Financial Engineering and Artificial Intelligence in Python
Financial Engineering and Artificial Intelligence in Python
Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!
Created by Lazy Programmer Inc, Lazy Programmer Team | 14.5 hours on-demand video course
This Financial Engineering and Artificial Intelligence in Python course will teach you the core fundamentals of financial engineering, with a machine learning twist. We will learn about the greatest flub made in the past decade by marketers posing as “machine learning experts” who promise to teach unsuspecting students how to “predict stock prices with LSTMs”. You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense. It is a lesson in how not to apply AI in finance.
What you’ll learn
- Forecasting stock prices and stock returns
- Time series analysis
- Holt-Winters exponential smoothing model
- ARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Exploratory data analysis
- Alpha and Beta
- Distributions and correlations of stock returns
- Modern portfolio theory
- Mean-Variance Optimization
- Efficient frontier, Sharpe ratio, Tangency portfolio
- CAPM (Capital Asset Pricing Model)
- Q-Learning for Algorithmic Trading
Recommended Course by Lazy Programmers
Artificial Intelligence: Reinforcement Learning in Python Best seller
Math 0-1: Calculus for Data Science & Machine Learning Best seller
Math 0-1: Matrix Calculus in Data Science & Machine Learning
Math 0-1: Linear Algebra for Data Science & Machine Learning
Who this course is for:
- Anyone who loves or wants to learn about financial engineering
- Students and professionals who want to advance their career in finance or artificial intelligence and machine learning
