lilianweng / stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
☆1,788Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for stock-rnn
- Stock Price Prediction using Machine Learning Techniques☆1,332Updated last year
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆705Updated 8 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆574Updated last year
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆597Updated last year
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆465Updated 8 years ago
- 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.☆1,366Updated 5 years ago
- LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data☆4,848Updated last year
- Use NLP to predict stock price movement associated with news☆797Updated 4 months ago
- Stock Market Prediction Using Unsupervised Features☆328Updated last year
- Use unsupervised and supervised learning to predict stocks☆1,735Updated 4 years ago
- Stock price prediction with LSTMs in TensorFlow☆445Updated 8 years ago
- Introducing neural networks to predict stock prices☆741Updated 5 years ago
- This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to…☆1,460Updated 6 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆421Updated 3 years ago
- This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow☆753Updated 3 years ago
- Predict stock with LSTM supporting pytorch, keras and tensorflow☆758Updated last year
- This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.☆791Updated 7 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆312Updated 4 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,052Updated 3 years ago
- This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube☆646Updated 2 years ago
- How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube☆772Updated 2 years ago
- Using python and scikit-learn to make stock predictions☆1,765Updated 5 months ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆253Updated last year
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆4,261Updated 3 months ago
- Deep Q-learning driven stock trader bot☆848Updated 11 months ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.