Bulls are immensely more stronger than bears today. Consider this a bear trap and bulls will get back control is BNF starts trading above 35850. Then expect a one side upmove into closing
Post 1.30 nothing happened, range trading, Now showing a bit bullishness but almost at close. Over to tomorrow
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Understand this trade carefully 1. I stayed in the trade from 9th to 16th July, waited ( normally in any options trade, decay/theta would have killed you) 2. Stock did not move in my direction ( direction/delta has been against me) 3. My upsides were wide open
But still, I will escape with minimal loss.
This is the essence of options trading and trading in general. Profit trades are OK, but what really matters is how you can escape with minimal losses.
Proper option strategies help hugely in this matter. Not possible in futures/cash
Trade 1 on @CNBC_Awaaz : Ambuja Cements
Buy1*370CE & sell 1*385CE
Debit = Rs.5 =max risk
SL 2.5 on the spread by closing
Price target 385
Trade 2 on @CNBC_Awaaz : Nifty ratio spread
Buy 1*16000ce monthly & sell 2*16150ce monthly
Debit = 10
Trade has unlimited risk above 16300.
SO 1. sqoff this trade when Nifty reaches 16150 OR 2. If nifty stays here for next 3-5 trading sessions, buy 1*16300ce < rs.10
I had shared a longer term positional analysis of Nifty fut a few days back. Remember, only if we get two days consecutive closes above 15840 only then we will be out of this congestion and large upsides may open up
Nifty fut looks strongly bullish,we may see upsides from here. SL 15745
check the time of the tweet and the charts.
I do understand breakouts :)
The logic of taking money off the table on a move working today too. However, I believe today we should get continuation moves the next time a move takes place
Currently we are in a low volume post the new margin rules and a low volatility zone. (Defined volatility as basic daily range ( high -low))
It's apparently obvious the trading volume should be highly correlated with volatility, though it's difficult to establish causality
A good argument can be that heavy trading volume moves the underlying price more thus increasing volatility OR
volatility induces traders to trade more thus increasing volume.
I tried to test this hypothesis
The above chart shows volume and volatility data on Nifty fut since inception. Volume on the X axis and volatility on the Y axis. The correlation coefficient since inception is 0.54. But initial days on Nifty fut were of low volume, so I tested for last 5 years and it's 0.78