SCYNEXIS (SCYX) Stock Chart
NASDAQ: SCYXHealthcareDrug Manufacturers - Specialty & GenericUSD
At close: Oct 8, 4:00 PM ET · Delayed 15 min
SCYX technical summary
SCYX is trading 14.5% below its 50-day simple moving average of $4.93 and 25.2% below its 200-day average of $5.64. 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 39.7, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $3.53 (Jul 27, 2026) to $9.12 (Apr 15, 2026); the current price sits 12% of the way from the low to the high. Annualized 30-day volatility is 77.1%. Based on the last session's high, low and close, the classic pivot point is $4.36, with first resistance at $4.61 and first support at $3.97.
These indicators describe past price behavior for SCYNEXIS; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 39.7
- 50-day SMA
- 4.93
- 200-day SMA
- 5.64
- Beta
- —
- 1Y high
- 9.12 (Apr 15)
- 1Y low
- 3.53 (Jul 27)
- Last close
- 4.22
SCYX price performance
1 week
-21.42%
1 month
-18.06%
3 months
-7.56%
6 months
-46.82%
Year to date
-16.53%
1 year
-32.11%
3 years
-73.09%
5 years
-90.53%
SCYX price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 4.80Price below | 4.67Price below |
| 10-day | 4.80Price below | 4.74Price below |
| 20-day | 4.66Price below | 4.77Price below |
| 50-day | 4.93Price below | 4.83Price below |
| 100-day | 4.71Price below | 5.02Price below |
| 200-day | 5.64Price below | 5.41Price 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) | 5.25 |
| Resistance 2 (R2) | 5.00 |
| Resistance 1 (R1) | 4.61 |
| Pivot point | 4.36 |
| Support 1 (S1) | 3.97 |
| Support 2 (S2) | 3.72 |
| Support 3 (S3) | 3.33 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work