The Algorithmic Trading Guide - How to Leverage Technology To Make Money In Finance Markets Audiobook By Lyron Foster cover art

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

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The Algorithmic Trading Guide - How to Leverage Technology To Make Money In Finance Markets

By: Lyron Foster
Narrated by: Virtual Voice
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About this listen

The Algorithmic Trading Guide - How to Leverage Technology To Make Money In Finance Markets is a comprehensive guidebook for anyone interested in algorithmic trading, covering everything from basic concepts to advanced strategies and techniques. This book provides practical examples and case studies, demonstrating how to apply the concepts and techniques discussed in real-world trading scenarios.

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.
Analysis & Strategy Risk Management Data Science Machine Learning
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