Global Liquidity Routing Algorithms And Financial Infrastructure Control

Introduction

Global liquidity routing algorithms are automated systems that determine where, when, and through which financial infrastructure orders, payments, securities, collateral, foreign-exchange transactions, or other forms of liquidity should be routed. They operate across exchanges, alternative trading systems, dark pools, payment networks, clearing houses, correspondent banks, prime brokers, liquidity providers, and increasingly cloud-based financial infrastructure.

The competition-law significance arises when the entity controlling the algorithm also controls an essential gateway through which liquidity must pass. An infrastructure operator may therefore possess power not merely over prices, but over access, visibility, execution priority, routing, data, interoperability and settlement.

This creates a distinctive form of infrastructure power:

Control of the routing algorithm + control of the infrastructure + control of the underlying data can create control over the direction and conditions of liquidity itself.

Competition law must therefore examine not only conventional market shares, but also algorithmic routing rules, preferential access, latency advantages, interoperability restrictions, self-preferencing, discriminatory execution, data advantages and exclusionary switching costs.

1. Meaning of Global Liquidity Routing Algorithms

A liquidity-routing algorithm automatically selects among available venues or counterparties.

For example, an institutional order may potentially be executed through:

• a stock exchange;
• an alternative trading system;
• a dark pool;
• a broker's internalisation system;
• a market maker;
• an FX liquidity provider;
• a bank;
• a central counterparty;
• or another electronic trading venue.

The algorithm may consider:

1. price;
2. available liquidity;
3. execution probability;
4. transaction costs;
5. latency;
6. market impact;
7. settlement risk;
8. counterparty risk;
9. regulatory restrictions;
10. collateral requirements;
11. currency;
12. historical execution quality.

The algorithm consequently becomes a decision-making layer between financial users and infrastructure.

2. Why Liquidity Routing Is a Competition-Law Issue

Traditional competition analysis asks:

Who controls the market?

Algorithmic financial infrastructure increasingly requires another question:

Who controls the pathway through which market participants reach the market?

A firm can possess substantial power even if it does not directly buy or sell the financial product.

For example, a platform controlling routing technology might determine:

• which liquidity provider receives an order;
• which exchange receives volume;
• which market maker obtains order flow;
• which settlement infrastructure is used;
• which counterparties receive data;
• which participants receive low-latency access;
• which competitors are technically interoperable.

Thus, routing control can become infrastructure control.

3. Relevant Markets

Several markets may need to be analysed simultaneously.

A. Trading-venue market

The relevant market may consist of:

• exchanges;
• multilateral trading facilities;
• alternative trading systems;
• electronic communication networks;
• dark pools.

B. Liquidity-provision market

This may include:

• market makers;
• banks;
• proprietary trading firms;
• institutional liquidity providers.

C. Routing-technology market

A separate market may exist for:

• smart order routers;
• execution-management systems;
• algorithmic trading software;
• order-management systems.

D. Financial-data market

Routing algorithms depend heavily upon:

• real-time prices;
• order-book information;
• transaction data;
• market-depth information;
• reference data.

Control over these inputs may reinforce downstream market power.

E. Clearing and settlement infrastructure

Liquidity ultimately interacts with:

• central counterparties;
• central securities depositories;
• payment systems;
• correspondent banking networks.

A competition authority may therefore need to analyse a vertical chain, rather than a single market.

4. Network Effects

Liquidity markets exhibit powerful network effects.

More buyers attract more sellers.

More sellers attract more buyers.

More liquidity attracts more orders.

More orders generate better data.

Better data improves the routing algorithm.

The improved algorithm attracts still more participants.

This can produce a self-reinforcing cycle:

Liquidity → Data → Better Routing → More Users → More Liquidity → More Data

Consequently, an incumbent may become difficult to challenge even without conventional exclusionary conduct.

5. Algorithmic Self-Preferencing

Suppose an exchange owns:

1. the trading venue;
2. a smart-routing system;
3. a market-making affiliate.

The routing algorithm could theoretically send a disproportionate amount of order flow to the affiliated market maker.

This creates a potential vertical foreclosure problem.

The concern is particularly serious if the algorithm:

• secretly favours affiliated liquidity;
• gives affiliates faster information;
• provides preferential queue positioning;
• directs orders away from competing venues;
• imposes higher costs on rival liquidity providers.

The competition issue resembles self-preferencing in digital markets, but the consequences may be more immediate because the algorithm directly determines financial order flow.

6. Discriminatory Access

Infrastructure operators can potentially discriminate between participants through:

• latency;
• API access;
• bandwidth;
• trading permissions;
• collateral requirements;
• fee schedules;
• technical standards;
• authentication;
• data access.

A superficially neutral technical rule can therefore produce discriminatory competitive effects.

For example:

A platform may formally offer identical access while designing its API architecture so that affiliated entities obtain materially faster execution.

Competition law should examine actual competitive effects, rather than merely contractual equality.

7. Latency as a Competitive Weapon

In electronic finance, milliseconds—and sometimes microseconds—can matter.

An infrastructure operator possessing superior technological access may provide:

• lower network latency;
• colocated servers;
• privileged feeds;
• earlier market-data access;
• faster order acknowledgement.

If a dominant infrastructure provider systematically advantages its own trading operations, latency can become an exclusionary mechanism.

The important point is that non-price discrimination can be economically equivalent to a price advantage.

8. Data Concentration

Liquidity-routing systems generate enormous amounts of data.

This may include:

• order-flow information;
• execution history;
• liquidity patterns;
• institutional trading behaviour;
• market depth;
• counterparty behaviour;
• volatility patterns.

A dominant routing platform may therefore acquire a data advantage unavailable to competitors.

The competitive feedback loop becomes:

More Orders → More Data → Better Prediction → Better Execution → More Orders

This can create an algorithmic data moat.

9. Cross-Market Liquidity Routing

Global financial institutions increasingly operate across:

• equities;
• bonds;
• derivatives;
• FX;
• commodities;
• crypto-assets;
• payment systems.

A routing platform operating across several markets can exploit information obtained in one market to strengthen its position in another.

For example, information about institutional FX activity could potentially improve:

• derivatives execution;
• liquidity forecasting;
• collateral management;
• treasury services.

This creates potential ecosystem leverage.

10. Tying and Bundling

A dominant infrastructure provider might condition access to one service upon purchasing another.

Examples include:

• exchange access + proprietary routing software;
• clearing + proprietary execution technology;
• market data + trading services;
• settlement + custody;
• payment processing + account services.

Such conduct may raise concerns where customers cannot realistically use competing components.

The critical issue is whether the infrastructure operator is using dominance in one bottleneck to extend market power into an adjacent market.

11. Interoperability and Switching Costs

Financial infrastructure often depends upon highly specialised technical systems.

Users may face substantial costs when switching because of:

• API incompatibility;
• proprietary protocols;
• historical data formats;
• certification requirements;
• compliance integration;
• operational risk;
• migration costs;
• retraining;
• liquidity fragmentation.

A dominant platform may therefore obtain durable power through technical lock-in.

Interoperability can consequently become a competition-law remedy.

12. Refusal to Interoperate

A dominant financial infrastructure provider might refuse to connect with a competing:

• exchange;
• payment system;
• clearing facility;
• liquidity provider;
• routing system.

Under exceptional-circumstances principles, such refusal can become problematic where access to the infrastructure is indispensable for effective competition.

The classic essential-facilities doctrine becomes particularly relevant where duplication is economically or technically impracticable.

13. Algorithmic Discrimination

Competition authorities increasingly need to distinguish between:

Legitimate optimisation

The algorithm routes orders according to:

• price;
• liquidity;
• execution probability;
• risk.

Exclusionary optimisation

The algorithm systematically:

• penalises rivals;
• favours affiliated firms;
• restricts competing infrastructure;
• manipulates access;
• increases rivals' execution costs.

The difficulty is that the discriminatory rule may be hidden inside millions of lines of code.

14. Algorithmic Collusion

Routing systems can also facilitate coordination.

If competing financial institutions employ algorithms capable of observing and responding rapidly to one another, they may reach stable outcomes resembling coordination even without conventional communications.

Competition authorities must distinguish:

independent algorithmic adaptation

from

algorithmically facilitated collusion.

Relevant evidence may include:

• common algorithmic parameters;
• communications between firms;
• deliberate programming;
• synchronised pricing;
• monitoring mechanisms;
• deviations from competitive behaviour.

15. Regulatory and Competition-Law Overlap

Financial infrastructure is usually heavily regulated.

Authorities may include:

• securities regulators;
• central banks;
• financial-stability authorities;
• payment regulators;
• competition authorities.

Regulation, however, does not automatically immunise conduct from competition law.

A financial institution may be subject to prudential obligations while still possessing market power.

This produces an important institutional question:

How should competition authorities intervene without undermining financial stability?

A remedy that improves competition but destabilises settlement infrastructure could itself create systemic risk.

16. Systemic Importance

Liquidity-routing infrastructure can become systemically important.

If one routing system controls a large proportion of global liquidity, its:

• outage;
• cyberattack;
• algorithmic error;
• discriminatory rule;
• software failure;

could affect multiple financial markets simultaneously.

Competition policy therefore intersects with financial resilience.

The objective should not simply be fragmentation.

Instead, regulators may seek:

• interoperability;
• redundancy;
• transparent access;
• portability;
• auditability;
• multi-homing.

17. Six Important Case Laws

1. United States v. American Express Co. — U.S. Supreme Court (2018)

This case concerned two-sided transaction platforms and anti-steering restrictions.

The Supreme Court emphasised that transaction platforms can involve interdependent groups of users, making market definition and competitive effects more complicated than in conventional one-sided markets.

Relevance

Liquidity-routing systems similarly connect:

• traders;
• exchanges;
• market makers;
• liquidity providers.

The case is important because a routing platform may create value through interactions between multiple sides of the financial ecosystem.

Principle: competition analysis of multi-sided platforms must account for interdependent platform participants.

2. Ohio v. American Express — U.S. Supreme Court (2018)

The Court's analysis highlighted the importance of considering both sides of a two-sided platform when assessing competitive effects.

Application to liquidity routing

A financial routing system may simultaneously affect:

• investors;
• brokers;
• liquidity providers;
• trading venues.

An alleged increase in costs for one group cannot necessarily be analysed in isolation from effects elsewhere on the platform.

Principle: two-sided platform economics may require integrated competitive analysis.

3. United States v. Visa U.S.A. Inc. — Second Circuit (2001)

The case concerned restrictions imposed by Visa and MasterCard concerning competing payment networks.

The court addressed how network rules could restrict competition from rival payment systems.

Relevance

Global payment and liquidity infrastructure frequently depends upon network rules.

A dominant financial network may potentially exclude competitors by:

• restricting interoperability;
• preventing participation in competing networks;
• controlling access standards.

Principle: network rules can constitute exclusionary conduct where they restrict competitive alternatives.

4. United States v. Mastercard International Inc. — D.C. Circuit (2001)

This litigation addressed exclusionary rules affecting competing payment networks.

The case demonstrates the competition-law importance of network access and membership restrictions.

Application

A global liquidity-routing infrastructure operator could potentially use contractual or technical rules to prevent financial institutions from connecting to alternative infrastructure.

The analogy is especially strong where the incumbent possesses:

• network effects;
• large transaction volumes;
• proprietary standards;
• substantial switching costs.

Principle: dominant network operators cannot necessarily use participation rules to suppress competing networks.

5. European Commission v. Clearstream Banking AG and Clearstream International SA — General Court (2009)

This case concerned access to clearing and settlement infrastructure.

The European Commission found abusive conduct relating to discriminatory and restrictive access conditions.

Importance

Clearstream demonstrates the relevance of competition law to financial-market infrastructure itself, rather than merely to traditional trading firms.

Application

Where a dominant clearing or settlement infrastructure controls a bottleneck, discriminatory access can potentially constitute abuse.

Principle: financial infrastructure may itself constitute an economically significant facility whose discriminatory access conditions can attract Article 102 scrutiny.

6. Deutsche Börse AG / NYSE Euronext — European Commission (2012)

The European Commission prohibited the proposed merger between Deutsche Börse and NYSE Euronext.

The transaction raised concerns concerning competition in exchange-traded financial instruments and clearing-related services.

Relevance

The case demonstrates the importance of analysing:

• exchange concentration;
• derivatives trading;
• clearing;
• liquidity;
• network effects;
• vertical relationships.

A combined entity controlling multiple stages of the financial trading chain could obtain substantial infrastructure power.

Principle: consolidation across interconnected financial-market infrastructures can create serious competition concerns even where individual services appear contestable.

18. Additional Relevant Authorities

Several additional cases help develop the legal framework.

United Brands v Commission

The Court established important principles concerning dominance and exclusionary conduct. It remains relevant to assessing whether a firm possessing a critical infrastructure position has the ability to behave independently of competitors and customers.

Commercial Solvents v Commission

The case is important for the principle that a dominant undertaking controlling an essential input cannot necessarily use that position to eliminate competition in a downstream market.

This has considerable relevance where a financial infrastructure operator controls an indispensable liquidity or settlement input.

Bronner v Mediaprint

Bronner established the demanding conditions associated with refusal-to-supply and essential-facilities reasoning.

It is relevant when considering whether access to a particular financial routing or settlement system is genuinely indispensable.

IMS Health v Commission

IMS Health is particularly significant for infrastructure involving proprietary technical systems and interoperability.

It illustrates the tension between:

• intellectual property;
• infrastructure control;
• interoperability;
• competition.

Slovak Telekom v Commission

This case illustrates how infrastructure access restrictions can interact with Article 102 where a vertically integrated dominant undertaking controls an upstream network and competes downstream.

That logic can be highly relevant to vertically integrated financial infrastructures.

19. Potential Abusive Practices

Competition authorities should examine whether dominant liquidity-routing platforms engage in:

A. Self-preferencing

Routing orders disproportionately toward affiliated entities.

B. Discriminatory access

Providing competitors with inferior APIs, latency or connectivity.

C. Margin squeeze

Charging high upstream infrastructure fees while competing downstream at prices that rivals cannot profitably match.

D. Refusal to interoperate

Blocking competing liquidity or settlement infrastructure.

E. Exclusive dealing

Preventing customers from simultaneously using competing routing systems.

F. Tying

Conditioning access to infrastructure on use of proprietary technology.

G. Predatory pricing

Subsidising routing services to eliminate competing providers.

H. Excessive pricing

Charging supra-competitive access fees where users have no viable alternative.

I. Data exploitation

Using privileged order-flow information to disadvantage independent competitors.

J. Algorithmic discrimination

Embedding exclusionary preferences within automated routing rules.

20. Merger-Control Risks

Mergers involving financial infrastructure can be particularly sensitive.

Examples include combinations between:

• exchanges and clearing houses;
• exchanges and data providers;
• payment networks and banks;
• trading platforms and routing technology;
• market-data providers and execution platforms;
• clearing infrastructure and settlement systems.

Authorities should examine:

horizontal effects + vertical effects + data effects + network effects.

A merger may be problematic even when traditional market shares do not appear overwhelming if the transaction removes an important competitive alternative.

21. Global Dimension

The word global is important.

Liquidity does not necessarily follow national borders.

A single institution may route orders through:

• London;
• New York;
• Singapore;
• Frankfurt;
• Hong Kong;
• Dubai;
• Tokyo.

Consequently, competition authorities may confront conduct affecting multiple jurisdictions simultaneously.

Potential conflicts include:

• different definitions of relevant markets;
• divergent merger thresholds;
• different approaches to algorithmic evidence;
• financial-sector exemptions;
• data-localisation requirements;
• confidentiality restrictions;
• inconsistent remedies.

International cooperation therefore becomes increasingly important.

22. Competition Versus Financial Stability

The most difficult policy question is whether competition authorities should force interoperability or decentralisation.

There are two competing concerns.

Excessive concentration

Can create:

• monopoly rents;
• exclusion;
• systemic dependency;
• discriminatory access;
• innovation suppression.

Excessive fragmentation

Can create:

• liquidity fragmentation;
• increased settlement risk;
• lower market depth;
• higher transaction costs;
• reduced resilience.

Therefore, the optimal regulatory model is not necessarily maximum decentralisation.

It may instead be:

competitive access to resilient shared infrastructure.

23. Possible Remedies

Competition authorities could consider:

Structural remedies

• divestiture;
• separation of trading and clearing;
• separation of routing and market-making operations.

Behavioural remedies

• non-discriminatory access;
• transparent routing criteria;
• equal API access;
• prohibition of self-preferencing.

Technical remedies

• interoperable APIs;
• open technical standards;
• data portability;
• switching mechanisms;
• independent algorithmic auditing.

Governance remedies

• independent compliance committees;
• algorithmic governance oversight;
• conflict-of-interest controls;
• audit trails.

Data remedies

• restrictions on use of confidential order-flow information;
• data-access obligations;
• separation between infrastructure data and proprietary trading operations.

24. Algorithmic Transparency

Complete disclosure of algorithms is not always desirable because it may:

• reveal proprietary technology;
• facilitate gaming;
• expose security vulnerabilities.

A better approach may be regulatory explainability.

Authorities could require firms to demonstrate:

• routing objectives;
• material decision variables;
• treatment of affiliated entities;
• execution-priority rules;
• data inputs;
• governance controls;
• changes to algorithms.

Thus, competition enforcement need not require publication of source code.

25. The Emerging Concept of “Liquidity Infrastructure Power”

Traditional antitrust analysis focuses on:

market power over products or services.

Financial technology increasingly creates another form:

market power over infrastructure through which liquidity moves.

This can be conceptualised as:

Liquidity Infrastructure Power = control over critical financial gateways + network effects + proprietary data + routing intelligence + switching costs.

Such power can exist even where the infrastructure operator does not directly determine the final price of the financial asset.

26. Key Competition-Law Questions

Authorities investigating global liquidity-routing systems should ask:

1. Who owns the routing algorithm?
2. Who controls the underlying infrastructure?
3. Which participants receive preferential access?
4. Does the operator compete with users of its infrastructure?
5. Does it possess confidential order-flow information?
6. Can users multi-home?
7. How difficult is switching?
8. Are competing systems interoperable?
9. Does the algorithm favour affiliates?
10. Can rivals realistically replicate the infrastructure?
11. Are technical standards neutral?
12. Does the system create network effects?
13. Could the conduct foreclose liquidity providers?
14. Could it facilitate coordination?
15. Would a remedy create financial-stability risks?

27. Overall Legal Assessment

The competition-law treatment of global liquidity-routing algorithms should combine traditional antitrust doctrine with digital-platform and financial-infrastructure analysis.

The principal legal theories are:

• abuse of dominance;
• refusal to deal;
• discriminatory access;
• self-preferencing;
• tying and bundling;
• margin squeeze;
• exclusionary contracts;
• information advantages;
• algorithmic coordination;
• merger control;
• essential-facilities principles.

The six principal authorities discussed—American Express, Visa, Mastercard, Clearstream, Deutsche Börse/NYSE Euronext and the essential-facilities line of EU/U.S. cases—demonstrate that financial competition is increasingly concerned not merely with who supplies financial products, but with who controls the networks through which financial activity occurs.

Conclusion

Global liquidity-routing algorithms represent a new layer of economic infrastructure. Their importance derives from the combination of automation, network effects, real-time data, low latency, interoperability and control over access to liquidity.

The greatest competition risk arises when one undertaking simultaneously controls:

financial infrastructure → routing algorithm → market data → liquidity access → downstream trading activity.

At that point, the firm can potentially influence not merely where transactions occur but which competitors receive liquidity, which venues gain scale, which participants obtain information and which alternative infrastructures remain viable.

Accordingly, future competition law is likely to move beyond conventional market-share analysis toward a broader concept of infrastructure-mediated market power, with algorithmic routing, interoperability, data governance and financial resilience becoming central components of antitrust enforcement.