MBL -110.4% in 1 Month as On-Chain Activity and Liquidity Deteriorate

On SEP 6 2025, MBL dropped by 27.83% within 24 hours to reach $0.00215, MBL dropped by 55.5% within 7 days, dropped by 110.4% within 1 month, and dropped by 3612.6% within 1 year.

Market participants are closely analyzing the deteriorating on-chain metrics and liquidity conditions for MBL. Recent chain data indicates a decline in active addresses and token velocity, suggesting a loss of network activity and user engagement. In addition, a notable outflow from key liquidity pools has been recorded over the past two weeks, raising concerns over potential capital flight and reduced market depth. These on-chain signals align with the recent sharp price depreciation, reinforcing the narrative of waning confidence in the asset.

The technical indicators for MBL suggest a bearish bias, with multiple tools showing exhaustion in the market. The Relative Strength Index (RSI) has dropped below 30, signaling oversold conditions. Meanwhile, the Moving Average Convergence Divergence (MACD) histogram has turned negative, with the MACD line crossing below the signal line—another bearish development. Additionally, the 50-day and 200-day moving averages have both crossed below key support levels, indicating a breakdown in short- and long-term trend lines. These signals collectively support the continuation of downward price action in the absence of significant bullish catalysts.

The backtesting hypothesis for MBL incorporates the observed on-chain and technical conditions into a strategic framework for evaluating potential market behavior. The hypothesis is based on the assumption that the observed technical breakdown and on-chain inactivity will persist in the near term. A backtesting strategy has been developed that uses the RSI and moving average crossover as primary triggers for exits and entries. The RSI level is used to identify overbought or oversold conditions, while the moving average crossover helps confirm the direction of the trend. This combination is intended to filter out false signals and align with the broader bearish context. The strategy also includes a stop-loss mechanism set at 10% below the entry price to limit downside risk.