Authors

Mark Brezina, Aksel Fristrup

What do you wish to know something about?

subject

• AI and Machine learning
• Coding and IT
• Insurance and Risk
• Mathematics, pure maths, geometry
• Quantitative finance, Algorithmic Trading, Alpha
• Statistics, Probability, Stochastic processes
• Others

resource(Video, website, book, code)

• Books, Notes, Slides
• Code, repositories, packages
• Videos, channels, playlists
• Websites, forums, blogs

Special Topics

• Rough Paths and Signature Methods in ML
• Sustainable Finance and ESG with AI

• Carbon Credit Insurance

A massive thanks to the following.

Jonas Hal, Anton Vorobets, David Skovmand, Peter Cotton with his Microprediction, Henrik Hørsløv, Grananqvist, Jackal08, Snehilms, Je-suis-TM,

These need working on for quantitative finance

1. Blackrock - dig through their repos and find useful algorithms, blogs and documents
2. Jump Trading - dig through their repos, look through the CTO's repos
3. Hudson River Trading - look through followers, presumably lots of Hudson employees
4. Point72
5. AQR Capital Management
6. D. E. Shaw Research
7. D. E. Shaw Group
8. Bridgewater associates - not much here, try looking through followers
9. Jane Street - mostly OCaml, but maybe some useful algorithms
10. Goldman Sachs - these guys don't have anything interesting, dig through their followers.
11. https://www.acquired.fm/episodes/renaissance-technologies

https://github.com/georgezouq/awesome-ai-in-finance

https://www.quora.com/What-is-the-method-used-by-quantitative-hedge-funds-such-as-Renaissance-Technologies-to-generate-profits https://www.linkedin.com/feed/update/urn:li:activity:7181549889821016066/?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7181549889821016066%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29

https://quantecon.org/

https://github.com/ryanrussell/Lean/tree/master

https://github.com/ryanrussell

https://github.com/Velocities

https://github.com/f0ster/QuantResearch

https://github.com/letianzj/QuantResearch

https://github.com/wilsonfreitas/awesome-quant

https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading

https://github.com/firmai/financial-machine-learning

https://github.com/huseinzol05/Stock-Prediction-Models

https://github.com/pradeephyd/shashankvemuri-Finance

https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock https://github.com/robcarver17/systematictradingexamples https://github.com/robcarver17/pysystemtrade_examples

https://github.com/LongOnly/Quantitative-Notebooks https://github.com/MarcosCarreira/DermanPapers

https://github.com/rsvp/fecon235 https://github.com/rsvp/Kalman-and-Bayesian-Filters-in-Python https://github.com/dedwards25/Python_Option_Pricing

https://github.com/antontarasenko/awesome-economics

https://github.com/Finance-Hub/FinanceHub

https://www.deloitte.com/lu/en/services/risk-advisory/services/deloitte-quantitative-finance-master-classes.html