NASDAQ:XMTR
Xometry, Inc. Stock Price (Quote)
$16.48
-0.0600 (-0.363%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $14.41 | $19.15 | Tuesday, 14th May 2024 XMTR stock ended at $16.48. This is 0.363% less than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 8.37% from a day low at $16.48 to a day high of $17.86. |
90 days | $14.41 | $33.68 | |
52 weeks | $13.57 | $38.74 |
Date | Open | High | Low | Close | Volume |
Jun 22, 2023 | $22.50 | $22.50 | $21.31 | $21.71 | 770 328 |
Jun 21, 2023 | $22.64 | $23.35 | $22.12 | $22.41 | 552 683 |
Jun 20, 2023 | $22.64 | $23.11 | $21.71 | $22.71 | 877 545 |
Jun 16, 2023 | $23.12 | $23.14 | $22.32 | $22.67 | 698 294 |
Jun 15, 2023 | $23.03 | $23.83 | $22.91 | $23.14 | 517 600 |
Jun 14, 2023 | $23.82 | $24.25 | $22.48 | $23.22 | 983 129 |
Jun 13, 2023 | $25.28 | $25.64 | $23.43 | $23.63 | 1 175 551 |
Jun 12, 2023 | $21.73 | $25.06 | $21.65 | $25.00 | 1 567 716 |
Jun 09, 2023 | $20.67 | $22.39 | $20.34 | $21.65 | 876 783 |
Jun 08, 2023 | $20.06 | $20.96 | $19.52 | $20.63 | 573 651 |
Jun 07, 2023 | $20.38 | $20.80 | $19.69 | $19.83 | 394 648 |
Jun 06, 2023 | $19.02 | $20.34 | $18.80 | $20.06 | 482 338 |
Jun 05, 2023 | $18.56 | $19.41 | $18.20 | $19.15 | 312 492 |
Jun 02, 2023 | $18.31 | $18.85 | $17.90 | $18.60 | 280 577 |
Jun 01, 2023 | $18.22 | $18.72 | $17.82 | $17.87 | 370 871 |
May 31, 2023 | $18.74 | $18.91 | $18.10 | $18.30 | 755 428 |
May 30, 2023 | $19.00 | $19.19 | $18.18 | $18.87 | 582 088 |
May 26, 2023 | $18.65 | $18.89 | $17.39 | $18.72 | 819 845 |
May 25, 2023 | $17.58 | $18.09 | $17.03 | $17.14 | 313 601 |
May 24, 2023 | $17.07 | $17.48 | $16.55 | $17.44 | 227 139 |
May 23, 2023 | $17.32 | $17.85 | $16.98 | $17.10 | 444 391 |
May 22, 2023 | $16.90 | $17.96 | $16.67 | $17.40 | 528 285 |
May 19, 2023 | $17.46 | $17.46 | $16.60 | $17.01 | 693 264 |
May 18, 2023 | $17.60 | $17.80 | $16.92 | $17.21 | 345 633 |
May 17, 2023 | $16.22 | $17.69 | $15.86 | $17.64 | 858 848 |
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 XMTR stock historical prices to predict future price movements?
Trend Analysis: Examine the XMTR 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 XMTR 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.