ZEN +21.82% After 24-Hour Rally Amid Volatility

Zenvia (ZEN) surged 21.82% in the 24 hours to August 30, 2025, reaching $7.848. This follows a period marked by sharp volatility: the token fell 48.75% in seven days and 733.92% over one month. Despite the recent gain, ZEN remains significantly lower than its one-year price, which declined by 7466.21%.

The 24-hour rebound appears to have been driven by a short-term correction after extended bearish pressure. Analysts project the price could consolidate near its current level if buyers re-enter the market. However, the broader context remains bearish, with no indication of a reversal in the multi-month downtrend. The price action suggests traders are testing support levels, with $7.848 representing a potential near-term floor.

The recent move follows a sharp correction from its most recent high, where ZEN traded above $10 in early August. The pullback has drawn attention from both retail and algorithmic traders. Technical indicators such as RSI and MACD have been flashing overbought and bearish signals in recent weeks, suggesting that momentum has been on the side of sellers. The recent 21.82% rise, while significant in the short term, has not yet triggered a shift in the dominant trend.

ZEN’s price behavior highlights the importance of timing and risk management in volatile environments. While the 24-hour gain offers a temporary reprieve, the broader trend remains intact. Traders are closely watching for confirmation of a trend reversal, which would require sustained movement above key resistance levels.

Backtest Hypothesis
Given ZEN’s recent 21.82% gain, a backtest examining performance following similar one-day price surges could provide valuable insight into its behavior post-rally. The strategy under evaluation involves entering the market at the next day’s open after a surge of ≥5%. Holding for five trading days and exiting at the close of the fifth day is recommended as a standard approach. This setup allows for sufficient time to assess the sustainability of the move while limiting exposure to longer-term volatility.

Optional risk controls such as a stop-loss or take-profit can be added, but the baseline approach assumes no additional parameters. This method aligns with typical event-study frameworks and enables a clear assessment of post-rally performance. If executed, the backtest will provide data on the average return and volatility following similar price jumps, offering a data-driven perspective on the potential for continuation or reversal.