FX desks have spent much of the past decade using automation to scale processing volumes efficiently without increasing headcount at the same rate. That work has delivered measurable gains: faster processing and workflows capable of handling higher day-to-day volumes with less manual intervention.
But 2026 has provided a reminder to the market that efficiency, while important, is only part of the story. In volatile conditions, when volumes rise sharply, liquidity conditions shift, and pressure builds across execution, risk, and post-trade simultaneously, resilience becomes the most critical element of a strong technology stack.
Recent volatility tests
FX is often one of the first asset classes to reflect macro and geopolitical shocks. It reflects changes in interest rates, central bank expectations, trade flows, investor confidence, and geopolitical risk in real time. Following the escalation of the conflict in Iran in late February 2026, FX markets saw one of the largest month-on-month volume surges since the start of the Ukraine conflict in 2022, with activity rising by almost 27% across major venues. Across some ION FX clients, volumes rose more than 55% over the same period, with platforms continuing to operate without service interruption.
How tech stacks function in these conditions reveals whether they are built to operate only in ‘good times’ or designed for scalability and institutional-grade robustness under stress conditions. Workflows that appear highly automated in normal market conditions may still be vulnerable if execution, risk, settlement and operations are managed through siloed systems.
The shift from point solutions towards ‘end-to-end’ platform design
Point solutions can deliver efficiency within a single workflow, but in order to achieve true resilience, there is an inherent need for execution, risk, and post-trade to operate as a single, integrated system rather than a collection of capable but disconnected modules.
Straight-through processing (STP) across these blocks has long been how firms measure automation, serving as a proxy for tech maturity. In stressed markets, however, the more relevant question is whether the technology stack and infrastructure are robust enough to maintain high STP rates as volatility drives volume and settlement processing needs increase.
This resilience cannot be established by testing individual workflows in isolation, because market stress does not hit execution, pricing, risk and settlement sequentially, it hits all of them simultaneously. A firm may have a strong execution engine, a capable risk management system, and a scalable post-trade processing system, but if those workflows are not integrated and managed as a single operating model, the firm does not know how the full stack will react under pressure. As is well-established within process engineering, the theory of constraints will manifest itself in the form of bottlenecks around the lowest throughput part of the workflow – creating a backlog that constrains the entire ecosystem.
Tech resiliency as a competitive differentiator
With growing volatility and uncertainty, resiliency becomes an ever more strategic differentiator. A key driver of this differentiation is a more holistic look at tech stacks in lieu of pin-point solutions.
A fragmented stack can show that each part of the lifecycle works in isolation, but it cannot fully show how the end-to-end infrastructure behaves when under pressure. By contrast, a holistically designed tech stack that covers the end-to-end trade lifecycle can ensure resiliency testing captures the full spectrum of needs from execution, to risk and post-trade workflows.
For any long-term focused business, a critical question is whether it can survive when the environment is challenging. For FX desks, the question is whether infrastructure can function as expected when volatility amplifies volume, risk and operational pressure
We have seen large operations centres increase post-trade STP rates from around 70% to more than 99.5%, with those levels maintained through recent record months despite global volume increases of up to 27%. In normal markets, that reduces cost and manual workload. In volatile markets, it reduces operational fragility and positions these firms as key partner to their clients – especially when others struggle to deliver.
Technology investments remain important for efficiency, but the greater value is in preserving control under stress: execution quality that holds up as volatility rises, real-time risk visibility, and post-trade processing that absorbs volume spikes without creating new bottlenecks.