Jamaica-stock-exchange-quantative-analysis
Contributing Members
Team Leads (Contacts) : [Samuel Lawrence]: http://samuel-lawrence.co.uk/
-- Project Status: [Complete]
Model Deployed at: https://jse-dashboard.herokuapp.com/
Project phases:
- Extract Data from JSE
- Format Data for analysis
- perform EDA of data
- Model Creation
Project Intro
The objective of this project was to create a streamlined approach for deriving financial analysis on stocks from the jamaica stock exchange.
Methods Used
- Data extraction
- Data Analysis
- Machine Learning - Clustering
- Data Visualization
- Ratio Analysis
- Technical Analysis
Technologies
- Python
- Pandas
- Matplotlib
- FFN - Financial Functions for Python
Project Description
The Jamaica stock exchange has been known as one of the best performing stock markets around the world with more and more companies choosing to raise capital via equity. To my knowledge there has never been a quantitative approach through the use of python to generate statistics about different companies.
Real Life Implications
While there are quite a few layers of analysis from the stocks chosen, the next step in this project would be to incorporate the entire index on a large scale, as well as provide more data analysis on the returns over the period. In addition to deploying a model to production