jialuechen/trademind
Hybrid Event-driven and Vectorized Strategy Backtesting Library
This platform helps quantitative traders and hedge fund managers develop, test, and deploy automated trading strategies. You feed in historical market data and your custom trading rules, and it outputs performance metrics, visualizations of hypothetical trades, and a system ready to execute trades with low latency. It's designed for professionals needing high-performance, real-time algorithmic trading capabilities.
123 stars. No commits in the last 6 months.
Use this if you are a quantitative trader or hedge fund looking to build and deploy high-frequency or algorithmic trading strategies with rigorous backtesting and real-time execution capabilities.
Not ideal if you are a casual investor looking for a simple tool to manage personal investments or if you prefer manual trading.
Stars
123
Forks
6
Language
C++
License
Apache-2.0
Category
Last pushed
Jun 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jialuechen/trademind"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantylab/rltrader
파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)
matlab-deep-learning/reinforcement_learning_financial_trading
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
erhardtconsulting/tensortrade-ng
TensorTrade-NG is an open source Python framework for building, training, evaluating, and...
TradeMaster-NTU/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement...
LeonardoBerti00/DeepMarket
DeepMarket is a framework for performing Limit Order Book simulation with Deep Learning. This is...