The Algorithmic Designer: Designing Trading Strategies with Python: A Comprehensive Guide for 2024
Reactive Publishing Dive into the dynamic world of financial markets with "Algorithmic Designer: Designing Trading
190 59 726KB
English Pages 416 Year 2024
Table of contents :
Title Page
Contents
Chapter 1: Introduction to Algorithmic Trading
1.1 Definition of Algorithmic Trading
1.2 Key Benefits of Algorithmic Trading
1.3 Fundamentals of Algorithm Design
1.4 Regulatory and Ethical Considerations
Chapter 2: Strategy Identification and Hypothesis
2.1 Identifying Market Opportunities
2.2 Strategy Hypothesis Formulation
2.3 Data Requirements and Sources
2.4 Tools for Strategy Development
Chapter 3: Building and Backtesting Strategies
3.1 Strategy Coding in Python
3.2 Backtesting Frameworks
3.3 Performance Analysis
3.4 Optimization Techniques
Chapter 4: Advanced Trading Strategies
4.1 Machine Learning for Predictive Modeling
4.2 High-Frequency Trading Algorithms
4.3 Sentiment Analysis Strategies
4.4 Multi-Asset and Cross-Asset Trading
Chapter 5: Real-Time Back testing and Paper Trading
5.1 Simulating Live Market Conditions
5.2 Refinement and Iteration
5.3 Robustness and Stability
5.4 Compliance and Reporting in Algorithmic Trading
Epilogue
Additional Resources
