Alpha Report
Dow Jones | March 2026

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

1. Executive Summary

YM Macro Review for March 2026

The Dow Jones Industrial Average faced headwinds in March 2026 as investors grappled with mixed Q1 earnings reports and ongoing concerns about Federal Reserve monetary policy direction amid persistent inflation pressures. Large-cap value stocks within the index showed particular sensitivity to interest rate expectations, creating increased intraday volatility that presented both breakout and reversal trading opportunities around key technical levels. Trading volumes remained elevated as institutional investors continued sector rotation strategies, with particular focus on the index’s technology and financial components responding to evolving economic data releases.

Signal Performance Overview for March 2026

The YM strategy demonstrates solid risk-adjusted performance with a 12-month Sharpe ratio of 1.60 and annual returns of 12.36%, though both metrics have declined from the previous period’s stronger performance (Sharpe: 2.02, Return: 14.77%). The strategy maintains excellent risk control with maximum drawdown limited to just -3.65% and a modest positive edge reflected in the 54.17% win rate. The primary concern is the notable deterioration in both absolute returns and risk-adjusted performance compared to the previous 12-month period, suggesting potential strategy degradation or challenging market conditions.

Signal Coverage — Dow Jones

Asset ClassTrading SymbolName
FuturesYMDow Jones E-mini
FuturesMYMMicro E-mini Dow Jones
ETFDIASPDR Dow Jones Industrial Average 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: 1.5 bp round-turn assumption (YM: 1.5 bp ~ 2 ticks = $5). 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 YTD-0.96051.871
2026 Mar-0.98548.779
2026 Feb-0.69649.758
2026 Jan0.71456.434
2025 Dec0.76153.187
2025 Nov1.11650.191
2025 Oct1.51060.087
2025 Sep0.79662.173
2025 Aug0.21253.132
2025 Jul0.17446.903
2025 Jun0.10055.688
2025 May0.83558.398
2025 Apr7.79352.574

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Mar 2026-0.98548.779
Mar 20250.93558.711
Mar 2024-0.03841.694

Table 3: 12-Months Ending Performance

Metric12 months ending Mar 202612 months ending Feb 2026Change
Sharpe1.6022.023-0.454
Ann Return (%)12.35814.769-2.736
Win Rate (%)54.16655.007-0.890
Max DD (%)-3.652-3.6520.000
Volatility7.4857.784-0.306
Calmar3.2854.311-1.100

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q1 2026-1.382-0.96051.871-2.9263.487-1.647
Q4 20252.97414.40454.559-1.1774.84312.239
Q3 20251.4444.29254.167-1.1232.9723.822
Q2 20252.28637.89155.700-3.65116.57510.378

Figure 1: Cumulative equity curve showing the trading strategy net long/short performance compared with the YM price (100 = first day of March)

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