According to @LexSokolin, the attention economy has shifted crypto from problem-solving to engagement farming, clout chasing, and noise, weakening the reliability of social-driven trading signals and headline momentum setups (source: @LexSokolin on X). According to @LexSokolin, the signal-to-noise ratio is approaching zero, implying higher false positives for alpha derived from social metrics and necessitating stricter filters on sentiment data and event-driven strategies (source: @LexSokolin on X). According to @LexSokolin, an escape from this maze suggests de-emphasizing engagement counts and clout metrics in trading frameworks and prioritizing higher-quality inputs for execution and risk control (source: @LexSokolin on X).

According to @StockMKTNewz, the post is a personal anecdote with no tickers, prices, or market guidance, providing no actionable trading signal for stocks or crypto markets; source: @StockMKTNewz on X, Sep 12, 2025. Traders should treat this as social content without market relevance and avoid using it for positioning or risk decisions; source: @StockMKTNewz on X, Sep 12, 2025.

According to Bold Leonidas, the overwhelming presence of repetitive AI-generated content on social media often precedes a bullish signal in the cryptocurrency markets. This observation is based on his personal trading experiences, suggesting that such noise can lead to favorable trading opportunities as it may indicate underlying market trends. [Source: @boldleonidas, Twitter]