https://github.com/aryanbalaji/timeanalysis
Conducted in-depth time series analysis on stock market data for major tech companies like Amazon, Google, Apple, and Microsoft. Utilized multivariable analysis to explore the inter-relationship between stock closing prices and daily % return, visualized findings using Seaborn library, and performed value at risk calculations for each company.
https://github.com/aryanbalaji/timeanalysis
glob matplotlib-pyplot numpy-python pairgrid pandas-dataframe plotly-python resampling rolling seaborn-heatmaps seaborn-pairplot
Last synced: 3 months ago
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Conducted in-depth time series analysis on stock market data for major tech companies like Amazon, Google, Apple, and Microsoft. Utilized multivariable analysis to explore the inter-relationship between stock closing prices and daily % return, visualized findings using Seaborn library, and performed value at risk calculations for each company.
- Host: GitHub
- URL: https://github.com/aryanbalaji/timeanalysis
- Owner: AryanBalaji
- Created: 2024-09-04T08:04:31.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-09-09T18:39:28.000Z (9 months ago)
- Last Synced: 2025-01-23T04:32:14.328Z (5 months ago)
- Topics: glob, matplotlib-pyplot, numpy-python, pairgrid, pandas-dataframe, plotly-python, resampling, rolling, seaborn-heatmaps, seaborn-pairplot
- Language: Jupyter Notebook
- Homepage:
- Size: 1.45 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 
Time Analysis
## Description
Conducted in-depth time series analysis on stock market data for major tech companies like Amazon, Google, Apple, and Microsoft.
Utilized multivariable analysis to explore the inter-relationship between stock closing prices and daily % return,
visualized findings using Seaborn library, and performed value at risk calculations for each company.
## Screenshots
## Tech Stack
