New Addresses
First-time Bitcoin addresses created per day. The on-boarding signal — and the only address-side gauge whose 30-day SMA has historically bottomed before each cycle’s price low.
Chart data refreshed 01 May 2026 · 20:20 UTC
Today
304,978
Normal regime
30-day average
284,760
Trend window
90-day · YoY
293,479
−6.4% YoY
Spot BTC
$78,199.03
+3.2% 24h
TL;DR
- What it is
- Daily count of addresses that appear on the Bitcoin ledger for the first time. First-touch only — an address that has ever transacted before is excluded, even if it transacts again. The signal measures the rate at which the address set itself is growing.
- Where we are
- Daily count 304,978; 30-day average 284,760; 90-day average 293,479 with year-over-year −6.4% — the Normal regime. Normal regime — the largest share of post-2018 history sits in this band.
- Why it matters
- The 30-day SMA of new addresses has bottomed before every cycle price low on the record — on average two to four months earlier. The cycle-lead table below is the cleanest cross-asset view of that pattern most competitor pages omit. On-boarding momentum reverses ahead of price; the chart records when.
- The catch
- A “new address” is not always a new participant. Wallets rotate receive addresses by default; exchanges mint a fresh deposit address per customer; inscription protocols mint one address per mint. Best read against active addresses for the recurring-use side and transactions for the throughput side.
What the chart shows
01New Addresses plots the daily count of Bitcoin addresses that appear on the ledger for the first time. The thicker white line is the 90-day simple moving average — the long-horizon trend signal that smooths through inscription waves and exchange operational rhythms. The lighter underlay is the raw daily count, useful for surfacing single-day events the SMA otherwise hides. Bitcoin’s USD price runs muted on the log left axis for cycle context.
Today’s daily count is 304,978; the 30-day average is 284,760; the 90-day average is 293,479; the year-over-year change on the 90-day SMA is −6.4%. The series carries 5,736 daily points from 17 Aug 2010 through to the most recent close on 30 Apr 2026.
How it is calculated
02For each daily close t:
NA(t) = | { addr : addr appears on chain for the first time on day t } |
sma30(t) = mean(NA(t−29) ... NA(t))
sma90(t) = mean(NA(t−89) ... NA(t))
yoy(t) = sma90(t) / sma90(t−365) − 1
First-touch means the address has never previously appeared in any confirmed transaction — either as input or output. The first daily print of an address counts toward NA on that day; every subsequent transaction contributes to active addresses but not to NA. The 90-day window is the primary trend smoother because the raw daily series has substantial weekly periodicity from exchange-side wallet rotations.
The regime bucket comes from the year-over-year change on the 90-day SMA: Accelerating above +30%, Adoption divergence below −15% while price is positive, Normal otherwise. Reconstruction details — including the receive-address-rotation caveat that affects every first-touch dashboard — live on the methodology page.
How to read it
03Three lenses, in increasing analytic value. Level reading. The 30-day average against the 200–500k range that has bracketed post-2018 prints — below 200k flags deep-bear or post-Runes settling; above 500k flags inscription-wave activity, not adoption. YoY reading. The headline regime bucket; useful as a slow momentum filter. Cycle-low lead reading. The dated table below makes the on-boarding floor reversal explicit — the signal that has historically preceded each cycle price low.
| Reading | Regime | What it has meant |
|---|---|---|
| > +30% | Accelerating | On-boarding pace is materially faster than a year ago. Has bracketed run-ups into the 2017 cycle top, the 2021 spring rally, and the 2024 post-halving early window. Often coincides with rising fees and rising transaction count. |
| −15% to +30% | Normal | The largest share of post-2018 history sits in this band. Says little on its own; combine with active addresses, fees, and price to read whether the network is in steady-state or pre-rally accumulation quiet. |
| < −15% w/ price up | Adoption divergence | On-boarding pace is well below a year ago even as price rises. A late-cycle marker — capital rotating inside the existing address set rather than coming from new participants. Has fired into the 2021 second peak and the 2024 pre-halving high. |
Historical readings
04Reading every cycle anchor against the live series surfaces the on-boarding pattern. The 2017 cycle top printed sustained daily values above 500k; the 2021 cycle topped twice with daily prints in the 350–500k band; the 2024 cycle decoupled materially from earlier patterns — the daily underlay carries the Runes-launch event spike clearly, while the 30-day SMA stayed in a narrower band. Prices are our own daily closes; counts are the daily and SMA values from the underlying series.
| Date | Event | Close (USD) | NA · 30d SMA |
|---|---|---|---|
| 2013-12-04 | 2013 cycle top | $1,121.48 | 107,421 on day · 84,551 30d SMA |
| 2015-01-14 | 2015 cycle low | $172.15 | 156,384 on day · 118,484 30d SMA |
| 2017-12-17 | 2017 cycle top | $19,423.58 | 628,305 on day · 578,947 30d SMA |
| 2018-12-15 | 2018 cycle low | $3,216.63 | 300,961 on day · 311,638 30d SMA |
| 2021-04-14 | 2021 Apr peak | $63,576.68 | 556,258 on day · 529,601 30d SMA |
| 2021-11-10 | 2021 Nov peak | $67,145.37 | 482,140 on day · 455,976 30d SMA |
| 2022-11-21 | 2022 cycle low — post-FTX | $16,304.08 | 437,584 on day · 437,125 30d SMA |
| 2023-04-23 | BRC-20 wave | $27,861.64 | 416,733 on day · 460,974 30d SMA |
| 2024-04-23 | Runes launch peak | $66,841.67 | 261,707 on day · 370,076 30d SMA |
The cycle-low lead
05The 30-day SMA of new addresses has bottomed before each Bitcoin cycle price low on the daily-close record. The lead is the page’s distinctive read — the signal that on-boarding momentum has begun to recover ahead of the underlying price. The table below walks each cycle low, finds the local minimum of the 30-day SMA in the surrounding window, and reports the lead in days.
| Cycle low | SMA bottom | SMA value | Price-low date | Lead (days) |
|---|---|---|---|---|
| 2015 low | 18 May 2014 | 79,730 | 14 Jan 2015 | +241 |
| 2018 low | 08 Apr 2018 | 255,460 | 15 Dec 2018 | +251 |
| 2020 Covid flush | 08 Sept 2019 | 356,999 | 12 Mar 2020 | +186 |
| 2022 low | 07 Aug 2022 | 381,175 | 21 Nov 2022 | +106 |
What the cycle-lead record is saying
06Three observations carry through the lead table. First, every cycle low on record was preceded by a 30-day SMA bottom in new addresses. The lead has averaged two to four months across the four cycles in the table, with no cycle where the SMA bottomed after the price. The signal is not actionable on a daily horizon — the SMA bottom date itself is only knowable retrospectively, after enough subsequent prints have confirmed the trough — but it is a reproducible regime confirmation that the on-boarding floor has been set.
Second, the magnitudes are diverging from prior cycles. The 2015 SMA bottom printed in the low six figures; the 2018 bottom in the mid six figures; the 2022 bottom near 200k; each cycle’s on-boarding floor has been higher in absolute terms but lower as a fraction of the prior cycle’s peak. The addressable-bound side of this argument is the same one driving the active-address decoupling — block weight is fixed, transaction shape is roughly fixed, address counts saturate around what each block can contain.
Third, the post-2023 environment introduces a different distortion. Inscription protocols — Casey Rodarmor’s January 2023 Ordinals genesis and the Runes launch at the April 2024 halving block — produce multi-day spikes of single-use receive addresses that inflate the daily count without representing first-time human on-boarding. The 30-day SMA absorbs most of the spike but not all of it; readings during inscription-active windows should be interpreted alongside the transaction count to separate genuine on-boarding from protocol activity.
What this means for you
07For a dollar-cost-averaging investor. A confirmed bottom in the 30-day SMA — followed by 30 to 60 days of monotone-rising prints — has historically marked the start of a multi-month cycle recovery in on-boarding. Treat the SMA-bottom signal as a tactical accumulation accelerator, not a trigger; the lead has averaged two to four months ahead of the price low, not measured in days.
For a cycle-timing trader. The adoption divergence regime — price rising while the 90-day SMA contracts year-over-year — has historically marked the late-stage of cycles. Pair with active addresses and ETF flows for the modern post-2024 institutional read; pair with transactions and fees for the inscription-activity decomposition.
For a researcher. The series carries the per-day first-touch count and the 30 / 90-day SMAs. The first-touch definition is the same one every major on-chain dashboard publishes; the receive-address-rotation over-counting bias is structural, not stochastic, and grows with the share of activity routed through HD-wallet defaults. The methodology page documents the assumption explicitly.
When it fails
08A new address is not always a new user. HD-wallet software rotates a fresh receive address per incoming transaction by default; an exchange mints a fresh deposit address per customer; a custodian rotates addresses for operational hygiene. Each pattern inflates the count without adding a participant. The inflation is structural and persistent; cross-cycle comparisons lean on the SMA direction, not the absolute level.
Inscription protocols spike the count. Ordinals inscription activity (early 2023 onward) and the Runes launch (April 2024) generate single-use receive addresses for each mint. The 90-day SMA absorbs most of the spike but not all of it; the signal during inscription-active windows over-states first-time human on-boarding by a meaningful margin. Read against transaction count and fee revenue to separate the components.
Layer-2 first-touch is invisible. Lightning Network channel opens are base-layer transactions and do print as new addresses; subsequent Lightning routing inside a channel does not. Sidechain (Liquid, Rootstock) activity does not appear here at all. As Layer-2 share grows, base-layer first-touch under-represents true network on-boarding by a widening gap.
The pre-2014 history is sparse. Daily first-touch counts in the 2010–2013 era reflect a much smaller absolute base; cross-era comparisons should weight the structural growth-rate side, not just the headline-number ratio. The cycle-lead table starts in 2014 for that reason.
Frequently asked
09Canonical questions from Google’s “People also ask” block for bitcoin new addresses, answered against the data on this page.
- What is a new Bitcoin address?
- A new address is one that appears on the Bitcoin ledger for the first time on a given day — first-touch, not any-touch. An address that has ever previously sent or received a coin is excluded from the count, even if it transacts again. The signal measures on-boarding (or address creation) rather than circulation.
- How does this differ from active addresses?
- Active Addresses counts every address that transacted on the day — first-touch and recurring use both qualify. New Addresses counts only first-touch. The two diverge most cleanly during inscription waves (active rises while new flattens, because marketplace addresses re-use heavily) and during deep bears (both fall, but new tends to bottom slightly earlier).
- Do new addresses lead Bitcoin price bottoms?
- Historically yes, on the cycle scale. The 30-day SMA of new addresses has bottomed before each cycle’s price low on the daily-close record — the lead has averaged roughly two to four months. The cycle-lead table below makes this explicit. The signal is not actionable on a daily horizon; it’s a regime confirmation that the on-boarding floor has been set.
- Why do new addresses spike during ordinals or Runes activity?
- Inscription protocols generate single-use receive addresses for many mints. Casey Rodarmor’s Ordinals genesis in January 2023 produced the first wave; the Runes launch at the April 2024 halving block produced the largest single-day spike on record. Those spikes are real protocol activity, but they over-count first-time-user on-boarding by an order of magnitude during the spike itself.
- Is the new-address count a reliable adoption metric?
- Imperfectly. A wallet generating a fresh receive address per incoming transaction (the default for most modern wallets) inflates the count without representing a new participant. An exchange minting a fresh deposit address for an existing customer also inflates. Treat the 30-day SMA and the year-over-year direction as signal; treat single-day spikes as protocol or operational events until cross-checked.