Why does classical calculus fail for random variables? Learn the intuition behind Itô's Lemma, its formal derivation, and how to solve Geometric Brownian Motion (GBM) in Python.
Discover how a simple coin flip evolves into the mathematics powering modern derivative pricing. From Binomial Trees to the Wiener Process and the Heat Equation; we handle all in Python.
A statistical analysis of 60,000+ Sweet Bonanza 1000 spins using Python, bootstrap confidence intervals and hypothesis testing to examine RTP, dead spins, multipliers and volatility.
Stop using abstract volatility. Learn how to calculate Value at Risk (VaR) and Conditional VaR (CVaR) using Python to understand your actual downside potential.
Using Python, statistics, and 40,000 spins to analyze RTP, variance, bonus frequency, and volatility in Gates of Olympus through hypothesis testing and simulation.
Unlock the basics of stock options. Learn the difference between calls and puts, American vs. European styles, and how Greeks like Delta and Theta impact pricing.
Turn raw data into actionable insights. Learn how to use Seaborn and Matplotlib for Exploratory Data Analysis (EDA), including heatmaps, Q-Q plots, and distribution analysis.
Master the quantitative core of Modern Portfolio Theory. Learn how to use Markowitz optimization and Python to build an efficient frontier for asset allocation.