amandaeamable/ML-GSE-Ghana-Stock-Exchange-

# GSE Sentiment Analysis & Stock Prediction System A comprehensive research platform for analyzing investor sentiment and predicting stock movements on the Ghana Stock Exchange (GSE) using advanced machine learning, natural language processing, and predictive analytics techniques. ## 🌐 Live Deployment **Access the GSE Sentiment Analysis System at:** **8gbpy8kder7stfdyuj72t7.stre… *Real-time sentiment analysis and stock prediction platform for Ghanaian investors and researchers.* ## 📖 Table of Contents - Overview - Development Process - Quick Start - System Architecture - Data Sources & Companies - Features & Capabilities - Usage Examples - Dashboard Guide - Research Methodology - Troubleshooting - Contributing ## 🎯 Overview This system implements a **hybrid automated-manual sentiment analysis framework** for the Ghana Stock Exchange, addressing the research gap in applying machine learning to emerging market investment decisions. The platform combines: - **13 data sources** including news websites, social media, and manual expert input - **5 sentiment analysis methods** (VADER, TextBlob, Lexicon, Hybrid, Advanced BERT) - **12 machine learning algorithms** for price movement prediction - **Real-time processing** with 70-75% prediction accuracy - **Interactive research dashboard** for analysis and validation **Key Achievement:** Establishes Granger causality between sentiment and price movements in 8/16 GSE companies, demonstrating the predictive power of sentiment-based analysis in emerging markets. ## 🛠️ Development Process ### Phase 1: Research Foundation (Weeks 1-2) - Literature review of behavioral finance and sentiment analysis - Analysis of GSE market characteristics and data availability - Design of multi-source data collection framework ### Phase 2: Core System Development (Weeks 3-6) - Implementation of sentiment analysis pipeline (VADER, TextBlob, BERT) - Development of web scraping infrastructure for Ghanaian news sources - …