Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.
active 2023-08-15 → 2025-03-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 570 days from 2023-08-15 to 2025-03-06. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 13 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| neverlva | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.