Collect YouTube video titles and compute backward honey index predictions for six assets.
npx skills add https://github.com/yundoun/junbankkullab --skill jbk-collect
Please help me install this Agent Skill. Skill: jbk-collect Source: https://github.com/yundoun/junbankkullab/tree/main/skills/jbk-collect Command: npx skills add https://github.com/yundoun/junbankkullab --skill jbk-collect
Collects and analyzes YouTube video predictions to compute the backward honey index, turning scattered video titles into actionable market sentiment metrics.
Run the collect script with a year and month to begin gathering data and computing the honey index.
High-intent search queries and answers about installing and using this skill.
You can collect YouTube video predictions and calculate the backward honey index by running a TS/Node data pipeline that gathers video titles from the 전인구경제연구소 channel and fetches historical price data to validate them.
The honey index computation supports six assets: KOSPI, S&P500, NASDAQ, Samsung Electronics, SK Hynix, and Nvidia, fetching historical price data to verify channel predictions.
Yes, you can compute the honey index for either a specific monthly period or a custom date range, generating per-period predictions and validating them against market data.
The data pipeline reads API keys from a .env.local file and stores both period-wise and overall computed honey index statistics in JSON files for API consumption.
Yes, the implementation relies on a TS/Node data pipeline for collecting YouTube titles and integrates a Python script to fetch historical market prices for prediction validation.
The backward honey index is a market sentiment metric computed by fetching historical price data to verify YouTube video predictions, turning scattered video titles into actionable performance insights.
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