USD/JPY Risk-Off Rebound
Dukascopy Tick Data · In-sample 2017–2022 · Out-of-sample 2022–2026 · commission included
After a large S&P 500 down day (below 0.6 standard deviations of its trailing 60-day returns), buy USD/JPY at 23:00 UTC and sell at 20:55 UTC the next day, earning one night of swap. Profitable in every in-sample year 2017-2021 (PF 2.09, +$7,200 on 150 trades); out of sample 2022-2025 it lost $32 on 172 trades (PF 1.00).
USD/JPY · Candidate 1
Does not hold upUSD/JPY · Candidate 2
Does not hold upStrategy Rules
Backtest Parameters
Methodology
Genetic optimization on the in-sample window with a net-of-costs robustness criterion; parameter-plateau selection (top candidates must have profitable neighborhoods, not just a best pass); out-of-sample window run once per frozen candidate on real ticks; verdicts gated on net profit factor, drawdown, and IS-to-OOS retention.
Key Takeaway
The rebound existed in the years it was measured on and ended with the regime the spec itself named as its killer, the 2022 yen collapse. Out of sample the strongest failed gate is profit factor (1.00 and 0.96 against 1.15); only 2024 was positive (+19.7%, the August carry-unwind rebound) and the 40-pip stop was hit on 101 of 172 trades once USD/JPY's daily range doubled, producing a 21% drawdown from a 4.3% in-sample one. The swap was earned as designed (+$583 out of sample) and was irrelevant. Real tick data, $3.50 per side commission, native swaps.
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Disclaimer: Past performance is not indicative of future results. These backtest results are based on historical data with realistic commission assumptions. Real trading involves additional risks including execution delays, variable spreads, and emotional decision-making.
Common questions
Does the USD/JPY Risk-Off Rebound strategy work?
After a large S&P 500 down day (below 0.6 standard deviations of its trailing 60-day returns), buy USD/JPY at 23:00 UTC and sell at 20:55 UTC the next day, earning one night of swap. Profitable in every in-sample year 2017-2021 (PF 2.09, +$7,200 on 150 trades); out of sample 2022-2025 it lost $32 on 172 trades (PF 1.00). Our verdicts: USD/JPY · Candidate 1: Does not hold up; USD/JPY · Candidate 2: Does not hold up.
What were the out-of-sample results of USD/JPY Risk-Off Rebound?
Out-of-sample window 2022.01.01 – 2026.01.01, net of costs. USD/JPY · Candidate 1: -$32 net on $10,000 over 172 trades, profit factor 0.997, win rate 37.21%, max drawdown 21.02%, profitable in 1 of 4 calendar years (2022-2025). USD/JPY · Candidate 2: -$283 net on $10,000 over 172 trades, profit factor 0.957, win rate 48.26%, max drawdown 12.61%, profitable in 2 of 4 calendar years (2022-2025).
How much of the USD/JPY Risk-Off Rebound in-sample edge survived out of sample?
USD/JPY · Candidate 1: in-sample profit factor 2.094, out-of-sample 0.997, so 48% of the in-sample profit factor was retained. USD/JPY · Candidate 2: in-sample profit factor 1.819, out-of-sample 0.957, so 53% of the in-sample profit factor was retained.
What data, period and costs was USD/JPY Risk-Off Rebound backtested with?
In-Sample Window: 2017.01.01 – 2022.01.01; Out-of-Sample Window: 2022.01.01 – 2026.01.01; Data Source: Dukascopy tick data (real ticks); Starting Capital: $10,000; Risk per Trade: 1.0% of equity; Commission: $3.50/side/lot (IC Markets Raw, modeled); Out-of-sample Runs Consumed: 2.
Why was USD/JPY Risk-Off Rebound rejected?
The rebound existed in the years it was measured on and ended with the regime the spec itself named as its killer, the 2022 yen collapse. Out of sample the strongest failed gate is profit factor (1.00 and 0.96 against 1.15); only 2024 was positive (+19.7%, the August carry-unwind rebound) and the 40-pip stop was hit on 101 of 172 trades once USD/JPY's daily range doubled, producing a 21% drawdown from a 4.3% in-sample one. The swap was earned as designed (+$583 out of sample) and was irrelevant. Real tick data, $3.50 per side commission, native swaps.