这是一个尝试使用RNN预测股票市场的项目。项目的构思来源这里 数据源来自Tushare 模型构建使用Keras
在试验过程中发现,采用对每支股票单独训练一个模型进行预测的方案,比将所有股票数据合并来训练一个模型的方案,效果更好。 训练RNN模型时,发现activation使用softsign,速度更快。
- 寻找更合适的ydata
- 将公司的基本面数据加入模型中进行训练
License: GNU General Public License v3.0
楼主牛逼,感谢分享
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