ZoomInfo Technologies (GTM) Stock Chart
NASDAQ: GTMTechnologySoftware - ApplicationUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
GTM technical summary
GTM is trading 4.8% below its 50-day simple moving average of $3.88 and 30.3% below its 200-day average of $5.30. 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 45.2, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $2.54 (Jun 22, 2026) to $12.31 (Nov 4, 2025); the current price sits 12% of the way from the low to the high. Annualized 30-day volatility is 55.3%. Based on the last session's high, low and close, the classic pivot point is $3.66, with first resistance at $3.74 and first support at $3.62.
These indicators describe past price behavior for ZoomInfo Technologies; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 45.2
- 50-day SMA
- 3.88
- 200-day SMA
- 5.30
- Beta
- —
- 1Y high
- 12.31 (Nov 4)
- 1Y low
- 2.54 (Jun 22)
- Last close
- 3.70
GTM price performance
1 week
-2.51%
1 month
-5.26%
3 months
+26.54%
6 months
-34.37%
Year to date
-63.67%
1 year
-64.81%
3 years
-78.07%
5 years
-94.51%
GTM price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 3.73Price below | 3.71Price below |
| 10-day | 3.73Price below | 3.75Price below |
| 20-day | 3.85Price below | 3.81Price below |
| 50-day | 3.88Price below | 3.81Price below |
| 100-day | 3.48Price above | 4.12Price below |
| 200-day | 5.30Price below | 5.71Price below |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 3.87 |
| Resistance 2 (R2) | 3.79 |
| Resistance 1 (R1) | 3.74 |
| Pivot point | 3.66 |
| Support 1 (S1) | 3.62 |
| Support 2 (S2) | 3.54 |
| Support 3 (S3) | 3.49 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work