The Mission of Kaito AI

Kaito AI aims to revolutionize Web3 information access. By indexing terabytes of unstructured data and turning it into searchable and actionable insights, it empowers users to make more informed decisions. With cutting-edge innovations and solutions, Kaito AI is propelling the industry forward.

MetaSearch: The Most Comprehensive Web3 Knowledge Platform

Kaito AI provides detailed insights into any asset, topic, or trend in the Web3 space within seconds.

Advantages of MetaSearch:

• Minimizes time spent on research.
• Helps avoid blind spots and aids in understanding market trends.
• Offers real-time, enterprise-specific information.

Key Features of Kaito AI

Powered by custom-built LLMs (Large Language Models), Kaito AI delivers concise and valuable information extracted from long-form content.

• Automatic Summarization: Lengthy articles, reports, or forum posts are condensed into digestible summaries.
• Accurate Data Access: Filters out spam and bot-generated data, providing only high-quality insights.
• Sentiment Analysis: Tracks overall emotional trends within the crypto community.

The Story Behind Kaito AI

Founded in 2022 by Yu Hu, Kaito AI was created to democratize Web3 information access. With eight years of experience in the traditional finance sector, Yu Hu established Kaito AI to equip users with the tools they need to better understand the ever-evolving nature of the industry.

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Since its inception, Kaito AI has raised $10.8 million in funding, positioning itself as a major player in the industry. Backed by top-tier funds such as Dragonfly Capital, Sequoia Capital, and Spartan, the platform leverages innovative technology to shape the future of the market.

Advantages of Kaito AI

Fast Research:

• Search any symbol, topic, or trend within seconds.
• Instantly discover insights from over 10,000 premium Web3 sources.
• Extract meaningful insights from unstructured data.

Reduce Decision Times:

• Minimize time spent on manual research.
• Locate critical information through Web3-tailored Twitter searches.
• Analyze millions of messages, free from noise.
• Access over 500,000 research papers, blogs, and technical documents in one place.

Monitor Market Trends:

• Avoid blind spots and understand market movements.
• Identify emerging narratives through social signals.

NFT Collections and Yaps Program

Genesis NFT Collection:
In December 2024, Kaito AI launched its limited-edition Genesis NFT collection, comprising only 1,500 NFTs. These NFTs are traded on OpenSea, with a current floor price of approximately 8 ETH.

Yaps System:
The Yaps system is designed to measure and reward contributions within the Web3 community, encouraging engagement and meaningful participation.

Kaito AI’s Future and InfoFi Roadmap

Kaito AI addresses one of the biggest challenges in the Web3 space: fragmented information access. With its InfoFi roadmap, the platform is expected to roll out new features and services that will further enhance its offering.

With its innovative and robust structure, Kaito AI is poised to become an indispensable tool for crypto whales and institutional investors. While its premium subscription cost may seem like a barrier, the unique benefits it provides are set to secure its position as a key player in the industry.

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Lunde pointed out that these interactions now capture one liquidation per second rather than monitoring all liquidations, thus distorts the picture of the real market risk levels. Underlining that this issue has persisted for the previous three years, Lunde said: “Liquidation data from exchanges are bogus and a vast underrepresentation of actual liquidation volumes in the market.”

Analyzers and traders depend on liquidation data as they help them to grasp leverage ratios and market risk tolerance. Understanding the effect of unanticipated volatility and deciding if significant market occurrences, like Crypto Black Monday on August 5, when Bitcoin dropped rapidly below $50,000, completely eliminate leverage depend on accurate data.

According to the report, exchanges may be keeping an informational advantage for their own trading requirements or suppressing data for public relations reasons. Lunde claimed some exchanges even own investment firms with trading based on knowledge not known by the rest of the market.

While it may help some comprehend leverage flush-outs, tracking changes in open interest—a indication of the value of crypto futures yet to expire—may not fully represent the mechanics of the market during liquidation events.

Coinglass, a crypto derivatives analytics platform, shows that, at the time of writing, 83% of 56,958 traders liquidated during the preceding 24 hours equivalent to $156.7 million. Lunde, on the other hand, notes that this data also originates from the same interactions probably underreporting liquidation totals.

“For now, liquidation data are mostly erroneous entertainment and not actionable,” Lunde remarked. Lunde advised traders handling the erratic crypto markets to handle revealed data cautiously.

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The post Crypto Liquidations Likely Underreported, Researcher Warns of Misleading Market Data appeared first on Coin Engineer.