HUMA Drops 544.44% in 24 Hours Amid Sharp Short-Term Volatility

On AUG 29 2025, HUMA dropped by 544.44% within 24 hours to reach $0.02539, marking a dramatic price correction that continued a broader trend of steep declines. The stock has dropped by 1083.43% over the past week and 2904.78% in the last month, reflecting an extended bearish trajectory. However, over the past year, HUMA has seen a significant rebound of 13620%, highlighting the extreme volatility inherent in the stock.

The recent sharp drop has sparked renewed scrutiny on HUMA's performance, particularly as it continues to trade at historically low levels after experiencing a massive one-year gain. The disparity between the long-term recovery and the recent rapid decline underscores the market’s shifting sentiment and potential reassessments of the stock’s fundamentals and future outlook.

HUMA’s price movements are closely aligned with technical indicators, including the MACD (Moving Average Convergence Divergence), which has historically served as a key signal for trend changes. Analysts project that divergences between price and the MACD line may indicate potential turning points in the stock’s trajectory. These signals have been the focus of recent backtesting efforts aimed at evaluating their predictive value in HUMA’s volatile trading environment.

Backtest Hypothesis

A backtest of the “MACD Bottom Divergence” strategy was conducted on HUMA over the period from 2022-01-01 to 2025-08-29. The strategy uses daily closing prices and automatically closes any open position after 30 calendar days if no other exit signal is triggered. No stop-loss or take-profit thresholds were applied in this version, allowing the strategy to operate under a neutral risk framework. The goal was to assess the performance of positions initiated based on detected bottom divergences in the MACD indicator.

The results of the backtest were analyzed using trade logs and performance statistics to evaluate the strategy’s viability. Key parameters such as holding period and signal sensitivity were left unadjusted in this initial phase, with further refinements planned for future iterations. The findings aim to offer insight into the historical effectiveness of technical signals in navigating HUMA’s high-volatility environment.