Explore the noise.
Look beyond conventional datasets.
Turn unusual observations into testable questions.
BEYOND THE NOISE:ALPHA AND RISK.
Deep Insights through Alternative Data, AI & Quantitative Modelling
Our Methodology: Mining chaos for patterns.THE PHILOSOPHY
ALPS × EPSILON
Grounded in structure.
Open to the unknown.
Rooted in the Swiss Alps, Alpsilon uses AI to uncover alpha within epsilon. The Alps inspire perspective and discipline; epsilon represents what a model cannot explain. We explore that residual through alternative data, quantitative modeling and AI methods, seeking alpha through rigorous hypotheses and evidence.
OUR METHODOLOGY
FROM NOISE TO SIGNAL
Mining chaos
for patterns.
Alpsilon Research focuses on alternative data and AI methods for questions in quantitative trading, model risk and portfolio management. Each study starts with a testable hypothesis.
Test the pattern.
Evaluate quantitative and AI model risk with time-aware tests and independent baselines. Check leakage, costs and multiple testing.
QUANTITATIVE MODELINGEarn the signal.
Document provenance, uncertainty and failure cases.
Publish evidence before making claims.
RESEARCH PARTNERSHIPS
START WITH A QUESTION
Let's explore
what others overlook.
Discuss an alternative dataset, a quant research question or an AI project collaboration. Explore the fit for future signal subscriptions and research platform access.
Contact UsResearch collaborations are scoped individually. Signal subscriptions and the research platform are in development.