Bollinger Band Trading Strategies for Foreign Exchange
Finance & Banking
Project Type:
Data Science/Business Analytics
Project Sponsor:
Corporate Investment Banking Company
Students worked on trading strategies for foreign exchange. They collected data from Bloomberg about currencies, and worked on developing a process around Bollinger Bands (ranges of values around moving averages). The interaction between the observed exchange rate and the upper/lower bands led to rules for buying and selling. Students then back-tested the methods to show performance under different hyperparameters.
Keywords: Investment Strategies, Algorithmic Trading
Spring 2021
Faculty Lead
Christopher Policastro
Industry Assistant Professor