BAM Investor

BAM Investor — YouTube Channel Statistics

28.7K
Subscribers count
1.01M
Views count
176
Uploads
US
Country

Subscriber & View Count History for BAM Investor

Weekly gained views for the last 12 weeks

Weekly gained subscribers for the last 12 weeks

Statistics summary for BAM Investor

Date Views Gained Total Views Est. Earnings Subs Gained Total Subscribers New Uploads Total Uploads
2026-05-18 Mon +65 1M 28.7K 174
2026-05-19 Tue +81 1M 28.7K 174
2026-05-20 Wed +5 1M 28.7K 174
2026-05-21 Thu +19 1M 28.7K 174
2026-05-22 Fri +25 1M 28.7K 174
2026-05-23 Sat -81 1M 28.7K 174
2026-05-24 Sun +6 1M 28.7K 174
2026-05-25 Mon +29 1M 28.7K +1 175
2026-05-26 Tue +1.52K 1.01M 28.7K 175
2026-05-27 Wed +407 1.01M 28.7K 175
2026-05-28 Thu +125 1.01M 28.7K 175
2026-05-29 Fri +46 1.01M 28.7K 175
2026-05-30 Sat +29 1.01M 28.7K 175
2026-05-31 Sun +25 1.01M 28.7K 175
2026-06-01 Mon +27 1.01M 28.7K 175
2026-06-02 Tue +22 1.01M 28.7K 175
2026-06-03 Wed +26 1.01M 28.7K 175
2026-06-04 Thu +19 1.01M 28.7K 175
2026-06-05 Fri +16 1.01M 28.7K 175
2026-06-06 Sat +157 1.01M 28.7K 175
2026-06-07 Sun +26 1.01M 28.7K +1 176
2026-06-08 Mon +1.13K 1.01M 28.7K 176
2026-06-09 Tue +258 1.01M 28.7K 176
2026-06-10 Wed +84 1.01M 28.7K 176
2026-06-11 Thu +46 1.01M 28.7K 176
2026-06-12 Fri +32 1.01M 28.7K 176
2026-06-13 Sat +42 1.01M 28.7K 176
2026-06-14 Sun +37 1.01M 28.7K 176
2026-06-15 Mon +14 1.01M 28.7K 176
2026-06-16 Tue LIVE +12 1.01M 28.7K 176
Daily averages +136
Last 30 weeks total +4.24K $1
Last updated 2026-06-16

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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.