letianzj/QuantResearch
Quantitative analysis, strategies and backtests
This project helps quantitative analysts and traders develop, backtest, and analyze algorithmic trading strategies. It takes historical market data and financial models as input, and provides insights into strategy performance, risk, and optimal portfolio allocation. The ideal end-user is a quantitative researcher or systematic trader seeking to build and evaluate automated trading systems.
2,836 stars. No commits in the last 6 months.
Use this if you are a quantitative analyst or systematic trader looking to explore various financial models, optimize portfolios, and rigorously backtest trading strategies using historical market data.
Not ideal if you are a novice investor looking for simple 'buy' or 'sell' signals without understanding the underlying quantitative methodologies.
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Jupyter Notebook
License
MIT
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Last pushed
Aug 26, 2023
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