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News Highlights Healthcare Funding Expansion: Stanford Health Care raised $424.9 million through a municipal bond sale to finance new projects and debt. While not directly linked to Heartflow, this news reflects growing investment in the healthcare sector, potentially beneficial in the long term. Regulatory and Tariff Uncertainty: Trump's continued tariff announcements and their impact on trade and industry are creating broader market uncertainty, which could weigh on Heartflow’s performance as a small-cap healthcare player. Investor Behavior Shifts: Recent reports highlight defensive trading in healthcare stocks amid geopolitical and economic concerns, signaling a risk-averse market environment. Heartflow’s recent price drop of -8.81% aligns with this broader trend.
Analyst Views & FundamentalsAnalyst Ratings Average Rating Score (Simple Mean): 4.67 Weighted Rating Score (Performance-Weighted): 3.19 Rating Consistency: There are differences among analysts, with recent ratings ranging from “Strong Buy” to “Buy” — suggesting a lack of consensus. Alignment with Price Trend: The current price is falling (-8.81%), while the weighted expectations remain relatively neutral. This mismatch indicates potential volatility ahead.
Key Fundamental Factor Values EV/EBIT: -30.41% Internal diagnostic score: 1 (Weak) ROA: -0.25% Internal diagnostic score: 0 (Poor) GPM (Gross Profit Margin): 76.53% Internal diagnostic score: 3 (Average) PE (Price-to-Earnings): -55.20% Internal diagnostic score: 1 (Weak) Profit-MV (Profitability vs. Market Value): 45.43% Internal diagnostic score: 1 (Weak) GMAR (Gross Margin to Assets Ratio): 76.53% Internal diagnostic score: 3 (Average) Cash-UP (Cash Utilization Performance): 52.99% Internal diagnostic score: 2 (Neutral) CFOA (Cash Flow to Operating Assets): -11.92% Internal diagnostic score: 0 (Poor) NPM (Net Profit Margin): -109.89% Internal diagnostic score: 3 (Average) Cash-MV (Cash to Market Value): 44.02% Internal diagnostic score: 1 (Weak)
Money-Flow TrendsHeartflow is seeing a mixed bag of fund-flow activity. Large institutional investors and block traders are pushing the stock in a positive direction with a block inflow ratio of 50.26%, suggesting strong backing from big money. However, retail and smaller investors are less confident, with medium and small inflow ratios at 48.67% and 45.96%, respectively.
This divergence between big and small money implies uncertainty about the stock’s future direction, with major players continuing to build positions while retail traders remain cautious.
Key Technical SignalsInternal Diagnostic Scores (0-10) WR Oversold: 8.4 (Strong bullish signal) Marubozu White: 8.1 (Strong bullish signal) Long Upper Shadow: 1.61 (Neutral bias signal) Long Lower Shadow: 1 (Biased bearish signal)
Recent Chart Patterns 2025-11-18: WR Oversold and Marubozu White signals appeared, suggesting short-term bullish momentum. 2025-11-21: A Long Lower Shadow formed, indicating a potential bearish reversal. 2025-11-13: A WR Oversold and RSI Oversold signal was observed, indicating the stock may be undervalued and due for a rebound.

Trend QualityAccording to the technical analysis, the stock is currently in a “Weak technology, need to be cautious” phase. Momentum is unclear, and the market is in a volatile state. Traders should remain alert to rapid shifts in sentiment, particularly in the face of conflicting bullish and bearish candlestick patterns.
ConclusionHeartflow presents a mixed picture at the moment. While strong bullish technical signals and some positive institutional flows are encouraging, the broader market environment and weak fundamentals suggest a cautious approach. With a technical score of 4.78 out of 10 and a weak ROA of -0.25%, the stock is not in the best shape to capitalize on short-term momentum.
Actionable Takeaway: Consider waiting for a pull-back or clearer trend confirmation before entering a long position. For now, watch for key levels and potential follow-through in the form of strong institutional buying or positive earnings surprises.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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