Arkham Brings Wallet-Level Analytics to Prediction Markets

Arkham announced on X that it launched an analytics suite for prediction markets. The product draws on a database of 3.5 billion address labels and 800,000 verified entities developed since 2022 to rank traders by profit and loss (PNL), monitor open positions, track win rates and link wallets to known identities.

The suite includes a leaderboard ranked by lifetime PNL that shows lifetime PNL, return on investment, win rate and a performance graph for each trader. A live trade tape displays trades across prediction market platforms and can be filtered by category. Users can inspect every open and closed trade tied to a wallet and follow real-time activity across the space.

Arkham’s identity layer cross-references wallets with its verified-entity database to connect trading records to known actors in the crypto ecosystem. The company highlighted a trader using the handle Theo4 with a reported $22 million lifetime PNL, an 88.9% win rate and a single $14.4 million win from a correct prediction that Donald Trump would win the 2024 popular vote.

Market activity in prediction markets has increased this year. Data from analytics provider Artemis shows $74 billion in volume in the first quarter, up about 76% from the previous quarter, and open interest across platforms reached $1.11 billion on May 1. In April, Kalshi recorded higher taker volume than Polymarket for the first time.

Arkham already tracks large on-chain movements, including whale transfers, exchange flows and government wallets. The new suite lets users cross-reference positions across markets to determine whether a wallet that moved tens of millions of dollars in Bitcoin also holds a sizable position in a prediction market contract.

Other analytics tools surface trade data or rely on public profile pages and dashboard queries. Arkham’s address labels and verified-entity mappings have been built since 2022 and are used across the firm’s broader blockchain intelligence products.