tushare行情数据本地化存储、行情数据分析、形态选股
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Updated
Apr 6, 2021 - Python
tushare行情数据本地化存储、行情数据分析、形态选股
Stock-Robo-Advisor project including backtesting, simulating and practicality for future.
This is a project of portfolio optimization using Quantum-inspired Tabu Search and Trend Ratio
A stock investment assistant tool which utilized supervised machine learning models such as Logistic Regression, Random Forest, and Support Vector Machine to predict the stock’s 60 days’ return rate. If a specific stock outperformed the average return rate, the model would recommend to hold.
Uses SQL DB and API (live prices) to display info, prices and logo. Built using Flask
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