Duluth (DLTH) Stock Chart
NASDAQ: DLTHConsumer DiscretionaryClothing/Shoe/Accessory StoresUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
DLTH technical summary
DLTH is trading 0.8% below its 50-day simple moving average of $4.05 and 19.7% above its 200-day average of $3.36. 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 47.3, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $2.02 (Jan 5, 2026) to $5.09 (Jun 12, 2026); the current price sits 65% of the way from the low to the high. Annualized 30-day volatility is 68.7%. Based on the last session's high, low and close, the classic pivot point is $4.02, with first resistance at $4.11 and first support at $3.94.
These indicators describe past price behavior for Duluth; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 47.3
- 50-day SMA
- 4.05
- 200-day SMA
- 3.36
- Beta
- —
- 1Y high
- 5.09 (Jun 12)
- 1Y low
- 2.02 (Jan 5)
- Last close
- 4.02
DLTH price performance
1 week
+3.08%
1 month
-9.46%
3 months
-3.13%
6 months
+18.58%
Year to date
+93.27%
1 year
+12.61%
3 years
-25.00%
5 years
-72.31%
DLTH price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 4.01Price above | 4.02Price above |
| 10-day | 3.98Price above | 4.03Price below |
| 20-day | 4.15Price below | 4.06Price below |
| 50-day | 4.05Price below | 4.06Price below |
| 100-day | 4.05Price below | 3.93Price above |
| 200-day | 3.36Price above | 3.48Price 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) | 4.28 |
| Resistance 2 (R2) | 4.19 |
| Resistance 1 (R1) | 4.11 |
| Pivot point | 4.02 |
| Support 1 (S1) | 3.94 |
| Support 2 (S2) | 3.85 |
| Support 3 (S3) | 3.77 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work