Tesla

Equity · Monthly series · EQ-TSLA.NASDAQ

Latest, October 2026

400 USD

+12.7% from September 2026

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735.1373.712.34November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 382 USD, with an 80% interval of 212 USD to 567 USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 2026393 USD286 USD502 USD
December 2026393 USD228 USD562 USD
January 2027393 USD193 USD587 USD
February 2027391 USD236 USD550 USD
March 2027391 USD164 USD615 USD
April 2027389 USD149 USD634 USD
May 2027387 USD74 USD708 USD
June 2027386 USD164 USD618 USD
July 2027384 USD131 USD649 USD
August 2027385 USD117 USD665 USD
September 2027383 USD58 USD735 USD
October 2027382 USD212 USD567 USD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-6%Matches the no-change baseline over 12 tests (12 tests, 4 won)
Direction
39%No clear edge over a coin flip (56 of 144 calls right in 12 tests)
Turning points
11 of 65Anticipated some turns (65 turns in 12 tests, 0 without a turn)
Error vs baseline
6% higherError ratio 1.06; 1.00 is a tie.
Tests won
4 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
81%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 92% of the 119 earlier readings since November 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
October 2026400 USD
September 2026355 USD
August 2026368 USD
July 2026311 USD
June 2026421 USD
May 2026436 USD
April 2026382 USD
March 2026372 USD
February 2026403 USD
January 2026430 USD
December 2025450 USD
November 2025430 USD
October 2025457 USD
September 2025445 USD
August 2025334 USD
July 2025308 USD
June 2025318 USD
May 2025346 USD
April 2025282 USD
March 2025259 USD
February 2025293 USD
January 2025405 USD
December 2024404 USD
November 2024345 USD

Source

Data: public market data feeds.

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