Show Notes

Succeeding in stock market investing is all about timing – buying low, selling high and being able to read the signs to determine when things are going to change. But as anyone who’s ever tried to get rich through stock trading can tell you, this is easier said than done.

Given the massive amounts of financial data published each day, for people who aren’t experts in the field, it can be too hard to spot the patterns and keep up with the constant change. As a result, many people are either investing in markets based on guesswork or not investing at all.

This is where AI can help, because there’s nothing that AI does better than finding patterns in large volumes of data. AI has the potential to democratize access to investment insights.

In this episode, Andrew Einhorn joins Dr Genevieve Hayes to discuss how AI can help ordinary investors find better investment opportunities than they could ever manage on their own.

Guest Bio

Andrew Einhorn is the CEO and co-founder of Levelfields, an AI-driven fintech application that automates arduous investment research so investors can find opportunities faster and easier. Before moving into finance, Andrew started his career as an epidemiologist and helped build a pandemic monitoring system for Georgetown Hospital. He also previously co-founded tech company Synoptus, has consulted for NASA and served as an advisor to a $65 billion hedge fund.

Highlights

  • (00:06) Meet Andrew Einhorn
  • (02:54) Andrew’s journey from public health to data science
  • (07:55) The birth of Levelfields
  • (19:35) Event-driven investment insights explained
  • (26:22) AI and data science behind Levelfields
  • (36:36) User experience and customisation
  • (41:03) Future developments and final advice

Links

podcast cover art
Value Driven Data Science
Episode 45: AI-Powered Investment Insights
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