Tag Archives: Finance

Fitch Downgrades America’s credit rating

I’ve spoken before about how credit rating agencies are downgrading the debt of nations. Now, Fitch has downgraded America’s credit rating from AAA to AA+. Once again I’m seeing a lot of conspiracy theories about this and I thought I’d take a moment to hit back against them.

The first conspiracy is the common one that the financial system is conspiring against the common man. This sort of conspiracy is no different from the old “evil bankers control the world” trope, but it gets a lot more traction online when it’s framed with a leftist slant. To be blunt, the financial system is competing with itself more than it is conspiring with itself. Fitch is competing with the other credit rating agencies (Moody’s, S&P) and if it downgrades America’s credit for no reason, it would lose trust in the eyes of the financial institutions which pay for its ratings.

Ratings agencies rate all kinds of debt, not just sovereign bonds. And financial institutions will pay for those ratings so they know where to invest and where to avoid. Trust is key to this, and without trust, Fitch would die. If financial institutions don’t trust Fitch’s ratings, they simply won’t pay for them and will take their business elsewhere. So Fitch cannot in any way downgrade ratings in a way that the broader financial market would not agree with, otherwise it would destroy trust and tank its business model.

In this, there is a common chicken and egg problem with ratings agencies in that they usually only change their ratings when the broader market is already leaning in a certain direction. IE they are followers, not leaders. But that that just lends more credence to their ratings. The market was already very willing to believe that America needed a downgrade, so Fitch isn’t doing anything out of the ordinary. It’s the politicians who have screwed the people on this one, not the ratings agencies.

The other, similar conspiracy I’ve seen is that the ratings agencies are conspiring to undermine Biden and tank his presidency. Biden has been trying to tout the strong economy, and some liberal commentators have been upset that the public doesn’t always buy it. So of course this must be just another GOP plot to brainwash the voters that the Biden economy isn’t awesome.

I would point out however that American real wages are still below where they were when Biden took office. Note for example that real wages declined 3.6% from June 2021 to June 2022. That’s a big dip, and people notice it. People’s ambivalence about the economy isn’t some nefarious plot, it’s very clear when listening to people’s complaints (inflation) and looking at the data (real wages dropping). It’s also quite understandable that ratings agencies have looked at this very same data, as well as the rising debt amid partisan bickering over how to pay it. From this, they might reasonable downgrade America’s credit rating. Not everything is a conspiracy against one’s favorite politician.

Many people will point to 2008 and the financial crisis about why we can never trust ratings agencies again. But that was over a decade and a half ago and every country added new laws to constrain financial institutions. Saying you can’t trust Fitch because of 2008 is like saying you can’t trust the Labour Party because they were in charge during 2008.

So Fitch has downgraded America’s credit rating, and it seems the financial markets were broadly ready to believe them. Rather that stew in conspiracies, it is better to take these criticisms to heart and find a way to fix them.

Why are conspiracies about the stock market so common?

The obvious answer to the question posed in the title is that the market is complicated, and therefore people who don’t understand it are more likely to fall into conspiracies than to admit their ignorance. But I truly am blown away by how common stock market conspiracies are amongst “retail” investors. I don’t just mean the meme stock traders, many many retail investors I’ve spoken to have conspiracies about how the amorphous Wall Street is driving the market one way or the other in order to “punish” someone. Usually the argument goes that X company is a threat to Wall Street, either because it supports some politics that Wall Street doesn’t or because its technology is highly disruptive to an entrenched industry. Therefore Wall Street “punishes” it by deliberately pushing down its stock price.

Just as an aside, that disruptive tech idea is dumb merely on the face of it. The idea is usually said to me as “Wall Street has too much money invested in Y industry, and X company has a technology that could totally disrupt it. Wall Street is protecting its investment by forcing down X company.” This is dumb on the face of it: Tesla, Amazon, and Apple were all exceptionally disruptive and still grew by leaps and bounds. Just because some investors have their money tied up in Ford doesn’t mean other investors won’t give Tesla a shot. Not every investor on Wall Street is invested in the same things, so the idea that they would act as a collective unit is nonsense.

As another aside, I wrote early about how this was a conspiracy I see a lot when talking about nuclear fusion. The idea is that fusion is such an amazing energy source that all other energy sources can’t compete, so they work together to keep it down. But if they can keep down fusion, why haven’t they kept down every other disruptive tech that upended industries through creative destruction? I never get a good answer.

Anyway I think this widely held believe, that Wall Street “punishes” stocks and causes them to go down, is simply another case of people not understanding that the market is filled with individuals acting in their own selfish interest. The only way Wall Street could act as a collective would be if each and every investor was forced to act the same way no matter what.

Say Company X has stock selling at 20$. Some Wall Street investors think that 20$ is a fair price for that stock. But some Wall Street investors are angry that Company X has technology which will disrupt their investments, so they want to “punish” it and force its price down to 1$. They can try to do this by selling the stock, but if the stock falls to say 15$, then the investors who think 20$ is a fair price will happily snap it up, because if 20$ is a fair price, then 15$ is a deal. Quickly the buying pressure from investors who think it’s undervalued should overwhelm those who want to push it down, and the price would stabilize.

Now there are two reasons this mechanism could fail. One is that all investors are forced to act in concert, which again doesn’t make sense at all. Investors compete fiercely with one another, they do not work together for common benefit. And furthermore working together creates a huge prisoners’ dilemma, if even one investor breaks with the group at large, they can reap enormous rewards by buying up stock with a fair value of 20$ for just 1$. Getting to 20x your money for free is a huge incentive to break with the collective, and no greedy investor would pass such an inventive up.

The second reason this mechanism could fail is that there are very few investors who believe the fair value is 20$, and most agree the value is 1$. But that isn’t a conspiracy in action, that’s price discovery in action. The price is an equilibrium between the expectations of the buyers and the sellers. If more and more people think its fair value is higher than at present, its price will go up. If more and more people think its fair value is lower, price will go down.

Trying to “force down” the price of a stock below its fair value is not a profitable way of doing business. No one investor or group of investors control the market, the market is a huge competition between all investors. And so while selling a stock for a price below its fair value can momentarily drop the price, it’s also a great way to lose your own money. Meanwhile if the market is filled with investors who think the fair value is higher, they’ll buy the stock back up to the original point. All you’d succeed in doing with this trick is burning your own money.

The price of your favorite stock went down because more investors thought it was overvalued than thought it was undervalued, not because of some huge Wall Street conspiracy.

Don’t put all your money into bonds, a message for SVB

So remember a while ago I wrote a post about how you should diversify your investing, not just put all your money into bonds? I just realized that if SVB had listened to me they wouldn’t have been in this mess. I talked about how rising interest rates make old bonds worth less than you payed for them, and how you’d take a loss if you needed to sell them in a hurry. That’s exactly what caused SVB’s collapse, they were sitting on assets (bonds) that had lost tons of value due to rising interest rates. That triggered fears of insolvency which triggered a bank run.

If anyone knows a dumb bank that needs to hire a smart guy like me to do risk assessment, I’m always looking for a new job. Just email theusernamewhichismine@gmail.com.

It’s not a bailout unless it comes from the bailout region of DC

America is bailing out the banks again, but like Josh Barro writes, we don’t want to say we are. When the government hands billions of dollars to Silicon Valley hedge funds by guaranteeing their deposits, it makes us wonder why they can’t hand billions of dollars to those of us struggling with inflation. Maybe they can guarantee our rents? But this totally isn’t a bailout, just ask Biden.

For those who don’t know what I’m talking about, Silicon Valley Bank (SVB) was a bank holding deposits from hedge-fund backed startups and using them to make very risky plays. Those risks cased them to crash and burned due to rising interest rates. So the government had to bail them out, but it doesn’t want to call it a bailout.

So why isn’t this bailout really a bailout? Well, only the depositors will be getting all their money back, the bond and equity holders of SVB will be getting little to nothing. This has led some to even applaud this bailout as being re-distributive: money is going from the wealthy to the poor.

Let’s get one thing straight, this is a bailout of the rich. Depositors are ALREADY guaranteed to get their money back p to $250,000. The FDIC already made sure anyone with less than $250,000 in the bank got their money back. But what about the poor hedge funds and VCs with millions, even billions of dollars locked in the bank? Well normally they would get back $250,000, but it’s not fair that rich people lose money so that’s what this bailout is supposed to cover.

The wealthy depositors will be made whole at the expense of bond and equity holders of course. But that’s just moving money from the rich, politically connected people to the rich, not-so-connected, it’s classic graft of making sure your boys get the best from the government.

More to the point, the money may not come from the government per se but it is coming from the people, or at least the people with bank accounts. FDIC is the insurance that is paid by every bank account, and it in turn pays to cover all bank accounts up to 250,000 dollars should their be a bank run. The fact that the FDIC will now be covering more, potentially up to billions in dollars, means that money has to come from somewhere. It will come from all the other people with FDIC ensured bank accounts, all the people with a few hundred or thousand dollars in the bank.

The FDIC isn’t a line item you’ll see in your bank statement, it’s an invisible insurance policy to most people. But make no mistake it is paid by the account holders. If FDIC insurance did not exist, the bank would give you a higher interest rate on your savings account because they wouldn’t need to pay insurance on your bank account. Instead, interest on deposits is likely to be lower than expected as the FDIC will have to drawn on the insurance premiums from every small account in order to cover the billions of dollars they’ve pledged to rich hedge fund managers. Poor people with small bank accounts will be made tangibly more poor in order to ensure hedge funds get all their money back.

Not only that, there is a definite moral hazard with bailout out the rich in this manner. When a bank goes under, there is supposed to be a protocol of who gets what. Depositors up to 250,000 dollars will be covered by FDIC no matter what, everything else including bond holders, equity holders, and large depositors is fair game depending on the results of the bankruptcy.

Instead, it is know going to be assumed that depositors will always be bailed out at the expense of bond holders. People who want to make low interest money have a few options: they can give it to the bank and get interest, or they can buy a bond and get the coupon. They know that if their money is large, both of these carry risks. The deposit and interest are only covered up the 250,000 while bonds can be defaulted on or banks can go bankrupt. However now, the calculus changes. Deposits will always be bailed out by the FDIC at the expense of bonds, meaning that they are now much safer and bonds are much riskier. This could even make it worse for some banks as they will find they cannot raise money through bonds as easy as they used to. Who will buy your bond if a high-yield savings account gives roughly the same interest rate and is guaranteed zero risk by the FDIC no matter how much money you put in?

So this is a bailout that isn’t a bailout, it gives money to the rich at the expense of the poor.

Quick Post: WTF happened with Silicon Valley Bank

So I’m really only making this post so I can link to it in another post, but while there have been plenty of explainers going around about what happened with Silicon Valley Bank (SVB) I wanted to get all the facts as I know them in one place.

Basically, Silicon Valley Bank had a bank run and needed a bailout. Why?

When you deposit your money into a bank, the bank pays you interest on the money. You are giving what is essentially a loan to the bank, and they in turn use that money to give loans to other people. The assumption is that the interest they get on their loans is more than the interest they pay you for your money, so the bank can always stay profitable.

Banks have their best relationships with the people who deposit money into them, so those tend to be the ones they reach out to and offer loans. Whatever bank you deposit your paycheck into is likely going to be the one that offers you a car or a house loan. But SVB was taking deposits from Tech startups and Silicon Valley hedge funds. Those guys don’t need or want loans. They raise money through equity, not loans. So while lots of deposits flowed into SVB, far fewer loans flowed out.

So how could SVB make money without loans? They bought bonds instead. Government bonds are just a loan you give to the government after all, and SVB thought that using their deposits to buy bonds was a surefire strategy because the government will never default. Remember that banks don’t ever just sit on loads of cash, they have to sell assets if they want “liquidity” (finance speak for cash). But if depositors want their money back, SVB can just sell bonds and give them cash, while if depositors hand them more money, SVB will use that money to buy government bonds.

But then inflation came, and brought with it interest rates. We’ve discussed before about how when interest rates rise, the price of an old bond falls. If you bought a bond paying 0.25% and interest rates have gone up to 5%, no one will buy your bond without a heavy discount. So 3 years ago a tech startup deposited $100 dollars into SVB, and SVB bought 100$ worth of bonds. Now the startup wants its money back but the 100$ bond SVB has bought has given them almost no interest (0.25%!) and has collapsed in price. When SVB sells its bond, it gets back WAY less than 100$.

So when interest rates rose, SVB’s bonds were all worth a lot less, but they were obligated to sell them to pay back their depositors. That would be fine if only a few depositors wanted their money, SVB can take a loss and make back the difference with profit elsewhere. But if ALL their depositors want their money back, SVB cannot cover.

And the depositors did want their money back. Startups backed by hedge funds get piles of money by selling stock, IPO’ing, and selling equity. Then they handed that money to SVB. Stock prices collapsed in part due to rising interest rates, the flow of cheap money stopped. Because of that, startups needed to take their money back out of SVB to keep the lights on. Money was flowing out but nothing was flowing in.

So SVB had a massive interest rates risk on both sides of its balance sheet. Interest rates decreased the amount of money going in (by tanking the stock market and making IPOs and share selling less common) while also decreasing the value of the assets SVB held (by making their government bonds worth less). Add onto that that inflation increased the amount of money flowing out (since startups needed to pay more for everything) and SVB was primed for a bank run. Depositors realized SVB didn’t have enough cash to cover everyone’s deposits, and so they all rushed to take all their money out before it collapsed.

And so collapse it did, and the government handed it a bailout. I’ll write more about that tomorrow.

Do momentum strategies beat buy-and-hold?

This post has been a LONG time coming, but a while ago I wrote about the rate of return for investing in the S&P 500. In that article, I compared the returns of someone executing a buy-and-hold strategy starting in a certain year and ending 10 years later. Unsurprisingly, the best time to start a 10-year investment was in 1990 or early 1991, as the peak of the DotCom bubble happened 10 years later and you could sell out at the top.

Figure 1: Return over 10 years of a $10,000 investment, assuming buy-and-hold strategy

But what about someone who wants a more sophisticated strategy than simple buy-and-hold? The reason people day-trade is that they hope to beat the market, not just match it. One strategy that I have seen genuine, peer-reviewed literature discussing is the so-called “momentum” strategy of buying while the market is going up and selling while it’s going down. In this way you should avoid big loses (like the DotCom bust) but still have big gains (like the DotCom bubble).

Now, a momentum strategy can be done in different ways. It can look at specific time periods, it can include shorting, it can include sector rotation, etc. But the simplest momentum strategy I found was to simply sell out whenever the market dropped by 20%, and then buy back in when it recovered 20% from the bottom. This is intended to stop loses on the way down and avoid FOMO-ing back in during a bull trap, only buying stocks during a true bull market.

I wrote a program to calculate the return on a $10,000, 10-year investment using that strategy.

Figure 2: Return over 10 years of a $10,000 investment, assuming 20% momentum strategy

The results are fairly discontinuous because of the rigidity of the 20% cutoff, but some patterns do emerge. The return is almost identical for people who invested in 1990, because for that 10-year period the market never dropped 20%. Once you get into 1991 however, this strategy would have allowed some people to avoid the worst of the DotCom crash, as they would have sold out when the market dropped hard. In that case they would have done better than a buy-and-hold strategy.

However that’s just an example of the strategy working at it’s best. I decided to compare the two strategies. I simply subtracted the two graphs from each other, creating the below figure as a result. Any dot that is on the zero line is a point in which buy-and-hold performed identically to momentum. Any dot below is where momentum performed worse, and the few dots above are where it performed better.

Here, we see some interesting patterns, the momentum strategy actually performed pretty poorly for anyone who started a 10-year investment in the 2000s. The peaks in the early 90s are people who sold out during the DotCom bust and missed the worst of the loses. The peak around 1999 is people who sold out during the Financial Crisis and missed the worst of the loses. But the declining valley during the 2000s is the result of people who would have sold out during the Financial Crisis, but then waited for the market to get above where they had sold before buying back in.

Remember that the momentum strategy involves selling when the market has lost 20% and only re-buying when it’s regained 20% off the bottom. Less than 20% off the bottom and you can argue (as some have this year) that it’s just a “bull trap” and the market still has “another leg down” ie much further to fall. This can result in standing on the sidelines with your cash while the market makes money without you. And using this momentum strategy, that’s exactly what can happen.

I use this to illustrate a point I’ve talked about before, it’s not usually smart to just sit on cash waiting for the market to fall further. Sure the market can fall further, but it can also rise and leave you behind. Time in the market beats timing the market. Furthermore, this experiment is as generous as possible to the momentum strategy: there are no transaction costs (the bid-ask spread is an unavoidable real-world cost) and we ignore dividends (which further rewards time in the market at the expense of timing the marker). If total returns were taken into account along with transaction costs, it’s debatable as to whether any 10-year momentum investment would have beaten buy-and-hold. Even as it stands now, only a very few lucky investment windows would have benefited from momentum strategies, most would do best with buy-and-hold.

Just for kicks, I reran this data with a 10% momentum strategy instead of 20%, and the results were even worse for momentum. Selling out at the first sign of trouble, FOMO’ing back in to the first recovery, and then losing all over again makes for a terrible strategy and that can basically be what momentum trading is.

I can go forward and look at more exotic momentum strategies some other time (for example short stocks that are falling and long stocks that are rising), but for now I think I’ve proven my point.

So who’s still sitting on cash?

A couple of months ago people were clambering that anyone holding stocks was a moron and it was better to be sitting on cash. Where are those people now?

This time December, the S&P 500 was hovering around 3800 and we had just emerged from the S&P’s worst performing year since the Great Recession. With the Federal Reserve continuing to tighten plenty of folks were scrambling to say that the worst was yet to come and everyone needed to get out of stocks NOW.

Since then, the market has recovered, the FTSE in particular has hit all-time-highs, and sentiment is strengthening. Is there still a case to be made that the market will drop another 20% from here? If there is, I’m not seeing it get made. If you pulled everything out of the market in December, well you missed the upswing. Cash isn’t without its downsides.

This was supposed to be a bigger post, but frankly I just don’t have much else to say. Don’t be like this guy, just because stocks can go up as well as down doesn’t mean your best bet is to sell everything and put it under a mattress. On average, the people who make the least amount of trades have the best portfolios, and that means buying once and never selling.

10x Genomics: what happened to all the DNA stocks?

2020 was the year of COVID, but it was also the year of DNA. Thousands of DNA companies and researchers got in on the pandemic since there was a sudden surge in demand for COVID testing, contact tracing, and virus studying. Now, COVID is an RNA virus, but RNA and DNA work so similarly that most organizations that do one can do both. Even the Universities got into it, I know the Genomics Research Core Facility at the university I used to work for got money from city, state, and federal governments to process COVID tests, which was way more profitable for them than sequencing my plasmids once a month.

So 10x Genomics was a DNA sequencing company that, like so many others, skyrocketed in valuation during 2020. It hit its absolute peak in early 2021 and then fell precipitously through 2022. That describes a lot of companies but it especially seems to describe DNA companies. Still, I wanted to know if 10x Genomics was a buy, and considering my LinkedIn account got spammed all last year with recruiters and ads for the company, I figured they were at least worth a look. The result? A resounding “eh.”

One of 10x Genomics’ big claims to fame is their ability to perform reads of long segments of DNA as opposed to the shorter segments read by rival Illumina. Sequencing DNA gets less accurate the longer the DNA is, so Illumina and others use a technique of chopping the DNA into pieces, sequencing each piece, and putting them all back together. This usually works fine because there are enough overlapping pieces to make the puzzle fit, if you know read 3 different pieces with letters “AATT”, “TTGG” and “GGCC” then you can hazard a guess that the full sequence reads “AATTGGCC” and that the 3 pieces simply overlapped each other. This doesn’t work with long sequences of a single letter or repeating patters. If you simply have “AAAA” “AAAA” “AAAA” then you actually don’t know how long that string of As is. Those 3 reads could overlap on 2 letter and the result could be “AAAAAAAA” or they could overlap completely and the result is simply “AAAA.” About 8% of the human genome is these sorts of repeating patterns that Illumina and others are ill-equipped to read, which gives 10x an exploitable niche.

Now this is a genuinely interesting piece of equipment and their barcoding of DNA segments to read them in the correct order is a nice bit of chemistry, but was this a company that was ever worth 21 billion dollars? In my opinion *no*. The COVID era was a bubble in a number of ways, the easy-money policies of the post Financial Crisis era led to the super-duper-easy-money policies of the COVID era. Operation Warp Speed and other pandemic-focused funding sources meant that money was flowing into the biotech sector, and with most of the world still coming out of lockdown investors were desperate to park their money in companies that were still able to operate. It seemed like the moment for Biotech had come, and companies like 10x Genomics rode the wave to the very top. But from where I’m standing this was always an obvious bubble, and people were making claims about DNA companies that were woefully unfounded.

I’ve just written a lot about 10x Genomics, but all this could apply to most any DNA/RNA startup around. They all had neat ideas, got woefully overvalued during the pandemic, and have since crashed to earth taking shareholder value along with them. My question today then is why, why does it seem like Wall Street Investors saw something in DNA/RNA companies that I, a biology researcher, never did? Now part of that is that I’m just curmudgeony by nature, but part of that is that I think a lot of investors have this Sci-Fi idea of genetics in their head that isn’t really reflected in the field. I could just point to Cathie Wood and say “she doesn’t know Jack” but I want to dig a little deeper into some of the strange narratives that surround nucleic acids.

First, “DNA as a coding language.” I wonder if computer scientists just latch onto the word “code” or something, because the genetic code is no where near to being something that we can manipulate like computer code, and probably won’t be for decades. We’ve been inserting novel DNA into organisms since the 70s, but recently there’s been a spate of investors and analysts who believe that we’re on the cusp of truly programming cells, being able to manipulate them into doing everything we want as cleanly and as easily as a computer. This would definitely unlock a whole host of industries, it’s also not going to happen for a long while yet. DNA codes for proteins, and proteins are the functional units of most biological processes. Nothing you change in the DNA matters until it shows up in the proteins, and we are far, FAR from being able to understand how to manipulate proteins as easily as we do computers. You cannot simply say “let’s add a gene to make this wheat crop use less water,” you have to find a protein from another plant that causes it to use less water, insert that gene into wheat, do tests to make sure the wheat crop tolerates the new protein, alter the protein to account for unexpected cross reactions, and then finally test your finished wheat product out to make sure it works as designed. Any one of these steps could require an entire company to do, and each step could prove impossible and bankrupt the company working on it. We can’t just make de novo proteins to do our bidding because we don’t even know yet how to predict what a protein will look like when we code for it. Folding at home and other machine learning projects have helped us get partway there, but it will still take many Nobel Prizes before we can make de novo proteins as easily as we make de novo programs. So while there is a genomics revolution going on, it’s still an expensive and time consuming one, it’s not going to solve all our problems in a single go.

Second, “DNA as a storage medium.” I’ve said before that while DNA does store and transmit information, that information cannot be well integrated with our modern technology. The readout of DNA information is in RNA and proteins, while the readout of the circuits in your computer is photons on a screen or electrons in a modem. RNA and proteins do not easily produce or absorb electrons and photons, so having DNA communicate with our current technology is not currently doable. In addition, the time lag between reading DNA and making RNA/proteins is astronomical compared to the speed of information retrieval in semiconductors. I sometimes get an annoyed by the seconds-long delay it takes to load a webpage, but I’d be tearing my hair out if I had to wait on the minutes-long delay for DNA to be transcribed into RNA! At this time I really don’t see any reason to use DNA as a storage medium and I certainly don’t see a path to profit for any company trying to use it as such.

Third, curing genetic diseases. There is definitely a market for curing genetic diseases, let me just say that first, but many of the hyped-up corporate solutions are not feasible and rely more on sci-fi than actual science. I’ve discussed how even though CRISPR can change a cell’s DNA, bringing the CRISPR and cell together is much more challenging. The human body has a lot of defenses to protect itself from exogenous DNA and proteins, and getting around those defenses is a challenge. But in addition I don’t think investors realize that DNA is not the end-all be-all of genetic diseases, and so they tack things on to the Total Addressable Market (TAM) of DNA companies that shouldn’t really be there. Then they get flummoxed when the company has no path to addressing its TAM. Valuing companies based on what they can’t do is a bad investment strategy that I see over and over again with DNA companies. As to genetic disease themselves: there’s a truism in biology that “you are what your proteins are”. Although DNA codes for those proteins, once they’re coded they act all on their own, and some of their actions cannot readily be undone. When a body is growing and developing, its proteins can act up in ways that cause permanent alterations, and after they’ve done so changing the DNA won’t change things back. There are a number of genetic-linked diseases which are not amenable to CRISPR treatment because by the time the disease is discovered the damage has been done and changing the DNA won’t undo the damage.

Finally, “move fast and break things” doesn’t work with DNA the way it does with computers. I’ve worked on both coding projects and wet-lab projects. When something goes wrong in my computer code, fixing it is a long and arduous process but I have tools available that let me know what exactly the code is doing every step of the way. I can step through the code line by line and find out exactly what went wrong, and use that knowledge to fix things. Nothing is so straightforward when working with DNA, your ability to bugfix is only as good as your ability to read the code and reading DNA is a difficult and time-consuming process. Not only that, remember how I said above that we don’t know the exact relation between the DNA we put in and the DNA product we get out? If I’m trying to make a novel protein using novel DNA and it doesn’t get made, what went wrong? I can’t step through the code on this one because there’s no way to read out the activity of every RNA polymerase, every ribosome, or every post-transcriptional enzyme in the cell. I can make hypotheses and do experiments to try to guess at what is going on, but I can’t bugfix by stepping through the code, even using Green Fluorescent Protein as a print(“here”) crutch is difficult and time consuming. Even if I try to bugfix, the time lag between making a change and seeing the results can be weeks, months, or years depending on what system I’m working in, a far cry from how long it takes to compile code! A DNA-based R&D pipeline just doesn’t have the speed necessary to scale the way a coding house does, once you’ve got a program working the cost of sharing it is basically zero and the cost of starting a new project isn’t that great. That speed isn’t’ available to DNA companies yet.

This was a lot of words not just on 10x Genomics but on DNA-based companies in general. The pandemic-era highs may never be seen again for many of these companies, much like how some companies never again saw the highs of the Dotcom bubble. I think it’s important for investors to take a level-headed approach to DNA-based companies and not get caught up in the sci-fi hype. Anyone can sell you an idea, it takes a lot more work to make a product.

A series of proposals for testing the validity of technical analysis (TA)

I’ve said before that I think TA is astrology, and I still haven’t seen any evidence to rid me of that belief. I’ve thought about genuine scientific experiments that could be done to see if it’s true and I’m wondering if people have already done them.

See if TA-knowers all move the same way by giving a bunch of them a chart and have them predict the forward movement of the stock based on that chart. Two key ways you know astrology/fortune telling is fake are 1. that it uses weasel-words and vagueness to make predictions, and 2. because the same data can cause its practitioners to make wildly different predictions. In actual science however, any two scientists should be able to take the same data and make the same prediction: if two bowling balls of different weights are dropped from the Eiffel Tower, which hits the ground first? Any physicist can tell you the answer. Now to be clear, second opinions in medicine do exist, but these occur because we often work with incomplete information and have to use priors and estimations for the rest. But TA claims that the chart is the information, so if the information is complete than the prediction should always be the same. So if 100 TA-knowers all make the same prediction using the same chart, then perhaps we can start treating this as a complete and testable theory. If they all draw different lines on it then it becomes more clear we’re dealing with astrology.

Find out if the TA of ETFs follow the TA of their underlying assets. The mechanisms of ETFs ensures that their price never deviates far from the price of their underlying assets, and if both ETFs and the securities they contain obey TA then the movement of the two should correlate. Essentially you should be able to make predictions of the movement of an ETF by performing TA on the stocks that compose it, and I’d like to know if this is true.

Correlation analysis. Most theories of the stock market claim that the movement of a stock price is uncorrelated with any of it’s previous prices. Just because a stock is down 50% doesn’t mean it’s dead or a bargain. If I’m going to believe TA I’d like a TA-believer to prove to me that price movement is correlated with previous prices.

A working, mathematical definition of “resistance” and “support.” I understand that these are TA terms, but I’ve asked 5 different TA people for a true definition of them and have gotten 5 different answers. If TA really is based on math then these terms need to be mathematically defined, not emotionally defined based on how someone wants to analyze a chart at that time.

These are just a few of the things I’d like to be demonstrated before I start believing in TA.

What was the best 10-year period to invest in the S&P 500?

I’m doing a small project right now looking at whether stop losses are actually useful in investing. When FTX blew up, it was noted that the traders there didn’t believe in stop losses, for which they were ridiculed on social media. Of course, do stop losses actually help? Or are they more likely to kick you out of a volatile-but-profitable investment than save you from an unprofitable one? Well I can’t answer that yet, but I can answer a different question.

To start my project, I downloaded 30ish years of S&P 500 data starting September 1990 and asked a quick question: what 10-year period gave the best return if you had invested in the S&P? Once I get the baseline return down, I can add in things like stop-losses and momentum strategies to see if a savvy investor could have improved their return with simple rules. Anyway, here’s the data:

I make a small program to estimate the return if you have bought $10,000 of S&P 500 stocks and simply held them for 10 years, selling them at the end of the 10th year. From this we can see that 1990 would have by far been the best years to start as you would have been able to sell at the peak of the Dotcom Bubble. Just a couple of years later however and you would have sold into the Dotcom Crash instead, drastically lowering your returns. The worst years for a 10-year buy-and-hold were 1998-2000 as you would have sold into the teeth of the Financial Crisis. These are only years where your 10-year return would have been negative. Then we can see 2008-2009 themselves as some of the best years to start investing, since you would have bought right at the bottom and ridden strong returns into 2018-2019.

I hope to update the program soon to see if momentum strategies beat buy-and-hold, but for now this gives a good picture of the historical returns for the S&P 500. The average 10-year-return was 100%, but with an 80% standard deviation. The absolute worst return would have been to start investing March 30th 1999, you would have bought into the Dotcom Bubble and sold into the Financial Crisis with a net return of -48%. The best 10-year-return was to start October 11, 1990, which would have had you buy very low and sell near the tippy top of the Dotcom Bubble for a 510% return. There are some wild swings with the buy-and-hold strategy, but the average is still very positive, we’ll see later if stop-losses can beat that.