V I S O R

Using Visor · intermediate · 6 min

Backtesting in Visor

A backtest replays a trading rule over historical data to see how it would have behaved. Visor's backtester is deliberately honest about the mechanics — and, more importantly, about what a backtest can and can't tell you.

Backtest Results for an SMA-cross strategy: headline stats, a robustness verdict, and the equity curve versus buy-and-hold

Building a strategy

In the Strategy Editor you define a rule with two parts:

Pick a symbol and a range (6 months, 1 year, or 5 years of daily bars), save it, and press Run.

How the fills work

The engine is careful about when trades happen, because sloppy assumptions here are the classic way a backtest lies to you:

These sound like details. They are the difference between a realistic result and a fantasy one.

Reading the run card

A completed run shows the headline stats — total return, buy-and-hold return for the same window, number of trades, win rate, profit factor, maximum drawdown, and exposure — over an equity curve. Two of these deserve special attention:

Every run also carries a run card recording the exact data vintage and engine version behind it, so a result is reproducible and you always know what it was computed on.

The part that matters most

A good-looking backtest is the easiest thing in the world to produce, and the least meaningful. That is why every run in Visor is scored by a robustness engine — a set of gates that ask whether the result would survive scrutiny, not just whether it looks good. The next lesson is entirely about reading that verdict, and it is the most important thing in this track.

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