Artificial Intelligence for Trading

Artificial Intelligence for Trading is a Short Course program taught at Udacity, . The program is offered in online modes with part-time options. To successfully obtain Artificial Intelligence for Trading from Udacity you are required to complete credit hours. After completion of Artificial Intelligence for Trading you will be able to further continue for advance studies or start career as Artificial Intelligence Specialist.

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

Prerequisite knowledge

1. Basic Quantitative Trading

   Learn about market mechanics and how to generate signals with stock data. Work on developing a momentum-trading strategy in your first project.

   • Trading with momentum

2. Advanced Quantitative Trading

   Learn the quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading.

   • Breakout Strategy

3. Stocks, Indices, and ETFs

   Learn about portfolio optimization, and financial securities formed by stocks, including market indices, vanilla ETFs, and Smart Beta ETFs.

   • Smart Beta and Portfolio Optimization

4. Factor Investing and Alpha Research

   Learn about alpha and risk factors, and construct a portfolio with advanced optimization techniques.

   • Alpha Research and Factor Modeling

5. Sentiment Analysis with Natural Language Processing

   Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.

   • Sentiment Analysis using NLP

6. Advanced Natural Language Processing with Deep Learning

   Learn to apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals.

   • Deep Neural Network with News Data

7. Combining Multiple Signals

   Learn advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data.

   • Combine Signals for Enhanced Alpha

8. Simulating Trades with Historical Data

   Learn to refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells.

   • Backtesting

You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://imp.i115008.net/QOk4V6

You can join one of the following careers:

• Artificial Intelligence Specialist