Backtesting in crypto AI trading is more than a preparatory step — it’s a foundation for intelligent, data-backed ...

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 ...

The new integrated toolkit enables traders to historically validate strategies within specific market regimes, a capability ...

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 ...

Artificial intelligence has revolutionized almost every industry, and some firms are aiming to make it the decisive factor in your portfolio returns. Some people are turning to AI for automated ...

Comprehensive structured tick history data might provide great value in terms of ideation, building and testing trading strategies. Let’s explore the indicative equilibrium price (IEP) during the ...

Discover how fractals simplify market chaos, identify reversal points, and enhance your trading strategy. Learn patterns and ...

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 ...

In this article, we'll explore the development of a trading system for Coffee futures (@KC), listed on the Intercontinental Exchange (ICE) in New York. The goal is to diversify our portfolio by ...

Day trading presents an intriguing opportunity for astute investors seeking to explore new avenues in the financial markets. And a new rule change recently approved by the Financial Industry ...