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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.

IOB - Swing Trade Analysis with AI Signals

Last Updated Time : 19 Sept 25, 2:15 pm

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Swing Trade Rating: 3.5

📊 Technical & Fundamental Analysis

✅ Strengths

MACD (0.61): Bullish crossover, indicating early momentum.

Price > DMA50 (₹38.7): Short-term trend support confirmed.

PEG Ratio (0.81): Fairly valued relative to growth.

EPS (₹2.00) and Qtr Profit Var (+75.6%): Strong earnings rebound.

P/E (20.3): Elevated vs. industry PE (7.91), but justified by growth.

Volume near Avg Vol: Stable participation.

⚠️ Risks

Price < DMA200 (₹42.4): Long-term trend still under pressure.

RSI (62.1): Approaching overbought zone—watch for short-term pullback.

ROCE (5.95%) / ROE (11.0%): Moderate capital efficiency.

Debt-to-Equity (11.0): Very high leverage—typical for PSU banks but worth monitoring.

FII & DII Holding ↓: Mild institutional outflow.

Dividend Yield: 0.00%: No yield cushion.

52w Index (25.0%): Weak relative strength—far from yearly high.

🎯 Optimal Entry Price

Buy Zone: ₹38.0–₹39.0

A pullback near DMA50 offers better margin of safety.

Entry should be confirmed with MACD sustainment and RSI push above 65.

🚪 Exit Strategy (If Already Holding)

Target Exit: ₹43.5–₹45.0

Resistance zone near DMA200 with ~8–12% swing potential.

Stop Loss: ₹36.5

Below recent support and pre-breakout levels; protects against downside risk.

If you’d like, I can scan for other PSU banking setups with stronger ROE and MACD alignment, or build a dynamic exit matrix tailored to your current swing basket. Just say the word.

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