Awesome Open Source
Awesome Open Source


Here is some of codes generated in Python using Machine Learning and AI for generating prediction in Stock Prices.

Packages Used:

  • Talib
  • Scikit Learn
  • TensorFlow
  • Keras
  • Pandas
  • Numpy and numexpr (Faster Numpy for better performance)
  • Visualisation tools like Seaborn and Matplotlib

Still Working... Will keep on updating...

LSTMs have gave me promosing results and now I am exploring advance LSTM like MD-LSTM and MiD-LSTM for better prediction and more feature inclusion.

Here is result one of my project done for Sentiment Analysis on News and LSTM with RNN.

Below is Prediction for NASDAQ using our model. Price is scaled to 1. Trained the model for past 2 years and predicted the results for 200 days in the future. Predicted Results for NASDAQ

Help & Motivate my work by little generosity:

donateBitcoin donateEthereum

My Work and Profile

viewLinkedIn viewGithub

PS: These are my own codes which are stricktly experimental. This does not represent firms views. Use these codes at your own risks.

Get A Weekly Email With Trending Projects For These Topics
No Spam. Unsubscribe easily at any time.
Python (1,124,836
Machine Learning (30,060
Artificial Intelligence (5,404
Ai (4,565
Bitcoin (4,399
Machine Learning Algorithms (2,328
Finance (1,945
Trading (1,434
Prediction (983
Artificial Neural Networks (707
Trading Bot (561
Quantitative Finance (368
Trading Strategies (344
Trading Algorithms (248
Quantitative Trading (136
Related Projects