Algorithmic Trading special report
Click here to download the PDF
Praising Parameterization
The extent to which algorithmic trading has permeated the financial services industry depends on who you ask. Take, for example, a traditional, equities-only "pick-and-stick" asset manager, which typically employs lengthy investment horizons, and therefore, may only execute a small number of orders during the course of a normal month. Shredding large block trades into smaller child orders as a way of increasing the likelihood of obtaining a fill and reducing market impact and diversifying risk, is not something long-only shops are interested in. But scratch under the surface of a more "adventurous" buy-side entity-any firm that executes large numbers of trades during the course of a typical trading day-and you'll find a small army of home grown, broker-provided, or third-party-developed algorithms hard at work, responsible for determining when to trade, where to trade, how to trade, and how often to trade. This might sound highly sophisticated, but in truth, the market's forerunners have been doing this sort of thing for at least the past decade.
What has changed in recent years, however, is the extent to which providers-both brokers and specialist third-party vendors-have "parameterized" their offerings, allowing users to tweak their parameters on-the-fly, effectively changing the algorithm's behaviour without affecting its core logic. This means that in the event that traders believe market conditions have changed from what they were when the algorithm was initially deployed-which can undermine the algo's efficacy-they can modify any number of parameters, thereby maintaining its level of specificity and effectiveness. In the past, end-users were most often forced to rely on their algo developers to make the necessary tweaks, a process that was both long-winded and laborious. In the algorithmic trading roundtable on page 4, there is frequent reference by our four panelists to the importance of parameterization, and the extent to which it allows buy-side and sell-side practitioners to differentiate themselves in what has become a crowded and highly competitive space.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
CME marks cloud migration milestones, new FIX guidance for brokers, and more
The Waters Cooler: A recap of the major tech and data news from the past week in the capital markets.
How Quoniam boosted its sentiment strategy by adding an LLM
The asset manager’s upgraded system creates scores from more-informative forward-looking parts of news.
WatersTechnology latest edition
Check out our latest edition, plus more than 14 years of our best content.
Tech and data fragmentation irks enterprise risk managers
Often at the mercy of decisions made by other parts of the bank, ERM heads gripe at disparate systems, poor UX, and reporting gaps.
When trading systems disagree: a deterministic architecture for event sequencing
Modern trading platforms execute millions of events at extraordinary speed, but speed alone does not ensure that every downstream system shares the same view of reality, says Gaurav Tiwari.
Goldman exec: Dec. 6 a ‘lighthouse’ for EU T+1 readiness
Officials from JP Morgan, the European Central Bank, the National Securities Depository, and Goldman Sachs explained how T+1 preparation needs to be different in the EU than in the US, while speaking at Sibos.
Month-long power glitch hits key APAC trade surveillance tool
Nasdaq’s alert functions were restored, but users say testing and calibration tools were still disrupted.
Bankers question value of round-the-clock trading
BNY and State Street execs predict the arrival of extended-hours trading will come with a hefty price tag for industry firms.