Meme Insider
Prediction markets are buzzing in the crypto world, offering bettors a way to wager on real-world events like elections, sports, and economic shifts. Platforms like Polymarket and Kalshi have exploded in popularity, especially during high-stakes moments like the 2024 U.S. elections. But with all this action comes a common question: How exactly is trading volume calculated? Is there double-counting inflating the numbers? A recent tweet from crypto data aggregator Primo Data sets the record straight, and it's a must-read for anyone tracking these markets.
In a pointed reply to crypto influencer @notnotstorm, Primo Data's account dropped some clarity on December 8, 2025. The tweet calls out misconceptions about volume reporting, emphasizing that their platform aligns perfectly with industry standards. Here's the full scoop, broken down for easy understanding.
The Tweet That Sparked Clarity
"@notnotstorm This is not how prediction markets report volume, including your portfolio company Kalshi.
To be clear:
Our site does not double count volume. We show notional taker volume (same as Kalshi).
The primary dashboards that show both Polymarket & Kalshi show notional volume https://t.co/9Bu0zm0DS0"
Posted at 5:16 PM, this response feels like a mic drop in the ongoing debate over prediction market metrics. For context, @notnotstorm—known for investments in innovative crypto projects—likely raised a flag about potential inflation in volume figures. Primo Data didn't just defend; they educated.
Breaking Down "Notional Taker Volume"
If you're new to this, let's keep it simple. In prediction markets, volume isn't just the raw number of trades—it's the notional value, or the dollar amount at stake if the bet plays out.
- Taker vs. Maker: A "taker" is the trader who accepts an existing order (like hitting "buy" on a limit order). A "maker" creates that order. Volume typically focuses on takers because it reflects active market participation.
- No Double-Counting: Unlike some exchanges that might tally both sides of a trade (maker and taker), notional taker volume only counts the taker's side once. This matches what CFTC-regulated platforms like Kalshi report daily.
- Why It Matters: Accurate volume helps traders gauge liquidity and interest. Inflated numbers can mislead, but Primo Data's approach keeps it real—mirroring Kalshi and even tying back to dashboards that compare Polymarket side-by-side.
This isn't a new fight. The tweet nods to an October 2025 group chat in a crypto data circle, where Blockworks' Dan Smith asked the same question. Back then, the answer was the same: UI volume mirrors shares traded at current prices, just like licensed markets.
Why Primo Data Stands Out in Crypto Analytics
As a go-to hub for meme tokens and blockchain insights, we at Meme Insider love tools that cut through the noise. Primo Data isn't just aggregating numbers—it's building trust in DeFi's wild west. Their dashboards (check out the linked one for Polymarket-Kalshi comps) make it easy to spot trends without the guesswork.
For meme coin enthusiasts dipping into prediction markets, this matters big time. Platforms like Polymarket often host bets on viral trends or token pumps, blending fun with finance. Knowing the volume is legit means your strategies aren't built on sand.
The Bigger Picture for Blockchain Practitioners
Prediction markets are more than gambling—they're oracles for truth in a post-truth era. With billions in notional volume flowing through Polymarket alone this year, transparency like Primo Data's is gold. It empowers devs, traders, and even casual hodlers to make smarter calls.
If you're building on blockchain or just chasing the next meme wave, bookmark this: Stick to notional taker volume for apples-to-apples comparisons. And keep an eye on Kalshi's regulated edge versus Polymarket's decentralized vibe—they're complementary, not competitors.
Got thoughts on prediction market volumes? Drop them in the comments. We're all about that community knowledge base here at Meme Insider. Stay tuned for more breakdowns on the tokens and tech shaping tomorrow.
