The Securities Litigation Expert Blog

Accelerant Arbitration Market Indicator Flashes Highest Sell Signal Since 2000

Posted by Jack Duval

Nov 13, 2013 8:38:39 AM

The Accelerant Arbitration Market Indicator printed at 1.42, the highest since 2000.  

Two quick take-aways:

  1. For securities litigators: the lull in filings is probably in the ninth inning;

  2. For investors:  Caveat emptor.

You can also link to the visualization (which also has a comparison of the FINRA arbitration filings and the S&P 500) here.


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Topics: FINRA, Statistics, Data Analysis, litigation, investments, analytics, Accelerant Arbitration Market Indicator, FINRA Arbitration, Law Firm Analytics, Predictive Analytics

Arbitrator Analyzer™ Product Simplifies FINRA Rank and Strike List Review

Posted by Jack Duval

Jun 17, 2013 9:32:35 AM

Accelerant has just released it's newest product, the Arbitration Analyzer.

The Arbitrator Analyzer™ is a tool that enables attorneys to quickly and efficiently review, analyze, evaluate, and drill down on FINRA arbitrators and their publicly available awards.



    • Elegant and simple visual display of arbitrator data;

    • Dynamic, real time filtering by various factors, including: age, number of publicly available awards, and total amount of awards;

    • “At-a-glance” understanding of Rank and Strike list composition;

    • Instant drill down into individual awards;

    • Fast turn around times.

Arbitrator Analyzer from Accelerant LLC on Vimeo.



$700 for basic workup.

Custom analyses available.

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Topics: FINRA, securities, Data Analysis, Rank and Strike List, data analytics, litigation, arbitration, analytics, SEC, Accelerant Products, Law Firm Analytics, Arbitrator Analyzer, product;, Predictive Analytics

Tableau Files for IPO

Posted by Jack Duval

Apr 10, 2013 5:38:14 AM

VentureBeat has coverage of the Tableau IPO filing.  (VB)  The S-1 can be found on EDGAR here.  Goldman Sachs will be the lead underwriter.

Revenues have ramped 10X in the past five years.  The company is only marginally profitable, but that is often true of young companies focused on growing revenue and market share.

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Topics: Statistics, analytics, Goldman Sachs, IPO, Tableau, Complexity, Predictive Analytics, Analytic Talent

Big Data for Big Cities

Posted by Jack Duval

Feb 25, 2013 4:37:43 AM

The internet of things is coming to a city near you.  The New York Times had an interesting article on how real-time data of a cities traffic, water, and energy use can be used to reduce its resource consumption by up to 50 percent. (NYT)

NYU has started a program called the Center for Urban Science and Progress to study the "science of cities".  This is just one more example of how New York is becoming of of the dominate technology hubs on the planet.

The initiative at N.Y.U. is part of a broader trend: the global drive to apply modern sensor, computing and data-sifting technologies to urban environments, in what has become known as “smart city” technology. The goals are big gains in efficiency and quality of life by using digital technology to better manage traffic and curb the consumption of water and electricity, for example. By some estimates, water and electricity use can be cut by 30 to 50 percent over the course of a decade.

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Topics: big data, Statistics, NYU, Complexity, Predictive Analytics, NYT, education

SEC Using Algos to Detect Fraud

Posted by Jack Duval

Feb 19, 2013 2:51:31 AM

The SEC is using algorithmic methods to analyze financial statements from public companies to detect fraud.  (WaPo)

 (the) software package... will stream real-time trade data from the exchanges into the agency’s headquarters. Rather than build the technology from scratch at great expense, the agency purchased it from a New Jersey firm called Tradeworx. The project, called Market Information Data Analytics, or MIDAS, is in the final testing phases.

The SEC has used similar programs to analyze hedge fund returns.  See our previous coverage of SEC uses of big data techniques here.
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Topics: big data, Statistics, Data Analysis, fraud, litigation, analytics, SEC, Compliance, regulation., Predictive Analytics, Analytic Talent

New Predictive Analytics Book

Posted by Jack Duval

Jan 7, 2013 3:10:48 AM

Eric Siegel has a new book out called Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.  You can read the preface here.

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Topics: Eric Siegel, Statistics, Data Analysis, book, Predictive Analytics

Talent Analytics for Salesforce

Posted by Jack Duval

Dec 9, 2012 2:19:47 AM

Talent Analytics is a data driven HR/Recruiting company that offers an app that integrates with Salesforce. (TA)  Very interesting stuff for my recruiting friends.  The videos offer a quick introduction to their offerings.

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Topics: Statistics, HR, recruiting, Talent Analytics, Predictive Analytics, Analytic Talent

Predictive Analytics for Banking Conference

Posted by Jack Duval

Dec 6, 2012 8:45:22 AM

I'm a little late on this, but IE is sponsoring a predictive analytics conference for the banking industry, it runs two days and starts today.  (IE)  Many heavy hitters from the big banks.  I can't go, but it looks very interesting.

You can also get their on-demand content here.

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Topics: IE, Statistics, Data Analysis, finance, banking, risk, Compliance, Predictive Analytics, education

Nate Silver on Sports and Politics

Posted by Jack Duval

Dec 5, 2012 4:24:19 AM

ESPN The Magazine has an interview with Nate Silver on his predictive success with sports and political races.  (ESPN) Money quote:

Compared to politics, sports is much more civil and reasonable.
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Topics: Statistics, Data Analysis, politics, Nate Silver, ESPN, sports, Predictive Analytics

Real-Time Big Data Could Be Next

Posted by Jack Duval

Nov 29, 2012 3:40:00 PM

This blog post continues our expert analysis of complex investments and their regulation.

The New York Times Bits Section has a nice article on Jeff Hawkins and his ideas on real-time big data analysis.  (NYT)  Here's the crux:

“It only makes sense to look at old data if you think the world doesn’t change,” said Mr. Hawkins. “You don’t remember the specific muscles you just used to pick up a coffee cup, or all the words you heard this morning; you might remember some of the ideas.”

If no data needs to be saved over a long term and real-time data can stream in all the information that is needed, a big part of the tech industry has a problem. Data storage companies like EMC and Hewlett-Packard thrive on storing massive amounts of data cheaply. Data analysis companies including Microsoft, I.B.M., and SAS fetch that data and crunch the history to find patterns. They and others rely on both the traditional relational databases from Oracle, and newer “unstructured” databases like Hadoop.

Much of this will be a relic within a few years, according to Mr. Hawkins. “Hadoop won’t go away, but it will manage a lot less stuff,” he said in an interview at Numenta’s headquarters in Redwood City, Calif. “Querying databases won’t matter as much, as people worry instead about millions of streams of real-time data.” In a sensor-rich world of data feeds, he is saying, we will model ourselves more closely on the constant change that is the real world.

If true, this would be a paradigm shift.
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Topics: big data, analysis, Statistics, Data Analysis, Jeff Hawkins, real-time, Complexity, Predictive Analytics, NYT, Analytic Talent

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