A 50% crash in stock
markets may happen soon?
2009-09-23 11:00:00
SAN FRANCISCO (Commodity Online): For all those who
are hooked to the belief that economic recovery is already underway or
is slated to happen soon may not welcome this news. The S&P,
Shanghai,BSE and all major stock indices in UK, USA and across the
globe may fall 50%, according to a professional financial model
based prediction now shared openly on Twitter.
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, a BAMInvestor press
release said.
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.
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.
To join the conversation and see today's model driven predictions,
visit: http://twitter.com/baminvestor. (Courtesy:
PRWeb)