Building a Horse Racing Prediction Model with Python and Renavon Data
Build a horse racing prediction model with Python and Renavon's HKJC data. Feature engineering, logistic regression, and evaluating against the market.
Insights on Hong Kong data, racing analytics, and the Renavon platform.
Build a horse racing prediction model with Python and Renavon's HKJC data. Feature engineering, logistic regression, and evaluating against the market.
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.