Abstract:
Traders and researchers in stock marketing often
hold some private trading strategies. Evaluation and
optimization of their strategies is a great benefit to
them before they take any risk in realistic trading. We
build an agent services-driven infrastructure: FTRADE.
It supports online plug in, iterative back-test,
and recommendation of trading strategies. In this
paper, we propose agent services-driven approach for
building the above automated enterprise
infrastructure. Description, directory and mediation of
agent services are discussed. System structure of the
agent services-based F-TRADE is also discussed. FTRADE
has been a online test platform for research
and application of multi-agent technology, and data
mining in stock markets.
