These markets track Elon Musk's posting activity on X (formerly Twitter) during a precise eight-day window in late April 2026, measuring the total number of tweets he will post from April 24 through May 1. This span captures roughly one week of his typical social-media engagement. Rather than bundling these markets arbitrarily, they're grouped because they all describe the same underlying phenomenon: his actual tweet volume during this exact period. Each market represents a specific numerical range, creating a probabilistic distribution that collectively answers a single factual question: how active will Elon be on X during this week? The bundled markets cover overlapping and non-overlapping ranges: 140–159 tweets, 160–179, 180–199, 300–319, and 480–499. This structure allows you to isolate your view of his likely behavior. If you believe he'll post moderately, the 140–199 range markets let you express that conviction across multiple entry points. If you think he'll be exceptionally active—possibly driven by a news cycle or product announcement—the higher ranges (300–319 or 480–499) capture that tail scenario. When reviewing these prices, watch for how probabilities shift across the ranges. Markets trading above 50 cents indicate the crowd expects that range is more likely; those below suggest lower conviction. Notice which ranges have the tightest spreads and highest volume—these reveal where consensus is strongest and where uncertainty remains. A cluster of activity in the mid-range markets suggests a base-case forecast, while significant probability in the tails hints at anticipated volatility or an upcoming event that might drive Elon's posting behavior. The aggregation matters because no single market fully captures the answer. By comparing prices across the full range distribution, you construct a complete picture of what the crowd expects, identify mispricing between adjacent ranges, and spot divergences between market pricing and historical patterns.