In this repository we present a few examples for trading analytics that leverage
the nonlinear optimisation platform NOA
and its experimental kotlin-jvm frontend
within the KMath library.
To use kmath-noa, you will need first to build & publish the module locally.
For data storage, you have to install MongoDB. You can edit the configurations in the conf.yaml file.
In this study, we explore the impact of High Frequency Trading on execution costs and liquidity for several Cryptocurrency exchanges.
You will find the data collection utilities within crypto-hft-data. To run the app you need to simply execute:
./gradlew -Dorg.gradle.java.home=/path/to/local/jdk -q :crypto-hft-data:run --args=/path/to/conf.yaml
You can configure it in conf.yaml to get the LOB data feed from the following exchanges and liquidity aggregators:
for any of the traded instruments available on the platforms.
Once you've collected a bit of data you can run the analysis with the models we provide in crypto-hft-analytics.
The module crypto-hft-visual provides the visualisation apps.
The following research has been carried out using our platform:
- R. Grinis, A. Kislitsyn, I. Drozdov and K. Shulga Are Cryptocurrency Markets Running Behind the Fed? A Significant Shift in Crypto Markets Microstructure (October 20, 2021). Available at SSRN
We kindly acknowledge support from Finery Markets, GrinisRIT ltd. and JetBrains Research.
NOA-ATRA is licensed under the terms and conditions of the GNU General Public License (GPL) version 3 or - at your option - any later version. The GPL can be read online, or see the full LICENSE
Please note that NOA-ATRA license does NOT feature a template exception to the GNU General Public License. This means that you must publish any source code which uses any of the NOA-ATRA library functionality if you want to redistribute your program to third parties. If this is unacceptable to you, please contact us for a commercial license.
For support or consultancy services contact GrinisRIT.
(c) 2022 GrinisRIT ltd.