WAL -749.58% in 1 Year Due to Sharp Short-Term Decline
On OCT 12 2025, WALWAL-- dropped by 40.56% within 24 hours to reach $0.2209. Over the past seven days, the token has seen a dramatic decline of 749.58%. This trend has continued over a one-month and one-year horizon, with the same percentage drop recorded in both periods. The sudden and prolonged drop has raised concerns among investors and triggered a broader reassessment of the token’s fundamental and technical outlook.
The recent price action reflects a sharp divergence from earlier price levels, with WAL now trading at a historically low price. The token has failed to hold above $0.25 for the past week, and key support levels have been repeatedly breached. Investors have reported increased bearish sentiment, with many closing long positions and shifting capital to more stable assets.
From a technical perspective, WAL has entered a strong downtrend characterized by lower highs and lower lows. Indicators such as the 50- and 200-day moving averages have both moved lower, reinforcing the bearish bias. The RSI has been in oversold territory for several days, yet the price has continued to decline, suggesting a lack of short-term buying interest. This divergence between price and indicators may indicate further downward pressure in the near term.
The Backtest Hypothesis section introduces a strategy aimed at evaluating potential trading signals using a set of defined technical indicators. The backtesting approach is designed to simulate performance over a historical time frame by applying the same rules that could be used in real-time trading. The core of the strategy includes the use of moving averages, RSI, and price action patterns to generate entry and exit signals.
The strategy assumes that a sell signal is generated when the price breaks below a critical support level confirmed by two consecutive closing candles. A stop-loss is placed above the most recent swing high, while a take-profit target is set at the nearest unbroken resistance level. The backtesting results are intended to evaluate the effectiveness of this approach in managing risk and capturing directional moves.

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