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Mammoth Club All levels 13 sections 22 lectures

Cutting-Edge Quantitative Trading - Build Python Financial Simulations

Build the technical backbone of a modern trading desk by mastering quantitative finance and time series analysis. This course teaches you to simulate stock trading strategies using Z-scores, mean reversion, and the Cox-Ingersoll-Ross (CIR) model.

01
Skill level
All levels
02
Sections
13
03
Lectures
22
04
Instructor
John Bura
What's inside

This course includes.

13
Sections
22
Lectures
32
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

13 sections · 22 lectures
+ 01 Fundamentals of Quantitative Finance 1 lecture
Introduction to Quantitative Finance for Analysts Locked
+ 02 Basic Statistics and Probability 1 lecture
Foundations of Statistics and Probability Locked
+ 03 Understanding Time Series Data 1 lecture
Introduction to Time Series Data Locked
+ 04 Basic Time Series in Colab 1 lecture
Implementing Time Series in Colab Preview Free preview
+ 05 Quantitative Trading 1 lecture
Quantitative trading Locked
+ 06 Simulate a stock trading strategy with Z-score 3 lectures
01 Generate Single Stock Data with Python in Colab Locked
02 Calculate cumulative moving average of stock price Locked
03 Simulate Trading Strategy with ZScore Locked
+ 07 Mean Reversion on Stock Portfolio 3 lectures
01 Stock Portfolio Data Generation Locked
02 Visualize returns Locked
03 Mean Reversion on Stock Portfolio Locked
+ 08 Simulate and Predict Interest Rates 4 lectures
01 Build initial conditions for simulating interest rates Locked
02b Set Up Bond Prices Locked
03b Calculate bond prices with the Cox-Ingersoll-Ross (CIR) model Locked
04 Convert instantaneous interest rates to annualized rates Locked
+ 09 Project Preview 1 lecture
Simulating interest rates with mean-reversion Locked
+ 10 Build initial conditions for simulating interest rates 1 lecture
01 Build initial conditions for simulating interest rates Locked
+ 11 Understanding and Setting up bond prices 2 lectures
01a Understanding bond prices Locked
01b Set Up Bond Prices Locked
+ 12 Cox-Ingersoll-Ross (CIR) model 2 lectures
01a Understanding Cox-Ingersoll-Ross algorithm Locked
02b Calculate bond prices with the Cox-Ingersoll-Ross (CIR) model Locked
+ 13 Convert instantaneous interest rates to annualized rates 1 lecture
01 Convert instantaneous interest rates to annualized rates Locked
Description

About this course.

You will learn to predict interest rates and calculate bond prices using professional grade mathematical simulations in Google Colab.

► Fundamentals of Quantitative Finance and Basic Statistics

► Understanding and Processing Time Series Data in Colab

► Simulate Stock Trading Strategies with Z-Score and Mean Reversion

► Simulate and Predict Interest Rates and Annualized Rates

► Set up and Analyze Bond Prices using the CIR Model

✔️ Lifetime access

✔️ Source code included

This program is for individuals who want to combine their Python skills with advanced financial mathematics. You will gain the ability to build and backtest sophisticated trading algorithms that are grounded in rigorous statistical analysis.

Master the math of the markets now.

Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

Ready to start building?

Build the technical backbone of a modern trading desk by mastering quantitative finance and time series analysis. This course teaches you to simulate stock trading strategies using Z-scores, mean reversion, and the Cox-Ingersoll-Ross (CIR) model.

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