Our donation system is currently under development. Please check back later.
A nonprofit quantitative investment fund built and managed by high school students with a passion for finance and technology
YTD Return
+19.2%
Outperformance
+12.2%
+19.2%
Our year-to-date performance
+7.0%
S&P 500 year-to-date
+12.2%
Alpha generated
2.1
Risk-adjusted return
Capturing price trends across multiple timeframes using proprietary momentum indicators.
Exploiting temporary price discrepancies between related securities.
Using machine learning to forecast short-term market movements.
Almor13 is a nonprofit quantitative investment fund entirely built and managed by high school students. Our mission is to provide real-world financial experience to young minds while delivering exceptional returns through data-driven investment strategies.
We combine fundamental analysis with advanced quantitative models to identify market inefficiencies and capitalize on them. Our strategies are built on:
At Almor13, we're constantly developing and refining new algorithms through rigorous research and backtesting. Our proprietary research pipeline includes:
Every strategy we deploy undergoes extensive validation, with only the most robust algorithms making it to our production environment. This commitment to research excellence is what drives our consistent outperformance.
We believe in learning by doing, providing students with hands-on experience in finance and technology.
We constantly explore new strategies and technologies to stay ahead in the ever-evolving financial markets.
We operate with complete transparency and adhere to the highest ethical standards in all our activities.
Founder & CIO
Alexander founded Almor13 during his freshman year of high school after discovering his passion for quantitative finance. With a background in competitive programming and mathematics, he saw an opportunity to apply computational methods to financial markets.
Starting with just a simple momentum strategy, Alexander has since developed Almor13 into a sophisticated quantitative fund that leverages machine learning and statistical analysis to consistently outperform market benchmarks.
"Our goal is not just to generate returns, but to demonstrate that age is not a barrier to innovation in finance. We're proving that with the right approach, even high school students can develop trading strategies that compete with professional funds."
Lead Developer
Builds our algorithmic trading infrastructure and optimizes execution strategies.
Risk Manager
Oversees portfolio risk metrics and develops hedging strategies to protect capital.