KLAC Stock Forecast History & Past Predictions

How to Interpret the Forecast History Table

This page evaluates the historical behavior of a multi-factor forecasting system designed to estimate next-day directional bias.

For each prediction, the model compares the closing price on the prediction date with the closing price on the following trading day to determine whether the predicted direction aligned with the realized price movement.

During the early evaluation stage, all model outputs are recorded and reviewed, including low-confidence signals. Accuracy is analyzed by confidence level to understand how predictive reliability changes as conviction increases.

Predictions with higher confidence levels generally represent stronger directional bias, while lower-confidence predictions indicate weaker or uncertain conditions. Low-confidence signals are primarily used for research and calibration and are not intended to imply actionable trading decisions.

As the system matures, accuracy evaluation may focus on higher-confidence signals that better reflect actionable market conditions.

This forecasting system is experimental and provided for research and analytical purposes only. It should not be interpreted as investment advice or used as a standalone trading signal.

Historical Prediction Accuracy Summary

Accuracy is calculated only on non-neutral forecasts. Neutral signals are excluded due to elevated factor noise and lack of directional intent.

Historical Next-Day Forecast Performance

Below are the historical forecasts generated by the WhaleQuant Multi-Factor AI Prediction Model.