Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to replicate the past data, trade price, traded volume and market depth.

By stress testing their strategies, traders can be better prepared for unexpected market conditions and improve their chances of success. In summary, risk management is a crucial aspect of AI trading.

Still, some strategies work, and one strategy that I think could plausibly work goes something like this. Under normal market conditions, invest in an unleveraged S&P 500 fund.

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 ...

AppLabs, with its wide spread experience in this arena, has conceptualized certain strategies to help clients in addressing all the risks related to performance testing of trading applications.

Minute Trading provides an approach for those who prefer fast-paced, short-timeframe strategies. Using minute-based charts like the 1-minute or 5-minute chart can help traders identify quick ...

12. News Trading News trading is a more advanced trading strategy that requires you to stay on top of news and know how to interpret it. How will the Federal Reserve meeting impact prices?

Day trading strategies often depend on rapid price fluctuations. Price spikes, for example, can represent an opportunity to potentially make money on an asset already in your portfolio.