Intelligent investing
With a technological advantage

Our strategy finds and invests in wonderful growing companies selling for less than they are worth.

% of these investments have been sold with a profit.

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How we pick winning stocks

Meet Joe. Joe is an artificial intelligence with a diverse personality. He simultaneously thinks like 25 of the best super investors, such as Benjamin Graham, Philip Fisher, Warren Buffett, Jesse Livermore, to name a few.
Joe can help you earn a better return on your capital. He is happy when he can invest in a wonderful business with good growth prospects, a great business model, purchased at a price well below its intrinsic value.
Price is what you pay, value is what you get. Joe's task is to make sure you get your moneys worth of good businesses at a sharp price.
He is adept at avoiding mistakes, careful about evaluating finances, business models and management teams as well as 200 other factors influencing a positive outcome.
While you sleep, Joe tirelessly evaluates thousands of business opportunities selecting the very best, giving you more time to focus on what you love to do.


Log scale chart showing how $25,000 would have multiplied since 1970

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*Historical numbers are based on backtested data. Since our 2009 launch we have observed similar results in real-time.

High returns, low risk

A hallmark of successful investing is achieving higher returns without equally higher risk.

Benjamin Graham pioneered the concept of a margin of safety, around which our technology is developed.

While risk can never be eliminated, we look for wonderful companies trading for considerably less than they are worth, thus minimizing the risks inherent in stock investing.

More upside. Less downside.
Low risk investments

Latest sell signals

Here's our 10 latest sell signals (updated monthly)

TradeFirst purchaseDurationAvg. buy priceSold atReturn

Follow our results over time!

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The AI Score

There are multiple ways to invest intelligently. You have previously met Joe, who specializes in selecting individual winning stocks.

Another approach is quantitative investing, where you invest in a "basket" of stocks, say 40 stocks, which sports certain winning traits. These traits are derived from more than 200 quantitative and qualitative factors, computed for each stock. Called the AI-score, a number between -100 and 100, indicating attractiveness.

Consider a stock with -100 as something to avoid, and a stock with an AI-score of 100 as something to absolutely invest in. Since all supported stocks receive a score you can construct your own preferred portfolio or use it as a supporting investment tool. For each stock you also get access to a report, detailing risk vs. reward, value, growth, profitability, soundness and much more.

If invested in 40 stocks with an AI-score > 80 a typical historical avg. return would have been 27% pro anno*. See study for further details.

*Past performance does not guarantee future performance

Using artificial intelligence to beat the stock market