Alpha Report
Nasdaq-100 | March 2026

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

1. Executive Summary

NQ Macro Review for March 2026

The Nasdaq-100 faced continued pressure in March as technology valuations remained under scrutiny amid persistent elevated interest rates and ongoing AI sector consolidation. Growth stocks experienced heightened volatility as investors rotated toward value sectors, creating challenging trading conditions with increased intraday ranges and reduced momentum consistency. The index’s sensitivity to rate expectations and earnings revisions suggests maintaining tighter risk management protocols and focusing on shorter-term technical setups rather than extended trend-following strategies.

Signal Performance Overview for March 2026

The NQ strategy demonstrates strong risk-adjusted performance with a 12-month Sharpe ratio of 2.22 and solid returns of 20.34%, while maintaining excellent risk control with maximum drawdown limited to just -3.83%. However, there is a notable decline from the previous period, with both Sharpe ratio dropping from 2.52 to 2.22 and returns decreasing from 21.47% to 20.34%, suggesting some deterioration in strategy effectiveness. The modest 54.37% win rate indicates the strategy relies on asymmetric risk/reward rather than high hit rates, which combined with the low drawdown demonstrates disciplined risk management.

Signal Coverage — Nasdaq-100

Asset ClassTrading SymbolName
FuturesNQNasdaq 100 E-mini
FuturesMNQMicro E-mini Nasdaq 100
ETFQQQInvesco QQQ Trust

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 YTD1.34953.297
2026 Mar0.45850.400
2026 Feb-0.72549.038
2026 Jan1.60059.569
2025 Dec0.44456.146
2025 Nov1.04048.970
2025 Oct0.69549.452
2025 Sep2.69872.733
2025 Aug0.78956.575
2025 Jul0.77053.983
2025 Jun0.61748.194
2025 May0.24148.117
2025 Apr10.60556.335

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Mar 20260.45850.400
Mar 20250.88751.389
Mar 20240.90347.252

Table 3: 12-Months Ending Performance

Metric12 months ending Mar 202612 months ending Feb 2026Change
Sharpe2.2202.517-0.297
Ann Return (%)20.33821.474-1.136
Win Rate (%)54.37054.455-0.085
Max DD (%)-3.834-3.8340.000
Volatility8.7909.154-0.364
Calmar5.0916.010-0.919

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q1 20260.9731.34953.297-3.0235.4741.763
Q4 20252.5042.51051.687-1.0024.93712.332
Q3 20254.8954.45461.682-0.9793.71112.697
Q2 20252.53310.95750.550-3.83419.2184.002

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