DOGE Price Rises 1.49% Amid Whale Sales and ETF Speculation

Monday, Nov 10, 2025 12:07 am ET1min read
DOGE--
MMT--
Aime RobotAime Summary

- DOGEDOGE-- rose 1.49% in 24 hours amid whale sales of 3B tokens, signaling mixed market sentiment.

- Speculation grows over Bitwise DOGE ETF approval, which could boost institutional interest if approved.

- Technical indicators show resistance near 2025 highs and overbought conditions, hinting at possible short-term pullbacks.

- Backtesting challenges highlight data gaps, urging structured strategies for evaluating DOGE’s performance.

On NOV 10 2025, DOGEDOGE-- rose by 1.49% within 24 hours to reach $0.1814, DOGE rose by 8.85% within 7 days, dropped by 2.39% within 1 month, and dropped by 42.41% within 1 year.

Large investors, or whales, have sold over 3 billion DOGE in the last month, signaling shifting sentiment in the market. This outflow contrasts with recent price movements that suggest a mixed but not entirely bearish technical outlook. While the 7-day rise of 8.85% is encouraging, the 42.41% drop over the past year underscores the challenges that the cryptocurrency faces in maintaining consistent upward momentumMMT--.

Meanwhile, speculation is mounting over the potential approval of the Bitwise DOGE ETF, with analysts suggesting that regulatory clarity could bring renewed institutional interest. This could be a key driver for long-term appreciation if the fund is successfully launched, although such outcomes remain speculative and should not be conflated with confirmed market moves.

From a technical perspective, DOGE is currently encountering significant resistance, despite the 9% weekly surge. The asset has failed to break past key levels seen in early 2025, and traders are monitoring volume and order-book dynamics for signs of a potential reversal. Chart indicators, including the RSI and MACD, suggest that overbought conditions are developing, which could trigger a pullback in the near term.

Backtest Hypothesis

A recent attempt to evaluate DOGE’s performance using a simple buy-and-hold strategy from 2022-01-01 to the current date failed due to incomplete price data. This highlights the necessity of a more structured approach when testing event-driven strategies. For instance, one could define a specific trigger such as a trailing 1-year price drop of at least -42.41%—mirroring the asset’s annual decline—followed by a defined action (buy or short) and a fixed or dynamic exit rule. This approach would allow a more accurate assessment of how DOGE behaves in response to historically significant price corrections and could provide insights into optimal entry and exit strategies for investors.

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