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A complete all-in-one stock bot to fetch and store incremental day on day BSE data, build models and predict future prices and assess financials of a security. Create multiple watchlists, refresh data, run models and suggest best companies to buy/sell in a watchlist

Makefile 1.17% Python 98.83%

stock-analyzer's Introduction

Stock Analyzer

The project can be used for buiding personal trading stategy and to follow the trend of certain stocks/companies that you usually add in your watchlist in trading platforms. It is aimed to solve the following use cases:

  • Load historical data incrementally so that you can analyze offline without the need to pull data every time you want to build a model
  • Build models using algorithms like Regression, Neural Networks(LSTM), Ensemble of more than 1 type of models, etc to predict future values of a company. Analyze its trend and build statistics which helps you decide the time and price of when you can buy the stock if it's good enough
  • Get the finanicals of a company in one go and display the summarised results of selected metrics which you usually use to check if a company is worth investing. This is to help you understand and pick stocks which have good balance sheets, cash flows, ratios, share holding pattern, etc.

Tech stack used:

  • Django(Python) server to build APIs through which data can be loaded into the db, build models, visualize results, etc.
  • Mysql database to store historical data
  • Quandl as data source to extract incremental data

Installation steps:

Run the following commands

make venv

Steps to start the server

make install

source .venv/bin/activate

make run env=local


stock-analyzer's People

Contributors

deepakjayaprakash avatar

Watchers

James Cloos avatar

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