Liquidity Management in 2026

Why is FX liquidity management becoming increasingly complex and what are the key challenges that trading firms are facing with it?

FX liquidity management is more complex because firms are dealing with an increasingly fragmented mix of liquidity providers, venues, and execution methods, while at the same time, client flows are more concentrated in their asset selection but more differentiated in their flow profile.

Put simply, managing highly concentrated client flows with widely varying market impact profiles and aligning these with an increasingly disparate liquidity landscape is taking more focus than ever before.

On the client side, speed is crucial. Identifying changes in flow profiles as they evolve and react to volatile market conditions has become a process of sifting through ever more noise and data.

On the liquidity side, benchmarking of mid-points has been increasingly important especially around market open and close. With geopolitical turmoil at a crescendo, market open and close phases have seen increasingly defensive and fragmented liquidity forming the basis for continuous mid formation. That raises the operational burden of continuously reassessing pricing quality across sources, and it increases the risk of over-aggregation – where combining too much liquidity without enough discrimination can worsen market impact outcomes.

Liquidity management has also become an optimisation problem, not a spread comparison. Firms need to manage both execution cost and the downstream cost of risk, because a pool that looks competitive at entry may be expensive once post-trade drift and LP behaviour are taken into account – particularly in aggregated environments where adverse selection can build quickly. The practical challenge is building a repeatable curation process that segments LPs by decay-adjusted outcomes and supports stable, long-term liquidity partnerships rather than short-term “tightest quote” selection.

In what ways is new technology like AI, real-time analytics and automated platforms revolutionising FX liquidity management and helping to make execution more precise, automated and predictive?

The practical shift is that liquidity tooling is being embedded alongside the price formation and order execution process, rather than sitting behind it as an after-the-fact reporting function. Near real-time analytics give firms a continuously updated view of liquidity behaviour, outlier detection – in whatever form it may take, from off-market quotes to price latency – ensures the liquidity mix can be adjusted rapidly as conditions evolve – not reviewed and corrected later.

That foundation enables automation that’s genuinely useful: event-driven rules and models can respond to changes in risk and market conditions quickly, reducing reliance on manual tuning and making outcomes more consistent.

How are leading FX providers leveraging new technology to meet the needs of clients looking for more insight and transparency into execution quality, pricing, and the true cost of liquidity?

Leading providers understand that providing clients tooling and analysis that explains why they’re seeing certain price and execution behaviours is crucial. This is really driven by accountability as to how and why certain parameters are applied. If these analytics can assist clients to make an informed decision based on why they are seeing a certain price, fill time, or even what its costing them to cross the spread during different market phases, that’s a good thing.

At 26 Degrees, we’ve leaned into this through benchmarking and quote filtration (so clients can tune how they view and consume liquidity), and through real-time impact and spread monitoring via our in-house analytics system “Insights.” This lets clients and our team slice performance by factors like pair, size, order type, and market conditions, then make targeted adjustments, based on evidence, not anecdotes.

Where is increased demand for more tailored liquidity and pricing coming from and how can technology help FX providers to deliver this?

We see demand being driven by the fact that client flow profiles are increasingly differentiated even as concentration in highly traded currency pairs and precious metals increases. It’s important to remember that clients don’t all want the same thing from pricing. Some prioritise a low-noise, consistent view of the mid with lower spread volatility, while others are comfortable with more dynamic pricing if it better supports their trading style or objectives.

Technology makes that tailoring scalable. It enables configurable liquidity pools, benchmarks, quote filters and spread settings, supported by ongoing monitoring so the configuration stays aligned to a client’s flow profile and preferences as conditions change.
In practice, delivering that tailoring at scale relies on flexible order-routing and flow-management controls backed by real-time monitoring, so we can manage different flow profiles without pushing extra operational effort or infrastructure onto the client, while keeping core pricing behaviour stable.

What benefits do clients get by working with a smaller group of LPs and are these amplified when some of these have fully embraced the power of new technology?

Working with a smaller, curated group of LPs can improve outcomes because it reduces noise and inconsistency in execution under normal market conditions. In an aggregated environment, it only takes one LP with a more aggressive risk/hedging response than its peers to amplify market impact and degrade execution for the whole pool. A tighter LP set makes it easier to align behaviour, stabilise pricing, and keep execution quality more predictable – especially as flows become more differentiated. As always, an aggregated stack is only as fast as the slowest input price and that, at the end of the day, remains a crucial factor.

Those benefits are amplified when LPs have fully embraced modern analytics and automation, because it becomes easier to evidence performance and iterate quickly: tighter feedback loops, clearer diagnostics on what’s driving costs, and faster, more targeted adjustments to pool composition and execution settings. The result is less spread shopping and more consistent, measurable execution outcomes over time.

In what ways can utilising new technology and associated toolsets actually strengthen the relationships clients have with their LPs and make them more effective and important?

It can certainly build trust. Feedback backed by data, can get to the heart of opportunities or challenges in a way that dialogue alone cannot. Sharing of analytics does require a degree of transparency but can help to sustain more sustainable relationships where optimisation is a shared process between liquidity provider and consumer.

How far can the arrival of new technology shift FX liquidity management from a simple transactional model to a more data-driven, collaborative partnership and will liquidity providers continuously need to innovate and utilise next generation technology to stay relevant?

It can shift materially. Once analytics are embedded as a real-time control layer, liquidity management moves from a transactional “quote-and-trade” model toward a continuous optimisation loop built around measurable outcomes (execution quality, impact, stability). That naturally supports a more collaborative partnership, because the LP is no longer just providing prices, it’s actively using data to improve how liquidity is curated and delivered over time.

Continuous innovation from LPs is particularly key. If a provider can’t offer transparency, workflow-integrated analytics, and adaptive behaviour through periods of higher volatility, it becomes harder to justify their place in curated pools – even if their pricing looks competitive in benign conditions.