zhenghan3 / Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

Date Created 2021-07-01 (3 years ago)

Commits 10 (last one 3 years ago)

Stargazers 66 (0 this week)

Watchers 1 (0 this week)

Forks 20

License mpl-2.0

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RepositoryStats indexes 595,856 repositories, of these zhenghan3/Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method is ranked #389,820 (35th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #74,132/119,431.

zhenghan3/Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method is also tagged with popular topics, for these it's ranked: deep-learning (#6,203/8512), machine-learning (#5,894/8063), quantitative-finance (#163/204)

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zhenghan3/Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

xgboost deep-learning machine-learning quantitative-finance quantitative-trading quantitative-analysis

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The only known language in this repository is Python

updated: 2024-12-16 @ 12:42pm, id: 381984802 / R_kgDOFsSgIg