Technical Variables
Quantitative measures derived from historical price and volume data used to forecast future price movements.
Quantitative measures derived from historical price and volume data used to forecast future price movements.
The combination of different types of input features, such as fundamental and technical variables, to improve predictive modeling.
Economic factors that influence the overall economy and can affect currency values, such as GDP and unemployment rates.
A comprehensive review and synthesis of existing research on reasoning behaviors in large language models.
A trading system that utilizes cognitive computing techniques to make decisions based on market data.
Behavioral repertoires refer to the range of strategies and responses that models can exhibit in reasoning tasks.
Shallow forward chaining is a reasoning strategy that involves sequentially applying rules or operations without deeper cognitive processing.
A method that provides structured support to models during reasoning tasks to enhance their performance.
The process of teaching robots to perform tasks by learning from human demonstrations.
Cognitive elements are fundamental components derived from cognitive science that influence reasoning and problem-solving processes.