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 ...

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 ...

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 ...

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 ...

Stock traders profit from slight movements in asset prices. By entering and exiting positions with precise timing, traders can grow their portfolios over time. It may seem like luck to properly time ...

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 ...

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 ...