
[Federal Register Volume 76, Number 8 (Wednesday, January 12, 2011)]
[Notices]
[Pages 2164-2168]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2011-431]


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SECURITIES AND EXCHANGE COMMISSION

[Release No. 34-63641; File No. SR-NASDAQ-2010-172]


Self-Regulatory Organizations; The NASDAQ Stock Market LLC; 
Notice of Filing and Immediate Effectiveness of Proposed Rule Change To 
Extend Fee Pilot Program for NASDAQ Last Sale

January 4, 2011.
    Pursuant to Section 19(b)(1) of the Securities Exchange Act of 1934 
(the ``Act'') \1\ and Rule 19b-4 thereunder,\2\ notice is hereby given 
that on December 29, 2010, The NASDAQ Stock Market LLC (``NASDAQ'' or 
the ``Exchange'') filed with the Securities and Exchange Commission 
(the ``Commission'') the proposed rule change as described in Items I, 
II, and III below, which Items have been prepared by the Exchange. The 
Commission is publishing this notice to solicit comments on the 
proposed rule change from interested persons.
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    \1\ 15 U.S.C. 78s(b)(1).
    \2\ 17 CFR 240.19b-4.
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I. Self-Regulatory Organization's Statement of the Terms of Substance 
of the Proposed Rule Change

    NASDAQ is proposing to extend for three months the fee pilot 
pursuant to which NASDAQ distributes the NASDAQ Last Sale (``NLS'') 
market data products. NLS allows data distributors to have access to 
real-time market data for a capped fee, enabling those distributors to 
provide free access to the data to millions of individual investors via 
the internet and television. Specifically, NASDAQ offers the ``NASDAQ 
Last Sale for NASDAQ'' and ``NASDAQ Last Sale for NYSE/Amex'' data 
feeds containing last sale activity in US equities within the NASDAQ 
Market Center and reported to the jointly-operated FINRA/NASDAQ Trade 
Reporting Facility (``FINRA/NASDAQ TRF''), which is jointly operated by 
NASDAQ and the Financial Industry Regulatory Authority (``FINRA''). The 
purpose of this proposal is to extend the existing pilot program for 
three months, from January 1, 2011 through March 31, 2011.
    This pilot program supports the aspiration of Regulation NMS to 
increase the availability of proprietary data by allowing market forces 
to determine the amount of proprietary market data information that is 
made available to the public and at what price. During the pilot 
period, the program has vastly increased the availability of NASDAQ 
proprietary market data to individual investors. Based upon data from 
NLS distributors, NASDAQ believes that since its launch in July 2008, 
the NLS data has been viewed by over 50,000,000 investors on Web sites 
operated by Google, Interactive Data, and Dow Jones, among others.
    The text of the proposed rule change is below. Proposed new 
language is italicized; proposed deletions are in brackets.
* * * * *
7039. NASDAQ Last Sale Data Feeds
    (a) For a three month pilot period commencing on [October] January 
1, [2010] 2011, NASDAQ shall offer two proprietary data feeds 
containing real-time last sale information for trades executed on 
NASDAQ or reported to the

[[Page 2165]]

NASDAQ/FINRA Trade Reporting Facility.
    (1)-(2) No change.
    (b)-(c) No change.
* * * * *

II. Self-Regulatory Organization's Statement of the Purpose of, and 
Statutory Basis for, the Proposed Rule Change

    In its filing with the Commission, NASDAQ included statements 
concerning the purpose of, and basis for, the proposed rule change. The 
text of these statements may be examined at the places specified in 
Item III below, and is set forth in Sections A, B, and C below.

A. Self-Regulatory Organization's Statement of the Purpose of, and the 
Statutory Basis for, the Proposed Rule Change

1. Purpose
    Prior to the launch of NLS, public investors that wished to view 
market data to monitor their portfolios generally had two choices: (1) 
Pay for real-time market data or (2) use free data that is 15 to 20 
minutes delayed. To increase consumer choice, NASDAQ proposed a pilot 
to offer access to real-time market data to data distributors for a 
capped fee, enabling those distributors to disseminate the data at no 
cost to millions of internet users and television viewers. NASDAQ now 
proposes a three-month extension of that pilot program, subject to the 
same fee structure as is applicable today.\3\
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    \3\ NASDAQ previously stated that it would file a proposed rule 
change to make the NLS pilot fees permanent. NASDAQ has also 
informed Commission staff that it is consulting with FINRA to 
develop a proposed rule change by FINRA to allow inclusion of FINRA/
NASDAQ TRF data in NLS on a permanent basis. However, FINRA and 
NASDAQ have not completed their consultations regarding such a 
proposed rule change. Accordingly, NASDAQ is filing to seek a three-
month extension of the existing pilot.
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    NLS consists of two separate ``Level 1'' products containing last 
sale activity within the NASDAQ market and reported to the jointly-
operated FINRA/NASDAQ TRF. First, the ``NASDAQ Last Sale for NASDAQ'' 
data product is a real-time data feed that provides real-time last sale 
information including execution price, volume, and time for executions 
occurring within the NASDAQ system as well as those reported to the 
FINRA/NASDAQ TRF. Second, the ``NASDAQ Last Sale for NYSE/Amex'' data 
product provides real-time last sale information including execution 
price, volume, and time for NYSE- and NYSE Amex-securities executions 
occurring within the NASDAQ system as well as those reported to the 
FINRA/NASDAQ TRF.
    NASDAQ established two different pricing models, one for clients 
that are able to maintain username/password entitlement systems and/or 
quote counting mechanisms to account for usage, and a second for those 
that are not. Firms with the ability to maintain username/password 
entitlement systems and/or quote counting mechanisms are eligible for a 
specified fee schedule for the NASDAQ Last Sale for NASDAQ Product and 
a separate fee schedule for the NASDAQ Last Sale for NYSE/Amex Product. 
Firms that are unable to maintain username/password entitlement systems 
and/or quote counting mechanisms also have multiple options for 
purchasing the NASDAQ Last Sale data. These firms choose between a 
``Unique Visitor'' model for internet delivery or a ``Household'' model 
for television delivery. Unique Visitor and Household populations must 
be reported monthly and must be validated by a third-party vendor or 
ratings agency approved by NASDAQ at NASDAQ's sole discretion. In 
addition, to reflect the growing confluence between these media 
outlets, NASDAQ offered a reduction in fees when a single distributor 
distributes NASDAQ Last Sale Data Products via multiple distribution 
mechanisms.
    Second, NASDAQ established a cap on the monthly fee, currently set 
at $50,000 per month for all NASDAQ Last Sale products. The fee cap 
enables NASDAQ to compete effectively against other exchanges that also 
offer last sale data for purchase or at no charge.
    As with the distribution of other NASDAQ proprietary products, all 
distributors of the NASDAQ Last Sale for NASDAQ and/or NASDAQ Last Sale 
for NYSE/Amex products pay a single $1,500/month NASDAQ Last Sale 
Distributor Fee in addition to any applicable usage fees. The $1,500 
monthly fee applies to all distributors and does not vary based on 
whether the distributor distributes the data internally or externally 
or distributes the data via both the Internet and television.
2. Statutory Basis
    NASDAQ believes that the proposed rule change is consistent with 
the provisions of Section 6 of the Act,\4\ in general, and with Section 
6(b)(4) of the Act,\5\ in particular, in that it provides an equitable 
allocation of reasonable fees among users and recipients of the data. 
In adopting Regulation NMS, the Commission granted self-regulatory 
organizations and broker-dealers increased authority and flexibility to 
offer new and unique market data to the public. It was believed that 
this authority would expand the amount of data available to consumers, 
and also spur innovation and competition for the provision of market 
data.
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    \4\ 15 U.S.C. 78f.
    \5\ 15 U.S.C. 78f(b)(4).
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    NASDAQ believes that its NASDAQ Last Sale market data products are 
precisely the sort of market data product that the Commission 
envisioned when it adopted Regulation NMS. The Commission concluded 
that Regulation NMS--by lessening regulation of the market in 
proprietary data--would itself further the Act's goals of facilitating 
efficiency and competition:

    [E]fficiency is promoted when broker-dealers who do not need the 
data beyond the prices, sizes, market center identifications of the 
NBBO and consolidated last sale information are not required to 
receive (and pay for) such data. The Commission also believes that 
efficiency is promoted when broker-dealers may choose to receive 
(and pay for) additional market data based on their own internal 
analysis of the need for such data.\6\
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    \6\ Securities Exchange Act Release No. 51808 (June 9, 2005), 70 
FR 37496 (June 29, 2005).

By removing ``unnecessary regulatory restrictions'' on the ability of 
exchanges to sell their own data, Regulation NMS advanced the goals of 
the Act and the principles reflected in its legislative history. If the 
free market should determine whether proprietary data is sold to 
broker-dealers at all, it follows that the price at which such data is 
sold should be set by the market as well.
    The recent decision of the United States Court of Appeals for the 
District of Columbia Circuit in NetCoalition v. SEC, No. 09-1042 (DC 
Cir. 2010) upheld the Commission's reliance upon competitive markets to 
set reasonable and equitably allocated fees for market data. ``In fact, 
the legislative history indicates that the Congress intended that the 
market system `evolve through the interplay of competitive forces as 
unnecessary regulatory restrictions are removed' and that the SEC wield 
its regulatory power `in those situations where competition may not be 
sufficient,' such as in the creation of a `consolidated transactional 
reporting system.' '' NetCoalition, at 15 (quoting H.R.Rep. No. 94-229, 
at 92 (1975), as reprinted in 1975 U.S.C.C.A.N. 321, 323).
    The court agreed with the Commission's conclusion that ``Congress 
intended that `competitive forces should dictate the services and 
practices that

[[Page 2166]]

constitute the U.S. national market system for trading equity 
securities.' '' \7\
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    \7\ NetCoalition v. SEC at p. 16.
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    The Court in NetCoalition, while upholding the Commission's 
conclusion that competitive forces may be relied upon to establish the 
fairness of prices, nevertheless concluded that the record in that case 
did not adequately support the Commission's conclusions as to the 
competitive nature of the market for NYSEArca's data product at issue 
in that case. As explained below in NASDAQ's Statement on Burden on 
Competition, however, NASDAQ believes that there is substantial 
evidence of competition in the marketplace for data that was not in the 
record in the NetCoalition case, and that the Commission is entitled to 
rely upon such evidence in concluding that the fees established in this 
filing are the product of competition, and therefore in accordance with 
the relevant statutory standards.\8\
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    \8\ It should also be noted that Section 916 of Dodd-Frank Wall 
Street Reform and Consumer Protection Act of 2010 (``Dodd-Frank 
Act'') has amended paragraph (A) of Section 19(b)(3) of the Act, 15 
U.S.C. 78s(b)(3) to make it clear that all exchange fees, including 
fees for market data, may be filed by exchanges on an immediately 
effective basis. Although this change in the law does not alter the 
Commission's authority to evaluate and ultimately disapprove 
exchange rules if it concludes that they are not consistent with the 
Act, it unambiguously reflects a conclusion that market data fee 
changes do not require prior Commission review before taking effect, 
and that a formal proceeding with regard to a particular fee change 
is required only if the Commission determines that it is necessary 
or appropriate to suspend the fee and institute such a proceeding.
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B. Self-Regulatory Organization's Statement on Burden on Competition

    NASDAQ does not believe that the proposed rule change will result 
in any burden on competition that is not necessary or appropriate in 
furtherance of the purposes of the Act, as amended. NASDAQ's ability to 
price its Last Sale Data Products is constrained by (1) competition 
between exchanges and other trading platforms that compete with each 
other in a variety of dimensions; (2) the existence of inexpensive 
real-time consolidated data and free delayed consolidated data; and (3) 
the inherent contestability of the market for proprietary last sale 
data.
    The market for proprietary last sale data products is currently 
competitive and inherently contestable because there is fierce 
competition for the inputs necessary to the creation of proprietary 
data and strict pricing discipline for the proprietary products 
themselves. Numerous exchanges compete with each other for listings, 
trades, and market data itself, providing virtually limitless 
opportunities for entrepreneurs who wish to produce and distribute 
their own market data. This proprietary data is produced by each 
individual exchange, as well as other entities, in a vigorously 
competitive market.
    Transaction execution and proprietary data products are 
complementary in that market data is both an input and a byproduct of 
the execution service. In fact, market data and trade execution are a 
paradigmatic example of joint products with joint costs. The decision 
whether and on which platform to post an order will depend on the 
attributes of the platform where the order can be posted, including the 
execution fees, data quality and price and distribution of its data 
products. Without trade executions, exchange data products cannot 
exist. Moreover, data products are valuable to many end users only 
insofar as they provide information that end users expect will assist 
them or their customers in making trading decisions.
    The costs of producing market data include not only the costs of 
the data distribution infrastructure, but also the costs of designing, 
maintaining, and operating the exchange's transaction execution 
platform and the cost of regulating the exchange to ensure its fair 
operation and maintain investor confidence. The total return that a 
trading platform earns reflects the revenues it receives from both 
products and the joint costs it incurs. Moreover, an exchange's broker-
dealer customers view the costs of transaction executions and of data 
as a unified cost of doing business with the exchange. A broker-dealer 
will direct orders to a particular exchange only if the expected 
revenues from executing trades on the exchange exceed net transaction 
execution costs and the cost of data that the broker-dealer chooses to 
buy to support its trading decisions (or those of its customers). The 
choice of data products is, in turn, a product of the value of the 
products in making profitable trading decisions. If the cost of the 
product exceeds its expected value, the broker-dealer will choose not 
to buy it. Moreover, as a broker-dealer chooses to direct fewer orders 
to a particular exchange, the value of the product to that broker-
dealer decreases, for two reasons. First, the product will contain less 
information, because executions of the broker-dealer's orders will not 
be reflected in it. Second, and perhaps more important, the product 
will be less valuable to that broker-dealer because it does not provide 
information about the venue to which it is directing its orders. Data 
from the competing venue to which the broker-dealer is directing orders 
will become correspondingly more valuable.
    Similarly, in the case of products such as NLS that are distributed 
through market data vendors, the vendors provide price discipline for 
proprietary data products because they control the primary means of 
access to end users. Vendors impose price restraints based upon their 
business models. For example, vendors such as Bloomberg and Reuters 
that assess a surcharge on data they sell may refuse to offer 
proprietary products that end users will not purchase in sufficient 
numbers. Internet portals, such as Google, impose a discipline by 
providing only data that will enable them to attract ``eyeballs'' that 
contribute to their advertising revenue. Retail broker-dealers, such as 
Schwab and Fidelity, offer their customers proprietary data only if it 
promotes trading and generates sufficient commission revenue. Although 
the business models may differ, these vendors' pricing discipline is 
the same: They can simply refuse to purchase any proprietary data 
product that fails to provide sufficient value. NASDAQ and other 
producers of proprietary data products must understand and respond to 
these varying business models and pricing disciplines in order to 
market proprietary data products successfully. Moreover, NASDAQ 
believes that products such as NLS can enhance order flow to NASDAQ by 
providing more widespread distribution of information about 
transactions in real time, thereby encouraging wider participation in 
the market by investors with access to the internet or television. 
Conversely, the value of such products to distributors and investors 
decreases if order flow falls, because the products contain less 
content.
    Analyzing the cost of market data distribution in isolation from 
the cost of all of the inputs supporting the creation of market data 
will inevitably underestimate the cost of the data. Thus, because it is 
impossible to create data without a fast, technologically robust, and 
well-regulated execution system, system costs and regulatory costs 
affect the price of market data. It would be equally misleading, 
however, to attribute all of the exchange's costs to the market data 
portion of an exchange's joint product. Rather, all of the exchange's 
costs are incurred for the unified purposes of attracting order flow, 
executing and/or routing orders, and generating and selling data about 
market activity. The total return that an exchange earns reflects the 
revenues it receives from the joint products and the total costs of the 
joint products.

[[Page 2167]]

    Competition among trading platforms can be expected to constrain 
the aggregate return each platform earns from the sale of its joint 
products, but different platforms may choose from a range of possible, 
and equally reasonable, pricing strategies as the means of recovering 
total costs. For example, some platform may choose to pay rebates to 
attract orders, charge relatively low prices for market information (or 
provide information free of charge) and charge relatively high prices 
for accessing posted liquidity. Other platforms may choose a strategy 
of paying lower rebates (or no rebates) to attract orders, setting 
relatively high prices for market information, and setting relatively 
low prices for accessing posted liquidity. In this environment, there 
is no economic basis for regulating maximum prices for one of the joint 
products in an industry in which suppliers face competitive constraints 
with regard to the joint offering. This would be akin to strictly 
regulating the price that an automobile manufacturer can charge for car 
sound systems despite the existence of a highly competitive market for 
cars and the availability of after-market alternatives to the 
manufacturer-supplied system.
    The level of competition and contestability in the market is 
evident in the numerous alternative venues that compete for order flow, 
including ten self-regulatory organization (``SRO'') markets, as well 
as internalizing broker-dealers (``BDs'') and various forms of 
alternative trading systems (``ATSs''), including dark pools and 
electronic communication networks (``ECNs''). Each SRO market competes 
to produce transaction reports via trade executions, and two FINRA-
regulated Trade Reporting Facilities (``TRFs'') compete to attract 
internalized transaction reports. It is common for BDs to further and 
exploit this competition by sending their order flow and transaction 
reports to multiple markets, rather than providing them all to a single 
market. Competitive markets for order flow, executions, and transaction 
reports provide pricing discipline for the inputs of proprietary data 
products.
    The large number of SROs, TRFs, BDs, and ATSs that currently 
produce proprietary data or are currently capable of producing it 
provides further pricing discipline for proprietary data products. Each 
SRO, TRF, ATS, and BD is currently permitted to produce proprietary 
data products, and many currently do or have announced plans to do so, 
including NASDAQ, NYSE, NYSE Amex, NYSEArca, and BATS.
    Any ATS or BD can combine with any other ATS, BD, or multiple ATSs 
or BDs to produce joint proprietary data products. Additionally, order 
routers and market data vendors can facilitate single or multiple BDs' 
production of proprietary data products. The potential sources of 
proprietary products are virtually limitless.
    The fact that proprietary data from ATSs, BDs, and vendors can by-
pass SROs is significant in two respects. First, non-SROs can compete 
directly with SROs for the production and sale of proprietary data 
products, as BATS and Arca did before registering as exchanges by 
publishing proprietary book data on the Internet. Second, because a 
single order or transaction report can appear in an SRO proprietary 
product, a non-SRO proprietary product, or both, the data available in 
proprietary products is exponentially greater than the actual number of 
orders and transaction reports that exist in the marketplace.
    In addition to the competition and price discipline described 
above, the market for proprietary data products is also highly 
contestable because market entry is rapid, inexpensive, and profitable. 
The history of electronic trading is replete with examples of entrants 
that swiftly grew into some of the largest electronic trading platforms 
and proprietary data producers: Archipelago, Bloomberg Tradebook, 
Island, RediBook, Attain, TracECN, BATS Trading and Direct Edge. Today, 
BATS publishes its data at no charge on its Web site in order to 
attract order flow, and it uses market data revenue rebates from the 
resulting executions to maintain low execution charges for its users. A 
proliferation of dark pools and other ATSs operate profitably with 
fragmentary shares of consolidated market volume.
    Regulation NMS, by deregulating the market for proprietary data, 
has increased the contestability of that market. While broker-dealers 
have previously published their proprietary data individually, 
Regulation NMS encourages market data vendors and broker-dealers to 
produce proprietary products cooperatively in a manner never before 
possible. Multiple market data vendors already have the capability to 
aggregate data and disseminate it on a profitable scale, including 
Bloomberg, Reuters and Thomson.
    The competitive nature of the market for products such as NLS is 
borne out by the performance of the market. In May 2008, the internet 
portal Yahoo! began offering its Web site viewers real-time last sale 
data provided by BATS Trading. NLS competes directly with the BATS 
product that is still disseminated via Yahoo! The New York Stock 
Exchange also distributes competing last sale data products at a price 
comparable to the price of NLS. Under the regime of Regulation NMS, 
there is no limit to the number of competing products that can be 
developed quickly and at low cost.
    Moreover, consolidated data provides two additional measures of 
pricing discipline for proprietary data products that are a subset of 
the consolidated data stream. First, the consolidated data is widely 
available in real-time at $1 per month for non-professional users. 
Second, consolidated data is also available at no cost with a 15- or 
20-minute delay. Because consolidated data contains marketwide 
information, it effectively places a cap on the fees assessed for 
proprietary data (such as last sale data) that is simply a subset of 
the consolidated data. The mere availability of low-cost or free 
consolidated data provides a powerful form of pricing discipline for 
proprietary data products that contain data elements that are a subset 
of the consolidated data, by highlighting the optional nature of 
proprietary products.
    In this environment, a super-competitive increase in the fees 
charged for either transactions or data has the potential to impair 
revenues from both products. ``No one disputes that competition for 
order flow is `fierce'.'' NetCoalition at 24. The existence of fierce 
competition for order flow implies a high degree of price sensitivity 
on the part of broker-dealers with order flow, since they may readily 
reduce costs by directing orders toward the lowest-cost trading venues. 
A broker-dealer that shifted its order flow from one platform to 
another in response to order execution price differentials would both 
reduce the value of that platform's market data and reduce its own need 
to consume data from the disfavored platform. If a platform increases 
its market data fees, the change will affect the overall cost of doing 
business with the platform, and affected broker-dealers will assess 
whether they can lower their trading costs by directing orders 
elsewhere and thereby lessening the need for the more expensive data. 
Similarly, increases in the cost of NLS would impair the willingness of 
distributors to take a product for which there are numerous 
alternatives, impacting NLS data revenues, the value of NLS as a tool 
for attracting order flow, and ultimately, the volume of orders routed 
to NASDAQ and the value of its other data products.
    In establishing the price for the NASDAQ Last Sale Products, NASDAQ 
considered the competitiveness of the market for last sale data and all 
of the

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implications of that competition. NASDAQ believes that it has 
considered all relevant factors and has not considered irrelevant 
factors in order to establish a fair, reasonable, and not unreasonably 
discriminatory fees and an equitable allocation of fees among all 
users. The existence of numerous alternatives to NLS, including real-
time consolidated data, free delayed consolidated data, and proprietary 
data from other sources ensures that NASDAQ cannot set unreasonable 
fees, or fees that are unreasonably discriminatory, without losing 
business to these alternatives. Accordingly, NASDAQ believes that the 
acceptance of the NLS product in the marketplace demonstrates the 
consistency of these fees with applicable statutory standards.

C. Self-Regulatory Organization's Statement on Comments on the Proposed 
Rule Change Received From Members, Participants, or Others

    Three comment letters were filed regarding the proposed rule change 
as originally published for comment NASDAQ responded to these comments 
in a letter dated December 13, 2007. Both the comment letters and 
NASDAQ's response are available on the SEC Web site at http://www.sec.gov/comments/sr-nasdaq-2006-060/nasdaq2006060.shtml.

III. Date of Effectiveness of the Proposed Rule Change and Timing for 
Commission Action

    The foregoing rule change has become effective pursuant to Section 
19(b)(3)(A)(ii) of the Act.\9\ At any time within 60 days of the filing 
of the proposed rule change, the Commission summarily may temporarily 
suspend such rule change if it appears to the Commission that such 
action is necessary or appropriate in the public interest, for the 
protection of investors, or otherwise in furtherance of the purposes of 
the Act. If the Commission takes such action, the Commission shall 
institute proceedings to determine whether the proposed rule should be 
approved or disapproved.
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    \9\ 15 U.S.C. 78s(b)(3)(a)(ii).
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IV. Solicitation of Comments

    Interested persons are invited to submit written data, views, and 
arguments concerning the foregoing, including whether the proposed rule 
change is consistent with the Act. Comments may be submitted by any of 
the following methods:

Electronic Comments

     Use the Commission's Internet comment form (http://www.sec.gov/rules/sro.shtml); or
     Send an e-mail to rule-comments@sec.gov. Please include 
File Number SR-NASDAQ-2010-172 on the subject line.

Paper Comments

     Send paper comments in triplicate to Elizabeth M. Murphy, 
Secretary, Securities and Exchange Commission, 100 F Street, NE., 
Washington, DC 20549-1090.

All submissions should refer to File Number SR-NASDAQ-2010-172. This 
file number should be included on the subject line if e-mail is used. 
To help the Commission process and review your comments more 
efficiently, please use only one method. The Commission will post all 
comments on the Commission's Internet Web site (http://www.sec.gov/rules/sro.shtml). Copies of the submission, all subsequent amendments, 
all written statements with respect to the proposed rule change that 
are filed with the Commission, and all written communications relating 
to the proposed rule change between the Commission and any person, 
other than those that may be withheld from the public in accordance 
with the provisions of 5 U.S.C. 552, will be available for Web site 
viewing and printing in the Commission's Public Reference Room, on 
official business days between the hours of 10 a.m. and 3 p.m. Copies 
of the filing also will be available for inspection and copying at the 
principal office of the Exchange. All comments received will be posted 
without change; the Commission does not edit personal identifying 
information from submissions. You should submit only information that 
you wish to make available publicly. All submissions should refer to 
File Number SR-NASDAQ-2010-172 and should be submitted on or before 
February 2, 2011.
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    \10\ 17 CFR 200.30-3(a)(12).

    For the Commission, by the Division of Trading and Markets, 
pursuant to delegated authority.\10\
Elizabeth M. Murphy,
Secretary.
[FR Doc. 2011-431 Filed 1-11-11; 8:45 am]
BILLING CODE 8011-01-P


