Published Paper Details:

Algorithmic Trading has modified and considerably increased international financial markets, allowing high-speed, high-frequency transactions through refined algorithms. It improves market strength and liquidity; but it collectively presents major moral and regulative challenges, especially regarding market fairness, transparency, and commercial protection. This paper examines these problems with selected stress on the Indian context, analyzing recent developments by the Securities and Exchange Board of India (SEBI) and diverse international regulative authorities aimed toward minimizing market manipulation and making certain fairness. The case studies highlight moral violations and regulatory reactions, as well as practices like spoofing and flash crashes. In response, recommended strategies are put forward for algorithmic design to guarantee ethical alignment, fairness evaluations, transparency via Explainable AI (XAI), and dedication to dependable regulative frameworks. The importance of progressive regulation and collaboration between stakeholders is emphasized to foster secure, equitable, and impartial trading surroundings, which is crucial for protective trust within the financial markets in the long term.