Agent skill · data analytics · rkiding
alphaear-predictor
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
Why this skill is useful
Provides specific commands and workflows for time-series forecasting and news sentiment adjustments that the AI wouldn't reliably generate on its own.
What it needs
Requires numpy, pandas, scikit-learn, sentence-transformers, torch, transformers installed locally. About 1k tokens when loaded. Last updated 2026-03-29. 2,757 stars on the source repository.
What this skill does
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/kronospredictor.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.getbaseforecast(df, lookback, predlen, newstext): Returns List[KLinePoint]. Example Usage (Python): 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., kronosnewsv1.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 weightsonly=True and only scan for the kronosnews.pt pattern. Ensure you only place trusted checkpoints in this directory. 2. Environment Variables: EMBEDDINGMODEL: Path or name of the embedding model (default: sentence-transformers/all-MiniLM-L6-v2). KRONOSMODELPATH: Optional path to override model loading. Dependencies torch transformers sentence-transformers pandas numpy scikit-learn
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills rkiding/alphaear-predictor