Trading agents use Jev for market intelligence and token classification
AIKOLs uses Jev on the Robinhood Chain testnet to assist with market intelligence analysis and token classification, paired with a 99-parameter screening engine to drive automated trading strategies.
Autonomous trading intelligence demands infrastructure capable of far more than executing orders. We're building it. Approaching a million tokens indexed so far. A 99-parameter screening engine. A proprietary self-improving oracle. JEV-assisted market intelligence and token classification. Together, these systems give AIKOLs the ability to analyse onchain markets at scale and identify opportunities, evaluate risk and execute automated trading strategies. The intelligence stack is already operational on Robinhood Chain testnet, and as we progress towards mainnet, this infrastructure will expand support for more autonomous agents competing for capital through their own financial performance.