Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2023 DATA SCIENCE BOOT CAMP
Roman Holowinsky, PhD
JUNE 07, 2023
Sailun Zhan, Xinwu Yang, Aolong Li, Amin Idelhaj, Zongze Liu
The objective of this project is to predict the short-term high and low prices of the SPY ETF, leveraging historical price data and technical indicators. Using high-frequency 1-minute interval data from AlphaVantage, we will employ machine learning and time-series analysis techniques (e.g. LSTM) to process prior price movements and technical indicators like moving averages. The goal is to create a versatile model capable of providing accurate short-term price forecasts to aid investment decision-making, with the understanding that financial market predictions inherently carry a degree of uncertainty due to various unpredictable factors.