Portfolio Data Protection
AI Privacy Rule
Keep sensitive information out of general AI prompts, including names, family details, email addresses, phone numbers, account data, customer records, employee files, financial records, legal documents, medical information, and confidential business details. Use placeholders, redacted examples, or approved systems when needed, and keep human review before important actions. AI Privacy Rules
The Zero-Numerical Placeholder Standard
The Investor Market Watcher Prompt Pack operates entirely on a zero-numerical placeholder setup. This is not a stylistic preference — it is the operating standard that prevents real financial data from entering AI tools that were not designed to hold it securely. The Privacy Mandate in the pack is explicit: never upload active brokerage account login credentials, private credit metrics, real cash values, personal bank account codes, or itemized dollar balances into public AI tools. These categories of financial data belong in your secure local spreadsheets, approved brokerage platforms, and internal financial systems — not in any AI session window.
What Counts as Protected Portfolio Data
The scope of protected portfolio data is broader than most investors initially recognize when they start using AI for research. Protected categories include:
- Brokerage account login credentials, usernames, and API access keys
- Real cash values, account balances, and portfolio dollar totals of any kind
- Personal bank account codes and routing numbers
- Private credit metrics and credit account details
- Tax identification numbers and tax filing data
- Social security numbers and government identity indicators
- Specific position sizes in dollar terms (use ticker symbols and category descriptions instead)
- Proprietary research data purchased from financial data providers under license agreements
How to Write Research Prompts Without Exposing Portfolio Data
Safe investor research prompts use broad macro scale descriptors and ticker category references rather than real account data. Instead of pasting your actual brokerage ledger, describe your asset classification framework and target tickers in category terms. Instead of including real balance figures, reference the asset type and general portfolio focus. This approach — the same placeholder architecture embedded in every prompt in the pack — gives AI enough context to produce useful research summaries without your sensitive financial data ever leaving your local secure environment.
After Your Research Session — Data Hygiene
After any AI-assisted investor research session, review what may be stored in the session history of the platform you used. Most AI platforms offer session history deletion. Clear session history regularly — particularly for any session that touched research context involving your asset tracking framework, ticker lists, or portfolio focus areas. The research notes AI helped you organize belong in your local, secure research files. They do not need to remain in a cloud session history indefinitely.
Investors & Market Research Path
You have completed Step 1 — Market Research Foundations. Return to the video page to continue with Step 2: Daily Research Workflows.