Public Trade Execution Analytics

• US 20080077538A1
• Filed: 08/03/2007
• Published: 03/27/2008
• Est. Priority Date: 09/26/2006
• Status: Abandoned Application

• Current Assignee: Gregory Schebece
• Original Assignee: Gregory Schebece
• Inventors: Schebece, Gregory
• Application Number:
  US11/833,383
• Publication Number:
  US 20080077538A1
• Time in Patent Office: Days
• US Class Current: 705/36R
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

The invention is a central data repository that will gather, aggregate, archive and relate various sets of publicly available trade execution, quote and trade print data based on SEC Regulation NMS Rule 605 regulations, order routing data based on SEC Regulation NMS Rule 606 Order Routing Disclosure regulations and market data available from the Consolidated Quotation System “CQS” quote and trade data. The statistical results will be available over the internet through a centralized database with various query functions including historical and charting capabilities.

Claims

1. A consolidated data aggregation, query and viewing method that combines and relates multiple sets of statistical trade and execution data including SEC Regulation NMS Rule 605 Execution Quality Statistics, SEC Regulation NMS Rule 606 Order Routing Percentages and the Consolidated Quotation System trade and quotation data from multiple sources into a centralized database. This database is a turnkey solution for consolidating all publicly available trade and execution data from multiple sources into a single, easy to use repository that will be available on the internet to validated users including the general public. Statistical measures will be retrievable through an internet query tool by a variety of factors including but not limited to period, trading center, broker dealer, order type, order size, symbol and/or statistic type.

2. The method claimed in claim 1, wherein all publicly available market centers'"'"' Rule 605 execution quality reports will be imported, identified, aggregated and parsed into a centralized database and viewable to system users and integrated with Rule 606 broker dealer order routing percentages. This data is usually available in a flat ASCII file format that is impossible for the general public to view and interpret. The data will be categorized by individual security, by five types of orders;

market, marketable limit, at-the-quote limit, inside-the-quote limit, near-the-quote limit and four order sizes;

100-499 shares, 500-1999 shares, 2000-4999 shares, and 5000-9999 shares. The files consist of eleven required columns of information for all orders including but not limited to number of covered orders, number of cumulative shares, number of cumulative cancelled shares, number of shares executed at receiving market, number of shares executed at other venue, number of shares executed 0-9 seconds, number of shares executed 10-29 seconds, number of shares executed 30-59 seconds, number of shares executed 60-299 seconds, number of shares executed from 5-30 minutes, and average realized spread. Plus 9 additional columns for market and marketable limit orders;

including average effective spread, number of shares price improved, average price improvement amount, average speed for price improved shares, number of shares executed At the Quote, average speed for At the Quote, number of shares outside the quote, average amount outside the quote and average speed outside the quote.

3. The method claimed in claim 1, wherein Rule 606 Order Routing Percentages published on the internet by broker dealers will be imported, identified, aggregated and parsed into the central database. Routing percentages of broker dealers will be weighted against all corresponding rule 605 execution quality statistics to provide a theoretical measure of individual broker dealer execution quality. This new method is useful because broker dealer execution quality measures are not required and therefore not currently available to the general public. Formulas will be establish to calculate the weighted average of every applicable rule 605 execution statistic including but not limited to period, security type, venue, share size, and routing percentage, including;

percentage of non-directed orders, percentage of directed orders, percentage of non-directed market orders, percentage of non-directed limit orders and percentage of non-directed other orders.

4. The method claimed in claim 1, wherein market data of all NMS Securities quotes and trades from the Consolidated Quotation system data stream will be aggregated and parsed into the central database for query of new quote performance statistical measures corresponding to new Regulation NMS rules 610 which addresses access to markets, rule 611 which provides intermarket price priority for displayed and accessible quotations and rule 612 which establishes minimum pricing increments. More specifically, formulas will be applied to establish new statistical measures for number and rate of occurrences of manual markets per trading center, number and rate of occurrences for a variety of trade exceptions reported, number and rate of occurrence of a trading center displaying quotes equal, superior, or inferior to the inside bid and ask, number and rate of occurrences of a trading center trading through the best displayed inside quote and number and rate of occurrences of a trading center locking and crossing the best displayed inside quote at any given time during market hours. These measurements are considered new since they pioneer statistical measurements of new regulation NMS rules that are not yet effective at the time of concept of this invention.

5. The method claimed in claim 2, wherein consolidated quotation system trade and quote data will be formulated into Rule 605 like statistics by measuring every trade print against the most previously displayed quote within an applied time-filter. These execution quality measures have only been applied to private order data in the past and not applied to publicly disseminated quote and trade data. The purpose of this new approach is to provide greater insight into trading center quote dissemination performance and trade print quality.