#machine-learning #trading #framework #financial-data #finance #crypto #math

atelier

a Computational Workshop for Market Microstructure Modeling, Synthetic Simulation and Historical Replay

4 releases

0.1.0 Sep 24, 2023
0.0.88 Nov 11, 2024
0.0.87 Oct 7, 2024
0.0.86 Sep 17, 2024
0.0.1 Oct 22, 2022

#367 in Simulation

Download history 141/week @ 2024-08-16 17/week @ 2024-08-23 160/week @ 2024-08-30 22/week @ 2024-09-06 1167/week @ 2024-09-13 198/week @ 2024-09-20 10/week @ 2024-09-27 155/week @ 2024-10-04 67/week @ 2024-10-11 6/week @ 2024-10-18 31/week @ 2024-11-01 131/week @ 2024-11-08 25/week @ 2024-11-15 12/week @ 2024-11-22

199 downloads per month

Apache-2.0

48KB
762 lines

atelier

A Computational Workshop for Market Microstructure Modeling, Synthetic Simulation and Historical Replay.

Overview

Use atelier for modeling market microstructure dynamics, it supports an orderbook-based market structure. Whether you need a high quality reproduction of any given market within a defined period of time (market replay), or, to generate what-if scnearios either completely random, or, with model specification (market simulation).

Contribute

Feel free to contribute, just make sure you check the CONTRIBUTING guidelines. Also consider to pick-up the existing issues.


lib.rs:

Atelier

Provides a computational framework that can be used as a workshop to develop Financial Machine Learning models, especifically battle tested to the level of Market microstructure. Features include:

  • Market Simulation: A synthetic simulation of a market, as detailed as the provided configuration.
  • Market Replay: A high-fidelity reproduction of what actually happened, all the way down to the data granularity that is provided.

Dependencies

~1.3–2.1MB
~43K SLoC