Explore the intersection of AI and finance. Learn how machine learning algorithms can revolutionize stock market prediction, giving you a competitive edge in trading.
In stock market prediction using machine learning, thelong short-term memory network, or LSTM, stands as a valuable tool. It’s a specialized type ofrecurrent neural network (RNN)designed to capture and understand complex patterns intime-seriesdata, making it particularly well-suited for stock mar...
Stock MarketThe stock market is notorious for its intense uncertainty and instability, and researchers and investors alike often try a detailed and useful way to direct their stock trading. Long short-term memory (LSTM) neural networks are a subtype of Recurrent neural networks (RNNs) having ...
The machine learning models are also widely used in prognosis, prevalence, and mortality analysis of COVID-1922,23. Complex relations between news, drugs, and financial networks allow researchers to investigate the company and market operating principles on a system-wide level rather than case-...
Accurate stock market prediction is of great interest to investors; however, stock markets are driven by volatile factors such as microblogs and news that
Markus Leippold, Qian Wang, Wenyu Zhou, Machine learning in the Chinese stock market, Journal of Financial Economics, Volume 145, Issue 2, Part A, 2022, Pages 64-82, ISSN 0304-405X, https://doi.org/10.1016/j.jfineco.2021.08.017. ...
(2022). However, LSTM model is more appropriate in short-term stock price forecasting in the field of machine learning. In addition, this method has not been widely used in the Vietnamese market. Furthermore, Vietnam’s stock market was established in 2000, but it has developed rapidly ...
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for the US market, liquidity emerges as the most important predictor...
Machine learningBig data analysisPractitioners allocate substantial resources to technical analysis whereas academic theories of market efficiency rule out technical trading profitability. We sdoi:10.2139/ssrn.3233119Brogaard, JonathanZareei, Abalfazl
Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques The stock market is viewed as an unpredictable, volatile, and competitive market. The prediction of stock prices has been a challenging task for many years. In fact, many analysts are highly interested in the research ...