Alpha Report
JPY/USD | June 2026

Market SectorFXModelPythia-v0.6.0
Date FromJun 01 2026Date ToJun 30 2026
Published Jul 7, 2026

1. Executive Summary

6J Macro Review for June 2026

The 6J benchmark declined approximately 1.30% over June 2026, as the Japanese yen came under renewed selling pressure amid a divergence in monetary policy direction (the Bank of Japan remained cautious and effectively on hold despite earlier market expectations of further tightening, while the Federal Reserve signalled a more gradual easing path than anticipated, keeping the dollar broadly supported against the yen). Geopolitical uncertainty in the Asia-Pacific region, alongside month-end rebalancing flows that favoured dollar strength, contributed to a late-month leg lower in the yen that accounted for a meaningful portion of the benchmark's drawdown. Against this backdrop, the strategy navigated the period defensively, returning +0.07% and largely sidestepping the month-end sell-off through reduced directional exposure.

Signal Performance Overview for June 2026

Trailing 12-month Sharpe 0.988 and return 3.045% (through the period in Table 3 below). During the report month, the 6J benchmark declined approximately 1.30%; the strategy returned +0.07% over the same window. Drawdown remains contained at -1.96%, unchanged from the prior window, reflecting consistent capital preservation discipline. Win rate has nudged higher to 59.95% from 58.02%, suggesting a modest improvement in trade selectivity and directional accuracy relative to the previous period.

Signal Coverage — JPY/USD

Asset ClassTrading SymbolName
Futures6J, M6JJapanese Yen Futures
ETFFXYInvesco CurrencyShares Japanese Yen Trust
SpotJPY/USDJapanese 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

CategoryValue
Model FamilyPythia
Versionv0.6.0
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Trained Time Period20Q1 to 24Q4
Final Validation Period25Q1 to 26Q2

4. Performance Metrics

Table 1: Monthly Return and Win Rate Metrics (Last 12 Months)

MonthReturn (%)Win Rate (%)
2026 YTD-0.38058.693
2026 Jun0.06870.646
2026 May-0.50345.257
2026 Apr-0.11960.784
2026 Mar0.42556.603
2026 Feb0.63163.033
2026 Jan-0.87555.020
2025 Dec0.10660.635
2025 Nov0.27460.944
2025 Oct1.97968.677
2025 Sep0.52860.873
2025 Aug-0.35054.532
2025 Jul0.87561.270

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
June 20260.06870.646
June 2025-0.24347.355
June 20240.31253.188

Table 3: 12-Months Ending Performance

Metric12 months ending June 202612 months ending May 2026Change
Sharpe0.9880.923+0.065
Ann Return (%)3.0452.704+0.341
Win Rate (%)59.94958.018+1.931
Max DD (%)-1.964-1.9640.000
Volatility2.7962.906-0.110
Calmar1.4061.366+0.041

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q2 2026-1.382-0.55459.021-1.4702.046-1.923
Q1 20260.0760.17758.224-1.9643.8130.148

Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the 6J price (100 = June 01, 2026)

5. Next Steps

Download historical predictions for this month using the Client API and confirm performance in your own test harness.

6. Contact

Please reach out with any questions or comments at: info[at]quantumsignals.ai