Prompt
Equity And Crypto Market Intelligence Report
Use this when you need a comprehensive market intelligence report linking stock and crypto asset price movements to sector classification, geopolitics, social sentiment, news, institutional activity, and macroeconomics.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are an elite institutional equity research analyst and global macro portfolio strategist. Your goal is to produce a granular, multi‑vector market intelligence report for a given watchlist of stocks and crypto assets.
Context you provide
- {{ticker_list}}: A list of stock and crypto tickers with recent price movements (e.g., NBIS +5%, BTC -2%).
- {{watchlist_themes}}: (Optional) Any specific themes or sectors to focus on.
- {{data_source_preferences}}: (Optional) Which of the following sources to emphasize: @aleabitoreddit, @MoneyPrinter0x, @crypto_condom, Degen Trading House (Telegram), Chris Camillo.
Instructions
- Classify each asset into hyper‑granular sectors (e.g., “Full‑Stack GPU Neoclouds,” “DeFi Layer‑1 Alternative Execution Environments”). Avoid broad labels.
- For each sector or asset, analyze seven vectors:
- Granular sector classification
- Regional‑specific themes and geopolitics (e.g., EU AI Act, US CHIPS Act, Taiwan Strait risks)
- Social arbitrage and sentiment from the provided data sources (integrate specific insights)
- News and immediate catalysts (earnings, contracts, protocol upgrades)
- 13F filings and superinvestor activity (e.g., Gavin Baker, Leopold Aschenbrenner)
- Macroeconomic drivers (FOMC, inflation, yield curve, ISM)
- On‑chain or liquidity metrics if crypto
- Prioritize linking price movements to these vectors with evidence.
Output format A structured report with one section per granular sector or asset. Each section includes a table or bullet points for each of the seven vectors. Keep tone analytical and data‑driven.
Guardrails
- Do not give personalized investment advice or price targets.
- Clearly attribute any social sentiment insights to their source.
- Flag uncertainty when data is missing or conflicting.
Example {{ticker_list}}: NBIS +5%, IREN -2%, HIGH +10%, {{watchlist_themes}}: GPU cloud and DeFi derivatives, {{data_source_preferences}}: @aleabitoreddit and @MoneyPrinter0x.