What problem does it solve?
Manually collecting and comparing sell-side research reports across multiple brokerages is slow and error-prone. This Skill automates the full pipeline of fetching broker research reports, extracting ratings and earnings forecasts, comparing institutional views, and flagging sell-side bias and stale reports.
Core Features & Use Cases
- Research Report Aggregation: Fetches stock, industry, strategy, and macro research reports from the Eastmoney public API with no API key required, normalizing ratings, target prices, and EPS/PE forecasts.
- PDF Parsing and Chart Extraction: Downloads report PDFs and parses them through a layered chain (MarkItDown, pdfplumber, PyPDF2, optional MinerU), extracting chart images via PyMuPDF for multimodal LLM analysis.
- Quality Gate and Bias Detection: Filters reports by freshness (90 days), a 25-broker whitelist, and rating completeness, and flags sell-side conflicts of interest when buy ratings dominate.
- Multi-Agent Analysis: Coordinates six expert agents (auditor, rating extractor, fundamental extractor, risk spotter, consensus aggregator, supervisor) to produce a cited Markdown report with hallucination checks.
- Use Case: Ask for a summary of all broker opinions on Kweichow Moutai (600519) over the last 90 days and receive a report with rating distribution, EPS consensus, institutional divergence, and risk warnings.
Quick Start
Ask the assistant to summarize the last 90 days of broker research reports for stock 600519 and generate an analysis report with ratings, target prices, and risk warnings.
