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Arkham Brings On-Chain Intelligence to Prediction Markets With New Analytics Suite

ByAnush JaferAnush Jafer
2 mins read
  • Arkham has launched a full analytics suite for prediction markets, leveraging its catalogue of 3.5 billion address labels and 800,000 verified entities to track top traders by PNL, positions and win rate.
  • The suite introduces a PNL-ranked leaderboard, real-time trade feeds filtered by category and cross-referencing with Arkham’s existing on-chain identity layer.
  • Arkham’s expansion positions it as the first major intelligence platform to bring wallet-level transparency to the space.

Data from Artemis shows that prediction markets notched up over $74 billion in volume in Q1 this year, an increase of around 76% from the previous quarter and the strongest one by a long shot. The numbers show that adoption has shot through the roof but until now, there hasn’t been a solid intelligence layer in this space. Arkham has just changed that. 

The blockchain intelligence firm announced via an X post that they were rolling out a complete analytics suite for prediction markets, pulling from the same deanonymization engine it built to track crypto whales. This massive catalogue includes 3.5 billion address labels and 800,000 verified entities built up since 2022. The suite gives users the ability to track top traders by PNL, monitor any open positions, examine and analyze win rates and look out for any real-time activity in the space. 

What the Suite Actually Does

In essence, Arkham has built a PNL-ranked leaderboard of traders in prediction markets that lets users look into any individual’s full trading history. This includes every open and closed trade, alongside lifetime PNL, ROI, win rate and a performance graph over time. The platform also runs a live tape of trades across the entire prediction market space, filtered by category so users can see who is buying what in real-time. 

Arkham’s X post highlighted this in practice with an example. A trader by the name of Theo4 shows a $22 million lifetime PNL and an 88.9% win rate. The majority of this came from a single trade which was a $14.4 million win on correctly predicting Trump would win the popular vote in 2024. The fact is this level of detail was previously scattered across Polymarket profiles and third-party dashboards. Arkham now consolidates it, then layers on its existing entity identification to connect those wallets to known actors across the broader crypto space. 

 The Bloomberg Terminal Pitch Gets More Real

Arkham has been called the Bloomberg Terminal of crypto for years. The prediction markets expansion makes that comparison feel less aspirational and more functional. The platform already tracks whale movements, exchange flows and government wallet activity. Adding prediction markets means users can now see whether the same wallet that just moved $50 million in Bitcoin is also sitting on a large position in an oil price contract on Polymarket.

That cross-referencing is the real edge. Other prediction market analytics tools exist. Polymarket Analytics and Dune dashboards both surface trade data. But none of them sit on top of an identity layer that maps wallets to real-world entities at the scale Arkham does. The suite effectively does to prediction market participants what Arkham already did to DeFi whales: strips away pseudonymity and replaces it with a transparent track record.

For a sector that just saw Kalshi overtake Polymarket in taker volume for the first time in April and where open interest across all platforms hit $1.11 billion on May 1, the intelligence gap was only going to widen without a tool like this. Arkham saw that gap and moved into it before anyone else did.

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