AI made building investment strategies easy. Telling a good one from a lucky one still takes expertise. Portfolio Lab is the responsible AI investing platform: every strategy is tested on unseen data and in live markets. Connect your agent to deploy only vetted strategies in your own brokerage account. SEC-registered.

Hey Product Hunt! I'm Rich Sun, founder of Portfolio Lab.

AI made building investment strategies easy, but telling a good one from a lucky one still takes expertise. That's the part most products glaze over.

🧐 The problem

Ask any AI for a strategy and you'll get one in seconds, with a beautiful backtest attached. So we ran an experiment: we had Claude build 1,292 strategies. I'm a hedge fund professional, and it still took me days of auditing the code line by line to find all the subtle errors quietly inflating the results. After correcting them, nearly all of the strategies lost their edge. They looked brilliant. They were just lucky, and the AI's flawed logic was hiding it. That's the thing about LLMs: they're built to reason in language, not to crunch numbers, and definitely not the noisy time-series data of the stock market.

And the traps sit exactly where LLMs are weakest: in the numbers. If it took a professional days to catch them, imagine the average retail investor. Prompting an agent and trusting the output isn't a strategy, it's a coin flip.

💡 What we built

Portfolio Lab is not another LLM wrapper. Under the hood are proprietary quantitative models, purpose-built for markets and trained on decades of data, doing the work LLMs can't. But the models are only half of it. AI investing, done responsibly, means one rule with no exceptions: no strategy touches money until it survives testing on data it has never seen and in live markets. You set the goal. Our models build. The testing decides.

⚙️ How it works

Build: set your goal, and our quantitative models construct systematic strategies
Validate: every strategy is tested on unseen data, then runs live in paper before a real dollar moves
Deploy: connect Claude, ChatGPT, or any MCP agent to trade it in your own account, or run it in a managed account at our SEC-registered investment advisor

🎯 What makes us different

Anyone can use AI to build a strategy now. We make every strategy prove itself: unseen data, multiple market regimes, live paper. Most don't survive, and that's the point
No hiding: every vetted strategy shows its full record, including where it struggles
Portfolios, not picks: combine strategies that cover each other's weaknesses, so where one fails, another carries
Deploy through your agent and we never hold your money or place a single order. Your agent, your broker, your account

🎁 Launch offer

Product Hunt users get 40% off your first year on annual plans, launch day through August 13 (automatically applied, no code needed). Want to explore first? Our free plan is yours forever, no card required.

Thanks for checking us out, I'll be here all day to answer your questions 🙌

@rich_sun Testing strategies on paper trading is one thing, but how do your quantitative models factor in real-world execution risks like slippage, liquidity drops, or latency when executing through third-party agents/brokers?

Congrats on the launch, @rich_sun 🚀 The point about LLM backtests looking great until you look under the hood is so real—overfitting on market data happens way too easily. Forcing strategies through unseen out-of-sample data and live paper trading before touching real money is such a smart, responsible approach. The setup looks really solid!

Good luck with the launch today!

How long does a strategy usually need to perform well in paper trading before Portfolio Lab considers it ready for real money?