Why the Yankees Sucked in August

Brent Donnelly is a senior risk-taker and FX market maker. His latest book, Alpha Trader, was published last summer to great acclaim (by me, among others!) and can be found at your favorite bookseller. I think it’s an outstanding read, and not just for professional traders. He publishes an excellent daily (!) note on FX, which you can subscribe to here, and an excellent weekly note on crypto, which you can subscribe to here.

You can contact Brent at [email protected]spectramarkets.com and on Twitter at @donnelly_brent. As with all of our guest contributors, Brent’s post may not represent the views of Epsilon Theory or Second Foundation Partners, and should not be construed as advice to purchase or sell any security.

What you get when you use “why the Yankees sucked in August” and “variance” as your prompt with Stable Diffusion. This stuff is so cool!

If you listen to sports radio in NY, you will know that there is a lot of angst about the Yankees as they have dropped a 15-game lead in the American League East and now only lead by 6 games. A topic that fails to come up in the discussions of why the Yankees “suck right now” is: variance. A good team in baseball generally wins 58% to 68% of their games. With that win%, there are going to be some ups and downs. It doesn’t mean the manager is bad or the hitters suck, or the pitchers need to be more clutch. It’s just variance.

Here are 50 season-long simulations of cumulative wins for a team with the same win% as the Yankees right now (60.3%).

They win somewhere between 85 and 111 games. They have losing streaks of five games fairly often. They lose 7 out of 10. And so on. It’s mostly variance. Just like Messi doesn’t score on every shot!

Or how about this running win probability for the Steelers / Bengals game this weekend as the kickers missed a bunch of potential game-winning field goals:

The result of this high-energy game involving huge men with years of intense training crashing into each other for three hours was pretty much a coin toss. The post-game analysis praised the steely nerve of the Steelers kicker who came back to kick the game winner after missing one earlier. But it’s just variance.

Poker is the ultimate study in variance. Skill dominates the long run, but luck dominates the short run.

Variance in trading

Most of this next section is excerpted from Alpha Trader.

While the world of sports has a terrible understanding of variance (or ignores it intentionally to sell human narratives of glory and defeat) … The world of finance isn’t all that great at understanding it either. I would say I was well into in my 30s before I really started to realize how important and all-pervading variance is in trading and economics.

The laws of probability, so true in general, so fallacious in particular.

– Edward Gibbon, 1774

In statistics and probability, variance is the concept that in a series of numbers with a given average, individual data points will be spread out away from the average. So even if your average daily P&L over the last 10 years is +$23,000, you might still lose $25,000 five days in a row sometimes. This may not mean you did anything wrong. It’s just variance.

Luck is a short-term thing. In the long run, skill prevails.

Then again, as Keynes famously said… “In the long run, we are all dead.” A very solid trading strategy with significant edge generates substantial variance, even year to year. This is why it is incredibly difficult to evaluate traders, portfolio managers and hedge funds. Was it luck or was it skill? Michael Mauboussin’s book: The Luck Equation: Untangling Skill and Luck in Business is the go-to book on this topic.

To give you a sense of how variance impacts a year of performance in trading, let’s run a few simulations. For simplicity, we’ll use a static risk management approach where the trader does not change their risk appetite during the year, regardless of performance. That said, I strongly advocate increasing your risk as your P&L rises.

I include these simulations because I think very few people, even expert traders, truly appreciate just how dramatic the impact of variance can be on performance. It is probably a defense mechanism. If we truly appreciated how important variance was, we would feel like we barely control our own fate. And humans love to believe they are in control.

The first simulation approximates the performance of a retail trader. She makes money 50% of days and loses money 50% of days. Her average winning day (net P&L) is +$2,000 and her average losing day is minus $1,200. Based on these figures, she will expect to make $100,800 in an average year. Here is her cumulative YTD P&L simulated 100 times.

Variance simulation for a retail trader

The same trader using the same strategy in a world with the same probabilities might make $50,000 one year and $150,000 the next, with variance—and literally nothing else—to blame.

The second simulation represents a bank trader. He makes money 55% of days and loses money 45% of days. His average winning day (net P&L) is +$150,000 and his average losing day is minus $120,000. Based on these figures, his expected value is +$7.2 million. But here is how he fares in 100 simulations:

Variance simulation for a bank trader

You can see that despite employing a process with substantial edge and positive EV, a trader’s annual performance is all over the place simply due to variance. This is a big reason why it is so flipping difficult for management to properly assess traders and for traders to evaluate themselves. It’s easy to be fooled by randomness!

One of the most difficult and most important skills in trading is the ability to distinguish between variance and bad decision making. If you are losing money right now, is it because your process has broken down, your discipline sucks and the market has completely changed? Or is it because of the inevitable variance within the P&L distribution?

When you are on a bad streak, you need to ask yourself this. The longer you have been trading, the easier this is to answer (usually). For me, I can usually look back on a losing streak and determine with a fair amount of confidence whether it was variance. When you are starting out, it’s almost impossible to tell.

Here are some examples of how I look at a losing streak and determine whether it’s a product of variance or bad process.


  1. I was wrong a lot. Being wrong is part of trading. It’s OK to be wrong!
  2. I got unlucky. I was long and some bad news came out yesterday. Today, I got stopped out at the highs.

When I am wrong and I lose money, I barely care. That’s trading. As long as I have been sticking to my risk management system, I shrug and move on. Being wrong is where variance comes from in trading. Don’t worry about it. On the other hand, some things can’t be attributed to variance.

Not Variance

  1. I have been right, and I am reading the market pretty well, but I am losing money. This is a strong indicator that there is something wrong with my process or risk management. For much of 2020, I was in synch with the market and my percentage of accurate calls was very high. But my performance was disappointing because of multiple breakdowns in discipline and process. I was wrong-sizing my trades and bleeding on random, low conviction ideas. If you are reading the market well and losing money, that’s a red flag: something is wrong with your process and it’s not just variance.
  2. I traded with no plan. I walked in each day and started hitting buttons without a good sense of what I was trying to do. I cut out of good ideas early because I was bored.
  3. I am overtrading. I should be tight/aggressive but instead I’m making a series of small bets on random, dumb ideas and leaking money every day.
  4. I left a stale order in the system overnight and it triggered a loss. Poor attention to detail is not bad luck.
  5. My discipline is poor. I broke my risk management rules. My positions were way too big. I kept moving my stop lower instead of cutting. I doubled a losing position.
  6. The market regime has changed and I have not adapted.
  7. My boss is giving me a hard time and making me nervous.
  8. If I keep losing money, I am going to lose my job.
  9. I am tired. I am arguing with my spouse or children. I think I might get a divorce. I am drinking too much. I feel depressed. I don’t want to do this anymore.

If losses stem from any of 1 to 9 above; that’s not variance. That is bad trading, bad process or bad mindset. Cut all your risk and figure out how to get things back on track. When you trust yourself to do the right thing, you are trading well. It should not matter all that much whether you make or lose money on any given day.

When you are trading with a good mindset, you see each trade and each day as a series of independent events with a probabilistic nature and you understand that some trades and some days you will lose money. Each day, you come in and do your best without getting too high or too low. You invest most of your energy in the process and very little in the outcome. Each trade, you go through a thoughtful process and execute in a rational and systematic way.

If you trade sloppy, don’t say “I suck” or “I traded SO bad today”. Instead ask: “Why was I so sloppy today? Am I burnt out? Discouraged? Disengaged?” Robotic application of a process keeps you sane and lets you know you can trust yourself. If you break your stop loss repeatedly, you should quickly figure out why. Bad discipline? No automation of stop loss? Don’t care anymore?

If you go through the above lists (variance vs. not variance) and are still not sure whether a recent losing streak is caused by variance or bad trading, take a step back. The more experience you have, the easier it is to make this determination but if you are new, it can be very difficult, especially if you tend to be critical of yourself.

Traders with a healthy mindset who are confident in their process have a much easier time dealing with losing streaks because they can confidently identify the cause as variance and move on. Traders with a less healthy mindset or less confidence will tend to assume that a losing streak is the result of bad decisions and a lack of trading skill.

Alpha traders with a solid process and excellent risk management still hit losing streaks. In the long run, a solid process will win but in the short run, there are always going to be ups and downs due to variance. If you make money 50% of days, you can expect to lose money 6 or 7 days in a row once in a while. That is fine! When you lose money six days in a row and determine that it is simply because of variance, you need to double down on your process and believe in what you are doing more than ever. Variance can be managed, but never controlled.

Get comfortable with variance.

If you understand your edge and can confidently explain it, you will be much more comfortable with variance. Furthermore, if you continually spend time thinking about the current regime and how to adapt to present market conditions, you will reduce your variance and maintain steadier performance over time. No matter how good you are, though, you still need to understand that variance is a thing.

Variance in economic data

Variance is also an important factor when examining economic data. Remember when economists were saying the Household Survey was telling a different story than the Establishment Survey and that was a signal of imminent doom for the jobs market? At right I show the Establishment Survey result (NFP, dark blue) and the Household Survey result (light blue).

It’s just variance! Make sure you understand the variance of the economic data series you’re looking at so that when there is a miss, you have a sense of whether it’s signal, or noise.

Final thoughts

Annie Duke’s “Thinking in Bets” is one of the best books on understanding variance.

Have an aces day!

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  1. Avatar for saltme saltme says:

    Just bought your book yesterday and, boom, this note hits my feed today. Can’t wait to dig in. Great note, thanks!

  2. Avatar for bhunt bhunt says:

    You’re gonna love Brent’s book! (and the foreward is pretty good, too)

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