Expensify (EXFY) Stock Chart
NASDAQ: EXFYTechnologyComputer Software: Prepackaged SoftwareUSD
At close: Oct 7, 4:00 PM ET · Delayed 15 min
EXFY technical summary
EXFY is trading 1.4% below its 50-day simple moving average of $2.30 and 49.7% above its 200-day average of $1.52. 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 49.1, within the neutral 30 to 70 band.
Over the past year, the stock ranged from $0.691 (Mar 18, 2026) to $2.81 (Aug 10, 2026); the current price sits 75% of the way from the low to the high. Annualized 30-day volatility is 47.5%. Based on the last session's high, low and close, the classic pivot point is $2.26, with first resistance at $2.31 and first support at $2.22.
These indicators describe past price behavior for Expensify; they are not predictions.
Summary generated from market data by MetaCap's automated system. Methodology
Technical indicators
- RSI (14)
- 49.1
- 50-day SMA
- 2.30
- 200-day SMA
- 1.52
- Beta
- —
- 1Y high
- 2.81 (Aug 10)
- 1Y low
- 0.691 (Mar 18)
- Last close
- 2.27
EXFY price performance
1 week
+0.89%
1 month
-4.22%
3 months
+20.74%
6 months
+184.46%
Year to date
+50.33%
1 year
+33.53%
3 years
-22.53%
EXFY price return, excluding dividends.
Moving averages
| Period | Simple (SMA) | Exponential (EMA) |
|---|---|---|
| 5-day | 2.29Price below | 2.27Price below |
| 10-day | 2.26Price above | 2.28Price below |
| 20-day | 2.27Price below | 2.29Price below |
| 50-day | 2.30Price below | 2.21Price above |
| 100-day | 1.89Price above | 1.98Price above |
| 200-day | 1.52Price above | 1.72Price 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) | 2.41 |
| Resistance 2 (R2) | 2.36 |
| Resistance 1 (R1) | 2.31 |
| Pivot point | 2.26 |
| Support 1 (S1) | 2.22 |
| Support 2 (S2) | 2.17 |
| Support 3 (S3) | 2.12 |
Classic floor-trader pivots from the last session's high, low and close. How pivot points work