Alpha Report
JPY/USD | July 2026

Market SectorFXModelPythia-v0.6.0
Date FromJul 01 2026Date ToJul 31 2026
Published Aug 4, 2026

1. Executive Summary

6J Macro Review for July 2026

The Japanese Yen appreciated roughly 1.89% against the US dollar during July 2026, supported by a continued Bank of Japan tightening bias as policymakers signalled further gradual rate increases following their June hike, while the Federal Reserve held rates steady amid softening US labour data and growing expectations of an autumn easing cycle. Heightened geopolitical uncertainty, particularly renewed tensions in the Middle East and associated safe-haven flows into the yen, amplified the move, with the currency extending gains into month-end as risk assets sold off broadly in the final sessions. Against this backdrop, the strategy returned -1.11% for the month, underperforming the benchmark as positioning was not sufficiently aligned to capture the late-month yen rally driven by these converging macro and geopolitical tailwinds.

Signal Performance Overview for July 2026

Trailing 12-month Sharpe 0.528 and return 0.969% (through the period in Table 3 below). During the report month, the JPY/USD benchmark (rebased series, see Figure 1) rose approximately 1.89%; the strategy returned -1.11% over the same window. Win rate eased to 56.96% from 59.89% in the prior window, while max drawdown deepened modestly to -2.65% versus -1.96%, signaling a slight deterioration in both trade consistency and downside containment. The current period carries a marginally softer risk profile overall, though drawdown remains shallow and the win rate holds above the majority threshold, suggesting the strategy retains structural discipline despite the incremental headwinds.

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)
Retrained 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-1.52253.990
2026 Jul-1.21828.613
2026 Jun0.06870.646
2026 May-0.50345.257
2026 Apr-0.11960.784
2026 Mar0.34555.242
2026 Feb0.78663.667
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

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Jul 2026-1.21828.613
Jul 20250.87561.270
Jul 20240.66359.042

Table 3: 12-Months Ending Performance

Metric12 months ending Jul 202612 months ending Jun 2026Change
Sharpe0.5281.009-0.481
Ann Return (%)0.9693.121-2.152
Win Rate (%)56.96259.894-2.932
Max DD (%)-2.651-1.964-0.687
Volatility2.6722.801-0.129
Calmar0.5321.439-0.907

Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the 6J price (100 = July 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