GDWN.L • LSE
Unlock comprehensive alternative data signals to make better investment decisions

Track website visits, page views, unique visitors, and engagement metrics over time to gauge online interest and brand strength.

Monitor Twitter follower growth, engagement rates, and social media presence to understand brand reach and community sentiment.

Analyze TikTok follower trends and viral content performance to measure youth demographic appeal and cultural relevance.

Track Facebook page likes, comments, shares, and post engagement to assess community interaction and brand loyalty.

Monitor Instagram follower growth, engagement rates, and visual content performance across demographics.

Track YouTube channel growth, video views, and subscriber engagement to measure content marketing effectiveness.

Monitor LinkedIn company page followers and professional network growth to assess B2B brand strength and talent attraction.

Track open job positions and hiring trends as a leading indicator of company expansion, contraction, or strategic shifts.

Monitor employee headcount changes on LinkedIn to gauge organizational growth, restructuring, or cost-cutting measures.

Analyze sentiment scores from Reddit discussions to understand retail investor mood and potential price momentum.

Track daily news mentions across major publications to measure media attention, PR effectiveness, and market awareness.

View key financial metrics including Revenue, Net Income, EPS, Free Cash Flow, EBITDA, and Total Assets. Access 2-year quarterly charts for Revenue & Income and Free Cash Flow trends.

Analyze technical indicators including 50-day Simple Moving Average (SMA) with price overlay and Relative Strength Index (RSI) charts.
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With an EPS of 5.28 and a PE ratio of 50.38, the market is pricing in substantial future growth relative to current earnings. This elevated valuation suggests optimism but also leaves little margin for error if earnings growth slows or disappoints. In the absence of detailed revenue and margin trends, the risk/reward profile appears balanced rather than clearly attractive.
The stock trades at about $26.6K, roughly 14.2% higher over the last month and well above its 200-day moving average of $13.9K, signaling a strong longer-term uptrend. However, the RSI at 49.20 is neutral, suggesting neither overbought nor oversold conditions despite the large move versus the 200-day average. The combination points to a strong trend that may already be extended, warranting caution on near-term upside.
Estimated web traffic of 4,830 visitors per month and 2,251 LinkedIn followers suggest a modest digital footprint, consistent with a niche or industrial-focused business rather than a consumer-facing brand. The absence of current job openings points to a stable or potentially cautious hiring stance, which could reflect operational efficiency or limited near-term expansion. Overall, alternative data do not provide a strong positive or negative signal for near-term stock performance.
Goodwin PLC’s stock shows strong price momentum and trades significantly above its 200-day moving average, but this strength is paired with a high PE ratio that already discounts robust future growth. Alternative data are largely muted, neither confirming aggressive expansion nor signaling clear deterioration. Taken together, the risk/reward appears balanced, with notable upside already priced in and sensitivity to any slowdown in earnings growth.
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.
TrendEdge provides tools and data for research and educational purposes only and does not provide investment advice or personal recommendations.
Key moves vs recent baseline (last day / last week)
Plain-English summary of the biggest drivers (informational)
Potential risk factors to review
Based on earnings timing, volatility, liquidity and crowd activity. Informational signals only — not investment advice.
Reassess your thesis if any of these occur: