Discover how backtesting works in trading, its benefits, limitations, and why it's essential for evaluating strategy ...

Robust backtesting can give useful insights on how a trading strategy might perform in the future. The use of tick data for backtesting covers many different strategies, whether they are high ...

Right now, GPT-5 acts as a copilot for crypto trading—providing insights, alerts, and plans—but human execution is still required. However, AI-native trading platforms are in development, where ...

Scalability and Customization As your portfolio grows or your strategy evolves, a ChatGPT agent can be easily customized to match your specific goals, risk tolerance, and trading style.

If you haven’t applied any backtesting to your trading in the past, you’re going to have to take some time to learn how to properly utilize it in your own trading.

Beginning early next year, Fidelity Investments will enable investors to backtest their trading strategies online at no cost through a service called Wealth-Lab Pro.

Swapping CEFs with premiums with similar CEFs with discounts is a common trading strategy. I backtest the performance of said strategy for some First Trust MLP/Midstream CEFs; results were very ...

On-chain data adds a unique dimension to your trading. It's the bridge between market structure and investor psychology.

SMA and EMA volatility forecasting models can deliver attractive results for a long/short VXX trading strategy, despite their simplicity.

Momentum trading, a strategy centered on the idea that securities that have performed well in the past will continue to do so in the future, has gained popularity among traders seeking to ...