Category: AI Tools in Crypto

Why “cheap” on-chain transactions aren’t actually cheap The illusion of low fees and where the real money leaks When people make their first on-chain transfers, they usually stare at one number only: the network fee shown in the wallet. It might look tiny, especially in quiet hours, and that creates a trap — you focus…

Why data licensing in crypto research suddenly got complicated If you were doing crypto research back in 2017–2019, you probably remember the wild west: dozens of free APIs, barely any rate limits, and essentially zero conversations about licensing. Fast‑forward to 2025 and the mood has changed dramatically. Exchanges delist coins overnight, regulators ask who owns…

Why publishing crypto research in 2025 is a very different game Crypto in 2025 is not the wild west it was in 2017–2021. Research has become a product. Funds pay five figures per month for solid on‑chain analytics. Retail traders buy niche reports. Protocols sponsor deep dives. And the same piece of work can (and…

Why checkpointing matters in messy crypto research Crypto research workflows are rarely linear. You scrape historical on-chain data, normalize it, run a battery of indicators, maybe train a model, then tweak one tiny parameter and everything diverges. Without explicit checkpointing you end up with notebooks named “final_v7_really_final.ipynb” and no reliable way to reproduce a promising…

Why regulatory compliance in crypto research now feels different Crypto research in 2025 sits in a strange spot: it’s still experimental enough to break new ground every month, but already regulated enough that sloppy handling of data, tokens or users can trigger very real enforcement actions. Whether you’re building metrics dashboards, writing DeFi risk reports…

If you’re serious about crypto, you eventually hit the same wall: raw blockchain data is everywhere, but getting precise answers is painfully hard. “How many new wallets actually stuck around after using my dApp?” or “Which liquidity providers are quietly exiting?” Suddenly you’re knee‑deep in hex, logs, and weird indexing rules. Advanced query techniques for…

Why assessing cross‑chain solutions is trickier than it looks Before you start googling bridges and SDKs, стоит признать очевидное: ни один инструмент не даст идеальную совместимость блокчейнов. Cross‑chain — это всегда компромисс между безопасностью, скоростью и удобством. Поэтому задача не в том, чтобы найти «магический» протокол, а в том, чтобы осознанно выбрать набор решений под…

Why Data-Driven DeFi Governance in 2025 Is a Big Deal DeFi in 2025 doesn’t look like the wild West of 2020 anymore. Capital is more institutional, users are more demanding, and regulators are finally paying attention. Governance is no longer просто голосование за эмодзи в форуме — это фактически управление многомиллиардными казначействами и системами стимулов.…

Why evaluating crypto theses under uncertainty is a different game When you buy crypto in an uncertain market, you’re not just picking coins — you’re betting on narratives, incentives, and game theory you can’t fully observe. There’s no clean discounted cash flow model, no audited income statement that neatly explains the upside. So your approach…

Why funding rate comparison suddenly matters so much Perpetual фьючерсы сегодня — основной инструмент спекуляций в крипте. На крупных биржах их объём уже несколько лет стабильно превышает спотовый, а периоды перегрева рынка в 2021 и 2024 годах показали, насколько агрессивно могут вести себя финансирования. Для трейдера perpetual futures funding rates comparison — это не академическое…