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Stock Strategist Newsletter
All major credit cards are accepted, and when paid by credit card the price for a 3 month subscription is $210.00.
When paid by check the price for a 3 month subscription is $ 200.00. Subscriptions to the Schulenberg Stock Strategist (SSS) Newsletter may be obtained by mailing a check to:
Schulenberg and Associates, Inc.
P.O. Box 11997
Huntsville, AL 35814
If you send us an email when you put your check in the mail, then we will start your subscription that same day without waiting for the check to arrive and clear.
Our subscribers receive the following benefits:
1) A market Forecast for the next trading day -- usually emailed by midnight, Houston time.
2) A special email when we have signal changes for QQQQ, or the broader market.
3) Access to the daily Report Archive files (Note 1).
4) Occasional Tech Notes which provide deeper insight into our approach.
Note 1: The SS zip files require a password, and contain the most recent signals available for about 1500 stocks and ETFs, plus over 1,000 mutual funds. The SS zip files can also be found at the link http://www.schulenberg.com/download
The Schulenberg Factorization Suite: Freeware (available for download). This package includes the following:
RMTEST -- Rabin-Miller Primality Test program
FACTOR1 -- Ultra-fast complete factorization program by fast divisionFACTOR2 -- Pollard Rho factorization program (Brent algorithm)
FACTOR3 -- Multi-polynomial Quadratic Sieve (MPQS). Handles "hard" numbers of up to 100 digits
Our implementation of an Elliptic Curve Method (ECM) is nearing completion. This method will be an ideal complement for our current MPQS algorithm. We will also soon issue a modified version of our MPQS algorithm which will utilize the double-large-prime method, and which will handle hard numbers of up to 130 digits in size.
In the more distant future we hope to begin development of a Number Field Sieve (NFS) implementation.
EDES/Model vers. 2.12 -- Nonlinear mathematical modeling package (Empirical Data Expert System). EDES/Model is built around the use of a proprietary family of nonlinear transformations. A Neural Network model generator is also incorporated within the program so that an entire family of candidate nonlinear models can be automatically generated for a given set of empirical data. We utilize EDES/Model to generate the families of neural networks that we use within our Stock Strategist™ software.