This is a Python-based repository for a multi-strategy quant system. It provides a framework for implementing and testing various quantitative trading strategies on financial time series data, and can be used to generate buy/sell signals based on the outputs of those strategies.
active 2023-12-22 → 2025-07-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 572 days from 2023-12-22 to 2025-07-15. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 3 total, peak 3 in a day. Stars: 11 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| createMonster | 3 | 1 | 0 | 2 |
| hangukquant | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#8hangukquant2024-02-08 09:16if you are so blatantly copying my work - I would at least appreciate an acknowledgement or credit section.
- Issue comment#8hangukquant2024-02-08 09:16if you are so blatantly copying my work - I would at least appreciate an acknowledgement or credit section.
- Issue comment#8createMonster2024-02-08 09:12if you are so blatantly copying my work - I would at least appreciate an acknowledgement or credit section.
- Issue comment#8createMonster2024-02-08 09:11if you are so blatantly copying my work - I would at least appreciate an acknowledgement or credit section.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 11 stars here means stars gained during the window, not the repo's star count.