DODO Up 2.11% on Nov 12 2025 Amid Year-Long Downtrend

On Nov 12, 2025, DODO rose by 2.11% within 24 hours to reach $0.029. Despite this short-term rebound, the token remains in a bearish trend, having dropped by 3.32% in the past week and 80.93% over the past year. While the monthly price movement is flat, the broader context remains negative, with investors closely watching market events that might spark a reversal.

The price correction has sparked renewed discussions among crypto analysts about whether DODO has hit a critical support level, potentially signaling a turning point. The token’s one-day gain is modest but is seen as a positive sign in an otherwise challenging environment, with traders watching for further strength or a breakdown of key levels in the coming sessions.

Technical indicators suggest DODO remains in a downtrend. The 50-day and 200-day moving averages are well above the current price, and the relative strength index (RSI) is hovering around 30, indicating potential oversold conditions. However, given the token's year-long drop of more than 80%, many traders are exercising caution, waiting for a broader market catalyst or a meaningful follow-through in buying activity before committing capital.

Backtest Hypothesis

To assess the significance of the recent DODO price movement, a focused backtest can be conducted based on the unique combination of a sharp one-day gain and a prolonged annual decline. The strategy would look to identify historical instances where a given asset simultaneously experienced a 1-year price return of less than or equal to -80.93% and a same-day close-to-close return of at least +2.11%. This dual condition would serve as a trigger point for the backtest, helping to evaluate whether such an event has historically led to a reversal or continued bearish momentum.

The strategy is designed to test whether the price action observed in DODO on Nov 12, 2025, represents a potential turning point or is more likely part of a continuation pattern. By analyzing multiple tickers over the last three years, the backtest can help determine the statistical probability of post-event price behavior and whether similar conditions in the past led to profitable outcomes for traders.