Jab tak ki meri book nahi aati, ye kar lo:
1. Go through Zerodha Varsity chapters on Technical Analysis at least 2 times.
2. Then read 'Technical Analysis Explained' by Martin Pring
3. Finally read 'Price Action bar by bar' by Al Books (Not for casual reader).
Sir @DillikiBiili , could you please suggest a book for technical analysis ?
— Pawan Yadav (@pawan_yadav86) March 25, 2022
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
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%
More from Screeners
I use 4 scanners:
1) Volatility, Volume & daily range compression scanner
2) Punch-Drunk-Love
3) GE Ratio - to track fundamentally strong stocks
4) Recently created one to track Power Play setups.
I get around 150-200 stocks daily & choose the ones with the most potential.
1) Volatility, Volume & daily range compression scanner
2) Punch-Drunk-Love
3) GE Ratio - to track fundamentally strong stocks
4) Recently created one to track Power Play setups.
I get around 150-200 stocks daily & choose the ones with the most potential.
Sir, How do u find a set up - Do you track chart of each stock daily ? Or do u have filters , that lead you to a number of stocks , after which you scan them.
— AKASH GUPTA (@lockdownmurti) August 25, 2021