Pinned Repositories
backtrader-pyqt-ui
Easy to use backtrader UI
Dapp-Learning
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
nebula
A high performance distributed Graph Database
QLExpress
QLExpress is a powerful, lightweight, dynamic language for the Java platform aimed at improving developers’ productivity in different business scenes.
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%.
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.
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
guideshiny's Repositories
guideshiny/backtrader-pyqt-ui
Easy to use backtrader UI
guideshiny/Dapp-Learning
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
guideshiny/nebula
A high performance distributed Graph Database
guideshiny/QLExpress
QLExpress is a powerful, lightweight, dynamic language for the Java platform aimed at improving developers’ productivity in different business scenes.
guideshiny/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%.
guideshiny/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.
guideshiny/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io