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The goal of this project is to predict future stock prices of the S&P 500 index using machine learning models, particularly focusing on time series forecasting. We will use historical stock data, analyze trends, and implement models like Facebook Prophet, ARIMA, or LSTM to make predictions.

active 2024-09-282024-09-28 (UTC)

Complete coverage27,191 / 27,193 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
4
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-09-28 to 2024-09-28. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
StephenOke2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.