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Range Low Price High Price Comment
30 days $8.59 $10.05 Friday, 31st May 2024 SSYS stock ended at $8.66. This is 3.99% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.17% from a day low at $8.59 to a day high of $9.03.
90 days $8.59 $12.73
52 weeks $8.59 $21.72

Historical Stratasys prices

Date Open High Low Close Volume
Oct 06, 2016 $24.35 $24.44 $23.86 $24.14 532 500
Oct 05, 2016 $23.87 $24.44 $23.84 $24.33 779 300
Oct 04, 2016 $23.99 $24.22 $23.40 $23.72 674 900
Oct 03, 2016 $24.41 $24.45 $23.63 $23.78 942 100
Sep 30, 2016 $24.20 $25.16 $24.00 $24.09 1 584 500
Sep 29, 2016 $23.71 $24.28 $23.65 $23.95 994 300
Sep 28, 2016 $23.10 $24.13 $23.07 $23.85 1 165 500
Sep 27, 2016 $23.02 $23.38 $22.63 $23.04 698 300
Sep 26, 2016 $22.13 $23.36 $22.12 $22.96 1 490 100
Sep 23, 2016 $22.54 $22.59 $21.89 $22.03 598 800
Sep 22, 2016 $22.48 $22.60 $22.20 $22.45 711 700
Sep 21, 2016 $22.02 $22.37 $21.94 $22.22 691 900
Sep 20, 2016 $22.14 $22.19 $21.80 $21.99 693 600
Sep 19, 2016 $21.88 $22.35 $21.78 $22.00 796 700
Sep 16, 2016 $21.93 $22.39 $21.54 $21.71 650 800
Sep 15, 2016 $21.75 $22.27 $21.66 $22.03 945 900
Sep 14, 2016 $21.27 $21.89 $21.13 $21.53 672 500
Sep 13, 2016 $21.22 $21.55 $20.64 $21.36 1 022 600
Sep 12, 2016 $21.50 $21.58 $20.91 $21.52 800 900
Sep 09, 2016 $22.01 $22.20 $21.65 $21.69 824 600
Sep 08, 2016 $21.85 $22.69 $21.78 $22.31 892 700
Sep 07, 2016 $23.00 $23.07 $21.75 $21.97 1 261 300
Sep 06, 2016 $23.00 $23.73 $22.72 $22.76 2 299 900
Sep 02, 2016 $21.58 $22.37 $21.41 $21.93 900 800
Sep 01, 2016 $22.00 $22.00 $20.88 $21.33 888 900

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.

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.

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.

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.
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About Stratasys

Stratasys Stratasys Ltd. provides connected polymer-based 3D printing solutions. It offers 3D printing systems, such as polyjet printers, FDM printers, stereolithography printing systems, and programmable photo polymerization printers for rapid prototyping, such as design validation, visualization, and communication. The company also provides 3D printing materials, including approximately FDM spool-based filament materials, polyjet cartridge-based resin ma... SSYS Profile

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