However, it is important to note that stock price targets are not guaranteed, and the actual price of a stock can differ significantly from the target due to various factors such as market conditions, economic events, and company developments. ...
ABSTRACT:This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future. The key novelty is that we propose to employ adversarial training to improve the generalization of a recurrent...
The generator of our model is designed by LSTM with its strong ability in processing time series data.We choosethe daily data in the last 20 years with 7 financial factors to predict the future closing price. The 7 factors of the stockdata in one day are High Price, Low Price, Open Pri...
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1.We model long-term events as events over the past month, mid-term events as events over the past week, and short-term events as events on the past day of the stock price change. As shown in Figure 3, the prediction model learns the effect of these three different time spans on sto...