AlphaEar Predictor Skill

Overview

KronosPredictorUtility

Capabilities

1. Forecast Market Trends

1. Forecast Market Trends

1. Generate Base Forecast: Use

   scripts/kronos_predictor.py

   (via

   KronosPredictorUtility

   ) to generate the technical/quantitative forecast.
2. Adjust Forecast (Agentic): Use the Forecast Adjustment Prompt in

   references/PROMPTS.md

   to subjectively adjust the numbers based on latest news/logic.

• KronosPredictorUtility.get_base_forecast(df, lookback, pred_len, news_text)

  : Returns

  List[KLinePoint]

  .

from scripts.utils.kronos_predictor import KronosPredictorUtility
from scripts.utils.database_manager import DatabaseManager

db = DatabaseManager()
predictor = KronosPredictorUtility()

# Forecast
forecast = predictor.predict("600519", horizon="7d")
print(forecast)

Configuration

1. Kronos Model:
   • Ensure

     exports/models

     directory exists in the project root.
   • Place trained news projector weights (e.g.,

     kronos_news_v1.pt

     ) in

     exports/models/

     .
   • Or depend on the base model (automatically downloaded).
2. Environment Variables:

   • EMBEDDING_MODEL

     : Path or name of the embedding model (default:

     sentence-transformers/all-MiniLM-L6-v2

     ).

   • KRONOS_MODEL_PATH

     : Optional path to override model loading.

Dependencies

• torch

• transformers

• sentence-transformers

• pandas

• numpy

• scikit-learn