Deep Learning based Enhanced Stock Market Trading and Patterns Oriented Improved Stock Selection

Khichada, Dipesh Laxmidas (2023) Deep Learning based Enhanced Stock Market Trading and Patterns Oriented Improved Stock Selection. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research employs sophisticated deep learning methodologies utilizing TensorFlow 2 and Keras to improve stock market trading and identify patterns. The main objective is to create strong machine learning models that can accurately detect intricate patterns and make predictions in the volatile stock market. We utilize technical indicators and analyze historical data to forecast future market trends. This research utilizes sophisticated LSTM models and explores various activation functions to determine the most precise and accurate model behavior. In addition, our approach incorporates real time data to enhance accuracy. We assess the performance of these models by employing metrics such as RMSE, MAE, and R2, showcasing the effectiveness of LSTM models, specifically when utilizing the TanH activation function, in predicting short-term stock market trends. This research enhances comprehension of stock market dynamics, providing valuable perspectives for investors and emphasizing the substantial capacity of deep learning in financial evaluation.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Yaqoob, Abid UNSPECIFIED
Uncontrolled Keywords:	Deep Learning; Long Short-Term Memory; Price Prediction; Pattern Detection; Technical Indicators; Trading; Optimizing Strategies
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HG Finance > Investment Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HG Finance > Investment > Stock Exchange
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	14 May 2025 13:42
Last Modified:	14 May 2025 13:42
URI:	https://norma.ncirl.ie/id/eprint/7548

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