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 ...

Futures trading is fast, leveraged, and unforgiving — making strategy testing essential before risking real capital. Backtesting lets traders simulate strategies on historical data, revealing ...

TradeStation said it has integrated Tradetron into its execution infrastructure, allowing traders to build, test, and ...

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 ...

Aether Holdings, Inc. (Nasdaq: ATHR) ("Aether" or the "Company"), an emerging financial technology holding company developing ...

Discover the top 10 platforms for 2026. We analyze MoneyFlare, Forex Fury, Capitalise.ai, plus other automated tools.

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 ...

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 ...

Rob Lane, global head of sales and marketing at Vela, says integrating the companies' solutions will give Strategy Studio users access to global data and provide faster time to market for buy-side ...

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 ...