Data engineered for the tape.
Low-latency streams and point-in-time-correct history, delivered in the formats your research and execution stack already speaks — so signals hold from backtest to production.
gRPC & WebSocket · Point-in-time · Parquet & Arrow
- 1s
- candle granularity
- ns
- event timestamps
- years
- point-in-time history
- Parquet
- & Arrow native
Where research pipelines quietly break.
Bias, drift and normalization overhead erode edge before a strategy ever ships. QXX removes them.
Backtests look great until survivorship bias and revisions creep in.
With QXXPoint-in-time snapshots reconstruct exactly what was knowable at each moment — no lookahead, no silent restatements.
Every vendor delivers a different schema; normalization eats research time.
With QXXOne consistent schema across chains and assets means less plumbing and more time on alpha.
Real-time feeds and historical stores drift apart over time.
With QXXThe same normalized events power both the stream and the history, so live and backtest agree.
Latency budgets are tight and every network hop counts.
With QXXCo-located ingestion and binary streaming keep delivery lean; filter server-side to cut bandwidth.
The primitives quant teams ask for.
Sub-second streaming
Events milliseconds after they occur, over gRPC/WebSocket, with server-side filters.
Point-in-time history
Reconstruct the exact state of the world at any timestamp, across full history.
Backtest-ready formats
Parquet and Arrow exports that drop straight into your research stack.
Low-latency delivery
Co-located ingestion and binary protocols minimize the path to your models.
Unified real-time + history
One schema for live and historical — signals translate cleanly to production.
No survivorship bias
Full-universe coverage including delisted, migrated and defunct instruments.
Put the tape behind your models.
Book a demo to benchmark latency and point-in-time history on your strategies.
Usage-based pricing · Free tier · SOC 2–aligned