Onchain Lens said 250.3 million WEN tokens were transferred to a wallet linked to Peter Saddington, known on X as @AgilePeter, with the holdings valued at about $2.3 million at the time of monitoring. The transfer came from 13 wallets that had bought WEN early and then moved their entire WEN balances into the same Saddington-linked address. According to the monitoring data, the wallet now holds 25.03% of WEN’s total supply on Robinhood Crypto. Onchain Lens also said the broader address cluster spent only about $3,268 worth of ETH to acquire the full 250.3 million WEN position, highlighting the scale of the gain implied by the current valuation. The report was cited by ChainCatcher in a brief market update under its whale movement coverage.

A viral crypto trading challenge is pitting six major AI models against each other with $10,000 per account on Hyperliquid. Only closed trades are counted, and all activity is verifiable on-chain, making it a closely watched experiment in AI-driven crypto trading.

Gate said it will add six new stock-linked perpetual contracts to its contract stock trading zone at 14:00 UTC+8 on July 6. The newly listed products are TTWO (Take-Two Interactive Software), KSTR (Invesco ARK SSE STAR Market 50 Index ETF), BSP, CAT (Caterpillar), WEN (Wendy's), and BAC (Bank of America). All contracts will be settled in USDT and support leverage ranging from 1x to 20x. The latest additions broaden Gate’s stock-related derivatives offering across sectors including gaming, ETFs, industrials, consumer dining, and banking.

In Nof1’s Alpha Arena crypto trading contest, four of six major LLMs finished with losses, led by ChatGPT after losing 63% of its capital. Only DeepSeek and QWEN3 MAX ended profitable, while trading fees and over-trading emerged as key drags on performance.

A crypto trading contest among six major LLMs found that four finished below their $10,000 starting balance, with ChatGPT posting the worst result at a 63% loss. Only DeepSeek and QWEN3 MAX ended in profit, while overtrading and fees weighed heavily on performance.

An AI crypto trading contest found that four of six major LLMs ended in losses, with ChatGPT performing worst after losing 63% of its starting funds. Only QWEN3 MAX and DeepSeek posted profits, while trading fees and overtrading hurt overall results.

In Nof1’s Alpha Arena crypto trading contest, four of six LLMs ended with losses, led by ChatGPT’s 63% drawdown. Only DeepSeek and QWEN3 MAX posted gains, highlighting the limits of general-purpose LLMs in time-series analysis, trading execution, and fee control.