Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement
Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces the investment risk. Machine learning (ML) mode...
Main Authors: | Ernest Kwame Ampomah, Zhiguang Qin, Gabriel Nyame |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/11/6/332 |
Similar Items
-
Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism
by: Xiaodong Zhang, et al.
Published: (2021-04-01) -
Importance of Event Binary Features in Stock Price Prediction
by: Yoojeong Song, et al.
Published: (2020-02-01) -
Predicting Stock Price Movement Using Support Vector Machine Based on Genetic Algorithm in Tehran Stock Exchange Market
by: Saeeid Fallahpour, et al.
Published: (2013-10-01) -
Movement of stock price and trading volume--: a comparison of Shanghai and Shenzhen stock market.
Published: (2000) -
Rights issue and stock price movement in Hong Kong.
Published: (1993)