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⚠ Disclaimer: This report is generated using AI tools and is for informational purposes only. It does not constitute investment advice. Please consult a registered financial advisor before making any investment decisions.

CAMPUS - Swing Trade Analysis

Last Updated Time : 02 Aug 25, 12:58 am

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Swing Trade Rating: 3.3

👟 Campus Activewear: Swing Setup Breakdown

Campus has momentum potential with solid fundamentals, but technical signals are soft. This makes it a mild candidate for swing trading — one that requires confirmation before jumping in.

✅ Positives Supporting a Trade

💹 ROCE (31.8%) & ROE (29.3%) — excellent operational metrics

📉 Low debt-to-equity (0.68) — manageable leverage

🚀 EPS growth: ₹3.57, with a massive profit variation (1347%) — likely due to a low base or seasonal uptick

💸 PEG ratio of 1.86 — suggests some room for growth vs valuation

📊 Volume improving, currently above weekly average

⚠️ Caution Flags

📉 P/E (77.1) vs Industry PE (42.9) — overvalued by sector standards

🧊 RSI (41.2) — in a weak momentum zone

🧭 MACD barely positive (0.35) — no clear signal

❌ Recent PAT dropped from ₹39.6 Cr. to ₹28.7 Cr. — trend reversal risk

❓ Missing Book Value — difficult to assess deep value

📉 Trading below both DMA 50 & DMA 200 — trend indecisive

🎯 Optimal Entry Price

Buy Zone: ₹265–₹270 — slightly below current price and near a bounce level

Enter if

RSI crosses above 48–50

MACD shows a positive cross with momentum

Volume sustains above 3L

Stop-Loss: ₹255 — safe buffer under support zone

🚪 Exit Plan (If Already Holding)

Initial Target: ₹285–₹290 — moderate resistance zone

Stretch Target: ₹300–₹310 — swing-friendly breakout level

Once price moves past ₹290, trail stop-loss to ₹270 to protect gains

📌 Quick Verdict

CAMPUS isn’t screaming “buy now,” but it’s a watchable swing setup. Fundamentals support growth, but technicals need to realign. If already holding, structure exits smartly around resistance zones. New entries should wait for strength confirmation — don't rush this one.

I can scan similar mid-cap consumer names with stronger RSI and breakout profiles if you want to compare. Just say the word. 📊

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