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BFUSD slips by 0.02% as market pressures persist

BFUSD slips by 0.02% as market pressures persist

Bitget-RWA2025/09/25 09:50
By:CryptoPulse Alert

- BFUSD fell to $0.9998 on Sep 25, 2025, marking a 4% weekly decline amid broader stablecoin market pressures. - Persistent dollar parity challenges persist despite liquidity initiatives, driven by macroeconomic factors and shifting investor demand. - Technical indicators show oversold RSI and negative MACD, signaling continued bearish momentum without demand recovery. - Backtesting strategies using historical data and technical indicators aim to evaluate trading signals under varying market conditions.

BFUSD, a stablecoin tied to the U.S. dollar, slipped slightly on SEP 25, 2025, finishing at $0.9998 with no change over the last 24 hours. In the previous week, the token dropped by 4%, with an additional 1% decrease over the past month and another 1% decline year-over-year. The price

points to wider market forces affecting both stablecoins and tokenized assets.

Despite the introduction of new liquidity programs designed to strengthen its peg, the stablecoin has struggled to consistently maintain its one-dollar value. Analysts have observed that while short-term prices remain relatively steady, the longer-term pattern indicates a fundamental change in demand. This shift is largely attributed to broader economic trends impacting digital assets, such as changes in interest rates and evolving investor strategies.

Technical analysis continues to signal a negative trend for

. The Relative Strength Index (RSI) has entered oversold levels, which could signal a short-lived recovery, but the moving average convergence divergence (MACD) indicator remains in negative territory, pointing to ongoing downward pressure. Experts believe that unless there is a notable rise in demand or additional liquidity measures, the coin is likely to stay under strain.

Utilizing a backtesting strategy provides a systematic way to analyze possible results using past price movements and established criteria. This technique is especially valuable for evaluating the effectiveness of various trading signals and timing strategies across different market scenarios. In this instance, the backtesting process applies technical tools—such as moving averages and RSI—to generate simulated buy and sell signals over historical data.

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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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