Overview
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Chart
- 1D
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Option Chain
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| CALLS | PUTS | |||
|---|---|---|---|---|
| Open Int (Change) | LTP | Strike Price | LTP | Open Int (Change) |
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SPOT Pivot Levels
| Type | Classic | Fibonacci |
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| R1 | - | - |
| R2 | - | - |
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| PP | - | - |
| S1 | - | - |
| S2 | - | - |
| S3 | - | - |
Index Constituent
ETF trading rules from 7 September: What changes for retail investors?
September 7, 2026 | 10 mins read
If there was no trade during the final 30 minutes on the previous day, the exchange will use that day’s last traded price. If there was no trade at all on the previous day, the latest available closing NAV will be used. The base price will also be adjusted for corporate actions, if applicable. From April 1, 2027, SEBI expects stock exchanges and mutual fund AMCs to use the previous day’s closing NAV as the base price after resolving operational issues.
How MSCI rebalancing tested India's Closing Auction System on August 31
September 2, 2026 | 10 mins read
India’s new Closing Auction Session (CAS) processed a record ₹39,718 crore turnover, on 31 August 2026 as MSCI India Index latest index rebalancing took effect at the market close. The event showed that CAS could handle an exceptional concentration of institutional flow. However, there were some sharp, and sometimes counterintuitive, stock moves. This shows that the quality of closing-price discovery is still being tested.
How Traders Use Maximum Drawdown to Manage Portfolio Risk?
August 19, 2026 | 11 mins read
When evaluating an investment or trading strategy, returns usually receive the most attention. However, returns alone do not tell investors how much risk was taken to achieve them. Two portfolios may deliver the same annual return, but one may have experienced far steeper losses during market downturns. This is where max drawdown becomes useful. It measures the largest decline in the value of a portfolio, trading account, or investment from its highest point to its lowest point before a new peak is reached. Instead of focusing only on profits, it shows the worst historical loss an investor would have experienced by staying invested.
