JG Savoldi
JG Savoldi is a financial market forecaster known for his proprietary Behavioral Analysis of Markets Model and the global, macro market forecasts that it generates. The model predicts future price movements in human traded markets through the study of market participants' emotional responses during periods of high emotion and "capitulation." Savoldi utilizes the BAM Model to generate stock forecasts, currency forecasts, and commodity forecasts for institutional, hedge fund and individual investors via subscription-based services. Prior to launching The BAM Investor, he worked as a prop trader at Standard Pacific Capital-- a San Francisco hedge fund w/ over 5b AUM at the time.
JG Savoldi Professional Experience / Academic History
Professional Experience
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Chief Executive Officer, Developer
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National Account Manager
Academic History
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Bachelor of Science, Criminal Justice, Law
The BAM Model is an entirely new investment theory based on "behavioral analysis" and his discovery of “fractal capitulations".
The Model has been in development since 1989 and is fast becoming a worldwide leader in forecasting excellence.
It specializes in forecasting the S&P 500, bonds, the US Dollar, gold, crude oil and Bitcoin, as well as corresponding 3x ETFs and individual stocks.
JG's model successfully forecast the 2007 TOP and 2008-2009 collapse with specific sector detail and is credited with forecasting and profiting from some of the most unexpected, unpredictable price moves in modern history.
The BAM Investor is the product of JG Savoldi's research that tackes the psychology of actual market participants and how their present moods control market price movement.
It utlizes the BAM model, which captures fractal-level data footprints created during these periods of elevated emotion and uses that data to predict future turning points as well as periods of strengths and weaknesses.
MORE ABOUT SAVOLDI
Building on the idea of fractal capitulations, Savoldi then created the BAM-VI, (Velocity Indicator) BAM Magnets, (proprietary price level objectives) as well as a method for predicting future zones of strength and weakness to create the 'BAM' Model or "Behavioral Analysis of Markets" model.
He was hired by a multi-billion dollar hedge fund in San Francisco California where he used his model to predict the top of the housing bubble in 2005.
He is credited with predicting the December 2018 Bitcoin melt up and crash through real-time Bitcoin Forecasts and Bitcoin Investing updates on Linkedin.