Alpha Report
Russell 2000 | May 2026

Market SectorEquity IndexModelPythia-v0.5.0
Date FromMay 01 2026Date ToMay 31 2026
Published Jun 1, 2026

1. Executive Summary

RTY Macro Review for May 2026

During May 2026, the Russell 2000 benchmark delivered a solid +3.69% return as small-cap equities benefited from growing market expectations of Federal Reserve easing later in the year, with dovish commentary from several Fed officials signaling a potential shift away from the restrictive monetary stance. However, our RTY strategy underperformed significantly with a -1.76% return, as heightened geopolitical tensions in Eastern Europe created episodic risk-off sentiment that disrupted momentum patterns and led to increased intraday volatility that challenged our positioning. The strategy's underperformance was particularly pronounced during the final week of May, when a late-month rally in small-cap value names—driven by rotation flows ahead of month-end rebalancing—moved counter to our factor exposures.

Signal Performance Overview for May 2026

Trailing 12-month Sharpe 1.74 and return 12.48% (through the period in Table 3 below). During the report month, the Russell 2000 benchmark rose approximately 3.69%; the strategy returned -1.76% over the same window. The current period shows a slightly more conservative risk profile with the maximum drawdown deepening modestly to -3.19% from -3.02% in the previous window. Win rate consistency remains strong at 54.77%, though down marginally from the prior period's 55.70%, suggesting stable but slightly less favorable trade execution dynamics.

Signal Coverage — Russell 2000

Asset ClassTrading SymbolName
FuturesRTYRussell 2000 E-mini
FuturesM2KMicro E-mini Russell 2000
ETFIWMiShares Russell 2000 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 1/70 of our starting portfolio for the day (there are 70 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: 2 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
Versionv0.5.0
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Retrained Time Period21Q1 to 24Q4
Final Validation Period25Q1 to 26Q1

4. Performance Metrics

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

MonthReturn (%)Win Rate (%)
2026 YTD3.40552.619
2026 May-1.60544.404
2026 Apr1.25057.057
2026 Mar1.69048.885
2026 Feb3.16763.262
2026 Jan0.17453.486
2025 Dec0.67061.352
2025 Nov0.98551.295
2025 Oct3.16954.731
2025 Sep2.08060.255
2025 Aug1.68458.312
2025 Jul-1.65946.887
2025 Jun1.61262.949

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
May 2026-1.60544.404
May 20250.51455.739
May 20240.94955.671

Table 3: 12-Months Ending Performance

Metric12 months ending May 202612 months ending Apr 2026Change
Sharpe1.7352.098-0.362
Ann Return (%)12.47914.971-2.491
Win Rate (%)54.77355.699-0.926
Max DD (%)-3.191-3.023-0.169
Volatility7.0197.071-0.052
Calmar3.8174.906-1.090

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