Where should an English reader start?
The Hong Kong Horse Racing Analytics guide explains comparable race data, model probability and market-implied probability. The Horse Racing AI guide explains model training, time-based validation and calibration. Current race information remains available through Sigma Quant, while the data catalogue documents what each data layer can and cannot substantiate.
- Racing analytics: race context, probability and market comparison
- Horse racing AI: model inputs, evaluation and limitations
- Current predictions: a server-rendered public model preview
- Data catalogue: provenance, timestamps and publication boundaries
What makes Sigma content reviewable?
A reviewable claim identifies the information available at the calculation time, the source boundary, the model or analysis version, the evaluation sample and the limitations. Educational pages cite primary references for public definitions. Original Sigma findings remain unpublished until their evidence package passes the research gate.
How complete is the English site today?
The two highest-priority search topics have dedicated English pages and reciprocal language annotations. Other hubs currently remain in Traditional Chinese where a reviewed translation is not yet available. Separate URLs are added only when the body, metadata, schema and internal links can all identify the language consistently.