youtube-analyzer

Extract trading insights by running the analyzer on a YouTube URL to automatically fetch video metadata, transcripts, and optional AI-generated analysis covering market commentary, strategies, and earnings. Results are saved as Markdown reports with sections like Stock Picks, Trading Strategies, Risk Factors, and Actionable Recommendations.

Yes. The Skill extracts transcripts and metadata using yt-dlp and youtube-transcript-api without requiring AI. Optional AI analysis via OpenRouter enhances insights, but transcript and metadata extraction work independently for manual review.

Store insights in a RAG-enabled knowledge base within rag_knowledge/youtube, enabling retrieval and reuse of structured trading data. This builds a searchable archive of video-derived signals, strategies, and metadata for ongoing reference.

The analyzer is optimized for trading-focused content: market commentary, strategy videos, earnings analyses, and financial podcasts. It extracts structured insights from these domain-specific formats and timestamps key trading signals.

Yes. Install yt-dlp for video download, youtube-transcript-api for transcript extraction, and langchain for RAG storage. Optional: configure OpenRouter API credentials if you want AI-driven analysis of trading signals and risk factors.

Reports are generated as Markdown files with Video Metadata, Executive Summary, Stock Picks, Trading Strategies, Risk Factors, Actionable Recommendations, Key Timestamps, and Full Transcript sections for structured reference and integration.