Obviously, we would rather start by sharing good news with our followers, but when our BAM-EWS (early warning system) flashed the crash alert we knew we needed to get the information out to the people we're trying to protect. Some will obviously doubt this forecast, but the model worked correctly in identifying the 2008 crash and I'm confident it will perform well again during this call
San Francisco, CA (PRWEB) September 21, 2009
It might not seem welcome news, but the team at BAM Investor isn't in the business of mincing words, or in this case--"tweets." So when they committed to using Twitter as a new business communications platform, they also committed to publicly divulging the same unbiased, model-driven predictions that placed them at the top of the forecasting world during 2008. This week begins a month of free stock market predictions on Twitter (follow: BAMInvestor) and heralds the first time an institutional grade financial model has shared this information publicly in real-time.
BAM Investor's financial model has an uncanny record of calling specific, key market movements. When crude oil was trading rapidly up to an all-time high of $147 per barrel, BAM predicted a crash to $36 over the next 12-18 months; 8 months later, it crashed to exactly $36. When corn and wheat were trading near historic lows in 2007, BAM told investors to buy; the next year corn and wheat hit a 26 year high. When Ford was trading near this year's lowest point in February, BAM recommended a buy; it then called a sell in August for a 400% gain.
BAM is an acronym for the "Behavioral Analysis of Markets" model, which is used by institutional investors and hedge funds to formulate stock, commodity and currency predictions. Unlike traditional financial models, BAM is based on a deep, quantitative analysis of complex human behaviors and social movements.
"When compared to traditional Technical and Fundamental Analyses, Behavioral Analysis creates significant value due to its inherent predictive--instead of reactive--nature. This is the first time this new financial theory has been applied practically to stocks, commodities and currencies," said J.G. Savoldi, CEO BAM Investor. "BAM was developed over a 20 years process of studying human social behavior and how it affects specific market prices. And now we want to be the first to share our predictions on Twitter to help everyone--not just hedge funds--while putting our model to the ultimate test."
Traditionally available only to hedge fund managers and institutional investors, BAM Investor is the first to share key model-driven market predictions in real-time on Twitter for free for one month. To start receiving these stock market predictions in real-time, simply visit: http://twitter.com/baminvestor
"Obviously, we would rather start by sharing good news with our followers, but when our BAM-EWS (early warning system) flashed the crash alert we knew we needed to get the information out to the people we're trying to protect. Some will obviously doubt this forecast, but the model worked correctly in identifying the 2008 crash and I'm confident it will perform well again during this call," said Mr. Savoldi. "We're on a mission to help individual investors take back control of their portfolios by allowing them to take a 'peek behind the curtain' with respect to advanced institutional financial models."
So what specific catalysts might serve as the tipping point for the US stock market? Mr. Savoldi suggests keeping a close eye on China, the currency markets and H1N1 developments this month and next.
About BAM Investor (http://www.baminvestor.com):
BAM Investor is an unbiased, model driven market analysis and prediction service covering global macro markets used by institutional investors and hedge funds. BAMInvestor.com also provides individual investors with resources to get decisive investment and trading ideas based on quantitative human behavioral analysis. BAMInvestor.com also offers a live Model Portfolio that makes it easy for individual investors to mimic which Exchange Traded Funds (ETFs) they are invested in to take advantage of the opportunities the BAM model has identified.
Director of Marketing, BAM Investor