Morning Activity factor

A 20-day average of each stock's morning (9:30 to 12:00) trading intensity compared with its afternoon, scaled by average daily volume; morning-heavy trading is typical of retail flow. Part of FactorPulse's FPUS1 model (Style).

The exposure shown is this measure standardized across stocks and taken net of the market and of International, Beta, Size, Long-Term Momentum, Residual Volatility, Liquidity, Growth, Value, Leverage, Profitability, Dividend Yield, Short Interest, Hedge-Fund Ownership, Medium-Term Momentum, Short-Term Momentum, One-Day Momentum and Short-Sale Activity (position 18 of 18 style factors).

Oct 28, 2026
-0.05%
vs. 1-year daily volatility
z = -0.4
1M
-0.53%
3M
+0.67%
YTD
-1.15%
1Y
-0.87%

Last 12 months

simulated-3.0%-2.0%-1.0%0.0%1.0%Oct 25Dec 25Feb 26Apr 26Jun 26Aug 26Oct 26
Cumulative return (sum of daily returns) of the Morning Activity factor portfolio, through Oct 28, 2026.

Full history

simulated history-5%0%5%10%15%20%2020202120222023202420252026
Since Jan 02, 2020. The shaded period is simulated history.

History before Jul 15, 2026 is simulated: it was regenerated on that date with the methodology adopted then, not recorded live, and charts shade that period. Later changes apply from their dates forward; see the revision log. Point-in-time risk forecasts begin Jul 30, 2026.

Statistics

PeriodReturnVolatility (ann.)Return / riskMax drawdown
1M-0.53%1.6%-3.93-0.66%
3M+0.67%2.5%+1.10-1.50%
YTD-1.15%2.4%-0.58-3.05%
1Y-0.87%2.3%-0.38-3.05%
Since Jul 2026 (live)+1.05%2.5%+1.42-1.50%
Since 2020 (incl. simulated)+15.65%2.1%+1.08-3.05%

Returns are summed daily long/short factor returns before costs. Volatility and return/risk are annualized from daily data. Each factor is measured net of other factors (see above), so its return can differ from familiar indexes built on the same idea. Section 9 of the methodology (Empirical Factor Behavior) discusses each factor's realized return.

Large companies most and least exposed today

Among the 500 largest US-listed companies (market cap above $26B). Exposure is in standard deviations across about 2,000 stocks, net of the factors ranked ahead of it. When the factor return is positive, retail-heavy names outperform; when it is negative, retail-heavy names underperform.

Highest exposure

  1. Deutsche Bank Aktiengesellschaft DB +3.12 · $62B
  2. ArcelorMittal MT +2.89 · $45B
  3. Haleon plc HLN +2.70 · $44B
  4. Ferrovial N.V. FER +2.70 · $39B
  5. Relx Plc RELX +2.62 · $67B
  6. CenterPoint Energy, Inc. CNP +2.44 · $28B
  7. Lloyds Banking Group PLC LYG +2.34 · $79B
  8. Barclays PLC BCS +2.24 · $76B
  9. Vodafone Group PLC VOD +2.21 · $36B
  10. NatWest Group plc NWG +2.20 · $68B

Lowest exposure

  1. Canadian Imperial Bank of Commerce CM -3.91 · $107B
  2. Toronto Dominion Bank TD -3.76 · $207B
  3. TC Energy Corporation TRP -3.19 · $66B
  4. Bank of Nova Scotia BNS -2.99 · $115B
  5. AutoZone, Inc. AZO -2.69 · $51B
  6. Sun Life Financial Inc. SLF -2.57 · $45B
  7. Roblox Corporation RBLX -2.34 · $38B
  8. Royal Bank of Canada RY -2.20 · $283B
  9. Sysco Corporation SYY -2.20 · $40B
  10. Twilio Inc. TWLO -2.19 · $39B

What it moves with

Most positively correlated factors (1 year)

  1. Gold +0.45
  2. International +0.29
  3. Residual Volatility +0.25

Most negatively correlated factors

  1. Profitability -0.14
  2. Leverage -0.11
  3. Value -0.11

Correlation with ETFs

ETF1 year3 months
SPY S&P 500+0.13+0.03
IWM Small caps+0.14+0.11
TLT Long Treasuries+0.05+0.20
USO Oil+0.10+0.16
SMH Semiconductors+0.07-0.16
GLD Gold+0.35+0.38
XLU Utilities+0.05-0.06
BITO Bitcoin futures+0.12+0.16
KWEB China internet+0.27+0.18

← All FPUS1 factors