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 following post was written and/or published as a collaboration between Benzinga’s in-house sponsored content team and a financial partner of Benzinga. Smart investing is not for the faint of heart ...

In a world where achieving consistent passive income is a goal for many investors, Crypto trading bots have emerged as ...

Leveraged S&P 500 funds outperform during bull markets and recoveries, underperform during bear markets. Investing in leveraged S&P 500 funds, but only after a downturn, could result in market-beating ...

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 ...

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 ...

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 ...

Researchers from the Swiss National Bank have shown how a trading strategy that uses fine-tuned large language models (LLMs) to analyse sentiment in the foreign exchange market could outperform ...