danielprasetyo7952 / Tugas-Akhir

Documentation of thesis on Foreign Exchange Forecasting with LSTM and Genetic Algorithm

Tugas Akhir

This repository that contains documentation of my thesis on Foreign Exchange Forecasting. This repository serves as a record of the work that has been done and provides valuable insights into the methods and techniques used in the thesis.

Methods

Methods that are implemented in the thesis:

• LSTM Model
• Genetic Algorithms for Optimization

Usage

1. To use this repository, simply clone it to your local machine
2. Install the dependencies from requirements.txt file with pip install -r requirements.txt
3. After all dependencies are installed, you can run the notebook

Note : It should be noted that I am using Python Version 3.10, so if some dependencies cannot be installed then you should install Python Version 3.10

Future Plan

• Use Streamlit to create the model GUI -- Repository