PyPatel/Machine-Learning-and-AI-in-Trading
Python project using LSTMs, RNNs, and ML models to predict stock prices and trading signals.
Not currently ranked — collecting fresh signals.
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This repository implements machine learning models for quantitative trading and price prediction. It uses deep learning architectures like LSTMs and MD-LSTM for time-series forecasting on financial instruments such as NASDAQ and Bitcoin. The project also includes sentiment analysis on news data combined with recurrent neural networks to inform trading strategies. It employs TensorFlow, Keras, and scikit-learn within a Python pipeline for feature engineering and model training.
Frequently asked
- What is PyPatel/Machine-Learning-and-AI-in-Trading?
- Python project using LSTMs, RNNs, and ML models to predict stock prices and trading signals.
- Is Machine-Learning-and-AI-in-Trading open source?
- Yes — PyPatel/Machine-Learning-and-AI-in-Trading is an open-source project tracked on heatdrop.
- What language is Machine-Learning-and-AI-in-Trading written in?
- PyPatel/Machine-Learning-and-AI-in-Trading is primarily written in Python.
- How popular is Machine-Learning-and-AI-in-Trading?
- PyPatel/Machine-Learning-and-AI-in-Trading has 427 stars on GitHub.
- Where can I find Machine-Learning-and-AI-in-Trading?
- PyPatel/Machine-Learning-and-AI-in-Trading is on GitHub at https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading.