alphaear-predictor
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
npx skills add RKiding/Awesome-finance-skills --skill alphaear-predictor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 technica
What does the alphaear-predictor skill do?
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
How do I install it?
Run `npx skills add RKiding/Awesome-finance-skills --skill alphaear-predictor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From RKiding/Awesome-finance-skills, a repository with 2,750 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.