AgenticInvestor

Shanghai Composite

Equity index · Monthly series · IX-SHCOMP

Latest, October 2026

3,599.0 pts

-6.3% from September 2026

Open interactive chartShanghai Composite in the app

434534192494November 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 3,613.7 pts, with an 80% interval of 2,943.4 pts to 4,344.9 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 20263,598.9 pts3,438.6 pts3,769.9 pts
December 20263,599.8 pts3,394.1 pts3,826.5 pts
January 20273,601.0 pts3,201.8 pts4,020.0 pts
February 20273,604.8 pts3,242.2 pts3,992.5 pts
March 20273,606.0 pts3,162.8 pts4,070.4 pts
April 20273,608.2 pts3,199.2 pts4,049.2 pts
May 20273,607.2 pts3,112.6 pts4,143.1 pts
June 20273,609.0 pts3,227.3 pts4,021.3 pts
July 20273,608.0 pts2,995.9 pts4,270.0 pts
August 20273,609.9 pts2,957.5 pts4,318.1 pts
September 20273,611.4 pts2,966.6 pts4,308.6 pts
October 20273,613.7 pts2,943.4 pts4,344.9 pts

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
0%Matches the no-change baseline over 12 tests (12 tests, 5 won)
Direction
44%No clear edge over a coin flip (64 of 144 calls right in 12 tests)
Turning points
19 of 70Anticipated some turns (70 turns in 12 tests, 0 without a turn)
Error vs baseline
About the sameError ratio 1.00; 1.00 is a tie.
Tests won
5 / 12Complete rolling backtests; ties count as no win.
Test period
2014-11-01 to 2026-10-0112 observations ahead per test.
80% band coverage
84%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 four classes, subject to call budgets and retry limits.

Reading

It is above 87% 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 20263,599.0 pts
September 20263,842.2 pts
August 20263,986.3 pts
July 20263,832.3 pts
June 20264,094.4 pts
May 20264,068.6 pts
April 20264,112.2 pts
March 20263,891.9 pts
February 20264,162.9 pts
January 20264,117.9 pts
December 20253,968.8 pts
November 20253,888.6 pts
October 20253,954.8 pts
September 20253,882.8 pts
August 20253,857.9 pts
July 20253,573.2 pts
June 20253,444.4 pts
May 20253,347.5 pts
April 20253,279.0 pts
March 20253,335.7 pts
February 20253,320.9 pts
January 20253,250.6 pts
December 20243,351.8 pts
November 20243,326.5 pts

Source

Data: public market data feeds.

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