One repository dominates volume-profile day trading on GitHub: debut-js/Indicators scores 330.5, nearly six times its closest rival

Asked (summary):

Select the 25 GitHub repositories with the highest score (0.7 × stars + 0.3 × forks) that present day-trading strategies using the volume profile indicator, requiring each to have a .md file with instructions or code.

The 25 rows below are the top of 27 scoreable candidates out of 28 deduplicated repositories found through broad GitHub and web searches (one could not be fetched from the GitHub API). Each repository documents an intraday, scalping or session-based use of Volume Profile or Market Profile/TPO concepts — POC, VAH/VAL, HVN/LVN — in a named Markdown file. Some are full automated strategies or backtests; others are indicator or tool methodologies rather than complete execution systems. Star and fork counts are live snapshots from 22 September 2026.

Score = 0.7 × stars + 0.3 × forks. Hover or tap a bar for stars, forks and the qualifying Markdown file.

The leader is 5.7× the runner-up: github.com documents POC and VAH/VAL with a default 70% value area, at 446 stars against 76 for rank 2.

Ranks 2–10 form a middle band from 58.3 down to 32.1 — order-flow tools, knowledge bases and bots such as github.com and github.com.

The bottom 15 repositories all score below 16; the last, github.com, scores 0.3 with 0 stars and 1 fork.

The set mixes complete automated strategies and backtests (e.g. github.com) with actionable indicator methodologies (e.g. github.com) — inclusion implies neither profitability nor endorsement.

#	Repository	Stars	Forks	Score	Intraday use	Strategy / profile rules	Markdown file	Links

Data: 25 GitHub repositories documenting volume-profile / market-profile day-trading use, the top 25 by score (0.7 × stars + 0.3 × forks) of 27 scoreable candidates from 28 found; 1 candidate had no retrievable GitHub API record. Stars and forks are live GitHub API snapshots taken 2026-09-22 and can change. Strategy rules are shortened excerpts from each repository's qualifying Markdown file; full text at the linked evidence pages.

This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors. Nothing in this report is investment, legal, financial, or other professional advice. All trademarks and referenced content remain the property of their respective owners; no affiliation or endorsement is implied. To report an error, rights concern, or request removal: legal@keenable.ai.