882dd0e7eb
Add bybit_close_cross_section_staleness() + wire it into refresh_bybit_warehouse: after the nightly ingests, compute the newest 'close' day whose cross-section covers >= min_fraction of the universe and, if it lags today by more than max_lag_days (~2), emit a loud context.log.error (the data-layer analog of the tracker re-inception guard). Does NOT hard-crash — the run completes and the staleness numbers are returned in the summary for monitoring. The Dagster bybit_warehouse_refresh asset passes context.log.error. Requiring a HEALTHY symbol count (not just any row on the newest day) means a single brand-new symbol landing today cannot mask an otherwise-frozen book — the exact silent freeze the perp symbol-skip caused (close had 2 symbols on 06-30 vs 296 for spot_close). Also adds the forward-track perp-leg date-resume advance test (mirrors the spot-leg test) and the two freshness-guard tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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
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.