MCLOUDMagellanic Cloud Limited
IT · Information Technology Services · NSE · as of 2026-10-26 (delayed ~30 min in market hours)
Magellanic Cloud Limited, an IT service organization, provides a robust portfolio of cutting-edge digital and IT-enabled services. The company offers software development, cloud computing solutions, cybersecurity services, enterprise IT consultancy, managed services, and digital transformation. The company also offers product engineering, product development, quality assurance, DevOps, data analytics, multi-cloud and DevOps automation, process automation, drone solutions, e-security and surveillance, enterprise security, and human capital solutions. Magellanic Cloud Limited was formerly known as South India Projects Limited. The company was incorporated in 1981 and is based in Hyderabad, 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 MCLOUD — 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.
Why avoid
- • Overall evidence is weak (AlgoScore 28/100)
- • Profit growth: -14.9% YoY
- • Dividend yield: 0.00%
- • RSI: 33
- • MACD: bearish
Bull case
- • ROE: 16.6%
- • ROCE: 16.9%
- • Debt/Equity: 0.43
- • Liquidity: ₹5.1 cr avg turnover
Bear case
- • Profit growth: -14.9% YoY
- • Dividend yield: 0.00%
- • RSI: 33
- • MACD: bearish
Key risks
- • Elevated volatility / drawdown profile — size positions accordingly
- • Momentum is fading versus the broader market
- • Profit growth: -14.9% YoY
- • Dividend yield: 0.00%
Algorithmic analysis for research only — not SEBI-registered investment advice.
Trade Plan
Stop = 20-day support with a 2.5×ATR risk cap (ATR ₹1.06). Levels recompute on every data refresh. Position sizing and execution are yours — this is analysis, not advice.