User Prompt
Translate the macroeconomic scenario below into a structured view for the Brazilian stock market (B3). TASK Produce: 1. scenario_summary: 1-2 sentences restating the scenario in your own words, reflecting the ACTUAL input (do not use a generic template). 2. positive_sectors: the TOP 5 sectors that benefit, each with a "sector" name and a "rationale" (1-2 sentences) describing the transmission mechanism specific to THIS scenario. 3. negative_sectors: the TOP 5 sectors that are hurt, same structure. 4. positive_tickers: 3 B3 tickers most positively exposed, each with "ticker" and a "rationale" grounded in company characteristics. 5. negative_tickers: 3 B3 tickers most negatively exposed, same structure. 6. market_risks: the TOP 3 risks that would prevent this thesis from materializing. 7. confidence_score: an integer 1-10 reflecting how confident you are in the transmission, with a "confidence_rationale" string explaining the number. OUTPUT CONTRACT (return ONLY this JSON object, no fences, no extra text): {{ "scenario_summary": "string", "positive_sectors": [{{"sector": "string", "rationale": "string"}}], "negative_sectors": [{{"sector": "string", "rationale": "string"}}], "positive_tickers": [{{"ticker": "string", "rationale": "string"}}], "negative_tickers": [{{"ticker": "string", "rationale": "string"}}], "market_risks": ["string", "string", "string"], "confidence_score": 0, "confidence_rationale": "string", "investment_view": "string (1-2 sentences: net positioning implied)" }} MACRO SCENARIO (your single source of truth): {scenario}
fill the variables
This prompt has 3 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{{"sector": "string", "rationale": "string"}{{"ticker": "string", "rationale": "string"}{scenario}
Unlock with Pro →when to use it
Community prompt sourced from the open-source GitHub repo nicolyyr/bradesco-bbi-ai-challenge (MIT). A "User Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
languagecommunitygeneral
source
nicolyyr/bradesco-bbi-ai-challenge · MIT