Endava (DAVA) Stock Chart
NYSE: DAVATechnologyEDP ServicesUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
DAVA technical summary
DAVA is trading 30.6% below its 50-day simple moving average of $2.75 and 52.8% below its 200-day average of $4.05. 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 33.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.60 (Sep 29, 2026) to $9.88 (Oct 28, 2025); the current price sits 4% of the way from the low to the high. Annualized 30-day volatility is 109.0%. Based on the last session's high, low and close, the classic pivot point is $1.88, with first resistance at $1.94 and first support at $1.85.
These indicators describe past price behavior for Endava; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 33.7
- 50-day SMA
- 2.75
- 200-day SMA
- 4.05
- Volatility (30d, ann.)
- 109.0%
- Beta
- —
- 1Y high
- 9.88 (Oct 28)
- 1Y low
- 1.60 (Sep 29)
- Last close
- 1.91
DAVA price performance
1 week
+6.70%
1 month
-33.68%
3 months
-32.75%
6 months
-56.09%
Year to date
-69.78%
1 year
-78.71%
3 years
-96.66%
5 years
-98.71%
DAVA price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 1.91Price above | 1.89Price above |
| 10-day | 1.82Price above | 1.96Price below |
| 20-day | 2.27Price below | 2.19Price below |
| 50-day | 2.75Price below | 2.58Price below |
| 100-day | 2.86Price below | 3.06Price below |
| 200-day | 4.05Price below | 4.26Price 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) | 2.03 |
| Resistance 2 (R2) | 1.97 |
| Resistance 1 (R1) | 1.94 |
| Pivot point | 1.88 |
| Support 1 (S1) | 1.85 |
| Support 2 (S2) | 1.79 |
| Support 3 (S3) | 1.76 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work