hualiu01 / LSTMRNNStockrLinks
(1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the network's hyper-parameters are provided through './mmodel/experiment.py'. (3) a website is built using this prediction model as engine with Flask and MySQL.
☆24Updated 8 years ago
Alternatives and similar repositories for LSTMRNNStockr
Users that are interested in LSTMRNNStockr are comparing it to the libraries listed below
Sorting:
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆101Updated 4 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 8 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆71Updated 8 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆104Updated 6 years ago
- Machine Learning Stock Trading Risk Analysis (Spring 2017)☆28Updated 8 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Assisting repository for the published paper investigating ensemble methods in algorithmic trading.☆44Updated 7 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆52Updated 3 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 years ago
- Predicting stocks with ML.☆43Updated 7 years ago
- Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…☆82Updated 8 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- My approaches to Financial Forecasting Challenge by G-Research☆44Updated 6 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- A crypto currency live-trading backend for Huobi☆35Updated 7 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Another attempt to use Deep-Learning in the financial markets☆56Updated 2 years ago
- Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market☆37Updated 9 years ago
- Stock prediction project using Recurrent Neural Network and LSTM☆44Updated 8 years ago
- Machine learning in Python for stock market and forex market predictions (fully functional)☆59Updated 7 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- Notes for Active Portfolio Management, by Grinold and Kahn☆47Updated 9 years ago