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Stock market muhurat trading date and time 2026 on Diwali day 8 Nov: MCX, Sensex, Nifty - What investors should know

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Core Development: Stock market muhurat trading date and time 2026 on Diwali day 8 Nov: MCX, Sensex, Nifty - What investors should know
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Market & Financial Impact: NSE and BSE will hold a special Diwali Muhurat trading session on Sunday, November 8, 2026, despite the holiday. The live session is scheduled for 2:20 pm to 3:15 pm, while MCX trading will run from 2:20 pm to 3:30 pm.
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Actionable Insight: Monitor price volume action at market open; check key technical support/resistance levels.

Stock market muhurat trading date and time 2026: Diwali is just a day away and it brings extra excitement for investors and traders eagerly awaiting the Diwali muhurat trading session. Although Diwali 2026 falls on Sunday, November 8, and is a national holiday, the Indian stock market will not remain shut on Sunday.

NSE and BSE will remain open for a special Diwali muhurat trading session on Sunday, November 8. The exchanges will remain closed on the coming Tuesday on account of Diwali-Balipratipada.

A special live trading session is scheduled for Sunday, November 8, on account of Muhurat trading on Diwali. It will start at 2:05 pm and conclude at 3:30 pm. In addition to live trading session, there will be block deal session between 1:50 pm and 2:05 pm.

Pre-open order entry session will start at 2:05 pm and conclude at 2:10 pm. The pre-market session will include order entry, modification and cancellation for both limit and market orders. It will be followed by preopen (order matching & trade confirmation period) between 2:15 pm and 2:17 pm. Next is the pre-open buffer period between 2:17 pm -2:20 pm.

The live Muhurat trading session will begin at 2:20 pm and close at 3:15 pm. Investors can buy or sell stocks during this period. The transition from closing trading session (CTS) to CAS will be from 3:15 pm to 3:20 pm.

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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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