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Range Low Price High Price Comment
30 days $26.84 $29.60 Friday, 17th May 2024 SMMNY stock ended at $28.75. This is 2.38% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.488% from a day low at $28.69 to a day high of $28.83.
90 days $26.84 $31.73
52 weeks $23.80 $31.73

Historical Siemens Healthineers AG prices

Date Open High Low Close Volume
Jun 27, 2023 $27.62 $27.62 $27.46 $27.51 72 109
Jun 26, 2023 $27.50 $27.68 $27.42 $27.51 31 181
Jun 23, 2023 $27.79 $27.89 $27.74 $27.83 18 396
Jun 22, 2023 $27.69 $27.79 $27.65 $27.70 27 631
Jun 21, 2023 $27.78 $27.91 $27.76 $27.85 17 472
Jun 20, 2023 $27.93 $28.00 $27.77 $27.82 28 160
Jun 16, 2023 $29.03 $29.03 $28.68 $28.78 15 641
Jun 15, 2023 $28.34 $28.78 $28.34 $28.76 17 817
Jun 14, 2023 $28.35 $28.59 $28.34 $28.57 20 348
Jun 13, 2023 $28.58 $28.69 $28.53 $28.62 22 575
Jun 12, 2023 $28.14 $28.45 $28.14 $28.37 22 824
Jun 09, 2023 $28.10 $28.20 $28.04 $28.08 20 602
Jun 08, 2023 $28.20 $28.39 $28.20 $28.30 18 918
Jun 07, 2023 $28.29 $28.29 $28.02 $28.04 18 087
Jun 06, 2023 $28.50 $28.55 $28.40 $28.52 20 315
Jun 05, 2023 $28.63 $28.64 $28.32 $28.55 20 357
Jun 02, 2023 $29.02 $29.02 $28.74 $28.80 25 962
Jun 01, 2023 $28.27 $28.71 $28.15 $28.64 78 909
May 31, 2023 $28.40 $28.45 $28.03 $28.33 27 470
May 30, 2023 $28.58 $28.67 $28.50 $28.61 23 814
May 26, 2023 $28.61 $28.80 $28.59 $28.72 21 585
May 25, 2023 $28.22 $28.58 $28.20 $28.34 31 447
May 24, 2023 $28.31 $28.31 $28.10 $28.15 39 723
May 23, 2023 $28.74 $28.79 $28.43 $28.46 27 484
May 22, 2023 $28.88 $29.09 $28.88 $29.00 19 090

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 SMMNY stock historical prices to predict future price movements?
Trend Analysis: Examine the SMMNY 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 SMMNY 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 Siemens Healthineers AG

Siemens Healthineers AG Siemens Healthineers AG, through its subsidiaries, develops, manufactures, and sells a range of diagnostic and therapeutic products and services to healthcare providers worldwide. The company operates through four segments: Imaging, Diagnostics, Varian, and Advanced Therapies. The Imaging segment provides magnetic resonance imaging, computed tomography, X-ray systems, molecular imaging, and ultrasound systems. The Diagnostics segment offers in-vi... SMMNY Profile

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