brodyu/predicting-earnings-surprises
Analysis of financial earnings data and forecasting earnings surprises utilizing machine learning.
This project helps financial traders and analysts predict whether a company's upcoming earnings report will be significantly better or worse than expected. It takes historical earnings, stock pricing, and technical data as input, and outputs a forecast for earnings surprises, which can then inform potential trading strategies. The target users are quantitative traders, portfolio managers, or financial analysts looking to anticipate market movements around earnings announcements.
No commits in the last 6 months.
Use this if you are a quantitative trader or analyst who wants to use machine learning to forecast significant earnings surprises and develop a trading strategy around these events.
Not ideal if you are looking for a plug-and-play trading bot or a tool that incorporates fundamental analysis beyond basic financial metrics.
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Last pushed
Feb 28, 2022
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