Visit our September 2015 Archive Web Site


Inve$tor Tran$parency






7405 Orchestra Lane, #1319

Melbourne, FL 32940





Because No One Believes That Which Follows 


BUT FIRST PQ Earns Trading Dollars from Individual Stock Prices 

 New Worldwide Data in a Predictable Grid Format available to every investor and/or business but even more important to the world of statistics in every currency.

Statistic, noun. an estimate of a parameter

Statistics, noun. the mathematics for the collection and interpretation of numerical data

Probable adj. likely to happen, reactively likely but not certain 

Prediction noun. make known in advance

 Here In

 A Statistical Probability has been given  Arithmetic Certainty to Predictions for a Stock Price, a Currency Exchange Rate, the Net Sale Dollars of any Business; because 100% is Never Wrong



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. When the Web Site speaks to Net Sales of the Universal Grid it can also be Cash Reciepts as well  &  Separate Grids for Each.  

  AXP $92.96, BA $260.74,BAC $25.83 & Apple $156.99 for the record with BAC & Apple for the Trading Price of 1000 Shares in Grid Form for the 13th  Cell of the Universal Grid within the charts on the next tab.

        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 $28.569 million is Predicted at 100.7% .  


Another way to observe the 100% deviation of the Results is from a

Business Sense where by Stock Quantiites Generate what can be the Unit Quantities at their respective selling prices  for analyical data never before available to Management or Accountnats & their Financial Statements 


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.   

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


Bear In Mind 

Each Quarters Benchmark #3 (OiBiTDA) Cash Profit of Consolidated Cap. Value with the Exact Closing Trading Value per Paid Hour for Each Group, Division, Etc. answers the Age-Old Question.


 Is the Sum of its Parts Greater or Less than the Whole 


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  


This allocation of Outstanding Shares is also meant to be the means for Bank America Saving Depositors to partcipate in 25 million dollar lots of 30 Dow Stocks as discussed in Tab 2. By which the Bank could avoid all banking regulations by doing the purchasing for the $25 first in the exact proportions as also being predicted through out this website. Also the means for the every day worker to particpate in the growth of the US Economy at $62.00 per share instead of the ETF at $200 plus. 


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

3 times the $6 Trillion Outstanding Shares  

From Billions of Indirect Shareholders on a Cloud 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. 

But more important as with a Stock Price 

Every Dollar Amount of Net Sales Earns more or Less Hours to both Grid Totals with a Change to the Percent of Efficiency that Changes the Prediction 


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.