Insights on Hong Kong data, racing analytics, and the Renavon platform.
Favourites win 31% of HKJC races but cost you 15% on a flat bet. Breakdown by odds range, race class, and venue — with runnable SQL queries.
418,000 HKEX director disclosure filings analysed. Directors buy more than they sell — but the ratio is shifting. SQL queries to explore it yourself.
Build a horse racing prediction model with Python and Renavon's HKJC data. Feature engineering, logistic regression, and evaluating against the market.
How David Webb's pioneering Hong Kong financial transparency platform became an open dataset, and why we built webbsite.renavon.com to keep his 35-year mission alive.
A subscriber pointed an autonomous AI agent at their Renavon databases and it just worked. No MCP setup, no code — just a plain-language request. Here's how autonomous agents work with our data.
Mapping the most connected directors on the Hong Kong Exchange. SQL queries to identify board overlaps, prolific directors, and governance concentration across HKEX-listed companies.
Some jockey-trainer partnerships thrive under the lights at Happy Valley but fade at Sha Tin. Here's how to find them in the data, with ready-to-run SQL queries.
Renavon data is accessible three ways: SQL queries via DuckDB, flat file downloads, and AI agent connections. Here's how each one works, with examples.
Your AI assistant can now query Renavon's Hong Kong datasets directly. Here's how to connect Claude, Cursor, or any MCP client to your data in under 5 minutes.