Category: AI Tools in Crypto

Before you touch a line of code or spin up a token contract, you should know exactly what you’re auditing and why. A tokenomics audit isn’t just checking some numbers in a spreadsheet; it’s a structured deep dive into how value moves through your system, who gets what, when, and under which conditions. Done right,…

Why benchmarking AI crypto tools matters more than hype Most people pick AI crypto tools based on flashy dashboards, Twitter threads and a couple of lucky trades. That’s a good way to get burned. Benchmarking is how you separate marketing from actual edge. When you test methodically, you can see whether a model really adds…

Why data provenance in crypto suddenly became everyone’s problem За последние несколько лет тема «откуда взялись эти данные и можно ли им верить» в крипте превратилась из академического вопроса в практический вопрос выживания проектов. Регуляторы требуют прозрачности, фонды требуют объяснимой отчётности, пользователи — доказуемой честности. Любой худший сценарий — от делистинга до расследования — почти…

Why crypto journalism needs its own AI playbook If you cover crypto, you already know how fast a rumor can pump a token and how slow corrections travel by comparison. Add generative models into this mix and you get a new risk layer: AI can draft a breaking story in minutes, but it can also…

Why event studies matter in crypto (and why most people misuse them) If you’ve ever watched Bitcoin rip 12% in an hour after a random SEC headline and thought “there must be a pattern here”, you were already thinking in terms of event studies — just without the formal framework. In traditional finance, event studies…

Why macro suddenly matters so much for crypto If you traded crypto in 2016–2019, it often felt like a self-contained universe: narratives, halving cycles, ICO seasons, DeFi summers. Macroeconomics lived somewhere far away on Bloomberg terminals. That world is gone. Since 2020, crypto has been sucked into the same gravity field as stocks, bonds and…

Why reusable crypto analytics components actually matter From one-off scripts to real products Every crypto team I know starts одинаково: кто-то вбивает пару SQL-запросов к Dune или пишет Python-скрипт к API биржи, собирает пару графиков — и это «аналитика». Через месяц запросов уже десятки, метрик сотни, а crypto analytics dashboard components рассыпаются при каждом изменении…

Modular thinking sounds fancy, but at its core it’s just the habit of breaking anything complex into clean, reusable blocks. Code, furniture, music gear, even your weekly schedule can be modular. When you learn how to create modular systems, you stop rebuilding from scratch and start composing from well‑designed parts. Newcomers usually do the opposite:…

Interpreting yield curves in crypto markets can feel mysterious at first, but once you see how rates at different maturities line up, a lot of the noise in DeFi suddenly starts to make sense. In traditional finance, the yield curve is mostly about government bonds; in crypto, it’s a moving snapshot of how the market…

Tactical Guide to Crypto Publication Workflows in 2025 If you’ve tried to publish anything serious in crypto, you already know: the hard part isn’t just *writing* — it’s orchestrating ideas, approvals, compliance, channels, timing, and metrics across a messy, fast‑moving ecosystem. This is where a deliberate, tactical crypto publication workflow turns chaos into something predictable…