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Financial Engineering and Artificial Intelligence in Python

Via Udemy

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Overview

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE! What you'll learn: Forecasting stock prices and stock returnsTime series analysisHolt-Winters exponential smoothing modelARIMAEfficient Market HypothesisRandom Walk HypothesisExploratory data analysisAlpha and BetaDistributions and correlations of stock returnsModern portfolio theoryMean-Variance OptimizationEfficient frontier, Sharpe ratio, Tangency portfolioCAPM (Capital Asset Pricing Model)Q-Learning for Algorithmic Trading Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?Today, you can...

Syllabus

  • Welcome
  • Getting Set Up
  • Financial Basics
  • Time Series Analysis
  • Portfolio Optimization and CAPM
  • VIP: Algorithmic Trading
  • VIP: The Basics of Reinforcement Learning
  • VIP: Reinforcement Learning for Algorithmic Trading
  • VIP: Statistical Factor Models and Unsupervised Machine Learning
  • VIP: Regime Detection and Sequence Modeling with Hidden Markov Models


Financial Engineering and Artificial Intelligence in Python
Go to Class

via Udemy

21 hours 40 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Lazy Programmer Team

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