stefan-jansen/machine-learning-for-trading SLOC report
As of 2026-06-02 (commit f652d79ab2f1), stefan-jansen/machine-learning-for-trading contains 69,022 total lines: 28,045 code, 36,237 comments, 4,740 blank, across 237 files in 8 languages (top: Jupyter Notebooks 89.8%). Counted with tokei via OctoCounts.
Repository size insights
This is a medium-sized codebase by counted code lines. Code represents 40.6% of all lines, comments represent 52.5%, and the repository averages 118 code lines per file. Jupyter Notebooks accounts for 89.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| Jupyter Notebooks | 155 | 33986 | 25179 | 6319 | 2488 |
| YAML | 5 | 1644 | 1644 | 0 | 0 |
| Python | 29 | 1553 | 1052 | 177 | 324 |
| SVG | 2 | 162 | 162 | 0 | 0 |
| Forge Config | 1 | 10 | 4 | 4 | 2 |
| Shell | 1 | 6 | 4 | 2 | 0 |
| Markdown | 39 | 5513 | 0 | 3587 | 1926 |
| Plain Text | 5 | 26148 | 0 | 26148 | 0 |
Top language (Jupyter Notebooks 89.8%). Generated at 2026-06-02T04:52:06.477168442+00:00.
Report FAQ
How many lines of code does stefan-jansen/machine-learning-for-trading have?
stefan-jansen/machine-learning-for-trading has 69,022 total lines, including 28,045 code lines, 36,237 comment lines, and 4,740 blank lines.
How was the stefan-jansen/machine-learning-for-trading line count measured?
OctoCounts resolved the public GitHub repository to commit f652d79ab2f1, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for stefan-jansen/machine-learning-for-trading?
This OctoCounts report was generated from main at commit f652d79ab2f1 on 2026-06-02T04:52:06.477168442+00:00.