Skip to main content

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.

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: ~80,000 orders/second with microsecond latency on a Linux server
  • Practical protocol design: ALF (ALmost Fix) command language for gateway order entry, RALF (Reconciliation ALF) for post trade consumers and CALF (Channel ALF) to serve market data to subscribers, and finally BALF (Binary ALF) for high performance trade clients
  • 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
  • Risk handling with circuit breakers and price collars
  • Message-based process boundaries with strong observability
  • Implement real risk controls such as prioce-collar, kill-switch, circuit-breaker, and mass-cancel
  • Easy to understand configuration through single source engine_config.yaml which acts as the system reference data. To simplify its creation a CLI tool pm-config-gen can be used and a handwritten config file can be verified with pm-cverifier

Documentation

Main documentation site EduMatcher Documentation that among other things includes:

  • How an Exchange Works: a primer on exchange mechanics and market microstructure concepts aimed at software developers with no prior financial experience
  • Exchange Concepts: deep dive in core technical concept of an exchange
  • User Guide: step-by-step instructions for installation, configuration, and running EduMatcher
  • Training Material: self-paced exercises to learn how to setup and manage the Exchange
  • Architecture: an overview of the SW architecture
  • Developer Guide: deep dive into the architecture, design decisions, and code structure. Necessary reading for anyone wanting to contribute!
  • Glossary: the finance world uses lot of specialized terms, this glossary lists the most important with an explanation

Installing

See User Guide: Installation

Note: Running an exchange is an inherent complex task and unfortunately it is only so much that can be simplified. However, going throught the user guide and training material should give a great start!

Performance

EduMatcher does not aim to match venues like NYSE or LSE, but it is still fairly fast for a purely Python educational project. The figures below reflect the performance on an high end Linux server with risk checks enabled (price collar and circuit-breaker).

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

Order type min (µs) median (µs) P80 (µs) P90 (µs) max (µs)
Limit 13.1 15.0 15.4 15.7 155.7
Market 12.1 13.9 15.2 15.7 73.6

Throughput

Metric Value
Max TPS ~81,000 orders/second
µs / order (mean) 12.4 µs
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.

Key Functional and Infrastructure Limitations

  • No spread-order books
  • No implied (synthetic) orders
  • No primary-secondary automatic site failover
  • No load balancing
  • Limited replay for participants that lose the connection
  • MARKET orders are rejected during a circuit-breaker halt rather than joining the reopening auction. Both Nasdaq and Xetra accept them into the call; here the uncross prices interest by book level, so unpriced interest has no level to sit at and would be invisible to compute_equilibrium()
  • The ACE expansion ladder is exchange-wide only

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 = {0.20.1}
}

License

MIT License - see LICENSE.

Download files

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

Source Distribution

edumatcher-0.20.1.tar.gz (938.5 kB view details)

Uploaded Source

Built Distribution

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

edumatcher-0.20.1-py3-none-any.whl (1.1 MB view details)

Uploaded Python 3

File details

Details for the file edumatcher-0.20.1.tar.gz.

File metadata

  • Download URL: edumatcher-0.20.1.tar.gz
  • Upload date:
  • Size: 938.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1022-azure

File hashes

Hashes for edumatcher-0.20.1.tar.gz
Algorithm Hash digest
SHA256 8a5ed743119b4751909a5e0b51f3ecf0ed3353ca6a713f5bce774738de9b6816
MD5 873c9ede81c2997a19a493e798877d93
BLAKE2b-256 35632f3d9d9faacf2a3856a944c92124d69d1d74c879509411bcf66d5821f589

See more details on using hashes here.

File details

Details for the file edumatcher-0.20.1-py3-none-any.whl.

File metadata

  • Download URL: edumatcher-0.20.1-py3-none-any.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1022-azure

File hashes

Hashes for edumatcher-0.20.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6028437e74955cd16efc00c18b5ed22f91afb9cfd972f9acf349170ff5a9d251
MD5 3cf966387ed9e4c0bd188d5dc72d51cd
BLAKE2b-256 2e5eb7153c971c1209c3878eea10db066b21e420103172ccff1c6d09f63d9f97

See more details on using hashes here.

Release history Release notifications | RSS feed

0.20.3

2 files

0.20.2

2 files

This release

0.20.1 This release

2 files

0.20.0

2 files

0.19.1

2 files

0.18.0

2 files

0.17.0

2 files

0.16.2

2 files

0.16.1

2 files

0.15.3

2 files

0.15.2

2 files

0.15.1

2 files

0.15.0

2 files

0.14.1

2 files

0.14.0

2 files

0.13.5

2 files

0.13.4

2 files

0.13.3

2 files

0.13.2

2 files

0.13.1

2 files

0.13.0

2 files

0.12.5

2 files

0.12.4

2 files

0.12.3

2 files

0.12.2

2 files

0.12.1

2 files

0.12.0

2 files

0.11.0

2 files

0.10.1

2 files

0.10.0

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.0

2 files

0.7.1

2 files

0.7.0

2 files

0.6.1

2 files

0.6.0

2 files

0.5.0

2 files

0.4.0

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9

2 files

0.1.8

2 files

0.1.6

2 files

0.1.5

2 files

Supported by

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