MultiSensor AI (MSAI) Stock Chart
NASDAQ: MSAITechnologyElectronic ComponentsUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
MSAI technical summary
MSAI is trading 8.7% below its 50-day simple moving average of $5.04 and 42.1% below its 200-day average of $7.94. 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 40.8, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $4.40 (Jun 9, 2026) to $96.00 (Oct 31, 2025); the current price is at the bottom of that range. Annualized 30-day volatility is 35.5%. Based on the last session's high, low and close, the classic pivot point is $4.54, with first resistance at $4.67 and first support at $4.48.
These indicators describe past price behavior for MultiSensor AI; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 40.8
- 50-day SMA
- 5.04
- 200-day SMA
- 7.94
- Beta
- —
- 1Y high
- 96.00 (Oct 31)
- 1Y low
- 4.40 (Jun 9)
- Last close
- 4.60
MSAI price performance
1 week
-5.35%
1 month
-7.26%
3 months
-11.71%
6 months
-30.30%
Year to date
-60.07%
1 year
-82.31%
3 years
-98.93%
MSAI price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 4.64Price below | 4.64Price below |
| 10-day | 4.72Price below | 4.69Price below |
| 20-day | 4.75Price below | 4.78Price below |
| 50-day | 5.04Price below | 5.02Price below |
| 100-day | 5.24Price below | 6.15Price below |
| 200-day | 7.94Price below | 10.82Price 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) | 4.86 |
| Resistance 2 (R2) | 4.73 |
| Resistance 1 (R1) | 4.67 |
| Pivot point | 4.54 |
| Support 1 (S1) | 4.48 |
| Support 2 (S2) | 4.35 |
| Support 3 (S3) | 4.29 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work