AMZNON (Ondo Amazon Tokenized Stock) 24-hour amplitude at 95.7%: Bitget Listing and AWS Revenue Forecast Upgrade Trigger Movement
Bitget Pulse2026/03/18 12:03Volatility Overview
In the past 24 hours, AMZNON price rebounded from a low of $110 to a high of $215.21, currently quoted at $215.11, with a fluctuation range of 95.7%. According to CoinGecko and CoinMarketCap data, the 24-hour price range on major platforms is $210.03-$215.81, with an increase of around 2.1%-2.34%. Trading volume reached $3.47-$4.12 million, up 20.5% from the previous day, with liquidity mainly concentrated on Ondo Global Markets, Gate, and other exchanges.
Brief Analysis of Unusual Movement
- Bitget exchange listed 15 Ondo stocks and ETF tokens, including AMZNON, on March 17, 2026, supporting deposits and withdrawals, which triggered active trading and capital inflows.
- Amazon CEO Andy Jassy stated on March 17 that AI demand will drive AWS annual revenue to $600 billion by 2036, doubling previous expectations, pushing up the prices of Amazon-related assets.
No significant on-chain whale transfers or official announcements were recorded in the past 24 hours.
Market Views and Outlook
According to X community scans, AMZNON has repeatedly ranked first in the 15-minute bull trend list, and sentiment is optimistic. Bitget promotions emphasize seamless connectivity with U.S. tech giants, and the community regards this as an RWA opportunity. Future trends may follow Amazon's stock performance and the RWA sector's popularity; attention should be paid to trading volume sustainability and liquidity risk.
Note: This analysis is automatically generated by AI based on public data and on-chain monitoring, for information reference only.Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
CFTC Prepares U.S. Market for Mass Tokenization and Round-the-Clock Trading

General Motors stock rallies 2.56%, yet momentum stays stuck below key EMAs

Seven UK banks complete live tokenized sterling deposit transactions
Small models "steal" demand for cloud computing power, trillion-dollar data center capital expenditure faces a test
A Jefferies report points out that improvements in small language model performance and declining costs may lead enterprises to shift AI deployment from the cloud to localized solutions, impacting investments in hyperscale data centers. With falling server utilization rates and a mismatch between the massive capital expenditures of tech giants and actual computing power demand, some data centers risk becoming "stranded assets." Although AI demand persists, the scale and returns of centralized computing power are facing reassessment.