Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis.
Mojtaba NabipourPooyan NayyeriHamed JabaniShahaboddin ShamshirbandAmir MosaviPublished in: IEEE Access (2020)
Keyphrases
- stock market
- binary data
- machine learning
- learning algorithm
- continuous data
- deep architectures
- short term
- formal concept analysis
- financial time series
- active learning
- stock price
- supervised learning
- high dimensional
- trading rules
- stock exchange
- categorical data
- stock index futures
- data sets
- stock trading
- stock returns
- financial data
- stock data
- training data
- financial news
- text classification
- natural language processing
- reinforcement learning
- itemsets
- information extraction
- garch model
- knowledge discovery
- long term
- data streams
- pattern discovery
- dimensionality reduction
- trend analysis
- support vector machine
- support vector
- chinese stock market
- feature extraction