Kurtosis

What does Kurtosis measure?

How prone the stock has been to sudden jumps. High readings mean fat tails — the quiet stretches are quieter and the shocks are bigger.

How is Kurtosis calculated?

Over the last 20 closes, measure how far each sits from the window's average, raise those distances to the fourth power, average them, and scale against the variance. Then subtract 3 so a normal, well-behaved distribution reads 0.

Written by reading the engine’s real computation, not a textbook — where the two differ, the page describes what actually runs.

How do I use Kurtosis in a bot?

In the builder, add an indicator of type kurtosis (parameters: length, default 20). Its value becomes an operand you can compare in any entry or exit rule. The engine grades the whole rule honestly: real fills, no look-ahead, half the history held back.

Related indicators

• Lower shadowThe wick hanging below the candle's body — how far sellers pushed before buyers took it back.
• Mean abs deviationThe typical distance between price and its own average — a plain-spoken volatility measure that one outlier cannot blow up.
• Mass indexA reversal warning that watches the SHAPE of the range rather than direction.
• Normalized ATRThe average true range stated as a percentage of price, so a $20 stock and a $600 stock can be compared on equal terms.

Or browse all 158 indicators in the full library.