Agent Skills › ninehills/skills › alphaear-predictor

alphaear-predictor

GitHub

基于Kronos模型进行金融市场时间序列预测，并结合新闻情绪调整预测结果。适用于需要金融行情预测或新闻感知的场景。

alphaear-predictor/SKILL.md ninehills/skills

Trigger Scenarios

用户需要进行金融市场趋势预测用户希望结合新闻情绪调整量化预测

Install

npx skills add ninehills/skills --skill alphaear-predictor -g -y

More Options

Non-standard path

npx skills add https://github.com/ninehills/skills/tree/main/alphaear-predictor -g -y

Use without installing

npx skills use ninehills/skills@alphaear-predictor

指定 Agent (Claude Code)

npx skills add ninehills/skills --skill alphaear-predictor -a claude-code -g -y

安装 repo 全部 skill

npx skills add ninehills/skills --all -g -y

预览 repo 内 skill

npx skills add ninehills/skills --list

SKILL.md

Frontmatter

{
    "name": "alphaear-predictor",
    "description": "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

Workflow:

Generate Base Forecast: Use scripts/kronos_predictor.py (via KronosPredictorUtility) to generate the technical/quantitative forecast.
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.

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.

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.