Alpha Report
Russell 2000 | April 2026

Market SectorEquity IndexModelPythia-v0.3.0
Date FromApr 01 2026Date ToApr 30 2026
Published May 6, 2026

1. Executive Summary

RTY Macro Review for April 2026

During April 2026, the Russell 2000 benchmark delivered strong gains of +11.11% as small-cap equities benefited from continued Federal Reserve easing momentum and diminishing geopolitical tensions following the resolution of trade disputes in Southeast Asia. The Fed's dovish pivot accelerated mid-month with signals of additional rate cuts ahead, driving risk-on sentiment that particularly favored domestically-focused smaller companies over their large-cap counterparts. However, our strategy captured only +0.66% of this rally, underperforming significantly as defensive positioning and sector rotation hedges limited participation in the broad-based small-cap surge that intensified into month-end.

Signal Performance Overview for April 2026

Trailing 12-month Sharpe 2.28 and return 16.34% (through the period in Table 3 below). During the report month, the Russell 2000 benchmark rose approximately 11.11%; the strategy returned +0.66% over the same window. The risk profile remains highly controlled with maximum drawdown holding steady at the previous period's level, while the win rate experienced a modest decline of 36 basis points to 55.84%. Overall risk posture appears consistent with the prior window, maintaining tight drawdown discipline despite the slight deterioration in trade success frequency.

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
Versionv0.3.0
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Retrained Time Period24Q3 to 25Q3
Final Validation Period25Q4

4. Performance Metrics

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

MonthReturn (%)Win Rate (%)
2026 YTD6.36155.220
2026 Apr1.18855.233
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
2025 May0.51455.739

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Apr 20261.18855.233
Apr 20254.57260.056
Apr 2024-0.76751.940

Table 3: 12-Months Ending Performance

Metric12 months ending Apr 202612 months ending Mar 2026Change
Sharpe2.2752.594-0.319
Ann Return (%)16.34420.133-3.788
Win Rate (%)55.84256.203-0.361
Max DD (%)-3.023-3.0230.000
Volatility7.1157.630-0.515
Calmar5.3556.547-1.192

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