From Algorithmic to agentic: How AI could reshape the next generation of financial markets
By Hemant Sood, Founder and Managing Director, Findoc Group
Financial markets have run on algorithms for decades, but agentic AI is a different kind of machine participation. A conventional trading algorithm follows a recipe written by a human: when specified conditions occur, it executes an order. An AI agent receives an objective, breaks it into tasks, selects tools, interprets changing information and decides what to do next within its permissions. The shift is not from slower code to faster code. It is from instruction-following systems to mandate-following systems.
In practice this could redraw the investment chain. On an earnings day, a research agent could read filings, compare management commentary with earlier guidance and flag inconsistencies. An execution agent could adapt order slices as depth changes, while a risk agent throttles activity and a compliance agent preserves the evidence behind each step. At Findoc, we already use AI for first-cut research...
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