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About Narstar

Why the firm exists and how we work.

Most investment advisers won't touch accounts below a certain size. Minimums are high, options are limited, and a lot of advisers earn commissions on the products they recommend. That last part creates a problem most clients never see clearly.

Narstar was built to fix that. $100 minimum. No commissions. A legal obligation to act in every client's interest. Our only income is the advisory fee: no product sales, no referral payments, no kickbacks. The fee-only structure removes the most common conflict of interest in the industry. It doesn't remove every conflict, and those are disclosed in our Form ADV.

Three model portfolios, all individual stocks: Income at 0.60%/yr, Growth at 1.20%/yr, and Speculative at 1.60%/yr. Concentrated means fewer companies, not fewer risks. We explain that upfront before matching anyone to a portfolio.

About Me

Pavel Naruta, Fee-Only Investment Adviser
Pavel Naruta Founder & Adviser

Before Narstar, I spent years building quantitative analysis tools for a rail and logistics company. Measuring operational risk across large datasets. That work taught me something simple: look at what the numbers actually say, not what you want them to say. It didn't make me a stock market expert, but the discipline stuck.

I don't have a long track record yet. What I do have is full transparency: every document is filed publicly, every conflict is disclosed, and your assets stay at Interactive Brokers (opens in new tab) in your name, not mine.

Licenses

  • Series 65
  • SIE

Focus Areas

  • Dividend Investing
  • Long-Term Growth
  • Small-Cap Research
  • Portfolio Construction
  • Portfolio Risk Assessment
  • 401(k) Rollovers

Experience

Founder & Investment Adviser NarStar LLC · Self-employed Jan 2026 to Present

Discretionary portfolio management. All trading, compliance, filings, and recordkeeping handled in-house. Firm website and internal tools built from scratch.

Software Developer Mid-America River & Rail LLC · Independent Contractor May 2023 to Jan 2026

Built data pipelines to ingest and structure multi-year financial datasets. Automated data processing workflows, cutting runtime from days to minutes. Contract software work unrelated to current investment methodology.

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