XPL -5206.54% in 7 Days Amid Sharp Market Retreat

On OCT 12 2025, XPL dropped by 33.22% within 24 hours to reach $0.4492, XPL dropped by 5106.54% within 7 days, dropped by 5572.06% within 1 month, and dropped by 6476.16% within 1 year.

The token experienced an abrupt and severe decline, with its value eroding significantly across multiple timeframes. This movement has prompted heightened scrutiny from observers and analysts alike, as the drop appears to represent a continuation of a long-term bearish trend. Investors who had previously held XPL are now scrambling to reassess their positions in the face of this dramatic depreciation.

Market analysts have noted that the drop seems to be part of a broader technical pattern that has seen XPL struggle to regain traction following a series of prior declines. The token has failed to break above key resistance levels, reinforcing the bearish momentum. In the absence of clear bullish catalysts or significant on-chain activity, the downward trajectory has continued without signs of reversal.

Technical analysts have focused on indicators such as moving averages and RSI levels to interpret XPL’s behavior. These tools suggest that the token is entrenched in a strong downtrend, with price failing to close above critical moving averages. The RSI reading has also remained in oversold territory for extended periods, indicating a lack of buying interest and continued pressure on short-term liquidity.

Backtest Hypothesis

To evaluate potential performance under historical conditions, a strategy has been proposed that incorporates key technical indicators used in the analysis of XPL’s movement. The backtesting hypothesis involves using a combination of moving average crossovers and RSI levels to generate buy and sell signals. The aim is to determine whether a systematic approach based on these indicators could have generated profit or mitigated losses during the period of decline. This strategy would involve entering long positions when the short-term moving average crosses above the long-term average, coupled with a RSI reading above 30 to confirm a potential bounce. Conversely, positions would be exited when the moving average trend reverses or RSI approaches overbought territory. The results of such a strategy, once tested against historical data, could provide valuable insight into the viability of a rule-based approach to managing exposure to XPL.