Algorithmic trading can break up that trade into smaller ... opposite positions when the price relationship deviates. For example, go long on the undervalued stock and short on the overvalued ...

Buy-side firms ensure they are achieving “best execution” using algorithmic trading strategies by constantly reviewing their activity through transaction cost analysis (TCA), strategy comparison, and ...

Key sessions will delve into the principles of algorithmic trading strategies, such as statistical arbitrage, market timing strategies and a case study on high-frequency trading. Practical examples ...

Algorithmic trading (algo trading), where automated systems execute trades based on programmed strategies, has long been a tool reserved for institutional investors. However, with growing demand ...

The Securities and Exchange Board of India (Sebi) has unveiled a revised regulatory framework aimed at promoting safer participation of retail investors in algorithmic trading. The new guidelines ...

The landscape of trading on the National Stock Exchange (NSE) has undergone a dramatic transformation, with colocation and algorithmic trading reaching record highs, while mobile and direct market ...

Algo trading is already prevalent in India among both institutional as well as retail investors. However, existing regulations had several loopholes The Securities and Exchange Board of India ...

SEBI outlined that for algo trading, application programming interfaces (APIs) provided by brokers, wherein he/she acts as the principal and any algo provider (including fintech firms or vendors ...