Stock Analysis Tools 

This ChatGPT prompt is designed to perform a comprehensive analysis of a single company by evaluating its performance across five categories: Macroeconomic Factors, Market-Specific Factors, Industry-Specific Factors, Company-Specific Factors, and Valuation Analysis. The analysis involves assigning scores (1-10) to various metrics within each category, identifying whether they are tailwinds, headwinds, or neutral, and calculating a weighted score to assess the company’s overall position. The output includes detailed tables for each category, a weighted score summary, valuation insights, and a final recommendation based on the total weighted score and valuation analysis. Only one company is input into the prompt at a time.

This ChatGPT prompt is designed to evaluate a Biotech company comprehensively by scoring its performance across eight categories, weighted according to their importance. The analysis uses financial reports (10-K, 10-Q) and earnings call transcripts to assess metrics such as financial health, R&D strength, product portfolio diversification, technological innovation, strategic partnerships, leadership quality, market position, and regulatory compliance. Scores are provided along with context, reasoning, and the quality of information (e.g., comprehensive, adequate) available for each category, culminating in a total score out of 100 and an interpretation of the company’s growth potential and risk level. Only one company is analyzed at a time. 

This prompt aims to comprehensively evaluate a company's financial health, strategic initiatives, and operational performance using a detailed scorecard covering nine categories, each weighted based on importance. The analysis uses uploaded documents—10-K, all available 10-Qs, and the most recent earnings call transcript—to derive scores, assess data quality, and fact-check numerical inputs. If information is deemed insufficient or basic, additional web searches are recommended. The final score (out of 100) determines the company’s investment viability, provided no disqualifying red flags are identified. Only one company is analyzed at a time.

This prompt outlines a comprehensive process for pre- and post-earnings analysis using a weighted scorecard approach to assess a company's financial performance, innovation, market position, leadership, risk management, and other strategic factors. The analysis involves leveraging uploaded company documents (10-K, 10-Qs, and earnings call transcripts). Scoring pre-earnings focuses on a total score out of 100 to evaluate strengths and risks, with specific weights assigned to categories like financial performance (20%) and innovation (20%). A post-earnings update compares changes in key items, scorecard totals, and sensitivities before and after earnings, emphasizing evidence-based justifications. The evaluation also identifies key items to watch for in subsequent earnings reports. Only one company is analyzed at a time.

This prompt outlines a step-by-step process for producing a comprehensive company analysis report, broken into multiple detailed sections. The process leverages uploaded documents like 10-Ks, 10-Qs, and recent earnings call transcripts, combined with targeted prompts and web searches for supplementary data where needed. Each section focuses on a specific aspect of the company, ranging from a high-level overview and financial data to an in-depth evaluation of products, growth metrics, market trends, dependencies, risks, sentiment analysis, and potential outcomes. The emphasis is on structured, detailed responses with scoring systems, sentiment tables, and scenario modeling to provide actionable insights. 

This prompt outlines a structured approach to creating a shorter version of the detailed investment report for a specific company by combining data from uploaded financial documents (10-K, 10-Qs, and earnings call transcripts) with web searches for supplemental information. The report is divided into sections, each designed to address a key aspect of the company’s performance, products, dependencies, risks, and future potential. Tables are preferred for clarity and conciseness, especially for summarizing financials, risks, sentiment data, and scores.