I'm a 20-year-old from Sweden with a deep passion for financial markets and programming. I specialize in building data-driven strategies that uncover inefficiencies and aim for consistent, risk-managed returns.
Over the past few years, I've developed and refined several trading models across different areas - from sports betting to stock indices - always focused on testing, iteration, and real-world performance.
Two fully automated sports betting models designed to identify value opportunities on bookmakers. These models analyze odds and calculate expected value to place bets with positive expected returns. Explore the results for March 2025 below.
Note: Over this period, a 10,000 SEK starting balance could have theoretically grown to 4,894,828 SEK through compounding and increasing stakes. In practice, bookmaker limits take effect much earlier - while some accounts have exceeded 100,000 SEK, most face restrictions before that, making account rotation necessary to continue scaling.
1 unit (u) typically equals 1% of your total bankroll.
A proprietary algorithm that tracks SEC Form 4 filings to spot high-conviction insider trades, delivering strong outperformance between March and November 2023.
The model looks for meaningful patterns in executive and director trades, using custom filters and risk management to build a balanced portfolio.
Note: Returns are shown gross, excluding broker fees and spreads. Net return was approximately 103%. While the short test period likely contributed to strong results, longer-term backtesting also indicated strong performance.
A systematic stock rotation strategy for the Nasdaq-100, using multi-timeframe momentum analysis to identify and invest in market leaders. The model reallocates capital monthly to stay aligned with prevailing market strength.
Note: Backtested from 1990 to present, using monthly rebalancing and low transaction costs. I personally followed this strategy from early 2023 to December 2024, exiting based on my market outlook at the time. The chart does not perfectly align with the time axis (x-axis).
I've always enjoyed math - school was fun, but I often found myself more curious about the kinds of problems and patterns you don't see in textbooks. I've always wanted to create things of my own, to understand how systems work and build something from scratch.
Around the age of 13, I started teaching myself programming. I watched a few YouTube videos here and there, but mostly, I learned by doing - building simple games and experimenting on my own. As I got older, around 16, I became interested in the stock market, and naturally, I shifted my focus to building tools and models for investing.
Over time, I've probably tested thousands of models across various areas. 99.9% of them didn’t work as hoped - but every failure taught me something valuable. And when you finally build something that does work, it makes the whole process worthwhile. What I enjoy the most is learning and improving over time, and seeing ideas turn into something real.
Feel free to reach out if you have questions or opportunities to discuss. I'm always open to connecting! You can contact me in either English or Swedish.