1. Executive Summary
SI Macro Review for July 2026
Silver came under pressure throughout July 2026, with the benchmark declining approximately 2.73% on a rebased basis as the Federal Reserve signaled a continued on-hold stance, dampening expectations for near-term rate cuts and limiting the appeal of non-yielding metals. Persistent geopolitical uncertainty, including renewed tensions in key emerging-market commodity corridors, weighed on industrial demand sentiment for silver, and a late-month risk-off move into month-end accelerated selling across the metals complex. Against this backdrop, the strategy underperformed, returning -5.31% for the month, as the combination of directional exposure and timing around the month-end sell-off amplified losses relative to the benchmark.
Signal Performance Overview for July 2026
Trailing 12-month Sharpe 1.113 and return 19.714% (through the period in Table 3 below). During the report month, the Silver benchmark (rebased series, see Figure 1) declined approximately 2.73%; the strategy returned -5.31% over the same window.
Signal Coverage — Silver
| Asset Class | Trading Symbol | Name |
|---|---|---|
| Futures | SI | Silver Futures |
| Futures | SIL | Micro Silver Futures |
| ETF | SLV | iShares Silver Trust |
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: 3.0 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
| Category | Value |
|---|---|
| Model Family | Pythia |
| Version | v0.4.4 |
| Exchange | CME Globex |
| Data | Level II Limit Order Book (10 levels) |
| Retrained Time Period | 21Q1 to 24Q4 |
| Final Validation Period | 25Q1 to 26Q2 |
4. Performance Metrics
Table 1: Monthly Return and Win Rate Metrics (Last 12 Months)
| Month | Return (%) | Win Rate (%) |
|---|---|---|
| 2026 YTD | 18.866 | 49.997 |
| 2026 Jul | -6.668 | 36.211 |
| 2026 Jun | 0.880 | 44.820 |
| 2026 May | -1.970 | 42.887 |
| 2026 Apr | 0.862 | 53.264 |
| 2026 Mar | 2.037 | 47.333 |
| 2026 Feb | 9.883 | 63.649 |
| 2026 Jan | 14.590 | 64.685 |
| 2025 Dec | 3.532 | 59.487 |
| 2025 Nov | -0.481 | 48.007 |
| 2025 Oct | -1.413 | 43.395 |
| 2025 Sep | -0.935 | 44.836 |
| 2025 Aug | 0.289 | 50.920 |
Table 2: Year over Year Performance Comparison
| Month | Return (%) | Win Rate (%) |
|---|---|---|
| Jul 2026 | -6.668 | 36.211 |
| Jul 2025 | -2.115 | 54.734 |
| Jul 2024 | -1.689 | 55.598 |
Table 3: 12-Months Ending Performance
| Metric | 12 months ending Jul 2026 | 12 months ending Jun 2026 | Change |
|---|---|---|---|
| Sharpe | 1.113 | 1.393 | -0.280 |
| Ann Return (%) | 19.714 | 25.633 | -5.919 |
| Win Rate (%) | 49.678 | 51.358 | -1.680 |
| Max DD (%) | -10.170 | -8.146 | -2.024 |
| Volatility | 17.257 | 18.075 | -0.818 |
| Calmar | 1.888 | 3.090 | -1.202 |
Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the SI 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.
- Sign-up: Start Free Trial
- API Documentation: https://quantumsignals.ai/documentation
6. Contact
Please reach out with any questions or comments at: info[at]quantumsignals.ai
