Based on current macro regime conditions and bitcoin's historical behaviour in similar regimes, the model projects $98,978 by 2026-12-31 ( +27.3% from $77,744 today). The 68% confidence range is $65,055 to $132,900; the wider 95% range is $32,489 to $165,466. Methodology below the headline.
Bitcoin Forecast 2026
Quantitative analysis from 4,262 observations of Bitcoin history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +55.2% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 366 | -27.70% | 35.02% | -0.79 | 49.0% | -27.68% |
| 3Y | 1,096 | 42.02% | 38.89% | 1.08 | 50.3% | 186.27% |
| 5Y | 1,827 | 12.40% | 45.68% | 0.27 | 49.6% | 79.40% |
| 10Y | 3,653 | 67.07% | 55.91% | 1.20 | 52.4% | 16832.42% |
| All | 4,262 | 55.18% | 55.46% | 0.99 | 52.4% | 16731.90% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Forward Returns by Macro Regime[04]
How Bitcoin has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Low (<15) | 1,087 | 8.89% | 30.72% | 122.14% | 55.19% | 79.8% |
| Normal (15-25) | 1,477 | 3.64% | 12.75% | 44.46% | 26.69% | 68.3% |
| Elevated (25-40) | 357 | 5.21% | 24.56% | 115.86% | 53.15% | 75.7% |
| Extreme (>40) | 40 | 21.32% | 42.97% | 185.16% | 187.40% | 100.0% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 544 | 4.46% | 16.63% | 60.55% | 49.80% | 99.3% |
| Flat (0-100bps) | 1,627 | 6.42% | 23.30% | 71.26% | 24.47% | 65.6% |
| Steep (>100bps) | 745 | 6.28% | 20.54% | 131.79% | 49.63% | 71.9% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 962 | 0.49% | 0.11% | 0.41% | 8.03% | 53.4% |
| Normal (350-500bps) | 1,431 | 9.82% | 34.29% | 110.66% | 55.53% | 79.5% |
| Stressed (>500bps) | 577 | 8.05% | 28.79% | 151.77% | 97.99% | 98.4% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 173 | 10.02% | 37.16% | 29.08% | 16.33% | 68.1% |
| Neutral (middle) | 559 | 5.04% | 21.04% | 0.43% | -33.92% | 31.8% |
| Strong (top tercile) | 2,169 | 5.96% | 20.34% | 106.89% | 54.34% | 83.0% |
Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.
Lead-Lag Relationships[05]
For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads Bitcoin; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| VIX | Volatility leader | 0d | -0.178 | -0.178 | coincident |
| Initial Jobless Claims | Labor leader | -9d | -0.156 | -0.006 | lags target by 9d |
| NFCI | Financial conditions | -8d | -0.140 | 0.015 | weak |
| HY OAS Spread | Credit risk leader | 0d | -0.116 | -0.116 | weak |
| Copper | Global growth proxy | 0d | 0.091 | 0.091 | weak |
| Trade-Weighted Dollar | FX driver | 0d | -0.088 | -0.088 | weak |
| Baa-10Y Spread | Credit risk (slow) | -1d | -0.065 | -0.035 | weak |
| 10Y Treasury Yield | Discount-rate driver | -11d | 0.049 | 0.007 | weak |
| 10Y-2Y Yield Spread | Recession leader | -32d | -0.045 | 0.005 | weak |
| U-Mich Consumer Sentiment | Survey leader | 0d | 0.000 | 0.000 | weak |
Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.
Historical Analogs[06]
Periods where Bitcoin sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.
| DATE | VALUE | +30D | +90D | +1Y |
|---|---|---|---|---|
| Sep 16, 2024 | 58192.5078 | 16.20% | 79.51% | 88.07% |
| Feb 8, 2024 | 45288.6500 | 50.84% | 35.11% | 48.87% |
| Nov 10, 2023 | 37301.6300 | 17.39% | 21.41% | 78.71% |
| Jul 14, 2023 | 30334.0684 | -3.40% | -11.79% | 110.25% |
| Apr 15, 2023 | 30318.4961 | -10.31% | 0.05% | 44.14% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Dec 7, 201725.25%
- Jul 20, 201723.94%
- Dec 6, 201719.93%
- Feb 8, 202118.75%
- Mar 19, 202018.19%
- Mar 12, 2020-37.17%
- Jan 14, 2015-21.14%
- Sep 14, 2017-18.74%
- Aug 18, 2015-18.18%
- Jan 16, 2018-16.85%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | -0.02% | 52.2% | 372 |
| February | 0.36% | 51.6% | 339 |
| March | 0.06% | 53.2% | 372 |
| April | 0.32% | 55.0% | 360 |
| May | 0.22% | 54.0% | 359 |
| June | 0.07% | 54.2% | 330 |
| July | 0.32% | 51.3% | 341 |
| August | -0.02% | 46.6% | 341 |
| September | -0.07% | 48.4% | 343 |
| October | 0.49% | 55.9% | 372 |
| November | 0.20% | 52.5% | 360 |
| December | 0.23% | 53.2% | 372 |
N = 4,262 OBS · GENERATED 2026-05-18 03:30Z
Forecast Approach
scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.
Current Regime Outlook
THESIS HEALTH: INTACT. BTC at $79,351 (essentially unchanged from prior $79,373.6, -0.03%, STABLE). Range-bound behavior ($73K-$88K) has held. CHANGE: NEUTRAL/LOW → BEARISH/LOW. Trigger: HOT CPI print (pending event, score 7, MAJOR_SIGNAL) is a confirmed risk-off catalyst that the prior thesis identified as the key unwind trigger. The playbook explicitly states 'crypto sells on risk-off' for HOT_CPI events. KEY DATA: (1) CFTC BTC net spec at 1,441 (100th pctile, STABLE) — maximum crowding, no marginal buyer. This is the dominant bearish signal. (2) Net liquidity -$114bn 1M (CONTRACTING, STABLE direction) — mechanical headwind for risk assets. (3) Hot CPI confirmed 24h ago — risk-off catalyst is now active, not hypothetical. COUNTER-THESIS: BTC has shown resilience to macro headwinds in prior cycles; institutional adoption (ETF flows) may provide a structural bid that overwhelms spec positioning. DeFi TVL at $95.4bn (stable) suggests on-chain activity is not collapsing. The geopolitical de-escalation (Trump-Xi) is risk-on and could support BTC. PAYOFF ASYMMETRY: If right (unwind to $68-72K): -14% from current. If wrong (squeeze to $88-95K): +12-20%. R/R: 1.2:1 in favor of downside, but not compelling enough for high conviction. The squeeze risk from geopolitical de-escalation tempers conviction. INVALIDATION: BTC above $88,000 for 2 consecutive daily closes with CFTC net spec declining below 85th pctile (crowding unwinding into strength). BTC below $68,000 for 2 consecutive closes (unwind confirmed, would upgrade to BEARISH/MODERATE).
Key Drivers & Risks
- •Liquidity conditions
- •Regulatory developments
- •Adoption trends
- •Halving cycles
- •Risk appetite
Historical Volatility
Very high: 50-80% annual swings common
Scenarios That Affect This Forecast
How BTC Forecasts Have Held Up Historically
Bitcoin forecasts have wildly variable accuracy because BTC has gone through multiple regime changes since 2017. The 2017 retail bull (peak $19,500), 2021 institutional bull (peak $69,000), 2022 collapse (low $15,500), 2024 ETF launch surge (to $100,000+), and 2025-2026 continued institutional adoption have each represented regime changes that point forecasts couldn't anticipate.
Regime-conditional models on BTC achieve only 55-60% directional accuracy because the asset has fewer than 15 years of price history and only 2-3 full liquidity cycles. The model has limited bootstrap distribution to work from.
Regime Sensitivity for BTC
BTC's regime sensitivity has shifted with each cycle. From 2017-2020 BTC traded as a high-beta speculative asset with little correlation to traditional macro. From 2020-2022 BTC correlated with QQQ at 0.7+ as institutional adoption rose. From 2024-2026 the spot ETF launches have re-anchored BTC as a quasi-institutional store of value, with correlation to gold rising and correlation to QQQ moderating.
The April 2026 setup has BTC at $90,000+ (range bound between $80,000 and $110,000) following the January 2024 spot ETF launches and the April 2024 halving. The regime conditional reads as constructive on direction (institutional adoption flow continues, ETF AUM grows) with downside risk to liquidity shocks (yen carry unwind 2024 took BTC -20% in 48 hours).
What Drives BTC Forecast Errors
Three structural issues drive BTC forecast errors. First, the supply schedule is mechanical (halvings every 4 years cut new issuance by 50%) but the demand schedule is regime-dependent. Halving-cycle returns (2012, 2016, 2020, 2024) have averaged +500-1000% over 12-18 months but the 2024-2025 cycle has produced more modest +150% gains, suggesting the halving-as-narrative is weakening as the asset matures.
Second, the spot ETF flow is the single most important demand variable but only has 28 months of history. ETF AUM growth correlates with BTC price but the causation runs both ways (price up draws inflows, inflows push price up).
Third, regulatory regime changes are binary. SEC approvals, CFTC rulings, banking-relationship changes each produce 5-15% BTC moves that no macro classifier captures.
How to Use This Forecast in Practice
For BTC, the regime conditional is one of multiple inputs and should be supplemented with the ETF-flow data, the on-chain holder behaviour (long-term holder supply, exchange balances), and the regulatory calendar.
The cleanest cross-check for BTC is its correlation with gold. When both rise together, the fiat-debasement-hedge regime is dominant. When BTC rises while gold lags, the speculative-flow regime is dominant. The 68% band on BTC should be treated as 200%+ wider than the historical bootstrap implies because of the regime-change risks.
Frequently Asked Questions
What factors could push Bitcoin higher?▾
The primary drivers that tend to lift Bitcoin depend on the current macro regime. Crypto is the highest-beta macro asset. Bitcoin correlates loosely with tech equities and inversely with real yields, while Ethereum trades more like a high-beta call on network adoption. ETF flows, stablecoin supply, and exchange balances reveal the positioning underneath the price. Convex tracks these drivers live across the Crypto category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push Bitcoin lower?▾
The same transmission channels that drive Bitcoin higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see Bitcoin heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for Bitcoin?▾
Historical ranges for Bitcoin vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the Bitcoin chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the Bitcoin forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for Bitcoin and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.