Learn by Doing


Who are we?

We're a student-run organization at the University of Michigan using real money to trade in the dynamic cryptocurrency market. We are dedicated to learning about cryptocurrencies, blockchain, and trading. Our team consists of undergraduates from a variety of backgrounds including Business, Computer Science, Data Science, Economics, and Engineering.

What do we do?

We've partnered with Michigan FinTech to deliver an unparalleled, action-based learning experience for our members. Our goal is to learn about cryptocurrencies and blockchain technology through trading and group discussion. Each member will have access to $1,000 from our fund. Members have full control over how to invest their capital in cryptocurrencies, and will report progress and learnings to the rest of the group.

There are three workstreams that contribute to our education.

  • Trading: Using a crypto exchange we trade Bitcoin, Ethereum, Litecoin, Ripple, Dash, Neo, and hundreds of alternative coins. We learn faster by sharing successes and failures with one another. 
  • Discussion: We meet weekly for book-club style conversations about an article, book chapter, video or podcast. Members rotate picking the topic, information source (article, book chapter, etc.) and lead the discussion. Once a month, these meetings are open to the University of Michigan community.
  • Community: We build community at the University of Michigan by asking professors, industry experts, and individual investors to join our discussions.

Action-Based Learning

Not every lesson you learn is found within the pages of a book or the walls of a classroom. Some of the most important lessons — the toughest ones, the ones that keep you awake at night and make you want to get up in the morning — are learned by being directly involved and personally invested. We call it action-based learning.

Great minds discuss ideas; average minds discuss events; small minds discuss people.
— Eleanor Roosevelt

We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.
— Roy Amara
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