# paperswithbacktest/awesome-systematic-trading SLOC report

> As of 2026-07-29 (commit 1ce1eb2b7752), paperswithbacktest/awesome-systematic-trading contains 10,454 total lines: 6,124 code, 2,225 comments, 2,105 blank, across 62 files in 2 languages (top: Python 100.0%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving paperswithbacktest/awesome-systematic-trading to commit 1ce1eb2b7752, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a small codebase by counted code lines. Code represents 58.6% of all lines, comments represent 21.3%, and the repository averages 99 code lines per file. Python accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 60 | 9,308 | 6,124 | 1,322 | 1,862 |
| Markdown | 2 | 1,146 | 0 | 903 | 243 |

Top language (Python 100.0%). Generated at 2026-07-29T05:32:19.543154474+00:00. Canonical report: https://octocounts.com/github/paperswithbacktest/awesome-systematic-trading

## Report FAQ

### How many lines of code does paperswithbacktest/awesome-systematic-trading have?

paperswithbacktest/awesome-systematic-trading has 10,454 total lines, including 6,124 code lines, 2,225 comment lines, and 2,105 blank lines.

### How was the paperswithbacktest/awesome-systematic-trading line count measured?

OctoCounts resolved the public GitHub repository to commit 1ce1eb2b7752, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for paperswithbacktest/awesome-systematic-trading?

This OctoCounts report was generated from main at commit 1ce1eb2b7752 on 2026-07-29T05:32:19.543154474+00:00.

## Similar repository reports

- [lyogavin/airllm](https://octocounts.com/github/lyogavin/airllm) — Python, 6,131 code lines
- [swe-agent/mini-swe-agent](https://octocounts.com/github/swe-agent/mini-swe-agent) — Python, 6,110 code lines
- [yoheinakajima/babyagi_archive](https://octocounts.com/github/yoheinakajima/babyagi_archive) — Python, 6,062 code lines
- [ZXB6/YOLOCV-huzhou](https://octocounts.com/github/ZXB6/YOLOCV-huzhou) — Python, 6,036 code lines
- [majikat768/HuntStatsLogger](https://octocounts.com/github/majikat768/HuntStatsLogger) — Python, 6,274 code lines
- [Panniantong/Agent-Reach](https://octocounts.com/github/Panniantong/Agent-Reach) — Python, 6,285 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)
