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Synthetic Fixed-Income Securities 6.375% (STRATS) Cl A-1 (GJH) Stock Chart

NYSE: GJHFinanceFinance: Consumer ServicesUSD

9.37+0.0486 (+0.52%)

Market open · Delayed 15 min · as of Oct 9, 12:29 PM ET

GJH technical summary

GJH is trading 0.4% below its 50-day simple moving average of $9.41 and 2.4% below its 200-day average of $9.60. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 36.9, within the neutral 30 to 70 band.

Over the past year, the stock ranged from $9.00 (Aug 5, 2026) to $9.99 (Dec 3, 2025); the current price sits 37% of the way from the low to the high. Annualized 30-day volatility is 11.1%. Based on the last session's high, low and close, the classic pivot point is $9.32, with first resistance at $9.32 and first support at $9.32.

These indicators describe past price behavior for Synthetic Fixed-Income Securities 6.375% (STRATS) Cl A-1; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
9.99 (Dec 3)
1Y low
9.00 (Aug 5)
Last close
9.37

GJH price performance

1 week

-0.53%

1 month

-1.27%

3 months

-1.89%

6 months

-3.02%

Year to date

-3.92%

1 year

-3.62%

3 years

+13.38%

5 years

-13.62%

GJH price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day9.33Price above9.33Price above
10-day9.38Price below9.36Price above
20-day9.41Price below9.39Price below
50-day9.41Price below9.42Price below
100-day9.47Price below9.48Price below
200-day9.60Price below9.60Price below

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)9.32
Resistance 2 (R2)9.32
Resistance 1 (R1)9.32
Pivot point9.32
Support 1 (S1)9.32
Support 2 (S2)9.32
Support 3 (S3)9.32

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

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