eXoZymes (EXOZ) Stock Chart
NASDAQ: EXOZHealth CareBiotechnology: Biological Products (No Diagnostic Substances)USD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
EXOZ technical summary
EXOZ is trading 13.3% below its 50-day simple moving average of $6.08 and 36.8% below its 200-day average of $8.33. 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 36.5, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $4.35 (Jul 29, 2026) to $18.40 (Nov 10, 2025); the current price sits 7% of the way from the low to the high. Annualized 30-day volatility is 52.2%. Based on the last session's high, low and close, the classic pivot point is $5.59, with first resistance at $5.66 and first support at $5.47.
These indicators describe past price behavior for eXoZymes; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 36.5
- 50-day SMA
- 6.08
- 200-day SMA
- 8.33
- Beta
- —
- 1Y high
- 18.40 (Nov 10)
- 1Y low
- 4.35 (Jul 29)
- Last close
- 5.27
EXOZ price performance
1 week
-4.97%
1 month
-12.20%
3 months
-26.62%
6 months
-46.99%
Year to date
-49.17%
1 year
-58.96%
EXOZ price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 5.62Price below | 5.64Price below |
| 10-day | 5.86Price below | 5.80Price below |
| 20-day | 6.07Price below | 6.00Price below |
| 50-day | 6.08Price below | 6.29Price below |
| 100-day | 6.92Price below | 6.99Price below |
| 200-day | 8.33Price below | 8.65Price 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) | 5.85 |
| Resistance 2 (R2) | 5.78 |
| Resistance 1 (R1) | 5.66 |
| Pivot point | 5.59 |
| Support 1 (S1) | 5.47 |
| Support 2 (S2) | 5.40 |
| Support 3 (S3) | 5.28 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work