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BTC $67,446.32 +0.65%
ETH $2,057.67 +0.14%
BNB $591.99 +0.57%
XRP $1.31 -0.77%
SOL $81.09 +0.68%
TRX $0.3173 +0.92%
DOGE $0.0919 -0.01%
ADA $0.2460 -0.92%
BCH $442.54 +0.12%
LINK $8.69 -0.26%
HYPE $35.99 -0.05%
AAVE $94.63 -0.70%
SUI $0.8669 -1.14%
XLM $0.1610 -1.91%
ZEC $247.72 +5.32%

dynamic

Gate Web3 Meme Go launches "X Monitoring": Track KOL dynamics and seize meme wealth opportunities with one click

According to official news, Gate Web3's efficient trading tool Meme Go has officially launched "X Monitoring." As a strategic intelligence component of the Gate platform ecosystem, "X Monitoring" builds a real-time response link from social sources to on-chain data. This feature aims to help users accurately capture early narratives and trading opportunities in the rapidly changing Meme market by aggregating tweets from a vast number of top KOLs and on-chain whales. "X Monitoring" carefully selects the most influential KOLs and celebrity addresses in the crypto field, filtering out noise to reach high-quality information sources; at the same time, it utilizes AI semantic recognition technology to automatically detect tokens mentioned in tweets and real-time associate price and 24-hour fluctuation data, supporting one-click access from insights to trading.In addition, the built-in real-time translation engine can break down language barriers, helping users track global market dynamics. Currently, users can access this feature through the Gate Web3 web interface, achieving a closed-loop decision-making process from social signal monitoring to on-chain trading.Meme Go is an efficient Meme trading and chain scanning tool launched by Gate Web3, helping users accurately capture token issuance and trading opportunities through millisecond-level full-chain scanning, intelligent trading engines, and customized analysis, driving efficient returns.

4E: The dynamics of ETH whales and institutional selling pressure signals intertwine, with on-chain sentiment significantly warming up

According to 4E observations, the risk of long positions held by the most watched "CZ counterpart giant whales" on-chain is rapidly easing. Their ETH long positions, which fell to $2623 last week, were only $28 away from the liquidation price of $2595, resulting in a floating loss of $44 million. Now, the floating loss has shrunk to $16.13 million, recovering $27.87 million. To fully break even, the position still requires ETH to rebound to $3200.On the other side, there has been a rare movement from "ancient giants" on-chain. A whale that holds 254,900 ETH obtained from early ICOs has seemingly sold 20,000 ETH after eight months, valued at approximately $58.14 million, with an entry cost of only $0.31. The whale recently deposited 20,000 ETH into FalcoinX at a price of $2906 and currently still holds 3,070 ETH on-chain.On the staking side, SharpLink (SBET) added 443 ETH staking rewards in the past week, accumulating a total of 7,846 ETH since June this year, indicating that the ETH staking yield structure remains robust.In public opinion, Arca CIO Jeff Dorman once again refuted the rumor that "Strategy (MSTR) was forced to sell BTC," emphasizing that unless BTC falls to a level that makes selling meaningless, Strategy does not need to sell assets at all, and the market rumors are largely misunderstandings.4E Commentary: The combination of four signals—whales reducing losses, ancient whales cashing out, stable staking yields, and institutional refutations—indicates that current ETH sentiment is shifting from extreme pessimism to neutrality. Short-term volatility remains high, but the structural risks on-chain are decreasing, and the market is re-entering a "cautiously bullish" observation window.

OlaXBT signs a memorandum of cooperation with Fengqi Financial: AIO NEXUS further enhances the capabilities of "dynamic credit evaluation × risk warning × voice recognition."

Web3 AI data platform OlaXBT announced a memorandum of understanding with Funki Finance. OlaXBT will provide pre-processed, auditable multi-source datasets and foundational machine learning models through the AIO NEXUS Data Layer to support Funki Finance's existing deep learning dynamic credit scoring model, AI fully automated loan approval system, time series forecasting analysis platform, and anomaly detection risk monitoring dashboard.This collaboration will focus on expanding credit features and interpretability, enhancing market volatility foresight, shortening overdue warning times, and improving multi-language STT (speech-to-text) accuracy and low latency, thereby driving a dual upgrade of inclusive finance and risk control capabilities through technology. Through this partnership, both parties will establish a joint KPI and A/B testing framework, implementing it in phases under the principles of compliance and privacy-first, continuously optimizing user experience, improving approval efficiency, and reducing capital mismatch risks.OlaXBT is a decentralized AI data infrastructure equipped with a powerful financial data layer AIO NEXUS, multi-factor analysis patented technology, and MCP server market. It provides reinforcement learning AI agents that can deliver strategy information in real-time; employs a hybrid architecture to preprocess macro data, on-chain indicators, and sentiment analysis for tracking large fund movements, trend judgments, automated treasury management, and AI agent minting functions.Funki Finance is a licensed money lender in Hong Kong and a wholly-owned subsidiary of the listed company King Yat Holdings Limited (HKEX: 00070). Positioned as a fintech company, it is committed to providing flexible and convenient online loans and one-stop financial services through innovative technology, emphasizing credit management and risk control, and continuously introducing deep learning and machine learning technologies to optimize decision-making processes.

Canton Network (CC) discloses dynamic supply model, denying fixed maximum supply cap

Canton Network recently issued a statement to clarify the market's misunderstanding regarding its native token, Canton Coin (CC), which has a "supply cap" of 100 billion, and to explain its dynamic supply model.The official statement indicated that CC adopts a supply mechanism similar to Ethereum and Solana, with an infinite cap but a stable actual supply. CC does not have a fixed cap, but each transaction burns CC, offsetting new issuance. The higher the network usage, the more is burned, resulting in lower net issuance, ultimately forming a mint-burn equilibrium (BME).The official emphasized that the value of CC should be measured by market capitalization rather than theoretical supply cap.Supply outlook and key milestones:After entering BME, the total supply will fluctuate stably around network demand. According to the current model, if balance is achieved by 2026, the total supply may be below 50 billion by 2034.On January 1, 2026, a "double halving" will occur: the total block issuance will be halved, and the Super Validator (SV) share will decrease from 48% to 20%.Three years later, another "double halving" will occur, further reducing the SV issuance share to 10%, making it the only major source of inflation that gradually shrinks.Canton Network stated that it has burned over 1 billion CC to date, with a daily burn value of approximately 900,000 USD. As issuance decreases, it is expected that by the early 2030s, the inflation rate of CC will become one of the lowest among mainstream Layer-1s.
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