StefanoPenazzi/chameleonQuant
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.
This framework helps quantitative analysts develop and test new algorithmic trading strategies for financial markets. You feed it historical financial data, and it outputs performance metrics and visualizations for various trading strategies, including those leveraging machine learning. It's designed for quants who want to build and refine their own trading systems.
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Use this if you are a quantitative analyst or trader looking to programmatically design, backtest, and optimize innovative trading strategies using historical market data.
Not ideal if you're looking for a pre-built trading bot or a tool that doesn't require programming knowledge to implement strategies.
Stars
19
Forks
9
Language
Java
License
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Category
Last pushed
Jan 04, 2022
Commits (30d)
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