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News Highlights
Recent news has focused on shifting policies in the health and pharmaceutical industries, which could impact Immunome's long-term prospects:
May 29, 2025: The US Department of Health and Human Services made significant changes to how Covid-19 vaccines are approved and recommended. This could affect Immunome's vaccine research and partnerships. Impact: Uncertain; potential for regulatory hurdles or new opportunities.
May 13, 2025: A new executive order from President Trump aims to lower U.S. drug prices, raising concerns about margins and long-term innovation in the pharma sector. Impact: Potentially negative for Immunome’s pricing power and R&D investment returns.
May 7, 2025: Teva Pharmaceuticals reported strong growth in Q1 2025. This highlights the competitive environment in the pharma space and raises the bar for companies like Immunome to meet expectations. Impact: Could pressure Immunome to demonstrate growth or risk being overlooked.
Analyst Views & Fundamentals
The analyst rating landscape for Immunome is mixed. The simple average rating score is 4.00, while the weighted rating score is 0.00 due to a poor historical performance by the only active analyst, Sudan Loganathan of Stephens & Co. This analyst has only one recent buy recommendation, but the firm's historical win rate is 0.0%, with an average return of -14.15% from two past predictions. The rating consistency is low, with one analyst issuing a “Buy” rating in a rising price environment, suggesting a mismatch between expectations and current performance.
Key fundamental factor values include:
Gross Profit Margin (GPM): 18.34% – internal diagnostic score: 4.4
Return on Assets (ROA): -47.60% – internal diagnostic score: 4.4
EV/EBIT: -7.15 – internal diagnostic score: 4.4
Price-to-Sales (PS): 146.69 – internal diagnostic score: 4.4
Cash Flow from Operations (CFOA): -47.75% – internal diagnostic score: 4.4
Gross Margin (GMAR): 100.00% – internal diagnostic score: 4.4
These numbers suggest a company struggling to translate high gross margins into positive cash flow or profitability, and with a very high PS ratio indicating poor valuation relative to revenue.
Money-Flow Trends
Immunome's stock has shown strong big-money inflows, with large and extra-large investors showing a positive trend. The internal diagnostic score (0-10) for fund flow is 7.83, labeled as "good." The inflow ratios are as follows:
Large investors: 52.72% inflow
Extra-large investors: 50.34% inflow
Overall inflow ratio: 51.00%
However, retail (small) investors have shown a negative trend, with a 49.63% inflow ratio, indicating a lack of retail support. This suggests institutional confidence may not be enough to sustain the stock’s price momentum.
Key Technical Signals
The technical outlook for Immunome is bearish, with 3 negative indicators and no bullish ones over the past five days. Key internal diagnostic scores (0-10) for recent chart patterns include:
Long Upper Shadow: 2.94 – a bearish signal indicating a rejection of higher prices.
Marubozu White: 2.8 – a strong bearish signal with no upper shadow, indicating a one-sided sell-off.
Piercing Pattern: 2.4 – a bearish reversal pattern.
Recent chart patterns from November 10–14, 2025 include multiple bearish signals, particularly on the 14th, when the stock showed a Marubozu White, Long Upper Shadow, and Piercing Pattern all in one session. The overall trend is weak, with the key insight that "bearish signals are clearly dominant (3 bearish vs 0 bullish)", and "the market is in a volatile state with an unclear direction."
Conclusion
Given the internal diagnostic score of 3.55 for technical analysis and the bearish signals, it appears Immunome is in a weak phase. While institutional money is flowing in, the fundamentals and technicals suggest caution. Retail investors are not supporting the rally, and analyst ratings are inconsistent with the price trend. Consider waiting for a clearer direction or a pull-back before entering or adding to positions.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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