LAYER -117.46% 24H Drop Amid Sharp Short-Term Price Decline

On AUG 29 2025, LAYER dropped by 117.46% within 24 hours to reach $0.5435, LAYER dropped by 208.08% within 7 days, dropped by 1016.02% within 1 month, and rose by 17765% within 1 year.

The recent 24-hour price collapse in LAYER reflects a sharp correction that has intensified market scrutiny. The drop follows a series of declining trends over the past week and month, suggesting a bearish phase may have taken hold. Investors and traders are now evaluating the fundamentals and technical indicators to assess whether this represents a cyclical downturn or the beginning of a broader bear market phase.

The 7-day and 1-month declines further underscore a severe bearish momentum. The 1-month drop of over 1,000% indicates a sustained sell-off, likely driven by market sentiment, liquidity conditions, and potential underlying project or industry-specific concerns. Analysts project that continued selling pressure could persist if key support levels are not held, particularly as the asset faces a critical juncture in its price trajectory.

From a technical perspective, the asset’s chart has seen a breakdown in key resistance levels, with indicators like the RSI and MACD signaling overbought exhaustion has been replaced by a strong bearish divergence. The price has also fallen below important moving averages, including the 50-day and 200-day, deepening the bearish case. Traders are now watching for signs of a potential bounce or a further deterioration in the trend.

A backtesting strategy has been proposed to evaluate a potential trading hypothesis based on LAYER’s historical price data. However, this strategy requires confirmation of the exact trading symbol and asset classification to proceed with data retrieval and analysis. The backtest is intended to assess the performance of a 15% rise-based entry and exit framework applied to LAYER between January 2022 and the present. The outcome of the backtest will depend on the availability and accuracy of the underlying price data.