dzitkowskik / StockPredictionRNN
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
☆732Updated 8 years ago
Alternatives and similar repositories for StockPredictionRNN:
Users that are interested in StockPredictionRNN are comparing it to the libraries listed below
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆464Updated 8 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆603Updated last year
- Stock Price Prediction using Machine Learning Techniques☆1,406Updated last year
- Use deep learning, genetic programming and other methods to predict stock and market movements☆425Updated 3 years ago
- Stock price prediction with LSTMs in TensorFlow☆446Updated 8 years ago
- Use NLP to predict stock price movement associated with news☆815Updated 8 months ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆319Updated 4 years ago
- A long term short term memory recurrent neural network to predict forex data time series☆308Updated 4 years ago
- Predict Stocks Market Machine Learning☆252Updated 10 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- ☆115Updated 7 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆590Updated last year
- Technical experimentations to beat the stock market using deep learning☆472Updated 8 years ago
- Stock Market Prediction Using Unsupervised Features☆346Updated 2 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆280Updated 10 months ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆264Updated last year
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆236Updated 9 months ago
- Regression, Scrapers, and Visualization☆394Updated last year
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆401Updated 5 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆307Updated 4 years ago
- Quantitative Finance and Algorithmic Trading☆340Updated 9 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆460Updated 3 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,107Updated 4 years ago
- Quant is a python-based system for stock trading strategy backtesting☆289Updated 9 years ago
- Companion code for the "Self Learning Quant" blog post☆257Updated 7 years ago
- Introducing neural networks to predict stock prices☆753Updated 5 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆549Updated 4 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆315Updated 7 years ago
- Plain Stock Close-Price Prediction via Graves LSTM RNNs☆196Updated 4 years ago
- Data and code of my Medium story on stock prediction with TensorFlow☆520Updated 7 years ago