Machine Learning for Trading: Introduction

In this course, we will try to study and create a learning model that allows the algorithm to learn the input and output combination. Thereafter, make its own decisions on new data. This is what machine allows to work and perform tasks. The objective is to get help and advantage of mathematical or statistical computations in the trading system decision-making process. As a human, a trading strategy can be created by using few indicators to predict the market trend. However, the machine will perform tasks to go through hundreds of indicators instead of few ones to learn and decide which indicators perform best in predicting the correct market trend.

After completion of this program, participants will be better able to:

• Basic understanding of machine learning and its relevance in trading
• How machine learning equips itself with complicated tasks
• Terminologies and types of machine learning and their relevances in the financial market
• Predicting trend using classification technique
• Backtest a trading strategy