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guideshiny's repositories

backtrader-pyqt-ui

Easy to use backtrader UI

Language:PythonMIT100

Dapp-Learning

Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.

Language:SolidityMIT100

nebula

A high performance distributed Graph Database

Language:C++100

QLExpress

QLExpress is a powerful, lightweight, dynamic language for the Java platform aimed at improving developers’ productivity in different business scenes.

Language:JavaApache-2.0100

Quantitative-Trading-Strategy-Based-on-Machine-Learning

Firstly, multiple effective factors are discovered through IC value, IR value, and correlation analysis and back-testing. Then, XGBoost classification model is adopted to predict whether the stock is profitable in the next month, and the positions are adjusted monthly. The idea of mean-variance analysis is adopted for risk control, and the volatility of the statistical benchmark index (HS300 Index) is used as a threshold for risk control. Back-testing results: the annual return rate is 11.54%, and the maximum drawdown is 17.91%.

Language:Python100

Quantropy

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

Language:PythonMIT100

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

Language:Python000