Performance evaluation of decision-making agents' in the multi-agent system
By Jerzy J. Korczak, Marcin Hernes, Maciej Bac. 2014
13 citations recorded by the source corpus.
The article presents the performance analysis issues of buy-sell decisions agents' in a-Trader system. The system allows for supporting of investment decision on FOREX market. The first part of article contains a description of a a-Trader system. Next, the algorithms of the selected buy-sell decision agents is presented. In the last part of article the evaluation function of agents' performance is detailed, and the approach to performance analysis is proposed and illustrated.
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Citations in the corpus
- Deep learning for financial time series forecasting in A-Trader system (2017, methodology): “A-Trader mainly supports High Frequency Trading (HFT) [20], putting strong emphasis on price formation processes, shortterm positions, fast computing, and efficient and robust indicators [21].”
- Fundamental analysis in the multi-agent trading system (2016, methodology): “The fundamental analysis implemented as investment strategy in A-Trader can be used as confirmation of deci- sions generated by other strategies.”
- Fuzzy Logic as Agents' Knowledge Representation in A-Trader System (2015, background): “The architecture of a-Trader and the description of the different groups of agents have already been detailed [15–17].”