Alpha Report
Silver
Composite Signal
September 2026

Market SectorMetalsModelPythia-v0.12.0SignalComposite
Date FromSep 01 2026Date ToSep 30 2026
Published Oct 15, 2026

1. Executive Summary

SI Macro Review for September 2026

Silver fell even harder than gold in September 2026 (about −13.5% by one month-end count) as rising real yields, the Federal Reserve's 16 September rate hike, a firmer dollar and oil-driven rate expectations hit precious metals; one analysis also pointed to silver's weaker technical position as a key support level came under pressure. The metal remains far below its January peak after a year of extreme swings.

Signal Performance Overview for September 2026

Trailing 12-month Sharpe 1.383 and return 41.606% (Table 3), up from Sharpe 1.254 and return 37.742% for the 12 months ending August.

During the report month the rebased silver series in Figure 1 fell about 7.5%; the strategy lost a modest 0.29% (Sharpe −0.41) with a win rate of 46.18% and a maximum intra-month drawdown of −2.77%. Longs were flat (+0.05 points) and shorts lost 0.34 points, so the strategy avoided most of the selloff but did not profit from it.

Risk Posture: The trailing 12-month maximum drawdown deepened slightly to −12.28% from −11.82%, while the win rate improved about 1.6 percentage points to 51.40%; the trailing return still rose as a weak September a year earlier (−4.2%) rolled out of the window.

Signal Coverage: Silver

Asset ClassTrading SymbolName
FuturesSISilver
FuturesSILMicro Silver
ETFSLViShares Silver Trust

2. Trading Strategy

In order to produce the metrics below we use the signal in combination with the trading strategy below:

  • Entry positions: every 5 minutes between 09:45 and 10:15 ET (7 possible openings per day) we take a long, short or no position. Each position is split into 5 parts, executed on each minute of the 5 minutes after the decision. No sizing adjustment.
  • Exit positions: each decision's position is closed between 13:20 and 13:25 ET, its five parts over the five minutes.
  • Costs: 1.50 bp per side, 3.0 bp round trip (SI). Extra exchange/clearing fees not included.
  • Contract series & roll: Active silver delivery months only (Mar, May, Jul, Sep, Dec). Switch at the open 6 trading days before First Notice (the last business day of the month preceding delivery) and start trading the next active month.

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-v0.12.0: committee of models voting per decision
VersionSILVER_DTC v10
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Trained Time PeriodQ1 2020 to Q4 2025
Final Validation PeriodJan 2026 to Aug 2026

4. Performance Metrics

Table 1: Monthly Return and Win Rate Metrics (Last 12 Months)

MonthReturn (%)Win Rate (%)
2026 YTD34.08049.569
2026 Sep-0.29246.179
2026 Aug-7.17841.887
2026 Jul-4.26850.000
2026 Jun3.55356.860
2026 May-4.69936.610
2026 Apr1.73953.396
2026 Mar-2.98249.206
2026 Feb18.06948.991
2026 Jan30.13861.575
2025 Dec0.01547.174
2025 Nov0.18253.846
2025 Oct7.32979.487

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Sep 2026-0.29246.179
Sep 2025-4.15626.286
Sep 2024-0.81649.375

Table 3: 12-Months Ending Performance

Metric12 months ending Sep 202612 months ending Aug 2026Change
Sharpe1.3831.2540.130
Return (%)41.60637.7423.864
Win Rate (%)51.40449.8521.552
Max DD (%)-12.280-11.824-0.455
Volatility33.80034.256-0.456
Calmar3.2803.0920.189

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q3 2026-3.826-11.73946.316-14.0187.834-2.705
Q2 20260.1370.59348.870-13.56917.7210.174
Q1 20263.42745.22653.481-7.264207.71846.059

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

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