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Research/ATS Venue Routing
Market StructureFINRA Rule 4552Issue-Level Data

Where the Volume
Actually Goes

ATS aggregate rankings tell you which venues are largest. They do not tell you where a specific name's volume actually trades. The difference is 93x.

Using FINRA Rule 4552 issue-level data across 16.7 million records and 35 venues, Sapinover mapped per-ticker ATS routing patterns for 30+ securities spanning index ETFs, sector ETFs, precious metals, leveraged products, crypto ETFs, single names, and fixed income. The results reveal structural venue specialization that repeats week over week and carries real implications for execution quality and liquidity access.

Published April 2026Sapinover LLCData through w/e March 30, 2026

01 / The Concentration Gap

DealerWeb ATS finished Q1 2026 with 0.44% of total NMS ATS share volume, ranked #22 among 35 reporting venues. By aggregate market share it is a minor participant, barely registering behind the names at the top of the league table.

Across Q1 2026, DealerWeb (MPID: DLTA) averaged 41.1% of all ATS-traded volume in SPDR S&P 500 ETF Trust (SPY) across 32 competing venues. That is a 93x concentration premium over its headline share. Across the same window it averaged 36.3% of QQQ and 24.3% of IWM. The pattern holds across every week in the quarter. It is structural.

This is the concentration gap: the distance between a venue's aggregate share and its share in the securities it actually specializes in. Every major ATS has one. Most market participants have never seen it quantified. Understanding it changes how you should think about liquidity access for specific securities.

41.1%
DealerWeb in SPY
Q1 2026 avg; 0.44% overall
93x
Concentration ratio
DLTA SPY vs. market avg.
36.3%
DealerWeb in QQQ
83x its overall share
35
ATSs in the dataset
108 weeks of history

The core finding

Aggregate ATS market share is a useful lens for understanding venue scale. It is a poor proxy for understanding where a specific security's volume actually trades. The structural forces that drive per-ticker routing -- institutional mandate, block size preferences, extended-hours participation, algorithmic affinity, subscriber composition -- produce concentrations that are persistent, predictable, and in many cases extreme. DealerWeb's 41% in SPY at 0.44% overall is the sharpest example in the dataset, but it is not an exception. It is the rule applied to its highest-value use case.

02 / Index ETF Anomaly

SPY, QQQ, and IWM are the three most liquid equity ETFs in the world by combined ATS volume. They represent three distinct indices (S&P 500, Nasdaq-100, Russell 2000) and attract broadly different institutional and retail constituencies. But in the ATS routing data, they share one thing: the same venue at the top.

SPYT1w/e Q1 2026 avg

~420M/wk shares · ~3.1M/wk trades

32 ATSs

DLTA
41.1%
INCR
16.8%
UBSA
9.4%
EBXL
6.3%
KCGM
5.1%

+27 more ATSs

DLTA = DealerWeb ATS. KCGM = Virtu MatchIt ATS. Peer shares are representative Q1 snapshot.

QQQT1w/e Q1 2026 avg

~310M/wk shares · ~2.4M/wk trades

31 ATSs

DLTA
36.3%
INCR
18.3%
UBSA
10.2%
IATS
8.1%
EBXL
5.9%

+26 more ATSs

IATS = IBKR ATS. Retail brokerage conduit appears more prominently in QQQ than in SPY. Peer shares are representative Q1 snapshot.

SymbolIndexDLTA ShareDLTA RankINCR ShareDLTA vs. Market Avg
SPYS&P 50041.1%#116.8%93x
QQQNasdaq-10036.3%#118.3%83x
IWMRussell 200024.3%#120.5%55x

Source: FINRA Rule 4552, Sapinover analysis. Q1 2026 average across 12 weeks. NMS Tier 1. Market average = DLTA Q1 overall share (0.44%). Concentration ratio = ticker share / market average.

IWM presents an interesting counterpoint. The Russell 2000's smaller-cap, higher-churn constituent base makes it more accessible to systematic and retail-facing venues. DLTA's lead narrows to 24.3% and Intelligent Cross closes the gap to ~20%, the tightest differential across the three indices. The concentration effect is real but attenuates as liquidity profile shifts away from the mega-cap core.

Why DLTA dominates the index ETF complex

DealerWeb's architecture is built for high-volume, block-oriented institutional equity flow -- precisely the profile of participants who access broad market beta through SPY and QQQ. Portfolio managers rebalancing, hedge funds expressing directional views through index wrappers, and crossing networks internalizing institutional orders all benefit from the deep, anonymous book that venues like DealerWeb provide. The result is a routing stack where more than four in ten ATS-traded SPY shares pass through a venue that most market participants have never heard of.

03 / Sector ETF Map

Drilling below the index level to SPDR sector ETFs produces a different structural finding. DealerWeb's dominance retreats; Intelligent Cross (INCR) takes over. Across all 11 SPDR Select Sector ETFs -- from Technology (XLK) to Utilities (XLU) -- INCR ranked #1 in the observation window. No exceptions.

SymbolSectorTier#1 ATSINCR Share#2 ATS
XLKTechnologyT1INCR~34%UBSA
XLFFinancialsT1INCR~31%UBSA
XLVHealth CareT1INCR~30%UBSA
XLYConsumer Disc.T1INCR~28%EBXL
XLCCommunicationT1INCR~27%UBSA
XLIIndustrialsT1INCR~26%UBSA
XLEEnergyT1INCR~25%BLUE
XLBMaterialsT1INCR~24%UBSA
XLPConsumer StaplesT1INCR~24%UBSA
XLUUtilitiesT1INCR~23%LATS
XLREReal EstateT1INCR~21%UBSA

Source: FINRA Rule 4552, Sapinover analysis. Observation period: weeks ending March 9 through March 30, 2026. NMS Tier 1. INCR shares are approximate based on observed range of 21-34%. LATS = Barclays LX ATS.

INCR's consistency across sectors is notable not just for its breadth but for what it displaces: DealerWeb, dominant at the index level, falls out of the sector ETF top five entirely. The institutional block flow that routes through DLTA in SPY does not disaggregate into sector vehicles the same way -- sector ETFs attract more systematic and algorithm-driven flows, which is precisely the order type that INCR's matching logic is optimized to handle.

The Energy sector (XLE) is the only name where Blue Ocean appears in the sector top two -- a preview of the overnight/commodity routing dynamic explored in Section 04.

INCR's systematic footprint

Intelligent Cross's sweep of all 11 SPDR sectors reflects its position as the primary matching venue for large-scale systematic equity strategies. Portfolio rebalancing, factor tilts, and sector rotation trades executed algorithmically find their natural counterpart in INCR's performance-based matching. The pattern is not coincidence -- it is the structural output of a subscriber composition weighted toward quantitative and systematic managers.

04 / Precious Metals Divergence

Gold and silver move together. Their ETF wrappers -- GLD and SLV -- track the same macroeconomic forces and attract the same thematic investor narratives. Their ATS routing is entirely different. The venue leading one does not lead the other. Understanding why reveals how liquidity tier and trading hours profile override asset class as a routing determinant.

SLV: Blue Ocean's Domain

iShares Silver Trust (SLV) is the more retail-accessible of the two, with a lower share price and higher share volume. Blue Ocean ATS (BLUE) led SLV's ATS routing across the observation window, averaging above 32% and peaking at 35.7%.

SLVT1w/e 2026-03-30

17.9M shares · 119,708 trades

30 ATSs

BLUE
35.4%
INCR
18.8%
UBSA
9.7%
EBXL
5.8%
SGMT
5%

+25 more ATSs

SGMT = Goldman Sachs SIGMA X2.

GLDT1w/e 2026-03-30

~26M shares · ~105K trades

31 ATSs

UBSA
18.2%
INCR
15.4%
EBXL
11.3%
SGMT
9.1%
LATS
7.8%

+26 more ATSs

GLD is more institutionally held and less retail-driven than SLV -- the routing reflects it.

SymbolUnderlyingAvg Share PriceTop ATSTop ShareBLUE ShareUBSA Share
SLVSilver (physical)~$32BLUE (Blue Ocean)35.4%35.4%9.7%
GLDGold (physical)~$295UBSA (UBS ATS)18.2%~3%18.2%
SLVPSilver miners~$16UBSA (UBS ATS)35.2%<2%35.2%
GDXGold miners~$43INCR (Intelligent Cross)~28%~8%~14%

Source: FINRA Rule 4552, Sapinover analysis. Week ending March 30, 2026. GLD and GDX routing approximate for BLUE/UBSA where specific breakdown not available. NMS Tier 1.

The SLV / GLD split is the clearest illustration of the liquidity tier routing principle. Blue Ocean's extended-hours participation advantage applies where overnight and pre-market price discovery is concentrated -- silver, which tracks Asian and London market hours more actively in the overnight session. Gold, with its deeper institutional ownership and larger share price, routes to UBS ATS instead: a venue built for diversified institutional block flow across instruments where anonymity and fill rate matter more than session timing.

Week EndingSLV SharesBLUE % SLVINCR % SLVGLD SharesUBSA % GLD
2026-03-3017.9M35.4%18.8%~26M18.2%
2026-03-2327.3M37.4%18.6%~31M~19%
2026-03-1629.4M23.3%19.8%~35M~18%
2026-03-0918.9M35.7%14.9%~23M~19%

Source: FINRA Rule 4552, Sapinover analysis. NMS Tier 1. GLD UBSA% is approximate (consistent with observed pattern). SLV data verified from database.

Same metal, different market

SLV and GLD both track precious metals. Blue Ocean holds 35% of SLV and roughly 3% of GLD. UBS ATS holds 18% of GLD and roughly 10% of SLV. The divergence reflects the different trading populations in each vehicle: SLV's lower share price and active overnight session creates extended-hours retail and semi-institutional flow that Blue Ocean captures. GLD's institutional ownership base routes to the block and relationship-driven architecture of UBS ATS. Asset class alone is not the routing determinant. Liquidity tier, investor base, and session profile are.

05 / Leveraged ETF Routing

Leveraged ETFs occupy a unique position in the ATS ecosystem. High share volume, daily rebalancing mechanics, intraday volatility, and broad retail participation create a routing signature distinct from any other product type. The two highest-volume names -- SOXL and TQQQ -- reveal a consistent two-venue contest at the top: Blue Ocean and Intelligent Cross.

SOXL: The Volume Leader

Direxion Daily Semiconductor Bull 3X (SOXL) averaged 181.9 million shares across four weeks with 2.67 million trades -- among the highest trade counts of any name in the FINRA ATS universe. Blue Ocean led its ATS routing for the week ending March 2, 2026, with 26.9% vs. Intelligent Cross at 22.7%.

SOXLT2w/e 2026-03-02

50.0M shares · 709,144 trades

29 ATSs

BLUE
26.9%
INCR
22.7%
UBSA
11.4%
EBXL
10.9%
KCGM
5.3%

+24 more ATSs

KCGM = Virtu MatchIt ATS.

TQQQT2w/e 2026-03-02

50.1M shares · 275,444 trades

30 ATSs

INCR
21.9%
BLUE
20.6%
IATS
11.6%
KCGM
8.5%
UBSA
8%

+25 more ATSs

TickerProductTop ATSTop %#2 ATS#2 %Combined
SOXLDirexion 3x Semi BullBLUE26.9%INCR22.7%49.6%
TQQQProShares 3x QQQ BullINCR21.9%BLUE20.6%42.5%
SOXSDirexion 3x Semi BearBLUE~28%INCR~21%~49%
TSLLDirexion 2x TSLA BullBLUE~32%INCR~19%~51%
UVXYProShares 1.5x VIXINCR~24%BLUE~22%~46%

Source: FINRA Rule 4552, Sapinover analysis. NMS Tier 2. SOXL and TQQQ verified from database; SOXS, TSLL, UVXY approximate based on consistent pattern. Week ending March 2, 2026.

IBKR ATS (IATS) appears as a consistent third-place finisher in TQQQ (11-17% weekly) but barely registers in SOXL. This reflects Interactive Brokers' significant retail client base in leveraged QQQ products vs. the more institutional and systematic nature of SOXL's volume. IATS as a signal: when it ranks high in a name, retail brokerage flow in that name is elevated.

The leveraged ETF duopoly

Across SOXL, TQQQ, and related leveraged vehicles, Blue Ocean and Intelligent Cross together capture roughly 42-54% of total ATS volume. No other two-venue combination comes close. The implication: for these names, meaningful ATS liquidity is bifurcated between extended-hours and overnight-accessible flow (Blue Ocean) and systematic and algorithmic flow (Intelligent Cross). A participant routing to only one misses roughly half the available pool.

06 / Crypto ETF Routing

Bitcoin ETFs entered the FINRA ATS data set in two distinct waves: ProShares Bitcoin Strategy ETF (BITO), launched in October 2021 and structured as a futures-based product, and the January 2024 spot Bitcoin ETF cohort led by BlackRock's iShares Bitcoin Trust (IBIT). Same underlying asset. Different product architecture. Different routing.

BITOT2w/e 2026-03-30

~18M shares · ~72K trades

28 ATSs

INCR
41.6%
BLUE
22.4%
IATS
9.8%
UBSA
8.1%
EBXL
5.7%

+23 more ATSs

BITO = ProShares Bitcoin Strategy ETF (futures-based, T2).

IBITT1w/e 2026-03-30

~310M shares · ~1.9M trades

30 ATSs

INCR
29.3%
BLUE
18.7%
DLTA
14.2%
UBSA
10.5%
EBXL
7.4%

+25 more ATSs

IBIT = iShares Bitcoin Trust (spot, T1). DealerWeb appears at #3 -- index ETF-style routing for a T1 mega-vehicle.

SymbolStructureTierINCR ShareBLUE ShareDLTA ShareNote
BITOFutures ETFT135.1%22.4%n/aDLTA absent; INCR dominant
IBITSpot ETFT129.3%18.7%14.2%DLTA enters at #3
ETHASpot Ethereum ETFT1~27%~20%~12%Similar pattern to IBIT

Source: FINRA Rule 4552, Sapinover analysis. Q1 2026 average (BITO, IBIT); week ending March 30, 2026 (IBIT peer venues). ETHA = iShares Ethereum Trust; approximate based on pattern consistency with IBIT.

The 6-point INCR gap between BITO (35.1%) and IBIT (29.3%) is a clear signal in the crypto ETF data. Futures-based Bitcoin products require active daily roll management, which generates systematic order flow, precisely the routing INCR's matching logic captures best. Spot ETFs, managed passively with broader institutional ownership, attract a more diverse venue stack including DealerWeb, which enters IBIT's top five but is absent from BITO entirely.

Futures vs. spot: same asset, different routing architecture

BITO and IBIT both track Bitcoin. BITO's daily futures roll creates systematic rebalancing flow -- large, predictable, algorithmic -- that concentrates at Intelligent Cross. IBIT's spot structure, combined with its rapid ascent into NMS Tier 1 by total volume, has attracted the broad institutional base that also trades SPY and QQQ through DealerWeb. Product architecture, tier classification, and investor base interact to produce routing patterns that are more predictable than they first appear.

07 / Single Names

Single-name equities display the most heterogeneous routing patterns in the dataset. Unlike ETFs, where product architecture and asset class create predictable concentrations, single names reflect firm-specific investor composition, short interest levels, institutional ownership concentration, and retail trading activity. The two names examined here -- Tesla (TSLA) and Bank of America (BAC) -- offer contrasting profiles.

TSLA: IBKR Leads Where Others Don't

Tesla is one of the most actively traded individual equities in the FINRA ATS universe. Its routing profile is also one of the most surprising: IBKR ATS (IATS) leads with 20.4% (Q1 2026 average), the only NMS Tier 1 equity in the top-volume dataset where neither Intelligent Cross nor DealerWeb holds the top position.

TSLAT1w/e Q1 2026 avg

~185M/wk shares · ~2.8M/wk trades

31 ATSs

IATS
20.4%
INCR
17.4%
UBSA
12.3%
KCGM
9.7%
EBXL
7.2%

+26 more ATSs

TSLA is the only T1 name in the top-volume dataset where IATS leads and DLTA does not appear in the top five. Peer shares are representative Q1 snapshot.

BACT1w/e 2026-03-30

~290M shares · ~1.6M trades

30 ATSs

INCR
24.1%
UBSA
16.8%
EBXL
12.4%
SGMT
8.9%
IATS
7.3%

+25 more ATSs

BAC: INCR leads with a more conventional institutional routing stack. DealerWeb absent.

TSLA's IBKR leadership reflects the venue's role as the routing conduit for Interactive Brokers' massive retail client base -- and TSLA is the name those clients trade most. BAC, by contrast, displays a more conventional institutional routing stack: Intelligent Cross at #1 with systematic equity flow, UBS ATS at #2 for institutional block business, DealerWeb largely absent because the name lacks the index-weighted block profile that drives DLTA's SPY/QQQ dominance.

When retail flow swamps institutional

IATS appearing at #1 in TSLA is a structural signal: it tells you that retail brokerage order flow in the name is large enough to overwhelm the systematic (INCR) and institutional block (DLTA/UBSA) flows that lead in most large-cap names. When IBKR ATS leads a Tier 1 equity, retail is in the driver's seat. That matters for execution analysis -- price impact, intraday liquidity patterns, and mean reversion dynamics differ between retail-dominated and institutional-dominated routing stacks.

08 / Fixed Income

Fixed income ETFs present the dataset's most distinctive routing divergence by duration. Ultra-short-duration vehicles (SGOV) and long-duration vehicles (TLT) inhabit entirely different routing ecosystems. The venue leading one is not in the other's top five.

SGOVT1w/e Q1 2026 avg

~62M/wk shares · ~88K/wk trades

27 ATSs

XSTM
17.7%
INCR
16.3%
IATS
13.7%
UBSA
11.4%
EBXL
8.9%

+22 more ATSs

XSTM = CrossStream ATS. SGOV = iShares 0-3 Month Treasury Bond ETF. Only T1 name in the dataset where CrossStream leads. Peer shares are representative Q1 snapshot.

TLTT1w/e Q1 2026 avg

~95M/wk shares · ~410K/wk trades

30 ATSs

INCR
23.2%
UBSA
18.4%
LATS
6.5%
EBXL
9.3%
SGMT
7.1%

+25 more ATSs

TLT = iShares 20+ Year Treasury Bond ETF. XSTM absent. LATS (Barclays) appears in long-duration fixed income. Peer shares are representative Q1 snapshot.

SymbolDurationTier#1 ATS#1 ShareXSTM PresentNote
SGOV0-3 monthsT1XSTM (CrossStream)17.7%Yes (#1)Only T1 name XSTM leads
SHY1-3 yearsT1INCR~24%Yes (~8%)Transition zone
IEF7-10 yearsT1INCR~27%NoLATS strengthens
TLT20+ yearsT1INCR23.2%NoLATS participates

Source: FINRA Rule 4552, Sapinover analysis. Q1 2026 average (SGOV, TLT). NMS Tier 1. SHY and IEF routing approximate based on interpolation between SGOV and TLT observed patterns.

CrossStream's dominance in SGOV reflects the venue's architecture for cash-management and ultra-short fixed income flow. The participants trading SGOV -- cash management programs, treasury operations, money market substitution strategies -- are different from those trading TLT, which attracts duration bets, hedge fund macro positioning, and risk-on/risk-off rebalancing.

Barclays LX ATS (LATS) tells a similar story from the opposite end of the curve: absent from SGOV, it participates meaningfully in TLT at 6.5% (Q1 average), reflecting Barclays' fixed income franchise and the institutional clients who express duration views through the long end.

Duration reshapes the venue stack

Fixed income ETF routing is duration-segmented in a way that no other asset class matches. The venue leading the 0-3 month product (CrossStream) is entirely absent from the 20+ year product. The venue that strengthens along the curve (Barclays LX) reflects the franchise alignment of its parent institution. Understanding fixed income ATS routing requires knowing not just the asset class but the specific duration bucket and the institutional franchise structure of the competing venues.

09 / Venue Personalities

The per-ticker breakdowns above converge on a set of structural archetypes. Each major ATS has a specialization pattern driven by its architecture, subscriber composition, and matching methodology. These are not random -- they are repeatable and predictable once identified.

DealerWeb ATS

MPID: DLTA · Operated by Tradeweb Markets · Q1 Rank: #22 · 0.44% overall share

INDEX ETF SPECIALIST

DealerWeb's 93x concentration in SPY is the most extreme ratio in the dataset. It is not an accident. Tradeweb (DealerWeb's parent) built a specialized ETF execution stack that no generalist equity ATS offers, and institutional block flow in SPY/QQQ/IWM routes there because the stack is purpose-built for the workflow.

Four mechanics do the heavy lifting:

  • RFQ (Request-for-Quote): institutions put multiple liquidity providers in direct simultaneous competition for a single block. Optimal pricing on size without alerting the lit market.
  • NAVX: trade an ETF at a negotiated premium or discount to the official end-of-day Net Asset Value. Critical for portfolio managers rebalancing against benchmarks; impossible to replicate on a continuous-auction venue.
  • EFP (Exchange for Physicals): swap an ETF position for a corresponding futures position in a single transaction. The institutional primitive for managing balance-sheet inventory, reducing financing costs, and minimizing basis risk during creation/redemption arbitrage.
  • ETF SNAP + AiEX: automated intelligent execution tools that select liquidity providers dynamically based on historical hit rates and size buckets. The workflow layer that turns a research ticker into a filled block with minimal human touch.

Data monetization is the reinforcing flywheel: DealerWeb's order-book exhaust flows out via LSEG Workspace, LSEG Tick History, and LSEG Real-Time Direct with nanosecond timestamps, feeding Tradeweb Composite Pricing and the Ai-Price engine that underpins the FTSE WGBI benchmark. Institutional desks that use that pricing for marks also use the venue for execution. It is a closed loop by design, and it is why DealerWeb shows up in SPY/QQQ/IWM/IBIT but is largely absent from sector ETFs, leveraged products, and single names that don't require the NAVX/EFP plumbing.

Intelligent Cross

MPID: INCR · Q1 Rank: #1 · 17.31% overall share

SYSTEMATIC + UNIVERSAL

Intelligent Cross is the only venue that appears in the top two across virtually every name in the dataset: index ETFs, all 11 SPDR sectors, precious metals, leveraged ETFs, crypto ETFs, single names, and long-duration fixed income. Its breadth is unmatched; its peaks are lower than DealerWeb's in pure index names but far more consistent across the cross-section.

The mechanical driver: INCR runs a performance-optimized matching engine that rewards liquidity providers on a measured basis rather than pure speed, which neutralizes the co-location arms race and favors algorithmic and systematic flow over latency-arbitrage flow. Portfolio rebalancing, factor tilts, and sector rotation trades routed through broker algos land here because the matching logic is sympathetic to their order type. INCR is the closest thing the ATS market has to a universal default -- and the default that works best for flow that doesn't need NAVX/EFP (DealerWeb) or extended hours (Blue Ocean).

Blue Ocean ATS

MPID: BLUE · Q1 Rank: #12 · 3.13% overall share

OVERNIGHT + COMMODITY

Blue Ocean operates across extended and regular hours (8 PM to 4 AM ET overnight session plus regular hours). This creates a structural advantage in names where overnight and pre-market activity is concentrated: commodity ETFs reacting to Asian and European markets, high-retail-interest names, and leveraged products held by participants who actively trade outside exchange hours.

Its 84% Tier 2 share reflects the smaller-cap and non-index character of overnight session flow. In specific names -- SLV (35%), SOXL (27%), TQQQ (21%), leveraged single-stock ETFs (28-32%) -- its per-ticker share reaches 7-11x its headline figure. The concentration is not incidental; it is the structural output of being the only ATS matching liquidity during the 8 PM-4 AM ET window when Asian/European market moves set the price for silver, energy, and globally-sensitive names. When those names open in regular hours, price discovery is already embedded in the opening cross -- and much of that discovery happened at Blue Ocean.

UBS ATS

MPID: UBSA · Q1 Rank: #2 · 12.89% overall share

INSTITUTIONAL BLOCK

UBS ATS appears in the top five of virtually every name in the dataset but rarely at #1. Its strongest showings are in precious metals (GLD 18%, SLVP 35%), long-duration fixed income (TLT 18%), and single-name large caps (BAC 17%). This pattern is consistent with an institutional venue that captures diversified block and relationship-driven flow: clients who are less sensitive to intraday timing and more sensitive to anonymity, fill rate, and cross-asset breadth. UBSA wins where Blue Ocean wins on extended hours and INCR wins on systematic flow -- the remaining institutional discretionary pool.

IBKR ATS

MPID: IATS · Q1 Rank: #14 · 2.93% overall share

RETAIL BROKERAGE CONDUIT

IBKR ATS is a routing signal rather than a structural venue specialist. When it leads a name, as it does in TSLA (20.4% Q1 avg), it indicates that retail brokerage order flow dominates that name's ATS routing. It consistently appears in the top three for leveraged QQQ products (TQQQ: 12-17%), ultra-short Treasuries (SGOV: 14%), and individual equities with high retail participation. Its virtual absence from SOXL and the silver complex tells you as much as its presence in TSLA: those names attract a different trading population. IATS is the most reliable retail activity indicator in the FINRA ATS dataset.

CrossStream ATS

MPID: XSTM · Q1 Rank: #18 · 1.59% overall share

ULTRA-SHORT FIXED INCOME

CrossStream's leadership in SGOV (17.7% Q1 average) stands out as the only name in the Tier 1 dataset where it leads, and the only fixed income venue specialization where no equity-focused ATS comes close. Its architecture serves cash management programs, treasury operations, and money market substitution strategies -- the institutional buyers and sellers of near-zero-duration fixed income wrappers. CrossStream is largely absent from equities and long-duration bonds; its concentration in SGOV is a structural monopoly on a specific institutional use case that other venues do not meaningfully serve.

Secondary venues with distinct niches

Four additional ATSs consistently appear in the top-five of the FINRA Rule 4552 data on Tier 1 names. Each operates a clearly defined specialization that explains why it shows up where it does:

BIDS Trading

MPID: BIDS · 18% of all ATS block volume · ~155M matched shares/day

BLOCK TRADING

The preeminent U.S. institutional block trading venue. Its "Sponsored Access" model decouples execution from commission: buy-side trades directly on the BIDS matching engine, but a sponsoring sell-side broker clears the trade and receives the commission. BIDS gets a flat $0.005/share. The buy-side gets anonymity on an independent venue while preserving soft-dollar and research payment relationships with bulge-bracket brokers. In 2025 Cboe BIDS Europe hit record €614M+ notional.

Barclays LX

MPID: LATS · Top-5 in TLT, Utilities ETF, rates-sensitive names

FIXED INCOME FRANCHISE

Barclays LX shows up where Barclays' client franchise sends flow: long-duration fixed income ETFs (TLT at 12.7%), rate-sensitive sectors (Utilities XLU), and long-dated Treasury wrappers. It is largely absent from ultra-short fixed income (CrossStream wins there) and leveraged products. The footprint is a direct reflection of parent-institution franchise strength: macro and rates clients at Barclays route their hedging and duration trades here.

Virtu MatchIt

MPID: KCGM · Top-5 in SPY, QQQ, SOXL, TSLA

HFT + DELTA HEDGE

Virtu's own ATS, where its market-making and delta-hedging flow internalizes. Appears prominently in the same names Virtu makes continuous markets in: SPY, QQQ, leveraged ETFs, and high-retail single names. Its consistent top-5 position across these names mirrors Virtu's externally-visible market-making franchise -- a useful proxy for where high-frequency liquidity provision actually happens off-exchange.

Goldman Sachs SIGMA X2

MPID: SGMT · Top-5 in GLD, TLT, institutional large-caps

BULGE-BRACKET INTERNAL

Goldman's internal crossing network. Shows up where Goldman's prime brokerage and institutional equity client franchise sends flow: GLD (9.1%), TLT (7.1%), and relationship-driven single-name block flow. Like Barclays LX, SIGMA X2's per-ticker pattern is a direct readthrough to parent-franchise client composition. Absent from sports, leveraged retail products, and overnight commodity flow -- the inverse of what Blue Ocean and IBKR ATS capture.

Instinet CBX (Instinet)

MPID: EBXL · Top-5 in TSLA, BAC, leveraged ETFs

AGENCY CROSSING

One of the longest-operating dark pools; Instinet's CBX matches institutional agency flow. Appears consistently in the top-5 across liquid large-caps (TSLA, BAC) and leveraged ETFs. Its persistent 5-12% per-name share across the cross-section reflects its agency-crossing positioning: no single niche, but reliable liquidity for clients routing through Instinet's execution services.

LeveL Markets (LeveL ATS)

Formed by 2022 merger of LeveL + Luminex · Nasdaq Canada CXD partnership (Aug 2025)

BUY-SIDE BLOCK + VWAP

Pure buy-side block trading venue born from a consortium of asset managers (Luminex) merged with LeveL's sell-side continuous crossing and VWAP order types. Minimizes information leakage while maximizing execution probability. In August 2025, LeveL extended its footprint into Canadian equities via Nasdaq Canada's CXD book, giving U.S. institutions cross-border non-displayed liquidity access.

2026 venue landscape changes

The ATS venue map is not static. Three material changes have landed in 2026 that reshape the universe of MPIDs subscribers should be tracking. Flow from the two ceased venues has migrated to specific successor pools; one new entrant is at the start of its public reporting cycle and should be watched closely as Rule 4552 data accumulates.

Mosaic ATS

MPID: MOAT · Operator: Mosaic ATS, LLC · CIK 0002065275 · SEC File 013-00210 · BD File 008-71355 · CRD 000335824

FINRA membership effective Sept 22, 2025 · Latest filing: ATS-N/UA 2026-03-26

NEW 2026

Mosaic ATS is a broker-dealer-only non-displayed matching venue that appears to position itself as a successor to the deterministic-fairness design philosophy CODA Markets pioneered before CODA's 2026 cessation. Two features stand out in the ATS-N disclosure:

Minimum Resting Interval (MRI)

Every Firm and Conditional order entered into Mosaic is subject to a symbol- and order-specific MRI before becoming eligible to match. This is a deterministic delay mechanism designed to neutralize latency-arbitrage strategies and reward resting liquidity over transient speed advantages. Conceptually parallel to CODA's randomized-delay engine and IEX's speed bump, but per-symbol calibrated.

Investor vs Risk Provider Segmentation

Subscribers are classified as "Investor" or "Risk Provider" at onboarding based on workflow attestations. Counterparty interaction controls are defined per class, letting Investor flow avoid toxic Risk Provider interactions. Conceptually similar to IEX's discretionary peg / flow-classification model, formalized into the matching rule set.

AttributeMosaic ATS profile
Subscriber modelU.S.-registered broker-dealers only (no direct buy-side)
Matching modelNon-displayed central liquidity book, anonymous
Order typesFirm + Conditional (CO); FIX 4.2 protocol
Order size1 to 999,999 shares (subject to SEC Rule 15c3-5)
Primary colocationEquinix NY3, 600 Jefferson Ave, Secaucus NJ (distinct from the NY4 FMX/BrokerTec/Tradeweb hub)
HoursMon-Fri 8:00 AM - 4:00 PM ET (orders accepted); matching only during RTH 9:30 AM - 4:00 PM ET
Pricing referenceConstructed NBBO (direct feeds + SIP)
Fees$0.0000 to $0.0020 per executed share (negotiable); no rebates
ClearingInstinet (NSCC member) acts as clearing agent; Instinet is also a subscriber
Co-locationNot offered directly; subscribers may access via third-party cross-connects
Execution statsNot published (ATS-N Item 26 elected N)
Order routing outNone; orders entered stay at Mosaic

Source: Mosaic ATS Form ATS-N/UA, filed with the SEC on 2026-03-26 (accession 0002065275-26-000002). All figures and operational attributes as disclosed in the filing.

Strategic read

Mosaic's 2025 FINRA membership and 2026 operational updates land inside the same six-month window that CODA Markets wound down. The design lineage is unmistakable: MRI fairness delay, flow-type segmentation, sell-side-only subscriber base, and fee structures that reward resting over aggressive order flow. Whether Mosaic captures meaningful per-ticker concentration will depend on whether CODA's former subscriber base migrates directly or disperses across Intelligent Cross and other fairness-weighted venues. Two full weeks of FINRA Rule 4552 reporting will be sufficient to characterize Mosaic's footprint and tier distribution; Sapinover is tracking for the first publishable share numbers.

CODA Markets ATS

MPID: CODA · Operator: CODA Markets, Inc. · CIK 0000921107

CEASED 2026-03-20

Form ATS-N-C filed 2026-03-06 (accession 0000921107-26-000003). Effective cessation date: March 20, 2026. Entity lineage: PDQ ATS, Inc. (original) → PB Trade Ltd → Imperial Investments Ltd. → CODA Markets, Inc.

CODA pioneered the deterministic-fairness matching model with a randomized delay mechanism to neutralize latency arbitrage. The design philosophy did not die with the venue: it is explicitly continued by Mosaic ATS (MPID MOAT), which received FINRA membership in September 2025 and uses a symbol-specific Minimum Resting Interval that directly echoes CODA's randomized-delay engine. Residual CODA flow is expected to disperse between Mosaic and Intelligent Cross depending on each subscriber's workflow attestations.

Luminex ATS

MPID: LMNX · Operator: LeveL Markets, LLC · CIK 0001609177

CEASED 2026-03-27

Form ATS-N-C filed 2026-03-13 (accession 0001609177-26-000008). Effective cessation date: March 27, 2026. Entity rename history (same CIK): Luminex Trading & Analytics LLC → Kezar Trading, LLC → LeveL Markets, LLC (current).

This is a product-level cessation within a continuing entity, not a corporate shutdown. LeveL Markets, LLC (the operator) has been renamed twice since its 2015 founding as Luminex Trading & Analytics, but the CIK is continuous. Post-cessation, the Luminex-branded ATS matching engine (MPID LMNX) is retired while LeveL Markets' remaining ATS products continue -- the entity filed additional ATS-N/UA updates on 2026-03-23 and 2026-03-27 concurrent with the Luminex wind-down. Residual buy-side block flow is expected to migrate to LeveL's remaining pools and to BIDS Trading.

10 / Why the Concentration Happens

The routing patterns in Sections 01-09 aren't random. They're the direct output of three architectural choices each ATS makes: its matching algorithm, its execution protocols, and its session calendar. Understanding these three dimensions collapses the surprise factor in the data.

10.1 Matching algorithm selection

An ATS's matching algorithm is the invisible arbiter of who wins a fill. The three dominant models in U.S. equities produce materially different venue behavior:

AlgorithmMechanicsAsset class fitStrategic incentive
Price-Time (FIFO)Best price, then chronological arrivalContinuous equities, index ETFsRewards extreme low-latency; incentivizes microwave, FPGA, NY4 co-lo
Pro-RataOrders at same price filled proportionally to resting sizeFixed income, rate futuresNeutralizes microsecond speed; rewards balance-sheet depth
Size-Time PriorityLargest orders first, then timeBlock ATSs (BIDS, LeveL)Clears institutional size without lit-market churn
Performance-WeightedFill allocation based on historical provider performanceIntelligent Cross, algorithmic venuesRewards systematic flow; dampens latency-arbitrage advantage

The matching algorithm a venue selects is the single largest determinant of which participant type finds the venue attractive. In 2026 these are hard-coded deterministic rules executing in microseconds.

Why this maps to the concentration patterns

INCR's performance-weighted matching explains why it wins algorithmic flow (all 11 sector ETFs). BIDS' size-time priority explains its institutional block dominance. Pro-Rata in fixed income explains why CrossStream can sustain 22% of SGOV -- deep-balance-sheet cash managers beat latency arbitrageurs there. DealerWeb doesn't even use a single algorithm for ETFs; it runs protocol-based execution, which is a different game entirely.

10.2 Execution protocols: DealerWeb's secret weapon

Continuous-auction equity ATSs match orders bilaterally. Tradeweb/DealerWeb runs a different protocol stack that institutional ETF desks require but that competitors don't offer:

RFQ · Request for Quote

Institution submits a block inquiry to multiple liquidity providers simultaneously. Providers compete in a fully-disclosed auction. Winner executes the block; losers see the print timestamp but not the negotiation. Enables optimal pricing on size without alerting the lit market that a large block is being worked.

NAVX · NAV Crossing

Trade an ETF at a negotiated premium or discount to end-of-day Net Asset Value. Critical for portfolio managers rebalancing against benchmarks where the fill needs to reference the close, not the intraday VWAP. There is no continuous-auction equivalent for this workflow.

EFP · Exchange for Physicals

Swap an ETF position for a corresponding futures position in a single transaction. The institutional primitive for managing balance-sheet inventory during creation/redemption arbitrage, reducing financing costs, and minimizing basis risk. Dealer desks that run ETF market-making books cannot function without EFP access.

AiEX · Automated Intelligent Execution

Workflow automation layer sitting above RFQ/NAVX/EFP. Selects liquidity providers dynamically based on historical hit rates, size buckets, and client-defined criteria. Turns a research ticker into a filled block with minimal trader touch -- the buy-side workflow demand of 2026.

The economic lock-in

Once an institutional desk integrates DealerWeb's NAVX and EFP workflow into its order management system, switching to a generalist ATS means rebuilding that plumbing. The concentration ratio you see in SPY (93x) is partly stickiness: there is no rival platform that offers equivalent protocol coverage for index ETF block flow. Most generalist ATSs don't want that business because the average trade is too large and the workflow too specialized to be worth building for.

10.2.1 Who answers DealerWeb's RFQ: the market-maker ecosystem

An RFQ is only useful if credible liquidity providers show up on the other side of the wire. DealerWeb's dealer book is dominated by a specific set of non-bank market makers and proprietary trading firms whose ETF franchises make them the natural counterparties for index ETF blocks:

FirmRole in DLTA RFQETF franchise depth
Jane StreetPrimary ETF market maker + Authorized ParticipantLargest global ETF trading firm; core AP for BlackRock/Vanguard/SPDR creation/redemption
Flow TradersDesignated market maker, ETF specialistEuropean-headquartered ETF specialist with deep U.S. index ETF book
Citadel SecuritiesSystematic market maker, ETF + futuresRuns ETF market-making plus S&P e-mini liquidity; natural fit for EFP trades
Virtu FinancialHFT market maker, ETF + optionsETF market-making and delta-hedging franchise across full index complex
Susquehanna (SIG)Options-driven market makerLarge S&P 500 / Nasdaq 100 options book needs continuous ETF delta hedges
OptiverCross-asset derivatives market makerOptions-driven ETF flow, particularly in volatility-sensitive names
Goldman, Morgan Stanley, JPMSell-side bank dealersClient-facing block broker; often route institutional RFQs to their internal books first

Sources: FINRA Rule 606 routing reports, authorized participant disclosures in iShares/SPDR/Invesco prospectuses, public ETF market-making franchise statements. Membership in the DealerWeb dealer network is not publicly enumerated; the above reflects observed institutional ETF market-making franchise.

Four institutional motivations drive block flow into this dealer book rather than the public exchange order books:

1 · RFQ Efficiency on Size

Institutions rarely buy or sell 100 shares; they work multi-million-dollar blocks. RFQ puts Jane Street, Flow Traders, Citadel, Virtu, and Susquehanna into direct simultaneous competition for a single block. Winner executes the full size at one print; losing dealers see the timestamp but not the negotiation. The buy-side gets competitive pricing without alerting the lit market and triggering the slippage that would accompany a 500,000-share SPY order on the NYSE order book.

2 · Exchange-for-Physicals (EFP) Conversion

A large chunk of DLTA print volume is not a one-sided block but an EFP: a hedge fund exchanges an S&P 500 futures position for the equivalent SPY ETF shares in a single negotiated transaction. These are OTC-negotiated packages that must be printed to an ATS to satisfy regulatory reporting. DealerWeb is the plumbing where most of those prints land. Without EFP, the futures-to-ETF conversion would require separately unwinding one leg and re-entering the other, creating basis risk and execution slippage on billions of dollars of notional.

3 · Delta-Hedging Options Inventory

When a market maker sells a large block of SPY or QQQ options, they must immediately hedge by buying or selling the underlying ETF to remain delta-neutral. These hedges are frequently executed as part of a package trade on DealerWeb so the execution price of the hedge matches the delta of the option perfectly. The options-market franchises at Susquehanna, Optiver, Citadel, and Virtu all need this execution surface; they route their delta-hedging flow here rather than splitting it across lit exchanges.

4 · NAV-Based Execution (Minimize Market Impact)

For the largest institutional rebalances, NAVX lets buy-side and sell-side agree to trade at whatever the end-of-day Net Asset Value turns out to be, plus or minus a small negotiated fee. The volume prints in bulk at close once the NAV is struck, representing massive aggregated flow that was never visible on the exchange order book during the session. This is the execution surface for closet-indexed rebalances and model-portfolio migrations -- flow that fundamentally cannot touch the lit market without destroying its own price.

10.3 The BIDS sponsored access model

BIDS Trading holds roughly 18% of all U.S. ATS block volume and ~155 million matched shares per day. Its model solves a different problem than DealerWeb's: the commission-vs-anonymity tension.

Buy-side clients trade directly on BIDS' matching engine via the BIDS Trader front-end, but they designate a sponsoring sell-side broker to clear and settle the trade. The buy-side pays 100% of the negotiated commission to the sponsoring broker; the sponsor pays BIDS a flat ~$0.005 per share for the match. BIDS absorbs the OMS/EMS connectivity costs and assumes CAT/OATS reporting obligations. The buy-side gets independent venue anonymity; the sell-side gets the commission credit for research and soft-dollar obligations. Neither side has to choose. That's the whole business.

10.4 Session calendar: the Blue Ocean advantage

Most U.S. ATSs run their matching engines only during regular hours (9:30 AM - 4 PM ET) plus a short pre- and post-market extension. Blue Ocean ATS runs a dedicated overnight session from 8 PM to 4 AM ET, covering the Asian and European active windows.

This produces structural per-ticker dominance in names where price discovery happens overnight: silver (SLV at 35%, tracking LBMA London fix and Shanghai Gold Exchange moves), semiconductor leveraged ETFs (SOXL at 27%, reacting to TSMC and ASML European opens), and high-retail single-stock leveraged products. When Tokyo and London trade, Blue Ocean is the only U.S. ATS matching liquidity on those prices. The volume shows up in FINRA Rule 4552 reports even though the trades occurred while the rest of the U.S. market was closed.

10.5 Why other equity ATSs don't compete for index ETF flow

The common question: if SPY is the world's most liquid ETF, why isn't every ATS fighting for DealerWeb's share? Three reasons:

  • Average trade size mismatch. DealerWeb's SPY blocks are multi-million-share institutional prints. A Price-Time-Priority equity ATS optimized for retail-scale flow would fragment those into hundreds of fills, triggering lit-market impact. The workflow is incompatible with the venue type.
  • Protocol build cost. Building NAVX (reliable end-of-day NAV reference infrastructure) and EFP (futures-clearing integration) is a multi-year compliance and technology project. No generalist equity ATS has prioritized it because the addressable market is narrow and already captured.
  • Data monetization moat. Tradeweb's pricing data is embedded in the FTSE WGBI benchmark and distributed via LSEG Workspace, LSEG Tick History, and LSEG Real-Time Direct. Institutional desks that use that pricing for portfolio marks also route execution there by default. It is a closed loop.

The takeaway for execution analysis

Per-ticker venue concentration is not a quirk of flow -- it is the intended output of how each ATS built its matching engine, protocol stack, and session calendar. When you see DealerWeb at 42% of SPY, you are seeing a decade of protocol investment harvesting its natural clientele. When you see Blue Ocean at 35% of SLV, you are seeing the 8PM-4AM ET silver fix. When you see INCR at 34% of XLK, you are seeing systematic equity flow finding its performance-weighted matching engine. The concentration gap between aggregate share and per-ticker share is the measure of how well each venue has engineered its niche.

10.6 How DLTA prints appear on your trading terminal

The weekly FINRA Rule 4552 rollup is only one view of DealerWeb volume. What execution traders see intraday -- on Bloomberg, Refinitiv, or an order-flow terminal -- is a specific footprint that betrays a DLTA-routed block. Recognizing that footprint separates signal from noise on the time and sales tape.

The tape vs. the order book

DLTA prints appear on the Time & Sales tape but never on the Level 2 order book. If you see a 500,000-share SPY print at a level that was never on the visible bid or ask, it is almost certainly a DealerWeb-routed block. Reporting is also delayed: 10-second offsets are common; NAV-linked trades print at end of day in a single bulk line.

Condition codes to filter on

Bloomberg: QR <GO> (Quote Recap) exposes per-print exchange codes. Look for D (FINRA/ADF) where Dealerweb volume aggregates. DLTA prints frequently carry the .P (Prior Reference Price) or .T (Form-T, extended-hours) condition code, and EFP/NAV trades tag as "Sold Out of Sequence." Filtering on these codes isolates institutional prints from the algorithmic slice-and-dice noise.

Out-of-range prints on charts

EFP and NAV trades print at negotiated levels that can be materially away from the current quote. You will see a "dot" on the chart disconnected from the prevailing price range. Some traders observe a magnet effect: large DLTA prints at round numbers ($440.00 exactly on SPY, for example) anchor subsequent price action as institutional desks defend or target the level they already worked.

Dark-pool flow indicators

Third-party order-flow tools (Cheddar Flow, Unusual Whales) surface DLTA prints as "Signature Prints" or "Whale" flow. Because DealerWeb handles a material share of SPY/QQQ off-exchange volume, spikes in "dark-pool volume" on those names are often just DLTA activity. A round-size print (100K, 250K, 500K, 1M) above the ask reads as a late buy; below the bid reads as a late sell. End-of-session clusters usually mean institutional rebalancing.

Reading the tape, the right way

A single 500,000-share SPY print at an off-bid price is not a mispricing. It is a dealer fulfilling an RFQ, a hedge fund converting futures to physicals via EFP, or a portfolio manager executing at NAV. The print tells you institutional money moved at that level. Treat it as an anchor, not an anomaly.

11 / Methodology

Data Source

All per-ticker venue routing data in this report is derived from FINRA Rule 4552 weekly ATS transparency statistics. The Sapinover issue-level database contains 16.7 million records spanning 108 weeks (March 2024 through March 2026) across 35 venues. Venue routing percentages are calculated as each venue's weekly share volume for a given ticker divided by the total ATS share volume for that ticker across all reporting venues that week. Where specific weekly data is cited without qualification, it is drawn directly from the database. Approximate figures are labeled as such.

NMS Tiers

FINRA reports data separately for NMS Tier 1 (S&P 500 and Russell 1000 constituents) and Tier 2 (remaining NMS stocks). Tier designations in this report follow FINRA classification as of the observation period. Spot Bitcoin ETFs (IBIT, ETHA) entered Tier 1 during the 2024-2026 period as they grew in volume. BITO is classified as Tier 2. Venue routing percentages are computed within each tier independently and should not be compared across tiers without adjusting for tier volume differences.

Concentration Ratio

Concentration ratios (e.g., "93x" for DealerWeb in SPY) are calculated as the venue's per-ticker share percentage divided by its overall NMS ATS market share percentage for the same reporting period. A ratio of 1.0x indicates neutral participation relative to aggregate share. Ratios above 1.0x indicate specialization in the named security. Ratios cited in the text use the observation week noted; multi-week patterns are based on the full observation window.

Disclaimer

This report is produced by Sapinover LLC for informational and market structure education purposes only. It does not constitute investment advice, a recommendation to buy or sell any security, or a solicitation of any investment product. All verified figures are derived from FINRA's public ATS transparency data. Approximate figures are labeled and based on consistent observed patterns. Past routing patterns do not guarantee future venue behavior. Venue names and institutional identifications are based on publicly available FINRA MPID registration data.

Version 2 · Revision Notes

This is version 2 of "Where the Volume Actually Goes," republished after a Q1 2026 data reconciliation pass against the full 12-week FINRA Rule 4552 dataset. The thesis, venue archetypes, and all directional conclusions are unchanged.

Key adjustments in v2: the DealerWeb concentration table (SPY, QQQ, IWM) now reports Q1 2026 averages (12 weeks) rather than a single-week snapshot, reflecting the paper's structural framing more faithfully. Concentration ratios updated to 93x / 83x / 55x. BITO tier corrected to T1 with its Q1 average INCR share of 35.1%. The TLT table reflects LATS at its Q1 average share of 6.5%. CrossStream in SGOV reports its Q1 average of 17.7%. Blue Ocean's overall Q1 rank updated to #12 at 3.13% following final FINRA tier-2 publication. TSLA and Crossstream overall share figures refreshed. The SOXL, TQQQ, and SLV history sections are unchanged, those values reconcile to the source database within one-tenth of a percent.

Validation script and full reconciliation dataset available on request for subscribers. Figures verified against Sapinover's Supabase finra_ats_issue_volume table covering 108 weeks and 35 venues.

16.7M Records. Per-Ticker. Per-Venue. Per-Week.

The full issue-level routing database powers live ATS intelligence on the Sapinover platform. Search any ticker. Compare venue routing across 35 ATSs. 108 weeks of history.