74 stocks across the US, Hong Kong and China A-share markets are now scored in real time by BDE Score, an open-source multi-factor tool. Each ticker receives a single 0-100 rating, and live scores plus a snapshot API are public with no signup required. The project targets developers, educators, data scientists and self-directed investors seeking a technical analysis layer rather than investment advice. Documentation and a GitHub repository publish the methodology, live demo and examples for anyone to call the API and embed scores.
74 tickers receive continuous coverage, split as 25 US names, 26 Hong Kong names and 23 China A-share names. That spread is exposed in the public demo and the API, which supports market scoping so a user can request market=ALL to return a live snapshot across the three regions.
How the score is built
Five factors feed the BDE Score, weighted to produce a 0-100 composite. Momentum carries 30 percent of the weight, Volatility 25 percent, Volume 20 percent, Trend 15 percent and Risk 10 percent. The project describes the score as a deterministic composite derived from those dimensions, and the full methodology and factor weights are published in the project's open-source repository so users can inspect how each component contributes to the final rating.
The documentation frames the offering as a technical service for educational use rather than a professional advisory product. The codebase and live demo show the scoring formula, and the repository includes the source code, issue tracking and contribution guidelines so organisations can fork, adapt or self-host the analysis logic.
The project positions itself toward individual developers, educators, data scientists and self-directed investors who need a low barrier to experimentation. The public REST API requires no authentication, so anyone can curl the endpoint and retrieve live analyses. This documentation offers a simple quick-start curl example to demonstrate the unauthenticated REST call pattern.
Operational features focus on easy integration and visibility. The project supplies live badges meant for embedding scores into READMEs or documentation, and the live demo URL returns a snapshot of scores across the supported markets.
The public presentation emphasises breadth of experiments over institutional-grade coverage, noting the tool doesn't claim exhaustive market breadth or a professional data license.
The documentation lists four product attributes it considers unique. First, zero signup access through a publicly callable REST API with no API key. Second, explicit multi-market scope covering US, Hong Kong and China A-share tickers. Third, transparency, in that the scoring formula and factor weights are open for audit on GitHub. Fourth, open-source distribution, allowing reuse and self-hosting of the analysis logic.
The project also includes an explicit disclaimer that the tool isn't financial advice and is intended for educational and technical use. The developer points users to the GitHub repository for source code, issue tracking and contribution guidelines while the live demo and API remain the published access points for real time snapshots and the full methodology.
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Scores run 0-100 and are built from five factors weighted 30, 25, 20, 15 and 10 percent. They are available via an unauthenticated REST API so anyone can query market=ALL and retrieve the live snapshot for the 74 covered tickers.
This article was created with AI assistance.
