gahow/quant-trading
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
13 Commits 1 Branch 0 Tags
7f0c5de574ac202d210d2090b81a43bc535e350f
Go to file
Clone
Open with VS Code Open with VSCodium Open with Intellij IDEA
Download ZIP Download TAR.GZ Download BUNDLE
Gahow Wang 7f0c5de574 Use explicit download errors for factor loader fallback
2026-04-07 16:01:51 +08:00
data
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
docs/superpowers/specs
Add factor attribution design spec
2026-04-07 15:01:57 +08:00
strategies
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
tests
Use explicit download errors for factor loader fallback
2026-04-07 16:01:51 +08:00
.gitignore
auto mode for continuous running
2026-04-05 00:50:26 +08:00
.python-version
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
CLAUDE.md
Single-process monitor for US + CN markets
2026-04-07 00:16:46 +08:00
data_manager.py
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
factor_attribution.py
Use explicit download errors for factor loader fallback
2026-04-07 16:01:51 +08:00
main.py
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
metrics.py
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
pyproject.toml
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
README.md
auto mode for continuous running
2026-04-05 00:50:26 +08:00
trader.py
Single-process monitor for US + CN markets
2026-04-07 00:16:46 +08:00
universe.py
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00
uv.lock
Initial commit: quant backtesting framework with daily trading simulator
2026-04-05 00:41:19 +08:00

README.md

The file is empty.
Description
No description provided
Readme 3 MiB
Languages
Python 86.3%
TypeScript 11.6%
CSS 1.9%
Shell 0.2%