The Bitcoin Retirement
Escape velocity is the point where the stack’s growth outruns your withdrawals — past it, work becomes a choice. Drag the sliders to your numbers and find where your plan crosses it.
Quick answer
How much bitcoin do you need to retire?
Retiring in 2030 on $100,000 a year in today’s dollars needs about 3.37 BTC if bitcoin stays 47% below trend, or about 1.79 BTC if it returns to trend over 3 years. Neither scenario is a forecast.
| Retire in | Stays 47% below trend Conservative | Returns to trend over 3 years Historical pattern | Falls to the floor and stays Stress test |
|---|---|---|---|
| 2030 | 3.37 BTC | 1.79 BTC | 4.27 BTC |
| 2035 | 2.05 BTC | 1.09 BTC | 2.60 BTC |
| 2040 | 1.50 BTC | 0.80 BTC | 1.90 BTC |
| 2045 | 1.26 BTC | 0.67 BTC | 1.59 BTC |
| 2050 | 1.19 BTC | 0.64 BTC | 1.51 BTC |
- What “needs” means. The smallest stack, held from the date below with nothing added or sold before you retire, whose growth overtakes the withdrawals and stays ahead of them to the end of a 30-year retirement, so that its value after inflation is rising at the end. That is escape velocity. A smaller stack may last the 30 years while shrinking, or run out sooner; the calculator below shows which.
- Scale it to your withdrawal. The figures are proportional to it: on $50,000 a year, halve them; on $150,000, multiply them by 1.5.
- Assumptions. Withdrawals are in today’s dollars and rise with inflation at 6.5% a year. Prices follow each column’s path with no crash; in the floor column bitcoin falls to 0.42× its trend over 3 years and stays there. For a timed crash, see the Retirement Stress Test.
Figures as of September 30, 2026, with bitcoin at $83,554, 0.53× its Power Law trend.
The calculator below, for your own numbers ↓ Bitcoin Escape Velocity →
Three legitimate questions, each with a defensible range.
Retirement planning was built for portfolios that compound at seven percent real per year (target rate) and draw down at four percent per year. The “four-percent rule” has held up across most thirty-year sequences in the historical record; the Trinity Study put numbers on what most people had intuited for as long as retirement has existed. Save enough for retirement, withdraw modestly, hope the markets cooperate.
Bitcoin doesn’t fit that template. Its growth profile under the Power Law has remained meaningfully above traditional-asset returns for the entire foreseeable retirement window. The gap is the whole problem (and opportunity) that this calculator looks to address.
There are three legitimate questions a person can ask of their bitcoin position when retirement enters the picture. None has a single answer; each has a defensible range.
Three questions on the same surface
How much BTC do I need? The classic framing — and the one most bitcoin retirement essays start with, but it is the wrong question, or at least incomplete; the real question is two-fold and interrelated — when can I retire, and how much retirement income do I need or want to have?
The form of the answer is shaped by the same Power Law model that drives the calculator on the next tab — how many bitcoin would fund a $100K-per-year retirement at different target years. The visualization is useful for orienting yourself to the magnitudes involved. It is not, in practice, the question most people face. Most people arriving here either already have a bitcoin position, or are in a position to sell some existing assets to acquire one; their question is what that position supports, not how to reach a target count.
When can I retire? The question for someone with a target lifestyle in mind. The answer involves a tradeoff of variables that include: withdrawal rate, a path for bitcoin’s price, and an expectation about how many years retirement needs to last. For users still accumulating, the answer doubles as a finish line — how long would I need to keep working and contributing before this stack supports the lifestyle I want? For users with a position already roughly fixed, the answer is a projection: under these assumptions, this is the year the math works out.
What income can I retire on? For some people, the answer here may be the least income that will allow them to survive comfortably, and thereby they may prioritize an earlier retirement vs. other people who may be looking for not just a survival-income, but a richer more affluent lifestyle, in which case they may be willing to continue to work longer (or just wait longer, in the case of a static bitcoin stack) to avail of the higher retirement income.
The calculator on the next tab does not ask you to pick which question you are solving. The two interactive sliders for Annual withdrawal and Retirement year are both fully draggable; drag whichever one matches the question you’re asking, and the rest of the readout updates to stay consistent. The exploration is the answer. You can play with these tradeoffs alongside one another.
Three strategies, different shapes of risk
There are three frameworks for converting a bitcoin stack into retirement income. They are different shapes of risk, not different reward levels.
Sell as needed is foundational — sell some BTC each year to fund living expenses, the way a traditional retiree sells stocks or bonds. No need to assume any counterparty risk, no leverage, no liquidation event risk, no clever timing of trades required. This is the framework the calculator on the next tab treats as primary, because it is the framework every retiree can use regardless of account structure or sophistication; it is the most conservative approach, and retirement planning definitely benefits from such sober conservatism.
Borrow against your stack is supplemental. A user holding bitcoin in self-custody can take collateralized loans against their bitcoin stack rather than selling part of their bitcoin stack — deferring the tax event and deferring the eventual bitcoin sale (even theoretically indefinitely) as bitcoin continues to increase in fiat-denominated price/exchange-rate over time. The mechanics are real but carry a distinct risk shape: interest rate compounding, liquidation thresholds keyed to the loan-to-value ratio, eventual repayment of principal from somewhere. The framework is sufficiently complex that it deserves its own canvas, so we gave it one. Also worth pointing out — this is not our base case or recommended approach; if anything we cover it because this idea and the related tools are becoming more popular, and warrant a more thorough understanding of not just the benefits but the risks.
Disciplined rebalancing is supplemental in a different way, and builds upon the insights explored in the Power Law analysis. A user with bitcoin held in a retirement account — where buys and sells don’t generate tax events — can adopt channel-bounded triggers for partial sells and rebuys: sell part of the stack when price runs well above trend, buy back at trend, repeat as cycles produce the windows. Bounded rules, observable conditions, no speculation about where price is going. The framework deserves its own canvas too. Again, not an approach that we recommend per-se, but one that has interesting implications and is arguably a framework that is far from any usual ‘trading’ recommendation, which we certainly would not recommend and is not in the scope of what we explore.
We do not recommend among the three. Each fits different situations and different risk tolerances. The calculator on the next tab makes the foundational version legible; links at the bottom of that tab point to the supplemental pages where the others live. Strategy plurality is the editorial stance.
What this calculator produces
What follows are legible scenarios to explore, not plans or forecasts. The numbers are projections under assumptions you control — bitcoin’s price path, inflation, withdrawal rate, time horizon — and projections are not predictions. When the readout says your stack reaches escape velocity, it means the math closes under the scenario you selected; it does not mean bitcoin will continue to grow at the rate the model implies, and it does not mean any particular year will resemble the model’s projection.
The math below is legible. What you do with it is yours.
Did your stack outgrow your spending? Green means it grew that year; red means it shrank. Same yearly numbers as the audit view. Growth % is the year-over-year change in portfolio value under your current assumptions (price basis, dollar basis, and withdrawal basis) — driven by the Power Law growth of your stack minus that year’s withdrawal, not a fixed bitcoin-price CAGR.
| Year | Portfolio value | Change | Growth % | Growing vs. spending |
|---|
Reproduce any row: Starting BTC − BTC sold + any DCA added = BTC left; price × BTC left = stack value; withdrawal ÷ price = BTC sold. The withdrawal grows with inflation each year. All dollar columns — BTC price, stack value, withdrawal — follow the nominal/real toggle, so the identities above hold in either mode. Same projection that draws the chart. Pre-retirement DCA is approximated once per year at that year’s trend price, so accumulation rows may not reconcile to the exact month.
| Year | Phase | BTC price | Starting BTC | Stack value | Withdrawal | BTC sold | BTC left |
|---|
Two scenarios to consider
Your result depends on what bitcoin’s price does against its Power Law trend. Neither scenario is a forecast.
How long returns to trend have taken →
Showing
Estimated: every column is a projection under the same Power Law assumptions as the readout above. Each shows the stack at retirement two ways: in today’s dollars (the only figure compared across columns, so different retirement years line up cleanly) and in that year’s own future dollars (which reconciles with the readout above but isn’t comparable between columns — a later year’s dollars are worth less). Comparisons to explore, not advice.
Figures throughout are in USD. Reading from outside the US? Read why →
Figures show in nominal (future dollars). Toggle nominal/real in the year-by-year tables above. Real dollars use the inflation rate selected here, applied across every figure on the page.
Three frameworks for one stack — different shapes of risk, not different reward levels.
A bitcoin position can be drawn down for retirement in more than one way. The choice between approaches matters — and matters more than most retirement essays acknowledge — because the strategies available here are different in kind, not just degree.
Sell as needed is the foundational approach: the same mechanic the Trinity Study describes for traditional portfolios, applied to a more volatile asset. Borrow against your stack delays the selling and substitutes leveraged risk in its place. Disciplined rebalancing, available primarily inside retirement accounts, captures volatility through bounded triggers — sell at a percentile, rebuy at the trend.
The conventional “sell as needed” approach is the foundational model we cover on this site, and the main calculator covers that approach; the other two models have additional risk dynamics, but we cover them more to be complete and comprehensive on the topics of discussion around bitcoin and retirement than to recommend them. The supplemental modifiers — borrow-against and disciplined rebalancing — each receive their own canvas in the sibling pages shipping in Phase 3.5, where the additional surfaces (liquidation, interest compounding, trigger discipline, tax-advantaged wrappering) earn the editorial space they deserve.
What follows is a brief framing of each.
Sell as needed
The mental model is the simplest one available: every year of retirement, sell enough bitcoin at that year’s modeled price to cover the annual retirement income you’ve targeted, adjusted for inflation. The stack draws down. The math closes — a starting stack, a retirement window (start year and duration), and either a target income or a withdrawal rate are all the projection requires; the other emerges from the relationship between the three.
What makes the bitcoin version distinct from the traditional retirement version is the growth profile of the asset being drawn down. The Trinity Study’s 4% rule was calibrated against a portfolio expected to deliver roughly 7% real returns; bitcoin under the Power Law currently grows at what is estimated at a much higher CAGR, declining over time but remaining meaningfully above traditional-asset returns for the entire foreseeable retirement window, on a trend basis. That gap is the whole reason this calculator exists. Defaulting the withdrawal rate to 4% and labeling anything above as “aggressive” would quietly endorse a mental model that does not apply here, given the assumptions about how bitcoin is growing subject to the Power Law.
The default rate on this calculator is 6%, sliderable from 2% to 15%. Six percent is a moderate move above the Trinity anchor — bitcoin’s growth profile permits more than the traditional rule, but we are not being reckless about it. The 15% upper bound is intentionally high — sufficient to explore aggressive scenarios, yet still within range of Power Law trend CAGR for the foreseeable retirement window.
The strategy supports two complementary lenses on the same drawdown question, and the calculator surfaces both simultaneously rather than asking you to pick one. The first is the target income framework: “I want to draw $X per year — can my stack support it, and for how long?” The second is the retirement timing framework: “When can I retire, and what income does my stack support at that point?” These are interlocking goals — pull on one and the other moves in response. Whichever question you arrived with mentally is the one you will naturally read first.
A few features of the model are worth naming explicitly.
We do not try to model sequence-of-returns risk in any rigorous Monte-Carlo sense. We instead show the floor, trend, and upper Power Law bands on the projection chart and let you inspect what each implies for your scenario. This states the model’s limits.
We do not bake taxes into the projection. The v1 model is pretax throughout, and for the foundational sell-as-needed approach, the structural arithmetic of stack value, withdrawal pressure, and real-terms sustainability runs the same regardless of account type. Tax treatment becomes computationally distinct in the supplemental frameworks; sales inside a Traditional IRA or 401(k) avoid the per-sell taxable event a regular account incurs, which materially changes how rebalancing math behaves. That distinction earns its surface on the disciplined-rebalancing canvas, where it belongs. The illustrative line on the withdrawal slider’s tooltip — “a 20% effective tax would reduce real take-home to roughly 80%” — exists to acknowledge the magnitude of the consideration without inviting the false precision a tax-rate slider would produce.
What sell-as-needed requires is structurally minimal: a stack, a target, the willingness to sell. It is the approach that asks the least of the user’s time, infrastructure, and conviction.
Borrow against your stack
Borrowing against bitcoin uses your stack as collateral for a loan, the proceeds of which fund retirement income. The bitcoin itself is not sold; the appeal is that the asset continues to compound under the Power Law while the loan provides liquid spending power.
Borrowing delays selling bitcoin; it does not replace it. The loan principal eventually has to be repaid but the intention or expectation is that bitcoin value will increase at a higher pace (on average, over a long enough time horizon) than the interest-rate obligation of the fiat loan. The strategy is structurally a tactical modifier on sell-as-needed, not a peer alternative. Where sell-as-needed asks “how much do I need to sell?”, borrow-against asks “can I push the selling far enough into the future that the stack outpaces the cumulative cost of the borrowing?”
The cognitive load is meaningfully heavier. Loan-to-value ratios, liquidation prices, interest-rate compounding, and the percentage of your stack you choose to borrow against are four conceptual surfaces beyond what the foundational calculator demands. The cultural load is heavier too. The “never sell” mythology runs deep in bitcoin culture, and the recent failures of overleveraged borrowing platforms remain fresh in the public memory.
The dedicated sibling page handles this strategy with the editorial care it warrants — including a slider that lets you see what 0% borrowing looks like as the genuinely conservative baseline, and not as a recommendation to do anything else.
Disciplined rebalancing
Disciplined rebalancing is primarily a potential strategy for users with bitcoin held in retirement accounts, where the tax friction that makes most other rebalancing approaches impractical does not apply. The mechanic is bounded by the Power Law channels: when bitcoin’s price runs to a high multiple of the trend, sell a defined fraction of the stack; when it returns to or below the trend, rebuy. The discipline is in the triggers — observable, structurally constrained, and not a function of the user’s intuition about market timing. Again, there is no recommendation of this strategy, but more an exploration, at least for intellectually stimulating entertainment.
Three things distinguish this from the strategic-selling approach earlier drafts of this design considered and dropped. First, the IRA wrapper neutralizes the tax friction that otherwise consumes most of the strategy’s appeal — every sale outside a retirement account is a taxable event, and frequent rebalancing outside an IRA hands meaningful capital to the state with each round trip. Second, the rebuy discipline is not optional; selling at the high without rebuying at the trend is just selling, and what makes the strategy structurally interesting is the round trip of the re-buy. Third, the triggers are observable — the Power Law floor, trend, and upper bands are publicly computable and not subject to the user’s discretion at the moment of action. This whole exercise is not some typical ‘swing trading’ strategy, but a more constrained and bounded exercise, leveraging the unique power-law dynamics observable with bitcoin.
The strategy is not for everyone. It requires bitcoin held inside a retirement account, a tolerance for active rebalancing, and at least soft conviction in the Power Law as a guiding model — which is why the dedicated sibling page carries its own framing essay rather than being folded into this one.
A closing note on selection
The site does not recommend one strategy over another. The foundational approach — sell as needed — is the default on this page because it requires the least specialized infrastructure, asks the fewest assumptions of the user and most importantly matches the spirit of the most typical conventional traditional retirement strategies. We don’t endorse any of these strategies, but lay out the tools for evaluation; these are for entertainment only.
Three strategies. Same stack. Same target lifestyle. The differences in projected income reflect different shapes of risk — not different reward levels.
The calculator can surface those potential tradeoffs. It cannot make them for you.
How the math works — and what it cannot tell you.
This tab is the source. Every projection on the calculator tab is computed from the parameters and equations below. Nothing is hidden; no magic constants. Where the model has limits — and it has several — they are named explicitly.
The price model
Bitcoin price projections use the Power Law trend, with constants matching Porkopolis Economics’ published coefficients:
The floor and upper bands are multiplicative envelopes around trend:
The floor is the line price has held through the modern record: since 2011 its deepest dip went 5.1% below it, in 2015, and price was back above within weeks; its R² against actual lows exceeds 0.99. The upper band, 3× trend, is not a cap: past cycle peaks went through it, the early ones far through it (14× trend in 2011, 12× in 2013), so it is best read as a level spikes reach, not a sustained one. For the deeper treatment of why bitcoin follows this model, see Bitcoin and the Power Law.
Bitcoin’s price: two scenarios and a stress test
Every path starts at today’s price, which is a multiple m₀ of the trend (the chart’s caption gives today’s), and is a multiple of the trend each year after:
If bitcoin stays below trend assumes no recovery: bitcoin grows at the trend’s own rate. If bitcoin returns to trend over 3 years closes the gap in a straight line, then follows the trend; 3 years is longer than any stretch on either side of trend in the record. Neither is a forecast. The calculator starts on the lower of the two for today’s price, so below trend nothing depends on a recovery, and above trend nothing depends on a premium lasting. The floor stress test falls to 0.42× trend over the same 3 years and stays there for the whole plan.
Changed October 11, 2026: until then the calculator opened on “reverts to trend”, which valued the stack at the trend price from today, about double the market price on the day of the change, and a sitewide growth-model setting could swap that path for the floor. On the return path, a plan with no monthly buying that retires three or more years out gets exactly the verdict it got before, because its price is back on trend by then; monthly buying in the first three years now happens below trend, which buys more bitcoin. The default verdict is now the stays path’s, which is harsher below trend.
The stack projection
Two phases: pre-retirement accumulation and post-retirement drawdown.
Accumulation. For each year between today and retirement, the dollar-cost-averaging contribution buys bitcoin at that year’s modeled price on the path showing:
Drawdown. For each retirement year, sell enough bitcoin at that year’s modeled price to cover the annual withdrawal, adjusted for inflation:
When the user is dragging the withdrawal slider, the implied withdrawal rate at retirement (withdrawal ÷ stack value at retirement) is computed and surfaced as a derived readout beneath the slider. Users who prefer to think in percentage-rate terms can read the implied rate live and nudge the withdrawal until that readout lands on their target. Showing the rate as derived (rather than as a second slider coupled to the withdrawal) makes the dependency between the two visible — they were never independent inputs, even when both looked draggable.
Sustainability and escape velocity
The Sustainability readout reports, for each of the two scenarios, how long the stack lasts and its value at retirement. The spectrum bar places the plan in one of three states, decided by where the stack’s real value is heading at the end of the horizon; within a state, the marker’s position comes from the real-terms multiplier — the stack’s purchasing power at the end of retirement divided by its purchasing power at retirement:
The thresholds:
| State | What the projection shows |
|---|---|
| Depleting | The stack runs out inside the horizon |
| Shrinking | The stack outlasts the horizon, but its real value is still falling at the end — growth has stopped covering the withdrawal |
| Escape velocity | The stack’s real value is rising through the end of the horizon — growth covers the withdrawal |
The state comes from the trajectory, not the multiplier: a plan can finish above its value at retirement and still be shrinking, if it grew for two decades and turned down before the end. The same three states, computed by the same function, appear on Bitcoin Escape Velocity and Compare Retirement Plans, so a plan reads the same on every page of the family.
Escape velocity means the math closes for an indefinite horizon under the model. It does not mean bitcoin will continue to grow at the rate the model implies, and it does not guarantee any particular year will resemble the projection.
Inflation and real terms
The withdrawal you set is in today’s dollars: the projection inflation-adjusts it so that your lifestyle stays constant in purchasing power across retirement. The figures show in future (nominal) dollars by default, or today’s dollars with the toggle in the year-by-year tables. The inflation rate is selectable from the baseline assumptions:
| Preset | Rate | Source |
|---|---|---|
| CPI Official | 3.5% | Bureau of Labor Statistics, long-term average |
| M2 Growth (true inflation) | 6.5% | Federal Reserve M2 expansion, long-term |
| Shadow Stats | 8.0% | ShadowStats.com alternative measure |
| Custom | user-set | any rate the user chooses |
Traditional 60/40 benchmark
The blue-gray comparison line on the projection chart represents a Traditional 60/40 portfolio with the same starting capital (today’s stack value at the live BTC price). It applies the same DCA contributions and inflation-adjusted withdrawals as the bitcoin scenario. This makes it a fair direct comparator: same money, same goal, different asset.
Its growth rate comes from the benchmark choice in the baseline assumptions: 3%, 5% or 7% a year above CPI inflation. Those are real returns measured against CPI, so the line converts them to nominal growth at CPI (3.5%) using the Fisher equation: 5% real becomes about 8.7% a year, and 7% real about 10.7%, close to the S&P 500’s long-run nominal return of about 10%. The inflation setting doesn’t change this rate. It still sets how fast the withdrawals grow and what the Real view deflates by, for this line and the bitcoin lines alike.
Correction, October 11, 2026: until this date the line converted the benchmark at the inflation setting instead of CPI. At the default, M2 growth (6.5%), that grew the 5% benchmark at about 11.8% a year and the 7% benchmark at about 14%, well above what those portfolios have returned over the long run. The corrected line is lower, which makes the comparison look better for bitcoin; it is a fix to the arithmetic, not a change of assumption.
Tax handling
The v1 model is pretax throughout. Every dollar shown — on the slider, in the readout, on the chart — is gross of taxes.
For sell-as-needed, the pretax figure needs no adjustment: the structural math is account-type-agnostic, since each withdrawal is treated identically by the model regardless of what kind of account holds the bitcoin. Tax-distinct mechanics surface on the supplemental frameworks — notably disciplined rebalancing inside a tax-advantaged account, where internal sells avoid tax events and the rebalancing math materially diverges. The illustrative line in the withdrawal slider tooltip — “a 20% effective tax would reduce real take-home to roughly 80%” — exists to acknowledge the magnitude without inviting the false precision a tax-rate slider would produce.
This is a deliberate choice. Effective tax rates depend on holding period, basis, federal and state brackets, NIIT eligibility, and Social Security crossover effects. A single “effective tax rate” slider would let users dial in whatever felt comfortable while feeling more precise — which is worse than not modeling tax at all. The 4% rule and the Trinity Study work in pretax dollars by convention; this calculator follows the same convention.
What the model does not do
The limits:
- No sequence-of-returns risk (Monte Carlo). The floor, trend, and upper bands are shown together so users can read what each scenario implies. A stochastic simulation would produce a confidence-interval shape the model cannot truthfully claim.
- No state capital gains. Federal long-term capital gains framing is the reference; users in higher-tax states will see steeper effective drag than the unmentioned default suggests.
- No holding-period transitions. Average-cost basis is assumed; long-term capital gains rates apply uniformly to all sales.
- No leverage. Borrow-against modeling lives on its own sibling page.
- No rebalancing. Disciplined rebalancing modeling lives on its own sibling page.
- No multi-stack split. Users with bitcoin in different account types (regular plus IRA) can run the calculator twice with different inputs; v1 does not blend them.
Sources
- Power Law coefficients: Porkopolis Economics — The Chart
- Genesis Block: 3 January 2009 (block 0, “Chancellor on brink of second bailout for banks”)
- Live BTC price: the Coinbase public spot price, or Kraken, mempool.space or CoinGecko if Coinbase does not answer; if none does, the most recent price in the site’s data, labelled with its date
- Trinity Study: Cooley, Hubbard, & Walz (1998); William Bengen’s 4% rule (1994)
- Inflation presets: BLS CPI, Federal Reserve M2, ShadowStats