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BAM Investor

BAM Investor

29.2K
Subscribers count
991.53K
Views count
167
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
2025-08-04 Mon +37 988.81K 29.2K 166
2025-08-05 Tue +16 988.83K 29.2K 166
2025-08-06 Wed +6 988.84K 29.2K 166
2025-08-07 Thu +4 988.84K 29.2K +1 167
2025-08-08 Fri +1.57K 990.41K 29.2K 167
2025-08-09 Sat +532 990.94K 29.2K 167
2025-08-10 Sun +147 991.08K 29.2K 167
2025-08-11 Mon +176 991.26K 29.2K 167
2025-08-12 Tue +86 991.35K 29.2K 167
2025-08-13 Wed +38 991.38K 29.2K 167
2025-08-14 Thu +15 991.4K 29.2K 167
2025-08-15 Fri +12 991.41K 29.2K 167
2025-08-16 Sat +5 991.42K 29.2K 167
2025-08-17 Sun +6 991.42K 29.2K 167
2025-08-18 Mon +10 991.43K 29.2K 167
2025-08-19 Tue +7 991.44K 29.2K 167
2025-08-20 Wed +9 991.45K 29.2K 167
2025-08-21 Thu +5 991.45K 29.2K 167
2025-08-22 Fri +11 991.46K 29.2K 167
2025-08-23 Sat +5 991.47K 29.2K 167
2025-08-24 Sun +12 991.48K 29.2K 167
2025-08-25 Mon +8 991.49K 29.2K 167
2025-08-26 Tue +3 991.49K 29.2K 167
2025-08-27 Wed +10 991.5K 29.2K 167
2025-08-28 Thu +3 991.51K 29.2K 167
2025-08-29 Fri +7 991.51K 29.2K 167
2025-08-30 Sat +5 991.52K 29.2K 167
2025-08-31 Sun +4 991.52K 29.2K 167
2025-09-01 Mon +5 991.53K 29.2K 167
2025-09-02 Tue LIVE +2 991.53K 29.2K 167
Gained views Estimated earnings Gained subscribers
Daily Averages +88
Last 30 days +2.75K $1
Last updated at 2025-09-02

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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.