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
买啥以及买多少的问题(什么时候买是另外一个问题)what to buy and how much to buy in history for backtesting and in time for livetrading.
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