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The Prix Ars Electronica Archive is a collection enabling search and viewing of all the submissions since 1987. The award-winning projects are documented with catalogue texts and audio-visual media. All other submissions can be searched by title/artist and displayed with year, category in list form. Please cite the credits (artwork name, artist and photographer) and only use the materials if your article is related to Ars Electronica.
ADM8
RYBN
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On May 6, 2010, around 2:40 p.m., the Dow Jones Industrial Average index fell about 900 points in less than twenty minutes. The loss was estimated at a trillion dollars. Following this event, all transactions made that day between 2:40 and 3 p.m. were canceled by joint agreement. This instantaneous stock market crash, which is now referred to as the “flash crash,” was caused by miscalculations carried out by high-frequency trading robots operating on the markets. Despite its virtuality, this crash sheds light upon the actual architecture of finance: its particular temporality and scale that reaches far beyond human physical abilities and perceptions, where robots trigger thousands of orders every second and flood the market with millions of pieces of fake information to hide their true investments, a process called “quote stuffing.”
Engaging finance in its most recent and complex developments, RYBN has undertaken the construction of its own trading bot, designed to invest and speculate on the financial markets. Using an online broker service to directly access the markets, this autonomous program can trigger orders as well as buy and sell stocks. Its decisions are taken with the help of an internal algorithmic intelligence system and can be influenced by a wide range of external, arbitrary parameters. The whole decision system allows the program to foresee the next moves in the markets while it tries to identify and anticipate the relevant and effective patterns within the financial chaotic oscillations. Along with its computations and performance, the robot’s activity is monitored, recorded, and visualized within dynamic mapping. A panopticon of information unfolds that is formally similar to the control rooms of the stock exchanges’ back offices.
The whole program is designed and distributed in open-source format, in contrast to the black box of the algorithmic and high-frequency trading.
Links: http://rybn.org/ANTI/ADM8/
Engaging finance in its most recent and complex developments, RYBN has undertaken the construction of its own trading bot, designed to invest and speculate on the financial markets. Using an online broker service to directly access the markets, this autonomous program can trigger orders as well as buy and sell stocks. Its decisions are taken with the help of an internal algorithmic intelligence system and can be influenced by a wide range of external, arbitrary parameters. The whole decision system allows the program to foresee the next moves in the markets while it tries to identify and anticipate the relevant and effective patterns within the financial chaotic oscillations. Along with its computations and performance, the robot’s activity is monitored, recorded, and visualized within dynamic mapping. A panopticon of information unfolds that is formally similar to the control rooms of the stock exchanges’ back offices.
The whole program is designed and distributed in open-source format, in contrast to the black box of the algorithmic and high-frequency trading.
Links: http://rybn.org/ANTI/ADM8/
with the support of CNC / DICREAM, French Ministry of Culture
ZKM, GAM / Institut für Bildmedien, Gaîté Lyrique / TAQ
ZKM, GAM / Institut für Bildmedien, Gaîté Lyrique / TAQ
RYBN (FR) is a multi-field artistic collective—Kévin Bartoli, Jean-Marie Boyer, Marika Dermineur, Bertrand Charles, Sylvain Le Beux—based in Paris (2000) and specializing in the realization of installations, performances and interfaces by referring to the codified systems of the artistic representation (painting, architecture, counter-cultures) as well as to human and physic phenomena (geopolitics, socio-economy, sensory perception and cognitive systems). Their axis of research is the construction of a “convergence semantics” via the coupling, diversion and perversion of writing and formalization tools connected with the technologies of communication, information and the sensory – webs, data flows, smell, surveillance, audiovisual, interaction, real time.