Geologist Aaron McMahon explains how A.I. can help identify potential mining stock 10-baggers in this MSE episode. He reveals his competitive advantage in finding potential outsized opportunities in early-stage exploration mining stocks. Aaron reviews the reasons for common modeling errors in mineral resource estimation. Furthermore, he also shares how retail investors can learn to invest like a fund.

Aaron McMahon is a geologist and an international mining investment professional who uses technology and science to increase the speed and quality of investment decisions. He consults high net worth investors, funds and institutions by providing high-quality mineral economic analysis for drill-stage gold and copper companies.

0:00 Intro
1:12 Aaron’s background
4:42 Resource Estimation
8:29 Modeling errors in resource estimation
11:32 Aaron’s competitive edge with early-stage projects
14:00 Invest pre or post drilling?
15:40 People vs Project?
20:05 Metal Preference?
21:10 How to invest like a fund
32:49 Express DCF
38:39 AI Assisted Investor Tools

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