SEE.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.
TrendEdge provides tools and data for research and educational purposes only and does not provide investment advice or personal recommendations.
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Seeing Machines Limited is currently unprofitable, as indicated by its negative EPS and negative P/E ratio. The lack of positive earnings suggests that the investment case is still largely based on future growth expectations rather than current financial strength. Until there is a clear path to profitability, the financial profile remains high risk.
Despite a sharp 24.7% decline over the last month, the stock still trades above its 200-day moving average, suggesting it remains in a longer-term uptrend. The RSI at 64.44 is elevated but not yet overbought, implying recent selling may be a pullback within a broader positive technical structure. Overall, the technical picture is mixed: short-term pressure against a still-intact longer-term trend.
Alternative data show weak or softening growth signals: job openings are down 20% month over month, implying a possible slowdown in expansion or increased cost discipline. Social media followings are small and growing only marginally, with Twitter/X slightly declining, which does not point to strong brand or demand momentum. Website traffic is modest, providing limited evidence of accelerating commercial traction.
Overall, Seeing Machines Limited appears fundamentally weak with ongoing losses and no current earnings support, while alternative data show subdued growth signals. Although the stock remains above its 200-day moving average, the recent sharp price decline and only moderately strong technicals do not offset the underlying financial and demand concerns. The balance of evidence points to a cautious, bearish stance until profitability and stronger growth indicators emerge.
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.
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.
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