atelier_rs
| Crates.io | atelier_rs |
| lib.rs | atelier_rs |
| version | 0.0.1 |
| created_at | 2025-06-14 21:44:29.781941+00 |
| updated_at | 2025-06-14 21:44:29.781941+00 |
| description | Engine for High Frequency, Synthetic and Historical, Market Microstructure Modeling |
| homepage | https://iteralabs.ai/atelier-rs |
| repository | https://github.com/iteralabs/atelier-rs |
| max_upload_size | |
| id | 1712708 |
| size | 47,123 |
FranciscoME (IFFranciscoME)
documentation
https://docs.rs/atelier_rs/
README
atelier-rs
Overview
Engine for High Frequency, Synthetic and Historical, Market Microstructure Modeling. At a high level it provides the following major components:
- Full orderbook granularity.
- Stochastic process functions for synthetic data generation.
- Distributed convex methods for model training/inference.
Workspace
These are the other published crates members of the workspace:
- atelier-data: Core data structures and I/O tools.
- atelier-dcml: Distributed Convex Machine Learning.
- atelier-generators: Probabilistic generators and events simulation.
- atelier-results: Standardized results, errors and successes.
- atelier-synth: Synthetic Data Generation for the atelier-rs engine.
Github hosted:
atelier-rs is the "entrypoint" for the atelier-rs workspace