Stock research guides & prompts
Practical guides for retail investors: metrics, workflows, and ready-to-use Ask Blinx prompts. Educational only; not investment advice.
Guides
Guide
What is an AI stock research workspace?
How a single AI workspace replaces tab-hopping between charts, news, and chatbots for retail investors.
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ChatGPT vs a dedicated stock research tool
When a general chatbot is enough, and when you need live market data, charts, and portfolio context.
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Free cash flow explained for retail investors
A plain-language guide to free cash flow (FCF), FCF yield, and the questions worth asking next.
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Operating cash flow vs. net income
Why cash from operations and reported profit can diverge, and which follow-up questions that gap should trigger.
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"ROIC and ROCE: quality metrics without the jargon"
Understand return on invested capital and return on capital employed, and how to ask better follow-ups.
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How to read a P/E ratio, and when it misleads
What price-to-earnings measures, how to compare it, and the cases where a “cheap” or “expensive” multiple is the wrong conclusion.
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How to read gross margin charts
Use gross margin trends to understand pricing power, mix shifts, and cost pressure, then ask sharper follow-ups.
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A practical economic moat checklist
How retail investors can test whether a business has a durable advantage, without treating “moat” as a slogan.
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Earnings season checklist for retail investors
A practical checklist of questions to ask before, during, and after an earnings release.
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When AI stock research fails
The failure modes of chatbot and terminal-assisted equity research: stale numbers, missing context, and false confidence.
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Build a watchlist workflow that compounds
Turn a watchlist from a ticker graveyard into a repeatable research habit with AI follow-ups.
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Why portfolio context matters (and how Parqet fits)
Generic AI answers ignore what you own. Portfolio context, including a Parqet sync, makes research personal and practical.
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Connect TradingView MCP
Link your TradingView account in Blinx Settings for read-only earnings and economic calendars, forecasts, and transcripts in chat.
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How to ask better stock research questions
Prompt patterns that get useful, grounded answers: quality, valuation, risk, and news.
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A minimal research stack for retail investors
Charts, fundamentals, news, and AI. The smallest stack that still supports serious DIY research.
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When Lang & Schwarz quotes update on Blinx
How often L&S prices refresh, what the EUR mid means, and how it differs from the NASDAQ listing price.
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Prompt library
Copy-ready questions for quality, valuation, risk, news, and portfolio context.
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"Parqet and Blinx: better together"
Parqet tracks your portfolio. Blinx is the AI research layer beside it. Complementary, not a replacement.
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ChatGPT vs Blinx for stock analysis
For concepts, ChatGPT is enough. For a single ticker with market data, charts, and portfolio context beside the answer, use Blinx — Not investment advice.
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Claude vs Blinx for stock analysis
For concepts or a pasted note, Claude is enough. For one ticker with market data, charts, and portfolio context beside the answer, use Blinx — Not investment advice.
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Perplexity vs Blinx for stock analysis
For a cited web roundup, Perplexity is enough. For one ticker with market data, charts, and portfolio context beside the answer, use Blinx — Not investment advice.
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Try it in the terminal
Ask your next stock question with live charts and multi-model AI beside the chat.
Educational content only. Not investment, tax, or legal advice. Do your own research.