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This project aims to create a stock market prediction system utilizing historical data from the National Stock Exchange (NSE) of India. It leverages the NSEPython library to fetch stock data, performs data preprocessing and feature engineering, trains a machine learning model, and predicts the next day's stock prices for a given stock.

active 2024-01-25 → 2025-02-12 (UTC)

Complete coverage27,281 / 27,284 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-24 (UTC)
Events
6
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 385 days from 2024-01-25 to 2025-02-12. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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
shashankt12101

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.