About the Event

The workshop on Algorithmic Trading will  be conducted for the students of B.Com (Financial Analytics). This session will aim to equip students with foundational knowledge of algorithmic trading, an increasingly vital area in modern finance that combines data analytics, programming, and market dynamics. Participants will be introduced to the core concepts of algo trading, including automated trade execution, backtesting strategies, quantitative models, and market microstructure. The session will cover how trading algorithms operate at high speed and accuracy, significantly influencing liquidity and efficiency in today’s financial markets. Students will explore how technical indicators, statistical arbitrage, and quant signals can be used to develop rule-based systems for trading. Live demonstrations and case-based discussions will be incorporated to enhance real-world understanding. The session will also highlight the regulatory landscape of algorithmic trading and the importance of risk controls and compliance. A Q&A segment will allow students to interact with industry experts and gain insights into potential career opportunities in quantitative and algorithmic trading.