Some ofthe biggest breakouts occur after Volatility Contraction, the analogy is that more a spring is pressed, higher it jumps whenever it gets released.

There is a VCP Scanner on chartink (Not mine). This may also be used to find potential Breakouts.

More from Professor

Bringing Data Science to Nifty Analysis. A small 🧵

As per Normal Distribution 68% of the time movement is with 1% SD Limits.

For 95% pf the times movement is within 2% SD limits.

And its only 0.3% of the times that movement exceeds 3 SD.


Since 95% covers a lot of ground that's why 2SD is considered to be a a safe range for most events.

The farther we move from the average, chances of occurrence go down. This is what Taleb sahab calls Tail risk, because it lies in the tail of the standard distribution curve.

Normal distribution occurs everywhere. See this


Bollinger Band, which is a very popular indicator has a setting of 2SD. Because its expected that 95% of the time moves will be confined to 2SD limits.

When we say that price is at upper/lower Bollinger band, we are saying that it has reached 2 SD limits and likely to reverse.

Now coming to current scenario, open Nifty daily chart and apply two bollinger Bands on it.

First with default setting and in second change settings to 3 standard deviation.

Crossing 3 SD boundary means that Nifty is now in very rare territory where it has been only 0.3%

More from Screeners

You May Also Like