cmd_evening (used by the monitor path) only updated the simple daily_equity
dict, so daily_log had gaps on every monitor-driven day. Mirror cmd_auto's
pattern and call record_daily_snapshot so each strategy's NAV is recorded
every trading day, even when no trades execute.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New FactorComboStrategy class (strategies/factor_combo.py) implements
8 champion factor signals (4 US, 4 CN) discovered through iterative
factor research, each at 4 rebalancing frequencies (daily/weekly/
biweekly/monthly). Registered in trader.py as fc_{signal}_{freq}.
Existing strategies and state files are untouched — safe to git pull
and restart monitor on server.
Also includes factor research scripts (factor_loop.py, factor_research.py,
etc.) used to discover and validate these factors.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- `trader.py monitor` now handles all markets in one process
(US 9:45/16:35 ET, CN 9:45/15:35 CST) with unified UTC event loop
- Events from different markets/timezones are merged; sleeps until
the globally next event across all markets
- Overlapping events (e.g. US evening + CN morning) fire together
- `trader.py compare` defaults to US, use --market cn for A-shares
- One tmux session handles everything: just `uv run python trader.py monitor`
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- `trader.py monitor` — runs ALL 9 strategies by default, $10k capital,
$2 fee, integer shares. Just start and forget.
- `trader.py compare` — auto-discovers all state files in data/, no
--strategy needed. Ranks by return with equity curves.
- Monitor defaults: --capital 10000, --fixed-fee 2.0, --integer-shares
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Monitor now runs morning (9:45 → signals) and evening (4:35 → execute)
instead of single daily run; falls back to auto if morning missed
- Add --integer-shares flag for whole-share-only trading (no fractional)
- Add daily_log to state: each day records holdings, cash, and operations
- Add 'log' subcommand to view daily snapshots with date range filter
- record_daily_snapshot() called from both simulate and auto commands
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backtesting engine supporting 11 strategies across US (S&P 500) and CN (CSI 300)
markets with open-to-close execution, proportional + fixed per-trade fees.
Daily trader (trader.py) with auto/morning/evening/simulate/status commands
and cron-friendly `auto` mode for unattended daily runs on a server.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
