Ha 等人在《Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models》中提出将 CNN 用于定量股票选择策略,以确定股市趋势,然后使用 LSTM 预测股票价格,并提出一种混合神经网络模型,用于定量择时策略,以增加利润。Jiang 等人在《Stock Price Forecast Bas...
Ha 等人在《Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models》中提出将 CNN 用于定量股票选择策略,以确定股市趋势,然后使用 LSTM 预测股票价格,并提出一种混合神经网络模型,用于定量择时策略,以增加利润。 Jiang 等人在《Stock Price Forecast Based...
Price to Book (P/B)N/A Price to Sales (P/S)0.00 Price to Cash Flow (P/CF)0.00 P/FCF Ratio0.00 Enterprise Value/Market Cap2.54 Enterprise Value/RevenueN/A Enterprise Value/Gross ProfitN/A Enterprise Value/Ebitda7.64 Forecast 1Y Price Target$14.70 Price Target Upside237.16% Upside Rating...
Ha 等人在《Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models》中提出将 CNN 用于定量股票选择策略,以确定股市趋势,然后使用 LSTM 预测股票价格,并提出一种混合神经网络模型,用于定量择时策略,以增加利润。 Jiang 等人在《Stock Price Forecast Based...
Jiang 等人在《Stock Price Forecast Based on LSTM Neural Network》中利用 LSTM神经网络和 RNN 来构建模型,发现 LSTM 可以更好地应用于股票预测。 2019 年 在论文《Stock closing price prediction based on sentiment analysis and LSTM》中,Jin 等人在模型分析中增加了投资者的情感倾向,并引入经验模态分解(EMD)...
PredictIt is a real-money political prediction market, a stock market for politics. A project of Victoria University of Wellington, PredictIt has been established to research the way markets can forecast future events. NinjaCart NinjaCart is a platform that connects farmers to end retailers such as...
Jiang 等人在《Stock Price Forecast Based on LSTM Neural Network》中利用 LSTM神经网络和 RNN 来构建模型,发现 LSTM 可以更好地应用于股票预测。 2019 年 在论文《Stock closing price prediction based on sentiment analysis and LSTM》中,Jin 等人在模型分析中增加了投资者的情感倾向,并引入经验模态分解(EMD)...
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Jiang 等人在《Stock Price Forecast Based on LSTM Neural Network》中利用 LSTM 神经网络和 RNN 来构建模型,发现 LSTM 可以更好地应用于股票预测。 2019 年 在论文《Stock closing price prediction based on sentiment analysis and LSTM》中,Jin 等人在模型分析中增加了投资者的情感倾向,并引入经验模态分解(EMD...
Jiang 等人在《Stock Price Forecast Based on LSTM Neural Network》中利用 LSTM 神经网络和 RNN 来构建模型,发现 LSTM 可以更好地应用于股票预测。 2019 年 在论文《Stock closing price prediction based on sentiment analysis and LSTM》中,Jin 等人在模型分析中增加了投资者的情感倾向,并引入经验模态分解(EMD...