- pyproject.toml: add mypy overrides for pandas/tabulate/matplotlib stubs,
disable strict checking for vendored MyTT library
- config.py: use cast() for dict[str, Any] .get() returns
- beichi.py: widen _calc_bi_force param to BI | XD, import XD
- backtest/cli.py: split combo/single strategy into separate typed variables
- backtest/combo.py: add bool_array() helper for numpy return types
- chanlun/analyser.py: type ignore for pandas row access, fix dict type arg
- unified.py: change fields param from object to Any
- ex/mac_client.py: add type args to list literals
- cli/cmd_offline.py: wrap int market as Market enum before API call
- cli/cmd_chanlun.py: fix dict type arg
- offline/write_*.py: explicit int() cast for struct.unpack returns
- MyTT.py: fix line-too-long comments, UP038 isinstance syntax
- tests: fix E712 (==False → ~mask), E741 (noqa), F841, import sorting
- ruff format applied across codebase
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add BIAS_SIGNAL indicator derived from TongDaXin's 30-day bias formula.
Outputs BS_X (raw bias), BS_SMA (short signal line), BS_LMA (long signal
line) for trend direction and reversal detection via asymmetric bull/bear
logic.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The 1.4.1 commit added the indicator registry entry in indicator.py but
forgot to include the actual ZHUOYAO() function definition in MyTT.py.
Also includes lint cleanups (trailing semicolons, import formatting).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Integrate MyTT library to provide 30 technical indicators (MACD, KDJ, RSI,
BOLL, DMI, ATR, etc.) accessible via API and CLI with automatic EMA warm-up.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Justin Gu