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Generative AI for Trading and Asset Management: A No-code Introduction
Curriculum
3 Sections
20 Lessons
10 Weeks
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Chapter 1: No-code Generative AI for Basic Quantitative Finance
5
1.1
1.1 Retrieving Historical Market Data
10 mins
1.2
1.2 Computing Sharpe Ratio
10 mins
1.3
1.3 Data Formatting and Analysis
10 mins
1.4
1.4 Translating Matlab Codes to Python Codes
10 mins
1.5
1.5 Conclusion
10 mins
Chapter 2: No-code Generative AI for Trading Strategies Development
9
2.1
2.1 Creating Codes from a Strategy Specification
10 mins
2.2
2.2 Summarizing a Trading Strategy Paper and Creating Backtest Codes from It
10 mins
2.3
2.3 Searching for a Portfolio Optimization Algorithm Based on Machine Learning
10 mins
2.4
2.4 Explore Options Term Structure Arbitrage Strategies
10 mins
2.5
2.5 Conclusion
10 mins
2.6
2.6 Exercises
10 mins
2.7
1 Computing Next-day’s Return
10 mins
2.8
2 Uploading the Fama-French Factors
10 mins
2.9
3 Combining Fama-French Factors with Next-day’s Returns
10 mins
Chapter 3: Whirlwind Tour of ML in Asset Management
6
3.1
3.1 Unsupervised Learning
10 mins
3.2
3.2 Supervised Learning
10 mins
3.3
3.3 Deep Reinforcement Learning
10 mins
3.4
3.4 Data Engineering
10 mins
3.5
3.5 Feature Engineering
10 mins
3.6
3.6 Conclusion
10 mins
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