XLINKS SLVR SHRS COVRD CALL Equity-NMS: SLVO

$80.85 0.22 (December 11, 2024)

-

-

Buy/Sell an entire stock
or a fraction.
Powered by Vested Vested

Already an existing customer?

New User?

Open Your Free Demat Account And Start Trading Seamlessly
Loading, Please wait...
Error in Fetching Data, Please retry later.
No data available.
Previous close :$80.63
Open :$80.97
Today's high :$81.49
Today's low :$80.37
52W low :$58.052
52W high :$83.2308
1Y :13.95%
5Y :-40.22%

Compare with Other ETFs

Frequently Asked Questions

What is XLINKS SLVR SHRS COVRD CALL (SLVO) price today?

The XLINKS SLVR SHRS COVRD CALL (SLVO) share price as of December 10, 2024 is $80.85. If you are investing from India, you can check the value in INR before investing.

Can I buy XLINKS SLVR SHRS COVRD CALL (SLVO) shares?

Yes, Indian investors can buy XLINKS SLVR SHRS COVRD CALL (SLVO) in the US stock market by opening an International Trading Account with Angel One.

How to buy XLINKS SLVR SHRS COVRD CALL (SLVO) Shares in India?

Indian investors can buy XLINKS SLVR SHRS COVRD CALL (SLVO) through the following modes:
  1. Direct investment: One can invest through opening an International Trading Account with Angel One. Once account is opened, you can add funds in U.S. dollars to buy XLINKS SLVR SHRS COVRD CALL (SLVO).
  2. Indirect investment: One can invest indirectly in XLINKS SLVR SHRS COVRD CALL (SLVO) through mutual funds and Exchange Traded Funds (ETFs) that offer exposure to global stocks.

Can I buy Fractional shares of XLINKS SLVR SHRS COVRD CALL (SLVO)?

Yes, you can buy a fraction of XLINKS SLVR SHRS COVRD CALL (SLVO). In Angel One, you can buy global stocks for any dollar value.

About XLINKS SLVR SHRS COVRD CALL

The Credit Suisse X-Links Silver Shares Covered Call ETN is an exchange-traded note issued in the USA. The ETN tracks the return of a covered call strategy on the iShares Silver Trust ETF. The ETN pays a monthly variable coupon based on the notional option premiums received from the notional sale of covered calls within the reference index.