roshanr11/deep-learning-for-trading-rnn-lstms-getrichwithstocks.py

A predictive platform for stock market prediction, utilizing shallow machine learning algorithms built from scratch such as SLR and MSLR, as well as deep learning methods such as LSTMs + RNNs built with Keras.

getRichWithStocks.py

An interactive learning platform from scratch for beginners and experts alike in the trading industry as my final term project for Fundamentals of Programming [15-112] at Carnegie Mellon in under 3 weeks.

This project consists of the following main parts:

• Indicators and graphs based on stock indicators written from scratch
• Simple linear regression/multiple linear regression machine learning models built from scratch [shallow learning, without use of sk-learn]
• Long short term memory model (LSTMM) deep learning RNN model built with Keras

This stock simulation game helps users enforce good trading practices and provides a rough prediction of the trend of the desired stock trained on a selected data interval.

Themes:

• Helping users understand best practices
• Writing technical analysis indicators as well as shallow machine learning algorithms from scratch
• Utilizing cutting-edge deep learning models (LSTMM) to predict stock data

---

How to run: download the following modules using "pip install <module name>" without the < and >

Modules:
    Pandas
    Numpy
    sk-learn
    seaborn
    matplotlib
    Keras 

Ensure that all files are in the same folder. Run "modes_and_UI.py" in an editor of your choice, and enjoy! :)