Chapter 10 · Quantitative Finance
Itô's Lemma Explained: Stochastic Calculus for Finance
Why the ordinary chain rule breaks for random processes, and how Ito's Lemma fixes it. Derive geometric Brownian motion with a live simulator.
16 min Advanced
Articles tagged Data Science
Chapter 9 · Quantitative Finance
The Random Walk: From Coin Flips to Stochastic Calculus
Watch a coin-flip random walk become the Wiener process, meet the heat equation behind diffusion, and simulate Brownian motion in Python.
15 min Advanced
Data Science
Data Science with Python for Beginners: Complete Learning Path
Learn data science with Python through a beginner-friendly path covering environment setup, pandas data cleaning, and exploratory data analysis.
2 min Beginner
Quantitative Finance
Finding P values and false hope: A Guide to Risk and Quant Finance
From simple bets to complex bond portfolios. Explore the mathematical structures of uncertainty, debt mechanics, and the Python tools used to model them.
2 min Intermediate
Chapter 2 · Data Science
Sweet Bonanza 1000 RTP Analysis: 60,000 Spins
Python analysis of 60,000 Sweet Bonanza 1000 demo spins, covering RTP, dead spins, bonus frequency, payout concentration, and logging errors.
25 min Advanced
Chapter 8 · Quantitative Finance
Value at Risk (VaR) vs. CVaR: A Practical Guide for Investors
Build Value at Risk and Conditional VaR from return data in Python, and see why VaR hides the tail loss that actually bankrupts a portfolio.
11 min Intermediate
Chapter 1 · Data Science
Gates of Olympus RTP Analysis: Results From 40,000 Spins
See what 40,000 demo spins reveal about Gates of Olympus RTP, Ante Bet bonus frequency, dry spells, multipliers, and statistical uncertainty.
23 min Advanced
Chapter 7 · Quantitative Finance
Stock Options 101: A Guide to Calls, Puts, and Pricing
Learn calls and puts from the payoff diagram up, build multi-leg strategies, and see why selling premium is positive-EV with a catastrophic tail.
11 min Intermediate
Chapter 3 · Data Science
Exploratory Data Analysis (EDA) in Python: Complete Guide
Learn exploratory data analysis (EDA) in Python with pandas, Seaborn, and Matplotlib. Explore distributions, correlations, outliers, trends, and relationships.
22 min Beginner
Chapter 6 · Quantitative Finance
Portfolio Allocation: The Math Behind the Efficient Frontier
Derive Markowitz mean-variance optimization and build the efficient frontier from scratch in Python, then see why the optimal portfolio is fragile.
13 min Intermediate
Chapter 2 · Data Science
How to Clean Data in Python with Pandas: 6-Step Guide
Learn how to clean data in Python with pandas step by step, including missing values, duplicates, data types, outliers, validation, and CSV export.
17 min Beginner
Chapter 5 · Quantitative Finance
Stock Analysis with Python: Modeling Prices, Returns & Distributions
Pull real stock prices with yfinance, turn them into daily returns, and see why the normal distribution underestimates crashes in the tails.
10 min Intermediate