Quantitative Economics and Trading
Experience the intersection of economics and algorithms, where your solutions aid financial predictions
Uncover the mathematics of the market
Discover data-driven economics, where statistical insights unlock the future of financial markets. Engage directly in developing machine learning models to unravel how the past informs market trends. With us, you will master cutting-edge neural network models to study the market. Ready to predict the market's next big move? Join us
Design statistical models to make financial predictions
Process Stock
Data
Implement Statistical
Model
Make Financial
Predictions
About
- 15-20 hours of live teaching*
- 1-1 or small groups over Zoom
- 2 custom real-world projects
- Flexible scheduling
- Completion certification
*Course length is subject to change based
on prior experience
What you will learn:
1
Implement machine learning models for financial prediction using cutting-edge data analysis libraries including: Numpy, PyTorch, and Pandas.
2
Create and design state-of-the-art neural network models that are being used by industry leading quantitative researchers.
3
Engage in a hands-on project with real stock data, and use it to generate trading signals for potentially profitable trades.
FAQs
You will develop a model on your computer to analyse historical stock data. By applying advanced statistical methods, you will unravel patterns and use these insights to accurately predict future stock movements.
Whether you are a novice or an expert we’ve got you covered, we assess your skillset before the course and begin at an appropriate level.
We offer flexible scheduling with weekly, bi-weekly, or accelerated classes featuring 90-minute sessions.
*Disclaimer: Models created in this course are for educational use only and carry no guarantee of market profitability or performance.