null Book

Chapter 1: Introduction to AI in Hedge Funds

Chapter 2: The Evolution of Hedge Funds: From Quant to AI

Chapter 3: Understanding Machine Learning in Financial Markets

Chapter 4: Deep Learning and Its Applications in Trading

Chapter 5: Natural Language Processing (NLP) for Market Sentiment Analysis

Chapter 6: Big Data and Alternative Data in Hedge Fund Strategies

Chapter 7: Algorithmic Trading: From Rules-Based to AI-Driven

Chapter 8: Reinforcement Learning for Market Prediction

Chapter 9: AI-Enhanced Portfolio Optimization

Chapter 10: Risk Management Using AI and Predictive Analytics

Chapter 11: AI-Powered Factor Investing and Smart Beta Strategies

Chapter 12: High-Frequency Trading (HFT) and AI

Chapter 13: Sentiment Analysis and Market Psychology with AI

Chapter 14: Explainability and Transparency in AI Trading Models

Chapter 15: Regulatory and Ethical Considerations of AI in Finance

Chapter 16: The Role of AI in Asset Allocation and Diversification

Chapter 17: Backtesting AI Models and Simulating Market Conditions

Chapter 18: Fraud Detection and Anomaly Detection in Hedge Funds

Chapter 19: Automated Trade Execution and AI-Powered Order Routing

Chapter 20: The Future of AI in Hedge Funds: Trends and Challenges

Chapter 21: Quantum Computing and Its Potential Impact on AI Trading

Chapter 22: Hedge Fund AI vs. Retail Investors: Leveling the Playing Field?

Chapter 23: Case Studies: Successful AI-Powered Hedge Funds

Chapter 24: Building and Deploying AI Models for Hedge Funds

Chapter 25: The Next Frontier: AI, Blockchain, and Decentralized Finance (DeFi) in Hedge Funds

Unlimited Learning, One Price
$299 / INR 23,999