Coin Bureau’s Guy lays out a seven-step framework for researching crypto: start with narratives, then narrow to promising projects using data, adoption metrics, team quality, tokenomics, competitor comparison, and finally stress-test the thesis. The core message is that crypto success comes from disciplined due diligence, not chasing price action or low sticker prices.
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This video is a practical research framework rather than a market call on any one coin. Guy’s core thesis is that doing your own research is the difference between finding asymmetric crypto opportunities and “throwing money down the toilet,” and he organizes that process into seven steps. He opens by emphasizing the sheer scale of the market—“over 50 million crypto coins and tokens out there”—to argue that investors must narrow the field systematically instead of trying to evaluate everything. The first filter is narratives. He says investors should identify what narrative is leading right now and where capital may rotate next, using examples such as AI, privacy, payments, and DeFi. He describes a four-stage narrative lifecycle: inception, excitement, social proof, and peak euphoria. …
Tactically, the message is to wait for narrative leadership plus confirming data before buying; avoid chasing coins that are already extended or illiquid. Near-term risk is buying into a theme that has social buzz but no real usage or clean token supply setup.
Over the next few months, the better setup is the project that maintains user activity, revenue/fees, and developer momentum while avoiding major unlocks or dilution. If the adoption data and competitive position do not improve together, the narrative will likely fade even if the token gets intermittent pumps.
Structurally, the video argues that surviving crypto investments are the ones with durable utility, transparent teams, and tokenomics that do not self-destruct over time. The lasting regime is one where due diligence and cycle survivability matter more than headline narratives or nominal token prices.
Doing your own research is the difference between smart investing and losing money in crypto.
This is the video’s opening thesis and framing claim.
Crypto narratives move in four stages: inception, excitement, social proof, and peak euphoria.
He explicitly defines the lifecycle framework used to identify where capital may rotate.
Developer activity, capital flows, and social volume are the key data signals for finding the next narrative rotation.
He lists GitHub commits, TVL changes, and social volume as the main screening inputs.
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