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Lighting up your Diwali! Cupid, HFCL, Sterlite Tech, MTAR: 10 multibagger stocks that soared over 150% in Samvat 2082

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⚡ Instant Key Takeaways (TL;DR)
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Core Development: Lighting up your Diwali! Cupid, HFCL, Sterlite Tech, MTAR: 10 multibagger stocks that soared over 150% in Samvat 2082
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Market & Financial Impact: Indian equities fell during Samvat 2082 amid foreign outflows, geopolitical tensions and higher crude prices, but 16 Nifty 500 stocks gained more than 100%. Cupid and Sterlite Technologies led with returns of 570% and 556%. 
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Actionable Insight: 🟢 Bullish Trigger: Positive business expansion or earnings beat may attract institutional and retail buying.

Samvat 2082: Indian stock markets witnessed a challenging Samvat 2082, with benchmark indices declining amid sustained foreign institutional investor (FII) selling, geopolitical tensions, rising crude oil prices following the West Asia conflict and capital outflows triggered by higher US bond yields. The Sensex declined 7.9% during the Samvat, while the Nifty 50 fell 6.8%, according to data as of November 4.

However, the correction in benchmark indices did not prevent several individual stocks from delivering exceptional returns.

As many as 10 stocks from the Nifty 500 universe surged over 150% Samvat 2082, with Cupid and Sterlite Technologies leading the rally with gains of 570% and 556%, respectively. Their performance stood out against the broader market weakness, highlighting the significant divergence in stock-specific returns during the year.

PL Capital described Samvat 2082 as one of the most volatile years in recent times, with the Nifty testing the 22,300 support level twice in the preceding six months.

"Samvat 2082 will go down as one of the most volatile years in the recent past with Nifty testing 22300 support for two times in the past 6 months. The past 12 months have been marked by extreme geopolitical uncertainty," PL Capital said.

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Official Publisher Attribution: This report is aggregated from LiveMint. ZeroLive provides live aggregation, automated sentiment synthesis, and exchange disclosure monitoring for retail market participants.
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