News-event spread widening simulator
Forex spreads typically widen 10x to 50x during the first 1-5 minutes around major economic releases (NFP, FOMC, CPI, ECB, RBA). For active traders who concentrate around these windows, the structural spread cost can dominate the rest of the year combined. This simulator computes the annual cost uplift across enabled events and surfaces whether your event-window concentration is justified relative to your normal-time spread cost.
Simulator
Enter your normal trading profile and the percentage of trades you concentrate around major event windows. Enable the events you trade through. The simulator computes the annual cost uplift vs trading only during normal-time spreads.
Trading profile
Events to include
Per-event breakdown
| Event | Widened spread | Trades | Annual cost |
|---|
What happens to forex spreads around news releases
Two mechanisms drive the widening:
- Market-maker risk aversion. In the 60 seconds before and after a major release, no liquidity provider can confidently price the next print. NFP could come in at +180k or -50k. To avoid getting picked off by the directional surprise, market makers widen quoted spreads by 20 to 50x.
- Latency-arbitrage protection. High-frequency funds will hit retail brokers' stale quotes the instant the release fires. Brokers protect themselves by widening spreads or removing quotes entirely for 1 to 5 minutes. The retail trader who places a market order in this window pays the widened spread plus often additional slippage.
The combined effect: a EUR/USD position opened in the 30 seconds around NFP at a 0.7-pip normal spread will typically execute at an effective 15-25 pip cost. Active traders concentrating around these windows pay structural premiums many multiples of their normal-time cost.
Events modelled
Six high-impact events with their typical widening profiles:
| Event | Frequency / year | Spread multiplier | Duration |
|---|---|---|---|
| US Non-Farm Payrolls (NFP) | 12 (first Friday) | ~25x | 3-5 min |
| FOMC rate decision | 8 | ~35x | 5+ min |
| US CPI release | 12 | ~18x | 3 min |
| ECB rate decision | 8 | ~22x | 5 min |
| RBA rate decision | 11 | ~12x | 5 min |
| BoJ rate / intervention | 8 | ~30x | 5+ min |
The multiples are conservative averages observed across the top 4 ASIC-regulated brokers during the week of 14-20 April 2026. Direct-market-access institutional spreads are tighter; retail spreads with effective slippage on market orders are roughly the figures shown.
Methodology
- Annual trade count. trades_per_month × 12.
- Event trade fraction. User-supplied event concentration percentage of total annual trades, distributed across enabled events weighted by each event's annual frequency.
- Per-event annual cost. (widened_spread - base_spread) × pip_value × lots × event_trades. Captures the ADDITIONAL cost vs a normal-time trade.
- Total scenarios. 'Normal-time scenario' = total annual cost if all trades paid base spread only. 'Total annual cost' = normal-time cost + event additional cost. 'Cost uplift' = total / normal-time scenario.
- Pip value default. AUD 15.30 per pip per standard lot for EUR/USD on AUD account using April 2026 reference rates. Adjust if your pair / lot size differs.
Limitations
- Aggregate not per-event. The simulator treats all event trades equivalently. In reality, an FOMC trade is much more expensive than an RBA trade. The per-event breakdown table surfaces this but the headline aggregate smooths over the variance.
- Static multipliers. Real spread widening varies by surprise magnitude (a 200k NFP miss widens spreads more than a 50k beat), broker, time of day, and pair. The multipliers are conservative averages.
- Slippage not separately modelled. Effective slippage is baked into the multipliers; for traders using limit orders only, actual cost is lower. For market orders on retail accounts, the multipliers are realistic.
- Position holding ignored. If you held a position THROUGH the event rather than opening into it, the cost is the gap between pre-event mid and post-event execution. Different math; not modelled here.
- Stops not separately modelled. Stop-loss orders triggered during event widening fill at the widened spread. The cost impact is additional to entries; not separately modelled.
Related tools
- Total Cost of Trading Calculator (4 pairs) - normal-time annual cost across 5 ASIC brokers for EUR/USD, GBP/USD, AUD/USD, XAU/USD. Combine with this simulator for total cost with event uplift.
- Expectancy + Profit Factor Calculator - confirm your per-trade edge is positive before concentrating around news events.
- Risk of Ruin Calculator - probability of blow-up given edge and risk per trade. Critical context for event-window traders.
- Sharpe / Sortino / Calmar Ratio Calculator - risk-adjusted return assessment of your real trading record.
- Position Size Calculator - ASIC retail leverage cap warnings. Critical for event-window position sizing.
Frequently asked questions
Two reasons. First, market-maker risk aversion: in the minute around a release, no one knows what the next print will be (NFP could come in at +180k or -100k), so any liquidity provider has to price both sides aggressively to avoid getting picked off by a directional move. Second, latency-arbitrage protection: high-frequency funds will hit retail brokers' quotes immediately on a release; brokers protect themselves by widening or removing quotes for 1-5 minutes. Both effects compound, producing the 10x to 50x widening typical during major releases.
Three categories. Tier 1 - extreme widening: FOMC rate decisions (~30-50x base spread), BoJ rate decisions or intervention (~25-40x), NFP (~20-30x). Tier 2 - significant: US CPI release (~15-25x), ECB rate decisions (~15-25x), Bank of Canada rate decisions (~15-20x). Tier 3 - modest: RBA rate decisions (~8-15x), RBNZ, BoE rate decisions when not market-surprising. The exact multiple depends on the pair (the most-affected currency widens most), the broker (raw-spread brokers typically maintain tighter spreads than market-makers), and whether the print surprised consensus.
Typical pattern: extreme widening in the first 30 seconds, gradual normalisation over 3 to 5 minutes. Most retail brokers' spreads are back within 2x base by 5 minutes post-release. Some markets (FX in Asian session reactions to Fed decisions in US session) take longer. The simulator uses a 3-5 minute event window depending on the event type.
Statistically, very rarely. The structural spread cost paid into and out of the event window typically exceeds the directional edge most retail strategies capture from the release. Specific cases where event-window trading IS justified: (1) you have a genuine information edge (rare for retail); (2) you trade IN the direction of the surprise after the spread has normalised (post-event continuation); (3) you fade an obvious overreaction in the 30-60 minute window after the release. The simulator shows the cost; you decide whether your edge justifies it.
Three steps. First, total annual trades is computed from trades per month × 12. Second, the event concentration percentage determines what fraction of those trades fall in the event windows you have enabled. The event share is weighted by each event's annual frequency (e.g., FOMC = 8/year, NFP = 12/year, ECB = 8/year). Third, each event trade costs (multiplier × base spread - base spread) × pip value × lots additional vs a normal-time trade. Annual event cost is the sum across all enabled events. The 'uplift multiple' is total cost (events included) divided by total cost at normal-time spreads only.
Because the operational alternative for most retail traders is simply not trading in the event window. If you avoid the 1-5 minute window around releases, you pay normal-time spreads on all your trades. The simulator shows the cost difference between trading-through-events and avoiding-events as the 'uplift multiple' - if your strategy doesn't have a 1.5x to 2x improvement in expected return on event-window trades versus normal-time trades, you're paying a structural premium with no equivalent edge gain.
Three reference points. (1) Average retail trader: 5 to 10 percent (you happen to be trading during a few event windows per year, not deliberately). (2) News-focused trader: 15 to 30 percent (you specifically target a few major events per month). (3) News-only trader: 50 to 70 percent (your entire strategy is built around event trading, with selective normal-time entries). The default 10 percent is the average retail profile.
Indirectly. The spread multipliers used in the calculator reflect typical 'effective' execution costs which include both quoted spread widening AND the slippage retail traders experience when their orders fill at degraded prices during the high-volatility window. The 25x NFP multiplier on EUR/USD reflects this combined impact rather than the headline quoted spread which can be lower. For institutional execution with direct market access, the multiples are lower (typically 5-10x).
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