Specific Entry Point Analysis® -SEPA®

• Specific Entry Point Analysis® - SEPA® was developed by Mark Minervini.
• The methodology’s foundation is built upon historical precedent analysis of past stock market “SUPER PERFORMERS.”
• To determine what characteristics make a stock likely to advance significantly, historical models of top price performers are archived in our confidential database. These models are based upon sets of characteristics prevalent in exceptional winning stocks.

PATTERNS OF EXCELLENCE

• Our on-going efforts are focused on identifying in detail the characteristics of the most successful performers of the past to determine what makes a stock likely to outperform its peers in the future. Based on these attributes, current investment candidates can be compared and scrutinized for criteria in-line with our proprietary Leadership Profile®.
• The Leadership Profile® is a success blueprint and is the fundamental basis for our stock selection. The MPA Database is continually updated to account for market dynamics and new available data.
• The SEPA® model takes into account thousands of historic company profiles going back over many market cycles spanning numerous decades. In order to find rapidly growing companies with the ability to sustain above average appreciation, a unique combination of quantitative screening, fundamental research and qualitative analysis serve as core selection criteria for the SEPA® investment strategy.
• Additionally, the SEPA® ranking process scores each company based on earnings surprises, estimate revisions and company issued guidance in order to determine the probability for future price performance catalysts. A unique component of the SEPA® process is a focus on “where” a stock is within its earnings maturation cycle.
• Each day, our computers systematically analyze thousands of stocks for specific data items using a proprietary series of absolute, relative and time dimension calculations. The extensive fundamental research ranks each investment candidate for probable earnings surprise.
• Specific Entry Point Analysis® focuses on identifying, company-by-company, the precursors of inefficient pricing in order to distinguish appropriate entry points. Utilizing SEPA®, stocks displaying the potential for significant price appreciation are identified and pinpointed. While nothing is perfect, our proven SEPA® Technology consistently highlights many of the best investment ideas and stock market leaders before they’re widely recognized by Wall Street.

The SEPA® screening process can be summarized as follows:

1. Stocks are screened through a series of "filters" based on earnings, sales, profit margins, relative price performance and price trend characteristics. Approximately 95% of all stocks in the market are eliminated in this first screen leaving roughly 1,000 initial contenders.
2. These remaining stocks are scrutinized and ranked for similarity to a proprietary Leadership Profile® in-line with specific fundamental and technical factors exhibited by historic models. This second stage of qualifiers removes most of the remaining companies, leaving a narrowed list of investment ideas for further review and evaluation.

3. The final stage is a comprehensive manual review. The narrowed list of candidates are examined individually and scored according to a “relative prioritizing” ranking process which considers the following characteristics:

• Reported earnings and sales
• Earnings surprise history
• EPS and sales acceleration
• Company issued guidance
• Earnings estimate revisions
• Profit margins (historic & projected)
• Industry and market position
• Potential "catalysts" (new products, services or industry changes)
• Performance compared to other stocks in same sector
• Price momentum, price trend and trading volume analysis
• Liquidity

The SEPA® ranking process is focused on identifying three key elements:

1. The potential for future earnings and sales surprises
2. The potential for institutional volume support
3. The potential for rapid price appreciation based on a supply/demand imbalance

Summary of the SEPA® Process

HISTORICAL PRECEDENT ANALYSIS
-Study of the best performing stocks over each market cycle
-Characteristics defined and archived in our database
-Blueprint is constructed based on attributes of winners

COMPUTER SURVEILLANCE
-Computers screen 8,000+ stocks daily
-Narrows down the top 1%
-Companies displaying specific characteristics are identified

LEADERSHIP PROFILING
-Data is compared to all stocks
-Results are compared to a Leadership Profile®
-Profile is continually updated to reflect new information

RANKING AND SELECTION
-Candidates are monitored for specific criteria convergence
-Catalyst such as earnings surprise, company issued guidance
-Entry point defined based on risk/reward