation — hexagonal architecture + proven gauntlet + vertical slice
Enterprise clean-rebuild (no foxhunt code). Hexagonal/ports-and-adapters: pure domain (gauntlet
math, strategies, backtest, models) | ports (DataProvider, repositories) | adapters (Yahoo data,
SQLAlchemy operational [Postgres/SQLite], DuckDB analytical) | application (ResearchService, DI) |
CLI composition root. Gauntlet-first: Deflated Sharpe (Bailey-LdP) built + falsification-tested
(kills best-of-N-on-noise, keeps real premium). Full vertical slice runs end-to-end on real data:
data -> strategy(trend) -> backtest(net of costs) -> IS/OOS gauntlet -> persistence. 4/4 tests green.
Postgres+DuckDB split, pydantic contracts, typed, DRY via one-contract-per-port. ADR + README.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 12:21:47 +02:00

39 lines
1.8 KiB
Markdown

# fxhnt
Agentic strategy-research & multi-strategy execution platform. It systematically **discovers,
backtests and out-of-sample-validates** trading strategies across many markets, keeps only what
survives a rigorous statistical gauntlet, and runs the survivors live (multiple strategies at once).
The bet is not a secret edge — it's **breadth + discipline + automation**. The hard part (and the
moat) is refusing to fool yourself at scale; the validation gauntlet is the core, built and proven
first.
## Architecture (hexagonal / ports-and-adapters)
```
src/fxhnt/
domain/ pure logic: gauntlet (Deflated Sharpe), strategies, backtest, models ← no I/O
ports/ contracts: DataProvider, repositories (the only seams)
adapters/ infra: yahoo data, SQLAlchemy (Postgres/SQLite) + DuckDB stores
application/ use-case services (ResearchService) — orchestrate via ports
cli.py composition root (wires concrete adapters)
```
See `docs/architecture/0001-architecture.md`.
## Quickstart
```bash
pip install -e ".[dev]"
pytest # unit (gauntlet falsification) + integration (vertical slice)
fxhnt strategies # list strategy kinds
fxhnt research SPY --kind trend --window 200 # data → backtest → gauntlet → persist
fxhnt list --passed-only # the survivor library
```
Config via `FXHNT_*` env vars (e.g. `FXHNT_OPERATIONAL_DSN=postgresql+psycopg://...`). Defaults to
SQLite + a local DuckDB file under `~/.fxhnt/`.
## Status
Vertical slice working: data (Yahoo) → strategy (trend) → backtest (net of costs) → IS/OOS gauntlet
→ persistence (operational + analytical). Next: the multi-strategy execution layer, more strategy
templates + data adapters, and the agentic discovery search on top of the proven gauntlet.