Stan is our multi‑factor model, built using the latest AI algorithms. Stan combines fundamentals, quantitative factors, and behavioral anomalies in search of interesting opportunities.
STAN combines fundamentals, quantitative signals, and behavioral market information to decide what to own, how much to own, and when to cut risk.
There is already so much great fundamental market commentary, especially in TMT. We do not think adding to that pile is particularly helpful. What we find much less of is a real portfolio process, driven not by discretion, but by a disciplined model with a building track record. We think that could be a valuable addition, especially over time.
LIVE PERFORMANCE
Early Results
Latest update: April 04, 2026
All Sector Portfolio
S&P 500
ALL
SPY
MTDApr 2026
+0.0%
+0.0%
YTD2026
+0.0%
+0.0%
Since LaunchSince Dec 04, 2025
+0.0%
+0.0%
TMT Portfolio
Nasdaq 100
TECH
QQQ
MTDApr 2026
+0.0%
+0.0%
YTD2026
+0.0%
+0.0%
Since LaunchSince Dec 9, 2024
+0.0%
+0.0%
These numbers are really early, but looking underneath the hood on returns, we're encouraged by the strong risk management and exit discipline we see in STAN, which has led to shallow drawdowns in ALL. We run TECH a bit more risky, but we think the reward has so far been more than worth it. Again, early.
Updated daily after market close
INVESTMENT PHILOSOPHY
How We Think
Our investment principles as fundamental investors have seeped into STAN, and made it better we hope. Here they are:
1. Know what you own. We prefer a book we can actually explain.
2. Concentrate, but not blindly. A few names matter a lot. Concentration without discipline is just ego.
3. Risk management comes first. We would rather take small losses than spend months recovering from large ones.
4. Listen to price, but do not worship it. Strength matters. So does knowing when that strength is crowded or exhausted.
5. Stay flexible. Markets change fast. Positions that were right yesterday can become wrong very quickly.
COMMON QUESTIONS
Is This Just Momentum?
The reason this question even exists on this page is because as you get to know STAN, you'll quickly realize STAN prefers stocks that are already working. Much like its namesake, STAN does not buy broken charts. This should naturally lead to the question: is it just momentum?
But not all momentum is the same. Some trends are early, some are crowded, some are fragile, and some still have room. The rest of the process exists to separate those cases and cut risk when the move stops paying us.
While it is still very early, the first read is at least somewhat encouraging. Since our launch in early December 2025 through April 2, 2026, MTUM is -2.29% and VFMO is +2.88%. Over that same stretch, ALL is +18.04% and TECH is +24.96%. Far too early to make any grand claims, but it does give us some comfort that this is not just pure beta to the momentum trade.
TRANSPARENCY
Why Make It Public?
This is one of those questions we've thought a lot about, but in the end, the answer is really quite simple. Of course, publishing any of this could erode any edge we have, but it's also the case that it will make us better, sharper, more accountable and hopefully improve the model and our thinking. We manage our own capital, with no fiduciary duty to anyone.
TRANSPARENCY
What You Will See Here
We will publish a daily note with transparent performance, including every big winner and loser. We will record what our model chose and what it missed. We'd love for you to follow along, hopefully benefit from the insights and we would love some critical feedback. Our goal is to share and learn in equal measure.
Performance History
Below is the rolling performance record of both STAN portfolios versus their benchmarks. Updated daily after market close.
CUMULATIVE PERFORMANCE
April 04, 2026
All Sector Portfolio: +18.6% (▲ +26.3% vs S&P 500)
TMT Portfolio: +24.7% (▲ +33.7% vs Nasdaq 100)
April 03, 2026
All Sector Portfolio: +18.3% (▲ +25.9% vs S&P 500)
TMT Portfolio: +24.9% (▲ +33.9% vs Nasdaq 100)
April 02, 2026
All Sector Portfolio: +18.0% (▲ +25.7% vs S&P 500)
TMT Portfolio: +25.0% (▲ +34.0% vs Nasdaq 100)
Join a small, ambitious team building the future of AI-driven investing.
Full-Time — Entry Level
Analyst
Full-time role across research, analytics, product, and growth. Broad exposure, real responsibility from day one.
Compensation
$120K – $140K
Internship — Summer 2026
Summer Internship
6-week program across product, research, and growth. For smart, ambitious students who can hit the ground running.
Compensation
$6,000
Summer Internship
Join a small, ambitious team building the future of AI-driven investing.
STAN is a new investment platform built by Humans and AI. STAN has already produced excellent investment results and we are building the team to make it even better.
We are hiring a small number of summer interns to work across product development, research, and growth. This is a 6-week internship for smart, ambitious, coachable students who can operate in a fast-paced environment and contribute from day one.
We are looking for people who are comfortable using AI tools and excited to work across disciplines including marketing, finance, mathematical modeling, data science, research, and product thinking. The right candidates will be analytically strong, curious, execution-oriented, and eager to learn quickly.
What You'll Work On
Building and improving internal tools, workflows, and AI-assisted systems
Supporting marketing initiatives, growth experiments, and content development
Conducting financial, market, and company research
Working on data analysis, modeling, and decision-support projects
Helping translate ideas into practical outputs quickly and accurately
Contributing across functions as business needs evolve over the course of the internship
Who We're Looking For
Current student at a strong college or university
International students currently studying at U.S. colleges and universities are encouraged to apply
Smart, driven, ambitious, and intellectually curious
Coachable and able to absorb feedback quickly
Comfortable working hard and moving fast
Able to hit the ground running with minimal hand-holding
Strong communicator with good judgment
Comfortable using modern AI tools as part of day-to-day work
Interested in a mix of marketing, finance, data science, mathematical modeling, product, research, and operations
Excited by high standards, fast iteration, and broad responsibility
We are intentionally keeping the internship broad by design. We want interns to experience multiple aspects of the business before they find the area where they fit best. This is not a narrow, siloed role. Interns will have the chance to contribute across functions and develop a fuller understanding of how STAN operates.
$6,000
Total compensation — 6-week internship
How To Apply
We encourage candidates to follow STAN on Twitter and Substack before applying. Our public writing and market work are the clearest window into how we think. Reviewing them will help you understand the business, the standard of thinking we value, and whether this is the right fit for you.
Please submit your application through the website and include your resume along with a short note on why you are interested in STAN, what you are good at, and how you think you could contribute.
Applications reviewed on a rolling basis
Entry-Level Analyst
Join a small, ambitious team building the future of AI-driven investing.
STAN is a new investment platform built by Humans and AI. STAN has already produced excellent investment results and we are building the team to make it even better.
We are hiring an entry-level analyst to work across research, analytics, product support, and growth. This is a role for someone smart, ambitious, coachable, and eager to take on real responsibility early. The environment is fast-paced, intellectually rigorous, and highly collaborative, with broad exposure across the business from the start.
We are looking for someone who is comfortable using AI tools and excited to contribute across disciplines including finance, data science, mathematical modeling, research, operations, and marketing. This is not a narrow back-office role. The right candidate will be analytically strong, curious, highly responsive, and able to turn ideas into useful work quickly.
What You'll Work On
Conducting market, company, and thematic research
Supporting investment analysis and internal decision-making
Working on data analysis, modeling, and performance tracking
Helping build and improve internal tools, workflows, and AI-assisted systems
Assisting with product, growth, and operational projects as needed
Translating open-ended questions into structured analysis and actionable output
Who We're Looking For
Recent graduate or early-career candidate with a strong academic background from a good college or university
Smart, driven, ambitious, and intellectually curious
Coachable and able to absorb feedback quickly
Comfortable working hard and moving fast
Strong communicator with sound judgment
Comfortable using modern AI tools as part of day-to-day work
Interested in a mix of finance, research, data science, mathematical modeling, product, and operations
Excited by high standards, fast iteration, and broad responsibility
International students and recent international graduates from U.S. colleges and universities are encouraged to apply
We are intentionally keeping the role broad by design. We want the right person to gain exposure to multiple parts of the business before settling into a sharper long-term fit. You will have the chance to contribute across functions and develop a fuller understanding of how STAN operates.
$120K – $140K
Annual base compensation — plus full medical benefits and incentive compensation
How To Apply
We encourage candidates to follow STAN on Twitter and Substack before applying. Our public writing and market work are the clearest window into how we think. Reviewing them will help you understand the business, the standard of thinking we value, and whether this is the right fit for you.
Please submit your application through the website and include your resume along with a short note on why you are interested in STAN, what you are good at, and how you think you could contribute.
Applications reviewed on a rolling basis
STAN Daily Report
An honest account of our wins and losses as we navigate the markets.
For us, it will be equal parts cathartic and cringe.