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Repligen (RGEN) Stock Chart

NASDAQ: RGENHealth CareBiotechnology: Biological Products (No Diagnostic Substances)USD

163.84-3.38 (-2.02%)

At close: Oct 8, 4:00 PM ET · Delayed 15 min

After hours: 163.84 0.00%

RGEN technical summary

RGEN is trading 4.8% below its 50-day simple moving average of $172.13 and 13.9% above its 200-day average of $143.80. The 50-day average is above the 200-day average, a configuration technical analysts associate with a longer-term uptrend. The 14-day Relative Strength Index (RSI) is 41.9, within the neutral 30 to 70 band.

Over the past year, the stock ranged from $100.99 (May 14, 2026) to $198.87 (Sep 28, 2026); the current price sits 64% of the way from the low to the high. Annualized 30-day volatility is 51.6%. Based on the last session's high, low and close, the classic pivot point is $169.42, with first resistance at $172.84 and first support at $163.80.

These indicators describe past price behavior for Repligen; they are not predictions.

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

Technical indicators

Beta
—
1Y high
198.87 (Sep 28)
1Y low
100.99 (May 14)
Last close
163.84

RGEN price performance

1 week

-13.01%

1 month

-0.78%

3 months

+21.69%

6 months

+39.62%

Year to date

+2.05%

1 year

+14.59%

3 years

+9.48%

5 years

-37.35%

RGEN price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day178.10Price below177.47Price below
10-day185.17Price below180.65Price below
20-day180.22Price below179.95Price below
50-day172.13Price below171.08Price below
100-day151.80Price above159.49Price above
200-day143.80Price above153.11Price above

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)181.88
Resistance 2 (R2)178.46
Resistance 1 (R1)172.84
Pivot point169.42
Support 1 (S1)163.80
Support 2 (S2)160.37
Support 3 (S3)154.75

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

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