Research Article
Machine Learning-Based Decision-Making for Stock Trading: Case Study for Automated Trading in Saudi Stock Exchange
Table 3
The set of 31 learning features utilized by this study.
| Feature | Description | Definition |
| Open | Open price | A stock opening price for a given day () | Highest | Highest price | A stock highest price for a given day | Lowest | Lowest price | A stock lowest price for a given day | Close | Close price | A stock closing price for a given day ) | Volume | Trading volume | Number of stock shares traded for a given day () | Direction | Previous day’s direction | Previous day’s price direction up or down | SMA | Simple moving average | | EMA | Exponential moving average | | TEMA | Triple exponential moving average | | DEMA | Double exponential moving average | | TRIMA | Triangular moving average | | MACD | Moving average convergence divergence | | TP | Typical price indicator | | WC | Weighted close price | | WR | Williams' %R | | SO | Stochastic oscillator | | OBV | On balance volume | | ROC | Rate of change indicator | | CCI | Commodity channel index | | MFI | Money flow index | | RSI | Relative strength index | | AD | Accumulation distribution | | CMO | Chande momentum oscillator | | PPO | Percentage price oscillator | | TR | True range | | ATR | Average true range | | AU | Aroon up | | AD | Aroon down | | BOP | Balance of power | | BOLU | Upper Bollinger band | | BOLD | Lower Bollinger band | |
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