LSTM with wavelet transform based data preprocessing for stock price prediction
X Liang, Z Ge, L Sun, M He… - Mathematical Problems in …, 2019 - Wiley Online Library
For profit maximization, the model‐based stock price prediction can give valuable guidance
to the investors. However, due to the existence of the high noise in financial data, it is …
to the investors. However, due to the existence of the high noise in financial data, it is …
Learning to fuse multiple semantic aspects from rich texts for stock price prediction
Stock price prediction is challenging due to the non-stationary fluctuation of stock price,
which can be influenced by the stochastic trading behaviors in the market. In recent years …
which can be influenced by the stochastic trading behaviors in the market. In recent years …
Predicting the Interbank Capital Adequacy Level Based on Financial Data Analysis
Y Du, F Wang, L Shen - Intelligent Environments 2019, 2019 - ebooks.iospress.nl
The adequacy of interbank capital is affected by many factors, including the tightness of the
entire financial market and the ups-and-downs of interest rates. It has great significance for …
entire financial market and the ups-and-downs of interest rates. It has great significance for …
[PDF][PDF] StockAgent: Application of RL from LunarLander to stock price prediction
C Stanton, B Zhu - cs229.stanford.edu
This work implements a neural network to run the deep Q learning algorithm on the Lunar
Lander arcade game (as in figure I), and then adapts this model to instead run on stock data …
Lander arcade game (as in figure I), and then adapts this model to instead run on stock data …