Abstract: A method of trading assets on a market including: (1) receiving price data for an asset over one or more computer networks; (2) receiving current system position information; (3) storing the received asset price data and current system position information in a computer-readable medium; (4) calculating trade recommendation information form each of one or more trading sub-models, wherein each sub-model is based on a different time horizon, the calculation based on the received asset price data; and (5) calculating a trade recommendation regarding the asset based on the trade recommendation information from each of the trading sub-models. Each sub-model preferably includes: (1) a price collector component; (2) a price filter component; (3) a price database component; (4) a gearing calculator component; (5) a deal acceptor component; and (6) a book-keeper component.

Abstract: The present invention introduces two “event” scales for financial markets, called “scale of market shocks” (SMS), which measure the importance of the market movements. These indices are based on the price volatility and are computed by integrating mapped asset volatilities over time horizons that range from 1 hour to 42 days. The first SMS is an absolute scale, or universal scale, allowing values of different assets to be compared directly. The second SMS is an adaptive scale, calibrated to the typical behavior of each asset allowing the relative importance of market movements to be assessed. In principle, the SMS can be constructed for any market: the indices are computed from the price time series. In the foreign exchan9e (FX) market, each index is associated with a currency pair and we derive from it an index per currency and an index for the whole market.

Abstract: A preferred embodiment comprises a method of trading assets on a market, comprising the steps of: (1) receiving price data for an asset over one or more computer networks; (2) receiving current system position information; (3) storing the received as-set price data and current system position information in a computer-readable medium; (4) calculating trade recommendation information from each of one or more trading sub-models, wherein each sub-model is based on a different time horizon, the calculation based on the received asset price data; and (5) calculating a trade recommendation regarding the asset based on the trade recommendation information from each of the trading sub-models. Each sub-model preferably comprises: (1) a price collector component; (2) a price filter component; (3) a price database component; (4) a gearing calculator component; (5) a deal acceptor component; and (6) a book-keeper component.