README.md

Stock Price Data - Downloader and Deep Learning

This repository delivers all required parts for Deep Learning on Stock Data

Stock data management

• Stock data downloader
• Stock data visualization with Streamlit
• Stock data handling on local *.csv files

Prerequisites

Create a virtual environment and install required packages

virtualenv venv
pip install -r requirements.txt

Get your API-Key from Alphavantage

Go to Alpha Vantage and create your API-KEY.

Set the API-Key as environment variable:

export API_KEY="YourAPIKey"

Usage:

• streamlit run download_stock_data.py
• Select the stocks that should be downloaded and visualized
• There already is a huge list of stock symbols that can be easily extended

You should see the following page in your browser:

Google Trends data

• Downloader for Google Trends
• Interactive Google Trends visualization with Streamlit
• Google Trends data handling on local *.csv files

Usage:

• streamlit run download_google_trends.py
• Select the stocks for which the trend should be downloaded and visualized
• There already is a huge list of stock symbols that can be easily extended

Deep Learning with fast.ai

With stock data and google trend data downloaded in the previous steps, you can now train a deep neural network for a specific stock.

Usage:

• streamlit run train_lstm_model.py

Based on Stock-Data and Google-Trend-Data a neural network (customized LSTM) is trained to predict future stock prices.