This means that it can be viewed as a 3 meta-components
i) Agents and their behaviours, ii) Market microstructure and
iii) Artificial Economic World, with information broadcasting and
institutions such as banks... Each of these components can be used
independently as well as in complete interaction.
For example, you can use ATOM for the evaluation of new regulation or
market procedures with simulations, the potential effects of taxes or
new trading strategies in a sophisticated artificial financial
ATOM can be used for Portfolio Management Research, Algorithmic Trading
or Risk Management among others.
your trading systems:
You can either replay past trading days
using the real order flow to train your algorithmic trading methods
without perturbing the existing price series (i.e. ``as if'' you were in a price-taker,
atomistic stock market) or evaluate the impact of your robots in this
smart tool to learn finance : it can be used as an experimental
finance software in a classroom or as a simulator for finance newcomers.
is a general
agent-based simulations of stock markets.
It is platform independent and fully flexible. ATOM allows distributed
simulations with many computers interacting through a network as well
as local and fast simulations. It can also allow experiments mixing
human beings and artificial traders.
by a joint research team
at the Technical University of Lille (Lille
Paris 1 Panthéon Sorbonne (Paris 1).