Why most cycle top predictions are useless
Bitcoin cycle predictions range from embarrassing to silly. PlanB’s “worst-case $100k by end of 2021” famously missed. Various analysts’ $250k, $500k, and $1M targets for 2021 all missed. Michael Saylor’s “$6M by 2045” may eventually be right but provides zero signal for this cycle. The problem is that most predictions are single-model with no error bands — one number, no uncertainty, no decay mechanism when the model breaks. A useful cycle-top framework acknowledges three things: multiple models disagree, cycle returns compress over time, and the goal is a price range, not a point forecast.
This calculator combines two of the most-cited on-chain models: MVRV peak valuation and trajectory-based return compression. Neither is perfect. Both have failure modes. Blending them gives you a defensible range with reasons behind the math — not a tweet-sized prediction you’ll forget about the moment it’s wrong.
How the MVRV model works
MVRV stands for Market Value to Realized Value. Market Value is the spot price times circulating supply — standard market cap. Realized Value is the aggregate on-chain cost basis of all Bitcoin, calculated by taking the price at the last time each UTXO moved and summing. If MVRV is 1.0, the market is valuing Bitcoin exactly at its on-chain cost basis. If MVRV is 3.5, the market is valuing Bitcoin 3.5 times above what holders paid on average.
Every Bitcoin cycle top has coincided with MVRV between 3.0 and 5.0. The 2013 top hit ~5.0. The 2017 top hit ~4.6. The 2021 top hit ~3.7. There’s a clear pattern — each successive cycle top has produced a lower MVRV peak as the market matures and average holder cost basis rises faster than price. If you expect this compression to continue, the MVRV peak for this cycle likely lands between 2.8 and 3.5.
The math of the model is straightforward. If the current realized price is $28,000 and you expect a peak MVRV of 3.5, the implied price top is $98,000. If peak MVRV is 3.0, the top is $84,000. If you believe realized price will rise to $35,000 by the time the cycle peaks, the top projection rises to $122,500 (at 3.5x) or $105,000 (at 3.0x). The model is cleanly sensitive to two inputs — both measurable, both updatable.
How the trajectory model works
The second model assumes that each cycle’s drawdown-adjusted return is a compressed version of the previous cycle’s. The 2013 cycle delivered roughly 100x from the 2011 low. The 2017 cycle delivered roughly 20x from the 2015 low. The 2021 cycle delivered roughly 8x from the 2018 low. Each cycle’s return was approximately 40-50% less than the prior cycle’s, a pattern consistent with an asset maturing into a much larger market cap where percentage returns naturally compress.
If you extrapolate the compression, the 2025-2026 cycle should deliver a return somewhere around 4-5x from the 2022 low of ~$15,500. That targets a cycle top in the $65,000-$85,000 range — surprisingly close to current levels, which is why many on-chain analysts argued in 2024 that this cycle may peak lower than popular consensus expected. The trajectory model is bearish relative to euphoric predictions and has been roughly correct more often than it’s been wrong.
Why blending beats picking
A single model is a hostage to its own assumptions. MVRV can fail if the composition of holders changes dramatically (ETFs, institutional cost-basis dynamics, etc.). The trajectory model can fail if this cycle is structurally different — a supercycle, a multi-year consolidation, a super-compressed mini-top followed by another leg. By blending the two, you capture the average of two independent views and reduce the variance of your estimate.
The calculator above uses a simple 50/50 average of the two model outputs. You can weight them by confidence if you want — if you find MVRV more compelling in this particular environment, bias toward it. The point isn’t to find the “right” answer. It’s to identify a defensible range you can act on.
Four scenarios and how to think about them
Scenario 1 — Bullish for the cycle: You set realized price climbing to $35k by peak, MVRV peak at 3.5, and cycle compression at 40%. Models converge near $120k. This implies we’re still meaningfully below a cycle top and accumulation/DCA is appropriate.
Scenario 2 — Base case: Realized price $30k, MVRV peak 3.2, compression 45%. Models suggest $85-95k. We’re in late-mid cycle. Risk management starts to matter.
Scenario 3 — Structurally different: You believe institutional demand from spot ETFs compresses the MVRV peak even further (to 2.5) but trajectory holds. Models diverge, average lands near $75-80k. Implies this cycle peaks soon and muted relative to historical patterns.
Scenario 4 — Supercycle: You reject trajectory compression and assume a structural rerating. MVRV peak returns to 4.0, realized price jumps to $40k by peak. Blended target above $150k. This is the “everything is different now” case — has to be argued on fundamentals (adoption, monetary policy, regulatory tailwinds), not just momentum.
How to use a cycle-top estimate in practice
Don’t sell everything at the target. Cycle tops are noisy, and exiting at a single price is as unlikely to capture the top as any buy-the-bottom strategy. Instead, use the estimate as the anchor for a laddered exit. If your blended target is $100k, begin trimming at $85k (15% below target), trim more at $100k (at target), trim aggressively at $115k (15% above target), and exit completely at $130k (30% above target, where historical overshoots have resolved). That ladder gives you exposure to additional upside while systematically de-risking into strength.
Revisit the estimate every 30 days. Realized price changes. MVRV changes. Your models need fresh inputs to stay useful. The cycle-top number from January looks different in June, and dramatically different in October — the whole point is a dynamic framework, not a static prophecy.
Related calculators
- Stock-to-flow calculator — a complementary scarcity-based valuation model.
- Halving countdown — time-based framing for cycle progression.
- Bitcoin profit calculator — model your P&L at different exit prices.
- Crypto retirement calculator — translate cycle exits into retirement runway.