Mastech Digital (MHH) Stock Chart
NYSE: MHHConsumer DiscretionaryProfessional ServicesUSD
At close: Oct 7, 3:59 PM ET · Delayed 15 min
MHH technical summary
MHH is trading 9.4% below its 50-day simple moving average of $7.47 and 3.3% below its 200-day average of $7.00. 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 37.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $5.50 (Mar 20, 2026) to $8.37 (Nov 28, 2025); the current price sits 44% of the way from the low to the high. Annualized 30-day volatility is 33.9%. Based on the last session's high, low and close, the classic pivot point is $6.84, with first resistance at $6.94 and first support at $6.67.
These indicators describe past price behavior for Mastech Digital; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 37.1
- 50-day SMA
- 7.47
- 200-day SMA
- 7.00
- Beta
- —
- 1Y high
- 8.37 (Nov 28)
- 1Y low
- 5.50 (Mar 20)
- Last close
- 6.77
MHH price performance
1 week
-3.29%
1 month
-8.51%
3 months
-12.65%
6 months
+10.62%
Year to date
-3.01%
1 year
-8.39%
3 years
-24.69%
5 years
-61.14%
MHH price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 6.99Price below | 6.94Price below |
| 10-day | 7.10Price below | 7.05Price below |
| 20-day | 7.22Price below | 7.18Price below |
| 50-day | 7.47Price below | 7.33Price below |
| 100-day | 7.36Price below | 7.30Price below |
| 200-day | 7.00Price below | 7.13Price 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) | 7.20 |
| Resistance 2 (R2) | 7.10 |
| Resistance 1 (R1) | 6.94 |
| Pivot point | 6.84 |
| Support 1 (S1) | 6.67 |
| Support 2 (S2) | 6.57 |
| Support 3 (S3) | 6.41 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work