<h1>Retail algo trading expands as AI platforms enable broader participation under proposed regulatory frameworks and risk-management demands.</h1> AI-driven trading has progressed to deep learning models delivering automated signals, real-time analysis, predictive modelling and risk-management strategies. Platforms like NeoTrader are extending these capabilities to retail investors, pairing professional-grade analytics with educational resources. This expansion is propelled by market complexity, demand for rapid data-driven decisions, commission-free trading and SEBI's proposed framework to enable retail participation in algorithmic trading via brokers, thereby creating regulatory and operational implications for broader retail access to algo trading.