Crypto Calendar

A crypto calendar aggregates time-based events that move markets: macro releases (CPI, FOMC, payrolls), token unlocks and vesting cliffs, options and futures expiries, protocol upgrades and hard forks, plus regulatory hearings and rulings.

A calendar is a risk-management tool, not a directional one. Two practical rules: the direction of a known event is unpredictable but its volatility is not — implied vol rises into major releases and collapses after (IV crush), which matters more for options than spot; and days stacking several events (a CPI print landing on a large options expiry) tend to produce outsized moves in thin liquidity, where cutting size beats guessing direction.

Macro correlation metrics gauge how tightly crypto tracks traditional markets. Correlation coefficients are notoriously unstable and flip with the liquidity regime, so read them on a rolling basis rather than as a single number.

A usable events calendar needs three layers of metadata on every entry: a severity tier, because a CPI print and a minor testnet upgrade do not belong in the same visual weight; a precise timestamp in UTC with the trading session marked; and a source link for verification. Unlock entries deserve special care. Vesting schedules are read from token contracts and foundation disclosures, but actual sell pressure depends on who receives the tokens and whether they are already hedged, so the dollar figure attached to an unlock is a ceiling, not a forecast. Derivatives expiries follow fixed rules, with monthly and quarterly cycles on CME and weekly through quarterly tenors on Deribit, and their impact concentrates in the final days as open interest rolls. The compounding cases matter most: when a macro release lands within hours of a large options expiry, hedging flows and event repricing interact, and historical moves on such days sit well outside the normal distribution of daily ranges.

The live chart for this metric is still being wired up. Gold/equity correlation plus M2 and rates pages already carry real data.