/warren

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Warren - Stock Price Predictor

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Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient-market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess myriad methods and technologies which purportedly allow them to gain future price information. Here we make use of Facebook's Time Series forcasting algorithm Prophet to predict stock market price of US based companies in real teim using multi-variate, single step forecasting strategy.

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Getting started

Download or clone project from github

$ git clone https://github.com/nityansuman/warren.git

Create a project environment (Anaconda recommended)

$ conda create --name envname python
$ conda activate envname

Install prerequisites

$ pip install -r REQUIREMENTS.txt

Run project

$ cd warren

$ python runserver.py

Model Validation Analysis

Facebook (Stock: FB) Validation FB_validation

Microsoft (Stock: MSFT) Validation MSFT_validation

Google (Stock: GOOGL) Validation GOOGLE_validation

Support

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Open to all types of collaboration. Feel free to raise a PR.

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