> ## Documentation Index > Fetch the complete documentation index at: https://kalpi.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Rolling Returns Analysis > Eliminate endpoint bias by evaluating how your strategy performs across every possible timeframe. Most investors make the mistake of looking at a strategy's returns from "Day 1 to the Current Day." This is called **Endpoint Bias**. If the market happened to have a massive bull run exactly at the end of your testing window, your strategy will look like a genius, even if it performed terribly for the three years prior. **Rolling Returns Analysis** solves this by calculating the portfolio's return for every possible overlapping holding period (e.g., every possible 1-year window in your 5-year dataset). ## Why It Matters Rolling Returns show you the *consistency* of your alpha. * **The Robust Strategy:** If your rolling returns are consistently positive, it means your strategy isn't just "lucky"—it is structurally sound and generates value regardless of when you happened to enter the market. * **The Fragile Strategy:** If your rolling returns show massive swings between +50% and -30%, your strategy is highly dependent on specific market regimes and will likely fail as soon as that regime shifts. **Where to find this in Kalpi:** Select the *Rolling Statistics* tab in your Portfolio Analysis to view the smoothed performance curves of your active strategy versus your benchmark.