alphaear-predictor Checked

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

AlphaEar Predictor Skill

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

AlphaEar Predictor Skill

Overview

This skill utilizes the Kronos model (via KronosPredictorUtility) to perform time-series forecasting and adjust predictions based on news sentiment.

Capabilities

### 1. Forecast Market Trends

### 1. Forecast Market Trends

**Workflow:**

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.

**Key Tools:**

• KronosPredictorUtility.get_base_forecast(df, lookback, pred_len, news_text): Returns List[KLinePoint].

**Example Usage (Python):**

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

This skill requires the **Kronos** model and an embedding model.

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).

> [!CAUTION]

> **Model Security**: This skill loads model weights from exports/models. We use weights_only=True and only scan for the kronos_news_*.pt pattern. Ensure you only place trusted checkpoints in this directory.

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