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White Papers

Equinix Whitepaper 12 11M2M 2.0: Rewriting the Rules of Financial Trading Infrastructure

Written by Equinix.

The revolution of distributed trading and its applicability to all market participants is re-writing the rulebooks for trading infrastructure, enhancing agility and efficiency for both high and low frequency traders.

By understanding the competitive advantages of the new rules of Machine to Machine (M2M) 2.0, investment firms can trade smarter inside global multi-tenanted data centers to maximize trading performance, remove connection latency and drive profit from emerging global opportunities.

Automated trading in the financial markets continues to grow, as it is adopted beyond equities into other asset classes, and as its use expands globally.

While some classes of automated trading – such as High Frequency Trading, Arbitrage and Market Making – continue to require a continued focus on reducing latency, from milliseconds to microseconds to nanoseconds, much of the marketplace is not as latency sensitive.

In recent years, a combination of regulatory reforms, market structure evolution and technology innovation have combined to create a new paradigm for the global financial trading markets; one in which the speed at which transactions can be executed is fundamental to the success of market participants.

Put simply, for such a participant – be it an exchange operator, a broker or a trading firm – to win in the new electronic marketplace of complex algorithmic and high-frequency trading (HFT), they have to be faster than their competition. And the margin that separates the winners from the also rans is now measured in microseconds, with nanoseconds not too far off.

Colocation has established itself as the access mechanism for trading firms requiring the fastest possible execution. It’s widely accepted that for firms wanting the lowest latency access to a specific market there is no substitute for placing their trading applications as close as possible to the matching engines themselves, making it the solution of choice for all but those focusing on multi-venue multi-location arbitrage.

But the perception to date has been – and justifiably so – that exchange colocation is a premium service reserved for the larger institutions. For many smaller and remote practitioners – hedge funds and prop traders who lack the IT resource normally associated with colocation – cost is a prohibitive factor in their decision whether to colocate.

High frequency trading (HFT) is now a term recognised by the mainstream. This wide familiarity has coincided with maturity of HFT practices, the explosion in their use, and a flattening out of the potential returns as competition increases.

Early adopters of HFT were able to leverage high-performance technologies to generate vast returns. Today, the environment is tougher, and technology investments are coming under more scrutiny than before, even in the high-performance trading space. Low-latency infrastructure architects are now taking a more strategic approach to connectivity, in order to yield higher performance, both in terms of trading profits and broader functionality benefits.

Mellanox Whitepaper 04 11 This white paper is sponsored and written by Informatica, HP, and Mellanox Technologies.

The securities trading market is experiencing rapid growth in volume and complexity with a greater reliance on trading software, which is supported by sophisticated algorithms. As this market grows, so do the trading volumes, bringing existing IT infrastructure systems to their limits.

In 2010, financial markets participants will continue to expand their trading activities as liquidity increasingly becomes fragmented, seeking alpha in new markets, best execution in dark pools, arbitrage opportunities across the order book and by implementing high frequency and complex, multi-leg, cross asset class strategies.

The successful operations – whether they be the proprietary desks of traditional broker/dealers, specialist high frequency and algorithmic traders, or quantitative hedge funds – will leverage a trading infrastructure that combines high performance analytical, algorithmic and order routing platforms with the lowest latency access to multiple, geographically dispersed execution venues.

This white paper is written and sponsored by Cinnober.

Today speed is crucial to any trading venue that wants to stay competitive. At the same time, with high-frequency trading gaining an increasing share of overall volumes, the ability to manage rising transaction volumes is also a necessity.

In 2007, Cinnober published a white paper which established some best practices for measuring latency in financial markets, and publishing the results in a clear and understandable fashion. Cinnober also disclosed benchmark figures of its own trading platform with a level of transparency seen neither before nor since, showing that the context of the testing environment is of the utmost importance. Since that paper was published, latency has become a widely-used metric.

This Sun Microsystems white paper – written in conjunction with A-Team Group – examines the hotspots within an electronic trading environment and considers routes and technologies that might contribute to reducing or even eliminating latency.

By downloading this white paper you agree to let Low-Latency.com share your contact details with the sponsors.