------------------------------------------------------------------------------------------------------------------------------------------ Mankading Controversial Strategy Mankading has been discussed which is used at times to score a plus against your opponent and compared with similar box kind of strategy used in real time trading.
The act of dismissing a batsman when bowler makes the bowling action before he could complete the bowling -non striker batsman leaves the crease & bowler removes the bail. This act is called Mankading & was named after legendary cricketer - Sir, Vinoo Mankad
Latest Mankading act which I recollect was seen carrying out by famous cricketer- Chris Gayle in IPL & In Under-19 Cricket World Cup -West Indies V/s Zimbabwe where West Indies took the last quarter-final spot with a thrilling, but controversial, two-run win over Zimbabwe & finally winning Under - 19 World Cup.
As suggested last in Auropharma update about Nifty that we expect gap down & which was seen in today's session.
Current Support between 11340-11350 can help Nifty Index to bounce close to 11390-11415 zone upside
Going below 11340 -Next support comes at 11250-11265 zone. Thanks
Trade active
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11:41 Hrs 25th March 2019
Last Price@11336
11340-11350 is no trade zone for me any move above 11350 - we can expect upside bounce as suggested last update above & any move below 11340 & holding below 11340 - we can expect 11280 & 11250/11260 target zone downside. Thanks
Trade active
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14:37 Hrs 25th March 2019
Nifty Update - "Avoid Getting Emotional -That is my mantra, always to trade & be happy wherever market goes "
Last Price@11329
As expected below 11340 we can see nifty to 11280/11260 - current low@11312
If Nifty bounces above 11330 - we need to book partial profits what ever we get as going above 11340 -It has strong chances of upside push to 11390-11415
SIr, My credit card expired and I updated my billing information, next due is on 30th of march but my chart s are not opening and guess service stopped, can you give please any trading view support team indian cutomer care number, I am unable to trade now.
There is no customer care contact numbers available in this site
WaveTalks
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@venkat, Hi Venkat, unfortunately, There is no support team in India - Its all in U.S. - You can approach them only through charts /tools panel -right hand side - tool's panel- last icon - "help icon" & get in touch by clicking -"contact support"
Great analysis. Have taken the position @69.35 (apr fut price). Other indicators like macs, rsi & mfi are also showing signs of reversal. So i guess this should work in our favour.
MAYA_MUMBAI
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Thanks for the video and i appreciate your regular updates which you do .
Do you see a significant resistance @ 70 (which is a 50 % retracement of the previous down leg)
I am asking since there is always an inverse relation of rupee movement with nifty Index!
WaveTalks
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@MAYA_MUMBAI, Inverse Relation between Rupee & Nifty - What is the data which you have taken to establish the relationship. Can You tell about the relationship -if you take USDINR Data since 2010-2014 & India Nifty data since 2010 -2014 to current year 2019 - is it inverse or direct relationship between them ?
MAYA_MUMBAI
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@AbhishekHSinghCMT,
i guess i got the wordings wrong!
What i have observed is that
whenever the rupee depreciates ; Nifty movement is usually bearish
& when rupee appreciates ; Nifty movement is usually bullish
I understand that the correlation between the rupee and the Nify is FII flows.
Since FIIs need the Indian currency to invest in the Indian market, the demand for the rupee goes up, in turn, boosting the currency.
I am not from a financial background & i do not have a statistics behind the statement i made .
I am sorry if i have made a misleading statement
WaveTalks
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@MAYA_MUMBAI, No- You are correct in putting your remark in the first comment & even 2nd but your findings are based on short term data - I asked you check for long term data -what is the relationship between Rupee & Index Nifty - if you take data from 2014 to 2019 & check the data for short term just 6 months to 1 year data & see the relationship between them. Are you getting the same relationship ?
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