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Why indicators lag

Every indicator is calculated from past prices and can therefore only describe what has already happened. Expecting more of it means misunderstanding the tool.

Learning objective: After this lesson you can explain why no indicator can predict the future.

1 min read Last checked: 2026-09-24

An indicator is a formula applied to past prices. So it can't contain anything that wasn't already in the price. That's not criticism, it simply follows from how it's built.

Describing, Not Predicting

That gives the most important limit. An indicator describes a state, it doesn't predict anything. If someone tells you a signal predicted a move, they've got the order mixed up. The signal came because the move had already started.

The Lag

The second limit is the delay. Every bit of smoothing costs time. An indicator that's reliable reacts late. One that reacts fast gives lots of false signals. You can't have both at once, you can only choose.

Too Many Indicators

The third limit shows when you look at many indicators at the same time. If you have enough of them, you'll find confirmation for any decision. Then it's no longer analysis. It's a machine that supplies reasons for what you wanted to do anyway.

Summary

  • An indicator describes, it doesn't predict.
  • Reliable and fast at the same time isn't possible, you can only choose.
  • Many indicators give apparent confirmation without new information.

Did you get it?

Why can't an indicator contain anything about the future?

Because it's calculated only from past prices.

What trade off does all smoothing have?

More smoothing means fewer false signals and more delay, less smoothing the opposite.

Why does combining many indicators help so little?

Because they all come from the same price series and move very similarly, so they contribute nothing independent.

Check your understanding

Your task

Picture a 20 day average and a 100 day average. Write down which one gives more false signals and which one lags more, and explain why in one sentence. Then name one piece of information from outside the price series that you would need so that a combination really adds something of its own.

Sources and further reading

  • The paper on the probability of backtest overfitting shows why optimizing parameters such as smoothing degrees against historical data regularly produces overfitting. View source ↗

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Where to go from here

Next lessonReading a balance sheet