James Altucher launched Deep Blue 2.0 on July 10 — an AI-powered stock screener built on the same foundation as the Deep Blue chess computer he helped develop at Carnegie Mellon in the 1990s.
The software runs stocks through an Intel Score, a proprietary algorithm that scores each ticker on its potential for big near-term moves. The score looks at what Altucher calls “Big Money attributes” — trading patterns, sector momentum, and historical analogs — and returns a single number.
According to Altucher, backtests of the Intel Score show a score in the 90s signals the kind of setup that preceded 179% gains on Twitter in 2022, 307% on Nvidia in 2023, or 445% on a stock Altucher says the system caught before an FDA approval. Those are backtested results from the algorithm running on historical data, not hypothetical projections. Past performance does not guarantee future results.
What the Intel Score actually does
The Intel Score is a ranking system, not a prediction engine. It takes a stock’s current price action, compares it against the same sector’s historical patterns, and assigns a score based on how closely the current setup matches past breakouts. A high score says the pattern is there; the system does not confirm whether the pattern will complete.
Altucher was explicit about this distinction during the July 10 event. The Intel Score identifies setups, and the user decides whether to act on them.
The practical application is screening. Instead of scanning 5,000 tickers manually, the software narrows the list to a handful of names with the most unusual patterns. The user gets a short list of stocks where past data says something is happening.
The Deep Blue lineage matters
Altucher’s AI credentials run deep. He wrote a published paper on AI as an undergrad at Cornell in 1990. He studied at Carnegie Mellon — the university where AI was invented in the 1950s — and shared an office with Feng-hsiung Hsu, the creator of Deep Blue. He played chess against the prototype all day, and IBM later offered him a job on the Deep Blue team. He turned it down for personal reasons, but his algorithm made it into the final machine.
That is the foundation for Deep Blue 2.0. The name carries the same research lineage.
After graduate school, Altucher wrote AI software to pattern-recognize the stock market for his hedge fund, Formula Capital. He turned that into his first book, Trade Like a Hedge Fund. He has been running AI against markets for over twenty years.
Three picks teased, not revealed
The July 10 event teased three stock opportunities the Intel Score identified. Those picks were revealed inside the live event and stay behind the event wall. The landing pages still show the Intel Score demo widget — users can type in any ticker and get its score in milliseconds.
The picks themselves are secondary to understanding the tool. The Intel Score gives you a data point you lacked before, and what you do with it is your call.
Where Deep Blue 2.0 fits Altucher’s arc
Altucher has been an AI researcher, a hedge fund manager, a venture capitalist, a best-selling author, and a podcast host. The thread connecting all of them is pattern recognition — seeing what others miss because they are looking at the wrong data.
Deep Blue 2.0 packages that skill as software. It feeds judgment, does not replace it.
The Intel Score is available now through the lite demo on the landing page. Users can search any ticker and see its score. The full product — with alerts and the complete screening engine — is behind the subscription.
For Altucher’s broader investment thesis, see Altucher’s Investment Network Review. For the full index, see Promo Watch.