Machine Learning for Algorithmic Trading | Part 2 Preparing Data and Training

In Part 2, you will learn how to select the most important features to extract and clean your data. In this series, quantitative trader Trevor Trinkino will walk you through a step-by-step introductory process for implementing machine learning and how you can turn this into a trading algorithm using Python. Plus he will show you the process of tuning your parameters for better performance of your trading system. For additional resources on algorithmic trading, python, machine learning, API, and more please visit https://www.quantnews.com/resources/ Remember that forex and CFD trading can result in losses that could exceed your deposited funds and therefore may not be suitable for everyone, so please ensure that you fully understand the risks involved. The guest speaker(s) is neither an employee, agent nor representative of FXCM and is therefore acting independently. The opinions given are their own, constitute general market commentary, and do not constitute the opinion or advice of FXCM or any form of personal or investment advice. FXCM neither endorses nor guarantees offerings of third party speakers, nor is FXCM responsible for the content, veracity or opinions of third-party speakers, presenters or participants. Any opinions, news, research, analyses, prices, or other information is provided as general market commentary, and does not constitute investment advice. FXCM will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.