
The Algorithmic Trading Guide - How to Leverage Technology To Make Money In Finance Markets
Push your investing into overdrive. A complete beginner's guide. Includes Multiple Python Code Examples
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
$0.00 for first 30 days
LIMITED TIME OFFER
$0.99/mo for the first 3 months
Offer ends April 30, 2025 at 11:59PM PT.

Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 3 months. Cancel anytime.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
Buy for $3.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
-
Narrated by:
-
Virtual Voice
-
By:
-
Lyron Foster

This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
About this listen
The book begins with an overview of algorithmic trading, its importance in financial markets, and the terminology and concepts related to it. It then moves on to cover popular trading strategies used in algorithmic trading and the installation and configuration of a trading platform.
The book also delves into data analysis and visualization techniques, using Python and popular data analysis libraries, creating trading signals and indicators, and backtesting trading strategies using historical data. Readers will learn about building trading models using machine learning and reinforcement learning techniques, as well as backtesting and evaluating these models.
Additionally, the book covers implementing trading strategies, developing trading algorithms using Python, and integrating these algorithms with a trading platform. It also explores market microstructure, high-frequency trading, and trading in different market conditions, as well as best practices for algorithmic trading and market microstructure.
Risk management is a crucial aspect of algorithmic trading, and the book includes techniques for measuring and managing risk in trading strategies, using portfolio optimization techniques for risk management, and best practices for risk management in algorithmic trading.
Finally, the book covers the regulatory landscape of algorithmic trading, compliance requirements, and best practices for complying with regulatory requirements in algorithmic trading. It also discusses future trends and challenges in algorithmic trading and regulation.
The Algorithmic Trading Guide - How to Leverage Technology To Make Money In Finance Markets is an essential resource for traders and financial professionals looking to expand their knowledge and skills in the field of algorithmic trading. It is also suitable for novice traders just starting to explore algorithmic trading.
adbl_web_global_use_to_activate_webcro768_stickypopup