Warren - Stock Price Predictor

Overview

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.

We make use of Facebook's Time Series forcasting algorithm Prophet to predict stock market price of US based companies in real time using multi-variate, single step forecasting strategy.

Header

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

If you like the work I do, show your appreciation by 'FORK', 'STAR' and 'SHARE'.

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Owner
Kumar Nityan Suman
Senior Data Scientist, AI Researcher. Machine Learning and Deep Learning with Python.
Kumar Nityan Suman
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