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
Forgot to mention one point. How to trail profits in Breakout trades.
One of the best way that I know is ATR based trailing.
Here is an example https://t.co/BTATx5fyW6
One of the best way that I know is ATR based trailing.
Here is an example https://t.co/BTATx5fyW6
An example of ATR based TSL.
— Professor (@DillikiBiili) April 9, 2021
SL for coming candle is Low of the just completed candle - ATR of previous candle. Chart is self explanatory. https://t.co/D95iv4t5j6 pic.twitter.com/e8BkO2j5rn
OI Data reading seekh lo:
See Large OIl buildup kin strikes par hai and in between strikes data kaise move ho raha hai.
Thumb Rule:
Calls Reduction + Puts addition = Upthrust
Calls Addition + Put Reduction = Down move
Higher the Delta OI velocity, faster is the move.
See Large OIl buildup kin strikes par hai and in between strikes data kaise move ho raha hai.
Thumb Rule:
Calls Reduction + Puts addition = Upthrust
Calls Addition + Put Reduction = Down move
Higher the Delta OI velocity, faster is the move.
For Nifty Intraday Traders: As of now, this seems to be a buy on dip market and looks like there won't be any juicy trades on short side. Will update if data changes. https://t.co/PCIyyPld4A pic.twitter.com/ES3o4z60rY
— Professor (@DillikiBiili) March 11, 2022
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%
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
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
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%