PodcastOne (PODC) Stock Chart
NASDAQ: PODCTechnologyComputer Software: Programming Data ProcessingUSD
At close: Oct 9, 4:00 PM ET · Delayed 15 min
PODC technical summary
PODC is trading 19.5% below its 50-day simple moving average of $2.67 and 28.9% below its 200-day average of $3.02. The 50-day average is below the 200-day average, a crossover (often called a "death cross") that occurred within the last month. The 14-day Relative Strength Index (RSI) is 40.6, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $1.50 (Oct 13, 2025) to $5.20 (May 27, 2026); the current price sits 18% of the way from the low to the high. Annualized 30-day volatility is 73.1%. Based on the last session's high, low and close, the classic pivot point is $2.11, with first resistance at $2.29 and first support at $2.02.
These indicators describe past price behavior for PodcastOne; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 40.6
- 50-day SMA
- 2.67
- 200-day SMA
- 3.02
- Beta
- —
- 1Y high
- 5.20 (May 27)
- 1Y low
- 1.50 (Oct 13)
- Last close
- 2.15
PODC price performance
1 week
-5.19%
1 month
-15.44%
3 months
-45.93%
6 months
-4.78%
Year to date
-11.34%
1 year
+32.73%
3 years
-0.45%
PODC price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 2.24Price below | 2.21Price below |
| 10-day | 2.21Price below | 2.23Price below |
| 20-day | 2.25Price below | 2.31Price below |
| 50-day | 2.67Price below | 2.66Price below |
| 100-day | 3.43Price below | 2.94Price below |
| 200-day | 3.02Price below | 2.78Price 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) | 2.56 |
| Resistance 2 (R2) | 2.38 |
| Resistance 1 (R1) | 2.29 |
| Pivot point | 2.11 |
| Support 1 (S1) | 2.02 |
| Support 2 (S2) | 1.84 |
| Support 3 (S3) | 1.75 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work