umeshpalai / AlgorithmicTrading-MachineLearning
Deep Learning - Neural network (RNN, LSTM & GRU)
☆62Updated 5 years ago
Related projects: ⓘ
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆57Updated 2 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆54Updated 5 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆46Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆20Updated 7 years ago
- Stock Market Forecasting using LSTM\GRU☆24Updated 5 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆77Updated last year
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 6 years ago
- Stock Market Prediction Using Unsupervised Features☆52Updated 6 years ago
- ☆123Updated this week
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆39Updated last year
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆24Updated 5 years ago
- Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationsh…☆41Updated 2 years ago
- Predicting stock price by using Hidden Markov model☆17Updated 7 years ago
- Deep q learning on determining buy/sell signal and placing orders☆46Updated 5 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆39Updated 4 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆23Updated 5 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆94Updated 3 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 2 years ago
- Stock Price Predictor☆32Updated 5 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆59Updated 4 years ago
- PHBS 2018 Machine Learning Class Project☆14Updated 6 years ago
- ☆9Updated 2 years ago
- jason887 / Using-Deep-Learning-Neural-Networks-and-Candlestick-Chart-Representation-to-Predict-Stock-Market☆49Updated 5 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆20Updated 6 years ago
- ☆63Updated 6 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆17Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆79Updated 4 years ago
- Hidden Markov Model (HMM) based stock forecasting☆92Updated 6 years ago