Previously, we looked at how modern U.S. equities trading is being shaped by speed, fragmentation and the growing demands placed on market data and execution infrastructure.
This time, we’re turning to FX and fixed income – two markets where liquidity is distributed across venues and geographies, workflows can be complex and conditions can shift quickly. In both, the message is the same: when liquidity thins and volatility rises, the quality of your infrastructure stops being a background consideration. It starts influencing decisions in real time.
When Liquidity Thins, Infrastructure Drives Decisions
A Stress Test in FX: Record Volumes, Tighter Decision Windows
FX market conditions can change quickly, and at massive scale. Per the BIS, global FX turnover climbed to $9.6 trillion per day in April 2025, a 28% increase from the prior survey period.
In practical terms, a volume surge like that compresses decision-making windows. Firms have to ingest and normalize more prices, form an actionable view of liquidity across sources, distribute it to where decisions are made and execute without introducing delay or inconsistency. In fast conditions, small gaps in the system – stale inputs, latency variance, noisy aggregation – translate into trading outcomes.
A Parallel Lesson in U.S. Treasurys: Volatility Can Drain Depth
April 2025 delivered a similar lesson in U.S. Treasurys. The Federal Reserve noted that amid volatile conditions, Treasury market liquidity hit "historically low levels" before recovering later in the year. New York Fed research puts the episode in sharper relief: the deterioration was sudden but brief, and less severe than either March 2020 or the March 2023 banking turmoil.
The point is not that Treasury liquidity is fragile today. The same analysis tracks the recovery: liquidity improved quickly once the tariff increases were partially rolled back, then strengthened through the rest of the year to reach its best level since 2021 by early 2026.
That is precisely what makes the April 2025 episode worth studying rather than filing away. The deepest market in the world moved from normal conditions to historically poor liquidity in a matter of days, on an event nobody had modeled the week before, and then recovered. A system that performs well in the current environment has told you very little about how it behaves in the next one.
The authors make that point themselves. Their sample ends with the last trading day of February 2026, and they close by noting that economic uncertainty and interest rate volatility have risen since — underlining, in their words, that Treasury market liquidity warrants continued close watching.
The Takeaway: Liquidity Events Expose the System
These two markets are different, but the operational takeaway is the same. Liquidity events don’t just test trading strategies – they test the entire trading system. When markets are calm, a fragmented architecture can still function adequately. When liquidity thins and volatility rises, the penalties show up immediately: inconsistent prices, slower or less stable distribution, wider latency dispersion and limited visibility into what happened at the moment the decision was made. The result is not abstract “technical debt.” It’s execution quality.
A Structural Deadline this Year in Clearing
Volatility is not the only thing reshaping fixed income infrastructure, putting pressure on the technical teams supporting these systems. The SEC's central clearing requirement for eligible U.S. Treasury cash transactions takes effect on December 31, 2026, with eligible repo transactions following on June 30, 2027. The Commission has publicly reaffirmed both dates.
Major regulatory reform drives significant overhead to review and assess impacts, manage resourcing and change management activities to ensure no impact to ongoing trading activities. This lands on a rates market already absorbing a step change in electronic activity. The same BIS survey that recorded record FX turnover put OTC interest rate derivatives turnover at $7.9 trillion per day in April 2025 – a 59% rise in three years, and a far steeper climb than FX's 28%. More volume, smaller average tickets, more messages per dollar traded. The clearing obligation arrives on top of all of it.
What Trading Teams Need When Liquidity Is Unpredictable
In both FX and fixed income, execution quality increasingly depends on whether firms can maintain a consistent, actionable view of liquidity across venues and streams – and deliver that view quickly to the people and systems making decisions. That sounds obvious, but it is surprisingly difficult to sustain as venue counts grow, internal consumers multiply and volatility forces systems to operate at peak throughput.
When capacities push the limits of legacy systems, components fail in predictable ways:
Distribution inefficiency – Data reaches different regions or applications with different timing or missing data frames.
Latency variance – Unpredictable jitter changes decisions even when “average” performance looks fine.
Too many handoffs – Separate components for feed handling, aggregation, and execution introduce delays and failure points.
Limited observability – Teams can’t diagnose what happened quickly enough to diagnose and resolve issues without causing lengthy trading outages.
Normalization inconsistency – The same market is represented differently across feeds, venues or internal components.
These are infrastructure problems, but they show up as trading problems – especially when the market is moving and liquidity is fragile.
How Redline Delivers
FX is built on fragmented liquidity and global participation. The challenge isn’t simply accessing prices – it’s turning a flood of venue- and counterparty-specific streams into a consistent, actionable view. Participants must build composites, assess liquidity quality, and distribute data across regions. Fixed income brings similar stress points and is equally sensitive to timing, signal quality and market data quality.
This is where Pico's Redline software comes in. Redline is designed to keep the transition market data to execution fast, consistent and operationally clean, allowing teams to scale to more venues, more strategies and more regions without multiplying complexity.
A snapshot of what we enable:
Build a reliable, actionable liquidity view – High-throughput market data processing that supports aggregation and composite building across sources.
Tighten tick-to-trade – Low-latency market data and high-performance execution in a single architecture to reduce handoffs and minimize delay and variance.
Support global distribution – Efficient delivery of market data to internal consumers across regions without degrading consistency or timeliness.
Handle multiple liquidity pools – Thoughtful and consistent normalization across markets to reduce coding complexity across different liquidity pools.
Operate with confidence under stress – Designed for predictable behavior and diagnosability when volatility spikes and liquidity becomes less dependable.
Conclusion: Scale Connectivity Without Scaling Complexity
If your environment is growing – more venues, more internal consumers, more regions – the question is whether your system is getting more capable or just more complex. Pico Redline is designed to help trading teams simplify market data, preserve performance as conditions shift, and operate with confidence under stress. To learn more and explore how Redline supports FX and fixed income workflows across global markets, speak with a Pico expert today.
