Daniel Olapade

Info

Engineer-In-Training

Based In Toronto.

Currently a Service Engineer at Fike.

Developing expertise in product design.

Enjoys travelling & fun side projects.

Case Study

2025

Penny Logic
While surfing the net, I came across a fable: Would you prefer a million dollars upfront or a penny that doubles every day for 30 days? Like most, I chose the million, unaware that the doubling penny would balloon into over 10 million by day 30.

This got me thinking—could exponential growth like this be a reality? While it’s impossible for me to literally double a penny every day, I set out to create a system that simulates this growth in a practical, responsible, and automated way.

Penny Logic is an algorithm that uses Machine Learning (ML) to identify low-risk, high-reward opportunities across various markets, compounding profits over time for steady growth.

Disclaimer: This is a case study, not financial advice, nor is it intended to promote gambling. Use at your own discretion.

View source code.