Today’s AI Top Pick: GPI

7/14/2026 · Low Float Mid Cap Undervalued screen · a free sample of K3vl4r’s AI-curated picks.

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Today's pick · Low Float Mid Cap UndervaluedGPIBUY NOW8.7 / 107/14/2026

Group 1 Automotive (GPI) is the cleanest setup in the pool because it is the rare name where a beaten-down chart, undervalued fundamentals, and unanimously bullish forecasts all line up. Every timeframe points higher: 1h fc_short/mid/long = +3.43/+7.47/+9.29, 4h = +4.72/+12.23/+12.35, 1d = +8.79/+31.44/+29.24, and 1wk = +2.64/+1.79/+4.07. Bullish_prob is 1.0 and near_term_bullish is 1 — the only candidate here with both maxed. This is 4-of-4 timeframe agreement, exactly what we want. Crucially, GPI is NOT being chased. Position in 21-bar range is 12.96% (1h), 24.27% (1d), and just 11.2% (1wk), with a -17.11% drawdown from the weekly high and -8.98% recent 21-bar move. In other words, the tape has already flushed — we're buying weakness that the forecast models expect to snap back sharply (1d mid horizon +31%). Compare that to MORN (pos_in_range 100% on 1d, 98.66% on 1h — right at the highs) or NMM/SAH which show negative forecasts across every timeframe. Fundamentals are the strongest confirmation. FwdPE 6.33 (lowest in the pool with a positive forecast tape), PEG 0.76, EPS next year growth 12.53%, sales YoY +7.17%, analyst recom 1.6 (strong buy), and targetUpsidePct 41.8% — the highest analyst upside of any candidate. Perf YTD -24.83% and perf Year -38.05% show this is a genuinely dislocated name, not a momentum trap. Institutional ownership at 98.27% signals conviction from real money. News check is clean: Evercore ISI reiterated Outperform (albeit with a lower $440 PT), UBS Neutral $330, and a bullish SeekingAlpha piece on the maintenance-services moat. No guidance cut, no legal issue, no dilution. Today is the right entry because the drawdown gives asymmetric R:R — you're buying at ~$296 vs. an Evercore $440 target and a 1d fc_mid pointing to ~$389. Waiting risks missing the forecasted mean-reversion move that both 4h and 1d models are calling.

GPI forecast chart
Entry zone
$293–$298 (current $296.10, scale in on any dip toward $290)
Stop loss
$278 (below the weekly drawdown zone, ~6% risk)
First target
$325 (4h fc_long ~+12%)
Longer target
$385–$440 (1d fc_mid +31% / Evercore PT $440)
Risks
  • Auto-retail cycle risk: profit margin only 1.43% and operating margin 4.45% — thin cushion if new-vehicle demand weakens
  • Debt/Eq 1.98 is elevated; rising rates or tighter credit hurts floorplan financing costs
  • Perf Year -38.05% shows the downtrend is entrenched; a break of $278 could see momentum sellers pile on
  • UBS just lowered PT to $330 (from higher), suggesting sell-side is trimming expectations even while staying Neutral
  • 1wk forecast magnitudes are modest (+4.07% long) vs. the huge 1d numbers — timeframes agree on direction but disagree on scale
Honorable mentions
MORNBest fundamentals in the pool (ROE 30.66%, profit margin 16.06%, oper margin 22.52%) and bullish_prob 1.0 with strong 1wk fc_long +45.33%, but pos_in_21bar_range is pinned at 98–100% across 1h/4h/1d — you'd be chasing an extended name. BUY_PULLBACK toward $165.
ABGSolid multi-timeframe agreement on 1d/1wk (fc_long +0.65 / +8.26) and clean news (UBS PT raised to $221), but pos_in_range 94.32% on 1d means limited near-term upside; targetUpsidePct only 7.8%.
Full ranking (5)
#SymbolVerdictScoreRead
1GPIBUY NOW8.74-of-4 bullish timeframes, low in range (12–24%), fwdPe 6.33, 41.8% analyst upside — the textbook setup.
2MORNBUY PULLBACK7.2Elite fundamentals and huge 1wk fc_long +45%, but sitting at 100% of 21-bar range — wait for a dip.
3ABGWAIT5.8Near-term bullish and cheap (fwdPe 7.15), but extended in range and only 7.8% analyst upside.
4NMMAVOID3.0All four timeframes forecast negative (1wk fc_long -53.89%) and pos_in_range 94–98% despite bullish_prob 0.
5SAHAVOID2.2Fundamental score -0.5, PE 28.75, debtEq 4.51, negative targetUpside -5.4%, and JPM just cut PT to $76 — broken setup.

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⚠️ This AI-generated analysis is for informational purposes only and is not financial advice. Forecasts and scores are model outputs that can be wrong; markets involve substantial risk of loss. Do your own research.