Use Python & AI for Trading | Recap and Recording
On April 9, QuantInsti hosted a highly anticipated live workshop focused on moving from discretionary ideas to systematic, rule-based decision-making. If you missed the live session or just want to re-watch the deep dive into how professionals build institutional-level trading systems you can watch the full recording below.
DOWNLOAD CODE FILES
You can download the presentation deck and code files here:
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WHAT'S COVERED?
Part 1: Python for Trading Using AI
- Using AI & prompt engineering to quickly build and refine trading strategies
- Why Python is the go-to language for quantitative and algorithmic trading
- Understanding the full pipeline: idea → strategy design → backtesting → optimization → live execution
Part 2: Risk Management for Options Trading
- How professionals structure and manage options strategies
- Key mistakes retail traders make, and how to avoid them
- Why disciplined risk management, not strategy, drives long-term success
INDUSTRY EXPERTS
Dr. Gaurav Raizada
Co-Founder, iRage & EPAT Faculty
Dr. Raizada shared his deep expertise in market microstructure and building robust, high-frequency trading systems.
Vivek Krishnamoorthy
Head of Content & Research, QuantInsti
Vivek broke down the essentials of Python for data analysis, time-series analysis, and backtesting.
Dr. Kelvin Foo
Founder & Managing Partner, Elemen79
Dr. Foo brought in his extensive background in quant methods, risk management, and AI applications in financial markets.
NEXT STEPS
We’d love your feedback! Tell us what you think by taking our quick survey. Your insights help us improve future sessions.
Share FeedbackThis workshop provided a practical introduction to the core concepts taught in QuantInsti’s flagship Executive Programme In Algorithmic Trading (EPAT).
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For a comprehensive pathway covering machine learning, deep learning, and strategy development in trading, the Executive Programme in Algorithmic Trading (EPAT) provides a structured learning experience with practical implementation focus.
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