Stock Prediction Using LSTM

Dataset(s) used

• Kaggle: S&P500 & Nasdaq price (1986-2024)

Report

Our report, written in IEEE style

Objectives

• Stock price prediction: using historical data to predict future stock price
• Trading bot: develop trading algorithm using technical analysis (buy/sell/etc)
• Short interest ratio: calculate short interest rate to help predict future stock price?
• Visualization of data: Graphs of various trends, box plots for outliers, bar graphs, direct comparison for certain variables, etc.
• Find and analyze correlation with (in)famous historical events? (ex: Great depression, 2008 Lehman brothers, WWII, 1971 Intel’s single chip microprocessor invention, COVID, 9/11, airplane crashes)

How to use

• python -m venv myenv (make a fresh virtual enviornment)
• pip install -r requirements.txt (to download dependencies onto venv)
  • reference: https://stackoverflow.com/questions/51863155/do-we-need-to-upload-virtual-env-on-github-too
• python -m flask run

Contributers

Sean Chen

Kazuya Okamoto

Minji Yun