lilianweng / stock-rnnLinks
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
β1,931Updated 3 years ago
Alternatives and similar repositories for stock-rnn
Users that are interested in stock-rnn are comparing it to the libraries listed below
Sorting:
- Stock Price Prediction using Machine Learning Techniquesβ1,483Updated 2 years ago
- π Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.β1,396Updated 6 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networksβ781Updated 9 years ago
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some preβ¦β5,108Updated 2 months ago
- Use NLP to predict stock price movement associated with newsβ857Updated last year
- Use unsupervised and supervised learning to predict stocksβ1,864Updated 5 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modellingβ2,202Updated 4 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.β462Updated 9 years ago
- Using python and scikit-learn to make stock predictionsβ1,896Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Networkβ612Updated 2 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selβ¦β616Updated 2 years ago
- Introducing neural networks to predict stock pricesβ765Updated 6 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.β282Updated last year
- Algorithmic trading with deep learning experimentsβ1,451Updated 7 years ago
- This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlowβ759Updated 4 years ago
- Stock Market Prediction Using Unsupervised Featuresβ366Updated 2 years ago
- This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtubeβ654Updated 3 years ago
- A comprehensive dataset for stock movement prediction from tweets and historical stock prices.β643Updated 6 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forestβ505Updated 4 years ago
- Stock price prediction with LSTMs in TensorFlowβ444Updated 9 years ago
- LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market dataβ5,103Updated 2 years ago
- A LSTM model using Risk Estimation loss function for stock trades in marketβ322Updated 5 years ago
- Datasets, papers and books on AI & Finance.β1,459Updated 3 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 toβ¦β1,483Updated 7 years ago
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulationsβ8,958Updated 2 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecastingβ630Updated 6 months ago
- How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtubeβ773Updated 3 years ago
- PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Managemenβ¦β1,828Updated 4 years ago
- Predict stock with LSTM supporting pytorch, keras and tensorflowβ835Updated 2 years ago
- Deep Q-learning driven stock trader botβ896Updated last year