Can the trading market patterns be represented in a perceptually weighted experience?

Invisible Suns (Marco Donnarumma, 2010) is an autonomous system that perform a permanent analysis of historical stock prices of a variable selection of major corporations, compresses in few minutes over 8 years of economic transactions and eventually produces a generative and self-organizing audiovisual datascape every 24 hours.

The work does not focus on traditional visualization of data, but rather aims at exploring how this data - and their implied meaning - can be perceptually, emotionally experienced.

Everyday since the 1st August 2010 the system retrieves from the Internet up to date stock prices of selected companies and adds new values to its set of databases. The oldest figures date back to January 2002 while the newest are being collected today. At the moment the system is analyzing historical stock prices of six companies which boast the highest market capital in defense and oil industry: BAE Systems, Lockheed Martin Corporation, Exxon Mobil Corporation, Royal Dutch Shell, Chevron Corporation and General Dynamics Corporation. Data are processed in real time to generate a panoramic synaesthetic scape which demonstrates an auditive and visual sensation of expansions and falls of companies shares as well as the overall movement of the trading market.