ALGORITHMIC TRADING: A Comprehensive Beginner’s Guide to Learn and Win with Algorithmic Trading

Written by Michael Bateman

Narrated by Matt Scholes and Eleanor Webb

Algorithmic trading is a process for executing orders utilizing automated and pre-programmed trading instructions to account for variables such as price, timing and volume. An algorithm is a set of directions for solving a problem. Computer algorithms send small portions of the full order to the market over time.

Algorithmic trading makes use of complex formulas, combined with mathematical models and human oversight, to make decisions to buy or sell financial securities on an exchange. 

By the end of this audiobook, you'll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.

What you will learn

• Understand the components of modern algorithmic trading systems and strategies
• Apply machine learning in algorithmic trading signals and strategies using Python
• Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more
• Quantify and build a risk management system for Python trading strategies
• Build a backtester to run simulated trading strategies for improving the performance of your trading bot
• Deploy and incorporate trading strategies in the live market to maintain and improve profitability

• Language: English
• Publisher: Michael Bateman
• Release date: Jan 2, 2021
• ISBN: 9781664945791