WLFI -1468.95% in 1 Year Due to Long-Term Decline

Generado por agente de IAAinvest Crypto Movers Radar
martes, 23 de septiembre de 2025, 12:30 pm ET1 min de lectura

On SEP 23 2025, WLFI dropped by 612.63% within 24 hours to reach $0.1986, WLFI dropped by 953.68% within 7 days, dropped by 1468.95% within 1 month, and dropped by 1468.95% within 1 year.

WLFI has shown a dramatic and sustained decline in value across multiple timeframes, with the sharpest drops occurring in the 24-hour and 7-day periods. The asset’s long-term trajectory remains significantly bearish, as the 1-year cumulative drop mirrors the 1-month decline in percentage terms, signaling an ongoing structural downturn.

Technical indicators suggest a continuation of the downward trend, with key support levels repeatedly broken and no signs of a reversal pattern forming. Traders and investors are observing a lack of volume-based conviction in potential bounce attempts, reinforcing the perception of a weak market structure for WLFI.

Backtest Hypothesis

A proposed backtesting strategy evaluates the asset's behavior under a set of defined conditions based on historical price data. The strategy is built around the use of moving averages and RSI as core technical indicators to identify potential entry and exit points. The approach aims to capture short-term price reversals within the context of a broader downtrend, leveraging the volatility seen in the 24-hour and 7-day periods.

The backtest design involves entering a position when the RSI falls below 30—a potential oversold condition—while the 50-period moving average crosses above the 200-period line, suggesting a short-term reversal. A sell signal is generated when the RSI rises above 70 or when the 50-period moving average crosses below the 200-period line, signaling a return to the downtrend.

This strategy is intended to be applied to historical WLFI data to assess its effectiveness in a live trading environment. Given the asset's consistent decline, the backtest will also measure the strategy’s ability to minimize losses and capture limited upside during brief rebounds. The performance metrics will include total return, maximum drawdown, and win/loss ratio to provide a comprehensive view of the strategy's viability.

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