English Pilot
Self-improving AI · Finance · Automation

StockPulse AI Self-Improvement Experiment

A live experiment in which StockPulse stores a morning KOSPI forecast, evaluates it after the market close, analyzes failure patterns, and applies changes to prompts, ML parameters, and data features for the next run.

A continuous experiment: prediction → evaluation → failure analysis → applied improvement.

Current finding

The loop is operating in production: forecast, evaluate, diagnose, apply a change, and run the next forecast with the changed environment.

Prediction and evaluation

Read-time evaluation from the existing predictions table. Accuracy is not copied into translated post content.

Latest forecast

보합

2026-08-27

Latest score

Actual: Not recorded

All evaluated runs

38%

10/26 correct

Translated Lab Notes in this pilot

The pilot includes one successful and one failed run so the English page preserves both outcomes rather than showing only a polished result.

Pilot boundary

StockPulse morning and market-close Feed posts are intentionally not translated in this pilot. The Project and selected Lab Notes are translated so the experiment can compare original-value content without turning a daily Feed into a translation maintenance queue.