Awesome-finance-skills alphaear-predictor

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

install

source · Clone the upstream repo

git clone https://github.com/RKiding/Awesome-finance-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/RKiding/Awesome-finance-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/alphaear-predictor" ~/.claude/skills/rkiding-awesome-finance-skills-alphaear-predictor && rm -rf "$T"

manifest: skills/alphaear-predictor/SKILL.md

source content

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.

Dependencies

```
torch
```
```
transformers
```
```
sentence-transformers
```
```
pandas
```
```
numpy
```
```
scikit-learn
```