Jim Savoldi, a BAM Investor, predicts the Real Estate Market
What is BAM (Behavioral Analysis Model)?
The Behavioral Analysis Model was developed over a thirty year period by JG Savoldi. 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."
These periods of elevated emotion and capitulation are the result of market participants' natural "mood swings" between optimism and pessimism—which are intrinsically driven by greed and fear—and the outcome is an emotional turning point commonly referred to as a “price reversal.” Once the key emotional response triggers a start point, the model then calculates a "count" from which subsequent consecutive higher or lower price moves dictate an eventual predicted reversal point. The model is continually tracking each individual bull and bear market within multiple fractal time frames. These time frames are typically based on price bar data including but not exclusive to monthly, weekly, daily, 618 min, 420 min, 240 min, 120 min, 60 min. 30 min, 20 min, 10 min, 5 min, 1 min, 30 sec, 15 sec, and 25 tick bars.

In this podcast, we explore how Jim discovered his Behavioral Analysis of Markets model and how he’s used it to predict some of the most dramatic shifts in the financial markets. I also ask Jim to share how we, as real estate investors, can use the model to predict and determine trends and direction of macro and micro real estate markets. We get in the weeds a little bit on how the model works and how he uses it to notify his subscribers of major shifts in the markets, including time stamps and price targets of specific ETFs. More about Jim and his companies can be found at… https://www.apterminal.com/ and https://baminvestor.com/.
Please enjoy!
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