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Xponential Fitness, Inc. Stock Price Chart

  • The current trend is moderately bullish and XPOF is experiencing slight selling pressure.

Xponential Fitness, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 8.25 Sell
20-day SMA: 8.32 Sell
50-day SMA: 8.15 Sell
200-day SMA: 8.22 Sell
8-day EMA: 6.79 Buy
20-day EMA: 4.15 Buy
50-day EMA: 2.01 Buy
200-day EMA: 0.56 Buy

Xponential Fitness, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 2.24 Buy
Relative Strength Index (14 RSI): 46.33 Sell
Chaikin Money Flow: -614096 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (7.93 - 8.53) Sell
Bollinger Bands (100): (6.66 - 8.34) Buy

Xponential Fitness, Inc. Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Xponential Fitness, Inc. Stock

Is Xponential Fitness, Inc. Stock a Buy?

XPOF Technical Analysis vs Fundamental Analysis

Sell
28
Xponential Fitness, Inc. (XPOF) is a Sell

Is Xponential Fitness, Inc. a Buy or a Sell?

Xponential Fitness, Inc. Stock Info

Market Cap:
283.1M
Price in USD:
8.05
Share Volume:
1.4M

Xponential Fitness, Inc. 52-Week Range

52-Week High:
13.91
52-Week Low:
5.38
Sell
28
Xponential Fitness, Inc. (XPOF) is a Sell

Xponential Fitness, Inc. Share Price Forecast

Is Xponential Fitness, Inc. Stock a Buy?

Fundamental Analysis of Xponential Fitness, Inc.

Is Xponential Fitness, Inc. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.13 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.37 per share, and an increase next year of $0.26 per share.

Technical Analysis of Xponential Fitness, Inc.

Should I short Xponential Fitness, Inc. stock?

* Xponential Fitness, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.