NASDAQ:XM
Delisted
Qualtrics International Inc. Stock Price (Quote)
$18.14
+0 (+0%)
At Close: Sep 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $18.14 | $18.14 | Wednesday, 27th Sep 2023 XM stock ended at $18.14. During the day the stock fluctuated 0% from a day low at $18.14 to a day high of $18.14. |
90 days | $18.14 | $18.14 | |
52 weeks | $9.32 | $18.15 |
Date | Open | High | Low | Close | Volume |
Jan 13, 2023 | $10.53 | $10.68 | $10.38 | $10.59 | 1 042 621 |
Jan 12, 2023 | $10.63 | $10.76 | $10.02 | $10.73 | 1 473 552 |
Jan 11, 2023 | $10.74 | $10.82 | $10.52 | $10.62 | 1 065 745 |
Jan 10, 2023 | $10.68 | $10.80 | $10.28 | $10.67 | 733 200 |
Jan 09, 2023 | $10.37 | $10.85 | $10.34 | $10.69 | 2 153 176 |
Jan 06, 2023 | $10.30 | $10.30 | $9.74 | $10.22 | 1 238 400 |
Jan 05, 2023 | $10.48 | $10.52 | $10.08 | $10.21 | 853 565 |
Jan 04, 2023 | $10.39 | $10.76 | $10.25 | $10.63 | 852 386 |
Jan 03, 2023 | $10.66 | $10.87 | $10.12 | $10.18 | 1 503 532 |
Dec 30, 2022 | $10.02 | $10.41 | $9.91 | $10.38 | 847 288 |
Dec 29, 2022 | $9.79 | $10.40 | $9.70 | $10.34 | 1 033 671 |
Dec 28, 2022 | $9.84 | $9.97 | $9.66 | $9.68 | 984 384 |
Dec 27, 2022 | $9.94 | $10.21 | $9.71 | $9.90 | 1 452 045 |
Dec 23, 2022 | $10.11 | $10.14 | $9.82 | $10.10 | 688 254 |
Dec 22, 2022 | $9.85 | $10.13 | $9.78 | $10.12 | 770 314 |
Dec 21, 2022 | $10.16 | $10.49 | $10.01 | $10.07 | 674 157 |
Dec 20, 2022 | $9.86 | $10.26 | $9.85 | $10.19 | 1 012 441 |
Dec 19, 2022 | $10.35 | $10.35 | $9.91 | $10.04 | 1 750 590 |
Dec 16, 2022 | $10.18 | $10.48 | $10.17 | $10.39 | 1 619 623 |
Dec 15, 2022 | $10.39 | $10.59 | $10.16 | $10.28 | 1 544 825 |
Dec 14, 2022 | $10.45 | $10.90 | $10.37 | $10.72 | 3 323 508 |
Dec 13, 2022 | $11.17 | $11.35 | $10.35 | $10.47 | 4 607 914 |
Dec 12, 2022 | $10.02 | $10.53 | $10.02 | $10.50 | 1 483 786 |
Dec 09, 2022 | $10.01 | $10.19 | $9.92 | $10.03 | 1 508 699 |
Dec 08, 2022 | $10.09 | $10.62 | $9.97 | $10.16 | 2 720 284 |
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 XM stock historical prices to predict future price movements?
Trend Analysis: Examine the XM 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 XM 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.