Alpha Report
Nasdaq-100
Composite Signal
September 2026

Market SectorEquity IndexModelPythia-v0.12.0SignalComposite
Date FromSep 01 2026Date ToSep 30 2026
Published Oct 15, 2026

1. Executive Summary

NQ Macro Review for September 2026

Technology was the one bright spot of a rate-driven September: the Nasdaq-100 gained about 3.3% as large-cap growth names in Technology and Communications rallied on AI demand, even as the Federal Reserve raised rates to 3.75–4.00% on 16 September and the 10-year Treasury yield rose above 5.2%. The gains were narrow and volatile, the Nasdaq fell sharply on 23 September when the 5-year Treasury yield reached 5% for the first time since 2007, with a handful of mega-caps carrying the index while most stocks declined.

Signal Performance Overview for September 2026

Trailing 12-month Sharpe 1.443 and return 5.624% (Table 3), up from Sharpe 1.181 and return 4.605% for the 12 months ending August.

During the report month the rebased Nasdaq-100 futures series in Figure 1 rose about 5.5%; the strategy returned +0.54% with a Sharpe of 2.29 and a win rate of 53.10%, and a maximum intra-month drawdown of −0.53%. Both sides were profitable (long +0.21 points, short +0.33 points): the strategy earned steady, low-risk gains but captured only a small part of the index's rise.

Risk Posture: The trailing 12-month maximum drawdown was essentially unchanged (−2.85% vs −2.86%), and the win rate rose about 1.0 percentage point to 50.77%, a modest improvement in both return and consistency over the prior window.

Signal Coverage: Nasdaq-100

Asset ClassTrading SymbolName
FuturesNQE-mini Nasdaq-100
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:

  • Entry positions: every 5 minutes between 09:45 and 15:25 ET (69 possible openings per day) we take a long, short or no position. Each position is split into 5 parts, executed on each minute of the 5 minutes after the decision. No sizing adjustment.
  • Exit positions: each decision's position is closed between 15:55 and 16:00 ET, its five parts over the five minutes.
  • Costs: 0.50 bp per side, 1.0 bp round trip (NQ). Extra exchange/clearing fees not included.
  • Contract series & roll: Front month quarterly contract (Mar, Jun, Sep, Dec). Switch at the open 5 trading days before expiration (the third Friday of the contract month): 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-v0.12.0: committee of models voting per decision
VersionNASDAQ100_DTC v17
ExchangeCME Globex
DataLevel II Limit Order Book (10 levels)
Trained Time PeriodQ1 2020 to Q4 2025
Final Validation PeriodJan 2026 to Aug 2026

4. Performance Metrics

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

MonthReturn (%)Win Rate (%)
2026 YTD6.06653.024
2026 Sep0.53653.098
2026 Aug0.20752.087
2026 Jul0.20946.520
2026 Jun3.74664.659
2026 May0.02049.220
2026 Apr0.28955.236
2026 Mar0.72746.323
2026 Feb-0.15544.098
2026 Jan0.48752.254
2025 Dec0.04647.232
2025 Nov0.21644.279
2025 Oct-0.70444.252

Table 2: Year over Year Performance Comparison

MonthReturn (%)Win Rate (%)
Sep 20260.53653.098
Sep 2025-0.48341.434
Sep 20240.07732.772

Table 3: 12-Months Ending Performance

Metric12 months ending Sep 202612 months ending Aug 2026Change
Sharpe1.4431.1810.262
Return (%)5.6244.6051.019
Win Rate (%)50.76949.7451.024
Max DD (%)-2.847-2.8610.013
Volatility3.9473.9370.010
Calmar1.9201.5650.355

Table 4: Quarterly Performance

QuarterSharpeReturn (%)Win Rate (%)Max DD (%)VolatilityCalmar
Q3 20261.1670.95250.813-2.6393.2381.396
Q2 20263.3394.05557.526-1.9065.5068.887
Q1 20260.9591.05948.604-2.0854.5402.031

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

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