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In recent developments, the Securities and Exchange Board of India (SEBI) is reportedly taking significant steps to tighten the regulatory framework around algorithmic trading and the use of Application Programming Interfaces (APIs) in the stock market. These measures aim to enhance transparency, security, and accountability in algo trading practices, which have seen a surge in popularity among retail and institutional investors alike. 

Intraday trading, also known as day trading, involves buying and selling financial instruments within the same trading day. It requires swift decision-making and a deep understanding of market dynamics. With the advent of technology, algorithmic trading has become increasingly popular among intraday traders. These automated systems execute trades based on pre-defined criteria, allowing traders to capitalise on opportunities with speed and precision. In this blog, we'll explore how to implement effective intraday trading strategies using algorithms.

In the fast-paced world of algorithmic trading, where automated systems execute pre-defined strategies in financial markets, success hinges on more than just sophisticated algorithms. To navigate this landscape effectively, traders must be aware of common pitfalls that can undermine their efforts and financial goals. In this article, we will find out how to avoid these stumbling blocks and enhance the chances of success in automated algo trading.