Tech sector project: Spring 2025
This project aims to develop a tool that evaluates a company's impact within its niche and assesses its growth potential. By leveraging API data and ML concepts, this model will provide insights and scores for better decision-making in finance and investment contexts.
Project Goals:
Market Impact Analysis: Quantify how much a company's technology or products impact its specific market niche.
Growth Potential Scoring: Provide a data-driven score to estimate a company's future growth potential.
Data-Driven Insights: Utilize APIs to fetch real-time and historical data, such as financial metrics, market share, and competitor comparisons.
Algorithmic Assessment: Employ machine learning techniques to derive meaningful scores and insights from the collected data.
Features:
API Integration: Collect data from financial and market-related APIs for comprehensive analysis.
Market Share Comparison: Compare a company’s market share to its competitors.
Stock Performance Analysis: Analyze historical and current stock performance to identify trends.
Growth Potential Score: Use machine learning models to assign a score based on multiple factors, including market impact, technology advancement, and financial performance.
Tech Stack: TBD
API(s): Financial Modeling Prep
Machine Learning Frameworks: TBD