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Dogecoin Falls 5.1% to $0.0846 as RSI Hits 69.65 Near Overbought

August 29, 2026
01:28 AM
3 min read

Key Points

Dogecoin fell 5.1% to $0.0846 in 24 hours with no news catalyst.

RSI at 69.65 near overbought, ADX at 40.52 signals strong downtrend.

Volume surged 27.5% above average to 884.7 million, confirming sell-off conviction.

One-month forecast $0.11 (+30%), but 12-month forecast $0.0786 (-7.1%).

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Dogecoin USD fell 5.1% to $0.0846 in the past 24 hours, erasing earlier gains and closing near the day’s low. No single news event explains the move. The technical picture shows mixed signals: RSI sits at 69.65, near overbought territory, while ADX at 40.52 confirms a strong downtrend. Volume surged 27.5% above average at 884.7 million, suggesting conviction behind the sell-off.

Why Dogecoin dropped despite overbought signals

DOGEUSD opened at $0.0891 and slid to $0.0838 intraday before recovering slightly to close at $0.0846. The 5.1% decline marks the largest single-day loss in five days. Despite the drop, RSI remains elevated at 69.65, typically signaling overbought conditions that often precede pullbacks. This disconnect between price weakness and momentum strength suggests profit-taking after a recent rally.

Technical analysis shows strong downtrend with resistance ahead

ADX at 40.52 confirms a strong directional trend, reinforcing the sell-off’s conviction. Price sits below the 50-day moving average of $0.0740 but above the Bollinger Band lower support at $0.0600, leaving room for further downside. CCI at 88.97 and Stochastic %K at 71.57 both signal overbought conditions, aligning with the RSI reading and suggesting the decline may continue if momentum fades.

Forecast data points to near-term recovery then longer-term decline

Meyka’s one-month forecast stands at $0.11, implying 30% upside from current levels. However, the 12-month forecast drops to $0.0786, down 7.1% from today’s price, suggesting the recovery may be temporary. This divergence reflects near-term oversold potential offset by longer-term headwinds. Forecasts may change due to market conditions, regulations, or unexpected events.

Volume surge reinforces the move but leaves room for reversal

Trading volume hit 884.7 million, 27.5% above the 30-day average of 694 million, confirming strong participation in the sell-off. Money Flow Index at 73.42 remains elevated, indicating buyers still active despite the price decline. The combination of high volume and overbought indicators suggests a potential floor may be forming near $0.0838.

Final Thoughts

Dogecoin’s 5.1% drop reflects profit-taking in an overbought market rather than a fundamental shift. With RSI and ADX both signaling strong conditions and volume backing the move, the near-term direction hinges on whether price holds above $0.0838 or breaks lower toward the $0.0600 Bollinger Band support.

FAQs

Why did Dogecoin drop 5% today if no news broke?

No single event triggered the decline. Overbought RSI at 69.65 and strong ADX at 40.52 suggest profit-taking after recent gains.

Is Dogecoin oversold after the 5.1% fall?

No. RSI at 69.65 remains near overbought, not oversold. Price sits above the lower Bollinger Band, leaving room to fall.

What does Meyka forecast for Dogecoin in one month?

Meyka forecasts $0.11 in one month, 30% above today’s $0.0846 price, but 12-month forecast is $0.0786, down 7.1%.

Is the high trading volume a bullish or bearish sign?

Volume at 884.7 million, 27.5% above average, confirms conviction behind the sell-off, supporting the downtrend.

Disclaimer:

Cryptocurrency markets are highly volatile. This content is for informational purposes only. The Forecast Prediction Model is provided for informational purposes only and should not be considered financial advice. Meyka AI PTY LTD provides market data and sentiment analysis, not financial advice. Always do your own research and consider consulting a licensed financial advisor before making investment decisions.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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