  The formation of price in a financial market is modelled as a chain of Ising
spin with three fundamental figures of trading. We investigate the time
behaviour of the model, and we compare the results with the real EURO/USD
change rate. By using the test of local Poisson hypothesis, we show that this
minimal model leads to clustering and "declustering" in the volatility signal,
typical of the real market data.
