Decoding the Quant Market: A Guide to Machine Learning in Trading

In the ever-changing world of finance and trading, the search for a competitive edge has been a constant driver of innov

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English Pages 245 Year 2023

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Table of contents :
Preface
1 Introduction
2 Financial Markets and Instruments
3 Basic Concepts in Quantitative Trading
4 Machine Learning Basics
5 Data Collection and Preprocessing
6 Feature Engineering for Trading
7 Building Machine Learning Models for Trading
8 Algorithmic Trading and Execution
9 Risk Management and Portfolio Optimization
10 Practical Considerations and Challenges
11 The Future of Quantitative Trading and Machine Learning

Decoding the Quant Market: A Guide to Machine Learning in Trading

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