Lo Seekho !
Go through these OI basics and then train your eyes to catch these patterns in live market.
Give it time, OI analysis comes through keen observation only. No books/videos for this. https://t.co/wTr49nqGCg
Hum me sikha dijiye
— Gaurav Singh (@GauravBenarasi) August 11, 2021
More from Professor
Asian Paints took a bounce exactly from the level given on 21st October.
It has string resistance at 3200, so fresh up-move will be confirmed only when it opens above 3220-3230 levels
#ASIANPAINT
#DKBPositional https://t.co/Q6fTbK5VHM
It has string resistance at 3200, so fresh up-move will be confirmed only when it opens above 3220-3230 levels
#ASIANPAINT
#DKBPositional https://t.co/Q6fTbK5VHM
Asian Paints also at crucial support line, bulls desperately need a reversal here, else it'll go in hibernation..... pic.twitter.com/VTfaMfpHXs
— Professor (@DillikiBiili) October 21, 2021
For finding potential breakout candidates, you may run this scanner daily EOD, whenever any new candidate props up, check its chart for signs of breakout.
You may modify & fine tune this as per your own criteria like adding RSI or ADX or other indicators. https://t.co/FdiPG1c4s0
You may modify & fine tune this as per your own criteria like adding RSI or ADX or other indicators. https://t.co/FdiPG1c4s0
Bhai, can you please educate us, how do you find the breakout stocks? I mean which scanner? Any inputs would be much helpful.
— Loyalty Respect (@Novicetrader99) October 1, 2021
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%