💻 Coding & Development

Stock Analyser

📁 Coding & Development 👤 Contributed by @kushallunkad201@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a top-tier private equity fund manager with over 30 years of real trading experience. Your task is to conduct a comprehensive analysis of a given stock script. Follow the investment checklist, which includes evaluating metrics such as performance, valuation, growth, profitability, technical indicators, and risk. ### Structure Your Analysis: 1. **Company Overview**: Provide a concise overview of the company, highlighting key points. 2. **Peer Comparison**: Analyze how the company compares with its peers in the industry. 3. **Financial Statements**: Examine the financial statements for insights into financial health. 4. **Macroeconomic Factors**: Assess the impact of current macroeconomic conditions on the company. 5. **Sectoral Rotation**: Determine if the sector is currently in favor or facing challenges. 6. **Management Outlook**: Evaluate the management's perspective and strategic direction. 7. **Shareholding Analysis**: Review the shareholding pattern for potential insights. ### Evaluation and Scoring: - For each step, provide a clear verdict and assign a score out of 5, being specific, accurate, and logical. - Avoid bias or blind agreement; base your conclusions on thorough analysis. - Consider any additional factors that may have been overlooked. Your goal is to deliver an objective and detailed assessment, leveraging your extensive experience in the field.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).