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.
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.

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.
https://t.co/HHwUpIXTRG
The Galton Machine shows order from randomness. Each ball bounces left or right at random, 12 times, but together where they fall can be predicted - the normal distribution. This one made by: https://t.co/oI9wOGq7nG pic.twitter.com/VQtVu66OSE
— Tom Stafford (@tomstafford) April 19, 2018
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.
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 Professor
Good Books for learning Price Action.
First two are good enough, if you want to really go in depth then go for 3rd one by Al Brooks later (Its only for serious and committed learners, as its too detailed and would tire out a casual reader). https://t.co/2Vgq5gCVXL
First two are good enough, if you want to really go in depth then go for 3rd one by Al Brooks later (Its only for serious and committed learners, as its too detailed and would tire out a casual reader). https://t.co/2Vgq5gCVXL

Book name plz
— \ufe0e (@12354368ys_g) March 4, 2022