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News HighlightsRecent headlines paint a varied picture across sectors: China's push to end automotive price wars may indirectly benefit
, a key supplier of automotive components, if industry stabilization boosts demand for parts and manufacturing equipment. Trump's expansion of uranium mining in Utah highlights a growing interest in energy infrastructure, which could signal shifting capital allocations but is not directly tied to Modine's core operations. Hyundai's $7.6 billion EV factory in Georgia underlines the broader industry’s push toward electrification. While Modine's traditional ICE components remain relevant, the company must adapt to the long-term shift toward EVs.Analyst Views & FundamentalsThe analyst landscape for Modine is mixed, with 1 out of 1 active analyst recently issuing a Strong Buy rating, but that analyst—Matt J. Summerville of DA Davidson—has a historical win rate of just 25.0% and an average return of -4.55%. This weak historical performance casts doubt on the current bullish calls. Simple average analyst rating: 5.00 (neutral) Historical performance-weighted rating: 2.01 (bearish bias) Rating consistency: Dispersed, with no consensus among analysts
Modine’s fundamentals, according to our proprietary model, show a moderate overall score of 7.27 (internal diagnostic score, 0–10). Here are the key metrics and their model scores: Price-to-Book (PB): 4.08x (value) | Score: 3 EV/EBIT: 116.01x (value) | Score: 2 ROA: 2.25% (value) | Score: 3 Gross Profit Margin (GPM): 24.25% (value) | Score: 3 Profit-to-Market Value (Profit-MV): -1.15 (value) | Score: 3 Price-to-Earnings (PE): 181.41x (value) | Score: 1 Cash Flow from Operations (CFOA): 3.32% (value) | Score: 3 Asset-to-Market Value (Asset-MV): -1.38 (value) | Score: 1While Modine shows reasonable gross margins and operating returns, the high PE and low EV/EBIT suggest valuation concerns. The weak ROE (4.77%) further clouds long-term profitability potential.
Money-Flow TrendsDespite the recent price decline, big-money flows remain mixed: Overall inflow ratio: 49.83% Large and extra-large inflows: Both negative and positive trends are present, indicating uncertainty among large-cap investors. Retail (small) inflow ratio: 50.95% (positive), suggesting that smaller traders are currently more bullish.
This mismatch between institutional and retail behavior reflects broader market uncertainty. While retail traders are pushing into Modine, larger investors remain cautious or bearish.
Key Technical SignalsThe technical outlook for Modine is mixed. The technical score is 4.79 (internal diagnostic score, 0–10), which aligns with the assessment of “Weak technology, need to be cautious”. Long Upper Shadow: Score of 8.3 (internal strength) — indicates a strong bullish signal, though mixed with other conflicting indicators. WR Oversold: Score of 7.0 — suggests a moderate bullish bias as the stock trades near oversold levels. Piercing Pattern: Score of 1.0 — a very weak signal with a historical win rate of 0.0%. Bullish Engulfing: Score of 2.84 — a weak positive signal, with only 50% historical accuracy.
Recent chart patterns over the last 5 days (11/5–11/17) include a Long Upper Shadow on November 17 and repeated WR Oversold readings, suggesting a possible bounce. However, the presence of bearish signals like the Piercing Pattern complicates the outlook.
ConclusionModine Manufacturing is caught in a tug-of-war between bullish momentum indicators and weak institutional sentiment. The technical environment remains uncertain, while analyst ratings and historical performance are unreliable. Retail traders are showing some optimism, but large investors are holding back.
Actionable takeaway: Investors should consider waiting for a clearer breakout from the current consolidation phase. Monitor for a sustained close above key resistance levels, and watch the upcoming earnings report for clarity on Modine’s positioning in the evolving automotive and industrial landscape.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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