Stock picking with machine learning
This study focuses on the integration of both Fundamental and Technical Analysis in stock picking with the machine learning model, Multilayer Perceptron (MLP). We will analyze time-series stock data to identify optimal features for training the MLP model and assess the predictability of the machine...
Main Author: | Ong, Glenna Xianyu |
---|---|
Other Authors: | Wang Lipo |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172691 |
Similar Items
-
Stock picking and analysis of Singapore energy and commodity securities
by: Ng, Ken Jun Xian
Published: (2023) -
Stock prediction using machine learning
by: Ang, Eugene Joon Kit
Published: (2020) -
Stock prediction and trading using low-shot machine learning
by: Tee, Chee Zhang
Published: (2020) -
A cross segments examination of using neural networks for stock picking on Wall Street
by: Tan, Shi Wei.
Published: (2009) -
Predictive analysis comparison of energy stock prices using machine learning models
by: Valentino, Egan
Published: (2023)