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Are you looking for a simple investment strategy that beats more than 90% of all mutual funds and investment newsletters?

It takes as little as 15 minutes a month to get these results using the AI Stock Forecast

The AI Stock Forecast is a stock research report that is published on this website between the 7th and 14th of each month. Each month, our computer models use artificial intelligence technologies and fundamental data to analyze the market from the top-down. We present two investment systems, one using mutual funds, and one using stocks.

 

For every $10,000 invested on January 10, 1992, our smart computer's stock picks would have given you $129,491 by June 7, 2013 versus only $39,190 if you had been invested in the S&P 500 stock index.

 

 

You could be a lot richer or a lot poorer in a year depending on which stock market industries you invest in.

 

Our methods help you to find the best industries.

 

Best and Worst Industries Since 1993

Year

BEST PERFORMING INDUSTRY

WORST PERFORMING INDUSTRY

2012 Home Construction
+79%
Coal
-32%
2011 Pipelines
+50%
Platinum & Precious Metals
-52%
2010 Platinum & Precious Metals
+78%
Tires
-8%
2009 Travel & Tourism
+189%
Mortgage Finance
-15.4%
2008 Brewers
+22%
Full Line Insurance
-94%
2007 Heavy Construction
+92%
Home Construction
-56%
2006 Steel
+61%
Home Construction
-21%
2005 Coal
+76%
Automobile Mfg
-39%
2004

Mining, Diversified

+87%

Semiconductors

-22%

2003

Mining, Diversified

+168 %

Fixed Communications

-3 %

2002

Precious Metals

+32 %

Pipelines

-62 %

2001

Coal

+75 %

Natural Gas

-69 %

2000

Home Construction

+95 %

Consumer Services

-66 %

1999

Industrial Technology

+168 %

Tobacco

-54 %

1998

Communications Tech

+101 %

Oil Drilling

-58 %

1997

Investment Services

+76 %

Footwear

-32 %

1996

Oil Drilling

+109 %

Publishing

-20 %

1995

Biotechnology

+82 %

Trucking

-14 %

1994

Retail, Drug Based

+36 %

Home Construction

-31 %

1993

Lodging

+64 %

Footwear

-31 %

 

Astonishing Results

To investigate how well our forecasting methods perform over long periods of time, we back-tested our industry group forecasting model from 1965 to the present. The test assumed that you made a one-time investment of $10,000 on January 1, 1965 in the stocks of the top 10 ranked industry groups and made no changes for the rest of the year, then repositioned your investments into the top 10 ranked industries on January 10 of each following year. Doing this, you would have turned that original investment of $10,000 into $1,906,822 by January 4, 2013. As the chart below shows, over the same period, investing that same $10,000 in the "average stock" as represented by the S&P 500, would have returned only $167,060

No doubt, even greater investment profits would have been realized if the model portfolio had been rebalanced once-a-month instead of only once-a-year.

 


 

 

 

 

 

Verification
Since January 1, 2000, the Hulbert Financial Digest has been independently tracking our performance along with 183 other investment newsletters.

As of December 2010, the AI Stock Forecast is beating 80% of all investment newsletters that have been in existence for more than 5 years. (based on overall total returns vs. the market).

 

 

 

 

 

Stock Research
Our stock research provides you with the tools you need to make smart investment decisions.

 

 

 

 

 

How We Do It
Our "Top-Down" forecasting methods are very powerful. First, we use artificial intelligence technologies to evaluate 100 different stock market industries to find the ones with the best profit potential. Then, we use another set of artificial intelligence codes to scan a database of more than 7000 stocks, looking for those most likely to produce big gains over the next 12 months. Once we find the best stocks in the best industries, we provide the information to you in a clear and concise report complete with buy, hold and sell ratings.

 

 

 

 
Back Testing
The back testing procedures that we use are meticulously scrutinized to ensure that the artificial intelligence program has no unfair advantages. The computer model makes each forecast using only economic data that is available at that point in time. No optimization techniques were used to artificially boost results.

 

 
Using Artificial Intelligence for Stocks
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