LINEA -4652.78% in 24 Hours Amid Sharp Technical Downtrend and Liquidity Concerns

On OCT 10 2025, LINEA dropped by 4652.78% within 24 hours to reach $0.4883, LINEA dropped by 4927.9% within 7 days, dropped by 4690.15% within 1 month, and dropped by 4044.73% within 1 year.

A sharp technical breakdown is evident in LINEA’s price action, as the asset failed to hold above key support levels, triggering a cascade of sell-offs. The recent 4652.78% 24-hour decline has drawn attention from traders and technical analysts, who are tracking the asset’s collapse with a mix of alarm and curiosity. This rapid depreciation has pushed LINEA far below previously stable resistance levels, with no immediate signs of a reversal in sight.

The asset’s prolonged bearish momentum is reflected in its weekly and monthly performance metrics. The 4927.9% and 4690.15% declines over the past week and month, respectively, underscore a broader systemic issue with its liquidity and investor sentiment. While the daily drop is the most severe, the sustained trend indicates a deeper structural weakness, likely driven by a combination of market psychology, algorithmic trading pressures, and a lack of fundamental underpinnings to support its valuation.

Technical indicators paint a grim picture for LINEA’s near-term outlook. The Relative Strength Index (RSI) is in extreme oversold territory, signaling a potential exhaustion of the selling wave. However, this does not guarantee a rebound, as extreme RSI readings can persist in collapsing markets. The Moving Average Convergence Divergence (MACD) remains deeply negative, reinforcing bearish momentum. The asset is also trading well below all major moving averages, including the 20, 50, and 200-period lines, indicating a strong downtrend with no immediate reversal cues.

Backtest Hypothesis

Given the extreme volatility and technical deterioration observed in LINEA’s recent performance, a backtesting strategy was devised to simulate a purely technical approach to the asset. The strategy is built on the assumption that a breakdown in key support levels could trigger further downward momentum. Triggers are based on a combination of price action and RSI divergence, with stop-loss and take-profit levels calculated using Fibonacci retracement levels. The hypothesis explores whether a purely algorithmic response to technical signals could have mitigated or capitalized on the asset’s rapid depreciation. This approach is intended to isolate the impact of technical trading behavior without external market fundamentals or news events.