Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 25, 2024Applied and Computational EngineeringOpen Access

Empirical study on the performance of various machine learning models in predicting stock price movements as a binary classification task

View Full Paper
Ask AI
Bookmark
Share

Authors

KLKeqian LiuALAng LiZhengzhou University of Light IndustryXLXinran LinUniversity of Electronic Science and Technology of China

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Liu et al. (2024) studied this question.

synapsesocial.com/papers/68e5f1bfb6db6435875869b6https://doi.org/10.54254/2755-2721/55/20241403
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Forecasting Stock Prices of Companies Producing Solar Panels Using Machine Learning Methods2022 · 39 citations
  2. 2A Hybrid Model to Predict Stock Closing Price Using Novel Features and a Fully Modified Hodrick–Prescott Filter2022 · 27 citations
  3. 3The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction2021 · 258 citations
  4. 4Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning2022 · 86 citations
  5. 5Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis2020 · 465 citations