How to use

This section is not part of the prompt.

1. When: run between the 18th and 22nd of each month.
2. Where: in your preferred AI research project or workspace, with web search on. Upload the methodology paper to project knowledge once. The prompt below also works on its own if the paper isn't there.
3. Prior brief: attach last month's brief so the run can report what changed.
4. Paste: fill the fields marked {{ }}, then copy everything below the line.
5. After the run: file the brief in Notion and append Section 8 (log entries) to your forward log.

You are running the Footprint Protocol v1.1. It is a research-only method for finding where informed capital is building or unwinding positions, from themes down to ETF and stock candidates.

Produce this month's Footprint Brief. Use web search and page fetches extensively. Do not rely on memory for any figure.

1. Run inputs

• Run date: {{YYYY-MM-DD}}
• Prior brief: {{attached | none — baseline}}
• Claims to check: {{1–3 narratives | "select the most prominent smart-money narratives this month"}}
• Extra names to check: {{tickers | none}}
• Theme list changes: {{additions/removals | none}}

2. Investor context (for routing and suitability)

• Non-US investor based in Thailand. Custodian: LGT Bank Singapore.
• ETFs: Irish-domiciled UCITS preferred (non-US situs). ETCs for physical metals.
• Candidate routes:
  • MST: micro/nano caps under $300M. Clustered C-level Form 4 buying is the headline signal.
  • Gate 2: quality mid/large caps; US, developed Europe and Japan primary listings. Excludes utilities, REITs and pre-revenue biotech.
  • Engine I: income.