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 ...

What Are Trading Exit Strategies? Trading exit strategies are the rules and methods you follow to close your trades at the right time and price. These strategies help protect your capital, lock in ...

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 ...

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

Find your trading strategies that work and implement them with the best online brokers. Unlocking the secrets of successful trading has captivated the minds of countless people seeking financial ...

In the constantly changing world of cryptocurrency trading, artificial intelligence (AI) has emerged as one of the strongest tools available to traders who demand data-informed decisions. But an AI ...

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 ...

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 ...