ARFINArfin India Limited
Metals · Aluminum · NSE · as of 2026-09-11 (delayed ~30 min in market hours)
Arfin India Limited manufactures and trades in ferrous and non-ferrous metals in India. Its products include aluminum wire rods, cored wired products, ferro alloys, and aluminum alloys ingots. The company also provides barium, calcium, cerium, strontium, ferro silicon magnesium, nickle magnesium, and ferro silicon zirconium inoculant products; aluminum deox products, shots, cubes, and notch bars; and conductors and cables. In addition, it offers copper, brass, and aluminum scrap products; and hast alloys, iconel alloys, incoly alloys, and others. It serves automobile, electrical, packaging, infrastructure, and renewable energy industries. The company also exports its products. Arfin India Limited was incorporated in 1992 and is based in Gandhinagar, India.
Price & Volume
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Key Ratios
“—” means the figure isn't meaningful or isn't published for this company: ROE and Debt/Equity are undefined when shareholder equity is negative (check P/B — negative means negative equity), and DII/MF holding splits aren't provided by our current data source.
Active Pattern Signals
None of the 16 pattern scanners currently detects a setup on ARFIN — signals appear here automatically when one forms (checked on every data refresh). The Trade Plan on the right always provides stop-loss and target levels regardless.
The picture
- • Revenue growth: 95.5% YoY
- • Profit growth: 300.0% YoY
- • Debt/Equity: 0.76
- • MACD: bullish
- • Price vs SMA200: above
- • Golden cross setup: SMA50 above SMA200
Bull case
- • Revenue growth: 95.5% YoY
- • Profit growth: 300.0% YoY
- • Debt/Equity: 0.76
- • MACD: bullish
Bear case
- • ROE: 9.1%
- • Valuation vs sector: P/E 78.2 vs sector 21.6
- • Price vs EMA21: below
- • Price vs SMA50: below
Key risks
- • ROE: 9.1%
- • Valuation vs sector: P/E 78.2 vs sector 21.6
Algorithmic analysis for research only — not SEBI-registered investment advice.
Trade Plan
Stop = 20-day support with a 2.5×ATR risk cap (ATR ₹3.82). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.