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 ...

TakeProfit has introduced a browser-based strategy backtesting module within its cloud trading platform, adding new ...

Futures trading used to be reserved for institutions and professional traders; after all, it's known for being fast-paced, complicated and hard to access. But times are changing, and that's no longer ...

This article is the third in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies ...

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 ...

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 ...

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 ...