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 ...

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

The trading industry is taking an increasingly quantitative approach to testing trading strategies and maintaining regulatory oversight, with several initiatives expected to hit the market in the ...

These characteristics make TSLA an ideal candidate for testing trend-following strategies. The aim is to capture large price ...

Despite the success stories that flood social media, experts caution against jumping in too quickly. For anyone scrolling through r/WallStreetBets or other popular online investing forums, it's easy ...

IIT Madras graduate Raghav Talwar is tackling a major pain point in quantitative trading: the lengthy process of testing new datasets and strategies. With most small and mid-sized trading firms ...

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 ...

Good Morning Traders! In today’s Market Clubhouse Morning Memo, we will discuss SPY, QQQ, AAPL, MSFT, NVDA, GOOGL, META, and TSLA. Our proprietary formula, exclusive to Market Clubhouse, dictates ...