Trading Strategies

BackAlpha supports data-driven analysis of multiple trading strategies. Click on any strategy below to explore how it performs historically across different stocks and ETFs.

Available Strategies

Most Flexible

Crossover Strategy

A versatile framework where buy/sell signals are triggered by the crossing of indicators like price, SMA, or EMA. Unlock the full flexibility of crossover logic — with millions of possible combinations across indicators, periods, and thresholds.

Price > SMA 200
SMA 10 > SMA 200
EMA 30 > EMA 50
...and many more — mix and match freely

View strategy →

Buy and Hold

A long-term strategy that involves buying once and holding through market ups and downs to capture overall growth.

Dollar Cost Averaging (DCA)

Invest a fixed amount regularly to reduce timing risk and build wealth steadily.