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Range Low Price High Price Comment
30 days 39.03€ 42.36€ Friday, 31st May 2024 QIA.DE stock ended at 39.37€. This is 0.242% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.28% from a day low at 39.03€ to a day high of 39.53€.
90 days 36.59€ 42.36€
52 weeks 32.74€ 43.47€

Historical QIAGEN N.V. prices

Date Open High Low Close Volume
Oct 26, 2023 34.94€ 35.07€ 34.77€ 34.94€ 477 064
Oct 25, 2023 35.22€ 35.51€ 34.56€ 35.04€ 670 544
Oct 24, 2023 35.35€ 35.60€ 34.95€ 35.22€ 796 669
Oct 23, 2023 35.59€ 35.65€ 35.03€ 35.44€ 416 929
Oct 20, 2023 35.25€ 35.78€ 34.99€ 35.51€ 712 738
Oct 19, 2023 36.04€ 36.36€ 35.45€ 35.46€ 715 751
Oct 18, 2023 36.83€ 36.94€ 36.34€ 36.42€ 365 901
Oct 17, 2023 36.74€ 37.26€ 36.56€ 36.85€ 558 459
Oct 16, 2023 36.49€ 36.93€ 36.30€ 36.87€ 363 437
Oct 13, 2023 37.23€ 37.23€ 36.19€ 36.45€ 911 330
Oct 12, 2023 37.82€ 37.82€ 37.50€ 37.60€ 506 657
Oct 11, 2023 38.23€ 38.64€ 37.62€ 37.71€ 497 868
Oct 10, 2023 37.71€ 38.10€ 37.60€ 38.08€ 588 367
Oct 09, 2023 38.17€ 38.38€ 37.42€ 37.50€ 590 581
Oct 06, 2023 38.00€ 38.40€ 37.91€ 38.19€ 399 249
Oct 05, 2023 38.05€ 38.57€ 38.05€ 38.09€ 323 715
Oct 04, 2023 37.87€ 38.02€ 37.67€ 37.89€ 428 211
Oct 03, 2023 37.91€ 38.20€ 37.84€ 38.05€ 356 326
Oct 02, 2023 38.28€ 38.46€ 37.85€ 38.16€ 571 873
Sep 29, 2023 37.77€ 38.44€ 37.76€ 38.27€ 702 591
Sep 28, 2023 37.23€ 37.83€ 37.20€ 37.40€ 468 693
Sep 27, 2023 37.32€ 37.86€ 37.29€ 37.33€ 583 405
Sep 26, 2023 36.95€ 37.49€ 36.73€ 37.39€ 618 898
Sep 25, 2023 37.28€ 37.31€ 36.75€ 36.98€ 330 929
Sep 22, 2023 37.00€ 37.39€ 36.99€ 37.25€ 333 787

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 QIA.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the QIA.DE 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 QIA.DE 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 QIAGEN N.V.

QIAGEN N.V. QIAGEN N.V. offers sample to insight solutions that transform biological materials into molecular insights worldwide. The company provides primary sample technology consumables, such as nucleic stabilization and purification kits for primary sample materials, manual and automated processing for genotyping, gene expression, and viral and bacterial analysis, as well as silica membranes and magnetic bead technologies; secondary sample technology con... QIA.DE Profile

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