Developer · Live backend

Benchmark Console.

Pick an engine, launch a stress run, and watch real latency & throughput stream live from the distributed bot fleet. checking backend…

Select engineupload or use sample

Deploybuild + isolate container

Rundistributed bot fleet

Scorelatency · TPS · rank

New here? How to use this (30 seconds) ▾

QuanTime stress-tests trading matching engines - the software exchanges (NYSE, Binance) use to match buy/sell orders. Three steps:

Pick an engine (left panel) and click ⚡ Use selected engine. Or upload your own - a .tar.gz with a Dockerfile + a POST /submit endpoint (see API & Docs).
Click ▶ Launch benchmark. A distributed bot fleet floods it with orders; the metrics stream in live.
Read the result. Lower latency = better · higher TPS & correctness = better.

Power moves: set Target rate / bot high → find the breaking point (latency explodes) · choose the replay profile → drive it with real market data · ★ Set as baseline then re-run → gate regressions.

1 · Engine

Pre-loaded engine

or upload your own

Team ID

Name

Language

Source archive (.tar.gz / .zip with a Dockerfile)

2 · Run config

Traffic profile

Duration (seconds) max 300

Bots suggested: 50-100 · warning: >300 may freeze host hardware

Target rate / bot (orders/sec) 0 = closed-loop · >0 = open-loop

Live telemetry idle

Orders

Throughput

0ops/s

Avg latency

0ms

Errors

throughput (ops/s) over time

Leaderboard

Full board →

#	Engine	p99	TPS	Score
no finished runs yet

Run history