A careful introduction to the recurring phases of crypto markets, how people describe them, what tends to drive them, and why no cycle model is a reliable forecast.
A dated walk through notable Bitcoin and crypto price swings since 2010, with the causes commonly cited, and why none of them should be read as a template for the future.
Why many altcoins tend to move with Bitcoin, how correlation is measured on a scale from minus one to one, where the link weakens, and what it can and cannot tell you.
How crypto market capitalization is calculated from price and circulating supply, what it does and does not measure, and why it is not the same as money invested.
How interest rates, inflation figures and other economic data are discussed alongside crypto prices, and why the relationship is inconsistent and hard to rely on.
How major breaches such as Mt. Gox, The DAO, Bitfinex, Ronin and Bybit have shown up in crypto market data, and why the price effect depends on what was hit.
How to follow crypto news without being misled: the types of sources, how to judge reliability, how to separate reporting from rumor, and habits that reduce noise.
What network effects mean for crypto, which adoption metrics are discussed alongside prices, and why rising usage and rising prices do not always move together.
Documented cases of social media posts moving crypto prices, described factually, along with why attention can move thinly traded coins and how to read such claims.
How basic price formation works for coins with fixed or scheduled issuance, why a limited supply does not guarantee rising prices, and what actually changes the balance.