Business Research Program
Crypto Assets: Fundamentals, Price History and Investing Strategies
Faculty Advisor: Research economist, Central Bank of Mexico
Program Introduction
In November 2021, the crypto market reached a value of 3 trillion, exceeding the market cap of Apple, the most valuable company in the world.
How did crypto come this far? Should you invest in them? In this program, students will learn the fundamentals, price history, and investing strategies for Bitcoin and other cryptocurrencies. In particular, they will understand What BTC is. Why does it have value? What are smart contracts? What is the price history of BTC and ETH? What are the risks associated with crypto assets? Students will also learn how to construct trading and investing strategies on crypto assets from the ground up.
Students will also learn general and subject-specific research and academic writing methods used in universities and scholarly publications and generate their own work products upon completion of the program.
(Disclaimer: This program is purely for educational purposes. It is not to give financial advice on personal financial investments.)
Possible Topics For Final Project:
Identify the past bull and bear cycles in crypto assets and some of their causes.
A brief history of NFTs. What are they? What are the most valuable ones? Why do they have value?
What are halving’s, and how do they influence prices?
Analyze a specific company building a decentralized application on Ethereum. What is the product they are making? What is their token useful for?
Analyze the token price and products the top crypto gaming companies offer.
Describe Decentralized Finance (Defi) in simple words and explain the most successful working Defi applications.
Or other topics in this subject area that you are interested in, and that your professor approves after discussing it with you
Program Detail
Cohort Size: 2-5 students
Duration: 12 weeks
Target Students: 9-12th grade students who are interested in applied math, finances, economics, statistics, actuarial sciences, data science and computer science.