https://github.com/mathiswellmann/mathiswellmann
https://github.com/mathiswellmann/mathiswellmann
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/mathiswellmann/mathiswellmann
- Owner: MathisWellmann
- Created: 2020-11-10T18:04:38.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2026-02-07T20:29:15.000Z (4 months ago)
- Last Synced: 2026-02-08T04:56:30.257Z (4 months ago)
- Size: 88.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### Welcome :wave:
I enjoy writing correct, fast and simple software using Rust 🦀 on NixOS.
Interested in predictable low latency trading systems, optimizing for CPU caches, branch predictors and proper atomics synchronization primitives.
[Using NixOS to manage my homelab](https://MathisWellmann/nixos-config) (6 servers, ~400 threads, ~1.7TB RAM) in a declarative and reproducible fashion, running various services, miners and ML-driven tick-by-tick backtests. Gotta pump that load average up.
Also more than half of my contributions are directed towards my self-hosted forgejo instance, not showing up on Github.
### My Open-Source Repositories [Crates on lib.rs](https://lib.rs/~MathisWellmann):
- :moneybag: [TradeAggregation](https://github.com/MathisWellmann/trade_aggregation-rs): Low-Latency trade aggregation crate for user-defined `Candle`s based on information driven rules.
- :currency_exchange: [LFEST](https://github.com/MathisWellmann/lfest-rs) High performance perpetual futures exchange for simulated trading
- :chains: Chainable Tree-like [Sliding Features](https://github.com/MathisWellmann/sliding_features-rs). Basically sequential signal processing including "technical indicators"
- :chart: [EhlersIndicators](https://github.com/MathisWellmann/go_ehlers_indicators): John Ehlers technical analysis indicators / Filters
- :frog: Evolutionary Neural Network implementation called [CoSyNE](https://github.com/MathisWellmann/cosyne).
- :muscle: [gym-rs](https://github.com/MathisWellmann/gym-rs) a pure Rust implementation of OpenAi's Gym environments.
- :chart_with_upwards_trend: [TimeSeriesGenerator](https://github.com/MathisWellmann/time_series_generator-rs) for synthetic data generation.
- :potable_water: [reservoir_computer](https://github.com/MathisWellmann/reservoir_computer) Reservoir computers on the CPU
- :chart_with_downwards_trend: [whittaker_smoother](https://github.com/MathisWellmann/whittaker_smoother) A perfect smoother