使用 Colab 建立，利用python，分別對台灣的證券交易所和yahoo奇摩股市進行股票價格的網頁爬蟲，並對爬取下來的資料以data-driven的方式進行股市分析，其中包括"計算技術指標"、"K線可視化"、"資料清洗與轉置"等，接著以"ARIMA模型"、"機器學習(線性回歸、決策樹、隨機森林"、"深度學習(ANN、CNN、LSTM)"訓練模型並進行股價漲跌的預測，最後搭配交易策略和技術指標(SMA、RSI、MACD、KD�
active 2024-10-29 → 2026-02-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 467 days from 2024-10-29 to 2026-02-07. Pushes: 9 total, peak 2 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 2 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 |
|---|---|---|---|---|
| CodingShih | 10 | 9 | 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.