“The Truth About M2, the Dollar and Bitcoin”
If you spend any time on X (Twitter), you’ve probably seen the same chart over and over: a big orange Bitcoin line pasted on top of the M2 money supply or the US dollar index, with someone shouting “Money printer go brrr = BTC up” or “Dollar down, Bitcoin moon.” It looks clean. It feels logical. And it’s way too simple.
The relationship between global liquidity, the strength of the dollar, and Bitcoin’s price is real – but it’s not a one-line slogan. It works on different time scales, in different market regimes, and it absolutely does not mean that every uptick in M2 or dip in the dollar is an automatic buy signal for BTC. Recent analysis published by CryptoSlate digs into the data and shows how much nuance is missing from the influencer narrative.
The Influencer Version: One Chart, One Story.
Influencers like to say two things:
When M2 (broad money supply) rises, Bitcoin rallies a few months later.
When the US dollar index (DXY) falls, Bitcoin goes up and vice versa.
There is truth in both statements. Over the last year, Bitcoin has generally moved in the same direction as global liquidity and in the opposite direction of the dollar.
But that’s just the background, not a precise trading rule. If you zoom into daily price action, the neat correlations almost disappear.
The problem? Social media tends to freeze one lucky period, cherry-pick a lag, and present it as a permanent law of nature.
What the Data Actually Shows
12 months of daily data for:
Bitcoin’s price
Global M2 money supply
The US dollar index (DXY)
To test the “money printing leads Bitcoin by 12 weeks” claim, the author shifted M2 forward by 84 days (roughly 12 weeks) and measured the correlation. Over 203 trading days, the correlation between Bitcoin and M2 in levels came out around 0.78–0.77 depending on whether you look backward or forward a strong positive link.
Bitcoin versus DXY came in around 0.58, meaning BTC tends to move opposite the dollar. M2 and DXY were also strongly inverse at about 0.71.
So influencers aren’t making it up the high-level relationships are real. But here’s the catch: they describe the bigger picture trend, not the noisy day to day tape.
When you switch from levels to returns (actual changes over time) and run lag tests, the story gets more complex: