MIDWEEK ALPHA · v.03 READ THE DATA, NOT THE NARRATIVE One of the easiest ways to get crypto research wrong is to find a true number and build the wrong conclusion around it. TVL is up 80%. Volume doubled. Revenue hit $2M. Users are growing. The numbers can all be real. The mistake is assuming they automatically mean what the narrative says they mean. ➤ UNDERSTAND THE METRIC TVL measures the value of assets held in a protocol’s smart contracts. But dollar-denominated TVL can rise because the assets themselves appreciated, even if no new capital entered. So higher TVL ≠ automatically more capital. Fees and revenue are different too. Fees are what users pay. Revenue is the portion the protocol retains. Mixing those numbers can completely change how you understand a protocol’s economics. ➤ UNDERSTAND THE METHODOLOGY An onchain metric isn’t simply pulled from the blockchain and dropped onto a dashboard. There are definitions, contract mappings, events, pricing, aggregation and methodology behind the final number. Before using a metric, understand where it came from and how it was calculated. ➤ PUT THE NUMBER IN CONTEXT “Revenue grew 300%” sounds impressive. But 300% growth from $10K is very different from 300% growth from $10M. The starting point, timeframe and comparison matter. A percentage without its baseline is incomplete information. ➤ LOOK BEYOND THE NUMBER Higher TVL doesn’t explain why it increased. Higher volume doesn’t prove the activity is sustainable. More fees don’t mean the protocol keeps all of them. Strong protocol revenue doesn’t automatically make the token undervalued. One metric can tell you something important without telling you everything. I’ve had to become more careful about this in my own research too. It’s easy to find a number that fits your thesis and build the entire narrative around it. The better habit is to slow down and ask what the number actually proves. What caused the change. What is it being compared with. How was it calculated. What does it leave out. And what conclusion can it actually support? That is where research gets better. You stop collecting numbers because they look impressive and start using them because they mean something. Read the data. Understand the metric. Check the methodology. Put it in context. Then build the narrative. Not the other way around. If you found this useful, like and share your thought on the comment, do well to follow for the next piece. See you on the next one.