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Predicting stock with LSTM

Requirements

  • python 3.8
  • alpha_vantage
  • pandas
  • numpy
  • sklearn
  • keras
  • tensorflow
  • matplotlib
  • xlrd
  • requests

Setup project

Linix/MacOs

  1. Clone the repo or use command line
git clone https://github.com/quangkhoi1228/predicting_stock_with_LSTM.git
  1. Go to source code folder
cd parentDir/predicting_stock_with_LSTM
  1. Create runtime environment
pip3 install virtualenv
virtualenv envs
source envs/bin/activate
pip install -r requirements.txt --use-feature=2020-resolver

Window

Clone the repo or use command line

git clone https://github.com/quangkhoi1228/predicting_stock_with_LSTM.git
  1. Go to source code folder
cd parentDir\predicting_stock_with_LSTM
  1. Create runtime environment
pip3 install virtualenv
virtualenv envs
.\envs\Scripts\activate
pip install -r requirements.txt --use-feature=2020-resolver

Run custom stock symbol

  1. Open master_file.py and change stock symbol

  1. Run the python file to see the magic