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US small companies (Russell 2000): 200-day moving average

Closing prices of 11/06/2026. Funds stand in for markets: their price moves with the market, so the position against the average is the same.

Now

Close 11/06/2026273.67
200-day average279.00
50-day average282.11
Distance from 200-day−1.9 %
On this side sincebelow · 11/05/2026
50-day vs 200-daygolden cross
From the 1-year high−10.3 %
From the high since 2019−10.3 %
Change over 1 year+13.9 %
RSI (14 days)43

Price and moving averages, last two years

168.31204.13239.96275.78311.602024-11-042025-11-062026-11-06
Price (IWM fund)50-day200-day

Golden and death crosses since 2019

A golden cross is the day the 50-day average rises above the 200-day one; a death cross is the opposite. What the price did over the next three and six months:

DateCrossNext 3 monthsNext 6 months
08/06/2025golden cross+9.4 %+16.0 %
03/20/2025death cross+2.0 %+18.5 %
01/02/2024golden cross+3.2 %+1.2 %
10/13/2023death cross+12.1 %+14.6 %
07/11/2023golden cross−8.3 %+2.7 %
04/21/2023death cross+9.8 %−6.3 %
01/27/2023golden cross−7.6 %+4.8 %
01/19/2022death cross−1.0 %−10.8 %
08/14/2020golden cross+8.2 %+43.8 %
03/19/2020death cross+36.4 %+48.0 %
11/11/2019golden cross+5.9 %−22.7 %

The trend rule over the long history

Monthly data with dividends from 1927-05: hold the market while its month-end level is above the average of the last 10 months (the monthly version of the 200-day rule, as in Mebane Faber's 2007 study), otherwise hold cash. No costs or taxes. (1927-05 – 2026-09)

Months above the average70 %
Next month after “above”, per year+13.8 %
Next month after “below”, per year+8.2 %
Switches per year1.7
Trend rule, per year+10.6 %
Buy and hold, per year+12.1 %
Trend rule, worst drop−58.4 %
Buy and hold, worst drop−87.7 %

What the 200-day moving average is

The 200-day moving average is the average closing price of the last 200 trading days, about ten months. Many investors read a price above it as a rising market and a price below it as a falling one.

It does not predict: it only shows where the price has been. A rule built on it usually cuts the deepest losses but pays for that with many false switches when the market moves sideways.

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This is market data, not a recommendation to buy or sell. Past behaviour does not predict future prices.