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 ...

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 ...

New to day trading? Master the basics with 10 proven tips—choosing the right platform, managing risk, controlling emotions, ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

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 ...

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 ...

Imagine a tireless entity, relentlessly analyzing patterns and executing trades 24/7 in the turbulent, fast-paced foreign exchange market. A forex trading bot is an algorithmically driven trading ...