Integrated Analytics' Droid Gives Traders Early Warning
THIS WEEK'S LEAD STORIES
Integrated Analytics, a Los Angeles-based expert systems software developer, is cooking up an intelligent alert system. "MarketDroid" is intended to emulate the behavior of a trader's assistant specially trained to watch market data.
The problem with existing alert systems is that they lack discrimination. Alarms go off too often or too late. Set the alert threshold too high and your entire screen is flashing; too low and you miss the boat. MarketDroid benefits from several earlier projects managed by David Leinweber, chief scientist at Integrated Analytics, for the likes of RAND and Inference Corporation.
Refineries and Securities
PICON, a 'process intelligent control' tool he developed for the process industry was latched on to by numerous Wall Street quants looking to redesign it for financial applications. "But there are certain differences between securities trading and refineries that meant the tool had to change somewhat," says Leinweber.
A trader's alert demonstration developed at Inference Corp. succeeded in using pseudo natural language to express varying degrees of enthusiasm for long or short positions in specific stocks, "but the rules were hard-wired and the system was an incredible churner. It would have you in and out of the same stock five times before lunch," says Leinweber.
MarketDroid maintains market histories, reasons about what recent data mean in the context of that history, gives advice, and explains where the advice came from. MarketDroid uses:
A set of semi-autonomous agents that monitor market events and perform computations to evaluate derived indicators,
Rules to identify patterns of interest in direct and derived data, and,
Tools to allow customization.
The 'Droid can handle any number of securities. Alerts, which appear as anywhere from one to five up or down arrows, are displayed in a scrollable window of variable size. Higher level alarms automatically find their way to the top of the window.
Using Dempster-Shaeffer laws of combination of evidence and variable precision logic, the demonstration version of Marketdroid looks at the following data points:
last price vs. 90-day moving average,
volume over last 5 minutes vs. two-day average,
block volume vs. average block volume
position of last price relative to bid or ask
call volume relative to recent average
put volume relative to recent average
movement of competing stocks
options prices relative to theoretical values
put or call premium trend
Traders may input exceptions to their own rule base and special alarms are programmable. For better or for worse, the MarketDroid can gradually be trained to reflect any individual trader's interpretation of market events.
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: http://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 Data Management
New working group to create open framework for managing rising market data costs
Substantive Research is putting together a working group of market data-consuming firms with the aim of crafting quantitative metrics for market data cost avoidance.
Off-channel messaging (and regulators) still a massive headache for banks
Waters Wrap: Anthony wonders why US regulators are waging a war using fines, while European regulators have chosen a less draconian path.
Back to basics: Data management woes continue for the buy side
Data management platform Fencore helps investment managers resolve symptoms of not having a central data layer.
‘Feature, not a bug’: Bloomberg makes the case for Figi
Bloomberg created the Figi identifier, but ceded all its rights to the Object Management Group 10 years ago. Here, Bloomberg’s Richard Robinson and Steve Meizanis write to dispel what they believe to be misconceptions about Figi and the FDTA.
SS&C builds data mesh to unite acquired platforms
The vendor is using GenAI and APIs as part of the ongoing project.
Aussie asset managers struggle to meet ‘bank-like’ collateral, margin obligations
New margin and collateral requirements imposed by UMR and its regulator, Apra, are forcing buy-side firms to find tools to help.
Where have all the exchange platform providers gone?
The IMD Wrap: Running an exchange is a profitable business. The margins on market data sales alone can be staggering. And since every exchange needs a reliable and efficient exchange technology stack, Max asks why more vendors aren’t diving into this space.
Reading the bones: Citi, BNY, Morgan Stanley invest in AI, alt data, & private markets
Investment arms at large US banks are taken with emerging technologies such as generative AI, alternative and unstructured data, and private markets as they look to partner with, acquire, and invest in leading startups.