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USDE drops 3.99% over 24 hours as market experiences turbulence

USDE drops 3.99% over 24 hours as market experiences turbulence

Bitget-RWA2025/09/23 16:38
By:CryptoPulse Alert

- USDE fell 3.99% in 24 hours, breaking its $1 peg despite 5% gains over 1 month and 1 year. - Technical indicators show conflicting signals: oversold RSI vs. bearish MACD, but bullish long-term moving averages. - A backtesting strategy using RSI/MACD crossovers aims to manage volatility through 7-day rebalancing and 2% stop-loss. - Analysts warn of potential short-term corrections if USDE fails to reestablish its peg within 48 hours.

On September 23, 2025,

experienced a 3.99% decrease over the past 24 hours, settling at $1.0015. Over the previous 7 days, USDE increased by 2%, and it also saw a 5% rise both in the past month and over the last year.

According to market experts, USDE displayed heightened short-term price swings in the last day, briefly falling below its dollar peg. This drop came after a steady period of growth in the preceding month and year, with the token achieving 5% gains. The pronounced decline in a single day stands in contrast to its recent positive momentum, prompting concerns about market structure and liquidity stress. While USDE has demonstrated durability, the latest downturn points to possible short-term volatility.

Technical analysis reveals a challenging environment for USDE. The relative strength index (RSI) indicates oversold conditions, and the moving average convergence divergence (MACD) is currently bearish. Despite this, the 50-day and 200-day moving averages remain bullish, supporting a longer-term upward outlook. Experts believe that if USDE can regain its peg within the next two days, its overall upward trend could continue. Conversely, if the current price level does not hold, additional short-term declines may occur.

The backtesting method reviews how USDE has historically reacted to similar periods of volatility and market shifts. Using a systematic approach based on RSI and MACD signals, the strategy seeks to pinpoint optimal entry and exit moments during brief corrections. The model is structured to rebalance every week and applies a fixed 2% stop-loss to control risk. Its effectiveness is compared to a fixed income benchmark and takes into account the liquidity limitations common in stablecoin trading.

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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.

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