Kaltura (KLTR) Stock Chart
NASDAQ: KLTRTechnologyComputer Software: Prepackaged SoftwareUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
KLTR technical summary
KLTR is trading 10.2% below its 50-day simple moving average of $1.48 and 6.3% below its 200-day average of $1.42. 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 42.9, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.06 (Apr 9, 2026) to $2.05 (Aug 5, 2026); the current price sits 28% of the way from the low to the high. Annualized 30-day volatility is 32.0%. Based on the last session's high, low and close, the classic pivot point is $1.30, with first resistance at $1.36 and first support at $1.27.
These indicators describe past price behavior for Kaltura; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 42.9
- 50-day SMA
- 1.48
- 200-day SMA
- 1.42
- Beta
- —
- 1Y high
- 2.05 (Aug 5)
- 1Y low
- 1.06 (Apr 9)
- Last close
- 1.33
KLTR price performance
1 week
+3.91%
1 month
-10.14%
3 months
+6.40%
6 months
+18.75%
Year to date
-18.90%
1 year
-10.14%
3 years
-15.29%
5 years
-86.83%
KLTR price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.30Price above | 1.31Price above |
| 10-day | 1.31Price above | 1.32Price above |
| 20-day | 1.35Price below | 1.36Price below |
| 50-day | 1.48Price below | 1.41Price below |
| 100-day | 1.44Price below | 1.43Price below |
| 200-day | 1.42Price below | 1.45Price 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) | 1.45 |
| Resistance 2 (R2) | 1.39 |
| Resistance 1 (R1) | 1.36 |
| Pivot point | 1.30 |
| Support 1 (S1) | 1.27 |
| Support 2 (S2) | 1.21 |
| Support 3 (S3) | 1.18 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work