1. Stockup ™ Takes the guesswork out of Buy, Sell, and Hold! A Technical Presentation…...

2. $There are many stocks whose prices move cyclically on emotion and investor mood $That emotion/mood can be mathematically detected $The movement of a stock price can then be statistically predicted -- mitigating losses and generating investment profits. Theory:

3. How does STOCKUP make it’s Buy / Sell / Hold recommendations?

4. $Over time stocks move in cycles. In theory, the cycles can be predicted perfectly by a "perfect" Moving Average (MA). $Using advanced technologies, STOCKUP finds a "very good" moving average for each stock $A Moving Average is calculated by taking the stock closing price over a Period (length of time), then averaging the closing prices over that period. $For some stocks, a better predictor of the future is to use a Weighted MA where more significance is given to yesterday than the day before yesterday. Moving Average

5. When a stock's price is greater than the MA, it is said to be "in zone” and statistically a good time to buy the stock. $When doing stock MA analyses, STOCKUP also shifts the MA around by an In Zone Factor (IZF). $The IZF affects the timing of STOCKUP-suggested actions.

6. $In order to determine whether to buy, sell, or hold a stock, STOCKUP calculates the MA for a given stock using all combinations of Period, IZF, and Weighted MA. $In a process call Backtesting, STOCKUP simulates an investment of $10,000, for each combination of Period, IZF and Weighted MA, for each of the past 360 days.

7. Backtesting Ý For Each Stock Ý For this GRAPH ( Period, IZF & Weighted MA) Ý For Each Day = 360 days ago to yesterday Ý Get the stock closing price for the Day Ý Simulate Investment Action

8. Backtesting If we already own the stock then Stock price below the Out Zone? action = Sell all shares of the stock Stock price not below the Out Zone? action = Hold shares If we do not own the stock then Stock price above the In Zone? action = Buy as many shares of stock as possible Stock price is not above the In Zone? action = wait and do not buy any shares yet Simulate Investment Action

9. Backtesting For Each Stock For this GRAPH (combination of Period, IZF & MA) For Each Day = 360 days ago to yesterday Get the stock closing price for the Day Simulate Investment Action Ý Repeat For Next Day and each day through yesterday

10. Backtesting For Each Stock For this GRAPH (combination of Period, IZF & MA) For Each Day = 360 days ago to yesterday Get the stock closing price for the Day Simulate Investment Action Repeat For Next Day and each day through yesterday Ý Result = the yield for this particular graph Store the Result with this GRAPH If Result > Best Result So Far then make this the new Best GRAPH

11. Backtesting For Each Stock For this GRAPH (combination of Period, IZF & MA) For Each Day = 360 days ago to yesterday Get the stock closing price for the Day Simulate Investment Action Repeat For Next Day Check Result for Best GRAPH so far Ý Next GRAPH

12. Backtesting For Each Stock For this GRAPH (combination of Period, IZF & MA) For Each Day = 360 days ago to yesterday Get the stock closing price for the Day Simulate Investment Action Repeat For Next Day Check Result for Best GRAPH so far Next GRAPH ÝIssue Today’s Action Recommendation Based on Best Graph

13. Backtesting Issue Today’s Action Recommendation Get today's stock price for this stock If today's stock price is > In Zone for Best GRAPH then Issue 'Buy' - Purchase recommended if not already owned Else If today's stock price is < Out Zone for Best GRAPH then Issue 'Sell' - Sell is recommended -- Sell all shares owned Else If the stock is already owned - 'Hold' the stock If the stock is not owned - 'Wait' to buy later

14. Backtesting For Each Stock For this GRAPH (combination of Period, IZF & MA) For Each Day = 360 days ago to yesterday Get the stock closing price for the Day Simulate Investment Action Repeat For Next Day Check Result for Best GRAPH so far Next GRAPH Issue Today’s Action Recommendation Ý Next Stock

15. How does STOCKUP select those stocks that consistently result in the best yield ? STOCKUP Stock Picking

16. $Get all stocks from all exchanges. $Only include those stocks that have average daily volume of 500,000 trades per day and price at least $10.00. This is the initial selection pool. $Run the STOCKUP Dynamic Tester against the initial selection pool. STOCKUP Stock Picking

17. The Dynamic Tester determines what STOCKUP's decision would have been for each day from 90 days ago through yesterday. STOCKUP Stock Picking - Dynamic Tester

18. Ý Go back 90 days and assume that is ‘todays date’ Ý For each day from (‘todays date’ - 360) to ‘todays date’ Ý Do complete backtesting and simulation Ý Simulate doing the STOCKUP recommended action. Ý Next day ÝRepeat the same test for 89 days ago, 88 days ago, on through yesterday -- each day simulating doing the recommended STOCKUP action. STOCKUP Stock Picking - Dynamic Tester

19. Today Day 0 450 days ago 306090120 150180210240270300330360390420 STOCKUP Stock Picking - Dynamic Tester In backtesting, STOCKUP goes back 360 days from today and does the graphing and investment simulation: Day 360 Today Day 0

20. Today450 days ago 306090120 150180210240270300330360390420 STOCKUP Stock Picking - Dynamic Tester The Dynamic Tester shifts back to 90 days ago and then does the graphing and investment simulation for 360 days prior to that to find what STOCKUP’s recommendation would have been for that day: Day 90 is now Day 0 360 days prior

21. Today450 days ago 306090120 150180210240270300330360390420 STOCKUP Stock Picking - Dynamic Tester Then the Dynamic Tester goes to 89 days ago and does the graphing and investment simulation for 360 days prior to that. Day 89 is now Day 0 360 Days Prior Day 449 Day 89

22. Today Day 0 450 days ago 306090120 150180210240270300330360390420 STOCKUP Stock Picking - Dynamic Tester This continues until STOCKUP’s recommendation for each day from 90 days ago to yesterday has been determined. Day 450 Day 0 Day 30Day 60 Day 90 Day 420Day 390Day 360 Day 90 Day 60 Day 30 Day 0

23. STOCKUP Stock Picking - Dynamic Tester The results of the Dynamic Tester are: - The number of scoops (buy/sell cycles) - The number of win scoops (gain sales) - The total dollars gained in win scoops - The number of loss scoops (loss sales) - The total dollars lost in loss scoops - 90-day yield/dollars

24. STOCKUP Stock Picking - Dynamic Tester The pool of stocks is now reduced by including only those stocks with: Ý90-day yield of at least $1,000 Ý# of win scoops greater than or equal to # of loss scoops ÝTotal dollars gained at least double the total dollars lost $These remaining stocks are now called the 'Class A' stocks.

25. ÝGo back 150 days and assume that is ‘todays date’ Ý For each day from (‘todays date’ - 360) to ‘todays date’ Ý Do complete backtesting and simulation Ý Simulate doing the STOCKUP recommended action. Ý Next day ÝRepeat the same test for 149 days ago, 148 days ago, on through yesterday -- each day simulating doing the recommended STOCKUP action. STOCKUP Stock Picking - Dynamic Tester The Dynamic Tester then determines what STOCKUP's decision would have been for each of the Class A stocks for each day from 150 days ago through yesterday.

26. STOCKUP Stock Picking - Dynamic Tester The results of the Dynamic Tester for the Class A stocks are: - The number of scoops (buy/sell cycles) - The number of win scoops (gain sales) - The total dollars gained in win scoops - The number of loss scoops (loss sales) - The total dollars lost in loss scoops - 150-day yield/dollars

27. STOCKUP Stock Picking The pool of Class A stocks is further reduced by including only those stocks with: Ý150-day yield must be greater than the 90-day yield Ý# of win scoops greater than or equal to (# loss scoops - 1) ÝTotal dollars gained at least double the total dollars lost $Remaining pool contains 30+ ’Star Class' stocks.

28. Star Class stocks: $ STOCKUP is most successful in predicting price movement $ Consistently higher yields! STOCKUP Stock Picking

29. $ Generates 570 graphs for each stock, each graph containing 360 days data. The Technology:

30. $Generates 570 graphs for each stock, each graph containing 360 days data. $Stock Picking/Tester currently runs every 3 months 600 stocks x 90 days x 570 graphs = 30,780,000 graphs Resulting in the Star Class stocks The Technology

31. $Generates 570 graphs for each stock, each graph containing 360 days data. $Stock Picking/Tester currently runs every 3 months 600 stocks x 90 days x 570 graphs = 30,780,000 graphs Resulting in the Star Class stocks $Every 30 minutes: 30 Star class stocks x 570 graphs = 17,100 graphs + 600 addt’l S&P & web stocks x 570 graphs = 342,000 graphs total every 30 minutes = 359,100 graphs The Technology