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「ai data」の記事18件 · クリア
SWI Secures Funding to Transform Former FTX-Linked Bitcoin Miner to AI, Quantum-Safe Bitcoin Research Advances
SWI Group has raised €800 million to pivot Genesis Digital Assets, formerly linked to FTX and Bitcoin mining, towards an AI-focused data center model. Concurrently, research suggests that quantum-safe protection for Bitcoin may have become
2026年10月13日
Rollups Explained: Optimistic vs Zero-Knowledge
Rollups run transactions off the main chain and post data back to it. Learn how optimistic and zero-knowledge rollups differ, and the risks that remain.
2026年10月11日 · 5分で読めます
How to Assess a Project's Real Usage with On-Chain Data
On-chain metrics show whether a crypto project is really used. Learn which data to check, how to spot faked activity and a simple step-by-step process.
2026年10月10日 · 5分で読めます
Chainlink vs Pyth: Oracle Networks Compared
Chainlink vs Pyth compared: how each oracle sources and delivers data, push vs pull models, token roles, strengths, risks and which apps tend to use which.
2026年10月8日 · 5分で読めます
Moving Averages Explained (SMA and EMA)
A moving average smooths price data to show the trend. Learn how SMA and EMA are calculated, how traders use them in crypto and where they mislead.
2026年10月6日 · 5分で読めます
Stablecoin Growth as a Bull Market Signal
Does rising stablecoin supply signal a bull market? Learn how the indicator works, what history shows, where it misleads and how to read it in 2026–2027.
2026年10月5日 · 4分で読めます
Chainlink vs Band Protocol: Key Differences Explained
Chainlink vs Band Protocol compared: how each oracle network delivers data to smart contracts, what LINK and BAND do, supply design and key risks.
2026年10月4日 · 4分で読めます
Sui vs Solana: Key Differences Explained
Sui vs Solana compared: data models, consensus, programming languages, token use, supply design and risks, in one side-by-side table with no hype or picks.
2026年10月4日 · 5分で読めます
What Is OriginTrail (TRAC)? How It Works, Uses and Risks
What is OriginTrail? Learn how its Decentralized Knowledge Graph works, what the TRAC token is used for, its supply design and the risks to check first.
2026年10月4日 · 4分で読めます
What Is Numeraire (NMR)? How It Works, Uses and Risks
What is Numeraire? Learn how Numerai's NMR token lets data scientists stake on stock-market predictions, how burning works, and the main risks to weigh.
2026年10月4日 · 4分で読めます
Crypto Seasonality: Do Certain Months Matter in a Bull Run?
Crypto seasonality explained: the monthly patterns traders talk about, why the data behind them is thin, and how to use the calendar without trading on it.
2026年10月4日 · 5分で読めます
Oracles and Data Networks in the Next Bull Run
Crypto oracles in 2026 and 2027: how oracle networks like Chainlink and Pyth work, what could drive demand, how tokens capture value and the key risks.
2026年10月4日 · 5分で読めます
Ocean Protocol (OCEAN) Price Prediction 2026–2027: Drivers, Scenarios and Risks
Ocean Protocol price prediction 2026 explained: what OCEAN does, the ASI merger question, data and AI catalysts, risks and bull, base and bear scenarios.
2026年10月4日 · 5分で読めます
Celestia (TIA) Price Prediction 2026–2027: Drivers, Scenarios and Risks
Celestia price prediction 2026 explained: what drives TIA, data availability demand, rollup adoption, inflation and unlocks, 2026–2027 scenarios and key risks.
2026年10月4日 · 5分で読めます
Grass (GRASS) Price Prediction 2026–2027: Drivers, Scenarios and Risks
Grass price prediction 2026 explained: what drives GRASS, AI data demand and bandwidth sharing, unlocks, legal questions, 2026–2027 scenarios and key risks.
2026年10月4日 · 5分で読めます
Market Cap vs Fully Diluted Valuation (FDV): What Investors Miss
Market cap vs FDV explained: how each is calculated, why a large gap signals future dilution, and a simple checklist for reading token supply data correctly.
2026年10月3日 · 5分で読めます
KYC and AML in Crypto Explained
KYC and AML in crypto explained: what exchanges check, why they ask for ID, how transaction monitoring works and how to protect your data while complying.
2026年10月3日 · 5分で読めます
How to Research a Crypto Project Before Investing: A Step-by-Step Framework
A practical framework to research a crypto project before investing: identity, problem, team, tokenomics, on-chain data, security and red flags.
2026年10月3日 · 5分で読めます