Due to the crackdown on public APIs, the data provided by this wrapper is no longer reliable. I apologize for the inconveninence.

StockTracker

Introduction

This Stock market library utilizes both static and class system architecture to provide a streamlined stock market analysis experience.

No API key is needed, all data is 100% free and accessible from yahoo finance and robin_hood's free API.

Installation

Setup is simple, simply type

pip install --upgrade stock_wrapper #####note: this package is constantly updated so use --upgrade to fetch the latest results!

If you wish to use the source code simply download this repository, its free forever, I promise

What packages are used?

• direct portfolio manipulation
  • robin_stocks (robinhood: requires account)
    • market buy/sell
    • limit buy/sell
• stock market data gathering
  • robin_stocks (robinhood)
  • yfinance (yahoo finance)

Getting Started

Complete example is under Examples/example.py

Most of the data manipulation is based off the <stock_wrapper.Stock> object.

Note: The package is constantly being updated,

We will be using the S&P 500 Index as an example

from stock_wrapper import Stock 
snp = Stock('SPY')

Stock_Wrapper

high_price = snp.high
low_price = snp.low

Other properties include open, close, market_cap, history, etc.

Visualization

from stock_wrapper import visualize
from stock_wrapper import Stock

Place your stock object inside brackets, as of now, visualization methods take in a list of Stock objects

snp = Stock('SPY')
visualize.graph_trendline_analysis([snp])
visualize.graph_candlestick_analysis([snp])

The graphing might take a couple seconds since it's loading years and years of data and calculating various moving averages

If you want to graph multiple stocks, its best to group them like so as this streamlines the data loading process

microsoft = Stock('MSFT')
visualize.graph_trendline_analysis([snp, microsoft])