Quants & Traders
The Infrastructure for Algorithmic Trading
Provide quants, prop desks, and trading platforms with reliable, point-in-time fundamentals. Build systematic strategies using clean, timestamped financial data exactly as it was reported.
Why As-Reported, Point-in-Time Fundamentals Matter
Point-in-Time Data Matters. Traditional data providers overwrite historical values with restated numbers. This distorts backtests and creates a mismatch with live signals. Using as-reported data ensures continuity between research and production.
For Machine Learning. Structured fundamentals exposed through a raw JSON schema allow teams to build thousands of numerical features: growth metrics, ratios, multi-period deltas, without relying on vendor-defined aggregates.