What podcasts say about Chris Camillo
Every statement, with the speaker, the exact quote and the moment it was said.
What Chris Camillo has said on podcasts
34 statements · 20 positive · 11 negative · 1 mixed · 2 neutral
Larger and faster changes create larger investment opportunities.
“the larger the change, the bigger the opportunity. The faster that change is coming at us, the bigger the opportunity.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 2:50
The AI era represents an unusually large and rapid societal change.
“there's never been a bigger change that's hitting us as quickly as this age of AI.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 2:58
Embodied AI and humanoid robotics will become humanity’s biggest development.
“we're years away, but... that will be the biggest thing that humanity ever sees like embodied ai robotics humanoids all the stuff”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 4:48
Robots will not perform all anticipated tasks within the next three years.
“we're not going to have robots doing all the stuff next year or the year after or the year after”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 5:01
Deploying generalized robotics is exceptionally difficult.
“Deployment is an exceptionally difficult thing to achieve when it comes to generalized robotics.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 5:12
Generalized robotics deployment will eventually occur slowly.
“when it happens, and it will happen slowly”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 5:21
Generalized robotics deployment will exceed any development seen during the speaker’s lifetime.
“when it happens, it will be bigger than anything we've ever seen in our lifetime.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 5:37
Camillo recommends daily thesis reevaluation against the strongest counterargument.
“I'm always looking for the best case against my thesis and I'm reevaluating that on a daily basis.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 6:40
AI queries corrupted the Google Trends dataset.
“the entire Google Trend dataset had been corrupted by AI queries.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 7:55
Google Trends data became unreliable because the dataset was corrupted.
“the entire data set got corrupted.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 9:16
Lululemon’s stock fell sharply after that quarter’s earnings.
“Lulu completely... got destroyed on earnings that quarter last summer.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 9:29
Great investors should follow changing information rather than preserve invalid theses.
“one of the most important attributes of a great investor is to follow the information as it's shifting.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 10:29
Conversational data provides investors with the earliest available signal of behavioral change.
“conversational data will always be the earliest data point an investor will ever have access to.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 11:41
Developer conversations about cloud adoption led Camillo to invest in Amazon.
“That's how I invested in AWS, I don't know, 13 years ago, in Amazon.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 12:38
Camillo made $10 million trading Amazon earnings options in one day.
“I made 10 million in one day trading Amazon options on earnings.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 13:40
Camillo predicted AWS revenue would exceed expectations.
“I knew AWS was going to beat based on my analysis.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 16:59
Camillo expected Amazon management to directly address capex concerns on its earnings call.
“my confidence that Amazon management was going to address the capex issue head on on the earnings call”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 17:18
Camillo estimated an 80% probability that the Amazon options trade would work.
“there was still only an 80% shot of that trade working.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 20:00
Camillo lost 100% on options expiring the following week.
“took 100% loss, a seven-figure loss that day.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 21:03
Exceptional trade conviction occurs between one and five times annually.
“there are very few times when you have that type of conviction in a in a company in in a specific trade it happens one to five times a year”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 22:07
Camillo says his primary account generated 50–80% annualized returns for 18 consecutive years.
“I'm trying to generate 50 to 80% annualized returns, which I have done now for 18 years in that account every year, year in and year out.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 23:26
Camillo’s primary account is generally leveraged 30–70%, sometimes reaching 100%.
“my account is generally levered 30 to 70%. There are times when I'm 100% levered.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 23:46
Retail investors underestimate the return potential of concentration and leverage.
“I think retail investors really underappreciate the power of concentration and leverage.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 24:58
Investors should consider a separate account for responsible leverage and concentration.
“everyone should have an account. where they are willing to take responsible amounts of leverage and concentration to generate outside returns”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 25:14
Triple-leveraged broad-market ETFs historically returned about 1.8 times the market, with massive drawdowns.
“Basically, the returns are 1.8x the market, okay? With some massive drawdowns in between.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 28:04
Triple-leveraged broad-market investing carries a theoretical risk of total loss.
“there is a theoretical risk in an anomaly situation that we've never seen. We haven't seen in 80 years. We've never seen it ever. There is an anomaly situation where you lose it all.”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 28:25
Camillo estimates the total-loss anomaly probability at roughly 0.1%.
“if I told you that that anomaly was like one-tenth of 1%, which is probably what it is”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 28:40
AI creates meaningful societal risk even without physical embodiment.
“there actually is meaningful risk even without the embodied ai”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 30:59
Autonomous warfare involving drones will become highly disruptive within ten years.
“in 10 years?”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 32:33
Bad actors leveraging advanced AI could become more dangerous.
“i am exceptionally concerned about bad actors leveraging infinite intelligence to be bigger badder bad actors”
Open the episode · How to Spot the Next Big Trade Before Wall Street | Chris CamilloListen at 33:12
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.