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Range Low Price High Price Comment
30 days 16.68€ 18.78€ Monday, 20th May 2024 DWNI.DE stock ended at 18.18€. This is 1.62% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 1.76% from a day low at 18.18€ to a day high of 18.50€.
90 days 16.46€ 19.95€
52 weeks 16.46€ 24.10€

Historical Deutsche Wohnen SE prices

Date Open High Low Close Volume
Jan 31, 2024 22.22€ 22.72€ 22.14€ 22.56€ 32 025
Jan 30, 2024 22.08€ 22.36€ 22.08€ 22.18€ 27 212
Jan 29, 2024 21.94€ 22.10€ 21.50€ 22.08€ 17 008
Jan 26, 2024 21.80€ 21.86€ 21.46€ 21.78€ 43 204
Jan 25, 2024 21.74€ 22.04€ 21.32€ 21.94€ 39 883
Jan 24, 2024 21.46€ 21.96€ 21.46€ 21.80€ 35 029
Jan 23, 2024 21.66€ 21.78€ 21.36€ 21.38€ 45 988
Jan 22, 2024 21.82€ 22.02€ 21.48€ 21.62€ 35 725
Jan 19, 2024 21.80€ 21.90€ 21.46€ 21.70€ 52 958
Jan 18, 2024 21.60€ 21.86€ 21.58€ 21.68€ 61 360
Jan 17, 2024 21.66€ 21.76€ 21.40€ 21.60€ 66 224
Jan 16, 2024 22.44€ 22.50€ 22.16€ 22.20€ 49 040
Jan 15, 2024 22.88€ 23.00€ 22.48€ 22.56€ 11 390
Jan 12, 2024 22.78€ 23.20€ 22.70€ 22.90€ 50 824
Jan 11, 2024 23.00€ 23.14€ 22.52€ 22.70€ 54 368
Jan 10, 2024 22.36€ 23.06€ 22.36€ 22.76€ 29 235
Jan 09, 2024 22.62€ 22.68€ 22.32€ 22.40€ 34 965
Jan 08, 2024 22.40€ 22.62€ 22.12€ 22.50€ 56 927
Jan 05, 2024 22.64€ 22.76€ 22.40€ 22.68€ 36 247
Jan 04, 2024 22.78€ 23.14€ 22.60€ 22.70€ 28 241
Jan 03, 2024 23.26€ 23.28€ 22.78€ 22.86€ 30 168
Jan 02, 2024 23.82€ 23.98€ 23.32€ 23.48€ 40 403
Dec 29, 2023 23.76€ 23.94€ 23.58€ 23.94€ 26 830
Dec 28, 2023 23.70€ 23.78€ 23.52€ 23.66€ 31 577
Dec 27, 2023 23.52€ 23.74€ 23.34€ 23.70€ 66 084

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 DWNI.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the DWNI.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 DWNI.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 Deutsche Wohnen SE

Deutsche Wohnen SE Deutsche Wohnen SE develops and manages residential properties in Germany. The company operates through four segments: Residential Property Management, Disposals, Nursing home operators, and Nursing Properties. Its property portfolio consists of approximately 160,000 residential and commercial units; nursing properties with approximately 10,580 beds; and apartments for assisted living. The company manages and markets nursing and residential care ... DWNI.DE Profile

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