The Village Global podcast takes you inside the world of venture capital and technology, featuring enlightening interviews with entrepreneurs, investors and tech industry leaders. Learn more at www.villageglobal.vc.
…
continue reading
Innhold levert av Mining Stock Education and Bill Powers. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mining Stock Education and Bill Powers eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!
Gå frakoblet med Player FM -appen!
How Geologist Aaron McMahon Uses A.I. to Identify Potential Mining Stock 10-Baggers
MP3•Episoder hjem
Manage episode 434181586 series 1445938
Innhold levert av Mining Stock Education and Bill Powers. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mining Stock Education and Bill Powers eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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 https://aaronmcm.com/ Sign up for our free newsletter and receive interview transcripts, stock profiles and investment ideas: http://eepurl.com/cHxJ39 Mining Stock Education (MSE) offers informational content based on available data but it does not constitute investment, tax, or legal advice. It may not be appropriate for all situations or objectives. Readers and listeners should seek professional advice, make independent investigations and assessments before investing. MSE does not guarantee the accuracy or completeness of its content and should not be solely relied upon for investment decisions. MSE and its owner may hold financial interests in the companies discussed and can trade such securities without notice. MSE is biased towards its advertising sponsors which make this platform possible. MSE is not liable for representations, warranties, or omissions in its content. By accessing MSE content, users agree that MSE and its affiliates bear no liability related to the information provided or the investment decisions you make. Full disclaimer: https://www.miningstockeducation.com/disclaimer/
…
continue reading
737 episoder
MP3•Episoder hjem
Manage episode 434181586 series 1445938
Innhold levert av Mining Stock Education and Bill Powers. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mining Stock Education and Bill Powers eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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 https://aaronmcm.com/ Sign up for our free newsletter and receive interview transcripts, stock profiles and investment ideas: http://eepurl.com/cHxJ39 Mining Stock Education (MSE) offers informational content based on available data but it does not constitute investment, tax, or legal advice. It may not be appropriate for all situations or objectives. Readers and listeners should seek professional advice, make independent investigations and assessments before investing. MSE does not guarantee the accuracy or completeness of its content and should not be solely relied upon for investment decisions. MSE and its owner may hold financial interests in the companies discussed and can trade such securities without notice. MSE is biased towards its advertising sponsors which make this platform possible. MSE is not liable for representations, warranties, or omissions in its content. By accessing MSE content, users agree that MSE and its affiliates bear no liability related to the information provided or the investment decisions you make. Full disclaimer: https://www.miningstockeducation.com/disclaimer/
…
continue reading
737 episoder
所有剧集
×Velkommen til Player FM!
Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.