Vaibhav / Stock-Analysis

Regression, Scrapers, and Visualization

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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

trendy

trendy

trendy

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.

[0.1850399032986727, 24.54867003005582]
50.0841766853

Screenshots

Linear Regression performed on NVDA Stock data from January 2016

New Screenshots

AEIS

AEIS February 20

FB

Facebook February 20

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

License

MIT

Free Software, Hell Yeah!

About

Regression, Scrapers, and Visualization

License:MIT License


Languages

Language:Jupyter Notebook 94.3%Language:Python 5.7%