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DeFiChain Explains How Amazon Split Affects Its dAMZN Tokens

Fri, 06/10/2022 - 15:46
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Vladislav Sopov
American tech giant Amazon underwent stock split event; DeFiChain platform introduces novel procedures for dAMZN tokens
DeFiChain Explains How Amazon Split Affects Its dAMZN Tokens
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Some major stock emitents are organizing a token split to introduce their assets to retail investors with low deposits. Here's how it affects tokenized clones of these stocks issued on blockchains.

AMZN shares underwent 1:20 split

According to the official announcement shared by the team of DeFiChain, a leading tokenized stocks trading platform, its Amazon-pegged assets (dAMZN) will be affected by the Amazon split.

Just like its underlying asset, AMZN, dAMZN tokens will be split in a 1:20 proportion. As such, 1 "old" dAMZN token is equivalent to 20 "new" dAMZN tokens.

The peg to underlying asset is still guaranteed by the architecture of decentralized oracles. It protects users from price spikes and forced liquidations.

Every DeFiChain client that holds 50% of its core native asset DFI and 50% of other cryptocurrencies can mint dAMZN tokens, while other crypto holders can do so with DeFiChain's decentralized stablecoin, dUSD.

More fractionalized token-shares for DeFiChain clients

The split was organized in two steps: DeFiChain locked all existing dAMZN tokens following the cues of the stock market. Then, as market operations were restarted, people received "new tokens."

This is not the only fractionalized token avaliable for DefiChain clients: they also can buy 1:10 of Tesla (TSLA) stock as dTSLA instead of purchasing entire stock.

DeFiChain Adds New Tokens Associated with MicroStrategy, Intel, Walt Disney

As covered by U.Today previously, DeFiChain recently integrated tokens associated with Walt Disney, iShares MSCI China ETF, MicroStrategy Incorporated and Intel Corporation stocks.

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About the author

Blockchain Analyst & Writer with scientific background. 6+ years in IT-analytics, 3+ years in blockchain.

Worked in independent analysis as well as in start-ups (, Monoreto, Attic Lab etc.)