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 ...

A test-first EA playbook for 2026 works because it treats scalable trading as a sequence: backtests that respect margin and liquidation mechanics, robustness checks that reduce overfitting risk, and a ...

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 ...

Retail traders on Webull are gaining access to institutional-style trading automation following a new partnership with Level2 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...