This course is composed of three mini-courses:
- Mini-course 1: Manipulating Financial Data in Python
- Mini-course 2: Computational Investing
- Mini-course 3: Machine Learning Algorithms for Trading
Course Description: After reviewing tools from probability, statistics, and elementary differential and partial differential equations, concepts such as hedging, arbitrage, Puts, Calls, the design of portfolios, the derivation and solution of the Blac-Scholes, and other equations are discussed.
Required attribution: Saari, Donald. Math 176 (UCI Open: University of California, Irvine), http://open.uci.edu/courses/math_176_math_of_finance.html. [Access date]. License: Creative Commons Attribution-ShareAlike 4.0 United States License.