Perspectives on investing, trading and the technology shaping finance. Explore ideas and conversations from the Finbridge community.
Praveen Gupta explores agentic AI in algorithmic trading: portfolio monitoring, broker risk management and goal-based trading automation with human oversight and strict risk controls.
Praveen Gupta explores agentic AI in algorithmic trading: portfolio monitoring, broker risk management and goal-based trading automation with human oversight and strict risk controls.
Mayur Dedhia examines what AI and algorithmic trading can offer Indian retail traders—and why discipline, accountability and human judgment still matter.
Milan Parikh explores how domestic investors, evolving ownership patterns and capital flows are reshaping India’s capital markets and supporting business growth.
The investment world is undergoing a structural transformation. The advantage once came primarily from having access to information; today, the real advantage lies in how quickly, deeply and systematically that information can be processed.
India’s rapidly expanding capital markets are creating new demand for AI-based data centres and specialised stock trading infrastructure. An AI-based financial data centre can bring together high-performance computing, GPU computing infrastructure, real-time market data, low-latency connectivity and advanced AI models in a single ecosystem.
Most people think of artificial intelligence (AI) as a very smart encyclopaedia. Regular AI provides information. Agentic AI takes action, solves problems and completes tasks.
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