The Volatility Trading Bible
A first of its kind quantitative trading course. Real models, real strategies, real profits.
More Than You Ever Wanted To Know About Implied Volatility: Part I
More Than You Ever Wanted To Know About Implied Volatility: Part II
So, You Think You Know Volatility?
Python Setup
Database Setup
Database Setup II
Server Setup
Self Email Setup
Self Email Script
Is Your Quant Tech In Order?
Predicting S&P 500 Intraday Volatility with Machine Learning (0-DTE Strategy)
Building Our Training Data
Backtesting + Modeling
Taking It Live: Real-World Deployment
Vol Trading Files
The Volatility Surface: How Do You Trade This Thing?
Running a Proprietary Vol Surface: Part I
Running a Proprietary Vol Surface: Part II
Running a Proprietary Vol Surface: Part III
Volatility Surface Files
Selling 0-DTE SPX Volatility
The Beast of the VIX1D: Finding The Optimal Strikes
Regime Classification: Getting The Direction Right
Taking It Live
Volatility Selling Files
Momentum, Trend-Following, and Autocorrelation
Model + Trading Strategy Foundations
Model Building + Backtesting
Taking it Live – Full Automation
Short Term Prediction Files
Information on what the course aims to achieve, who it's for, and what you should expect.
The volatility trading bible was created for all those with an interest in the quantitative finance! Ideally, you will come to the course with at least a beginners' knowledge of Python and options theory (e.g., what is a call?).
The course starts off by taking you through setting up a solid tech-stack before moving onto the strategies, so on average, full completion of the course will take around 2-3 hours.
Upon completion of the course, you will walk away with industry-standard tools, real-world quantitative strategies and the ability to creatively free-roam around the provided code to test your own innovations and ideas!