Machine Learning in Trading and Finance {New York Institute of Finance}

Colleagues, the Machine Learning in Trading and Finance program from the New York Institute of Finance and Google Cloud will train you in quantitative trading, pairs trading, and momentum trading. 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. You should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Training modules include: 1) Introduction to Quantitative Trading and TensorFlow - key components that are common to every trading strategy, no matter how complex, 2) Training neural networks with Tensorflow 2 and Keras, 3) Build a Momentum-based Trading System - traders buy or sell assets according to the strength of recent price trends. Price momentum is similar to momentum in physics, where mass multiplied by velocity determines the persistence with which an object will follow its current path (like a heavy train on a track). Momentum traders bet that an asset price that is moving strongly in a given direction will continue to move in that direction until the trend loses strength or reverses, and 4) Build a Pair Trading Strategy Prediction Model - discuss what pairs trading is, and how you can make money doing it. 

Sign-up today (teams & execs welcome): https://tinyurl.com/yfe4yncz 

Much career success, Lawrence E. Wilson - Financial Certification Academy