Alpha Report
Dow Jones | July 2026

Market SectorEquity IndexModelPythia-v0.4.4
Date FromJul 01 2026Date ToJul 31 2026
Published Aug 4, 2026

1. Executive Summary

YM Macro Review for July 2026

July 2026 proved a modestly negative month for U.S. large-cap equities, with the Dow Jones benchmark (rebased series) slipping approximately 0.05% as markets navigated a Federal Reserve that remained firmly on hold, offering no fresh signals of near-term easing despite softer inflation prints mid-month. Lingering geopolitical uncertainty, particularly around Middle East supply-chain tensions and renewed trade friction with key Asian partners, weighed on sentiment and capped any sustained upside, with a late-month risk-off move into month-end erasing an earlier modest recovery. Against this backdrop, the strategy returned -0.23%, underperforming the benchmark by roughly 18 basis points as the choppy, range-bound price action made directional positioning difficult to sustain profitably.

Signal Performance Overview for July 2026

Trailing 12-month Sharpe 0.751 and return 3.096% (through the period in Table 3 below). During the report month, the Dow Jones benchmark (rebased series, see Figure 1) declined approximately 0.05%; the strategy returned -0.23% over the same window. Risk Posture & Period Comparison: The strategy maintained a maximum drawdown of -3.50% across both windows, signaling consistent capital preservation discipline with no meaningful deterioration in tail risk. Win rate edged modestly higher to 53.83% from 53.38%, suggesting a slight improvement in trade selection quality even as overall market conditions in the current period presented a broadly comparable risk environment to the prior window.

Signal Coverage — Dow Jones

Asset ClassTrading SymbolName
FuturesYMDow Jones E-mini
FuturesMYMMicro E-mini Dow Jones
ETFDIASPDR Dow Jones Industrial Average ETF

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 15:30 ET) we decide to take a long, short or no position using 1/69 of our starting portfolio for the day (there are 69 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: 1.5 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
Versionv0.4.4
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Retrained Time Period21Q1 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-1.32452.257
2026 Jul-0.48751.833
2026 Jun0.27859.536
2026 May0.53555.097
2026 Apr-0.64642.696
2026 Mar-0.98548.779
2026 Feb-0.69649.758
2026 Jan0.71456.434
2025 Dec0.76153.187
2025 Nov1.11650.191
2025 Oct1.51060.087
2025 Sep0.79662.173
2025 Aug0.21253.132

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Jul 2026-0.48751.833
Jul 20250.17446.903
Jul 2024-0.48147.486

Table 3: 12-Months Ending Performance

Metric12 months ending Jul 202612 months ending Jun 2026Change
Sharpe0.7510.926-0.175
Ann Return (%)3.0963.780-0.684
Win Rate (%)53.82953.380+0.448
Max DD (%)-3.498-3.498+0.000
Volatility3.9623.929+0.033
Calmar0.8511.040-0.189

Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the YM 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