Crypto research, written by a trader who builds

Brazil's Ibovespa had its largest daily decline since 1998 after President Lula's re-election, triggering a trading halt. Why markets react to surprises against what was priced in, not to the news itself.

The S&P 500 forward PEG ratio hit 0.70, the lowest in 30 years, while prices sit near record highs. Why a low PEG built on analyst forecasts is a reason for caution, not comfort.

Lessons from building ARIB Research, a crypto market intelligence platform with five live tools for macro, derivatives, on-chain, sentiment and technical analysis.

How leverage and forced liquidations turn small crypto price moves into sudden cascades, which data to watch for crowded positioning, and what traders can do about it.

A practical introduction to on-chain analysis: what exchange inflows and outflows mean, which signals actually matter for trading, and the common mistakes to avoid.

Why narratives drive crypto prices, why most sentiment indicators fail, and how combining news, Reddit and AI models like CryptoBERT gives a more honest sentiment signal.

How the dollar, interest rates, inflation and central-bank policy drive Bitcoin, and how a single 0–100 macro regime score turns that backdrop into something a trader can act on.

The framework I use to decide what a crypto trading app builds next: trader impact against engineering cost, tested against live trading before any developer time is spent.

A trader's guide to funding rates, open interest and liquidations in crypto perpetual futures, and how to use them to spot crowded positioning before it unwinds.

Why lower timeframes are mostly noise in crypto, and the simple higher-timeframe support and resistance framework I use for every trade after 5+ years in the markets.

What a crypto product manager does day to day: finding features traders need, working with developers and designers, clearing finance wording with legal, and shipping. From a product strategist who owns two trading apps.