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Recent headlines highlight broader energy and economic themes, but few directly affect Solaris Energy: New Jersey state senator introduces bills to combat high energy costs: While not directly tied to
.N, this news signals growing concern over utility pricing — potentially affecting investor sentiment in the sector. Trump fast-tracks Utah uranium mine: Uranium policy shifts may indirectly influence the broader energy narrative, but Solaris Energy is more focused on solar infrastructure, so the relevance is limited. Tariffs in the pipeline for energy services: Trump-era policies could affect energy equipment suppliers. Though this doesn’t directly impact Solaris Energy, it underscores a challenging macroeconomic environment for the industry.Analyst Views & Fundamentals
Solaris Energy is currently rated by two analysts, both of whom have issued Buy ratings in the past 20 days — despite their historically weak track records. The simple average rating score is 4.00, and the performance-weighted rating is 1.61, reflecting poor historical returns and a pessimistic overall market outlook.
These ratings are not aligned with the current price trend, which is down by 19.06%. Analysts are optimistic, but the stock is underperforming — a sign of market skepticism.
Key fundamental factors show a mixed picture: Return on Assets (ROA): 3.95% (model score: 3.00) Price-to-Book (PB): 1.72 (model score: 3.00) Enterprise Value to EBIT (EV/EBIT): 35.60 (model score: 3.00) Price-to-Cash Flow (PCF): 23.86 (model score: 1.00) Profit-to-Market Value (Profit-MV): 11.44% (model score: 1.00) Net Income-to-Revenue: 3.01% (model score: 0.00) Price-to-Earnings (PE): 108.80 (model score: 1.00)
The fundamental score is 7.12 (on a 10-point scale), indicating a mixed to positive outlook despite weak earnings and cash flow ratios. Investors may need to balance the company’s asset strength with its weaker profitability indicators.
Money-Flow Trends
Solaris Energy has seen positive overall money flows, with an overall inflow ratio of 50.56%, suggesting that institutional and large investors are generally accumulating the stock. The breakdown shows: Large and medium investors: Inflow ratios at 51.35% and 51.51%, respectively — positive. Small investors (retail): A strong inflow ratio of 51.83% — indicating retail participation is growing. Extra-large investors: The only negative segment, with a 49.88% inflow ratio, but this is a minor outlier.
The fund-flow score is 7.93 (internal diagnostic score, 0-10), indicating healthy inflows from major investor segments and a positive signal for near-term demand.
Key Technical Signals
Solaris Energy has seen

Here are the top indicators and their internal strength scores (0-10): RSI Oversold: 8.03 — strong bullish signal with a 100% win rate (but rare). WR Oversold: 7.26 — also bullish, with a 58.62% win rate. Bearish Engulfing: 2.48 — weak bearish pattern. Long Lower Shadow: 1.96 — mixed, but leaning bearish. Long Upper Shadow: 1.34 — weak and neutral.
Recent chart patterns include: November 12: WR Oversold, Bearish Engulfing November 13: WR Oversold, RSI Oversold November 14: RSI Oversold and another Long Lower Shadow — mixed signals.
The technical indicators point to a weak trend with unclear direction, and the market is in a highly volatile phase. The key insight is that bullish and bearish signals are balanced, but not decisive — suggesting a need for caution and close monitoring of price action.
Conclusion
Solaris Energy (SEI.N) is at a crossroads: it shows strong inflows and mixed fundamentals, but its technical signals are weak and contradictory. The fund-flow score of 7.93 and fundamental score of 7.12 are encouraging, but the technical score of 4.21 is a red flag.
Actionable takeaway: Consider waiting for a clearer breakout or pull-back before entering a position. Monitor the RSI and WR levels for potential entry points, and keep an eye on earnings and broader energy policy changes, which could impact the sector.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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