From Research Paper to Python Code | Quant Trading Strategy Analysis with ChatGPT

🧠 Quantitative finance has seen rapid innovation in recent years, but the biggest game-changer?
Large Language Models (LLMs) like ChatGPT.

In just the last 3 years:
✅ Complex tasks that took days now take hours or even minutes
✅ Research and development in quant finance has accelerated
✅ Coding, strategy testing, documentation, and even report generation have become faster and smarter

These AI tools aren’t just hype; they’re reshaping how quants work, think, and build.

This video is part of a broader tutorial series.
Link to the entire tutorial: https://www.youtube.com/watch?v=_KajD3SbRRw

About the Speaker:
Mohak Pachisia is a Senior Quantitative Researcher at QuantInsti, specializing in trading strategy development, financial modeling, and quantitative research. Before joining QuantInsti, he worked in the Risk and Quant Solutions division at Evalueserve, where he also led the learning and development function for the Quant team.
Mohak is an alumnus of EPAT and has cleared all levels of the Chartered Market Technician (CMT) program and two levels of the CFA program. He is currently pursuing the Certificate in Quantitative Finance (CQF). He has also consulted for organisations such as Upstox, Motilal Oswal, Spider Software, and TradeSmart. His expertise lies in simplifying complex quant problems and turning them into structured, executable strategies.

📌 Want to explore how AI and LLMs are being used in trading?
Comment “AI in Quant” to get our free ebook: How AI Is Changing Algorithmic Trading

Learn more at QuantInsti:
EPAT – Learn quant trading, Python, ML, and AI tools from industry pros:
🔗 https://www.quantinsti.com/epat

Quantra – Hands-on, self-paced courses on AI, trading strategies & more:
🔗 https://quantra.quantinsti.com

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Видео From Research Paper to Python Code | Quant Trading Strategy Analysis with ChatGPT канала QuantInsti Quantitative Learning