https://github.com/merklefruit/stock-price-prediction-with-rnn

Stock price prediction implemented with Flask, tensorflow 2.0 using LSTM RNN.
https://github.com/merklefruit/stock-price-prediction-with-rnn

deep-learning lstm-neural-networks python tensorflow2

Last synced: 2 months ago
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Stock price prediction implemented with Flask, tensorflow 2.0 using LSTM RNN.

• Host: GitHub
• URL: https://github.com/merklefruit/stock-price-prediction-with-rnn
• Owner: merklefruit
• Created: 2019-11-25T17:04:14.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-25T19:23:11.000Z (about 1 year ago)
• Last Synced: 2024-04-17T19:18:25.860Z (9 months ago)
• Topics: deep-learning, lstm-neural-networks, python, tensorflow2
• Language: Python
• Size: 1.39 MB
• Stars: 14
• Watchers: 1
• Forks: 4
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

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README

        
# Stock-Price-prediction-with-RNN

> **If you’d like to know more, I've written [an article](https://nicolasracchi.com/projects/stock-prediction) on my blog about this project!**

This web app is built with Flask in Python. It consists of a recurrent neural network application for stock price prediction. It’s been instrumental in learning how to train neural networks in the cloud and use a remotely trained network to produce results.

## Example of prediction output:



## Instructions to run

```bash

git clone https://github.com/nicolas-racchi/Stock-Price-prediction-with-RNN

cd Stock-Price-prediction-with-RNN

# If you're on MacOS/Linux:

export FLASK_APP=app.py

# If you're on Windows:

set FLASK_APP=app.py

# (Optional): Set up your python virtual environment

virtualenv venv

# Install requirements

pip install -r requirements.txt

# Start the app:

flask run

```

## How it works:

- Stock historical data is gathered from the Alpha Vantage API

- An LSTM RNN is trained with your choice of stock symbol, with the API data

- The network is used to predict prices from 1/1/2019 on forward.

- When the prediction has been completed, you'll see a graph of the ACTUAL vs PREDICTED stock price.

### Disclaimer:

_This is not meant to be an investment guide. Take this material as useful for learning about neural networks and stock price prediction._