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Inve$tor Tran$parency






7405 Orchestra Lane, #1319

Melbourne, FL 32940





   BUT FIRST PQ Earns Trading Dollars from Stocks

That Predicts the DJ Economic Indicator at 99.7% on a Cylical Basis 

From 30 Itemized Daily Changes  


The Trading Price of stock is here-by predicted & proven accurate by the deviation to 100% as calculated from the Probability Quotient. Such is best done for active stocks (the Dow 30) with the addition of Bank of America that constantly achieves the highest Absolute Percent AB$%® since its inception. Both the Probability % & the Absolute % are powerful within their own right.  Both are equally far reaching but need an Equiity Partner for fulfilment in the form of an Investment Banker addressed at the end of this website.   


"Give the best you have to the highest you know 

and do it now" 

Ralph W. Sockman 

  Bank of America trading @ $25.02 today & $24.22 for last few days X 1000 Shares X its Probability Quotient of .54294 to Earn 170,601 Hours for the Quarter over those Fixed is 100.95% versus 9/15 at  $23.94  


 Bank of American my bank & my principal investment because of their Corporate ROI @ 20% has also  been the Highest  Absolute Percent Leader since & after  joining with Merrill Lynch. It never should have been removed from the DJIA with $230 billion in Cap Value, higher than 2/3  of 30 Corporations. BAC did not even appear on the daily trading scroll of FOx business when its stock was below $20. 

    The All World Grid Excel Workbook is a mathematical phenomenon. The first 4 charts below are an Introduction of actual data accumulated for 30 closing stock prices of the DJIA plus Bank of America at the outset for each 25 day cycle at 100% for each Corporation. The Grid workbook will be recording 25 days of actual stock prices with a new PROBABILITY Quotient quarterly in each 25 day period that start at 100% efficient for Earned Hours versus Hours Pald. Stock prices are first demonstrated here-in as a substitute for Sales Income of a Labor Force to collaborate that those specific net sales amounts can also be predicted quarterly for any business-- like so at the end of this website.   


It has been a long journey analyzing Operating Results among different Divisions as a Corporate Controller of the past for a reorganized Fortune 500 manufacturing corporation before I retired in 1989. The trip has been worth it because I can now SHARE the PREDICTING PROOF of Actual Results for 31 Stocks with a Business Predicting Net Sales Each Quarter from Earning Hours IN CHART 1. 


        Below are the remaining Probability Quoients of the Economic Indicator in the form of the 30 Dow Curve model for all 30 stock prices finishing the prior cycle ready & able what ever the market brings to the price of a Stock.

    Please notice between these 2 charts how the DJ Indicator as a whole of $28.2 million is off .5% vs. the Prediction of 99.7%.  


In knowing 25 day revolving door stock prices in Managing a Portfolio and/or Fund, an investor does not have to made any trade to test the waters or dollar cost average & pay more capital gain tax.   

Chart 4 

Best Case example for the Absolute Percent 

Bank of America vs. Amazon in the

Raw for 40 shares per $1000 


Which way they are headed unless Amazon has a Split  

  Chart 5 

Below are my own Accounts at Scottrade with an AB$%

In the 100% range as programmed in advance 

 The Standard Bearer for Ranking the 30 DJIA Stocks  

That could be done  for All Equities traded that Report Quarterly Operating to the SEC



 Chart 6 is quite specific as to BAC vs. Chase (JPM)

Perhaps being removed from the DJIA which would drastically change with 51% of My Patent/Trademark Process

Chart 7  

Chart left is the 1000 Point AB$% D 30 Curve Economic Indicator

In Millions of $$ 

A Model with proof of its relationship to 100% & 1000 Points by dividing the price per share by its  Absolute Percent  


Chart center is the Cap Value for All Outstanding Shares in billions of shares for

Direct Shareholders of 30 Corporations

Equal to Six Trillion $$   


With proof of its relationship to 100% & 1000 Points by dividing the price per share by its Absolute Percent  


To the extreme right is the DIA SPDR ETF daily as multiplied by the closing price of the

DJIA on NYSE that Equals

17+ Trillion Dollars 

For Billions of Indirect Shares as Concocted by Wall Street

     The chart below is meant to extend the Probability Quotient of a stock price to the dollar & cent cost of a Labor Force for any Business. However it may fluctuate during 13 weeks each quarter as collaborated by dollar reporting to the IRS regulations.  Within the Grid the daily probability quotient earns hours versus those paid among three dollar variables as Patented: Bx #1 Net Sales Income, Bx #2 Payroll Costs, & Bx #3 OiBiTDA Dollars. The three work in tandem as in the chart.


  Hours Earned from Sales 45,296/ Hours Paid Actual from Payroll 38,200 = 118.3% 



Payroll Dollars = $13.734 per Paid Hour vs.

Hours Earned  $11.612 or -18.3% more     

& 100% Net at All Times by Patent Design


Please notice that Chart 7 not only compares to Sales Dollars but to the Cost per Hour of the  Last Quarter

Also in the lower part of the chart two products can Earn Hours

Just what all resturants need for the Profits of Food vs. Liquor Sales    



Borrowing from the Patent Text &

Figure 1

of the Last Chart   

"There are no wrong OiBiTDA results for a Current Quarter when Total Actual Sales $$$ for a Currrent Quarter are multiplied by the Actual Paid Hours of the Prior Quarter divided by the Actual Sales Dollars of the Prior Q to = A Quotient as Such 


Figure 1 Total Employee Hours in a Quarter = # of Salary x 40

+ Hourly Employees Worked x 13 weeks =

Hours Worked as Patented for a Quarter


   Little did I know in the 1970’s when I compared Hours Paid to those Earned so much would be derived from so little. Such was from a manufacturing cost system for a Division under my controllership.  So much, being the Probability Quotient when divided by the Net Sales Dollars of the Previous Quarter.


Any business user need not know the exact number of Paid Hours before its first use as the numerator regardless of the any head count. All of which I speak comes into focus from that which follows weekly across all the columns that equals 100%.


   Subsequently posting will be begin deviations with 100% while every Sale Dollar develops the facts of of net sale revenue whether cash receipts, billings or credit cards for what ever Hours Paid over 13 weeks.


   Soon after a user will begin to reley on his or hers own data with weekly averages in each cell versus those for prior weeks. Even 2 or 3 weeks to a current calendar quarter ended March 31, June 30, Sept. 30 & Dec. 31  or fiscal quarters for such companies will be good enough to solo for your own business for your own yearly quarter.


   Eventually your Probability Quotient data & the deviations in totals will be managing your CASH IN. With this in hand along with weekly postings of the weekly net changes to one or several checking accounts in the OiBiTDA column you will have your cash profit from operations along with the analysis of the 3 Patented Benckmarks. 


  I am saying that TOTAL NET SALES DOLLARS are independent of the initial numerator and/or denominator amounts in the chart as noted by white on black cells. All Net Sales dollar postings subject all other Total Columns to change via the multiplication of the Probability Quotient. 


  If the user of the Grid prepares a Quarter to Date operating statement for the exact days of the grid which is recommended, the net sales of week 13 would be adjusted to have the total sales agree with the statement that would also bring change to plus or minus 100%.


   To explain the above with very strange words never used for numbers in order to get the attention it deserves. NET SALES TOTALS OF ALL WORLD PATENTED GRIDS HAVE A FREE WILL.  Hopefully you will accept the statement to use the Grid in many ways that the SEC should pursue. Over the years I have tried to convey all of the above from daily postings and charts within my prior web addresses & postings. I did not achieve one paying client thus all they has been put in internet archives.


Lastly per the Patent there are “No Wrong OiBiTDA* results, only real-time answers as to how and why Quarterly Corporate results change from prior SEC submissions.”   Where below in chart 7 all the data are relative to Benchmarks 1,2, & 3 in comparison to the prior quarter, referred to as parameters after a full quarter of use.


*Patent Figures 2 thru 4


Here in as a retired CPA Corporate Controller of a very former Fortune 500 Corporation I am not looking for specific market help for the All World Grid and its Probability Quotient. Both should be in SEC hands through partial Equity ownership of the Absolute Percent via an Investment Banker thru an IPO. 


Such an IPO would also bring to fruition the right for Shareholders to know Stock Price Tracking from Actual Trading Results for the past 25 days via Earned versus 13,000 Fixed Paid Hours per $1000 each day. 


PS: A 2nd PQ can be used for Cash Receipts ONLY with OiBiTDA being the weekly change to a Check Book that will revolutionize Accountability for Government Agencies &  Local Bank Operations.


   Although all of the above orignated in a manufacturing plant. Retail Giants can expose the mix of each Major Product Line from all the personnel in each Facility (specified in the Patent) as never available before.  Ditto for all products from each plant.      


Ps: for PQ that can forcast overall sales at the same time 



 To Summarize  

I hereby want to retain Merrill Lynch as my investment Banker to extend what I have done for 31 stocks & Net Sales World Wide.  Such a connection to the accounting world means that all Public Corporations can be ranked in descending order for Portfolio Investing while informing Business Management as to the efficiency of their labor force. All should be presented to the SEC to partially share in an IPO equity ownership as the quickest route to use by Shareholders & Businesses alike with Bank of America holding a majority ownership position (51%) at no initial costs.