In-depth research and analysis of value investing

Enter a company name or stock, and the system will automatically connect to an exchange, perform a mandatory search before judgment, cross-reference data from two sources, and label the criteria and sources. It will conduct an in-depth analysis based on the seven-dimensional framework of value investing, provide three-scenario valuation and 2×2 quality/price decision-making, and generate an actionable "In-Depth Analysis of Value Investing" report.

Three-element analysis: Understanding the paper

Using the three-element decomposition method of identifying key elements, understanding the small loop, and mastering the large loop, this tool automatically or interactively dissects the argumentation framework of any paper. It includes 14 built-in AI Prompt templates, suitable for all academic readers.

Literature search on the method of peeling onions upside down

Enter a topic phrase, and it automatically breaks down the topic structure using the "onion peeling method" → expands synonyms → generates four-layer search queries (CNKI + WoS/Google Scholar), and provides an execution list and filtering strategy. Applicable to all disciplines, the search queries can be directly pasted and used. 🎯 What pain points does it solve? ❌ Directly entering a whole sentence into the search box → 0 results ❌ Searching for only one keyword → 5000 results with no idea where to start ❌ Not knowing how to break down a topic → No direction in search terms ✅ Enter "Middle-class educational anxiety and shadow education practices" → Output 30+ directly pasteable search queries + a thesaurus + a layered execution list 📐 Core method: The onion peeling method expands from the inside out, from narrow to wide, in three progressively deeper layers—the core layer precisely identifies 4 essential reading articles, the expansion layer finds 48 directly related studies, and the panoramic layer establishes a comprehensive understanding of the field's scope. 🔧 Output includes: • Breakdown of the three elements of topic selection (qualifiers + research unit + research dimension) • 5-8 related concepts for each element + Chinese-English comparison + superordinate/subordinate concepts • First layer: 8 sets of three-element combination search formulas (title → topic, tight → loose) • Second layer: 3 types of two-element pairings (marking core/background uses) • Third layer: Single-element panoramic search formula • Fourth layer: Superordinate concept expansion strategy • 📋 Six-step execution checklist + screening criteria for each layer (highly cited + cutting-edge) 👥 Who is it suitable for? Academic novices, graduate students, young scholars—anyone who needs to systematically conduct literature searches rather than searching keywords based on intuition.