- History of Market and trading: https://youtu.be/DLg5tyxmXqQ?si=kqaQc9xvFzJwk_r4
- Varsity by Zerodha
- Goldman Sach Hackathon - 2024
- Why and How doing nothing is better
- The Sharpe Ratio Explained (by a quant trader)
- Coding Jesus Videos - Youtube
- TradeMath - leetcode for Quant
Conf videos on youtube
HRT
IMC
IMC Lauchpad Program: https://www.imc.com/in/careers/students-graduates/programs/launchpad
Meetup:
- The evolving search for modern API’s in Boost
- Conan C++ package manager
- A story of one Exception
- The Curious symbiosis between C++ and the Linker
- Going NATS
Books
Research Papers/Articles:
- Apr 2019: ABIDES: TOWARDS HIGH-FIDELITY MARKET SIMULATION FOR AI RESEARCH
- Sep 2023: C++ design patterns for low-latency applications including high-frequency trading
- Quant firms types and other relevant details
- HRT Summer Interns projects: https://www.hudsonrivertrading.com/hrtbeat/intern-spotlight-software-engineering-summer-projects/
- https://www.hudsonrivertrading.com/hrtbeat/intern-spotlight-hrt-ai-labs-project/
- The empirical work presented in the blogpost is very interesting (congrats to all involved). I want to add to the discussion by mentioning that diffusion models will always under-characterize tail probabilities when your target (e.g. equity returns) is heavy-tailed. This is a mathematical result proven in our recent paper (Tam and Dunson https://arxiv.org/abs/2501.07763)
- https://www.hudsonrivertrading.com/hrtbeat/intern-spotlight-hrt-ai-labs-project/
Basics GK
Data are of two types Quantitative and Qualitative
- Quantitative ⇒ you can measure ⇒ Finance is all about numbers ⇒ Quant Finance ⇒ Data-driven, analytical, model-based Important considering factor for Venture capitals, Investors etc.
- Qualitative ⇒ subjective factors like management quality, brand value, regulatory risks, and macroeconomic trends Important considering factor for Private equity, Risk management, HFT, asset pricing etc.