Pattrickps / Stock-Market-Prediction-Machine-learning
—Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)
☆9Updated 7 years ago
Alternatives and similar repositories for Stock-Market-Prediction-Machine-learning:
Users that are interested in Stock-Market-Prediction-Machine-learning are comparing it to the libraries listed below
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 8 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- (1) LSTM-RNN stock prices (historical closing precies of S&P500) prediction using keras with tensorflow. (2) Experiments APIs on the netw…☆23Updated 7 years ago
- Hedging portfolios with reinforcement learning.☆34Updated 7 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 7 years ago
- ☆72Updated 2 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆48Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 3 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. …☆46Updated 6 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆99Updated 4 years ago
- ☆62Updated 6 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
- Machine Learning for Financial Market Prediction☆58Updated 6 years ago
- finance☆43Updated 7 years ago
- Machine Learning Stock Trading Risk Analysis (Spring 2017)☆28Updated 7 years ago
- Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction☆30Updated 7 years ago
- Algorithmic Trading using RNN☆33Updated 8 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆41Updated 4 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 5 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- Exercises in 'Advances in Financial Machine Learning' by Lopez de Prado☆3Updated last year
- Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.☆90Updated 2 years ago