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Summary ​[2026 HKU] AI in Finance & Algorithmic Trading - DISTINCTION GUIDE

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This is the definitive 2026 study guide for FINA3350 at The University of Hong Kong. It covers advanced neural networks in trading, high-frequency algorithms (HFT), and the latest risk management protocols for global markets. Designed specifically for students aiming for a Distinction and a career in Tier-1 investment banking. Fully updated with 2026 case studies and predictive market analytics.

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[​2026 TOP TIER] ALGORITHMIC TRADING & AI IN GLOBAL MARKETS
Institution: The University of Hong Kong (HKU) – Faculty of Business & Economics
Course: Advanced Quantitative Finance (FINA3350)
Grade: DISTINCTION LEVEL NOTES
​1. THE 2026 TRADING LANDSCAPE
​Quantum-Ready Algorithms: How HKEX is transitioning to quantum-resistant encryption for
HFT (High-Frequency Trading).
​AI Agent Swarms: Moving beyond simple ML to autonomous AI agents that execute
multi-leg strategies across NYC, London, and HK markets simultaneously.
​2. PREDICTIVE ANALYTICS & REINFORCEMENT LEARNING
​Deep Q-Learning: Using reinforcement learning for optimal order execution to minimize
market impact (Slippage reduction by 40%).
​Alternative Data: Integrating real-time satellite imagery and supply chain AI to predict
quarterly earnings before official announcements.
​3. RISK MANAGEMENT & BLACK SWAN PROTOCOLS
​Stress Testing 2.0: AI-simulated "flash crash" scenarios based on the 2025 volatility spikes.
​Neutralizing Bias: Methods for removing "hallucination" in financial LLMs used for sentiment
analysis on Bloomberg terminals.
​4. 2026 EXAM FOCUS BIBLE
​Key Concept: The Kelly Criterion vs. AI Risk Management.
​Key Concept: Backtesting Overfitting in Neural Networks.
​Case Study: The HKMA 2026 Digital Yuan integration impact on liquidity.

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May 8, 2026
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Written in
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