Dissertation Project Overview

Introduction

This repository contains the work and files related to my dissertation project. The project encompasses a broad range of topics, including traditional trading techniques, machine learning applications in trading, and hardware-level design using FPGA and SOC.

Data Source

Part of the data used in this project comes from the Nigeria Stock Exchange All Share Index, which is available on Kaggle. You can access the dataset here.

Structure

• .git: Contains the Git version control history and metadata.
• Data: This directory houses the datasets and data files used across various segments of the project.
• FPGA SOC: Here, you'll find files and designs related to FPGA and SOC, highlighting the hardware aspect of the project.
• Machine Learning Trading: This section includes machine learning models and algorithms applied in the context of trading.
• Traditional Trading Indicators(Techniques): Contains implementations and explorations of traditional trading indicators and techniques.

Usage

Each directory is structured to contain the relevant files and code for that specific aspect of the project. Navigate to the respective folders to access and review the contents.