WAGMI Bench’s open-source framework standardizes AI trading agent evaluation, fostering transparency and innovation in financial markets.
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Enjin has reported an alarming loss of approximately $162,000 due to a security exploit that compromised its protocol. The exploit allowed malicious actors to manipulate
A critical vulnerability in FHToken’s coding has resulted in a loss of approximately $20,000. The exploit took place on the FH/USDT PancakeSwap V2 pool, as
Dolores Research has unveiled an open-source benchmark called SWE-bench for evaluating AI trading agents. This tool is designed to analyze how AI performs in trading
Crypto cards are turning USDC and USDT into everyday spending balances, with cumulative stablecoin card top-ups reaching $13.8 billion by August. The growth is pushing
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