Stock market equity advisory tool using analytic hierarchy process and single-layer perceptron neural network
These days, there are a few of application which can help the user to conducting stock comparison and stock rating. However, these applications cannot directly predict the stock trend for the user whether the stock is in an uptrend or downtrend. They also do not allow users to choose their pre...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/5992/ http://eprints.utar.edu.my/5992/1/fyp_IA_2023_LWM.pdf |
| Summary: | These days, there are a few of application which can help the user to conducting
stock comparison and stock rating. However, these applications cannot directly predict
the stock trend for the user whether the stock is in an uptrend or downtrend. They also
do not allow users to choose their preferred indicators during stock comparisons or
predictions. Therefore, this project will deliver a mobile Android application with a
dynamic stock prediction model which will be using Analytic Hierarchy Process (AHP)
and Artificial Neural Networks (ANN) of Single-Layer Perceptron Neural Network as
a combined technique to predict the stock trend. In this application, users can choose
multiple or one of their preferred indicators from the fundamental indicator list and
technical indicator list which have been provided in the application. The chosen
indicators will be used as the input of the stock predictive model in the application and
these chosen indicators will become the inputs of AHP and Single-Layer Perception
Neural Network algorithm. Through this “Stock Market Equity Advisory Tool”, users
can easily know advice on whether it is the right time for them to sell the stock or buy
the stock from this tool according to their investment goals. Besides, this application
will make the stock prediction process more user-friendly and accessible. |
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