5 Open‑Source Quant Trading Tools Every Developer Should Explore
Discover five open‑source stock‑trading utilities—funds, ZVT, QUANTAXIS, StockAnalysisSystem, and match‑trade—each offering real‑time data, backtesting, multi‑asset support, and high‑performance matching to help programmers build powerful quantitative finance applications.
Programmers who trade stocks can boost their workflow with open‑source tools that blend finance and software development. Below are five notable projects, each with a brief description, author information, star count, repository link, and a screenshot.
funds
zvt
QUANTAXIS
StockAnalysisSystem
match‑trade
funds
Author: rabt Stars: 38 Repository: https://gitee.com/rabt/funds
A browser‑extension fund assistant that shows real‑time valuations of user‑selected funds, allows adding or removing funds, and syncs data across accounts. Its small window UI lets users monitor funds discreetly while working.
zvt
Author: foolcage Stars: 1100 Repository: https://github.com/zvtvz/zvt
ZVT is a re‑imagined quantitative trading framework offering extensible trading targets, data recording, APIs, factor calculation, stock selection, backtesting, and unified visualization. It operates without middleware, making it lightweight, testable, inferable, and highly extensible.
QUANTAXIS
Author: yutiansut Stars: 3923 Repository: https://github.com/quantaxis/quantaxis
QUANTAXIS supports task scheduling and distributed deployment for stocks, futures, options, Hong Kong stocks, and cryptocurrencies. It provides data acquisition, backtesting, simulation, trading, visualization, and multi‑account management as a pure local quantitative solution.
StockAnalysisSystem
Author: SleepySoft Stars: 326 Repository: https://gitee.com/SleepySoft/StockAnalysisSystem
This application is tailored for the Chinese market and current Chinese accounting policies, offering analysis and reporting features specific to local regulations.
match‑trade
Author: kinbug Stars: 398 Repository: https://gitee.com/flying-cattle/match-trade
match‑trade is a high‑efficiency exchange matching engine built on LMAX’s Disruptor framework, using distributed in‑memory storage and atomic operations. It processes order streams with price‑level independent logic for fast, large‑scale data matching.
Finally, a recommendation to follow the public account “后端面试那些事儿” for daily backend interview questions.
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Programmer DD
A tinkering programmer and author of "Spring Cloud Microservices in Action"
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