Category: Новости
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Social media signals for crypto trading: how to interpret market sentiment
Why social media still moves crypto in 2025 If you’ve been in the market for more than five minutes, you already know: prices don’t just react to news, they react to vibes. Twitter (да, многим всё равно удобнее звать его так), Telegram, Discord, TikTok, даже Farcaster — всё это превратилось в гигантский индикатор настроений. В…
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Modular analytics platform for crypto firms: how to build a scalable data stack
Why crypto firms need a different kind of analytics platform Most crypto companies start with spreadsheets, block explorers and a couple of APIs, then suddenly discover they’re expected to operate like banks: instant investigations, audit‑ready reports, zero‑tolerance to mistakes. At this point a modular crypto analytics platform for enterprises stops being “nice to have” and…
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Practical guide to token liquidation and exit strategies for crypto investors
Why liquidation and exits matter more than entries Most people obsess over entries and narratives, but in practice your PnL is defined by exit discipline and execution quality. When we talk about practical crypto token liquidation strategies, we’re really talking about how to turn volatile on‑chain numbers into stable off‑chain purchasing power with minimal slippage,…
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Defining success metrics for crypto research teams to measure impact and performance
Why classic metrics fail crypto research teams If you try to judge a crypto research team the same way you judge a trading desk, you almost guarantee frustration. Markets are too noisy, cycles too brutal. In 2021–2024 total crypto market cap swung from ~3T to under 900B and back above 2T (CoinGecko / CMC data),…
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Ethical considerations in crypto data science research and responsible innovation
Ethics in crypto data science: why it suddenly matters so much Crypto data science used to be a niche hobby: a couple of dashboards, some on-chain charts, и a few curious quants. Now it’s a full-blown industry. By 2024, global crypto market cap колебался в диапазоне $1.5–2.5 трлн, а объёмы on-chain–данных растут ежедневно. Аналитики работают…
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Crypto volatility clustering and regime shifts: the science behind market patterns
Why crypto volatility looks “crazy” but isn’t random at all If you’ve watched Bitcoin jump +12% in a single afternoon and then do almost nothing for three days, you’ve already seen the core phenomenon этой статьи в действии: волатильность в крипте не равномерна, она приходит «кучками». Экстремные движения тяготеют к тому, чтобы группироваться во времени,…
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Blockchain data architecture basics for researchers: foundational concepts
Why blockchain data architecture matters for researchers When you move from reading whitepapers to doing actual empirical work on Ethereum, Bitcoin, Solana or any other network, the first hard wall you hit is data. Raw blocks and transactions are technically “public”, but without a clear blockchain data architecture you end up drowning in JSON, RPC…
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How to design effective crypto market briefs for executives that drive decisions
Why executives need a different kind of crypto market brief Most crypto reports are written either for traders or for techies. Executives sit somewhere else entirely: they don’t have time for Twitter drama, but they do need a clear, structured crypto market research report for executives that translates noise into decisions. A good brief cuts…
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Backtesting crypto strategies with event studies: key techniques and pitfalls
Why event studies matter for crypto backtesting Event studies звучат академично, но по сути это простой вопрос: «Что происходило с ценой до и после конкретного события?» В традиционных финансах так смотрят на отчёты компаний, регуляторные новости, сплиты акций. В крипте события другие: листинг на крупной бирже, хардфорк, запуск стейкинга, твит главы проекта, крупный unlock токенов,…
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Evaluating risk-adjusted returns in volatile markets: methods and key metrics
Why Risk-Adjusted Returns Matter More Than Ever in 2025 If the last few years taught investors anything, it’s this: raw performance numbers lie. In a world of AI-fueled trading, meme cycles, fragmented liquidity and geopolitical shocks, you can’t judge a portfolio just by its absolute return. Evaluating risk-adjusted returns in volatile markets is the shift…