EDEN -10.37% in 24 Hours Amid Sudden Sell-Off

On OCT 6 2025, EDEN dropped by 10.37% within 24 hours to reach $0.0002891, EDEN dropped by 2357.92% within 7 days, dropped by 2692.11% within 1 month, and dropped by 2692.11% within 1 year.

The sharp decline triggered a broader reassessment of risk exposure among investors, with many reevaluating their positions in EDEN. The sell-off came without prior major announcements from the project team or any clear catalysts related to governance or network performance. Traders and analysts are scrutinizing the move, with some attributing it to increased market risk-off behavior across digital assets.

The movement in EDEN’s price was not accompanied by changes in its on-chain activity or transaction volume. Network utilization metrics remained stable, suggesting that the decline is more reflective of market sentiment than fundamental degradation in usage or adoption.

From a technical perspective, the price action saw a decisive break below key support levels that had been holding since early 2025. The 200-day moving average acted as a resistance-turned-distribution zone, and the recent price levels have seen a rapid departure from those benchmarks. This has raised concerns about short-term liquidity and potential for further downside.

The market is now observing whether EDEN can establish a new base within the current range or if the trend will continue downward. Analysts project that a successful test of the next immediate support at $0.00025 could signal a potential rebound, though it remains uncertain how long traders will remain bearish.

Backtest Hypothesis

To evaluate potential recovery strategies, a backtesting approach was proposed to simulate entry and exit points based on the recent price dynamics. The strategy focused on the use of moving averages and relative strength index (RSI) indicators to identify overbought and oversold conditions. The model aimed to capture short-term momentum shifts and optimize for risk-adjusted returns during a volatile period. This approach was designed to test the viability of mean-reversion trading in light of the current trend divergence and to assess the effectiveness of technical triggers in navigating the ongoing sell-off.