Skip to main content

Order Book Matching Engine

Project description

Order Book Matching Engine

pytest !pypi !python-versions pre-commit Ruff

Overview

This package is a simple order book matching engine implementation in Python. Its main features are:

  • price-time priority
  • limit and market orders
  • order cancellation and expiration
  • conversion into pandas DataFrame of orders, executed trades, order book summary

Install

pip install order-matching

Documentation

khrapovs.github.io/OrderBookMatchingEngine

Usage

>>> from datetime import datetime, timedelta
>>> from pprint import pp
>>> import pandas as pd

>>> from order_matching.matching_engine import MatchingEngine
>>> from order_matching.order import LimitOrder
>>> from order_matching.side import Side
>>> from order_matching.orders import Orders

>>> matching_engine = MatchingEngine(seed=123)
>>> timestamp = datetime(2023, 1, 1)
>>> transaction_timestamp = timestamp + timedelta(days=1)
>>> buy_order = LimitOrder(side=Side.BUY, price=1.2, size=2.3, timestamp=timestamp, order_id="a", trader_id="x")
>>> sell_order = LimitOrder(side=Side.SELL, price=0.8, size=1.6, timestamp=timestamp, order_id="b", trader_id="y")
>>> executed_trades = matching_engine.match(orders=Orders([buy_order, sell_order]), timestamp=transaction_timestamp)

>>> pp(executed_trades.trades)
[Trade(side=SELL,
       price=1.2,
       size=1.6,
       incoming_order_id='b',
       book_order_id='a',
       execution=LIMIT,
       trade_id='c4da537c-1651-4dae-8486-7db30d67b366',
       timestamp=datetime.datetime(2023, 1, 2, 0, 0))]

Related Projects

Contribute

Install project in editable mode and sync all dependencies:

uv sync --all-groups --all-extras

and use pre-commit to make sure that your code is formatted and linted automatically:

uv run prek install

Run tests:

uv run pytest

Run benchmark and see the result either in the terminal or as a plot in benchmark_history.svg:

./benchmark.sh

Build and serve documentation website:

uv run mkdocs serve

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

order_matching-0.3.15.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

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

order_matching-0.3.15-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file order_matching-0.3.15.tar.gz.

File metadata

  • Download URL: order_matching-0.3.15.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for order_matching-0.3.15.tar.gz
Algorithm Hash digest
SHA256 be07f96aacdf4d6ef3a7957e66605c8c315ae0235c27c8a434858a80ce6889f2
MD5 d97d0e520a2c18d21d8a45c1e962a221
BLAKE2b-256 c620e3ebd042b8b71ba22af5223febd65d955b43f9da4506ad0136fcd652edb6

See more details on using hashes here.

File details

Details for the file order_matching-0.3.15-py3-none-any.whl.

File metadata

  • Download URL: order_matching-0.3.15-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for order_matching-0.3.15-py3-none-any.whl
Algorithm Hash digest
SHA256 30180efb246fc63de4534721e381f51eaaf9f11753a60d6cf07d6d824f7a7917
MD5 5d878a7209d56bb59d0edd8d9d4b9238
BLAKE2b-256 716e2fcf3f2078ea8f5a057a09c2792c257aeea130cc157c2a380131ea7884c4

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