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On AUG 31 2025,
dropped by 43.57% within 24 hours to reach $0.1514, EDU dropped by 804.83% within 7 days, rose by 1083.27% within 1 month, and dropped by 7392.05% within 1 year.The price trajectory of EDU reflects a pattern of extreme volatility, marked by sharp declines and rebounds over short periods. The 43.57% 24-hour drop is the latest in a sequence of dramatic movements, including a 804.83% drop over 7 days and a 1083.27% rise over one month. Such movements suggest heightened sensitivity to market sentiment, investor behavior, and liquidity conditions. Analysts have not issued projections tied to these movements, as the data reflects historical outcomes rather than forward-looking expectations.
The 7392.05% drop over one year underscores the long-term erosion of value in the stock, despite intermittent rebounds. This trend has not been attributed to any specific corporate events or fundamental changes in the company's operations as outlined in the provided information. The absence of external contextual factors such as regulatory shifts or business restructuring in the data suggests the volatility is primarily driven by market dynamics rather than company-specific developments.
A review of the technical indicators used in the recent volatility reveals no consistent directional bias in the broader market. The absence of trading volumes and futures data in the provided information limits the ability to assess the depth of these movements. However, the sheer magnitude of the drops and rebounds highlights the susceptibility of the stock to rapid capital shifts and possibly algorithmic trading patterns.
Backtest Hypothesis
The backtest strategy focuses on capturing event-driven price movements by identifying and reacting to daily returns of 10% or more in either direction. The time period from 2022-01-01 to 2025-08-31 includes all historical price drops and rebounds of EDU. The approach uses daily close prices to measure performance, ensuring the strategy reflects the end-of-day price realization. By treating all days with a daily return of ≤ –10% as events, the strategy aims to capture the volatility characteristics of EDU during downturns and potential rebounds.
This methodology aligns with the observed volatility pattern of EDU, particularly in capturing sharp declines like the 43.57% 24-hour drop. The backtest does not incorporate risk-control measures or alternative holding periods, which could affect the win rate and cumulative return outcomes. Further refinement could be pursued by adjusting the event threshold or incorporating stop-loss mechanisms. For now, the backtest provides a baseline for evaluating the stock's response to extreme price movements.
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