NYSE:XPOF
Xponential Fitness, Inc. Stock Price (Quote)
$9.15
+0.640 (+7.52%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $7.40 | $13.71 | Tuesday, 21st May 2024 XPOF stock ended at $9.15. This is 7.52% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 9.51% from a day low at $8.41 to a day high of $9.21. |
90 days | $7.40 | $17.00 | |
52 weeks | $7.40 | $29.16 |
Date | Open | High | Low | Close | Volume |
Aug 04, 2023 | $24.00 | $24.00 | $19.13 | $19.61 | 1 552 412 |
Aug 03, 2023 | $21.00 | $21.96 | $20.46 | $20.63 | 1 247 208 |
Aug 02, 2023 | $21.25 | $21.73 | $21.05 | $21.16 | 768 096 |
Aug 01, 2023 | $20.80 | $21.48 | $20.75 | $21.31 | 537 962 |
Jul 31, 2023 | $20.32 | $21.13 | $20.43 | $21.12 | 655 309 |
Jul 28, 2023 | $19.81 | $20.47 | $19.81 | $20.41 | 454 264 |
Jul 27, 2023 | $20.17 | $20.56 | $19.56 | $19.63 | 399 714 |
Jul 26, 2023 | $19.75 | $19.90 | $19.43 | $19.89 | 318 227 |
Jul 25, 2023 | $19.54 | $19.97 | $19.40 | $19.90 | 363 815 |
Jul 24, 2023 | $19.70 | $20.12 | $19.50 | $19.64 | 375 458 |
Jul 21, 2023 | $20.08 | $20.06 | $19.48 | $19.61 | 354 114 |
Jul 20, 2023 | $20.54 | $20.68 | $19.60 | $19.83 | 347 556 |
Jul 19, 2023 | $20.81 | $21.35 | $20.52 | $20.69 | 957 515 |
Jul 18, 2023 | $20.43 | $20.82 | $20.32 | $20.71 | 464 673 |
Jul 17, 2023 | $19.61 | $20.37 | $19.61 | $20.32 | 470 934 |
Jul 14, 2023 | $20.64 | $20.64 | $19.54 | $19.85 | 1 088 441 |
Jul 13, 2023 | $20.36 | $20.72 | $20.04 | $20.66 | 973 134 |
Jul 12, 2023 | $19.80 | $20.32 | $19.47 | $20.32 | 939 280 |
Jul 11, 2023 | $18.80 | $19.52 | $18.65 | $19.44 | 1 290 020 |
Jul 10, 2023 | $17.40 | $19.10 | $17.26 | $18.98 | 1 271 235 |
Jul 07, 2023 | $17.54 | $17.99 | $17.37 | $17.55 | 1 167 317 |
Jul 06, 2023 | $16.92 | $17.91 | $16.44 | $17.67 | 1 842 740 |
Jul 05, 2023 | $17.49 | $17.62 | $16.40 | $16.93 | 1 625 623 |
Jul 03, 2023 | $17.25 | $17.81 | $17.07 | $17.50 | 712 870 |
Jun 30, 2023 | $17.99 | $17.99 | $16.91 | $17.25 | 1 838 553 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use XPOF stock historical prices to predict future price movements?
Trend Analysis: Examine the XPOF stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the XPOF stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.