Creating Data Driven Content From Python Models That:
1. Predict Underdog Football Match Winners – Explore weekly underdog predictions for football matches in Europe's top five leagues from developed Python statistical models. Content covers factors behind model performance, ways to improve accuracy, and models’ historical win ratios using previous weeks’ matches.
2. Execute Systematic Trades – Inspired by Warren Buffett’s value investing approach, I’ve created a “Value Investing Index” comprising stocks trading at or below their intrinsic value. Stocks selected using this approach are expected to appreciate over time as the market recognizes their true worth. To supplement the value-investing approach, I use a multiples-based method to filter stocks based on their performance relative to the market. Content focuses on factors driving performance, such as earnings power and balance-sheet strength, and the performance relative to the popular growth indices, the S&P 500 Growth Index and the Russell 1000 Growth Index.
• You can also find some other fun stuff: a “Money & Momentum Blog”, covering money and personal development, and a “Project Archive” featuring published works in analytics and financial research.