Massively Outperform the Market by Following the Big Money Every Day – Not Just Quarterly
"Happy New Quarter" doesn't stir the emotions as much as "Happy New Year," does it?
But as a data-driven investor, I still get pumped when a new quarter starts. You should, too.
Most investors think about the flurry of earnings reports that will start to come out in a couple of weeks. And rightly so. They are critical to evaluating the strength of the company – and they are critical to my system's fundamental rating and analysis of 6,000 stocks.
We also find out more about where Big Money is going – the money that really moves stocks.
Mutual funds and other investment vehicles typically have up to 60 days to file their holdings with the Securities and Exchange Commission (SEC). That's when you see all the headlines telling you what Warren Buffett bought and sold in his Berkshire Hathaway portfolio.
Wouldn't it be a huge advantage to have access to this information more than quarterly? Like daily?
One of the biggest benefits of my quantitative analysis system is its ability to track Big Money flows in virtually real time. I may not know who specifically is buying what, but after every single trading day I can see which stocks were bought by the big boys that manage billions of dollars.
Every morning, my Master Algorithm performs a comprehensive analysis of the roughly 6,000 publicly traded stocks on Nasdaq and the New York Stock Exchange. It brings in 120 independent data pulls on each and every stock, then applies 80 equations on them to analyze multiple factors – price, volume, earnings, etc.
Every company is scored on 29 primary ratings, including 17 technicals, which tell us how the stock is trading in the market, and 12 fundamentals, measuring how healthy the company is.
All told, that's nearly a million data points per day – and what a rich story it tells.
Each stock is assigned a summary report like this one for Microsoft (MSFT), one of the, if not the most, popular stock among individual investors.
Source: TradeSmith Finance and MAPsignals.com
That Quantum Score gets me most of the way there in determining whether a stock is likely to move higher or not:
Under 70 is typically not a buy, as the stock doesn't have enough strength or momentum to get very far.
Between 70 and 85 is right where I like to see it – and a big potential payday opportunity.
Over 85 gets trickier because the stock could be overheated and face a pullback.
The Master Algorithm then sorts stocks from strongest to weakest, giving me a cumulative "report card" of thousands of stocks. The higher up on our report card, the more likely they are to buy.
One of the keys in all this is Big Money buying activity... finding out which stocks are being bought by billion-dollar investors, hedge funds, pension funds, and other institutions.
This gives us our best chance of hopping onto a stock surging on big institutional money flows. And having access to this information every day gives us a huge advantage of having to wait for SEC filings that may only come out four times a year.
Here's a good example of what I mean.
During the 2020 crash, the Master Algorithm crunched all 29 data factors and overlaid them with Big Money buying behavior, and we got a Quantum Score of 70.69 for a company I never heard of: Enphase Energy (ENPH).
The key numbers were solid, and Big Money was jumping in. ENPH shot up 473% over the following months.
Artificial General Intelligence is coming. It's a trillion-dollar race.
Based on leaked internal documents, a secret OpenAI project called Q-Star has had a major breakthrough.
That means human-like intelligence that could be worth trillions of dollars to the winner.
And Luke Lango is showing you which companies could benefit here.
Spotting the Winners Amid the Noise
I started tracking Big Money after spending years running trading desks and watching those trades – millions and even billions of dollars – passing through my hands.
According to a study by Harvard University, trading by institutions and their member firms account for 80% of the trading volume on the New York Stock Exchange. That works out to roughly $15 billion traded every day by the big institutional firms.
I learned the tricks of the trade to keep those massive money flows as quiet as possible, so Big Money won't tip its hands. Knowing those tricks, I designed algorithms that act like x-rays – seeing below the surface to detect Big Money at work.
This data has always been critical to picking winning stocks, but in today's age of distrust, tracking the moves of big investors has never been more important.
As the old saying goes, "Actions speak louder than words."
I didn't anticipate this when I developed it, but the Master Algorithm couldn't be available at a more opportune time. By tracking the money flows Big Money tries to hide, we analyze the actions the major players are taking, which are ultimately much more influential than the words being spoken.
By all means, focus on upcoming earnings reports to analyze the strength of any business you may be interested in owning a part of.
Check the stock's technicals to get a sense for how it trades.
And remember the Big Money factor. Collecting big paydays is possible if, like my Master Algorithm, you know how to decipher when and where big money is getting positioned.
Talk soon,
Jason Bodner Editor, Jason Bodner's Power Trends
P.S. It doesn't matter who the big buyer is... or how hard they try to hide it...
The Master Algorithm detects this activity, often before Wall Street has a chance to catch on.
My powerful system combines data-powered analytics with high speed computers and overlays all that with Big Money buying activity and a proprietary scoring system to give investors the opportunity to massively outperform the market.
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