Will start this thread with a disclaimer. I have never invested a rupee in cryptos 😀

But I have studied bull and bear cycles and financial bubbles extensively. Saw 1992, 2000, 2008 with own eyes. The first one as a novice, the next two when I knew to analyze

The amount of chatter I am seeing in friends, family and social media about cryptos has gone through the roof. For everyone, it's a dream to make 100x or even 1000x easily. Basically, become stinking rich easily
( it never happens )
In any financial bubble, the top is made in extreme speed and violence. The distribution happens on the way down. Unless one saw the rates of 65k on bitcoin, one wouldn't buy at 30-35k or 20k. That 65k is an anchor point which leads to greed
During the tulipmania, a single piece of tulip reached a price of $750,000 in today's money. When we see that history, we think "what idiots". But consider this, as of now meme coins generated by someone in their garage are being traded at absurd prices
Then there is this joke called NFT. A piece of "digital art" basically made by someone on their computer ( who is not even a known artist) are being sold for millions of dollars
Whatever logic crypto fanatics throw at me to justify these prices or that they will go higher fails to convince me that the future generation will not call us "what idiots". We are in a manic bubble like tulipmania or even bigger
----end ---
I leave you with this chart of HFCL, the most darling stock of the 2000 bull run. I knew quite a few "smart " traders who got in at 1400-1600 range and could never sell
What I think will happen. During distribution also, there is huge volatility with price going up and down to "lure". Remember, at any bubble the prices are #always justified by logic ( which are new and against convention). Like Harshad Mehta's "replacement cost theory"

More from Subhadip Nandy

IV - A thread

In financial mathematics, implied volatility of an option contract is
that value of the volatility of the underlying instrument which, when
input in an option pricing model ) will return a theoretical value equal to the current market price of the option (1/n)

Implied volatility, a forward-looking and subjective measure, differs
from historical volatility because the latter is calculated from known
past returns of a security. .
https://t.co/iC5wVf7kvj (2/n)

To understand where Implied Volatility stands in terms of the underlying, implied volatility rank is used to understand its implied volatility from a one year high and low IV.
https://t.co/NFPOidRRcH

https://t.co/qNqinEqaKY

(3/n)

Options traders are always looking at the IV and IVR/IVP. For option
buyers, a low IV environment is best to initiate positions as the
subsequent rise in IV actually helps their positions . Even if the IV
remains flat, the position is not hurt by volatility (4/n)

Option sellers on the other hand are looking for high IV scenarios, where
the subsequent fall in IV ( known a vol crush , most often seen after
earnings/events) helps their positions. Here also, if the IV does not
rise, it does not hurt a seller's positions (5/n)
Perhaps you have the idea that calling me " 1 lot Nandy" is somehow derogatory and a easy poke at me. Allow me to explain why I look at this moniker as a badge of honour


I have traded 1 lot continuously twice in my life. The first in 2003 after I blew up on my INFY trade. I traded 1 lot ACC fut consistently and made 50k in a month

The 2nd time in 2013. When I suffered continuous losses for 5-6 months due to a variety of psychological issues. Then I traded 1 lot Nifty options consistently for 3 months. After that 2 lots for next 1 month and slowly increased

I have shared these two incidents on my various interveiws and regularly share this in detail with my handholding students when I talk about trading psychology.

This logic of trading 1 lot to iron out trading issues I learnt from the interview of Anthony Saliba, who traded 1 lot in options for 6 months. BTW, Saliba was the only options trader to have been profiled on the original Market Wizards ( I read his interview and used his logic)
This is actually an interesting question and a correct observation. Many people before you also have made this observation, so I am going to explain this the best I can


I am trading since badla days. There being long meant you had to pay badla / interest and being short meant you received badla. Similar to an options buyer having theta burn and an options seller being theta positive. So the bias among pros were being short bit

Now, as of now I am an options buyer. All my strategies are geared towards options buying, so I have a theta burn continuosly. I do use strategies to cover that a bit, but still the burn is there

Now, let's consider how an options buyer makes money. His enemy is theta, vega can be friend or enemy ( coming to this in next tweet) , Delta is whether his view is right or wrong

Now say I am bullish on BNF and I buy calls and I am directionally correct . As BNF goes up, generally IV will decrease. This leads to a double whammy.
1. Vega hurts me
2. Theta decay increases.
So, the position does give money, but slowly

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