Machine Learning, Artificial Intelligence & Data Science 4 Finance
- Data mining to identify patterns, extract features and generate insights
- Supervised learning to generate risk factors or alphas and create trade ideas
- Aggregation of individual signals into a strategy
- Allocation of assets according to risk profiles learned by an algorithm
- The testing and evaluation of strategies, including through the use of synthetic data
- The interactive, automated refinement of a strategy using reinforcement learning Ref
- Start here
- Books
- Interview preparation
- Scintific articles
- Research groups in US
- Websites/Blogs
- Tutorial series in Python
- Python libraries
- Python projects
- Most requested skills/tools stack
- Study materials
- Quotes
- Podcasts
- Online tools
- Online courses
- University degree focused on quantitative finance - UK
- Data source for finance
- Talks
- Skills
- Competitions
- Open source project from mantained by trading funds