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kyaiooiayk/ML-AI-DS-4-Finance
💱Machine Learning, Artificial Intelligence, Data Science for Finance💱
ML-AI-DS-4-Finance
Machine Learning, Artificial Intelligence & Data Science 4 Finance
How is ML used in 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
Available resources
- 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
Notes
On this page
Languages
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Contributors
Created August 23, 2022
Updated February 11, 2024