- Automated equity screening tool, designed for the for the Oslo Stock Exchange
- The first step is regression-based fundamental analysis. The second step is a relative trend based ranking system on selected metrics. A filter resolves data gaps and tests for liquidity. Automation is conducted monthly and decides the top 25 stocks to trade.
- A separate daily automation pulls the latest price data, runs technical analysis (moving averages, RSI, MACD, Bollinger Bands etc…), and is combined with monthly news sentiment tracker that relies on AI.
- Written in Python, in a step by step manner, using AI to speed up the coding process. It is containerised using Docker then QA’ed, and deployed via Github to Google Cloud.
Fundamental Analysis Top 25 Tracker
Backtesting Trading Strategy
Further details on fundamental analysis to determine top 25 is explained here (coming soon)
Further details on how to leverage this information for the purpose of implementing a preferred trading strategy is explained here (coming soon)
Link to GitHub is here (coming soon)
The project demonstrates skills across data engineering, quantitative modelling, cloud deployment, and building production style automated systems from scratch.
Further of explanation of the structure of the code
