Alpha Report
S&P 500 | June 2026

Market SectorEquity IndexModelPythia-v0.4.4
Date FromJun 01 2026Date ToJun 30 2026
Published Jul 2, 2026

1. Executive Summary

ES Macro Review for June 2026

The S&P 500 benchmark (rebased series) declined approximately 0.82% in June 2026, as equity markets navigated a cautious Federal Reserve stance (with the Fed holding rates steady at its June meeting while signaling a slower-than-expected path toward easing) alongside lingering geopolitical uncertainty in the Middle East that periodically weighed on risk sentiment throughout the month. A late-month sell-off into quarter-end, driven by portfolio rebalancing flows and renewed concerns over softer-than-expected economic data, amplified downside pressure in the final sessions. Against this backdrop, the strategy returned -3.36%, underperforming the benchmark by approximately 254 basis points, reflecting the strategy's heightened sensitivity to the choppy, low-conviction price action that characterized much of the month.

Signal Performance Overview for June 2026

Trailing 12-month Sharpe 0.610 and return 2.586% (through the period in Table 3 below). During the report month, the S&P 500 benchmark declined approximately 0.82%; the strategy returned -3.36% over the same window. The current 12-month window shows a modest deterioration in drawdown depth, with max drawdown widening to -7.11% from -3.97% in the prior period, suggesting the strategy encountered more sustained adverse moves. Win rate held relatively stable at 52.99% versus 53.35% previously, indicating directional accuracy remained consistent even as the magnitude of losing sequences increased.

Signal Coverage — S&P 500

Asset ClassTrading SymbolName
FuturesESE-mini S&P 500
FuturesMESMicro E-mini S&P 500
ETFSPYSPDR S&P 500 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 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-2.63050.025
2026 Jun-3.28541.333
2026 May0.15448.416
2026 Apr-1.00240.946
2026 Mar-0.37950.875
2026 Feb-0.54847.124
2026 Jan2.51370.539
2025 Dec0.58056.876
2025 Nov0.26147.283
2025 Oct0.70252.089
2025 Sep1.52762.937
2025 Aug1.29860.865
2025 Jul0.89455.729

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
June 2026-3.28541.333
June 2025-0.81944.653
June 20242.63774.450

Table 3: 12-Months Ending Performance

Metric12 months ending June 202612 months ending May 2026Change
Sharpe0.6101.206-0.596
Ann Return (%)2.5865.135-2.549
Win Rate (%)52.98653.349-0.362
Max DD (%)-7.114-3.972-3.142
Volatility4.1133.929+0.183
Calmar0.3531.193-0.840

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q2 2026-3.703-4.11443.770-5.0763.960-2.889
Q1 20261.2481.58856.458-2.5475.0592.479

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