NASDAQ:SSYS
Stratasys Stock Price (Quote)
$9.06
+0.0200 (+0.221%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.90 | $10.26 | Friday, 24th May 2024 SSYS stock ended at $9.06. This is 0.221% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.91% from a day low at $8.93 to a day high of $9.19. |
90 days | $8.90 | $13.12 | |
52 weeks | $8.90 | $21.72 |
Date | Open | High | Low | Close | Volume |
Nov 24, 2023 | $11.03 | $11.23 | $11.00 | $11.16 | 284 155 |
Nov 22, 2023 | $10.76 | $11.01 | $10.65 | $11.00 | 755 723 |
Nov 21, 2023 | $11.01 | $11.01 | $10.76 | $10.82 | 371 285 |
Nov 20, 2023 | $10.88 | $11.28 | $10.88 | $11.05 | 556 180 |
Nov 17, 2023 | $10.29 | $11.00 | $10.15 | $10.83 | 777 592 |
Nov 16, 2023 | $10.20 | $11.20 | $10.20 | $10.28 | 846 002 |
Nov 15, 2023 | $10.87 | $11.09 | $10.72 | $10.77 | 517 345 |
Nov 14, 2023 | $10.62 | $11.01 | $10.60 | $10.74 | 536 716 |
Nov 13, 2023 | $10.43 | $10.49 | $10.18 | $10.25 | 360 408 |
Nov 10, 2023 | $10.45 | $10.60 | $10.29 | $10.55 | 358 701 |
Nov 09, 2023 | $10.97 | $10.98 | $10.41 | $10.41 | 375 001 |
Nov 08, 2023 | $11.17 | $11.45 | $10.77 | $10.85 | 424 666 |
Nov 07, 2023 | $11.01 | $11.26 | $10.94 | $11.12 | 562 565 |
Nov 06, 2023 | $11.34 | $11.43 | $10.94 | $11.07 | 508 454 |
Nov 03, 2023 | $10.66 | $11.27 | $10.66 | $11.26 | 1 023 987 |
Nov 02, 2023 | $10.33 | $10.66 | $10.33 | $10.54 | 913 596 |
Nov 01, 2023 | $10.23 | $10.23 | $9.95 | $10.15 | 548 122 |
Oct 31, 2023 | $10.31 | $10.48 | $10.05 | $10.17 | 695 359 |
Oct 30, 2023 | $10.27 | $10.42 | $10.13 | $10.31 | 600 960 |
Oct 27, 2023 | $10.18 | $10.40 | $10.02 | $10.25 | 517 433 |
Oct 26, 2023 | $10.27 | $10.50 | $10.02 | $10.14 | 1 180 482 |
Oct 25, 2023 | $11.12 | $11.17 | $10.14 | $10.36 | 2 004 579 |
Oct 24, 2023 | $11.33 | $11.75 | $11.33 | $11.58 | 588 820 |
Oct 23, 2023 | $11.40 | $11.52 | $11.23 | $11.28 | 514 157 |
Oct 20, 2023 | $11.66 | $11.74 | $11.36 | $11.58 | 702 876 |
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 SSYS stock historical prices to predict future price movements?
Trend Analysis: Examine the SSYS 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 SSYS 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.