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PythonMatchingEngine: Fast Trading Simulator

Name: PythonMatchingEngine: Fast Trading Simulator
Author: Surbeivol

Get a high performance trading simulator for realistic strategy testing, built for founders, using Python.

From the repo · “High performance trading Matching Engine / Market Simulator using Level 3 Market Data for realistic simulation of High Frequency Trading Strategies”

intermediate⏱ 1-2 hours💵 Free + LLM API costs

138 stars28 forksPythonGuide quality 8/10 · reviewed Jul 1Updated 5/3/2024100% free · open source

What it is

Use Python to create fast and realistic trading simulations for strategy testing.

Real use case example

"A founder wants to test a new trading strategy for a cryptocurrency, so she builds a high-performance simulation using this skill, running 1,000 iterations in just 30 minutes, and refining her strategy to increase expected returns by 15%."

Best insideClaude Code

When to use it

•Testing trading strategies before deploying them in live markets
•Validating the performance of trading algorithms under various market conditions
•Comparing the effectiveness of different trading strategies

Ready-to-paste prompt

python matching_engine.py -c config.json -d sample_market_data.csv -o output_report.csv

Heads up: Ensure you have the necessary dependencies installed, including `pandas`, `numpy`, and `yfinance`, and that your system meets the minimum requirements for running the simulation, including sufficient CPU and memory resources.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/pythonmatchingengine && curl -fsSL https://workflowstacks.com/api/skills/pythonmatchingengine/claude-skill -o ~/.claude/skills/pythonmatchingengine/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How PythonMatchingEngine: Fast Trading Simulator works

Codeflow

Free to inspect

PythonMatchingEngine: Fast Trading Simulator is a small Python project (~1.5k lines across 14 code files, plus 7 test files). Setup is light: install Python, run one command. Last commit 30 months ago, MIT license, has a test suite.

Size

Small codebase

~1.5k lines · 14 code files · 12 min skim

Setup

Light setup

Install Python, run one command.

Runs on

Python

No API keys detected

Python 99%Dockerfile 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
examples/Gateway_usage.ipynb
A worked example — copy this to get going

What's in each folder

examples/Examples you can copy6 files

marketsimulator/Folder9 files

config/Configuration4 files

dockerfiles/Folder3 files

data/Data files2 files

tests/Tests — proof it works7 files

READMEHas testsThin docsNo CIExamples includedMIT licenseLast update 30 mo ago