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On April 21, local time, Abdollahi, commander of the Khatam al-Anbiya Central Command of the Iranian Armed Forces, stated that Iran is prepared to respond decisively to the 'enemy's breach of promises.' Abdollahi emphasized that the current Iranian military possesses 'authority, readiness, and comprehensive strategic capabilities.' He noted that the Islamic Revolutionary Guard Corps and other defense forces have demonstrated combat capabilities in relevant operations, putting 'Israel and the United States in a difficult and fatigued position,' forcing them to 'seek a ceasefire.' Abdollahi also stressed that the Iranian armed forces maintain a high level of unity with the government and the people under the supreme leader's unified command, and will respond 'decisively, resolutely, and promptly' to any threats and actions. (CCTV News)

[Iranian Military: Ready to Respond Decisively to 'Enemy's Breach of Promises']On April 21, local time, Abdollahi, commander of the Khatam al-Anbiya Central Command of the Iranian Armed Forces, stated that Iran is prepared to respond decisively to the 'enemy's breach of promises.' Abdollahi emphasized that the current Iranian military possesses 'authority, readiness, and comprehensive strategic capabilities.' He noted that the Islamic Revolutionary Guard Corps and other defense forces have demonstrated combat capabilities in relevant operations, putting 'Israel and the United States in a difficult and fatigued position,' forcing them to 'seek a ceasefire.' Abdollahi also stressed that the Iranian armed forces maintain a high level of unity with the government and the people under the supreme leader's unified command, and will respond 'decisively, resolutely, and promptly' to any threats and actions. (CCTV News)

Iranian Military: Ready to Respond Decisively to 'Enemy's Breach of Promises'

On April 21, Shu Jun, Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, shared at the offline event themed "Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions" that traditional methods of data acquisition relying on search engines or free APIs are inadequate for high-precision needs, especially in financial trading scenarios. Free market data interfaces often suffer from delays and data omissions, making them unsuitable for high-frequency or specialized decision-making. To address this, MuleRun integrates high-quality data sources and specialized tool interfaces, lowering the barrier for users to access without needing to procure or configure APIs themselves, allowing them to utilize a data system that includes on-chain data, U.S. stock data, and multi-dimensional analytical capabilities. The platform also introduces various 'Skills', including trading strategy evaluation, multi-role simulated debates, and quantitative backtesting functionalities. Backtesting tasks are executed on external servers to resolve issues of insufficient computational power in local and general cloud environments, enhancing the actual user experience for quantitative users. Additionally, MuleRun is expanding its diverse data sources, such as integrating cross-border e-commerce product data, to enhance the Agent's information acquisition capabilities in different business scenarios. In terms of 'intelligent decision-making', Shu Jun emphasized that the core of the Agent lies in its ability to handle complex tasks, including multi-period data analysis, indicator calculation, and strategy execution. Cost control has also become a key metric. Currently, AI systems generally face high token consumption issues, which directly affect user costs. In response, MuleRun has systematically optimized token usage at the engineering level, significantly reducing costs while ensuring task completion quality, thereby improving task execution efficiency under the same budget. Shu Jun stated that data quality and model efficiency will directly determine the performance of the AI Agent in tasks, and in the future, the platform will continue to seek a balance between high-quality data access and low-cost intelligent computation to support more complex on-chain application scenarios.

[MuleRun Develops On-Chain AI Agent with High-Quality Data and Low-Cost Inference to Restructure Trading Efficiency]On April 21, Shu Jun, Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, shared at the offline event themed "Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions" that traditional methods of data acquisition relying on search engines or free APIs are inadequate for high-precision needs, especially in financial trading scenarios. Free market data interfaces often suffer from delays and data omissions, making them unsuitable for high-frequency or specialized decision-making. To address this, MuleRun integrates high-quality data sources and specialized tool interfaces, lowering the barrier for users to access without needing to procure or configure APIs themselves, allowing them to utilize a data system that includes on-chain data, U.S. stock data, and multi-dimensional analytical capabilities. The platform also introduces various 'Skills', including trading strategy evaluation, multi-role simulated debates, and quantitative backtesting functionalities. Backtesting tasks are executed on external servers to resolve issues of insufficient computational power in local and general cloud environments, enhancing the actual user experience for quantitative users. Additionally, MuleRun is expanding its diverse data sources, such as integrating cross-border e-commerce product data, to enhance the Agent's information acquisition capabilities in different business scenarios. In terms of 'intelligent decision-making', Shu Jun emphasized that the core of the Agent lies in its ability to handle complex tasks, including multi-period data analysis, indicator calculation, and strategy execution. Cost control has also become a key metric. Currently, AI systems generally face high token consumption issues, which directly affect user costs. In response, MuleRun has systematically optimized token usage at the engineering level, significantly reducing costs while ensuring task completion quality, thereby improving task execution efficiency under the same budget. Shu Jun stated that data quality and model efficiency will directly determine the performance of the AI Agent in tasks, and in the future, the platform will continue to seek a balance between high-quality data access and low-cost intelligent computation to support more complex on-chain application scenarios.

MuleRun Develops On-Chain AI Agent with High-Quality Data and Low-Cost Inference to Restructure Trading Efficiency

On April 21, cryptocurrency market analyst Axel stated that Bitcoin's net flow turned negative in the past 30 days, shifting from positive to negative since early March. On March 25, it reached a significant outflow peak of -300,000 BTC, and as of April 21, it remains at a net outflow of -98,000 BTC. During the same period, the BTC reserves on trading platforms decreased from 2.786 million to 2.681 million, marking a continuous decline for seven weeks, totaling a reduction of over 105,000 BTC. There has been no panic inflow during the price correction in April, indicating that tokens are continuously being held by long-term holders. The current pattern is interpreted as a signal for accumulation, but there is a potential risk to be cautious about if the net flow returns to positive territory.

[Analyst: CEX Sees Nearly 100,000 BTC Net Outflow in 30 Days, Reserves Decline for Seven Consecutive Weeks Indicating Accumulation Signal]On April 21, cryptocurrency market analyst Axel stated that Bitcoin's net flow turned negative in the past 30 days, shifting from positive to negative since early March. On March 25, it reached a significant outflow peak of -300,000 BTC, and as of April 21, it remains at a net outflow of -98,000 BTC. During the same period, the BTC reserves on trading platforms decreased from 2.786 million to 2.681 million, marking a continuous decline for seven weeks, totaling a reduction of over 105,000 BTC. There has been no panic inflow during the price correction in April, indicating that tokens are continuously being held by long-term holders. The current pattern is interpreted as a signal for accumulation, but there is a potential risk to be cautious about if the net flow returns to positive territory.

Analyst: CEX Sees Nearly 100,000 BTC Net Outflow in 30 Days, Reserves Decline for Seven Consecutive Weeks Indicating Accumulation Signal

On April 21, the South Korean KOSPI index closed up 169.38 points, a rise of 2.72%, reaching 6388.47 points, marking a historic high. The Nikkei 225 index also closed up 524.28 points on April 21, an increase of 0.89%, finishing at 59349.17 points. (Jinshi)

[Korean and Japanese Stock Markets Rise, KOSPI Index Hits Record High]On April 21, the South Korean KOSPI index closed up 169.38 points, a rise of 2.72%, reaching 6388.47 points, marking a historic high. The Nikkei 225 index also closed up 524.28 points on April 21, an increase of 0.89%, finishing at 59349.17 points. (Jinshi)

Korean and Japanese Stock Markets Rise, KOSPI Index Hits Record High

On April 21, Lion Global Investors, an asset management company under Singapore's largest bank OCBC, launched a tokenized physical gold fund with the underlying token GOLDX issued on both the Ethereum and Solana blockchains. The token is aimed at institutional investors, hedge funds, and asset management companies, allowing trading with stablecoins and fiat currencies. After purchase, the tokens will be directly delivered to the investors' blockchain wallets. Kenneth Lai, OCBC's Global Markets Head, stated that this initiative is part of the new company's strategy to 'connect traditional finance with the emerging decentralized finance world.' The tokenized fund aims to attract participants from the Web3 ecosystem and high-net-worth individuals. The GOLDX token provides on-chain exposure to LionGlobal's Singapore physical gold fund, which was launched in December last year and manages approximately $525 million in assets as of April 16. Data shows that the value of tokenized real-world assets on public blockchains has exceeded $29 billion, with over a 10% increase in the past 30 days. Since 2023, OCBC has been exploring blockchain technology applications, having first issued tokenized stock-linked notes for qualified investors.

[OCBC Bank Launches Tokenized Physical Gold Fund on Ethereum and Solana]On April 21, Lion Global Investors, an asset management company under Singapore's largest bank OCBC, launched a tokenized physical gold fund with the underlying token GOLDX issued on both the Ethereum and Solana blockchains. The token is aimed at institutional investors, hedge funds, and asset management companies, allowing trading with stablecoins and fiat currencies. After purchase, the tokens will be directly delivered to the investors' blockchain wallets. Kenneth Lai, OCBC's Global Markets Head, stated that this initiative is part of the new company's strategy to 'connect traditional finance with the emerging decentralized finance world.' The tokenized fund aims to attract participants from the Web3 ecosystem and high-net-worth individuals. The GOLDX token provides on-chain exposure to LionGlobal's Singapore physical gold fund, which was launched in December last year and manages approximately $525 million in assets as of April 16. Data shows that the value of tokenized real-world assets on public blockchains has exceeded $29 billion, with over a 10% increase in the past 30 days. Since 2023, OCBC has been exploring blockchain technology applications, having first issued tokenized stock-linked notes for qualified investors.

OCBC Bank Launches Tokenized Physical Gold Fund on Ethereum and Solana

On April 21, Shu Junliang, the Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, shared at the offline event themed "Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions" that, from a product definition perspective, AI Agents should essentially be viewed as "personal assistants," with the core goal of continuously reducing usage costs and barriers through technological means. Based on this positioning, the capabilities of the Agent can be abstracted into a multi-dimensional structure, including modules for "mouth (interaction capability)," "eyes and ears (perception capability)," "brain (reasoning and decision-making)," and "memory and knowledge (long-term learning)," with different capabilities corresponding to different underlying technological systems. In terms of interaction, he pointed out that AI Agents are gradually expanding from traditional text dialogues within web pages or apps to multi-channel communication, including mainstream platforms such as Telegram, Discord, Feishu, DingTalk, and WeChat, achieving a "no-interface" natural interaction experience, thereby significantly lowering the user entry barrier. Regarding core on-chain scenarios, MuleRun proposed an infrastructure solution centered on "funds permission security," which includes sandbox isolation, cloud execution, and a full-chain traceability mechanism, creating a trustless operating environment to address potential security issues during the Agent's automatic execution process. In terms of capability evolution, the Agent will feature a self-evolving decision-making model that can continuously learn users' trading strategies and risk preferences, forming a personalized investment research and execution system. Additionally, through a knowledge network mechanism, it will enable strategy accumulation and sharing, promoting the reuse and diffusion of on-chain cognition and capabilities. Shu Junliang further noted that as the capabilities of AI Agents improve, the division of labor in on-chain transactions will be restructured: Agents will gradually take over information processing and execution, while humans will focus on higher-level strategy formulation and key decision-making.

[MuleRun CTO Shu Junliang: Building a Trustless AI Agent Infrastructure to Promote On-Chain Interaction for the Masses]On April 21, Shu Junliang, the Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, shared at the offline event themed "Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions" that, from a product definition perspective, AI Agents should essentially be viewed as "personal assistants," with the core goal of continuously reducing usage costs and barriers through technological means. Based on this positioning, the capabilities of the Agent can be abstracted into a multi-dimensional structure, including modules for "mouth (interaction capability)," "eyes and ears (perception capability)," "brain (reasoning and decision-making)," and "memory and knowledge (long-term learning)," with different capabilities corresponding to different underlying technological systems. In terms of interaction, he pointed out that AI Agents are gradually expanding from traditional text dialogues within web pages or apps to multi-channel communication, including mainstream platforms such as Telegram, Discord, Feishu, DingTalk, and WeChat, achieving a "no-interface" natural interaction experience, thereby significantly lowering the user entry barrier. Regarding core on-chain scenarios, MuleRun proposed an infrastructure solution centered on "funds permission security," which includes sandbox isolation, cloud execution, and a full-chain traceability mechanism, creating a trustless operating environment to address potential security issues during the Agent's automatic execution process. In terms of capability evolution, the Agent will feature a self-evolving decision-making model that can continuously learn users' trading strategies and risk preferences, forming a personalized investment research and execution system. Additionally, through a knowledge network mechanism, it will enable strategy accumulation and sharing, promoting the reuse and diffusion of on-chain cognition and capabilities. Shu Junliang further noted that as the capabilities of AI Agents improve, the division of labor in on-chain transactions will be restructured: Agents will gradually take over information processing and execution, while humans will focus on higher-level strategy formulation and key decision-making.

MuleRun CTO Shu Junliang: Building a Trustless AI Agent Infrastructure to Promote On-Chain Interaction for the Masses

On April 21, the South Korean KOSPI index closed up 169.38 points, an increase of 2.72%, reaching 6388.47 points, a historic high. The Nikkei 225 index also closed up 524.28 points, a rise of 0.89%, ending at 59349.17 points.

[Japanese and South Korean Stock Markets Rise, KOSPI Index Hits Record High]On April 21, the South Korean KOSPI index closed up 169.38 points, an increase of 2.72%, reaching 6388.47 points, a historic high. The Nikkei 225 index also closed up 524.28 points, a rise of 0.89%, ending at 59349.17 points.

Japanese and South Korean Stock Markets Rise, KOSPI Index Hits Record High

On April 21, according to Reuters, SpaceX's IPO prospectus revealed that President Gwynne Shotwell's total compensation last year reached $85.8 million, placing her among the highest-paid executives in the U.S. Shotwell also serves as Chief Operating Officer, with a base salary of $1 million, while most of her compensation comes from stock options and bonuses. The summary of the prospectus shows that Chief Financial Officer Bret Johnson's total compensation was $9.8 million; meanwhile, CEO Elon Musk, a major shareholder in SpaceX, paid himself a symbolic salary of only $54,080.

[SpaceX IPO Filing Reveals Executive Compensation, Musk Takes Symbolic Salary]On April 21, according to Reuters, SpaceX's IPO prospectus revealed that President Gwynne Shotwell's total compensation last year reached $85.8 million, placing her among the highest-paid executives in the U.S. Shotwell also serves as Chief Operating Officer, with a base salary of $1 million, while most of her compensation comes from stock options and bonuses. The summary of the prospectus shows that Chief Financial Officer Bret Johnson's total compensation was $9.8 million; meanwhile, CEO Elon Musk, a major shareholder in SpaceX, paid himself a symbolic salary of only $54,080.

SpaceX IPO Filing Reveals Executive Compensation, Musk Takes Symbolic Salary

On April 21, Aave officially updated the latest progress on the rsETH hacking incident: the WETH reserves in the Ethereum Core V3 market have been unfrozen, and users can once again supply WETH to Ethereum Core V3. The LTV (Loan-to-Value) ratio for WETH remains at 0. The WETH reserves on Ethereum Prime, Arbitrum, Base, Mantle, and Linea are still frozen. Aave service providers will continue to advance subsequent steps and will provide updates in a timely manner.

[Aave: WETH Reserves in Ethereum Core V3 Market Unfrozen]On April 21, Aave officially updated the latest progress on the rsETH hacking incident: the WETH reserves in the Ethereum Core V3 market have been unfrozen, and users can once again supply WETH to Ethereum Core V3. The LTV (Loan-to-Value) ratio for WETH remains at 0. The WETH reserves on Ethereum Prime, Arbitrum, Base, Mantle, and Linea are still frozen. Aave service providers will continue to advance subsequent steps and will provide updates in a timely manner.

Aave: WETH Reserves in Ethereum Core V3 Market Unfrozen

According to monitoring data from Lookonchain, on June 5th, Andrew Kang, co-founder and partner of the cryptocurrency venture capital firm Mechanism Capital, appears to be using high leverage to long/short BTC and ETH on the MUX platform. He has traded 8 times, been liquidated 7 times, and lost $377,000.

[Andrew Kang Lost $377,000 by Using High Leverage to Long/Short BTC and ETH on MUX Platform]According to monitoring data from Lookonchain, on June 5th, Andrew Kang, co-founder and partner of the cryptocurrency venture capital firm Mechanism Capital, appears to be using high leverage to long/short BTC and ETH on the MUX platform. He has traded 8 times, been liquidated 7 times, and lost $377,000.

Andrew Kang Lost $377,000 by Using High Leverage to Long/Short BTC and ETH on MUX Platform

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Article

ETH Falls Below $2300

Andrew Kang Lost $377,000 by Using High Leverage to Long/Short BTC and ETH on MUX Platform

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

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