根据股票因子预测未来价格涨跌(tensorflow)
蓝线表示训练集预测准确率的结果
橙线表示测试集预测准确率的结果
- 模型过拟合,改进模型,同时解决过拟合的问题,尝试cnn,svm等模型
- 数据太少,现只拿AAPL 2015-1-1 到2018-6-1的数据做测试,说明性不足
- 指标太少,现拿四个指标做训练,我们需要做的,获取s&p500的股票数据,同时通过tabli计算出合适的指标以供使用
- 现在只能预定义时间点进行训练和测试,希望能做到随意改变时间点。
This project forked from junqilin/stockpredictionbyml
根据股票因子预测未来价格涨跌(tensorflow)
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