Alpha Report
S&P 500 | March 2026

Market SectorEquity IndexModelPythia-v0.3.0
Date FromMar 01 2026Date ToMar 31 2026
Published Apr 6, 2026

1. Executive Summary

ES Macro Review for March 2026

The S&P 500 faced mixed conditions in March as markets balanced ongoing Federal Reserve policy normalization against resilient corporate earnings growth, with technology and healthcare sectors showing particular strength amid continued AI infrastructure investment. Volatility remained elevated around key economic data releases, particularly employment figures and inflation readings, creating both intraday trading opportunities and increased risk management requirements. Quarter-end rebalancing flows and options expiration events provided additional liquidity dynamics that favored momentum-based strategies while requiring careful position sizing around these technical levels.

Signal Performance Overview for March 2026

The ES strategy delivered solid performance in March 2026 with a 12-month Sharpe ratio of 1.41 and returns of 12.61%, while maintaining excellent risk control with maximum drawdown limited to just -4.37%. However, performance has declined from the previous period, with both Sharpe ratio dropping from 1.84 to 1.41 and returns decreasing from 15.24% to 12.61%, suggesting some deterioration in risk-adjusted returns. The 55.38% win rate indicates consistent but modest edge, and the low maximum drawdown remains a key strength of the strategy.

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 1/70 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: 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
Versionv0.3.0
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 YTD1.58856.457
2026 Mar-0.37950.875
2026 Feb-0.54847.124
2026 Jan2.51370.539
2025 Dec0.62957.796
2025 Nov0.35549.794
2025 Oct0.70252.089
2025 Sep1.52762.937
2025 Aug1.29860.865
2025 Jul0.92856.907
2025 Jun-0.81944.653
2025 May0.95656.172
2025 Apr4.94452.973

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Mar 2026-0.37950.875
Mar 20251.64857.807
Mar 20241.01957.595

Table 3: 12-Months Ending Performance

Metric12 months ending Mar 202612 months ending Feb 2026Change
Sharpe1.4061.841-0.435
Ann Return (%)12.61015.245-2.635
Win Rate (%)55.38255.967-0.585
Max DD (%)-4.373-4.374+0.001
Volatility8.6298.913-0.284
Calmar2.7753.753-0.978

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q1 20261.2481.58856.457-2.5475.0592.478
Q4 20252.6502.07653.896-1.4123.9267.366
Q3 20254.8184.45460.061-1.1353.15213.378
Q2 20251.5876.56355.739-4.37419.7227.156

Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the ES price (100 = Mar 02, 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