Building an Evidence-Based Investment Process

The sequence

A disciplined process moves through the same steps for every company, in the same order, so decisions can be compared fairly across time.

• Discover — use a screener to narrow a large universe to companies worth a closer look
• Research — read the business itself: what it sells, how it earns, its filings and disclosures
• Compare — weigh the company against others and against your own criteria
• Evaluate Risk — examine risk intelligence and the company's own risk disclosures
• Watch — add companies of ongoing interest to a watchlist for patient observation
• Decide — make a considered decision, informed by research, that remains yours alone
• Monitor — review the thesis against new results and disclosures over time

What happens at each step

Discover and Compare are largely about narrowing attention across many companies. Research and Evaluate Risk go deep on one company at a time, using both the business's own disclosures and the platform's research views as starting points.

Watch is a holding pattern for patient observation, not a queue of pending purchases. Decide is the point where judgment, not any tool, determines the outcome. Monitor closes the loop by checking whether reported results still support the original reasoning.

Walkthrough: reading a research card

Fictional, dated cards for practice. None of these companies or numbers is real. Work through each card in the same order: quality, valuation and price risk, coverage, professional activity, portfolio relevance — then list the next evidence to check.

• Card A — High score, high risk (fictional 'Northwind Chips', as of 2026-05-15): Pro Investor Score 84; Long-Term Potential strong; Price Risk group: higher; valuation well above its own history; coverage Good. Next evidence: how far the price has fallen in past downturns, what the valuation already assumes, and whether a position this volatile fits your plan. A high score does not mean low risk.
• Card B — Missing data (fictional 'Cedar Health', as of 2026-05-15): Partial Coverage; Ownership Intelligence missing; other components average. Next evidence: read the latest 10-K and 10-Q yourself and check for 13F or Form 4 filings. Missing evidence is not a good or bad sign — it is a gap.
• Card C — Stale data (fictional 'Ridge Logistics', as of 2026-02-02, viewed 2026-05-20): score looked strong, but the card is more than three months old and a newer quarterly report is out. Next evidence: the newest filing and current status label. Stale cards are left out of the ranking for a reason.
• For every card, write down portfolio relevance: would it add a different kind of exposure, or more of what you already own?

Reading Daily 3 and model-portfolio results

Daily 3 publishes research picks separately for Stocks, ETFs and Crypto, and each has its own status. A category may show as not ready or with no qualified picks on a given day — that is the model working as designed, not missing content. Always check the status label and the as-of date before reading any pick.

Model-portfolio results are hypothetical. Fictional example, dated 2026-05-20: start with $10,000 and add $100 each trading day for 60 trading days. Money added = $16,000. If the balance reads $16,400, only $400 is market gain — the other $6,000 of growth is deposits. A rising balance is not the same as a return, and a falling market can still show a rising balance while deposits continue.

Hypothetical and benchmark comparisons depend on start date, timing of purchases, costs and assumptions. They are not results any real investor received.

Why writing it down matters

A process that lives only in memory tends to bend after the fact: a good outcome gets credited to skill, and a bad one gets blamed on bad luck, regardless of what was actually known at the time.

Writing down each step, and the reasoning behind a decision at the Decide step in particular, creates a record that can be checked later against what actually happened.

Repeatability over time

Applying the same sequence to every company, rather than an ad hoc mix of steps chosen after the fact, is what makes results comparable across companies and across years.

Monitoring is not optional: a process that stops at the decision, without reviewing outcomes against the original thesis, cannot improve.