Skip to main content

Educational multi-process trading system with order matching

Project description

EduMatcher

Learn how real trading systems work. Build it from first principles.

Category Link
Package PyPI version Python 3.13+
Documentation Documentation
License License: MIT
Release GitHub release
CI/CD Coverage
Code Quality Code style: black Checked with mypy Linting: flake8
Repo URL GitHub

EduMatcher is an educational trading system that teaches market microstructure, matching logic, and exchange architecture through runnable code.

Unlike toy examples, it is designed to be both understandable and fast.

Why EduMatcher?

  • Real exchange mechanics: order books, auctions, clearing, and risk controls
  • Multi-process architecture: gateway, engine, audit, clearing, stats, and tooling
  • Performance-aware implementation: ~60,000 orders/second with microsecond latency
  • Practical protocol design: ALF (ALmost Fix) command language for gateway order entry
  • Strong engineering discipline: type hints, linting, and high test coverage

Key Features

  • Complete lifecycle: order entry, matching, clearing, and audit trail
  • Rich order support: MARKET, LIMIT, STOP, STOP_LIMIT, IOC/FOK, ICEBERG, combo, OCO
  • Market mechanisms: opening/closing auctions and circuit breakers
  • Config-driven behavior via engine_config.yaml which acts as reference data for EduMatcher
  • Message-based process boundaries with strong observability
  • Implement real risk controls such as prioce-collar, kill-switch, circuit-breaker, and mass-cancel

Key Limitations

  • No spread-order books
  • No implied (synthetic) orders
  • No primary-secondary site failover
  • No load balancing
  • Limited replay for participants that lose the connection
  • No index calculations

Performance

EduMatcher does not aim to match venues like NYSE or LSE, but it is still fast for a pure Python educational project.

Latency (engine-only, n=1,000 each)

Order type min (µs) median (µs) P80 (µs) P90 (µs) max (µs)
Limit 8.1 8.5 9.6 10.0 18
Market 8.1 8.5 8.8 9.3 45

Throughput

Metric Value
Max TPS ~60,000 orders/second
Order mix 20% Market, 30% aggressive Limit, 50% passive Limit

Performance note: price-collar and circuit-breaker checks run in the hot path for every match. They are required for realistic risk control and add measurable cost.

Explore the Code

Start with these key areas:

Documentation

Full docs: EduMatcher Documentation

Additional references:

  • How an Exchange Works. This is a generic document meant for SW developers with no previous financial experience. Reading this document will give the necessary background both in finance and the core workings of an exchange.
  • ALF Protocol Appendix. ALF is the Gatewauy human protocol used to send in orders vi the ALF gateway. It is a drastically simplified FIX inspired protocol (ALF = ALmost Fix)
  • Glossary. An extensiv glossary with all commonly used financial terms used in these documents.

Who It's For

  • Computer science students learning systems design and concurrency
  • Finance students learning market microstructure and trading mechanics
  • Developers building exchange technology or trading systems
  • Anyone curious about how modern markets actually work

Contributing

This is an educational project. If you find bugs, improve the documentation, or make other enhancements PRs are welcome!

Citation

If you use this tool in teaching or courses, please cite:

@software{edumatcher,
  title = {EduMatcher},
  author = {Johan Persson},
  year = {2026},
  url = {https://github.com/johan162/edumatcher},
  version = {0.3.3}
}

License

MIT License - see LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edumatcher-0.3.3.tar.gz (116.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

edumatcher-0.3.3-py3-none-any.whl (135.7 kB view details)

Uploaded Python 3

File details

Details for the file edumatcher-0.3.3.tar.gz.

File metadata

  • Download URL: edumatcher-0.3.3.tar.gz
  • Upload date:
  • Size: 116.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1018-azure

File hashes

Hashes for edumatcher-0.3.3.tar.gz
Algorithm Hash digest
SHA256 c309fe3a2abe4799e462536ee533cba6abdbe98effb8b0484ca84210c6b01513
MD5 ab994b1b7e1b2161969672d56487413e
BLAKE2b-256 ec50bbcb70fa021c8ec01d501a004ccb30de5685fb1df1b5278460ccce86749e

See more details on using hashes here.

File details

Details for the file edumatcher-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: edumatcher-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 135.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1018-azure

File hashes

Hashes for edumatcher-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4085ef095ffa792e0d05f9a88d8e0001cc64afc4c8264319d420e05e9f44edfa
MD5 6cf39bc1b3fab3672ec8ee9c9484510f
BLAKE2b-256 d0e059c19fa4d52b626b126611743e0e91619d0514f270abb970b3bb5c74c8e6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page