One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to ...

AppLabs – As trading has become electronic, trading applications need to be reliable and effective; emphasizing more on the speed of delivery with peaks and troughs in demand. And the answer to these ...

Trading bots have changed the financial markets by automating trading processes and enabling traders to execute strategies efficiently. These automated systems utilize algorithms and programming to ...

IIT Madras graduate Raghav Talwar is tackling a major pain point in quantitative trading: the lengthy process of testing new datasets and strategies. With most small and mid-sized trading firms ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

Algorithmic trading strategies, pivotal in today's financial markets, must be built on solid statistical methods and a sound understanding of market dynamics. These strategies automate trading by ...

AI trading is the use of artificial intelligence (AI) in the trading process to analyze market data, get investment ideas, and build portfolios. The use of AI in trading has revolutionized the ...

This is the third in a series of blog posts on MiFID II (Markets in Financial Instruments Directive II). If you missed the earlier posts, see MiFID II: How Did We Get Here and What Does it Mean? and ...

The MarketWatch News Department was not involved in the creation of this content. Relying on real trading data and community feedback, ASST promotes the quantitative trading system towards ...