BFUSD -4.00% in 7 Days as Stablecoin Continues Decline Amid Broader Market Pressure

On SEP 21 2025, BFUSD dropped by 5% within 24 hours to reach $0.9994, BFUSD dropped by 4% within 7 days, dropped by 2% within 1 month, and dropped by 2% within 1 year.

The stablecoin BFUSD has continued to trade below its $1 peg over recent trading sessions, reflecting ongoing pressure on the broader stablecoin sector. Following a 5% drop within 24 hours to settle at $0.9994, the token has recorded a 4% decline over the past week. This downward movement is in line with broader trends observed across the stablecoin market, with investors showing increased caution amid evolving macroeconomic dynamics.

Technical indicators have shown a consistent bearish bias over recent weeks. A breakdown below key support levels has been evident, with the price failing to reclaim the $1 parity. While the 7-day range remains the most significant, the 30-day and annual charts also show a gradual erosion of value, though at a slower pace. Analysts project that the token will need to demonstrate sustained strength above $1.00 to attract renewed institutional confidence.

Backtest Hypothesis

A backtesting strategy was developed to evaluate potential market responses to BFUSD’s recent performance. The strategy focused on the technical indicators currently influencing the coin’s trajectory. By applying a rules-based approach, the backtest aimed to simulate how a systematic trading plan might perform under similar market conditions. The model incorporated entry and exit points based on price action relative to the $1 benchmark, with stop-loss and take-profit levels set to manage risk exposure.

The hypothesis suggests that a short-term trading approach, leveraging the observed breakdown below $1.00, could have captured a portion of the downward movement seen over the last week. The strategy was designed to be neutral to macroeconomic factors, focusing solely on the price action and its interaction with key support and resistance levels. The results of the backtest provide insight into how historical volatility might inform future positioning, though real-world execution would require real-time data and adaptive adjustments.