Introduce, the QuantTerminal
3 years ago, we launched the quantpylib repo. The goal was to enable quantitative research and trading workflows for quants. Over the years, traders have used the library to research and deploy all sorts of strategies, from loose-pants trend following to complex market-making systems.
I myself have used quantpylib’s crypto wrappers on dexs, prediction markets et cetera in latency sensitive workflows to generate more than $1M in market making pnl, and more than $1B in volume driving my quantitative research and strategies.
The library allows developers to assimilate into their own trading pipeline, allowing sophisticated traders to use it’s well-abstracted features at the appropriate layer, whether it is for risk management, offline research, or live trading.
Today, we announce the QuantTerminal, which gives a face to Quantpylib’s core features - this will give quant teams an interface and access to end-end applications of the best and most powerful workflows possible in Quantpylib.
Target Core features
Live, multi-exchange Tick Data Terminal
Live, multi-exchange position and Order Tracking
Tick Data Lake Archival and Session Replay
Binary Order Event Trace for HFT Market Making
Quantitative Analytics for Order Execution (markouts, slippage, latency etc)
Live Telemetry
and more!
This is an internal quant tooling system we’ve been sitting on, and we have decided to do a staged rollout of it. We understand that quant teams need to own their IPs - code and data are sacred. Therefore, the terminal application is transparent software that is intended to be run locally on your own workstation - with your own data. It’s powered by quantpylib, therefore access to the library is a prerequisite.
First stage of the rollout is the live terminal view. Here is a short 30-sec demo.
Note that it’s in a beta-stage rollout, and priced as such. As we continue to rollout, we will increase the price of the access pass accordingly.
Access, Quantpylib 1 Week Discount
The QuantTerminal access pass is available here:
https://quantpylib.hangukquant.com/pricing/pricing/
For one week, we are running discounted access to Quantpylib. Running QuantTerminal requires access to the Quantpylib library.