Kiranks07

Nifty pattern for May 14 2021...Yes 2 days in advance

NSE:NIFTY   Nifty 50 Index

Please find the NIFTY pattern for May 14 2021 based on Sentiment analysis. This does not 100% represent price always but shows the sentiment for the day based on past data.
A data discovery and NOT a prediction.


Published at 15:30 May 12 2021



https://drive.google.com/file/d/1U_mS5uk6ATqZ8A_oY6GxogbkwzPWsgID/view?usp=sharing


The higher the Value higher is the positive sentiment .This "ideally" reflects in Price increase/decrease but the objective is to see the pattern and use it along with Intraday levels and timings to take action
Comment: Please note sometime Nifty may not FALL immediately after sentiment drops or goes up immediately as sentiment goes UP. There is a smooth UP and Down transition as well. I will give a link to past data for last 5 months Sentiment v/s Nifty data. This approaches works 65% of times only and on those days it failed it would have worked 50% of the day (ex : post 1 PM NIFTY may continuously go UP while sentiment continuously goes down)
Comment: Down till 12:18 Noon and then reversal will start . This will continue till EOD
Comment: Please Observe the Sentiment pattern is perfectly followed
Comment: if you need this pattern for tomorrow i need atleast 50 likes ...Lot of Algo coding behind this ...!!!!
Comment: BOOK ALL PE and Get ready to buy CE @14600...12:10-12:33
Comment: BOOK 90% of CE
Comment: Hope all of you have benefited from the pattern today and made good profits . We got one SELL and one BUY opportunity

Comments

Thank you Kiran.
I request you to guide how to interpret the sentiment in live market.
+1 Reply
Kiranks07 sidharth27057
@sidharth27057,you need to use this along with any technical indicators of your choice. I use only intraday levels and Positional swing numbers to trade
Reply
@Kiranks07, where is the prediction for 14 May?
Reply
I do not see the prediction buddy where is it?
Reply
Kiranks07 gleefulPie8184
@gleefulPie8184, hey i am NOT predicting the price here.Only Sentiment values
Reply
Thank you
Reply
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