Using Machine Learning in Trading and Finance

Colleagues, the Using Machine Learning in Trading and Finance program provides the foundation for developing advanced trading strategies using machine learning techniques. You will review the key components that are common to every trading strategy, no matter how complex and be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it. Develop high-demand skills in Algorithmic Trading, Python Programming and Machine Learning. You should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).

Enroll today (individuals & teams welcome): https://tinyurl.com/zmrhmbs 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy