Finance
When every event changes the state of the market.
Quasar provides the infrastructure to ingest, preserve, and analyze full-depth market data where sequence, timing, scale, and correctness cannot be compromised.
The Challenge: The Scale
Market data is not just a stream of prices.
Every order, cancellation, execution, correction, and venue update changes the market's state. Reconstructing that state later requires the full event history, in the right order, with enough precision to distinguish what happened from what merely appeared to happen.
The volume makes that difficult. Full-depth feeds can generate terabytes per day, while trading, surveillance, research, risk, and best-execution workflows all need access to both live and historical data.
The usual architecture splits the problem. Recent data stays in an operational store. Older data moves into files or a warehouse. Custom code rebuilds order books, reconciles trades, handles corrections, and prepares data for analysis.That fragmentation creates the real cost: duplicated data, delayed analysis, brittle pipelines, and different answers depending on which version of the market history a system sees.
Why Quasar
Quasar is built for firms that need to treat market history as a live analytical asset, not an archive.
It ingests high-volume market events continuously, preserves corrections and revisions, and keeps full-depth historical data directly queryable alongside the live feed. Quasar’s native order-book engine can replay orders sequentially and reconstruct Level II or Level III state at a point in time.
Quasar brings together
Live and historical market data in one system
Exact event ordering and point-in-time reconstruction
Full-depth retention without runaway storage cost
Analytical queries while ingestion continues
Quasar gives trading and market-data teams one infrastructure layer for capture, reconstruction, research, surveillance, and model execution at full scale.
Results at Scale
Full-depth market capture
Quasar is built to ingest and retain complete order, trade, cancellation, and correction streams without reducing the market to snapshots.
Point-in-time reconstruction
Rebuild Level II or Level III order-book state at any point in the trading day from the underlying event history.
Deep history, directly queryable
Lossless compression keeps years of full-fidelity market data online for research, surveillance, replay, and model development.
Production-scale throughput
Quasar has captured multi-terabyte daily market feeds while serving analytical workloads over the same data.
