#QUESTIONBOX PART II

The objective of SPM TAG sequencing is to make as much money as possible by removing fear from the equation. 

WHAT IS THE G-101 SPM AI ALGORITHM?

G-101 SPM algorithm is an investment/enterprise predictor that gathers data from 145 preset sources and presents the values as SPM TAGS. The database tracks over 5215 individual stock components and other data subsets with each one carrying a "floating" SPM tag. The higher the value the greater the subjective probability of the collective data being accurate. The performance-driven platform evaluates current and historical records; and is structured as a digital monitoring surveillance tool to solve and deter misinformation while managing a database to offer "best guess" solutions. Its main engine is the Primary Volume Locator (PVL) which continuously tracks cash flows of the S&P 500 Index components to establish a directional control grid. Once the algorithm is locked into that variable, the platform searches for stock anomalies and imbalances between supply and demand. Only a third of the subsets are dedicated to fundamental and technical indicators. The balance of subsets are programed to track industrial and general economic data, investor sentiment, including emotions like fear, greed, and optimism, and overall market trends.

WHAT ARE SPM TAGS?

SPM TAGS are proprietary external influencers within the Subjective Probability Model that collect, processes, analyzes and filters raw information into classified and structured data.  The cooked data is manipulated to function in unison with different data categories to integrate and analyze them in a more streamlined and efficient way by creating pre-computed aggregates and normalized tables called “tags.” This allows for faster querying and analysis of complex datasets that work together through various data integration techniques and allows for combined analysis and insights. These methods help combine data from disparate sources, providing a unified view for SPM tag analysis.  We are able to separate the data into categories by using grouping variables. This involves identifying specific features and characteristics that define different groups within the data, allowing us to organize the data into factors that can affect decisions, behaviors, and outcomes. Since investing in stocks is not purely a rational process, the data points relating to fundamental and technical analysis were too empirical. Informed decision-making requires other essential data and analyses that can improve investment strategies, such as. (1) Quantitative Analysis: Utilizing mathematical and statistical models to analyze large datasets and identify trends and patterns that may not be readily apparent through other methods; the need to provide an objective, data-driven perspective and help uncover hidden opportunities or risks. (2) Sentiment Analysis: Gauging the overall market mood, investor emotions toward a particular stock, sector, and the market as a whole. (3) Macroeconomic Data and Analysis: (i) tracking interest rates, (ii) inflation rates, (iii) GDP growth, (iv) unemployment figures, (v) government policies.  (4) Industry Analysis: (i) analyze industry reports, (ii) market research data, (iii) competitor analysis to assess a company's position (iv) future prospects within its industry.  (5) Company Management and Qualitative Factors: (i) evaluating the quality and track record of the company's management team, (ii) brand reputation (iii) corporate governance, (iv) review management biographies, (v) company press releases, (vi) investor relations materials to assess the quality of leadership.  (6) Holistic Factors: (i) unpredictable events (like market crashes or political instability). (7) Anomalistic Factors: (i) seeks to understand why people experience and believe in things often labeled as paranormal by examining the natural, psychological, and physical processes that might be at play. 

WHAT IS THE OBJECTIVE OF THE SPM TAG?

The objective of SPM TAG sequencing is to make as much money as possible by removing fear from the equation.  Fear is a major psychological factor that can negatively impact an investor's ability to successfully pick stocks. When fear takes hold, especially during market downturns, investors are prone to panic selling their holdings at the worst possible time, locking in losses and preventing them from benefiting from potential market recoveries. This fear-driven behavior can lead to loss aversion, where the pain of losing money feels more intense than the pleasure of gaining an equivalent amount, making investors more likely to sell when prices drop. Additionally, studies show that the vast majority of actively managed funds that try to outperform the market by picking stocks consistently underperform broad market indexes over the long run. This suggests that even professionals struggle to consistently pick winning stocks.  Indeed, the stock market can be compared to a roulette wheel, particularly when it comes to the inherent uncertainty and risk involved in both activities. Both the stock market and roulette involve the possibility of losing money in the hopes of making a profit. In roulette, the outcome of each spin is uncertain, and there's a risk of losing your entire bet. Similarly, stock prices can go down, and there's no guarantee of making a profit, or you could lose your investment. 

Moreover, professionals use a combination of fundamental and technical analysis to pick stocks that are likely to increase in value.  This formula may work, sometimes, but it’s still a roulette wheel spin.

The SPM TAG utilizes the G-101 SPM algorithm, which has identified

instances of market manipulation. The website aims to predict

when these occurrences are most likely to happen.

SPM TAG merely supplies the information when the “riggers are in play.” SPM TAG data is wave riding, but not as a water sport where a person uses a board to ride on the forward section or face of a moving wave, typically toward the shore.  The goal is to utilize the wave's energy to propel oneself. Wave riding is often compared to buying stock that goes up because it's a metaphor for momentum investing.  However, momentum investing does not always work. While it has shown the potential for significant returns, particularly during strong market trends, it also carries substantial risks and can fail in certain market conditions, i.e.  Herd mentality risk: Momentum investing can be influenced by herd behavior, where investors chase trends without considering underlying value, potentially leading to asset bubbles and subsequent corrections.  Our algorithm applies momentum investing characteristics as one of the precursors for stock manipulation by assigning a SPM tag value to the specific event like a wave moving to shore and to signal the moment to jump off the board.  We cannot predict when the ripple becomes a massive wave to support a rider, but the algorithm can identify the event after the fact and present a SPM tag value of its subjective probability.  As stated, SPM TAG reports instances of stock manipulation once they become evident, which may mitigate concerns for investors when considering investment decisions.

DO SPM TAGS WORK FOR EVENTS OTHER THAN TRACKING NEFARIOUS ANOMALIES?

Certainly.  Even though the best results are chasing and acting upon stock manipulations, SPM tags are reliable in uncovering “special situations” identifiable as unique, non-routine corporate events or circumstances that can significantly impact a company's value. These events generate high consequence SPM tags that provide opportunities for investors to capitalize on temporary market mispricings or dislocations, differing from conventional investment approaches.  

HOW TO USE THE SPM TAG?

Using data from the SPM TAG requires a different trading strategy like "wave riding after the fact," which means trading after an anomaly is observed. Key aspects of a successful trading mindset include: (1) Adaptability: applying new information, accepting mistakes, and adjusting your approach; (2) Confidence: trusting your ability to interpret SPM tag data despite setbacks; (3) Discipline: adhering to a predefined strategy and avoiding impulsive actions; (4) Risk Management: handling risk and limiting potential losses; (5) Self-awareness: recognizing your emotions, strengths, and weaknesses; (6) Resilience: believing in the SPM tag data,  staying calm during market fluctuations; and (7) Long-term Perspective: focusing on consistent effort for sustained success rather than short-term gains.

Our daily schedule

Opening from 6:00 PM 4:00 PM

6:00 AM             #https://stocktwits.com/topic/FIRSTLOOKFIRSTLOOK sets cash reserves for the day by percent of your portfolio. Example:   50% means maintain 50% cash balance during the day in your prime account.

8:45 AM             #https://stocktwits.com/topic/FIRSTLOOKFIRSTLOOK sets support and resistance levels of the S& P 500 Index

9:00 AM             Posted continues during the day. 

https://stocktwits.com/topic/OPTIONACTION#SPNMOTES - Reports on factors concerning current events.

https://stocktwits.com/topic/OPTIONACTION#OPTIONACTION – Option news on specific stocks of interest.

https://stocktwits.com/topic/INSIDERS#INSIDERS – Buying and sell by corporate insiders.

https://stocktwits.com/topic/SHOWTIME#SHOWTIME – Special corporate events and presentation.

News affecting the market.

Posting until 5:00 PM.

WHO OR WHAT DECIDES WHICH SPM TAGS ARE POSTED?

All SPM TAG values are system generated without human opinion.

How the system works: The G-101 SPM AI algorithm has 145 data subsets organized into a single column. Each data point is assigned to a value-weighted component that reflects its relative importance and accuracy. This means some data points contribute more significantly to the overall average or calculation than others. Once compiled the value-weighted data column is measured as a single entity within a proprietary validation matrix that creates a time-sensitive, subjective probability model (SPM) tag value. These tags are rated from SPM 50 to SPM 100, with the higher scores indicating greater accuracy, and are presented as potential trading candidates. Every morning at 4:00 AM, a full tag sequence is launched and updated with alterations every 30 minutes. When a specific SPM tag changes by 100 bits in either direction, it is "cultivated" and data-docketed for future evaluation. These candidates are reshuffled in a separate data column   as a probable trade, guided by S&P 500 Index cash flow guidelines and other factors.   At 8:30 AM the primary SPM tag list is generated and filtered during the day. SPM tag disclosures are posted from the filtered list.

During the trading days, SPM tags and Abstracts continues to flow.

WHAT IS A POSITIONAL STRATEGIST?

Positional strategists are investors who focus on gradually improving their position, aiming for advantages by utilizing real-time data supplied by SPM tags. They prioritize factors like SPM tag values, investment fluctuation, management of cash reserves and discipline to create a superior position that will eventually lead to a winning advantage.

1.      Utilizing real-time data within fixed matrices known as “SPM tags,”

2.      Applying cash reserves to adjust investment positions based on SPM tag values,

3.      Declaring EXITS as static unless SPM tags indicate a compromised position,

4.      Using DAC (dollar average cost) to manage risks, ensuring no position is abandoned unless the EXIT value is compromised.

Example: BUY XXXX at $21.50 carries SPM 87.14 tag with EXIT at $30.00 in the midterm.

Three facts are true: (i) the number of shares purchased is dictated by the investor’s buying power (cash reserve), (ii) from the moment the trade is made the stock’s price will change, and (iii) from the moment the trade is made the SPM tag value will change.

Probable scenarios: (iv) XXX is sold at or near EXIT price, (v) XXX is not sold at the EXIT because the SPM tag  increased in value and a new EXIT point is declared, (vi) XXX declines in value  and sold  because the SPM tag dropped below 80.00, (vii) Buy more XXX; XXX is 5% or more  below $21.50 while the SPM tag remains the same in value or increases, (viii) Buy more XXX; XXX is 10% or more below $21.50 while  the SPM tag remains the same in value or increases, (ix) EXIT price is altered at any point to the XXX’s price cycle based on the SPM tag value.

Profile of a Positional Strategist: Learning the use of the G-101 SPM AI algorithm evokes a range of positive emotions, including a sense of accomplishment, increased confidence, and heightened well-being. It can be exciting, rewarding, and even therapeutic, leading to a boost in happiness and a stronger sense of purpose. The process of acquiring this new skill can also enhance adaptability and resilience, making it easier to navigate changes and challenges.  All because you are making big money in the stock market and having fun.

WHY THE EMPHASIS ON CASH RESERVES?

Cash reserves are immediately accessible funds used to manage the G-101 SPM portfolio. These reserves serve as a buffer that limits buying power when the underlying algorithm data forecasts a change in market risk/reward dynamics.

Maintaining cash reserves is our strategy to hedge against

unforeseen issues and to fund new opportunities.

Under FIRSTLOOK in the premarket, we post "cash reserves" as a percentage of capital available for trading. This value is derived from our Primary Volume Locator (PVL), a sentiment amplifier that continuously monitors investment cash flows of the S&P 500 Index components and various subsets. All intraday transaction must embrace the specified cash reserve requirements to ensure continuity of the investment profile.   When the net value of the portfolio reduces the current cash reserve rate, the algorithm adopts a "lesser if compromise" approach to align with the posted percentage of the cash reserve. Accordingly, investment adjustments to maintain cash reserve equilibrium are executed within the portfolio of any position with compromised SPM tags, regardless of their EXIT predictions.    In such situations, the algorithm alters the SPM tag values and posts REVISIT notices.

WHY THE EMPHASIS ON THE S&P 500 INDEX?

The Standard and Poor's 500, or simply the S&P 500, is a stock market index tracking the stock performance of 500 leading companies listed on stock exchanges in the United States.  As a widely used market indicator, it offers a more comprehensive view of the US equity market compared to the Dow Jones Industrial Average (DJIA). Consequently, the G-101 SPM series A1.4 algorithm’s directional grid relies on data from S&P 500 Index components to calculate the Primary Volume Locator (PVL), which continuously tracks investment cash flows and presents a statistical SPM tag value. Combines with SPM Sentiment Amplifier (SPM-SM), which rates selective demonstrative tendencies at a specific point in times.  The net data generated can interpret the performance of the U.S. stock market and, by extension, the health of the U.S. economy, investment characteristics, while rejecting anomalies that fact-checking may encounter.

Follow the G-101 SPM series A1.4 algorithm at https://stocktwits.com/G101SPM