LODHA - Swing Trade Analysis with AI Signals

Last Updated Time : 05 Nov 25, 7:43 am

Swing Trade Rating: 3.9

📈 LODHA shows solid fundamentals and technical support, but valuation and earnings pressure suggest a cautious swing setup.

🎯 Optimal Entry Price: ₹1,200–₹1,220

🚪 Exit Target (if already holding): ₹1,280–₹1,320

🔍 Positive

• 📈 MACD at 8.53 indicates bullish momentum.
• 📈 RSI at 61.4 suggests strength with room for upside.
• 📈 Price above 50 DMA (₹1,196), showing short-term support.
• 📈 ROCE of 14.6% and ROE of 13.2% reflect healthy operational efficiency.
• 📈 DII holding increased by 0.54%, showing domestic institutional confidence.
• 📈 Debt-to-equity ratio of 0.54 is manageable for a real estate firm.

⚠️ Limitation

• 📉 P/E of 53.3 is above industry average (41.3), suggesting premium valuation.
• 📉 PEG ratio of 1.85 implies valuation is stretched relative to growth.
• 📉 Price below 200 DMA (₹1,249), indicating long-term resistance.
• 📉 Volume below weekly average (12.4L vs 22.9L), showing reduced participation.
• 📉 Dividend yield of 0.35% offers limited income cushion.

📉 Company Negative News

• 📉 PAT declined from ₹644 Cr to ₹336 Cr QoQ, a drop of 14.7%.
• 📉 FII holding declined by 0.78%, reflecting cautious foreign sentiment.

📈 Company Positive News

• 📈 EPS of ₹22.9 supports earnings visibility.
• 📈 DII inflows and MACD strength suggest renewed domestic interest and technical momentum.

🏢 Industry

• 🏢 Real estate benefits from urbanization, housing demand, and infrastructure push.
• 📉 Risks include regulatory hurdles, interest rate sensitivity, and project execution delays.

✅ Conclusion

• 📉 LODHA is a moderately strong swing trade candidate with bullish technicals and decent fundamentals, though valuation and earnings pressure warrant caution.
• 🎯 Entry near ₹1,200–₹1,220 with exit around ₹1,280–₹1,320 is recommended for short-term traders.
• 📊 Long-term investors should monitor project pipeline and margin trends for sustained upside.

I can also compare LODHA with DLF or Godrej Properties to help you identify stronger swing setups in the real estate sector.