  We analyze tick data of yen-dollar exchange with a focus on its up and down
movement. We show that there exists a rather particular conditional probability
structure with such high frequency data. This result provides us with evidence
to question one of the basic assumption of the traditional market theory, where
such bias in high frequency price movements is regarded as not present. We also
construct systematically a random walk model reflecting this probability
structure.
