"I don’t believe in edge. I think it’s a fairy tale. The world is too competitive. Going back to AI, investing is where chess was in 1996... "~@GavinSBaker
This is a killer interview with Gavin on how to think about edge in investing. Some thoughts👇 /1
2/ At MO, we often write about how anything that can be quantified will be arbitraged by machines. A world of alt data, satellites giving coverage of consumer traffic, drones beaming infrared signal at oil-storage to gauge inventory, etc = The mrkt becoming hyper-efficient.
3/ This is why discretionary investors need to extend their analysis timeframe. Gavin says that "all alpha comes from insights. An insight is a kind of a differentiated long-term viewpoint about a stock. It's a differentiated view about the long-term state of the world."
4/ This isn't a new idea, it's just perhaps more true today than before. "Market Wizard" Michael Steinhardt was playing this game over 40yrs ago and wrote about the importance of forming a long-term variant perception in his book "No Bull".
5/ Here's what this looks like:
- Market is extremely efficient in near-term (0-12m)
- Further out, it tends to just extrapolate into the future
- Betting on trend growth continuation and reversion around that trend is statistically a good bet, but...
6/ Occasionally we see wildly divergent non-consensus outcomes = opportunity, a mispricing of the future. These instances occur due to a number of reasons, a few of them being...
7/ 1. Market is slow to recognize competitive advantages + it tends to underappreciate their impact on future value creation 2. Market tends to underweight the impact of secular macro shifts and overweight cyclical ones 3. Market is inefficient at pricing anything exponential
8/Extended timeframe + differentiated opinion. Joel Greenblatt says this about it:
9/ @modestproposal1 talked about this in his recent interview w/ @patrick_oshag where he refers to it as "Two Different Theories for Investing: Underwriting the past versus underwriting the future."
10/ Where Underwriting the future is "more qualitatively focused and requires an investor to be comfortable with uncertainty as they build a view on the future of a company through strategic analysis. The best performing investors over the past 20 years belong to this group."
11/ Again, Greenblatt "Explain the big picture. Your predecessors (MBAs) failed over a long period of time. It has nothing to do about their ability to do a spreadsheet. It has more to do with the big picture. I focus on the big picture. Think of the logic, not just the formula"
12/ Extend timeframe. Understand consensus. Positive EV bets come from mrkt's failure to price competitive adv, secular macro shifts, exponential growth. You find these by looking out past the near-term, peering past the veil of the future, and forming differentiated insights...
13/ The robots own the near-term. Stop playing chess with Deep Blue. Use your creative faculties and work to underwrite the future.
THREAD: The market is like a magician. It pulls your attention to one hand while stealing your watch with the other. The biggest trends kick-off when no one’s looking. The most contested areas of the market — the stocks everyone is talking about — do nothing.
2/ The fact that our hive mind is instantly embedded into the market price inherently means that most large moves will surprise most participants. After all, if everyone was already expecting it, it would have already happened.
3/ To catch the magician in the act we need to contrast what everyone is focusing on with what's *actually* happening in the tape. We can do this by looking at the Hierarchy of Technicals macro-ops.com/the-hierarchy-… which allows us to build a coherent picture from mltple data points
Most traders make decisions w/out *effective* context. This leads to reactive emotion-driven actions which result in buying tops & selling bottoms.
Here’s what we can learn from a former Delta Force Commander on how to make better decisions & not get bucked by trends.Thread..1/
2/ In the final days of “Stress Phase” (the last test to gain entrance into Delta Force) Peter Blaber was 15hrs into a maneuver. He was tired, delirious, and lost in the mountains of VA when he was “forced” to run at full speed and jump off a cliff…
3/ Blaber, in his discombobulated state, thought he was being chased by an angry Black Bear. It was only after tumbling hundreds of feet (losing his map & flashlight) that he looked back up to the cliff’s edge, and realized it was just a pig.
1/ Lars Tvede writes in his book "Business Cycles: History, Theory, and Investment Reality" about a phenomenon he calls "The Principle of Bubble Rotation", which he explains as:
2/ Essentially, he's saying that "what outperformed in the last cycle will not outperform in the next" and gives three reasons for this "cycle-skip"...
3/ One is Psychological: Investors who've been burned buying into a bubble are unlikely to be eager buyers of those same assets in the next.
Skimming through some old notes from Mallaby's "More Money Than God" & love this bit view on investor psychology from Michael Marcus and the CC crew:
"People form opinions at their own pace and in their own way; the notion that new information could be instantly processed... /1
"was one of those ivory-tower assumptions that had little to do with reality. This gradual absorption of information by investors explained why markets moved in trends, as new developments were gradually digested. But market psychology was more subtle than that; /2
"there were times when investors' reactions accelerated. Human beings do not simply make forward-looking judgments about markets, the CC traders recognized; they react to recent experiences" -- That last bit is very key
1/ Druckenmiller's first mentor, Speros Drelles, would often tell him that "60 million Frenchman can't be wrong."
Here's a thread on what that means and how to know when you should listen to or ignore the "Frenchman" (market)...
2/ Drelles was teaching the young Druck about the wisdom of the market, which is based on the idea that the crowd is collectively smarter than any one individual. This collective intelligence was first stumbled upon by the late great statistician, Francis Galton, who...
3/ ...in 1906 observed a competition at a local fair where approx. 800 people tried to guess the weight of an ox. To his surprise, the avg of all the guesses was 1,197lbs. The real weight... 1,198lbs. Countless studies have been done since. All show similar results...
1/I don't spend much time trying to "predict" an event as complex as a recession 12m out because that's a fool's errand. Rather, I trade the market in front of me and keep an eye on a number of signals & change my trend bias when the data says to. Here's what I look at
2/ The Conference Board LEI which has a median lead time of 10-months is at cycle highs currently and positive on a YoY% basis.