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T
rading is a business that has never been
renowned for its charity and in today’s
auto/algo trading environment that
reputation has only hardened. With thousands of
smart professionals chasing the same brief
inefficiencies, the only position in the order race that
matters is first. Little wonder therefore that
proximity hosting of auto/algo trading strategies has
become so popular. However, the selection of that
hosting facility can be something of decision-making
minefield.
Get me to the show on time
It is tempting to assume that data centres are purely
about cutting latency through proximity. That is of
course a major consideration, but facility is also
critical. Particularly in the high-frequency trading
spectrum, an individual model’s ability to capture
profitable inefficiencies has an ever-decreasing half
life. Where once a model might remain viable for
years, it is now increasingly common for
performance to decay in a matter of days or even
hours. The ferocious level of competition among the
technologically well-armed means that slow
deployment will leave a model attempting to capture
inefficiencies that no longer exist.
In such an environment, implementation latency is a
key factor. Every hour of delay in deploying a
trading model in a new market spells lost
opportunities and increases the risk that the model
will arrive after the party is over. Therefore
proximity and trading applicaion hosting providers
have to be capable of implementation times
measured in hours, not days or weeks.
‘Bare bones’, full service or somewhere in
between?
Proximity and trading application hosting services
typically consist of four broad options:
070 Automated Trader | Q1 2008
Proximity
Hosting:
Plug’n’Trade or
Pay’n’Wait?
Proximity and trading application
hosting have been some of the
fastest growing areas in the evolution
of automated and algorithmic
trading. Mark Thornberry, Managing
Director at RTS Realtime Systems,
London, discusses some of the main
considerations for traders evaluating
its various flavours.
Mark Thornberry, Managing Director
at RTS Realtime Systems, London
Sponsored Statement
Q1 2008 | Automated Trader 071
1. Rack space in a facility close to the trading venue;
2. Rack space plus service provider access to the
trading venue’s gateway;
3. Provider-maintained servers plus service provider
access to the trading; venue’s gateway; or
4. Provider-maintained servers and trading software,
plus service provider access to the trading venue’s
gateway.
Individual circumstances will obviously dictate which
option the trading business will choose, but each has
its pros/cons.
• Rack space in a facility close to the trading venue
The ‘bare bones’ option offers considerable flexibility,
but will typically only be appropriate for those less
sensitive to implementation latency and with deeper
pockets. Negotiating and connecting direct to
trading venue gateways is non-trivial in terms of
both cost and time. For the majority of trading
businesses, the substantial charges levied by trading
venues for this ‘go direct’ approach will be a major
deterrent.
A further consideration with the ‘bare bones’ option
is power. The explosion in demand for proximity and
trading application hosting has created an
unprecedented demand for power, so that in some
facilities the amperage available to each rack unit is
already inadequate. (Notwithstanding the fact that
the introduction of more efficient CPUs has reduced
power requirements per unit of rack space.)
Therefore businesses considering this option need to
ask potential providers searching questions about
their power provision, both now and in the future.
• The ‘fuller service’ options
The other three options dispense with the cost/time
hurdle of having to deal with the trading venue
direct. A service provider that offers gateway access
will be able to amortise the costs of venue
connectivity across multiple clients to offer lower
cost per client. (Note that this does not imply that
multiple clients will be using one gateway.)
Options 2 and 3 are well suited to trading firms who
have a legacy code base that they do not wish to
rewrite in order to run on the provider’s trading
application, but who nevertheless require a fast,
standardised API to connect to multiple markets.
Those trading businesses considering Option 4 need
to be sure that the provider can offer the necessary
support for rapid porting of existing trading models
to the provider’s trading application.
A further consideration for fuller service options is the
provider’s testing capabilities. A production
environment is one thing, knowing that trading models
will run as expected within it is quite another. A testing
environment that accurately simulates interaction both
with trading gateways and (in the case of Option 4) also
the trading application is essential. Furthermore, the
transfer from testing to production environment should
be trivial if implementation latency is to be avoided.
Global coverage
One of the strongest recent trends in proximity and
trading application hosting has been the huge
increase in demand for global footprint. This has
been driven by two particular developments: traders
looking to leverage existing models by deploying
them in new markets; and multi-asset class trading.
An important distinction is that some providers claim
to offer connectivity to multiple markets around the
world, but only offer this from a extremely limited
range of data centre locations – with obvious negative
implications for latency. Therefore the number and
proximity of the individual hosting locations is vital –
as is the provider’s long-term commitment to
expanding these locations to ensure optimal
performance per market in the future.
For those looking to trade multi-asset strategies across
diverse physical locations, the provider has to be able to
guarantee first-rate connectivity across all its hosting
sites. If a model always trades the first leg of a trade in
Chicago and subsequent legs in London and Frankfurt,
then the connection quality across those locations must
be impeccable. As part of this, connectivity must be
optimised to minimise unnecessary hops, so the second
and third legs of the trade can be sent straight to the
London and Frankfurt trading venue gateways and not
via servers in those locations.
Covering all the bases
For a trading organisation looking to trade rather
than manage infrastructure, a provider that can offer
Options 2, 3 and 4 is ideal. Apart from avoiding the
technological headaches, such a provider also allows
the organisation exceptional flexibility as regards its
future business strategy. If the provider can also tick
the boxes as regards implementation time,
connectivity, location and testing environment then
the trading organisation will be able to focus on its
core business comfortable in the knowledge that
everything else is in safe hands.

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Proximity Hosting

  • 1. T rading is a business that has never been renowned for its charity and in today’s auto/algo trading environment that reputation has only hardened. With thousands of smart professionals chasing the same brief inefficiencies, the only position in the order race that matters is first. Little wonder therefore that proximity hosting of auto/algo trading strategies has become so popular. However, the selection of that hosting facility can be something of decision-making minefield. Get me to the show on time It is tempting to assume that data centres are purely about cutting latency through proximity. That is of course a major consideration, but facility is also critical. Particularly in the high-frequency trading spectrum, an individual model’s ability to capture profitable inefficiencies has an ever-decreasing half life. Where once a model might remain viable for years, it is now increasingly common for performance to decay in a matter of days or even hours. The ferocious level of competition among the technologically well-armed means that slow deployment will leave a model attempting to capture inefficiencies that no longer exist. In such an environment, implementation latency is a key factor. Every hour of delay in deploying a trading model in a new market spells lost opportunities and increases the risk that the model will arrive after the party is over. Therefore proximity and trading applicaion hosting providers have to be capable of implementation times measured in hours, not days or weeks. ‘Bare bones’, full service or somewhere in between? Proximity and trading application hosting services typically consist of four broad options: 070 Automated Trader | Q1 2008 Proximity Hosting: Plug’n’Trade or Pay’n’Wait? Proximity and trading application hosting have been some of the fastest growing areas in the evolution of automated and algorithmic trading. Mark Thornberry, Managing Director at RTS Realtime Systems, London, discusses some of the main considerations for traders evaluating its various flavours. Mark Thornberry, Managing Director at RTS Realtime Systems, London Sponsored Statement
  • 2. Q1 2008 | Automated Trader 071 1. Rack space in a facility close to the trading venue; 2. Rack space plus service provider access to the trading venue’s gateway; 3. Provider-maintained servers plus service provider access to the trading; venue’s gateway; or 4. Provider-maintained servers and trading software, plus service provider access to the trading venue’s gateway. Individual circumstances will obviously dictate which option the trading business will choose, but each has its pros/cons. • Rack space in a facility close to the trading venue The ‘bare bones’ option offers considerable flexibility, but will typically only be appropriate for those less sensitive to implementation latency and with deeper pockets. Negotiating and connecting direct to trading venue gateways is non-trivial in terms of both cost and time. For the majority of trading businesses, the substantial charges levied by trading venues for this ‘go direct’ approach will be a major deterrent. A further consideration with the ‘bare bones’ option is power. The explosion in demand for proximity and trading application hosting has created an unprecedented demand for power, so that in some facilities the amperage available to each rack unit is already inadequate. (Notwithstanding the fact that the introduction of more efficient CPUs has reduced power requirements per unit of rack space.) Therefore businesses considering this option need to ask potential providers searching questions about their power provision, both now and in the future. • The ‘fuller service’ options The other three options dispense with the cost/time hurdle of having to deal with the trading venue direct. A service provider that offers gateway access will be able to amortise the costs of venue connectivity across multiple clients to offer lower cost per client. (Note that this does not imply that multiple clients will be using one gateway.) Options 2 and 3 are well suited to trading firms who have a legacy code base that they do not wish to rewrite in order to run on the provider’s trading application, but who nevertheless require a fast, standardised API to connect to multiple markets. Those trading businesses considering Option 4 need to be sure that the provider can offer the necessary support for rapid porting of existing trading models to the provider’s trading application. A further consideration for fuller service options is the provider’s testing capabilities. A production environment is one thing, knowing that trading models will run as expected within it is quite another. A testing environment that accurately simulates interaction both with trading gateways and (in the case of Option 4) also the trading application is essential. Furthermore, the transfer from testing to production environment should be trivial if implementation latency is to be avoided. Global coverage One of the strongest recent trends in proximity and trading application hosting has been the huge increase in demand for global footprint. This has been driven by two particular developments: traders looking to leverage existing models by deploying them in new markets; and multi-asset class trading. An important distinction is that some providers claim to offer connectivity to multiple markets around the world, but only offer this from a extremely limited range of data centre locations – with obvious negative implications for latency. Therefore the number and proximity of the individual hosting locations is vital – as is the provider’s long-term commitment to expanding these locations to ensure optimal performance per market in the future. For those looking to trade multi-asset strategies across diverse physical locations, the provider has to be able to guarantee first-rate connectivity across all its hosting sites. If a model always trades the first leg of a trade in Chicago and subsequent legs in London and Frankfurt, then the connection quality across those locations must be impeccable. As part of this, connectivity must be optimised to minimise unnecessary hops, so the second and third legs of the trade can be sent straight to the London and Frankfurt trading venue gateways and not via servers in those locations. Covering all the bases For a trading organisation looking to trade rather than manage infrastructure, a provider that can offer Options 2, 3 and 4 is ideal. Apart from avoiding the technological headaches, such a provider also allows the organisation exceptional flexibility as regards its future business strategy. If the provider can also tick the boxes as regards implementation time, connectivity, location and testing environment then the trading organisation will be able to focus on its core business comfortable in the knowledge that everything else is in safe hands.