FDCN-ML: Forecasting Directional Changes in the NASDAQ Market using Machine Learning.
Ahmed M. KhedrP. V. Pravija RajMagdi El BannanyYoussef MansourAmer BakhachHozayfa El RifaiPublished in: SSD (2023)
Keyphrases
- machine learning
- stock market
- financial markets
- stock index
- foreign exchange
- short term
- financial time series
- stock price
- crude oil
- maximum likelihood
- exchange rate
- trading strategies
- garch model
- long term
- explanation based learning
- learning systems
- early warning
- forecasting model
- stock exchange
- pattern recognition
- computer vision
- decision trees
- decision making
- information extraction
- machine learning algorithms
- market share
- demand forecasting
- artificial intelligence
- learning tasks
- inductive logic programming
- learning algorithm
- portfolio selection
- financial data
- data mining
- model selection
- natural language processing
- natural language
- trading systems
- machine learning approaches
- support vector regression
- machine learning methods
- text mining
- load forecasting
- support vector machine
- option pricing
- knowledge discovery
- forecasting accuracy
- knowledge representation
- data analysis
- reinforcement learning