The prices of the futures as a function of their time to expiry looks like below.
You step away from the desk to make some tea.
And, upon your return, you see a different picture...
1/n
What happened to the Feb expiry?
It kinda sticks up.
The curve looks kinky now.
Why?
2/n
Could be many things:
1. Random large demand for that expiry has created temporary price impact, likely to revert 2. New info impacting that month is being priced efficiently 3. Somebody knows something and you're likely to see more demand come in behind in that expiry
3/n
Part of your job, if you are trading this product, is to know what is happening.
Is there anything that could impact Feb expectations, but not Jan and March?
But you can't always know everything and you need to work in probability weighted payoffs.
4/n
Say this product is interest rate futures.
(The "price" in this case might be 100 minus the yield.)
In this market, you might assume that 1 and 2 are more likely than 3.
So you'd look at the impact of being right and wrong in both these cases.
5/n
Take the first case. You don't know anything that could impact only that month.
So you think that kink might be caused by anomalous random demand. (People buy and sell stuff for all kinds of reasons.)
So you might do something like this.
6/n
You'd sell Feb, and buy (half as much of) Jan and Mar.
Essentially, you're looking to get paid to hammer out the kink.
And limiting exposure to changes in the overall level or slope of the curve.
So your expected return, if right, is the distance back to a non-kinky curve
7/n
Less the costs to trade.
You're selling a contract that is too expensive.
And you're buying two fairly priced futures (at least on average.)
Your expected returns come from the relative convergence of the expensive contract vs the fairly priced ones... less trading costs.
8/n
Now - what if you're wrong?
Depends how you're wrong.
If it's scenario 2: some news that that has been priced correctly by the market - then there's is not much expected downside to getting the trade on if you're wrong.
8/n
If the market priced this correctly, being wrong is quite benign.
You're buying two fairly priced futures and selling one fairly priced one.
Your expected return is zero, less trading cost.
9/n
In scenario 3, somebody knows something, and the market has under-reacted to it so far.
In this case the convergence trade has negative expectation.
You thought Feb was rich but it was actually cheap - and you expect to get run over.
10/n
So the optimal thing to do depends on the market and your assessment of the probabilities.
If 2 is more likely than 3, on average, then "get the trade on and ask questions later" is probably optimal.
If 3 is more likely than 2, then that will kill you.
11/n
In the highly liquid short term interest rate futures markets where I typically traded this stuff - 2 was more likely than 3.
So - I tried to be as informed as possible - but ultimately "ape in and ask questions later" was a reasonable trading approach.
12/n
However... if I'd tried to trade agricultural commodities, or the stuff @TCK_JRubano trades in this way, I might have been stretchered out of the building!
There's never an always correct answer in trading.
The only mistake is not thinking as clearly as possible.
People say a lot of things about trading, and most of it is worthless.
So it's useful to be able to quickly discard ideas.
Let's take an example...
Many in crypto, including @zhusu, will tell you that buying new highs is a good plan.
Is it? Let's have a look...
1/n
It's important to understand that discarding ideas is a lot easier and quicker than verifying ideas.
Your mission is not to do the most perfect simulation of reality from the offset. You'll waste a lot of time doing that.
You want to do very quick data analysis.
2/n
Plenty of time to go deep later.
We: 1. pull daily price data for all FTX spot contracts 3. for each asset for each day, calculate the 20d high 4. calculate the distance in days from the 20d high 5. calculate next day log returns
3/n
And, is it just me, or is getting absolutely balls long a concentrated hugely negative-carry bet written and marked my a more powerful counterparty, essentially a masterclass in how NOT to trade?
If I were Burry then, instead of having a cringe boomer Twitter meltdown, I would simply put on some My Chemical Romance, do some blow with some goth hookers, and blow off steam the old-fashioned way.
You buy a call option in a heavily pumped meme stock you think is going to keep going up.
You were right, it keeps going up!
But your call is losing value. Why?
🧵for those who shouldn't be trading options but are going to anyway!
1/n
Without a good mental model, then the price of an option contract may appear to change in confusing and magical ways.
With a good model, you will understand the most important dynamics intuitively - without needing any complex maths.
This is the 101 before the 101.
2/n
[A quick administrative note so I don't confuse anyone:
To keep it simple we're going to inhabit a world where:
- options are European style
- interest rates, risk-premia, dividends, and other carrying costs don't exist.
i.e. we're gonna inhabit a risk-neutral world]
3/n