Who Is Marc Chaikin?
Marc Chaikin has spent 60 years on Wall Street. He has worked with Paul Tudor Jones, George Soros, and Steve Cohen, three of the most successful investors in history. He created the Chaikin Money Flow indicator, a technical analysis tool used by hundreds of banks, hedge funds, and professional traders to measure the flow of money into and out of stocks. Jim Cramer has said on CNBC that he “learned to never bet against Marc.”
In the MAGI presentation at Brownstone Research, Chaikin pairs with Jeff Brown to provide the market timing component of the thesis. As we explain in our full review of the MAGI presentation, Brown handles the technology analysis while Chaikin handles the quantitative timing. This dual-presenter format is what sets the MAGI presentation apart from most newsletter promos.
Chaikin has created three Nasdaq indices, rung the opening bell at the Nasdaq, and survived nine bear markets over his six-decade career. He began as a trader, stockbroker, analyst, and head of the options department at a major brokerage firm. That breadth of experience across multiple roles in the financial industry gives him a perspective that few newsletter presenters can match.
The Power Gauge System
Chaikin’s signature contribution to the MAGI presentation is the Power Gauge, a quantitative stock-rating system he built after leaving Wall Street. The system was inspired by his time working with legendary investors. As he explains in the presentation:
“Across the six decades I spent on Wall Street, I worked with dozens of brilliant investors like George Soros, Paul Tudor Jones, and Steve Cohen. These are the types of institutional investors that move the markets. And I learned that they each had specific factors or indicators they looked to when deciding what to buy.”
Chaikin compiled the factors that these investors prioritized, from fundamental factors like earnings growth and price-to-earnings ratios to technical factors like price trends, volume, and insider interest. He built those into the Power Gauge, which rates over 6,000 stocks and ETFs using 20 different factors.
The track record is specific. After ChatGPT launched, the Power Gauge “flashed bullish for all the top AI stocks” with peak gains of 775 percent on Broadcom, 1,324 percent on Palantir, and 1,423 percent on Western Digital. Chaikin says the system “flagged all of the top 10 performing AI stocks, no exception.” On average, the Power Gauge has flashed bullish on at least eight of the top 10 stocks of the year, every single year, going back to 2016.
For more on how the Power Gauge works, see our article on the Chaikin Power Gauge Report and our deep dive on money flow analysis.
The Election Cycle Pattern
Chaikin’s other major contribution to the MAGI presentation is what he calls the election cycle. This is a market pattern he says has never failed since 1950. The pattern works like this:
Midterm election years bring political uncertainty about which party will control Congress, and that uncertainty tends to trigger market corrections. But historically, buying during that correction has produced gains 12 months later in 100 percent of cases going back to 1950. The average gain for the entire market has been nearly 40 percent.
Chaikin is emphatic about the data: “All you see is green. This is like a little-known law of investment that’s written in stone. Had you followed this pattern, you’d have made money in the stock market every single time, with no exception.”
The last time this pattern aligned with a technology revolution was 1998, a midterm election year during the dot-com acceleration. During that window, specific stocks produced extraordinary returns. Magic Software Enterprises turned $10,000 into $185,000 in 12 months. InterDigital turned $10,000 into about $240,000 in 15 months. Qualcomm turned $10,000 into $366,000 in 14 months. Harmonic turned $10,000 into $360,000 in 18 months.
In the most recent midterm cycle in 2022, Chaikin’s system flagged Meta, Builders First Source, and AMD. All three more than doubled within 12 months. For more on this pattern, see our article on technological shifts and market cycles.
The Money Flow Concept
At the core of the Power Gauge is the concept of money flow, which is also what Chaikin’s famous Money Flow indicator tracks. The idea is simple but powerful: institutional investors, the funds and billionaires who move markets, leave footprints when they buy and sell stocks. If you can identify where institutional money is flowing, you can identify which stocks are likely to rise.
Chaikin explains in the presentation: “I designed this system to track money flow from institutional investors, because nothing makes a stock go up or down faster than the action of those investors. So the fact that my system is lighting up like a Christmas tree tells me the big players on Wall Street are already preparing for what’s coming.”
This concept connects directly to the MAGI thesis. Brown cites specific institutional investors who are already positioning in AI and robotics: Jeff Bezos with $400 million, George Soros with $69 million, Bill Ackman with $4.1 billion, Citadel with $7.3 billion, and Marc Andreessen with $500 million. Brown also says tech insider buying has hit “the highest level we’ve seen in 15 years.”
When Chaikin’s Power Gauge shows a bullish rating on a stock, it means his system is detecting institutional money flowing into that stock. In the MAGI presentation, the Power Gauge shows bullish ratings on AMD, the hidden Tesla supplier, and the Terafab equipment supplier. That convergence of Brown’s fundamental technology analysis and Chaikin’s quantitative institutional money flow signals is the core of the joint buy alert.
Why Two Presenters Matter
Most newsletter presentations feature one presenter. The MAGI presentation features two, and their expertise is complementary rather than redundant. Brown has spent his career inside technology companies. He understands what the chips do, why the robotic hand patent matters, and whether a supplier’s technology is genuinely critical. Chaikin has spent his career on Wall Street. He understands when institutional money is flowing, what market patterns indicate, and when the timing is right.
As Brown puts it in the presentation, the convergence of a revolutionary technology like Manifested AGI with the election cycle pattern is very rare. “This is happening right now, and we’ll likely never see an explosive opportunity like this again, not in our lifetimes.” That is a strong claim, and the election cycle “100 percent track record since 1950” should be understood as a historical pattern, not a guarantee. Past performance does not guarantee future results. But having two presenters with complementary expertise analyzing the same opportunity from different angles is genuinely more useful than a single-presenter pitch.
Ready to learn more about the MAGI presentation? Click here to access Jeff Brown and Marc Chaikin’s full research.
This is not financial advice. Always do your own research before investing.