[PD] [PD-announce] AntiDataMining project in ZKM (Karlsruhe) using Pd and Gem

Jack jack at rybn.org
Tue Sep 27 10:18:16 CEST 2011

Le 24/09/2011 21:28, Charles Henry a écrit :
> A very nice project.  What do you make of the robot and tts voices in
> the video?
> Chuck
> On Sat, Sep 24, 2011 at 9:01 AM, Jack<jack at rybn.org>  wrote:
>> See the video of a trade bot in the panoramic room ;)
>> http://www02.zkm.de/videocast/index.php?option=com_content&view=article&id=446:rybn&catid=115
>> <http://www02.zkm.de/videocast/index.php?option=com_content&view=article&id=446:rybn&catid=115>
>> ++
>> Jack
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Hello Charles,

Here a small description of the project (the voice of the robot comme 
from MacOSX speach) :

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 one trillion dollars. Following this event, all 
transactions made that day between 2:40 and 3 p.m. were canceled in 
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 each second and flood the market with millions of fake 
information to hide their true investments, a process which is called 
“quote stuffing.” Engaging finance in its most recent and complex 
developments, RYBN has undertaken the construction of its own amateur 
trading bot, designed to invest and speculate on the financial markets. 
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. The performance stops when the robot reaches 

You can follow the portfolio and the evolution of the P&L realized by 
the bot on this web site (directly connected to the installation) :
The website about AntiDataMining is there :


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