What Drove Dogecoin and Apecoin to Their Peaks? New Analysis Explains

On-Chain Analytics Reveals Causes of Recent Dogecoin and Apecoin Corrections

Santiment, a leading on-chain analytics platform, has identified key factors contributing to recent price declines in Dogecoin (DOGE) and Apecoin (APE). These corrections coincide with significant shifts in social media sentiment indicators, particularly a surge in Fear Of Missing Out (FOMO).

Santiment's analysis indicates that DOGE and other memecoins have experienced an increase in the Positive Sentiment vs. Negative Sentiment Ratio. This metric measures the overall tone of major social media platforms, indicating whether sentiment is predominantly positive or negative towards specific assets.

A machine-learning model developed by Santiment distinguishes between negative and positive sentiments in online comments. When the ratio exceeds zero, it signifies a dominance of positive sentiment. Conversely, a value below zero suggests a prevailing negative outlook.

Santiment has released a chart tracking this sentiment ratio for DOGE, APE, and other memecoins over recent months. Notable spikes in positive sentiment for DOGE and APE were observed, corresponding with local peaks in their prices.

While positive sentiment often reflects market confidence, excessive optimism can lead to unrealistic hype. Historically, such exuberance has preceded price peaks in cryptocurrencies. According to Santiment, market prices often move contrary to popular expectations, with extreme sentiments indicating predictable market behavior.

The recent surge in positive sentiment likely fueled FOMO among investors, contributing to the corrections witnessed in DOGE and its peers. Monitoring the Positive Sentiment vs. Negative Sentiment Ratio in the coming days could provide insights into potential price movements, as a decrease might signal a revival in bullish activity.

Currently, Dogecoin's price is hovering around $0.136, down from a recent high of $0.150, which aligns with the observed sentiment dynamics.