GitHub / chutrunganh / Stock-Price-Prediction-Using-Time-Series
This repository focuses on predicting Apple Inc.'s stock prices using time series analysis from 2013 to 2018. The project involves data exploration, stationarity analysis, time series decomposition, model development, and generating insights to assist investors.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chutrunganh%2FStock-Price-Prediction-Using-Time-Series
PURL: pkg:github/chutrunganh/Stock-Price-Prediction-Using-Time-Series
Stars: 3
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 21.4 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 6 months ago
Pushed at: about 1 year ago
Last synced at: about 2 months ago
Topics: aapl, ar-model, arima, auto-regressive-model, hust, it2022, it2022e, moving-average, moving-averages, nasdaq-stocks, prophet, stock-market, stock-price-prediction, time-series, time-series-analysis