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 ...

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 ...

The financial market has witnessed an increasing volume of algorithmic trading, especially as various AI techniques are emerging. Today most transactions in financial markets are executed by automated ...

In the rapidly evolving world of trading, having access to reliable insights and expert strategies can be the difference between success and failure. Enter “Get My Next Trade Free,” a powerful service ...

Stock traders profit from slight movements in asset prices. By entering and exiting positions with precise timing, traders can grow their portfolios over time. It may seem like luck to properly time ...

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 ...