In today's dynamic stock market, accurate prediction stands as a linchpin for risk mitigation and amplified investment returns. This study introduces an innovative fusion model intertwining Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), inclusive of specialized units like Long ...
plt.plot(real_stock_price, color = 'red', label = 'Real TATA Stock Price') plt.plot(predicted_stock_price, color = 'blue', label = 'Predicted TAT Stock Price') plt.title('TATA Stock Price Prediction') plt.xlabel('samples') plt.ylabel('TATA Stock Price') plt.legend() plt.show()...
], pred_train, color = 'blue', label = '预测值') plt.title('Stock Price Prediction') plt....
# 预测与实际差异的可视化 plt.plot(real_stock_price, color ='red', label ='Real TATA Stock Price') plt.plot(predicted_stock_price, color ='blue', label ='Predicted TAT Stock Price') plt.title('TATA Stock Price Prediction') plt.xlabel('samples') plt.ylabel('TATA Stock Price') plt.le...
plt.plot(real_stock_price, color='red', label='Real MaoTai Stock Price') plt.plot(predicted_stock_price, color='blue', label='Predicted MaoTai Stock Price') plt.title('MaoTai Stock Price Prediction') plt.xlabel('Time') plt.ylabel('MaoTai Stock Price') ...
plt.plot(real_stock_price,color='red',label='Real TATA Stock Price') plt.plot(predicted_stock_price,color='blue',label='Predicted TAT Stock Price') plt.title('TATA Stock Price Prediction') plt.xlabel('samples') plt.ylabel('TATA Stock Price')...
# 预测与实际差异的可视化plt.plot(real_stock_price, color = 'red', label = 'Real TATA Stock Price')plt.plot(predicted_stock_price, color = 'blue', label = 'Predicted TAT Stock Price')plt.title('TATA Stock Price Prediction')plt.xlabel('samples')plt.ylabel('TATA Stock Price')...
predicted_stock_price=regressor.predict(X_test)# 逆归一化 predicted_stock_price=sc.inverse_transform(predicted_stock_price)# 模型评估print('预测与实际差异MSE',sum(pow((predicted_stock_price-real_stock_price),2)
这篇论文《ADARNN: Adaptive Learning and Forecasting for Time Series》提出了一种新的时间序列预测方法,重点解决了非平稳时间序列中的**时序协变量偏移(Temporal Covariate Shift, TCS)**问题。论文中涉及多个应用领域,其中金融相关的内容主要集中在股票价格预测(Stock Price Prediction)部分。以下是对论文中金融相关...
plt.title('MaoTai Stock Price Prediction') plt.xlabel('Time') plt.ylabel('MaoTai Stock Price') plt.legend() plt.show() 第九步:评估模型。 ###evaluate### # calculate MSE 均方误差 ---> E[(预测值-真实值)^2] (预测值减真实值求平方后求均值) mse = mean_squared_error(predicted...