moyuweiqing / a-stock-prediction-algorithm-based-on-machine-learning Goto Github PK
View Code? Open in Web Editor NEW(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
作者牛逼,有没有关于贝叶斯因果网络的预测模型?
看官方给的文档应该是要换成.iloc。但是一直存在一个
A value is trying to be set on a copy of a slice from a DataFrame
的警告不知道要如何解决。
mlpredict_line.py(使用ARIMA?)和几个机器学习的输出,预测时间无法大于最近一次收盘日期。我希望能够推测未来几天的数据,但是一直没有进展。还希望有人提点。
请问有数据吗
小白提问。
代码是根据当天的开盘、收盘、最高价来预测当天的涨跌,这不能其预测第二天涨跌的效果,所以加入当天的p_change, price_change后train datatset和test dataset预测准确性变成了1。
应当把 self.tsData["(t+1)-(t)"] = self.tsData['close'] - self.tsData['close'].shift(-1) 改为
self.tsData["(t+1)-(t)"] = self.tsData['close'].shift(1) - self.tsData['close']
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