https://github.com/Vaibhav/Stock-Analysis

Regression, Scrapers, and Visualization
https://github.com/Vaibhav/Stock-Analysis

hacktoberfest hacktoberfest2020 linear-regression prediction sentiment-analysis stock-analysis stock-prices stocks svm visualization

Last synced: 23 days ago
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Regression, Scrapers, and Visualization

• Host: GitHub
• URL: https://github.com/Vaibhav/Stock-Analysis
• Owner: Vaibhav
• License: mit
• Created: 2016-07-10T04:37:13.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2023-07-06T21:24:22.000Z (almost 3 years ago)
• Last Synced: 2026-03-01T16:36:52.170Z (3 months ago)
• Topics: hacktoberfest, hacktoberfest2020, linear-regression, prediction, sentiment-analysis, stock-analysis, stock-prices, stocks, svm, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 11.3 MB
• Stars: 395
• Watchers: 30
• Forks: 103
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codeowners: CODEOWNERS

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README

          
# Stock Analysis

This repository contains python scripts that I am devleoping to perform analysis on stock prices and visualization of stock prices and other data such as volume.

Some of the goals I want to achieve with this project include:

  - Get the data I need from Yahoo Finance or other API. Able to specify what I need and the time range.

  - Different regression implementations on the close price data. (Linear, SVM, etc.) Possibly try to fit a polynomial function which follows the data.

  - Predicting Stock price for the next day.

## Trends

TrendLine.py Results

![trendy](readme/figure_1.png)

![trendy](readme/figure_1-1.png)

![trendy](readme/figure_1-3.png)

![trendy](readme/figure_1-4.png)

## Regression

Using my code for linear regression and Nvidia's (NVDA) stock prices of each day. I got a slope of 0.1850399032986727 and a y intercept of 24.54867003005582. The 50.08 number is the price predicted for the next day based on the linear formula it calculated.

```python

[0.1850399032986727, 24.54867003005582]

50.0841766853

```

### Screenshots

![Linear Regression performed on NVDA Stock data from January 2016](/Regression/NVDA2016.png)

#### New Screenshots

#### AEIS

![AEIS February 20](readme/AEIS-feb20.png)

#### FB

![Facebook February 20](readme/FB-feb20.png)

## Version

1.0.0 - Released Stock Scraper

1.0.1 - Minor bug fixes with duplicate entries in the CSV File

### Todo

- [ ] Use Machine Learning algorithms to predict stock close price for the next day

- [ ] Add data visualization with technical indicators such as moving average, volume, STOCH.

- [ ] Add Stock screener, to screen through every stock and see which ones are best buys.

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=Vaibhav/Stock-Analysis&type=Date)](https://star-history.com/#Vaibhav/Stock-Analysis&Date)

#### License

MIT

**Free Software, Hell Yeah!**