Re: nettime The secret financial market only robots can see

2013-09-30 Thread Newmedia
Felix:
 
 What has happened through financialization is not the rise of
 machines, or some creation of intelligent forms of agency beyond
 human comprehension.
 
Who said any of this is beyond comprehension?  If you choose to not  even 
try to understand something, for your own reasons of *dogma* (such as  
SCOT), the initial reasons for which have long been forgotten, then what does  
that tell us about forms of agency?
 
It is the machines that are *spying* on us -- not humans.  It is the  
machines that are taking our jobs -- not humans (now that wage arbitrage is  
declining).
 
As George Dyson illustrates in his Turing's Cathedral: The Origins of the  
Digital Universe, something *qualitatively* different has been invented.
 
Why is that so difficult to grasp?
 
Mark Stahlman
Brooklyn NY





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Re: nettime The secret financial market only robots can see

2013-09-30 Thread Felix Stalder
OK. It's the machines. You convinced me. Now, what?

Felix



On 09/29/2013 02:34 PM, newme...@aol.com wrote:
 It is the machines that are *spying* on us -- not humans.  It is the  
 machines that are taking our jobs -- not humans (now that wage arbitrage is 
  
 declining).
  





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Re: nettime The secret financial market only robots can see

2013-09-30 Thread mp

On 29/09/13 14:34, newme...@aol.com wrote:
 It is the machines that are *spying* on us -- not humans.  It is the  
 machines that are taking our jobs -- not humans (now that wage arbitrage is 
  
 declining).

So if we switch them off, all associated problems go away?

 As George Dyson illustrates in his Turing's Cathedral: The Origins of the  
 Digital Universe, something *qualitatively* different has been invented.

Qualitatively different  than/from what, exactly?

 Why is that so difficult to grasp?

Perhaps because it is qualitatively different?

m




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Re: nettime The secret financial market only robots can see

2013-09-30 Thread Armin Medosch


On 09/30/2013 01:12 PM, Felix Stalder wrote:

OK. It's the machines. You convinced me. Now, what?

Felix


silent chuckle ...

I wanted to throw in my 2pence already a while ago. Last year I had
the opportunity of investigating the matter journalistically, through
a series of interviews, and I was lucky to find a couple of insiders
who would talk.

In principle, it is important to differentiate between different forms
of algorithmic trading. There are on one hand, large investment banks
and hedge funds who hold large portfolios of different types of stocks
and equities; they also need fast computers and fast lines, but just
because they need to keep track of lots of different positions and
their relations to each other - together with news and lots of other
things happening in real time;

those are the companies who employ Quants, people with high level
mathematical and/or theoretical physics knowledge to design the
software and the 'products' traded, but the trading itself is not
really high-frequency, the final decisions are still made by humans
and there are a number of trades a day or even more, but nothing
approaching nano-second stuff.

High Frequency Trading is a special case of algo-trading and that
really is a world of its own; according to one insider, the big
investment banks and hedge funds are not really good at it at all,
because it is based on a different mentality - very much a kind of
nerd / hacker type mentality - so that mostly new companies are doing
it who follow this special mindset. the algorithms used are relatively
simple, you don't ned the brain of a quant to write one, but it has
to be very reliable; the strategies applied are aiming at very low
risk as opposed to the risky 'over the counter' deals of hedge funds;
software base is mostly Linux and open source and the entry level
for firms relatively low; my source claimed that HFT was actually a
'democratization' of speculation, because in a few years everybody
would be able to do it.

I was also surprised to learn about conditions in this industry. You 
could say that this was a kind of Fordism of financialism, where you 
have very few analysts but many coders and data base maintainers; they 
are all employed with 38 hours jobs, lots of holidays and on the job 
training and, while salaries are higher than almost everywhere else, 
they are very much lower than totally out of poportion bankers' boni.


This just confirms that there is a general tendency in society to 
mystify the workings of machines, whereby the commodity fetishism 
applied to machines just conceals the real mechanisms of social power as 
carried out by people, corporations, powerful interest groups. HFT is 
not that bete noir of banking as what it has been protrayed by some. If 
it is a good thing I dont know and have serious doubts about the 
'democratization'.


Well, yes, maybe there are 'epistemological spaces' in those nano-second 
trades that are inaccessible to humans, but so-what? There are probably 
also inaccessible epsitemological spaces in the vast amount of data 
collected by NSA and others (something that Virilio suggested in Vision 
Machines).


The point is that while we can fret about 'inhuman' thought structures 
philosophically, precious life-time and energy is NOT spent on 
uncovering or countering the doings of those less than 1 % who ruin the 
planet for all, as Brian pointed out.


there is a philosophical aspect to that discourse on umans/non-humans 
that has someting to to with Virilio, Latour and Barad which I would 
love to elaborate on more now, but unfortunately I have some other work 
to do today in order to 'earn a living' as the saying goes


best
Armin





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Re: nettime The secret financial market only robots can see

2013-09-30 Thread Joe Raimondo
Doug Rushkoff has spoken of the architecture of Lower Manhattan coming to
resemble that of a microprocessor. The gates keep becoming more tightly
packed; for every meter you move closer to the Valhalla (old Verizon co-lo
facility at 375 Pearl st.), you are one nanosecond closer to perfect
insight.  Or so they think.


On Mon, Sep 30, 2013 at 9:07 AM, Armin Medosch ar...@easynet.co.uk wrote:

 On 09/30/2013 01:12 PM, Felix Stalder wrote:

 OK. It's the machines. You convinced me. Now, what?

 Felix


 silent chuckle ...

 I wanted to throw in my 2pence already a while ago. Last year I had
 the opportunity of investigating the matter journalistically, through
 a series of interviews, and I was lucky to find a couple of insiders
 who would talk.
 ...


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Re: nettime The secret financial market only robots can see

2013-09-30 Thread Chad Scoville
Thx 2 Armin for an elegant summation on the range of eletronic trading sytems 
and methodologies. A lot of very excellent posts to this thread.

To Brian's point on the relative applicability of this financial approach, I 
think by looking at total volumes across all asset classes, perhaps specfically 
CME Globex, its quite apparent from that data that the levels are continuing to 
increase.

But still, here the present condition is that transactions conducted on a scale 
impenetrable to the human gaze and manageable only through highly sophisticated 
automation. And the scale accounts for a significant percentage of overall 
global gdp in terms of notional value. It is a fact that movements occur in the 
single-digit microseconds and capital is accrued proportional to sytem and 
transport latency.

The level of automation is rudimentary at this stage; it is problematic that 
from a computational perspective, machines don't quite have the neural 
complexity to rationalize around all deviations and hence their adaptability is 
limited. But I know neural-networking research is becoming apart of this field 
for advanced QR [you can see job positings requesting this skill specifically].

But isn't this expected? Couldn't we all see this coming? The continual 
derivitization of value to now where it is a function of precision timekeeping 
- the event becomes zero-point, completely disappearing?

My view is that it will continue, and I'm surprised that we don't as of yet 
off-world, satellite-based dark venues. I do see the financial world as a 
second-tier, breakway civilization.

And what about real-time-bidding advertising networks? A deeper extrapolation 
of value not relegate to the act of seeing / gaze, but rather the 
potentialization of the gaze? And how will the machines leverage that space?

But his could be the 'ghettoization' of finance - a reversal effect of 
something taken to an ultimate extreme - whereas it's balkanization becomes 
abstracted to it's own extinction allowing for a new and perhaps more slow lane 
approach to resource allocation.

Interesting subjects to discuss indeed.

/chadscoville
/www.riftrouter.cx


-Original Message-
From: Armin Medosch [mailto:ar...@easynet.co.uk]
Sent: Monday, September 30, 2013 09:07 AM
To: 'a moderated mailing list for net criticism'
Subject: Re: nettime The secret financial market only robots can see
 ...


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Re: nettime The secret financial market only robots can see

2013-09-30 Thread David Mandl
Hi Armin--

On Sep 30, 2013, at 9:07 AM, Armin Medosch ar...@easynet.co.uk wrote:

 In principle, it is important to differentiate between different forms
 of algorithmic trading. There are on one hand, large investment banks
 and hedge funds who hold large portfolios of different types of stocks
 and equities; they also need fast computers and fast lines, but just
 because they need to keep track of lots of different positions and
 their relations to each other - together with news and lots of other
 things happening in real time;
 
 those are the companies who employ Quants, people with high level
 mathematical and/or theoretical physics knowledge to design the
 software and the 'products' traded, but the trading itself is not
 really high-frequency, the final decisions are still made by humans
 and there are a number of trades a day or even more, but nothing
 approaching nano-second stuff.

Right, I wouldn't call this algorithmic trading at all. This is general risk 
management: How exposed am I to interest-rate movements, shifts in volatility, 
big drops in a particular industry or the market as a whole? etc. There are 
standard measures for these things, usually called the Greeks: delta, gamma, 
vega, rho.

The trading involved here can be minimal, depending on how often the desk wants 
to rebalance their portfolio to neutralize these risks. That could be once or a 
day or once an hour. But the main work and intelligence here is in the 
systems that compute these risk measures, and the people who decide what 
measures are meaningful to them. The trading doesn't have to be anything fancy. 
No algorithms needed, usually.

 High Frequency Trading is a special case of algo-trading and that
 really is a world of its own; according to one insider, the big
 investment banks and hedge funds are not really good at it at all,
 because it is based on a different mentality - very much a kind of
 nerd / hacker type mentality - so that mostly new companies are doing
 it who follow this special mindset. the algorithms used are relatively
 simple, you don't ned the brain of a quant to write one, but it has
 to be very reliable; the strategies applied are aiming at very low
 risk as opposed to the risky 'over the counter' deals of hedge funds;
 software base is mostly Linux and open source and the entry level
 for firms relatively low; my source claimed that HFT was actually a
 'democratization' of speculation, because in a few years everybody
 would be able to do it.

In my experience, the talk about open source in finance is exaggerated. All 
these systems run on Linux boxes, but that's pretty much where it ends. The 
algorithmic stuff tends to be proprietary, whether it's any good or not, and 
written in C++ or Java. There's no end of articles about how Wall St. has gone 
open-source, and I don't get it. They might use the gnu C++ compiler, or use 
cvs for source-control, but that's been going on forever. I don't think I've 
ever worked on a trading or risk-management system that wasn't proprietary. In 
fact I know someone who knows someone who used to work with a certain Russian 
programmer who was arrested and had his life more or less ruined because he was 
suspected of stealing the secret algorithmic code from the firm he was leaving 
in order to bring it to the hedge fund he was going to. Or so I've heard.

While quants aren't needed to write the trading algorithms, they definitely 
write a lot of the code that gets baked into these systems--for figuring out 
what the fair price of some esoteric derivative is, for computing the desk's 
risk (see above), etc. There's a pretty clear separation of responsibility 
between the programmers and the quants, though the former know a hell of a lot 
about the market and the latter know a lot about software. Whatever else you 
can say about them, most of these quants, at least at the top firms, seriously 
know their mathematical shit. Many, but not all, of the programmers are equally 
on top of the technology. This is pretty specialized knowledge, which is why 
good Wall St. techies are paid as finance people rather than as programmers. 
Historically, no programmer in any other industry could make anything like what 
Wall St. tech people made, though I've heard that's changing with some people 
at Google etc. At the same time, Wall St. firms are getting stingi
 er. (Yeah, things are bad all over.)

 I was also surprised to learn about conditions in this industry. You could 
 say that this was a kind of Fordism of financialism, where you have very few 
 analysts but many coders and data base maintainers; they are all employed 
 with 38 hours jobs, lots of holidays and on the job training and, while 
 salaries are higher than almost everywhere else, they are very much lower 
 than totally out of poportion bankers' boni.

See above. Certainly almost no Wall St. programmer's salary can touch a 
trader's salary, but they're still far above what other tech people make. It's 

Re: nettime The secret financial market only robots can see

2013-09-29 Thread Felix Stalder


On 09/27/2013 12:21 AM, Brian Holmes wrote:
 Finally, I do think that the claim to manage risk through hedging
 strategies tends to deny collective responsibility for risks that,
 nonetheless, are run by everyone and whose effective consequences are
 typically paid for by large numbers of people, whether through losses of
 vital assets like houses, or by taxpayers in the form of government
 intervention (whether it's in the economic, social or ecological realm).

This is, precisely, the point. What has happened through
financialization is not the rise of machines, or some creation of
intelligent forms of agency beyond human comprehension. Such arguments
are simply part of the narrative that underpins the creation of a
social/economic system that centralizes rewards and decentralizes
risk. But other than what has been promised by the hedging wizards,
decentralized risk means simply that the risk is carried by everyone,
rather than those who create and profit from it.

For society, this is an incredibly destructive situation, since
incentives the few to generate more risk, while the rest experience
lives that are diminished and increasingly chaotic, since there is no
telling who gets hit when the risk materialize. Perhaps, this is just
the decline of the West, but it seems at last as much a reoganisation
within it, that cannot be reduced to changes in the world economy.

I'm currently in Athens, which is, in Europe, at the forefront of
this experience. It's not pretty. The rise of ultraviolent fascists
(with money from oligarchs, apparently) is terrifying everyone here.
Whether yesterday's crackdown made any difference remains to be seen.
The systemic forces, however, one which they rose in the first place,
remain unchanged.


Felix











-- 

-|- http://felix.openflows.com  books out now:
 |
*|Cultures  Ethics of Sharing/Kulturen  Ethiken des Teilens UIP 2012
*|Vergessene Zukunft. Radikale Netzkulturen in Europa. transcript 2012
*|Deep Search. The Politics of Searching Beyond Google. Studienv. 2009
*|Mediale Kunst/Media Arts Zurich.13 Positions. ScheideggerSpiess2008
*|Manuel Castells and the Theory of the Network Society.Polity P. 2006
*|Open Cultures and the Nature of Networks. Ed Futura / Revolver, 2005
 |
 |OPEN PGP:  056C E7D3 9B25 CAE1 336D 6D2F 0BBB 5B95 0C9F F2AC





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Re: nettime The secret financial market only robots can see

2013-09-28 Thread David Mandl
To restate what Brian wrote, in five times as many words:

I think it's easy (and *usually* reasonable) to say, This thing that's 
happening now, and the backlash against it, is just like such-and-such a thing 
that happened 100 years ago, and all that fuss turned out to be very silly.

So, whenever someone says, Everything used to be so wonderful (especially when 
I was young). The whole world's going down the toilet now! it's a good idea to 
point out that people in Chaucer's and Plautus's times were saying the exact 
same thing. People in the Old Testament got all teary-eyed for the good old 
days.

One contemporary example is the ever-popular buggy-whip manufacturer, an 
analogy loved by Libertarian types. Science matches on! There will always be 
people clinging to a useless, outdated past. We've seen this again and again. 
Deal with it--and learn HTML5.

Another is GMOs, where some people make the argument that, when you get right 
down to it, inserting pig genes into a tomato is really not all that different 
from transplanting a bean plant with a pair of household scissors. (This is a 
deliberately extreme example. No need to point that out.)

Another might be the sexualization of children. If I note that explicit videos, 
sexting, and all the rest are bad for kids you could make the argument that 
this is no different from the fuss about Elvis or women wearing dresses above 
the knee, and we all know how ridiculous those controversies turned out to be.

But is it possible that the thing happening now might really be qualitatively 
different from the identical thing that happened 100 years ago? I think it's 
important to leave that possibility open, though we know that being objective 
about the world we're immersed in is basically impossible. Maybe 999,999 times 
out of a million you're just being old and crabby. But there can be that one 
time where things really did take a permanent turn for the worse, and being 
able to spot that, or at least try to, is crucial. Did all the supposed horrors 
of Reaganism turn out to be a big nothing in light of Bushism? (Reagan would 
be considered a liberal Democrat today!) Is what's happening now with 
financial markets, income inequality, and the rest of it the same old thing we 
saw in the late 19th century and the 1920s--both of which we recovered from?

I'd at least entertain the possibility that what's going on with financial 
markets now is qualitatively different and in some ways irreversible *given the 
corporate and government structures in place today*. And btw, I also think 
sexualization of kids in the early 21st c. is a very real and frightening 
problem (and I'm allegedly a Reichian).

So getting back to the subject at hand, I think algorithmic trading was 
destined to fail in the long term, the same way interest-rate arbitrage and 
early program-trading in the '80s eventually failed. By definition, the way 
these things work is: (1) I come up with a formula that takes advantage of some 
inefficiency in the financial markets; (2) I and a few other early adopters 
print money for a few years trading on that; (3) everyone else catches on, and 
an arms race begins; (4) that inefficiency disappears because everyone's doing 
the same thing; (5) a bunch of people take a bath--perhaps taking the economy 
down with them, but that's another story; and (6) we dump this losers' 
strategy, go back to (1), and start again.

I think a lot of what's happened in the markets recently really is 
qualitatively different, and algorithmic trading is an example of that. 
Super-complex derivative products are another. Whether traders eventually 
abandon those things and move on doesn't matter much, IMO. The way markets work 
now is rigged in various extreme ways, such that only a small group of people 
with very esoteric technology or human capital can make money at all, and most 
other people will get shafted as never before. I'm not talking about a Golden 
Age of capitalism--I'm saying any microscopic cracks or safe havens that might 
have existed before are now gone. Think of the way that so many workers in the 
US have had unions, welfare, etc. to at least protect them from starving. Those 
things will be gone soon if a certain of group of people has its way. And no, 
I'm definitely not saying things are hopeless, just hopeless under the system 
we have now, whatever you want to call it.

BTW, I've worked with complex derivatives and high-speed trading systems. The 
people behind them would say (publicly) that they're simply providing 
liquidity to the market. They think what they're doing is essentially the same 
as what happened under the Buttonwood Tree in the late 18th century:

http://www.loc.gov/rr/business/hottopic/stock_market.html

...which, of course, is bullshit.

Cheers,

   --Dave.

On Sep 26, 2013, at 6:21 PM, Brian Holmes bhcontinentaldr...@gmail.com 
wrote:

 Hi Chad -

 First off, not to worry, I recall good interactions with you and I 
 respect 

Re: nettime The secret financial market only robots can see

2013-09-28 Thread Keith Hart
Dave, I am with you and Brian on this one, so I hope this doesn't come
across as merely scholastic. It is not about same vs different, but about
difference-in-sameness or the other way round.

There was a rather sterile episode in economic anthropology along these
lines known as the formalist-substantivist debate. But it's ancestor was
the Methodenstreit (battle over methods) in late the 19th century
German-speaking world. The issue was whether the ancient Greek economy was
the same as or different from contemporary German capitalism (Schmoller in
Berlin vs Menger in Vienna). Max Weber entered the fray saying We wouldn't
be interested in the Greeks unless they were different and we couldn't
understand them unless they were in some sense the same.

I share your irritation with the same-old people, but we have to place our
times in history and that means dialectic.

Keith

On Saturday, 28 September 2013, David Mandl wrote:

 To restate what Brian wrote, in five times as many words:

 I think it's easy (and *usually* reasonable) to say, This thing that's
 happening now, and the backlash against it, is just like such-and-such a
 thing that happened 100 years ago, and all that fuss turned out to be very
 silly.



-- 
Prof. Keith Hart
www.thememorybank.co.uk
135 rue du Faubourg Poissonniere
75009 Paris, France
Cell: +33684797365


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Re: nettime The secret financial market only robots can see

2013-09-26 Thread Chad Scoville
As someone intimately involved in this area for some time, and also privy 
enough to the dialogue in the academic non-practitioner space, in addition to 
the professional space, I am always amused to the extent with which 
electronic/hft/algo trading is misinterpreted and in many instances blatantly 
misunderstood. I know for many participants in this list, this subject is very 
controversial and hits very close to home - hence out of respect for a 
civilized discouse on the subject, I think generally before someone quotes 
'NANEX' again, we would all do well to remember that overall having a debate 
about the ethics surrounding degrees of speculation in markets is highy ludic. 
The same technical parallax we use to communicate via nettime is also the 
mechanism utilized for deployment of sophistcated trading models.

Machines being leveraged to generate resources is a legacy of our civilization 
- and arguing about the ethics of this specific incarnation of capital is 
reactionary and we need to do better. The conversation should be less emotional 
about the implications of this systemically, and instead how much novelty gets 
generated in culture as a afterimage of electonic market making. Robots trading 
was a forgone conclusion when NYSE SuperDOT came on the scene. Earlier, Reuter 
revolutions infomation arbitrage with the uilization of passerger pigeons to 
exploit data leakage between markets.

I'm pleased to see that Brian Holmes stepped in to comment, as I respect his 
views on things nettime. However, I think we need to sharper with our critical 
analysis of this aesthetic and not dismiss this simply because the old media 
latches onto it as a point of controversy.

/chadscoville
/www.riftrouter.cx


-Original Message-
From: Brian Holmes [mailto:bhcontinentaldr...@gmail.com]
Sent: Monday, September 23, 2013 12:20 PM
To: nettim...@kein.org
Subject: Re: nettime The secret financial market only robots can see

 ...


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Re: nettime The secret financial market only robots can see

2013-09-24 Thread Brian Holmes

On 09/23/2013 01:46 AM, nettime's avid reader wrote:


The researchers say there’s much more to learn, especially at the border
where human traders and robotic ones interact. One question is whether
moving at computer speeds is inefficient because there’s less
information available at that time scale—data just can’t move that fast,
even electronically. Laboratory experiments suggest computers are more
efficient on a human time-scale than a sub-second one. And if sub-second
trading does continue, do market participants need to come up with
sub-second hedges and derivatives to protect from this kind volatility?


The question is poorly framed because the authors don't ask: Efficient 
for what? Or even better: What kind of society do we get when profit is 
produced - and economic activity is governed - by agents operating 
outside the perceptual and intellectual grasp of well over 99% of the 
people? Robomarkets then become an advanced case of what has been 
happening since the mathematization and computerization of finance began 
in the 1980s.


I read the scientific text to which the journalistic article refers. 
It's a confirmation of what's already known. The principle of automated 
trading strategies is to provoke microvolatilities and cash in on them. 
Yet those strategies only work well when the markets are already 
volatile, as they were from 2007 onward. Since 2011 (which is outside 
the timeframe of the article), volatility has gone down while 
competition between the high-speed algo-traders has gone up. And now 
the regulators are moving in:


http://tinyurl.com/how-the-robots-lost

In my view, high-speed trading is not the invisible harbinger of a 
future apocalypse. It's just one more symptom of the actual apocalypse.


best, Brian



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