{"slug": "a-sec-filing-research-prompt-pack-for-source-aware-stock-research", "title": "A SEC filing research prompt pack for source-aware stock research", "summary": "A developer has created a prompt pack for source-aware stock research that requires AI models to cite specific SEC filings, dates, and exact excerpts for every claim. The workflow enforces a non-negotiable rule that answers must include source type, publication date, exact text, confidence level, and what remains unknown, with a built-in checklist of red flags that force human review. The project, called Tomorrow Terminal, aims to combine filings, financials, market data, and crowd discussion into a single company profile without allowing AI to invent confidence or make predictions.", "body_md": "##\nWho this is for\n\nUse this when you want to understand a company from primary sources without letting an AI model invent confidence. The goal is not to decide whether a stock is good or bad. The goal is to build a cleaner research trail from SEC filings, financial statements, market data, news, and crowd discussion.\n\n##\nNon-negotiable rule\n\nEvery answer must include:\n\n- Source type, for example 10-K, 10-Q, 8-K, S-1, earnings release, transcript, news article, or company page\n- Filing or publication date\n- Exact excerpt or table row used\n- A short explanation of why it matters\n- Confidence level\n- What is still unknown\n\nIf the model cannot cite the source, it should say so and stop.\n\n##\n10 minute first-pass workflow\n\n-\nIdentify the business\n\n- Read the company description, segment note, and latest risk factors.\n- Output a one-paragraph plain-English business model.\n\n-\nFind what changed\n\n- Compare the latest 10-Q or 10-K against the prior period.\n- Focus on revenue, gross margin, cash flow, debt, customer concentration, and share count.\n\n-\nCheck liquidity and dilution risk\n\n- Pull cash, debt, operating cash flow, recent financing, shelf registrations, warrants, and ATM programs.\n\n-\nRead management's own warnings\n\n- Extract the 5 to 10 risk factors most directly tied to revenue, survival, regulation, or financing.\n\n-\nSeparate facts from narrative\n\n- Create two columns: verified facts and management claims.\n\n-\nInspect market and crowd context\n\n- Summarize recent news, Reddit, and StockTwits discussion as attention context only.\n- Do not treat crowd excitement as evidence of business quality.\n\n-\nWrite the research memo\n\n- Summarize what is known, what changed, what could matter next, and what needs human review.\n\n##\nPrompt 1: source-grounded company snapshot\n\n##\nPrompt 2: compare this filing to the prior one\n\n##\nPrompt 3: risk factor triage\n\n##\nPrompt 4: liquidity and dilution checklist\n\n##\nPrompt 5: management claim audit\n\n##\nPrompt 6: crowd discussion sanity check\n\n##\nPrompt 7: final research memo template\n\n##\nRed flags that should force a human review\n\n- The model cites a filing but cannot quote the excerpt\n- The model mixes quarterly and annual numbers without labeling them\n- The model treats adjusted EBITDA as cash flow\n- The model ignores share count changes\n- The model makes a recommendation from social sentiment\n- The model summarizes a risk factor without checking whether it changed\n- The model uses news as proof when the primary filing says something narrower\n\n##\nClean output checklist\n\nBefore sharing a research note, verify:\n\n- Every major claim has a source\n- Dates are visible\n- Excerpts are short and exact\n- Unknowns are listed instead of guessed\n- Crowd chatter is clearly labeled as chatter\n- The conclusion does not become financial advice\n\n##\nWhy I made this\n\nI have been working on Tomorrow Terminal, a source-aware stock research workflow that combines filings, financials, market data, news, Reddit, and StockTwits into one company profile. This prompt pack is the manual version of the standard I want AI research tools to meet: useful summaries, visible evidence, and no magic predictions.\n\nResearch only. Not financial advice.", "url": "https://wpnews.pro/news/a-sec-filing-research-prompt-pack-for-source-aware-stock-research", "canonical_source": "https://dev.to/gandalfthegato/a-sec-filing-research-prompt-pack-for-source-aware-stock-research-152e", "published_at": "2026-05-26 23:48:22+00:00", "updated_at": "2026-05-27 00:03:22.725611+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-tools", "ai-ethics"], "entities": ["SEC"], "alternates": {"html": "https://wpnews.pro/news/a-sec-filing-research-prompt-pack-for-source-aware-stock-research", "markdown": "https://wpnews.pro/news/a-sec-filing-research-prompt-pack-for-source-aware-stock-research.md", "text": "https://wpnews.pro/news/a-sec-filing-research-prompt-pack-for-source-aware-stock-research.txt", "jsonld": "https://wpnews.pro/news/a-sec-filing-research-prompt-pack-for-source-aware-stock-research.jsonld"}}