Features
Financial AI/ML model development platform
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Customizable single user or multi-user platform.
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Access to ready to use Financial algorithms, code and datasets within platform.
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Flexibility to choose preferred cloud service from AWS, google cloud, MS Azure and many more.
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Curated use cases
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Ready to use projects across different financial AI/ML applications.
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Plug and play master templates for several use cases.
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Directly run projects hassle-free on cloud.
Go to Projects
Financial Datasets
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Access to data for 60+ exchanges across 120,000+ Symbols/Instruments.
Ready to use python code to access and use the financial data freely
Data of Stocks, Bonds, FX, Crypto, Indexes, ETFs, sentiments and many more
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Documentation and other resources
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Access to to high quality resources including concepts, algorithms and code.
Coverage across diverse and advance topics in Financial AI/ML
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Collaborate, contribute and display your work.
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Collaborate on our slack channel and communities.
Display your projects and case studies for personal branding
Contribute to the FinAILab resources on open source platforms and get recognised
Join Slack Channel
Testimonials
Don’t Just Take Our Words For It.
The FinAILab provides a great deal of context and practical tools for solving all kinds of problems. It is code-focused so you'll have the option to run working code on real problems.
Aman Kesarwani
Quantitative Analyst
The best platform for ML and AI in finance. Highly recommended for folks curious about exploring current and future applications of Machine Learning in Finance from a practical perspective.
Sara Wilsson
Founder
Whether you are a quantitative analyst in a hedge fund or investment banks looking to start building machine learning models in Python, or a machine learning student looking to work on a ML related project, look no further!.
Jena Karlis
Data Scientist
We utilized FinAILab for building a Machine learning based ctrading strategy collaborating with a team of 8 and it worked like a charm.
Matt Brandon
Quant Strategist
Really seamless in the way you can easily load any GitHub code repo containing the python code for any financial case study.
John Larson
Entrepreneur
About us
We are python and Open Source enthusiasts for Financial ML/AI with a mission to democratization AI/ML in Finance.
Our team member credentials include:
- Co-authors of the book Machine Learning and Data Science Blueprints in Finance
- Decades of Experience in Investment banks and Hedge Funds.
- Extensive Expertise in quantitative finance, trading, machine learning, and software engineering
