The rapid sell-off in Bitcoin last week is a good example of how exogenous market factors can trigger endogenous market structure factors leading to a cascading sell-off.

This phenomenon is an important part of markets and (IMO) underappreciated.
In the case of Bitcoin, Phase 1 of the sell of was that there was a large hashrate drop which triggered a wave of selling.

However, that also forced a lot of overlevered players to cover their levered long positions (or they got liquidated), causing a second leg down.
I think this is important because the common understanding of price movements is that they are reflective of investors saying "I have updated my beliefs about the future value of this asset and am buying/selling based on that."
This is definitely part of the picture.

In this case, the first leg down was probably reflective of investors updating their beliefs about bitcoin's value: a lot of hashrate is concentrated in one province in China and that poses a real risk.
However, the second leg of the price drop was a result of market structure.

If you are levered 10:1 and get margin called, you have to sell, regardless of your beliefs.
It was not implying that investors further lowered the expectations of bitcoin's value, just that levered people got rekd.
This is probably more common in bitcoin because it's not really regulated and people use a stupid amount of leverage.

But, you can see the same sand pile effect in other markets.

taylorpearson.me/interestingtim…
I think there is reasonable evidence that what happened in Q1 2020 had a similar dynamic where an exogenous event (global pandemic) triggered the first leg down.

Then, endogenous factors relating to market structure triggered the next leg down.
I think this is important because it's not how you will hear price moves explained. They are almost always explained in terms of exogenous events: Covid or a blackout in China in these examples.
Having spent a lot more time around traders over the last few years, one of the big lessons for me has been that exogenous events are only part of the picture.

Equally important is the market structure including how the players are interlinked and levered to one another.
This gets back, of course, to ergodicity.

The investor does not get the returns of the market if they are forced to liquidate!

taylorpearson.me/ergodicity/
data via @coinmetrics newsletter: coinmetrics.substack.com/p/coin-metrics…

[Insert all appropriate caveats that one can never truly KNOW what caused any price movement and so the above is all reasoning based on incomplete data]

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More from @TaylorPearsonMe

23 Apr
I’ve been (rental) house hunting for the last couple of months. I don’t really know anything about real estate investing, but I’ve been trying to read up (John T. Reed’s Best Practices for the Intelligent Real Estate Investor is my favorite so far).
It’s been interesting seeing the market and how homes are priced.

Factors which the market seems to price really efficiently include:
-Square footage
-Neighborhood
-Amenities/Finishes
-View
However, there are a lot of factors that (in my experience) have very high quality of life implications and basically don’t seem priced in at all.
Read 19 tweets
22 Apr
One thing I've changed my mind on in the last few years is the risks presented by leverage.

My historical thinking and most people's thinking tends to be too black and white and leads to sub-optimal decisions.
To give an extreme example, what is riskier:

1. having 100% of your (unlevered) portfolio in Tron and XRP

2. Having 1.5x leverage applied to a highly diversified portfolio of stocks, bonds, commodities, and illiquid alternatives
I think basically everyone would agree the first is riskier (don't @ me XRP people).
Read 6 tweets
22 Apr
The way you get rich has changed as technology has evolved.

"In 1960, most of the people who start startups today would have [[gotten a job]]. You could get rich from starting your own company in 1890 and in 2020, but in 1960 it was not really a viable option."
The labor market, like any other market, is dynamic.

Just because something worked for a prior generation, doesn't mean it will work for the next.
If anything, it is less likely.

In financial markets, the best performing strategy over the past 20 years is usually one of the poorest performing strategies over the next 20 because it gets crowded and returns deteriorate.

The same is true of the labor market.
Read 5 tweets
20 Apr
Love this analogy: product management (or just company management) is like running an options book

In both cases, you have to think about your "portfolio" level exposures.
Too many crazy initiatives is like buying a bunch of exotic deep OTM options.

Even if it's positive expectancy long-term but you're likely to bleed to death before you find out.
Too many predictable, boring initiatives is like being a systematic vol seller.

It works well for a long time until disruption theory plays out and you get smoked all of a sudden.

Nokia/Blackberry getting smoked by Apple probably a good example.
Read 4 tweets
20 Apr
Great podcast from @AttainCap2 and @rcmAlts with Roy Niederhoffer.

They touch on
-Why US stocks looked so unattractive just before their largest bull run
-The danger of stock/bond correlation
-The Sharpe ratio of your fire insurance

podcasts.apple.com/us/podcast/mak…
"In 1983 when I had some money from my computer software business, I look back at Track Records and the stock market was completely unchanged in real terms for a dozen years.

And I just like why would anybody invest in the stock market? I want to be in the bond market."
"My whole career, until recently, has been spent in a falling rate environment. And it's only now that we're starting to see the potential for bonds and stocks and moving the same direction.

And that throws off this whole 60/40 idea that you should have stocks and bonds and...
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12 Apr
1/ One lesson I learned from sports is that the best way to be good at a thing is to do a lot of that specific thing.

This seems very obvious but often people don't do it.
2/ In the case of sports, lifting weights and being in good shape can help you be good at basketball, but the person who is less in shape but plays a lot of basketball will be better.
3/ I went to high school with a few people that went on to play D1 sports (one went pro) and none of them really spent a lot of time in the weight room, but they practiced their sport a ton.
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