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DWNI.DE Reddit Mentions

Track DWNI.DE's AI-powered predictions, market trends, and investment insights.

DWNI.DE AI Prediction DWNI.DE Sentiment DWNI.DE StockTwits

Evidence Stack

What Changed?

Key moves vs recent baseline (last day / last week)

Price (1d)1.2%

Price (7d)-2.3%

Volume vs avg0.9x

Volatility vs normal0.9x

Why Now?

Plain-English summary of the biggest drivers (informational)

Risk Flags

Potential risk factors to review

No flags triggered by these checks.

Based on earnings timing, volatility, liquidity and crowd activity. Informational signals only — not investment advice.

Invalidation Signals

Reassess your thesis if any of these occur:

Price breaks below ~€17.86 (recent support level)

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DWNI.DE AI Stock Analysis

Financial Performance

bearish

The negative EPS and resulting negative P/E ratio indicate that Deutsche Wohnen SE is currently loss-making, pointing to weak underlying profitability. Without evidence of a clear turnaround in earnings, this weighs heavily on the investment case and limits valuation support.

Negative EPS of -1.26 implies the company is not generating positive net income, reflecting operational or valuation-driven losses.
A P/E ratio of -14.68 confirms that the market is dealing with negative earnings, making traditional valuation metrics less supportive and increasing uncertainty.
Loss-making status in a capital-intensive, interest-rate-sensitive sector (real estate) raises concerns about balance-sheet resilience and the path back to sustainable profitability.

Stock Price & Technicals

bearish

The stock trades at €18.50, notably below its 200-day moving average of €20.98, signaling a prevailing downtrend. A 6.9% decline over the last month, combined with negative earnings, suggests sentiment and momentum are weak, with limited technical support in the near term.

Current price of €18.50 is materially below the 200-day moving average of €20.98, a classic sign of a bearish medium-term trend.
A 6.9% drop over the past month indicates negative short-term momentum and potential ongoing selling pressure.
With negative EPS and P/E, any technical rebounds may face resistance from fundamental concerns, making rallies vulnerable to profit-taking rather than signaling a sustained trend reversal.

Alternative Data Signals

neutral

Alternative data for Deutsche Wohnen SE is mixed but generally muted rather than strongly positive or negative. Web traffic and app downloads are at modest but non-collapsing levels, while hiring and social media growth are essentially flat to slightly negative, suggesting a lack of strong growth initiatives or marketing push.

Estimated web traffic of 159,108 visitors per month and roughly 1,000 app downloads per day indicate ongoing user engagement but no clear sign of accelerating demand or brand momentum.
Zero job openings with 0.0% month-over-month change suggests limited current expansion or new project scaling, which can be consistent with cost control but also with a lack of growth initiatives.
Social media presence is small (2,658 Instagram followers, 213 Facebook followers, 12 YouTube subscribers) with flat to slightly negative growth, pointing to low marketing reach and limited investor or customer buzz.

Conclusion

bearish

Overall, Deutsche Wohnen SE’s profile appears bearish at this time: the company is loss-making, the share price is trending below its long-term average, and recent price performance is negative. Alternative data do not show strong positive catalysts that might offset weak fundamentals and technicals in the near term.

Negative earnings combined with a share price below the 200-day moving average and a recent 6.9% monthly decline point to a weak fundamental and technical setup.
Muted alternative data signals (flat hiring, modest and stagnant social media presence, steady but unspectacular digital engagement) do not currently suggest a strong growth or sentiment inflection that could quickly reverse the bearish trend.

AI Score

Hold

Alternative5

Fundamental4

Technical4

Our AI Score rates companies on a scale from 0 to 10, based on alternative data points such as web traffic, app downloads, and job postings — combined with financial health indicators and technical signals.

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