Trying anything radical with your hard-earned money is never a good idea, especially when the objective is to make big money in the stock market. Under normal conditions you would have better odds at a racetrack with a tout sheet.
But wait!
Billions are made on Wall Street. The biggest gambling casino in the world functions by the tout sheet, but it’s convincingly called financial analytics, investigative opinions, prudent recommendations. Insider noise whatever the flavor or color is the hidden agenda.
“To sell is to be, and that is the answer.”
No different to what happens at a racetrack; just unloading pieces of information to convince the other guy, “it’s a sure thing!” When you distill all the circumstances the information merely represents “a best guess” with all the ramifications the phrase can conjure.
Sure, millions of potboilers have been selling dreams since caveman days and will continue to do so until the end of time. Nothing changes except a best guess. What if you can turn that phrase on its head?
There is a way; and it’s called subjective information.
Subjective information is unconditionally pivotal in deciding, as it presents the foundation for assessing options, perceiving possible outcomes, and assembling informed choices based on facts rather than assumptions; fundamentally, without adequate information, making a sound decision is unachievable. The only question to this reckoning; what is subjective information?
To ensure the best guess in decision making, subjective information must be specific to the circumstances to determine what data has the probability to facilitate a cognizant choice. Once the data is identified and understood, a “what of” sequence is introduced to mitigate risks and present “best case circumstances.” At this level additional data is introduced to quantify underlying questions that become apparent. The final stage accesses data reliability within the applied question or questions presented, and “suggests” probability trends or patterns.
In essence, the right combination of subjective information tailored to assess investment value is the “Holy Grail.” To date, that conclusion remains “work in progress.”
At the moment, the best bet for “BEST GUESS STOCK PICK” is Artificial intelligence (AI), a set of technologies that allow computers to perform tasks that normally require human intelligence. AI uses math and logic to simulate human reasoning, enabling computers to learn from data, make predictions, and take actions. However, except for G-101 SPM AI algorithm, AI doesn’t seem advanced enough to put human stock pickers out of business on Wall Street. As for G-101 SPM AI, the algorithm is an investment predictor that gathers data from 129 preset sources and presents the values as a SPM matrix number. The database tracks over 5215 individual stocks with each one carrying a "floating" SPM tag. The higher the value the greater the subjective probability of the collective data being accurate and culminating with the issuance of an auxiliary SPM tag.
EXAMPLE OF SPM TAGS CALLING THE TRADES
Case Study:
Super Micro Computer, Inc (SMCI) as a “best guess” trade is not an isolated circumstances and presented the sophistication of our AI algorithm.
Super Micro Computer, Inc. SMCI $47.15
Super Micro Computer, Inc., together with its subsidiaries, develops and manufactures high performance server and storage solutions based on modular and open architecture in the United States, Europe, Asia, and internationally. Its solutions range from complete server, storage systems, modular blade servers, blades, workstations, full racks, networking devices, server sub-systems, server management software, and security software. The company provides application-optimized server solutions, rackmount and blade servers, storage, and subsystems and accessories; and server software management solutions, such as Server Management Suite, including Supermicro Server Manager, Supermicro Power Management software, Supermicro Update Manager, SuperCloud Composer, and SuperDoctor 5. In addition, it offers server subsystems and accessories comprising server boards, chassis, power supplies, and other accessories. Further, the company provides server and storage system integration, configuration, and software upgrade and update services; and technical documentation services, as well as identifies service requirements, creates and executes project plans, and conducts verification testing and technical documentation, and training services. Additionally, it offers help desk and on-site product support services for its server and storage systems; and customer support services, including ongoing maintenance and technical support for its products. The company provides its products to enterprise data centers, cloud computing, artificial intelligence, and 5G and edge computing markets. It sells its products through direct and indirect sales force, distributors, value-added resellers, system integrators, and original equipment manufacturers. The company was incorporated in 1993 and is headquartered in San Jose, California.
ACTUAL TRADES VERIFIED
11.01.24 $SMCI $26.87 ask.
BUY/ NEW LONG POSITION carries SPM 84.99 tag (after 1256 bits increase) to $35.00 EXIT in the near term.
note: Key to the SPM tag is the conclusion that a new auditor will be selected within a reasonable amount of time to establish a psychological reaction.
TAKE AWAY: When SPM tag increases by over 1000 bits in a single reading, the subjective probability to cover its EXIT at $35.00 is 95%. As history declares that even happened within the timeframe allotted.
11.06.24 SMCI $20.83 ask.
BUY/2X ADD TO LONG POSITION on SPM tag valuation increase. DAC (dollar average cost) (3) $22.78 last $26.67 (10.23.24). EXIT $35.00.
UPDATE: Super Micro Computer sees Q1 EPS above consensus; Q1 revs below consensus; sees Q2 EPS and revs below consensus. note: "The Special Committee has completed its investigation based on a set of initial concerns raised by EY. Following a three-month investigation led by Independent Counsel, the Committee's investigation to date has found that the Audit Committee has acted independently and that there is no evidence of fraud or misconduct
on the part of management or the Board of Directors. The Committee is recommending a series of remedial measures for the Company to strengthen its internal governance and oversight functions, and the Committee expects to deliver the full report on the completed work this week or next. The Special
Committee has other work that is ongoing but expects it to be completed soon."
$SMCI $25.66 bid.
SELL/TAKE PROFITS. DAC (dollar average cost) $22.78. Click SEARCH (magnifying glass)
icon on our landing page to review the postings.
$SMCI $21.69 bid.
BUY/REVIST carries SPM 86.13 tag to $22.80 in near term
note: Sold at 21.94.
$SMCI $37.65 ask.
BUY/ADD TO LONG POSITION. UPDATE: Holds long position to $50.00 EXIT.
UPDATE: Today announced positive independent Special Committee 's findings:
TAKE AWAY: Special Committee, supported by outsiders that ^No restatement of reported financials expected placed in motion a change to EXIT value to $50.00 as expressed by SPM tag.
$SMCI $44.82 bid. DAC (dollar average cost) (2) $38.475 last $37.65 (12.2.24). EXIT $50.00 (Second Tier).
OVERVIEW: Super Micro Computer, Inc. shares jumped around 29% after the company announced it completed a review by an independent special committee and stated EY’s conclusions were not supported by (positive) findings.
note: Counsel Cooley LLP and forensic accounting firm Secretariat Advisors, LLC, finds no evidence of misconduct on the part of management or the Board of Directors and that the Audit Committee acted
independently
^No restatement of reported financials expected
NET TAKE AWAY: $SMCI trade from $21.69 bid to $47.15 in less than 60 days while its SPM tag confirmed every events that support the increase in value.
SMCI is not an isolated events as expressed by:
HISTORY OF THE G-101 SPM AI
G-101 SPM AI PORTFOLIO REPORT CARD:
For the trading month ending, November 29, 2024 at 1:00 PM, 18 symbols were posted of which 16 were liquidated at a gain and 2 were liquidated at a loss. **
^^ Accuracy percentage rating (APR) for the month ending November 29, 2024 of net liquidated positions was 88.89 % versus 97.05% for the prior month.
^^ From March 9, 2023 to November 28, 2024, 2564 symbols were posted with an accuracy rating of 87.06% versus 97.05% (prior month). The results were based on liquidated values and net gains (losses) of unrealized positions.
** Click SEARCH (magnifying glass) icon on our landing page to review all trades
CONCLUSION
WARNING: READ AT YOUR OWN RISK REMAINS THE FLAVOR OF THE MOMENT.
Our G-101 SPM AI algorithm has been in public use since March 2023 and remains the only fully functioning system with a performance rating above 87%, while the rest of the AI contenders remain below 40%. As for Wall Street pickers, on average, the best 100 firms are only 25% higher.
At the moment, G-101 SPM AI algorithm looks too good to be true / outclassing billion-dollar firms with more money and resources.
Be as it may, give us a look and remember:
WARNING: READ AT YOUR OWN RISK and don’t rely on the other guy for help – as a collective group they’re still lost in the sauce. We may have the answer of making big money in the stock market.
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