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Making big money in the stock market requires reliable intel.

History is like a hot cheese and ham sandwich without the cheese.

The future is anyone’s guess.

Most people waste time with “what ifs,” instead of aggressively seeking the future with as little noise as possible. Indeed, everyone is a prophet, whether as an “expert” or a lesser kind giving advice, not caring if its trustworthy or dishonest. Easy as flipping a coin, when you call it right, instant glory, instant smile and all the buzz to go with it; or wrong – so what!

The prophet, whatever the flip, will get it right sometimes.

It’s called the “Law of Average Principle.”

That’s why Wall Street and the other infamous names associated with the stock market have the most prophets than any business or profession on earth, and the worst at being right.

Why is that?

Simple: The general public has very short memories and are bombarded with worthless stock picking chatter.

What if the human brain had a partner, a “prophet” that distilled the noise into useable bits?

So far, G-101 algorithm is the only prophet that proves the point. At first, it made us miserable, but the truth set us free.

We got to the truth with a simple question to be honestly answered:

Why is Wall Street advice like living in a fantasy world, a world of illusions?

A straightforward answer is difficult to rationalize.

Three facts are certain: (1) The use of “coin-flip mentality,” (2) Focus on new money and the stock picks that worked in the past, (3) The stock market is rigged.

These are horrible conclusions, but when analyzed by the quality and quantity of information, a mendacious pattern emerges.

G-101 algorithm gave us an opportunity of redacting information to the short-term success or failure of the stock-picking advice purely on a monetary term for a 20-year period.

The conclusions were startling.

Of 42,059 short term stock picks (10-year period), whether long or short, of USA traded public companies, the “experts,” including the 50 significant brokerage houses, were only right 39.9% of the time.

Which means if an investor accepted their advice over a 10-year period, that investor would have lost all the money within first two years and three months, and be frustrated on the sidelines for 7 years and nine months.


The quality of the information.

Information is only useful, if it consistently works – like maybe 85% of the time, not 39.9%

G-101 algorithm determined to be a successful short-term trader of securities, you need information that was at least 73.7% correct to breakeven.

Let’s look at this by the factors vs. numbers.

Fact One: Information is rigged.

Rich people get richer because they understand the game.

Fact Two: Poor people and the rest of its kind never get the information or denied access to what the rich investors receive.

The classic example happened a mere 12 months ago. In that short span, more wealth was created based on length of time than anytime in human history. Meanwhile, 4.8 million American children were living in a household that was behind on rent as of May 2021. The pathetic statistic is the lowly tip of an iceberg.

It stands to reason, wealth as gauged by the stock market is rigged because rich people and the other kind have access to information, which sets the rules for the stock market to be rigged.

We have continually proven that point with the G-101 algorithm.

G-101 ** by the numbers:

From the data provided, we established a phantom short-term trading portfolio with $50,000 and 50% applied margin, for a total investable value of $100,000 or $200,000 for day trading purposes. Based on the 2021 reported stock selections as sent to our readers who requested the free data, the conclusionary results are:

January 12 picks *9L/3S $50,000 $62,940 net closing value of portfolio

February 7 picks 7L $62,940 $65,017 net closing value of portfolio

March 14 picks 11L/3S $65,017 $81,992 net closing value of portfolio

April 6 picks 5L/1S $81,992 $102,666 net closing value of portfolio

May 19 picks 15L/4S $102,666 $144,038 net closing value of portfolio

** L- Longs are buys; S- Shorts are short sales.

** G-101 applies a subjective probability “best guess” model to generated élite information by abstract means. Strands of data are assembled into “tags” to isolate trading patterns and unravel the true intent of investors.


From the perspective of the S&P 500 index***, it closed at 4204.11 on May 28, 2021.

Set upside resistance at 4232.60, and first-line support at 4139.96, second line at 4077.91. Look for directional movement within this tight range. A breakout above 4232.60 with a 15% increase in mean average volume over 25 days would suggest at test at 4307.00 for June 2021.

*** S&P 500 Index is our main “market pointer” to establish statistical direction of underlying stocks as calculated with the SP (Subjective Probability) matrix. Since market direction is the primary component, price action and volume frequency pulse should be calculated from our SP+/- tags.

21 stocks are tracing with tags above SP+/-84.5 ratings. Readers can obtain free list by requesting of stock entrance points above SP+/-87.5* and exits on open positions at

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