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 The Financial Markets (Barron's) did not accept an Absolute Percent that ranks Stocks with an Hourly Benchmark with a Single Percent from .1% to 100%+, because the Absolute Percent means less trading.  Well here is another reduction of trading 

 

Tracking 30 Stock Prices 25 Days Out  

 

A Stock Price , A Currency Exchange Rate, Net Sales Dollars &

Cash Receipts of Any Business 

Have Been Given Arithmetic Certaintly in

An Accounting Sense by 100% with the same Patent that brought Investors the Absolute Percent Via the Universal Grid   

  

   Per Share Certainty for 25 days of trading 30 prices for the most consistent Operating Performing Corporations  known as the DJIA. Previously  RANKED  with a single & absolute Quarterly Operating Performing Percent (AB$%®) from a Patented Hourly Benchmark #3 that records Cash Profit ROI    

   

   I like to think about the Patent/Trademark Process technology as that of ever ending  baseball statistics that can be dated back 100 years & applicable today beginning with a 25 man roster that goes back as far I can remember.  Twenty five days of batting & earned run averages (ROI’s) dispersed among 25 players as combined daily with no rhyme or reason with results for nine innings while always keeping track of the entire roster. In fact see Tab 2 for a Baseball Average of the Past Recorded with the Future in Mind.

 

   Foremost, Amazon can not have it both ways, Cap. Value for Management versus Popularity for Shareholders. 

   Recent Price $1150 per Share with 2% Growth = $23.00

      $1150 with an imposed 12 stock split = $95.83 & 2% growth = $1.917

          Per $1000 & 100 Shares,,,,, $23.00/$1.917 = 12 Times or the non-split for Management & not shareholders.   

Which are Investors more likely to risk with a 100 share buy ???.

 

   Cap. Value needs periodic stock splits for the benefit of Shareholders to  manage & measure change over a fixed period versus other stocks in a Fund or Portfolio are doing at all times. What use is it if one stock grows 3% over the last month, while another does 2% over 6 weeks.  


 Chart #1 is a "Data New" Version of the DJIA ranked with three patented variables B, C & D:

 

Col B) Closing Price per Share of a Corporation’s Public Stock

 

Col C) an Hourly Benchmark #3 for the Paid Hours of the Corporation

 

Col D) the ROI percent for the Quarterly OiBiTDA Dollars (CPA’s Cash Profit) of the same Corporation

 

Col E)  Shares per $1000 Traded and/or Invested

 

Col F)  is the Absolute Percent (AB$%®) the Single Trademark for Each Corporation with ranges from .1% to over 100% that individually ranks Each Corporation from high absolutes to the lowest with three patented variables plus the most important driver never used for the financial marekts before: the quantity of shares per $1000 invested or traded.

  

The current data for the 7 charts on this tab is from the close of business on Nov. 30 for the DJIA (+332 points @ 24,272 or $242.72 per share)  as updated each week Tuesday for Monday's close & Thursday for Wednesday close at $49.50 for each full calendar quarter.  

 

Column’s G & H Uses American Express (AXP) as its example. The Patent’s Earned versus Paid Hours component of two Patents fixes 13,000 shares with 13,000 Paid Hours for 13 week’s trading at $93.90 per share for TRADING VALUE OR $93,900  before a 25 day cycle starts as a Quotient. Therefore 13,000 / Total Trading Value  $93,900 =.13845

 

It .13845 is the Quoient Probable of AXP for 1000 Shares no matter how many are traded  for 25 Days of Trading Value or $1,223,960  the 1st line of chart 2

 

 Moving to the Actuality of a Grid  in the 2nd chart 

AXP  closed the day at $97.70 for the day x 1000 shares = to $977,000  for line 7 of the Grid & a total of $1,223,960 / by 13,000  to = $94.15 the Prediction for the Day 

$94.15-$93.90 at the start of the Grid = $.25  &  .27% better than $93.90 the so called Prediction

 

Made Certain  by the the Quotient .13845  X  Total Trading Value $1,223,960 

to Equal Hours Earned  of the Grid Divided by the Actual Earned Hours 139451

to Equal what is 100% for Each  Statistical Certainty in the 2nd Chart 

Full View of the Technology with Posted Updates
Click For Details

 Proving the Arithmetic Certainty of Grid Totals with Postings of 13 weeks within the Patents 

 

Predicting Sales for any Business is easy because numbers are backed by bookkeeping or accounting operating statements prepared. Attaching such sales to Payroll Paid Hours are enhnaced as Patented by Gross Payroll Paid that can easily be confirmed by the  IRS as a 3rd party with the addition of PAID HOURS.  

 

After done for the first time the data becomes routine & powerful with many comparatives among Corporate Products, other businesses & competition.  Especially powerful because such data has never been gathered before over a consistent period of accounting time; a quarter.  The 13th week uses plug amounts that are in agreement with Net Sales Dollars and OiBiTDA Dollars of Operating Statements submitted to the SEC each Quarter.

 

In addition  13 week totals are reconciled to the penny for Payroll & to the Dollars  of Operating results with the prior Quarter as Patented for Benchmark #1 Sales, Benchmark #2 Payroll & Bx #3 OiBiTDA with percents  relative to 100%, Including the trading value of a stock by Paid Hours know as ROI & column D above.

 

The chart below summarizes  the AXP methodology with 100% including the DJIA by taking the Gross Trading Value of a Stock for 13000 Hours & 13000 Shares X a  Quotient & deviding by the Grid's Actual Earned Hours that equals 100% for Each so called Prediction.

 

   Below is hard to believe that Column E  Stock Quantities, has escaped 100 years of numerical quantity impact within financial markets when super markets are required to state the price per pound & oz for comparison purposes to like products. Chart #3 below show how Price per Share with high ROI is the path as exposed by the Absolute Percent is the most dominant factor for advantageous investment results.  In fact it is even easier than that. The ROI of a Portfolio goes up with any purchase of a higher ROI than that of the Fund or Portfolio .    

 

The left Portfolio and/or Fund has equal shares for each  that total 1000  Shares    

 

The right Portfolio and/or Fund has 1000 shares distribuded for each  Stock with the most shares down to the least  relative to higher ROIs.

 

Results  

Evenly distributed 1000 shares; Trade Value $109,160 ROI 19.3% ,Ratio per $1000 2.421 / ROI Inverted 5.182, = the Absolute  Percent AB$% 46.7% 

 

ROI distributed 1000 shares; Trade Value $122,206 ROI 21.2% Ratio per $1000 3.813 / ROI Iinverted 4.708 = the Absolute Percent AB$% 81.0%.

Case Closed   

Even  Shares Same Facts as  above chart except

 

XOM imposed Price per Share $120.00 vs. $83.26 

Ratio per $1000 2.268/Inverted ROI 5.513 = 41.0% AB$%

 

Distributed 1000 shares at $120.00 for XOM 

Ratio 3.801 /ROI Inverted 4.849 = AB$% 78.4% 

Case Closed  Just Arithmetic   

For the Record this is the DJIA on Nov. 30 2017

24,272 on the right 

 

The D 30 Curve on the left is a model with 460,578 shares as allocated from 79.476 Outstanding Shares in the middle  

 

The 30 Curve Model should be an

ECONOMIC INDICATOR ON AN EVERY DAY BASIS 

Representing the 30 Most Consistent  Corporation to 

RAISE CASH PROFIT

with Benchmark #3 $57.56 Revised for Each  Quarter 

All Outstanding Shares in the middle could be the Economic Indicator also with BX#3 at $50.26

Either one could be an Advertising Bonanza 

With the $30 million Curve a Hands ON

Bank Real Time Product where as all saving depositors could Transfer into $1000 Increments of the Econimic Indicator .

 

FAR BETTER THAN THE DJIA ETF INDEX CLOUD

ON THE RIGHT

 

OWNED AT $242.72 PER SHARE WITH EQUAL SHARES OF 82 BILLION FOR EACH CORPORATION PERIODICALLLY ADJUSTED TO VOLUME TRANSFERS & TRADING  

BELOW WITH

THE PRICES PER SHARE OF THE CURVE MODEL & ALL OUTSTANDING  

DIVIDED BY THE THEIR RESPECTIVE ABSOLUTE PERCENTS  SET & PROVE BOTH AT 1000 AB$% FIXED POINTS  

What can be done for each stock price can be done for those cloud holdings of the

DIA ETF SPDR Daily INVESMENT DJIA Index   

 

WHERE THE SHARE PRICE CAN BE ARITHMATICALLY CERTAIN BY EARNED HOURS AT 100%

In chart 2 above

 

      

Its is hard to day where the Patent/Trademark's Largest Market Lies for the Technology 

Sales Efficiency + Labor Efficiency Always = to 100% for Any Business

As Predictable Quarterly after its first Actual Use

Its 1st Use for a Full Quarter Example  

The chart below is meant to extend the Quotient Actual 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 Totals & the Prediction to really be  Quarter to Date Actual

 

Within the Grid the daily "Quotient Actual" QA 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 57,276/ 52,465 Paid Hours  = 109.2%

 

While 

Payroll Dollars = $14.940 per Paid Hour vs.

Hours Earned  $13.685 or -9.2% more     

to Always = 100%  with  Sales Efficiency as Patent Designed

 

WHILE 

Net Sales Totals, in this case Cash Receipts were intentially made very irratic in amount for the last cells of the grid while analyzed in total with the previous quarter. ($352,777 more with a volume & rate per room breakout as to price & volumn ) 

 

Such OiBiTDA Dollars from Net Sales and/or Cash Receipts as Benchmark #3 is also related to a Stock Price as analyzed versus the Prior Quarter  $35,328  more per Hour. 

 

Hospital Operating Rooms would have their own Quotient  Earning  Hours form their Paid Hour Personnel    

 

Borrowing from the Patent Text & the Last Chart   

  

   "There are no wrong OiBiTDA results for a Current Quarter when the Actual Paid Hours of the Prior Quarter are divided by the Actual Sales Dollars of the Prior Q to = the Quotient Probable for the Certainty of Reporting Accounting Results. 

   

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 Quotient when divided by the Net Sales Dollars (or cash receipts) 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 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 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 & Cash Reciepts 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. 

 

Lastly & again 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.”   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.

  

   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 Quotient. Both should be in SEC hands through partial or as a whole. 

 

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.      

 

 

  

  As a Bank of America Shareholder I tried to retain Merrill Lynch as my investment Banker. To no avail when offering 51% of Equity to BAC. No one wants to do the arithmetic in person.

 

Such 51% to a Worthy Inovator with 25% to the SEC is still an option.