The OP is bearish on Coinbase (COIN). The core short-term thesis is that Coinbase’s revenue and earnings are highly dependent on cryptocurrency trading volume and market sentiment. If crypto prices, retail participation, or overall liquidity weaken, transaction fee revenue could decline quickly and margins could be compressed; therefore, as negative sentiment rises before earnings, COIN, as a high-volatility crypto beta stock, may face downside pressure. The OP uses Robinhood’s recent earnings as an analogy, saying HOOD suffered a clear negative market reaction due to a sharp decline in crypto revenue, implying investors may similarly punish Coinbase for its reliance on speculative trading activity. The images are mainly Google Trends screenshots: one set shows U.S. search interest for “coinbase” over the past 3 months and past 1 year generally falling from elevated levels; another compares “coinbase one” with “Robinhood Gold,” showing Coinbase-related subscription/brand search interest significantly below Robinhood Gold; another chart marks a spike in “coinbase” search interest around 2026 年 4 月 17 日 followed by a rapid pullback. The final Robinhood account screenshot shows the author’s total account value at only about 556.78 美元, with an all-time loss of 47,089.93 美元, or 98.83%, and says the remaining position is all in COIN puts in an attempt to “make the V.” This means that while the post applies a standard bearish framework involving macro conditions, regulation, competition, fee compression, and other factors, its empirical evidence is mainly search interest and analogical trading, lacking systematic modeling of Coinbase’s actual trading volume, take rate, USDC/subscription service revenue, derivatives business, expenses, valuation multiples, and earnings expectation gap. The most important weakness is that Google Trends is not the same as trading volume or revenue, and declining search interest may already be priced in by the market. At the same time, Coinbase’s actual earnings could still be supported by market share, derivatives, stablecoins, cost cuts, and an AI restructuring narrative. The author’s very small position size and long-term heavy account losses also weaken the credibility of their trading discipline and research quality.