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BAM Investor

BAM Investor

29K
Subscribers count
995.09K
Views count
169
Uploads
US
Country

YouTube Channel Stats & Analytics History for BAM Investor

Weekly gained views for the last 12 weeks

Weekly gained subscribers for the last 12 weeks

Statistics summary for YouTube channel BAM Investor

Date Views Estimated earnings Subscribers Uploads
2025-11-28 Fri 995.01K 29K 169
2025-11-29 Sat +2 995.01K 29K 169
2025-11-30 Sun +3 995.01K 29K 169
2025-12-01 Mon +4 995.02K 29K 169
2025-12-02 Tue +4 995.02K 29K 169
2025-12-03 Wed 995.02K 29K 169
2025-12-04 Thu +1 995.02K 29K 169
2025-12-05 Fri +6 995.03K 29K 169
2025-12-06 Sat +7 995.03K 29K 169
2025-12-07 Sun 995.03K 29K 169
2025-12-08 Mon +1 995.04K 29K 169
2025-12-09 Tue +1 995.04K 29K 169
2025-12-10 Wed +3 995.04K 29K 169
2025-12-11 Thu 995.04K 29K 169
2025-12-12 Fri +1 995.04K 29K 169
2025-12-13 Sat +2 995.04K 29K 169
2025-12-14 Sun +3 995.05K 29K 169
2025-12-15 Mon +5 995.05K 29K 169
2025-12-16 Tue +1 995.05K 29K 169
2025-12-17 Wed +9 995.06K 29K 169
2025-12-18 Thu +11 995.07K 29K 169
2025-12-19 Fri 995.07K 29K 169
2025-12-20 Sat +3 995.07K 29K 169
2025-12-21 Sun +2 995.08K 29K 169
2025-12-22 Mon +3 995.08K 29K 169
2025-12-23 Tue +3 995.08K 29K 169
2025-12-24 Wed +5 995.09K 29K 169
2025-12-25 Thu +1 995.09K 29K 169
2025-12-26 Fri 995.09K 29K 169
2025-12-27 Sat LIVE +1 995.09K 29K 169
Gained views Estimated earnings Gained subscribers
Daily Averages +2
Last 30 days +82
Last updated at 2025-12-27

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About BAM Investor

Jim Savoldi - Creator of The "BAM" investing 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.