币师10000bnb
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Tell the truth
A friend has been trading in the stock market for many years. When the Shanghai stock index fell to 2900 this year, he thought the bottom was reached, so he raised 10 million by himself, then raised another 10 million, and bought the bottom with a full position of 20 million.
Then it kept falling, and by 2,700 points, it was already facing financial pressure. He came to me and said, Brother, please save me. If the financing position is closed, my assets will return to zero.
I asked him how long he could hold on, and he said it would only be a drop. I said I can help you avoid liquidating your position, but no one can predict the stock market. This lesson should be taken seriously in the future.
In early February, I prepared 2,000 funds and told him that if the price continued to fall, I would transfer it to him. On the 2nd, he got anxious and called me to transfer money. His position was about to be liquidated, so I said I would go and take a look.
I have a gold card and a business account. I can transfer 10 million at a time, so I took the card with me. I said, my brother will settle the account, I will invest 2,000 to increase the position, and the profit and loss will be mine. If I make a profit, don't be jealous. If I lose, I will bear it myself. If you agree, just transfer the money. If you don't agree, forget it. This will not only protect you from liquidating your position, but also reduce the risk of falling losses. He repeatedly said he agreed and would do as I said.
So 10 million was transferred on the 2nd, 10 million was transferred on the 5th, and 20 million was added to the position in four times.
It pulled back by more than ten points on the 6th, and rose by nearly ten points on the 7th, rising 21 points in two days. I made a profit of 4.2 million from 20 million. At noon on the 7th, I asked him to sell all the stocks I invested in. Although he was reluctant to give up, he had no choice but to sell because I had said it first.
Last night he called me out for a drink and said he was grateful for helping him keep the financing from liquidation. If it hadn't been for the injection of 20 million, the market would have been liquidated when it dropped to 2680 points.
He said that my money has been transferred out and I can’t withdraw it until the 8th, a total of 24.2 million.
I said, I have to take all of my principal of 20 million and make a profit of 4.2 million. I only need 4 million. The 200,000 will be considered as your trading fee. Of the 4 million, I will first take 2 million for the New Year, and the other 200 will be loaned to you. Regardless of profit or loss, you have to pay it back. My friend thanked me profusely and wrote an IOU of 2 million on the spot. After having a good meal and a meal, he even gave me two bottles of wine.
"Passengers, please get off the car on the left hand side and pick up your carry-on luggage~"
Who woke me up from my dream #BTC #cpi #ETH #内容挖矿
A friend has been trading in the stock market for many years. When the Shanghai stock index fell to 2900 this year, he thought the bottom was reached, so he raised 10 million by himself, then raised another 10 million, and bought the bottom with a full position of 20 million.
Then it kept falling, and by 2,700 points, it was already facing financial pressure. He came to me and said, Brother, please save me. If the financing position is closed, my assets will return to zero.
I asked him how long he could hold on, and he said it would only be a drop. I said I can help you avoid liquidating your position, but no one can predict the stock market. This lesson should be taken seriously in the future.
In early February, I prepared 2,000 funds and told him that if the price continued to fall, I would transfer it to him. On the 2nd, he got anxious and called me to transfer money. His position was about to be liquidated, so I said I would go and take a look.
I have a gold card and a business account. I can transfer 10 million at a time, so I took the card with me. I said, my brother will settle the account, I will invest 2,000 to increase the position, and the profit and loss will be mine. If I make a profit, don't be jealous. If I lose, I will bear it myself. If you agree, just transfer the money. If you don't agree, forget it. This will not only protect you from liquidating your position, but also reduce the risk of falling losses. He repeatedly said he agreed and would do as I said.
So 10 million was transferred on the 2nd, 10 million was transferred on the 5th, and 20 million was added to the position in four times.
It pulled back by more than ten points on the 6th, and rose by nearly ten points on the 7th, rising 21 points in two days. I made a profit of 4.2 million from 20 million. At noon on the 7th, I asked him to sell all the stocks I invested in. Although he was reluctant to give up, he had no choice but to sell because I had said it first.
Last night he called me out for a drink and said he was grateful for helping him keep the financing from liquidation. If it hadn't been for the injection of 20 million, the market would have been liquidated when it dropped to 2680 points.
He said that my money has been transferred out and I can’t withdraw it until the 8th, a total of 24.2 million.
I said, I have to take all of my principal of 20 million and make a profit of 4.2 million. I only need 4 million. The 200,000 will be considered as your trading fee. Of the 4 million, I will first take 2 million for the New Year, and the other 200 will be loaned to you. Regardless of profit or loss, you have to pay it back. My friend thanked me profusely and wrote an IOU of 2 million on the spot. After having a good meal and a meal, he even gave me two bottles of wine.
"Passengers, please get off the car on the left hand side and pick up your carry-on luggage~"
Who woke me up from my dream #BTC #cpi #ETH #内容挖矿
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Building a New 'Computing Economy' for the AI Era: Melos' Compute-Fi Narrative
From 'cost center' to 'revenue-generating asset,' computing power is entering the financial asset system
As generative AI enters the scaling stage, computing power is undergoing a new transformation from 'technical cost' to 'revenue asset.' GPU clusters and data center expansions have long been viewed as fixed investments within enterprises, but the sustained expansion of model scale and inference demand has caused computing power to gradually exhibit predictable capacity and clear revenue expectations.
In fact, the capital market was the first to capture the aforementioned changes. CoreWeave's asset structure in 2023–2024 has proven that GPU clusters can serve as collateral for large financing, with models not fundamentally different from traditional equipment leasing or commercial real estate. Meanwhile, the over 60% price fluctuations of high-end GPUs like H100/H200 and GB200 in the primary market give computing power trading characteristics similar to futures commodities, and it is being repriced by the market as an asset.
As generative AI enters the scaling stage, computing power is undergoing a new transformation from 'technical cost' to 'revenue asset.' GPU clusters and data center expansions have long been viewed as fixed investments within enterprises, but the sustained expansion of model scale and inference demand has caused computing power to gradually exhibit predictable capacity and clear revenue expectations.
In fact, the capital market was the first to capture the aforementioned changes. CoreWeave's asset structure in 2023–2024 has proven that GPU clusters can serve as collateral for large financing, with models not fundamentally different from traditional equipment leasing or commercial real estate. Meanwhile, the over 60% price fluctuations of high-end GPUs like H100/H200 and GB200 in the primary market give computing power trading characteristics similar to futures commodities, and it is being repriced by the market as an asset.
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Gearbox Protocol Deep Dive: The Innovative Engine of DeFi Leveraged Lending and Permissionless Governance Revolution
In 2025, the DeFi lending market will witness a profound governance revolution, and Gearbox Protocol is undoubtedly the most eye-catching innovator in this transformation. As a protocol focused on on-chain leveraged trading and credit accounts, Gearbox achieved an astonishing TVL growth of 213% in just six months, skyrocketing from $105 million to $329 million, with its Lido special pool becoming the largest ETH curation pool in the DeFi ecosystem. Even more noteworthy is that Gearbox, through proposal GIP-264 in August 2025, became the first mainstream protocol to fully transition to a Permissionless curator model, opening up a new exploration direction for DeFi governance models.
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CodexField AI Vault is grandly opened, Web3 asset value closed loop landed
CodexField is undergoing a complete upgrade to become a unified asset market system for the AI era. In this system, it will possess capabilities for autonomous trading, intelligent execution, cross-chain liquidity aggregation, and asset verification. It will be able to support various elements such as crypto assets, RWA, strategic assets, and model assets under the same framework, autonomously generating profits based on AI capabilities.
In the new ecological system of CodexField, CodexField has further expanded into two major ecological product systems, including the AI Vault revenue system powered by the Codex AI Engine, and five major sectors — CDX trading platform, CDX DEX, aggregation ecology, CDX Wallet, and content/model asset system. This product matrix further constitutes the complete foundation for the execution, clearing, entry, depth, and asset sources of the ecosystem. The five major product sectors have already been gradually introduced to the market, and CodexField's role in the market is shifting from a tool-based product to a foundational infrastructure capable of supporting multi-asset liquidity and automated management.
In the new ecological system of CodexField, CodexField has further expanded into two major ecological product systems, including the AI Vault revenue system powered by the Codex AI Engine, and five major sectors — CDX trading platform, CDX DEX, aggregation ecology, CDX Wallet, and content/model asset system. This product matrix further constitutes the complete foundation for the execution, clearing, entry, depth, and asset sources of the ecosystem. The five major product sectors have already been gradually introduced to the market, and CodexField's role in the market is shifting from a tool-based product to a foundational infrastructure capable of supporting multi-asset liquidity and automated management.
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Summit goes viral + Capital increases, what makes the CodexField ecosystem the focus of the industry?
CodexField is a forward-looking "AI-driven full-asset trading infrastructure" designed to ensure that any element capable of generating value, including crypto assets, RWA, content production capacity, or model inference capabilities, can be certified, priced, traded, and automatically executed and value returned by AI within the same system.
As a new generation "Unified Market Operating System". Through AI execution engines, cross-chain aggregated liquidity, high-performance trading systems, and a content/model assetization system, it provides users with a smarter, more automated, and compoundable full-asset trading and collaboration environment, while also building a foundational basis for value flow in the AI era.
As a new generation "Unified Market Operating System". Through AI execution engines, cross-chain aggregated liquidity, high-performance trading systems, and a content/model assetization system, it provides users with a smarter, more automated, and compoundable full-asset trading and collaboration environment, while also building a foundational basis for value flow in the AI era.
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What are the core barriers of CodexField with top capital joint heavy investment?
CodexField is a future-oriented "AI-driven full-asset trading infrastructure". The platform is committed to allowing various elements such as crypto assets, RWA, model inference capabilities, and content production capacity to be certified, priced, and traded within the same system, and to achieve automated execution and value return through AI. This underlying structure aimed at new asset classes opens up a brand new track for the ecosystem and is supported by a blue ocean market.
Recently, CodexField received strategic investments from top institutions such as ODIG, Blockin Venture, Sky Ventures, BlockBase, and Onebit Ventures, sparking widespread discussion within the industry. In fact, institutional investments in infrastructure projects often have strong directional tendencies, with capital more willing to bet on underlying systems that possess long-term potential and structural advantages. Therefore, it is particularly noteworthy that multiple institutions have made similar judgments within the same time frame.
Recently, CodexField received strategic investments from top institutions such as ODIG, Blockin Venture, Sky Ventures, BlockBase, and Onebit Ventures, sparking widespread discussion within the industry. In fact, institutional investments in infrastructure projects often have strong directional tendencies, with capital more willing to bet on underlying systems that possess long-term potential and structural advantages. Therefore, it is particularly noteworthy that multiple institutions have made similar judgments within the same time frame.
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CodexField Wallet: An intelligent collaborative ecosystem for creative assets based on a unified account layer
CodexField is an infrastructure system aimed at the future content economy, focusing on building a sustainably scalable foundational network that enables creators, models, and applications to operate on the chain with a unified asset structure and collaborative approach. Its core goal is to ensure that code, models, creative outcomes, and applications have the ability to be verified, share profits, and circulate on the chain. This ecosystem, through modules such as underlying storage networks, model invocation platforms, and asset markets, has gradually formed a system structure that covers creation, collaboration, distribution, and revenue closure.
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PoA consensus mechanism drives CodexField: from creation platform to content economy network
CodexField is a new generation Web3 content assetization facility that can regard code, models, data, and multimodal content as new production factors, and attempts to build an infrastructure network that can accumulate, share, and circulate over the long term. The goal of CodexField is to form a forward-looking resource stack that allows all creative and computational results to have clear ownership structures, verifiable usage paths, and sustainable economic cycles.
In the design of CodexField, the lifecycle of content and models is organized into a continuous chain structure. From creation and generation to rights confirmation and labeling, and then to invocation, billing, profit sharing, and subsequent reuse, each link is incorporated into a unified on-chain environment, allowing all actions to be recorded, quantified, and participate in value flow. This structure transforms content and models from one-time products into economic assets that can be reused, reorganized, and grow through compound interest.
In the design of CodexField, the lifecycle of content and models is organized into a continuous chain structure. From creation and generation to rights confirmation and labeling, and then to invocation, billing, profit sharing, and subsequent reuse, each link is incorporated into a unified on-chain environment, allowing all actions to be recorded, quantified, and participate in value flow. This structure transforms content and models from one-time products into economic assets that can be reused, reorganized, and grow through compound interest.
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Decomposing the CodexField Component Gitd: The Underlying Technology and Landing Scenarios of Code Assetization on the Chain
With the large-scale popularization of large models, we see that the subjects of creation are gradually shifting from humans to algorithms: code is automatically generated by AI, application templates can be combined in real-time, model parameters are continuously iterated, and Prompt engineering has even evolved into a new 'software design language.' In such a system, code is becoming the intelligent asset of AI systems, determining the core quality of model behavior, application logic, and content output.
In stark contrast to this trend is the lagging underlying infrastructure. Over 100 million developers worldwide still rely on GitHub as their primary code hosting platform, while GitHub's original design intention has always been as a collaboration tool, not an asset system. This brings a series of unavoidable structural limitations: repository ownership is controlled by the platform; content may be taken down or frozen due to policy, geopolitical, or censorship reasons (such as the sanctions against many developers' repositories in 2022); development records cannot be verified on-chain, code lacks independent ownership proof, and cannot be traded, authorized, or valued like on-chain assets.
In stark contrast to this trend is the lagging underlying infrastructure. Over 100 million developers worldwide still rely on GitHub as their primary code hosting platform, while GitHub's original design intention has always been as a collaboration tool, not an asset system. This brings a series of unavoidable structural limitations: repository ownership is controlled by the platform; content may be taken down or frozen due to policy, geopolitical, or censorship reasons (such as the sanctions against many developers' repositories in 2022); development records cannot be verified on-chain, code lacks independent ownership proof, and cannot be traded, authorized, or valued like on-chain assets.
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AI Playground: CodexField Web3 Content Production Hub
The boundaries of AI creation are rapidly expanding, and we see the capabilities of generative models beginning to extend to application building, logical orchestration, multimodal collaboration, and automated execution. Many processes that originally required manual handling by engineers, such as tool invocation, plugin integration, data processing, model inference, and state management, are now being encapsulated into higher-level AI architectures. Creative activities are gradually shifting from one-time 'content generation' to an 'engineering creation process' completed by models, agents, and toolchains.
This change brings a significant trend: AI-generated content is transitioning from 'results' to 'applications', from 'single files' to a systematic structure composed of scripts, prompts, configuration files, plugins, and logical modules. Traditional generation tools (such as ChatGPT, Midjourney, Runway) can provide a starting point for creation but cannot support the engineering structure behind the creation— including more complex aspects such as multi-file management, application logic, permissions and storage, collaboration and remixing, on-chain integration, and assetization.
This change brings a significant trend: AI-generated content is transitioning from 'results' to 'applications', from 'single files' to a systematic structure composed of scripts, prompts, configuration files, plugins, and logical modules. Traditional generation tools (such as ChatGPT, Midjourney, Runway) can provide a starting point for creation but cannot support the engineering structure behind the creation— including more complex aspects such as multi-file management, application logic, permissions and storage, collaboration and remixing, on-chain integration, and assetization.
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How does CodexField build a self-growing content asset ecosystem?
In an era where artificial intelligence is fully involved in content production, the boundaries of creation are being redefined. Algorithm models, datasets, prompts, and even reasoning results have all become new forms of content and economic elements. However, the existing digital content system still remains at the level of 'output results', lacking value recognition and measurement mechanisms for the underlying production links such as models, algorithms, and data contributions. This means that although content is experiencing explosive growth, it cannot form a genuine asset expression within the economic structure.
The proliferation of AI has made 'generation' extremely easy, but true scarcity is shifting from 'output' to 'ownership and circulation rights'. How are models priced? How is the use of algorithms tracked? How do creators receive ongoing benefits when data is utilized? These questions expose the limitations of the current centralized platform structure—computing power and models are encapsulated as black boxes, and data contributions and content outputs cannot be transparently verified and settled, leading to the innovation value being ultimately captured by the platform.
The proliferation of AI has made 'generation' extremely easy, but true scarcity is shifting from 'output' to 'ownership and circulation rights'. How are models priced? How is the use of algorithms tracked? How do creators receive ongoing benefits when data is utilized? These questions expose the limitations of the current centralized platform structure—computing power and models are encapsulated as black boxes, and data contributions and content outputs cannot be transparently verified and settled, leading to the innovation value being ultimately captured by the platform.
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Analyzing the Five Core Modules of CodexField: Building Next-Generation On-Chain Content Asset Infrastructure
The rise of generative AI is profoundly changing the way production occurs in the digital world. Whether it’s model training, inference, or personalized fine-tuning, the operation of AI has unprecedented demands for the speed of data access, integrity, and governance of permissions. Each invocation represents a real-time collaboration concerning computing power, data, and value. However, the infrastructure supporting all of this remains lagging—most AI applications still operate in highly centralized cloud environments, such as AWS or Google Cloud. These platforms provide stable computing services but have structural flaws in areas such as ownership, revenue sharing, and auditing: the permission system is closed, the authorization process cannot be verified, and there is a lack of direct correspondence between contributors' earnings and data usage. The result is that the value creation process of the AI ecosystem is highly dependent on platforms, yet it is difficult to achieve fair distribution of value.
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The cryptocurrency market has rebounded across the board, with the PayFi sector leading the way with a rise of over 7%. ETH breaks through 3400 USD.
The cryptocurrency market has rebounded across the board, with a general increase of about 2% to 7% over the past 24 hours. Among them, the PayFi sector leads with a rise of 7.31%. Within the sector, Telcoin (TEL) rose by 28.44%, XRP rose by 7.71%, and the previously significantly rising Dash (DASH) fell by 11.41%. Additionally, Bitcoin (BTC) rose by 2.75%, breaking through 103,000 USD; Ethereum (ETH) rose by 5.09%, breaking through 3400 USD. Notably, MAG7.ssi rose by 4.31%, DEFI.ssi rose by 5.05%, and MEME.ssi rose by 3.87%.
In other sectors, the Meme sector rose by 5.51% over 24 hours, with OFFICIAL TRUMP (TRUMP) rising by 16.56% and Giggle Fund (GIGGLE) soaring by 130.10%; the DeFi sector rose by 4.91%, with AERO (Aerodrome Finance) rising by 10.58%; the Layer1 sector rose by 4.66%, with Zcash (ZEC) continuing its upward trend, climbing 11.21% during the session; the Layer2 sector rose by 4.56%, with SOON (SOON) surging by 112.83%; the CeFi sector rose by 3.03%, with Aster (ASTER) rising by 11.55%. The cryptocurrency sector indices reflecting historical market trends show that ssiPayFi, ssiDePIN, and ssiDeFi indices rose by 7.68%, 5.70%, and 5.72%, respectively. $BTC $ETH $BNB
The cryptocurrency market has rebounded across the board, with a general increase of about 2% to 7% over the past 24 hours. Among them, the PayFi sector leads with a rise of 7.31%. Within the sector, Telcoin (TEL) rose by 28.44%, XRP rose by 7.71%, and the previously significantly rising Dash (DASH) fell by 11.41%. Additionally, Bitcoin (BTC) rose by 2.75%, breaking through 103,000 USD; Ethereum (ETH) rose by 5.09%, breaking through 3400 USD. Notably, MAG7.ssi rose by 4.31%, DEFI.ssi rose by 5.05%, and MEME.ssi rose by 3.87%.
In other sectors, the Meme sector rose by 5.51% over 24 hours, with OFFICIAL TRUMP (TRUMP) rising by 16.56% and Giggle Fund (GIGGLE) soaring by 130.10%; the DeFi sector rose by 4.91%, with AERO (Aerodrome Finance) rising by 10.58%; the Layer1 sector rose by 4.66%, with Zcash (ZEC) continuing its upward trend, climbing 11.21% during the session; the Layer2 sector rose by 4.56%, with SOON (SOON) surging by 112.83%; the CeFi sector rose by 3.03%, with Aster (ASTER) rising by 11.55%. The cryptocurrency sector indices reflecting historical market trends show that ssiPayFi, ssiDePIN, and ssiDeFi indices rose by 7.68%, 5.70%, and 5.72%, respectively. $BTC $ETH $BNB
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Wormhole Reserve Increased by 1 Million W
Wormhole tweeted that its reserves have increased by 1 million W. The protocol revenue and value generated by Wormhole, Wormhole Portal, and ecosystem applications are all funneled into W, and the proceeds will be used for Wormhole reserves. $W
Wormhole tweeted that its reserves have increased by 1 million W. The protocol revenue and value generated by Wormhole, Wormhole Portal, and ecosystem applications are all funneled into W, and the proceeds will be used for Wormhole reserves. $W
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The total net outflow of Bitcoin spot ETF yesterday was 137 million USD, continuing a net outflow for 6 days.
Yesterday (Eastern Time November 5), the total net outflow of Bitcoin spot ETF was 137 million USD. The Bitcoin spot ETF with the highest single-day net inflow yesterday was Fidelity ETF FBTC, with a single-day net inflow of 113 million USD, and the historical total net inflow of FBTC has reached 12.198 billion USD. The second highest was Ark Invest and 21Shares' ETF ARKB, with a single-day net inflow of 82.9371 million USD, and the historical total net inflow of ARKB has reached 1.989 billion USD. The Bitcoin spot ETF with the highest single-day net outflow yesterday was Blackrock ETF IBIT, with a single-day net outflow of 375 million USD, and the historical total net inflow of IBIT has reached 64.341 billion USD.
As of the time of writing, the total net asset value of Bitcoin spot ETF was 139.147 billion USD, and the ETF net asset ratio (the market value relative to the total market value of Bitcoin) reached 6.72%, with a historical cumulative net inflow of 60.285 billion USD. #BTC $BTC
Yesterday (Eastern Time November 5), the total net outflow of Bitcoin spot ETF was 137 million USD. The Bitcoin spot ETF with the highest single-day net inflow yesterday was Fidelity ETF FBTC, with a single-day net inflow of 113 million USD, and the historical total net inflow of FBTC has reached 12.198 billion USD. The second highest was Ark Invest and 21Shares' ETF ARKB, with a single-day net inflow of 82.9371 million USD, and the historical total net inflow of ARKB has reached 1.989 billion USD. The Bitcoin spot ETF with the highest single-day net outflow yesterday was Blackrock ETF IBIT, with a single-day net outflow of 375 million USD, and the historical total net inflow of IBIT has reached 64.341 billion USD.
As of the time of writing, the total net asset value of Bitcoin spot ETF was 139.147 billion USD, and the ETF net asset ratio (the market value relative to the total market value of Bitcoin) reached 6.72%, with a historical cumulative net inflow of 60.285 billion USD. #BTC $BTC
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Ethereum spot ETF had a total net outflow of 119 million USD yesterday, continuing a 6-day net outflow.
Yesterday (Eastern Time November 5), the total net outflow of Ethereum spot ETF was 119 million USD. The Ethereum spot ETF with the highest single-day net inflow yesterday was Grayscale Ethereum Trust ETF ETH, with a single-day net inflow of 24.0561 million USD, currently bringing ETH's historical total net inflow to 1.49 billion USD. The second was Fidelity ETF FETH, with a single-day net inflow of 3.4532 million USD, currently bringing FETH's historical total net inflow to 2.644 billion USD. The Ethereum spot ETF with the highest single-day net outflow yesterday was Blackrock ETF ETHA, with a single-day net outflow of 147 million USD, currently bringing ETHA's historical total net inflow to 13.828 billion USD.
As of the time of writing, the total net asset value of Ethereum spot ETF is 22.738 billion USD, with an ETF net asset ratio (the ratio of market value to the total market value of Ethereum) reaching 5.46%, and the historical cumulative net inflow has reached 13.895 billion USD. $ETH #ETH🔥🔥🔥🔥🔥🔥
Yesterday (Eastern Time November 5), the total net outflow of Ethereum spot ETF was 119 million USD. The Ethereum spot ETF with the highest single-day net inflow yesterday was Grayscale Ethereum Trust ETF ETH, with a single-day net inflow of 24.0561 million USD, currently bringing ETH's historical total net inflow to 1.49 billion USD. The second was Fidelity ETF FETH, with a single-day net inflow of 3.4532 million USD, currently bringing FETH's historical total net inflow to 2.644 billion USD. The Ethereum spot ETF with the highest single-day net outflow yesterday was Blackrock ETF ETHA, with a single-day net outflow of 147 million USD, currently bringing ETHA's historical total net inflow to 13.828 billion USD.
As of the time of writing, the total net asset value of Ethereum spot ETF is 22.738 billion USD, with an ETF net asset ratio (the ratio of market value to the total market value of Ethereum) reaching 5.46%, and the historical cumulative net inflow has reached 13.895 billion USD. $ETH #ETH🔥🔥🔥🔥🔥🔥
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The US Solana spot ETF had a total net inflow of 9.7 million USD in a single day, with net inflows for 7 consecutive days.
As of November 5th, Eastern Time, the total net inflow of the US Solana spot ETF was 9.7 million USD, continuing net inflows for 7 days. The Bitwise Solana spot ETF BSOL had a net inflow of 7.46 million USD in a single day, with a historical total net inflow of 283 million USD. The Grayscale Solana spot ETF GSOL had a net inflow of 2.24 million USD in a single day, with a historical total net inflow of 10.99 million USD.
As of the time of writing, the total net asset value of the Solana spot ETF was 531 million USD, with a net asset ratio of 0.59%, and the historical cumulative net inflow reached 294 million USD. $SOL
As of November 5th, Eastern Time, the total net inflow of the US Solana spot ETF was 9.7 million USD, continuing net inflows for 7 days. The Bitwise Solana spot ETF BSOL had a net inflow of 7.46 million USD in a single day, with a historical total net inflow of 283 million USD. The Grayscale Solana spot ETF GSOL had a net inflow of 2.24 million USD in a single day, with a historical total net inflow of 10.99 million USD.
As of the time of writing, the total net asset value of the Solana spot ETF was 531 million USD, with a net asset ratio of 0.59%, and the historical cumulative net inflow reached 294 million USD. $SOL
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SAPIEN briefly reached 0.358 USDT, with a 1-hour increase of 134.72%
According to Bitget market data, the brief surge to 0.358 USDT for SAPIEN may have been influenced by the Binance HODLer airdrop for Sapien (SAPIEN). It is now reported at 0.283 USDT, with a 1-hour increase of 134.72%.$SAPIEN #SapienToMoon
According to Bitget market data, the brief surge to 0.358 USDT for SAPIEN may have been influenced by the Binance HODLer airdrop for Sapien (SAPIEN). It is now reported at 0.283 USDT, with a 1-hour increase of 134.72%.$SAPIEN #SapienToMoon
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A newly created wallet went long on ZEC with 5x leverage, floating profit of 2.4 million dollars
According to Onchain Lens monitoring, after the trading price of ZEC broke 500 dollars, a newly created wallet deposited 2.19 million USDC into HyperLiquid 3 days ago and opened a long position on ZEC with 5x leverage, currently achieving a floating profit of 2.4 million dollars. This position currently holds 3000 ZEC, worth over 15 million dollars. $ZEC
According to Onchain Lens monitoring, after the trading price of ZEC broke 500 dollars, a newly created wallet deposited 2.19 million USDC into HyperLiquid 3 days ago and opened a long position on ZEC with 5x leverage, currently achieving a floating profit of 2.4 million dollars. This position currently holds 3000 ZEC, worth over 15 million dollars. $ZEC
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