STOCHASTIS
A cool quant · ML · NNN journey. Learn, simulate, and master quantitative finance the interactive way.
Tutorials
Interactive modules that turn theory into intuition. Simulate, visualize, and compute in the browser.
Statistics
Distributions, hypothesis testing, regression, and inference, through interactive visualizations.
Probability
Random variables, Bayes, Markov chains, and stochastic processes, built from first principles.
MC / Quant
Monte Carlo methods, option pricing, and quant trading models. Simulate markets in real time.
About
STOCHASTIS is an interactive learning platform where quantitative finance meets intuition.
We build tools that turn abstract math into living systems. Simulate a random walk, tune a neural network, price an option, and watch the numbers respond in real time. No passive videos. No static PDFs. Just code, visuals, and markets you can touch.
Designed for students, traders, and researchers who want to understand the machinery behind quant models, not just use them.
BM
Beyza Mercan
Beyza Mercan holds a Bachelor's degree in Information Engineering from Yonsei University and has been working as a Quantitative Analyst, focused on statistical modeling, machine learning, and algorithmic trading research. She built STOCHASTIS to bridge the gap between academic quant theory and real, hands-on practice, giving students and aspiring analysts the interactive tools she wishes she had during her own journey.
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