Csun1992 / SVM-stock-return-prediction
We predict stock price with K-means clustering and support vector machine
☆17Updated 5 years ago
Related projects: ⓘ
- 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
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 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 6 years ago
- A first look into several time series datasets from quandl (namely top tech companies stock close prices) and an attempt to find patterns…☆16Updated 6 years ago
- Codes for the paper 'Clustering Approaches for Global Minimum Variance Portfolio'☆23Updated 2 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- In this project, this research generally investigates the financial time series such as the price & return of NASDAQ Composite Index usin…☆11Updated 5 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆16Updated 6 years ago
- Multivariate Adaptive Regression Splines for Time Series Prediction☆18Updated last year
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 6 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆29Updated 4 months ago
- Financial time series forecast using dual attention RNN☆27Updated 5 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory