Algorithmic Trading with Python: Machine Learning strategiesWelcome to the Most Comprehensive, Interactive and Practical Algorithmic and Quantitative Trading Course you’ll find anywhere. I��m a Full-Time Hobby Trader, Investor and Quant. I do this for a Living. My expertise, coupled with that of my Co-Creator, is what makes this course so unique. If you’re looking for an Edge in this market then you’re in the right place!
In Algorithmic Trading with Python: Machine Learning strategies, Harry Georgakopoulos delves into the concept of machine learning strategies and how you can use them to design and backtest algorithmic trading models for the stock market.You’ll learn various types of regression analysis, clustering methods, classification algorithms, time series forecasting, and more. Harry also covers a variety of supervised learning models for stocks prediction and demonstrates how to identify which stocks to short-list for further analysis.Discover machine learning applications with data preprocessingOptimize your portfolio by using single set MVO to beat an S&P500 benchmarkUse clustering algorithms to analyze investment universesBuild a trading strategy based on the Sharpe ratio and correlation coefficientImplement neural networks and ensemble learning models
In today’s fast-paced economy, having a presence in the market is crucial. Whether you are a professional or just starting out, algorithmic trading with Python will lessen the difficulty and help you find better solutions. This book will teach you algorithmic trading through algorithmic models and Mathematics. Learning to implement mathematical algorithms(Machine Learning) which will help in developing your own algorithmic trading strategies. You will learn to create, back-test and implement trading strategies for stock markets by evaluating the performance of each individual strategy.”
