Forex Trading Strategy

Learn how to settle your hands on Python guide to develop investing strategies using regression based Machine Learning Methods. This is one of the most important courses from our apps which is basically teaching you to Trade on Top Forex Trading Platforms (Etoro, FXCM, MetaTrader, AVATrader, iTrader, IQ Option, Plus 500 and much much more). Do you want to accomplish a great destination in the world of International Forex Market? Finally, here is a comprehensive Hands-On Machine Learning Course with a specific focus on Regression Based Models for the Investment Community and Passionate Investors.This course is the first of the Machine Learning for Finance and Algorithmic Trading & Investing Series.

It includes:

-Deeper appreciation of challenges of modeling Financial Time Series
-Hyperparameters and how to validate Machine Learning
-Classification-Based Machine Learning for Algorithmic Trading
-Ensemble Machine Learning for Algorithmic Trading
-Secrets and tricks about forex trading school and courses
-Unsupervised Machine Learning: Hidden Markov for Algorithmic Trading
-Clustering and PCA for Investing
-Hyperparameters and how to validate machine learning
-Understanding by utilizing Python scikit-learn library
-Regression-Based Machine Learning for Algorithmic Trading
-Classification- Based Machine Learning for Algorithmic Trading

In this course, we are first going to provide some background information to machine learning. Most advanced topics cross-validation, model validation, penalized regression- Lasso, Ridge, ElasticNet, Kalman Filter, back test, professional Quant work flow, cross-sectional and time-series momentum are also explained in details.

This course make you understand the limitations of various Machine Learning Techniques. It also covers in depth the Rationale of Investing Strategy Development.