LiveRamp (RAMP) Stock Chart
NYSE: RAMPTechnologyEDP ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
RAMP technical summary
RAMP is trading 0.3% below its 50-day simple moving average of $37.71 and 16.1% above its 200-day average of $32.41. 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 48.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $21.71 (Feb 4, 2026) to $38.23 (Jul 14, 2026); the current price sits 96% of the way from the low to the high. Annualized 30-day volatility is 4.1%. Based on the last session's high, low and close, the classic pivot point is $37.65, with first resistance at $37.71 and first support at $37.56.
These indicators describe past price behavior for LiveRamp; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 48.1
- 50-day SMA
- 37.71
- 200-day SMA
- 32.41
- Beta
- —
- 1Y high
- 38.23 (Jul 14)
- 1Y low
- 21.71 (Feb 4)
- Last close
- 37.61
RAMP price performance
1 week
+0.24%
1 month
-0.34%
3 months
0.00%
6 months
+41.87%
Year to date
+28.06%
1 year
+38.22%
3 years
+31.83%
5 years
-29.92%
RAMP price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 37.66Price below | 37.64Price below |
| 10-day | 37.61Price above | 37.63Price below |
| 20-day | 37.64Price below | 37.64Price below |
| 50-day | 37.71Price below | 37.50Price above |
| 100-day | 37.60Price above | 36.36Price above |
| 200-day | 32.41Price above | 33.15Price above |
Moving averages are computed from daily closing prices over the past year. What is a moving average?
Pivot points
| Level | Price |
|---|---|
| Resistance 3 (R3) | 37.86 |
| Resistance 2 (R2) | 37.80 |
| Resistance 1 (R1) | 37.71 |
| Pivot point | 37.65 |
| Support 1 (S1) | 37.56 |
| Support 2 (S2) | 37.50 |
| Support 3 (S3) | 37.41 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work