Inve$tor Tran$parency






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   The Trading Price of stock is here-by predicted & proven accurate by the deviation to 100%. Such is best done for 30 active Dow Stocks with the addition of Bank of America that constantly achieves the highest Absolute Percent AB$%® since its inception. Both use of grade school percent is exciting and powerful.  Yet as simple as an Excel download as posted in chart 3 every other day on this website. Such is so far reaching it needs a 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 @ 30.00 per Share I.E. X 1000 Shares X its Probability Quotient of .54294 for the Quarter is  Predicted to be 1.9% better than the actual for the last 25  days at $24.41 & 101.9% Earned Hour Efficient at the same time. 

Charts 1 & 2 below imposed a significant $30.00  I.E. BAC Stock Price Change for the 2nd of 25 Grid Entries to prove

100% Earned Hour Originality to Predict Change   


 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

    The All World Grid Excel Workbook is a mathematical phenomenon. The first 4 charts below is an Introduction of actual data accumulated for 30 closing stock prices of the DJIA plus Bank of America at $23.94 on 9/15/2017 with all 31 being 100% Earned Hour Efficient in chart 3 before accepting future changes  every two days. 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 businees-- 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 a past & 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 by way of the Price per Share of 31 Stocks and the Unit Price of an Invoice Count, both of which are in place with accounting collaboration.  AND MORE IMPOTANTLY WITH A DOWNLOAD OF EACH THAT CAN BE VERIFIED first and then USED as a matter of choice without charge in its Patented Grid Format.   

   There are no charges for the downloads that proves the capability & accuracy of Predicting Stock prices that could be done for all traded stocks  or chart 3 every other day for the DJIA stocks as reconciled to the D 30 curve Economic Indicator every other day & the use of the All World Grid for your business.

     In the chart above the Bank of America & its Price Per share is demonstrating an imposted $30,00 change on its true recording of  $24.94 average price per share for the past 25 days being 101.9% Earned Hour Efficient. 


   25 days being the 1st actual gathering of such data to be used in all future cycles within 13 weeks of the Universal Grid that is posted every other day. Such totals in arriving at the average price takes the very last & 25th day and extends it over the next 25 day with a new Probability Quotient where Paid Hours are again Equal at 100%.    


   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 preparing for the next period  ready for new changes with a new Probabiity Quoient. 

    Chart 3 as reproduced from the Download is hands-on trading knowing 25 day revolving door stock prices in Managing a Portfolio and/or Fund. An investor does not have to made the trade to test a Portfolio's reaction.   

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  

 Below is the proof as to the Exact Absolute Percent of the D 30 Curve model in millions of dollars & for All Outstanding Shares for billions of shares as Fixed at 1000 Points.  

By the Price per Share divided by the AB$%

The D 30 Curve can be duplicated in 28 Million Dollar Segments as originated by Banks from Saving account transfers until fully funded. 

 Chart 5 

 The Standard Bearer for Ranking the 30 DJIA Stocks  

That could be done  for all Traded Equities that Report Quarterly Operating to the SEC

Chart 6

Chart 7 

     The chart below is meant to extend the probable authenticity of price per share to the Labor Force of any Business however they may fluctuate during 13 weeks each quarter as collaborated and required by 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 

"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 


 Per Chart Above $1,397,397 X .032415 =

45,296 Hours Earned

Divided by 38,300 Paid Hour  = 118.3%


.032415 is Here-By Christened the Probability Quotient 


 As Texted Below for the Labor Force of Figure 1 of two Patents & the Equity Trade Mark  




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.


A PQ user’s best part; 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 because week one across all the columns equals 100% ready for new facts in each cell. As subsequently posted 100% will be begin deviations with every Sale Dollar developing the facts of the denominator for what ever Paid Hours total over 13 weeks.


   Soon after a user will begin to reley on the accuracy of weekly averages in each cell versus those for the 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.


   Eventually your Probability Quotient & 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. To repeat the setting for the initial Probability Quotient matters not, only what totals follow. 


  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. And to do away with the only Mangement comment, "new store sales" from a different PQ  for each check out tape.   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 to all other active Public Equities. 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. By connecting statistical data to the world by means of the Universal Grid that records, predicts & analyzes results of quarterly net sales at the same time. 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 at no initial costs.