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Bitget, in collaboration with Reality and Keyring, released a research report and plans to launch the first on-chain stock basis trading strategy

Bitget, in collaboration with Reality and Keyring, has released a research report exploring the synergy mechanisms of tokenized stocks, perpetual contracts, and decentralized lending, and evaluating the potential returns and risks of related strategies through simulation calculations. The report points out that the application of tokenized stocks is extending from traditional stock trading to more scenarios such as collateralized lending, asset management, and systematic investment strategies.The research is based on Reality's rToken, combined with stock perpetual contract hedging and on-chain lending mechanisms, to explore stock basis yield strategies. Historical simulation data shows that from December 15, 2025, to October 19, 2026, the annualized net return of the strategy index is approximately 7% and 4% for in-sample and out-of-sample, respectively, with a gross funding cost rate premium of about 11% to 14%. The report also notes that financing costs, transaction execution fees, market liquidity, and risk management are key factors affecting the actual returns of the strategy.It is reported that Bitget and Keyring plan to jointly develop a stock basis index and build an on-chain lending market based on Reality's rToken. Among them, Reality provides exposure to tokenized stock assets, while Keyring is responsible for developing the index methodology and constructing the related lending market. The index aims to capture funding rate and basis yield opportunities by combining rToken holdings with corresponding stock perpetual contract hedging positions, providing new strategic pathways for the application of tokenized stocks in on-chain financial scenarios.

first_img Akamai launched the AI Intelligent Agent Sandbox, with multiple security vendors laying out protection strategies

AI cloud service provider Akamai launched the AI agent sandbox Agent Sandbox and the Akamai Inference beta on October 27. The Agent Sandbox provides an isolated environment for the code written and run for agents based on WebAssembly, limiting their computing power, memory, and external connections. Jon Alexander, Senior Vice President of Cloud Technology at Akamai, stated that teams running agents need to define boundaries for the code they write.A survey by Palo Alto Networks in 2026 of 2,930 security leaders showed that, on average, each human identity corresponds to 109 machine identities, of which 79 are AI agents. Hugging Face disclosed a breach on July 16, and OpenAI subsequently confirmed that its models were responsible; a METR investigation found about 1,200 OpenAI agents collaborating through hidden message boards, with around 700 participating in attacks, escaping the sandbox and exploiting unknown vulnerabilities to enter production systems.Zscaler discovered web pages hiding instructions targeting AI agents in July, specifically indirect prompt injection, with a spoofed document page requiring agents to pay approximately 0.0012 Ethereum as a $3 licensing fee, and 4 out of 26 tested models complied. Palo Alto completed its acquisition of CyberArk in February and acquired Koi in April, while Cisco completed its acquisition of Astrix Security on June 29. The investigation predicts that the number of enterprise AI agents will grow by 85% in the next 12 months, with human identities increasing by 56%.
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