num_pages: 126
description: Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas numpy and scikit-learn. After establishing an understanding of technical indicators and performance metrics readers will walk through the process of developing a trading simulator strategy optimizer and financial machine learning pipeline. This book maintains a high standard of reproducibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.
language: English
title: Algorithmic Trading with Python: Quantitative Methods and Strategy Development
publisher: None