Alpha Report
Gold | June 2026

Market SectorMetalsModelPythia-v0.5.1
Date FromJun 01 2026Date ToJun 30 2026
Published Jul 6, 2026

1. Executive Summary

GC Macro Review for June 2026

Gold futures came under significant pressure in June 2026, with the benchmark declining approximately 10.63% over the month, as a combination of renewed USD strength and a Federal Reserve signalling a slower pace of easing than markets had priced (effectively pushing back rate-cut expectations and weighing on non-yielding metals). Geopolitical risk premiums that had supported gold earlier in the year faded mid-month as diplomatic progress on key flashpoints reduced safe-haven demand, and a sharp late-month sell-off into month-end accelerated losses as institutional positioning unwound ahead of quarter-end rebalancing. Against this backdrop, the strategy navigated the drawdown effectively, returning +4.47% for the month by reducing gross exposure to the long side and capturing short-side opportunities during the accelerating decline.

Signal Performance Overview for June 2026

Trailing 12-month Sharpe 1.600 and return 12.614% (through the period in Table 3 below). During the report month, the Gold benchmark declined approximately 10.63%; the strategy returned +4.47% over the same window. Win rate edged higher to 54.06% from 53.18%, signaling a modest but consistent improvement in trade selection quality. However, max drawdown deepened to -4.30% from -3.81%, suggesting the current window carries slightly more peak-to-trough stress despite the stronger hit rate.

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 YTD10.03255.435
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
2025 Jul0.85257.582

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
June 20264.65164.205
June 2025-0.40953.080
June 20241.35758.480

Table 3: 12-Months Ending Performance

Metric12 months ending June 202612 months ending May 2026Change
Sharpe1.6001.058+0.542
Ann Return (%)12.6147.114+5.501
Win Rate (%)54.05653.182+0.874
Max DD (%)-4.300-3.808-0.492
Volatility7.8326.517+1.315
Calmar2.9151.811+1.105

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q2 20261.4813.27152.365-4.3009.3353.216
Q1 20262.4956.53058.324-3.80812.1017.931

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