The Bank for International Settlements’ latest triennial FX survey (the 2025 edition) confirmed what many market participants long suspected: foreign‑exchange market structure is evolving from an overwhelmingly bank‑intermediated market toward one where electronic platforms and non‑bank liquidity providers carry far greater weight. For active FX traders—retail algos, prop desks, and institutional execution teams—this structural drift matters for spreads, depth, slippage, and tail‑risk exposure.

What the survey signals for liquidity and venue mix

Key qualitative takeaways from the survey are straightforward and consistent with execution desks’ anecdotal experience over 2023–2026:

  • Electronic execution has increased its share across spot, swaps and short‑dated products, changing the way liquidity is displayed, matched and aggregated.
  • Non‑bank liquidity providers (systematic market‑makers, hedge funds, and principal trading firms) now contribute a materially larger share of two‑sided liquidity on major electronic venues.
  • Trading concentration remains high: a small number of venues and liquidity providers match a significant fraction of daily turnover, amplifying connectivity and operational importance.

These structural shifts are not just academic. They change the microstructure traders face: displayed depth, hidden liquidity, order‑book resilience, and the speed/fragility of liquidity during news events.

How market microstructure has changed—and why it matters

The greater role of electronic venues and non‑bank liquidity providers alters three practical dimensions of FX trading:

1. Spread dynamics vs. depth dynamics

Electronic matching often produces tighter quoted spreads in normal conditions because many systematic market‑makers compete in the anonymousbook. However, tighter quotes can be accompanied by thinner depth behind the best prices. For intraday tacticians, that means smaller headline spreads but higher market‑impact for larger tickets—especially during periods of repriced risk.

2. Speed and ephemeral liquidity

Non‑bank liquidity is often fast and model‑driven. That is beneficial for latency‑sensitive strategies (stat arb, internal crossing) but increases the probability that liquidity vanishes rapidly when volatility spikes. The result: faster quote updates, lower cost for small trades, but more pronounced liquidity cliffs for larger or cross‑market hedges.

3. Fragmentation and routing complexity

With liquidity fragmented across ECNs, multi‑dealer platforms and proprietary internalizers, smart‑order routing and execution algorithms must adapt. Simple “send to best price” rules can underperform when hidden liquidity and maker‑taker profiles differ across venues.

Data‑driven consequences for common FX trading approaches

Below I compare how three broad execution approaches perform under the new structure and offer datadriven recommendations for each.

Execution via aggressive market orders (flow trading)

  • Pros: Low latency, capture of tight displayed spreads on major pairs in normal conditions.
  • Cons: Vulnerable to sudden depth evaporation during macro prints and cross‑asset moves; slippage can spike.
  • Recommendation: Split larger tickets, monitor real‑time order‑book depth (L2), and attach dynamic limits to execution—e.g., reduce aggressiveness when quote‑to‑trade ratios spike or when non‑bank participation drops on venue indicators.

Execution via limit orders and opportunistic posting (mean‑reversion / retail algos)

  • Pros: Better capture of displayed spread and rebates, exposure to liquidity provision rebates where available.
  • Cons: Higher fill uncertainty in fast markets; increased adverse selection risk from faster LPs latched to newsflow.
  • Recommendation: Use time‑in‑force windows tied to macro calendars; enhance order persistence logic (adaptive cancel/resubmit) and track executed share vs. posted share by venue to tune posting aggressiveness.

Cross‑asset hedging and execution via derivatives (futures and options)

  • Pros: Futures markets (CME/ICE) provide consolidated central limit order books with regulated clearing, which can offer reliable execution and transparent depth for large hedges.
  • Cons: Basis risk and timing mismatch between cash and futures markets can be costly during stress.
  • Recommendation: Use futures for size when predictability and central clearing are critical; overlay with small cash trades to manage basis and microstructure mismatch; include basis risk as an explicit dimension in hedging models.

Execution risk management: practical metrics to watch

As market structure evolves, traders should expand the toolkit beyond simple spread metrics. Practical, observable metrics to incorporate into execution and risk systems include:

  • Displayed depth at multiple levels (L2) and its standard deviation over short windows—indicator of resilience.
  • Fill rate on posted limit orders and executed volume per venue—shows where liquidity is real vs. ephemeral.
  • Quote‑to‑trade ratio and cancellation rates by venue—high cancellation implies more fleeting liquidity and higher adverse selection risk.
  • Realized slippage vs. predicted market impact models, segmented by time of day and macro calendar.
  • Connectivity and failover metrics—latency and drop rates for primary vs. backup LPs and venues.

Structural risks and policy leakage

The survey’s increased emphasis on non‑bank liquidity raises two systemic concerns that matter to traders and risk officers:

  1. Concentration risk. If a few non‑bank LPs and venues dominate, outages or risk repricing at those firms can produce amplified market‑wide liquidity shocks. Traders should monitor provider concentration in their executed flow and maintain diverse routing.
  2. Procyclicality. Systematic liquidity providers often withdraw capacity precisely when risk metrics rise. That amplifies volatility and can convert orderly moves into flash events. Tactical controls (size limits, conditional execution halts) mitigate exposure.

Practical checklist for FX traders adapting to the new structure

Below is a compact checklist—operational, analytical, and strategic—that active traders can apply this quarter:

  • Audit executed flow by venue and LP monthly; quantify share and make contingency plans for top 3 providers.
  • Incorporate L2 depth and cancellation rate thresholds into execution algos—reduce aggressiveness when either diverges from baseline.
  • Test cross‑venue routing logic in simulation with stressed liquidity profiles; include simulated “withdrawal” scenarios of top LPs.
  • Use futures or centrally cleared instruments for large hedges where appropriate; explicitly model basis and execution timing cost.
  • Expand transaction cost analysis (TCA) to include event‑based slippage (news prints, policy announcements) and seasonality (end‑month, quarter, holiday thinness).
  • Maintain operational redundancy: multiple market data feeds, redundant ECN connections and fallback execution partners.

Conclusion: adapt strategy, don’t assume static liquidity

The 2025 BIS triennial survey is not merely a snapshot; it signals a durable shift in how FX liquidity is created and accessed. For traders, the implications are concrete: headline spreads are a less reliable single metric of execution cost; depth and liquidity resilience matter more; and venue/LP selection, routing sophistication, and TCA become competitive edges.

Successful traders in this environment will blend fast, microstructure‑aware execution with robust risk guardrails—diversifying counterparties, augmenting limit‑order logic with real‑time liquidity signals, and treating centralised venues and derivatives as complementary execution tools rather than simple substitutes. In short: evolve the execution playbook to the new market plumbing, and you’ll trade both more cheaply and more safely.