This Python project uses time series forecasting practices to predict the price of Bitcoin by leveraging various models, using data collected from October 1, 2013, to May 18, 2021. The proposed approach involves implementing multiple forecasting models, each designed to capture trends exhibited by Bitcoin's price over the specified time range.
active 2023-11-20 → 2023-12-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 41 days from 2023-11-20 to 2023-12-30. Pushes: 5 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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 |
|---|---|---|---|---|
| Adamo-afk | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.