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 ...

Integrated directly into Public, Level2 enables retail traders to build, backtest, and execute automated trading strategies without writing a single line of code, bringing professional-grade tools ...

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 ...

Trading futures can feel like navigating uncharted waters, but NinjaTrader offers a way to test your strategies without risking a dime. Paper trading on NinjaTrader provides a realistic, hands-on ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...

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 ...

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 ...

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 ...