1. Executive Summary
6J Macro Review for May 2026
The Japanese yen futures benchmark (6J) declined approximately 1.58% in May 2026, as the Bank of Japan maintained a cautious, gradual tightening trajectory while the Federal Reserve signaled a prolonged hold on rates, keeping the interest-rate differential broadly unfavorable for the yen through much of the month. Renewed trade-policy uncertainty and geopolitical tensions weighed on risk sentiment in mid-month, contributing to yen volatility, before a modest late-month recovery attempt faded into month-end as dollar demand reasserted itself. Against this backdrop, the strategy navigated the drawdown more defensively, limiting losses to -0.20% versus the benchmark's -1.58% decline.
Signal Performance Overview for May 2026
Trailing 12-month Sharpe 0.923 and return 2.704% (through the period in Table 3 below). During the report month, the 6J benchmark (rebased series) declined approximately 1.58%; the strategy returned -0.20% over the same window. Drawdown remains contained at -1.96%, unchanged from the prior window, reflecting consistent capital preservation discipline. Win rate eased modestly to 58.02% from 59.74%, a marginal softening that suggests slightly less directional conviction but still a solidly positive hit rate overall.
Signal Coverage — JPY/USD
| Asset Class | Trading Symbol | Name |
|---|---|---|
| Futures | 6J, M6J | Japanese Yen Futures (CME) |
| ETF | FXY | Invesco CurrencyShares Japanese Yen Trust |
| Spot | JPY/USD | Japanese Yen / US Dollar Spot |
2. Trading Strategy
In order to produce the metrics below we use the signal in combination with the trading strategy below:
- Leverage: No leverage is applied for this strategy and metrics
- Positions:
- Entry positions: Every 5 minutes (between 09:45 and 12:00 ET) we decide to take a long, short or no position using 1/27 of our starting portfolio for the day (there are 27 possible openings per day). Each long/short position is then split into 5 parts and executed on each minute for the next 5 minutes following the decision. There is no sizing adjustment.
- Exit positions: We exit all positions at the end of the day. The exits are split over five minutes (15:55–16:00 ET).
- Costs: 1.3 bp round-turn assumption. Extra exchange/clearing fees not included.
- Contract series & roll: Front-month continuous. Switch at the open T–5 trading days before expiration; stop trading the expiring contract and start trading the next.
For detailed examples, flowcharts, and a full walkthrough of the trading strategy, see Benchmark Trading Strategy.
3. Model Training Data and Timeframe
| Category | Value |
|---|---|
| Model Family | Pythia |
| Version | v0.5.0 |
| Exchange | CME Globex |
| Data | Level II Limit Order Book (10 levels) |
| Trained Time Period | 20Q1 to 24Q4 |
| Final Validation Period | 25Q1 to 26Q2 |
4. Performance Metrics
Table 1: Monthly Return and Win Rate Metrics (Last 12 Months)
| Month | Return (%) | Win Rate (%) |
|---|---|---|
| 2026 YTD | -0.447 | 56.100 |
| 2026 May | -0.503 | 45.257 |
| 2026 Apr | -0.119 | 60.784 |
| 2026 Mar | 0.425 | 56.603 |
| 2026 Feb | 0.631 | 63.033 |
| 2026 Jan | -0.875 | 55.020 |
| 2025 Dec | 0.106 | 60.635 |
| 2025 Nov | 0.274 | 60.944 |
| 2025 Oct | 1.979 | 68.677 |
| 2025 Sep | 0.528 | 60.873 |
| 2025 Aug | -0.350 | 54.532 |
| 2025 Jul | 0.875 | 61.270 |
| 2025 Jun | -0.243 | 47.355 |
Table 2: Year over Year Performance Comparison
| Month | Return (%) | Win Rate (%) |
|---|---|---|
| May 2026 | -0.503 | 45.257 |
| May 2025 | 1.620 | 65.894 |
| May 2024 | 1.563 | 75.969 |
Table 3: 12-Months Ending Performance
| Metric | 12 months ending May 2026 | 12 months ending Apr 2026 | Change |
|---|---|---|---|
| Sharpe | 0.923 | 1.494 | -0.571 |
| Return (%) | 2.704 | 4.924 | -2.220 |
| Win Rate (%) | 58.018 | 59.743 | -1.725 |
| Max DD (%) | -1.964 | -1.964 | 0.000 |
| Volatility | 2.906 | 3.110 | -0.204 |
| Calmar | 1.366 | 2.366 | -1.000 |
Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the 6J price (100 = May 01, 2026)
5. Next Steps
Download historical predictions for this month using the Client API and confirm performance in your own test harness.
- Sign-up: Start Free Trial
- API Documentation: https://quantumsignals.ai/documentation
6. Contact
Please reach out with any questions or comments at: info[at]quantumsignals.ai
