The exit window for an observational trade is when the information you discovered becomes widely appreciated by other investors—that's the point of information parity.
Camillo explains that the exit strategy for observational investing is straightforward: exit when the information you found becomes public and widely understood, because you no longer have an information advantage. ✦ AI generated
Chris Camillo · My First Million · 2026-07-29 · original ↗
starts at this moment · 48:15
“I would never know when to exit a trade like this. I would I never know when to sell because I I don't think 20 years from now my kids are going to care about NATO or the kids are necessarily going to care about NATO. So, can you explain how you think about the the exit or the sell when it's come when it's something like this where it's like a trend or a a wave that may not be enduring?”
The exit window is when other people come to terms with this information, right? When other people start to appreciate this information that you found that you traded on, as soon as that information becomes public, like in the case of the sphere, when other retail traders, when financial press, when the company itself and analysts started coming out with reports saying, 'Hey, they're selling out the arena due to Wizard of Oz. This is going to be a gamecher. We're starting to revise our earnings estimates based on this new template that they found with the Wizard of Oz. And by the way, they can replicate this model now with other old movies and it's a highly profitable model. And we now feel that they've kind of cracked product market fit at Sphere, which is a game-changing moment.' When you start to hear about that in the press, when you see other investors talking about it on X, when the company itself talks about it, that's the point of information parody and that's when we exit the trade. So you basically initiate an observational social orb trade at the point of information imbalance when you find some information that is impactful that the world doesn't know about yet and you exit that investment as the world starts to appreciate that information. And that's not always a binary event either. Sometimes you exit it over time as more and more investors start to appreciate the information. Now you try to ignore stock price. The assumption is that if that piece of information is meaningfully positive to that company as other people start to to to to surface that information that it will positively impact the stock, but that's out of your control. The bottom line is you're trading a thesis. Your thesis revolves around one piece of information. And when that information gets widely disseminated to other investors, then you no longer have an information advantage. Therefore, you should be exiting that trade.
verbatim transcript · starts at 48:15
48:15situation? Is this >> No, this is this is this is a kind of a global cultural shift and it's it's a big observation I've had for 3 years which is based in part I don't know if you guys ever read Nasim Taleb's book black swan >> uh but black swan theory essentially says that our minds are not capable of fully recognizing and appreciating anomalies in the market or the world
48:47that haven't happened before. I had this thesis in early days AI that AI wouldn't just be the next internet. It's not just going to be the next mobile phone or smartphone, but that it would be meaningfully larger than anything we've experienced in our lifetime. And as a result of that, we would see the biggest trades of our life happen um as a direct result of AI. And even when
49:18the information was right in front of us, the market would not believe it until it actually shows up in the numbers because there's no precedent for what we're seeing in AI. There's nothing that has ever happened in our lifetime before AI that we can compare to AI. Now I might regret saying this in 10 years but I don't think so. I think the concept of intelligence becoming
49:47infinite and free to the world is going to be the biggest change we've ever seen in humanity. So the reason why Amazon went down and has not really gone up as a company meaningfully over you know recently right is because they have made such an aggressive investment in AI $200 billion now it's like 200 it's more than 200 billion this last year uh capex investment in AI in a sector that nobody
50:17knows if it's going to pay off for them or not. Does that mean like um like for example the did your guys' Siri or what's it called? Alexa did your Alexa just change where like now she like talks to you like my Alexa just changed so now it like talks like chat GBT like I can ask real questions. >> I would say the biggest example is this
50:34is it's this simple. Amazon is betting the entire company on AI. End of story. As is some of the other big tech companies, right? They are leveraging all of their profits. They're leveraging their balance sheet. They are building out massive in infrastructure unlike they ever had in the history of the company. They are making the biggest capex investment of any company in the world by a big margin in AI. And the
51:03world is still unsure about how this is going to play out. I'm not unsure. I'm willing to bet it all. They they think that the infrastructure layer of AI which is Amazon. Okay. Because Amazon understand this. They are a chip company, right? Their tranium, their chips alone, their tranium AI chips are generating like $50 billion of revenue this next year. They are the one of the largest infrastructure data center
51:30companies in the entire world. and their AWS platform and everything that they've constructed in cloud computing over the past 15 plus years sits at the center of this architecture uh infrastructure for AI. Okay. On top of that, Amazon is the third largest digital advertising company in the world. Okay. So as AI makes advertising meaningfully more efficient and targeted and effective and personal and rich for consumers. Amazon is at the center of that wave.