Based on current macro regime conditions and tesla (tsla)'s historical behaviour in similar regimes, the model projects $468 by 2026-12-31 ( +10.8% from $422 today). The 68% confidence range is $273 to $662; the wider 95% range is $86.7 to $849. Methodology below the headline.
Tesla (TSLA) Forecast 2026
Quantitative analysis from 1,298 observations of Tesla (TSLA) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +12.6% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 262 | 23.59% | 45.96% | 0.51 | 50.2% | 23.43% |
| 3Y | 763 | 33.67% | 57.55% | 0.59 | 50.7% | 138.70% |
| 5Y | 1,268 | 17.04% | 58.66% | 0.29 | 51.5% | 119.60% |
| 10Y | 1,298 | 12.58% | 58.51% | 0.21 | 51.3% | 83.30% |
| All | 1,298 | 12.58% | 58.51% | 0.21 | 51.3% | 83.30% |
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 Tesla (TSLA) 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) | 261 | -0.13% | 0.73% | 40.77% | 44.20% | 76.3% |
| Normal (15-25) | 842 | 5.21% | 15.35% | 14.09% | 12.29% | 64.1% |
| Elevated (25-40) | 176 | 1.05% | -5.23% | -6.09% | -9.35% | 39.4% |
| Extreme (>40) | 4 | n/a | n/a | n/a | n/a | n/a |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 540 | 1.84% | 8.46% | 26.06% | 18.42% | 60.7% |
| Flat (0-100bps) | 573 | 3.78% | 5.33% | 7.07% | 11.63% | 61.0% |
| Steep (>100bps) | 163 | 9.10% | 26.43% | 8.71% | 15.24% | 76.1% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 762 | 4.15% | 16.67% | 28.16% | 27.73% | 83.2% |
| Normal (350-500bps) | 469 | 3.25% | 1.21% | 6.15% | -4.83% | 41.2% |
| Stressed (>500bps) | 53 | 0.50% | -9.67% | 5.79% | 7.59% | 60.4% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 115 | 0.71% | 30.34% | 21.52% | 22.35% | 98.4% |
| Neutral (middle) | 336 | 5.07% | 8.82% | -9.18% | -8.82% | 46.0% |
| Strong (top tercile) | 818 | 3.41% | 8.32% | 22.15% | 16.31% | 64.0% |
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 Tesla (TSLA); negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| VIX | Volatility leader | 0d | -0.440 | -0.440 | coincident |
| HY OAS Spread | Credit risk leader | 0d | -0.334 | -0.334 | coincident |
| Trade-Weighted Dollar | FX driver | 0d | -0.159 | -0.159 | coincident |
| Copper | Global growth proxy | 0d | 0.156 | 0.156 | coincident |
| Baa-10Y Spread | Credit risk (slow) | 0d | -0.132 | -0.132 | weak |
| 10Y Treasury Yield | Discount-rate driver | +32d | -0.094 | 0.003 | weak |
| NFCI | Financial conditions | +4d | -0.076 | -0.064 | weak |
| 10Y-2Y Yield Spread | Recession leader | +34d | 0.076 | -0.063 | weak |
| Initial Jobless Claims | Labor leader | -10d | 0.069 | -0.021 | 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 Tesla (TSLA) 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 |
|---|---|---|---|---|
| May 16, 2025 | 349.9800 | -14.08% | 20.98% | 17.66% |
| Feb 14, 2025 | 355.8400 | -27.17% | -8.45% | 15.59% |
| Nov 15, 2024 | 320.7200 | 25.92% | -19.19% | 25.96% |
| Apr 5, 2022 | 363.7533 | -34.96% | -14.96% | -49.12% |
| Jan 5, 2022 | 362.7067 | -19.46% | -33.43% | -68.83% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Apr 9, 202522.69%
- Oct 24, 202421.92%
- Apr 29, 202415.31%
- Nov 6, 202414.75%
- Jan 3, 202213.53%
- Mar 10, 2025-15.43%
- Jun 5, 2025-14.26%
- Jul 24, 2024-12.33%
- Jan 3, 2023-12.24%
- Apr 26, 2022-12.18%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | -0.01% | 45.5% | 101 |
| February | -0.17% | 52.1% | 96 |
| March | -0.04% | 50.5% | 109 |
| April | -0.11% | 44.5% | 128 |
| May | 0.24% | 48.8% | 123 |
| June | 0.29% | 54.4% | 103 |
| July | 0.49% | 59.0% | 105 |
| August | -0.00% | 48.6% | 111 |
| September | 0.50% | 63.1% | 103 |
| October | 0.05% | 50.9% | 110 |
| November | 0.39% | 54.9% | 102 |
| December | -0.22% | 45.3% | 106 |
N = 1,298 OBS · GENERATED 2026-05-17 18:00Z
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.
Key Drivers & Risks
- •Company earnings
- •Sector dynamics
- •Macro environment
- •Valuation
Historical Volatility
High: individual stock vol exceeds index vol
How TSLA Forecasts Have Held Up Historically
Tesla forecasts have the worst track record of any mega-cap stock. The 2020-2021 run (+700% from COVID lows), the 2022 drawdown (-71% peak to trough), and the 2023-2024 oscillation between hope and skepticism on FSD/robotaxi/Optimus narratives have all produced 30%+ misses versus consensus targets.
Regime-conditional models on TSLA achieve only 50-55% directional accuracy, the lowest of any major name. TSLA's price is dominated by narrative-and-positioning factors (FSD progress, robotaxi timeline, Optimus, energy storage, Elon Musk-related news) that have no clean historical analogue.
Regime Sensitivity for TSLA
TSLA's regime sensitivity is dominated by narrative-and-rates rather than auto-cycle macro variables. Goldilocks regimes map to forward 252-day TSLA returns averaging +25% but with realized vol that often produces -20% drawdowns within an uptrend; stagflation maps to -15%; reflation near +18%; deflation near -22%.
The April 2026 setup has TSLA in a $250-$320 range with auto deliveries decelerating, FSD v13 reception mixed, robotaxi Cybercab unveiled but delayed, and Optimus production targets uncertain. The regime conditional reads as range-bound with a wider 68% band than any other major name because the narrative regime is in flux.
What Drives TSLA Forecast Errors
Three structural issues drive TSLA forecast errors. First, auto delivery growth has decelerated from the 50%+ run of 2020-2022 to single-digits in 2024-2025. The market alternately treats TSLA as an auto company (auto multiples in the 8-12x range) and a tech company (tech multiples in the 30-80x range). The regime classifier can't predict which framing wins in any quarter.
Second, FSD and robotaxi narratives are binary. Each Cybercab event, FSD v-update, and Optimus demo produces 5-15% TSLA moves that no macro model captures. The 2024 robotaxi event reaction (-9% on the day) is illustrative of how narrative misses translate to price.
Third, Elon Musk-related event risk (Twitter/X distractions, political activity, bandwidth concerns) produces 5-10% TSLA moves that the regime model treats as residual noise.
How to Use This Forecast in Practice
For TSLA, the regime conditional should be used as one of several inputs, not as the dominant signal. Auto delivery growth (the most-tracked metric), FSD subscription penetration (the most-monetized variable), and robotaxi-and-Optimus narrative milestones each deserve independent monitoring.
The cleanest cross-check for TSLA is its auto-vs-tech multiple framework. When the market assigns auto multiples (8-12x EBITDA), the stock is in the lower regime; when it assigns tech multiples (30-80x P/E on FSD/robotaxi optionality), the stock is in the upper regime. Transitions between the two are responsible for most of TSLA's realized vol. The 68% band should be treated as 200%+ wider than the historical bootstrap implies because of the narrative regime risk.
Frequently Asked Questions
What factors could push Tesla (TSLA) higher?▾
The primary drivers that tend to lift Tesla (TSLA) depend on the current macro regime. Tesla Inc., electric vehicle and energy company, high retail sentiment indicator. Convex tracks these drivers live across the Equity Stock 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 Tesla (TSLA) lower?▾
The same transmission channels that drive Tesla (TSLA) 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 Tesla (TSLA) 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 Tesla (TSLA)?▾
Historical ranges for Tesla (TSLA) 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 Tesla (TSLA) chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the Tesla (TSLA) 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 Tesla (TSLA) 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.