Alpha Report
Gold | July 2026

Market SectorMetalsModelPythia-v0.5.1
Date FromJul 01 2026Date ToJul 31 2026
Published Aug 4, 2026

1. Executive Summary

GC Macro Review for July 2026

Gold edged marginally lower in July 2026, with the benchmark declining approximately 0.10% on a rebased basis as the Federal Reserve held rates steady but signaled a cautious, data-dependent path toward eventual easing, a posture that tempered safe-haven demand without fully removing it. Geopolitical tensions in the Middle East and renewed uncertainty around U.S.-China trade relations provided intermittent support to the metal mid-month, though a late-month risk-on rotation, driven by stronger-than-expected U.S. economic data, weighed on gold into month-end and capped any meaningful recovery. Against this backdrop, the strategy returned -0.16%, modestly underperforming the benchmark by approximately 6 basis points, reflecting positioning that was unable to fully offset the late-month softness in price action.

Signal Performance Overview for July 2026

Trailing 12-month Sharpe 1.477 and return 12.100% (through the period in Table 3 below). During the report month, the Gold benchmark (rebased series, see Figure 1) declined approximately 0.10%; the strategy returned -0.16% over the same window. Drawdown held steady at -4.30% across both windows, signaling consistent capital preservation, while the win rate edged marginally lower from 54.06% to 53.71%, a negligible drift that leaves the strategy's directional accuracy essentially unchanged. Overall, the current period feels broadly stable relative to the prior window, with no meaningful deterioration in either loss containment or trade-level consistency.

Signal Coverage — Gold

Asset ClassTrading SymbolName
FuturesGCGold Futures
FuturesMGCMicro Gold Futures
ETFGLDSPDR Gold Shares

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
Versionv0.5.1
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 YTD10.55255.084
2026 Jul0.47452.760
2026 Jun4.65164.205
2026 May-2.36239.109
2026 Apr1.13755.014
2026 Mar3.10857.767
2026 Feb0.43461.436
2026 Jan2.90756.117
2025 Dec-0.92548.017
2025 Nov-0.24246.649
2025 Oct3.03966.275
2025 Sep-0.29744.230
2025 Aug-0.08452.461

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Jul 20260.47452.760
Jul 20250.85257.582
Jul 20241.28061.393

Table 3: 12-Months Ending Performance

Metric12 months ending Jul 202612 months ending Jun 2026Change
Sharpe1.4771.600-0.123
Ann Return (%)12.10012.614-0.514
Win Rate (%)53.71054.056-0.346
Max DD (%)-4.300-4.3000.000
Volatility7.8617.832+0.029
Calmar2.7012.915-0.215

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