Bitcoin micro-transactions under 0.01 BTC hit 80% of daily volume
CryptoQuant’s Julio Moreno says Bitcoin transactions under 0.01 BTC now account for about 80% of all daily transactions, up sharply from roughly 44% in 2023. The surge is mainly driven by on-chain data protocols using OP_RETURN, including Runes, Ordinals, BRC-20 and data timestamp services. These schemes generate extremely small transfers—some reported as low as 546 satoshis (about $0.35)—pushing the share of low-value activity higher.
Moreno also notes that a broader Bitcoin network activity index has risen steadily since January and reached the highest level since late 2024. The index broke above its long-term trend in late March and stayed there even as Bitcoin’s price fell. Current activity is still about 7% below the all-time high set in September 2024, while year-to-date daily transaction count has climbed above 800,000, nearing prior bull-cycle peaks.
Neutral
This is likely neutral for price. The headline “Bitcoin transactions under 0.01 BTC” share rising to ~80% signals heavy on-chain throughput, but much of it is driven by data/annotation-style protocols (Runes, Ordinals, BRC-20, timestamp services) that create dust-sized transfers. Historically, such activity can boost metrics like transaction counts and network indices without directly translating into sustainable spot demand, so traders may see stronger “usage” prints but not a clear immediate catalyst for rallies.
In the short term, elevated transaction counts can temporarily improve sentiment and keep momentum traders watching BTC liquidity/fee-related dynamics. However, because the article emphasizes that activity growth persisted even as BTC price fell, it suggests the metric is not strictly leading price direction. Over the medium-to-long term, the index being near (but still ~7% below) the September 2024 peak implies elevated participation; traders might treat it as supportive background for liquidity rather than a definitive bullish trigger. A key risk is that continued micro-transaction inflation remains primarily “data-driven,” which can make network activity noisy and less predictive than demand-driven indicators (exchange flows, realized cap, derivatives positioning).