Data before ego
A thesis has to survive contact with the numbers. When the evidence changes, the position should change with it.
The person behind
the process.
Alpha One is where I turn curiosity about markets into rules that can be tested, challenged, and improved.
independent by design
Why Alpha One
Built by an investor,
Built by an investor,
not a black box.
Alpha One is my independent quantitative investing project: a place to research systematic ideas, put real rules behind them, and publish the results without hiding the uncomfortable parts.
I combine machine-learning and algorithmic signals with fundamental checks. The goal is not to predict every move. It is to build a process that can be explained, tested, and improved.
I believe good investing work should leave a trail: what the thesis was, what would prove it wrong, how risk was sized, and what changed afterward.
Working principles
What guides
What guides
the work.
Systems over impulse
Clear entries, exits, and sizing rules create consistency when markets are doing their best to provoke emotion.
Transparency by default
The live portfolio and research notes make the process visible—including the parts that still need work.