Investment Disclaimer

Last updated: October 13, 2026

Educational purpose only

SAVNG is an educational stock-valuation tool. It is not a registered investment advisor, broker-dealer, financial planner, or research firm. Nothing on this site constitutes investment advice, a recommendation to buy or sell securities, or an offer of advisory services. The operator (a practicing physician, not a licensed advisor) and the underlying entity (GigHz LLC) do not provide personalized financial planning, security selection, or portfolio management services.

Model limitations

Every intrinsic value, P/IV ratio, margin of safety, expected return, and sensitivity figure on the site is a mathematical model output. The output depends on assumptions — discount rates, growth projections, terminal values, model selection — that may not reflect actual future performance. Models use historical financial data; that data is sourced from SEC EDGAR (raw XBRL filings, U.S. public-domain government data) and supplementary feeds, but it can still contain reporting errors, restatements, and edge cases that the normalization layer doesn't catch.

The labels "undervalued," "overvalued," and "fairly valued" refer exclusively to the model's output relative to its own assumptions — not to objective reality or to any prediction about future price movement.

Data quality grading

Each stock page displays a data-quality badge: GOOD, PARTIAL, or LIMITED. PARTIAL and LIMITED pages have missing or noisy fundamentals. Treat them as a starting point only — re-verify any figure that matters to your decision against the company's most recent 10-K or 10-Q on EDGAR directly.

Insider signals and "smart money"

Our insider signals are built from SEC Form 4 filings — public information that anyone can read, filed after the fact. We do not have, seek, or act on non-public information. We apply a published academic framework (Cohen, Malloy & Pomorski) to separate "routine" trades from "opportunistic" ones, and we flag cluster buys and low-density (rarely-trading) buyers.

That classification is our interpretation, and it can be wrong. Routine detection depends on how much filing history we've scanned; a trade labeled "opportunistic" may be routine (and vice versa). Filings can be amended, mis-tagged, or filed late. An insider buying tells you one person committed their own money — it does not tell you the stock will rise, that they are right, or that their reasons apply to you. Insiders are frequently wrong, and they are notoriously poor market timers. The presence of a signal on this site is not a recommendation to buy, sell, or hold anything.

Backtests and hypothetical performance

Read this before you look at any performance figure on this site. The returns, hit rates, averages, t-statistics, Sharpe ratios, month-by-month tables, and strategy simulations we publish are hypothetical and model-generated. They do not represent actual trading, and no real money was ever placed on them. No account achieved these results.

Hypothetical results carry inherent, well-documented limitations, including but not limited to:

• They are computed with the benefit of hindsight on data we hold today.
• They generally ignore trading costs, slippage, spreads, borrowing costs, taxes, and the practical difficulty of executing at the prices shown.
• They are drawn from a small sample over a short window — our price history begins in 2025, so the measurable period is limited and the numbers are statistically noisy. Small samples routinely produce impressive-looking results that vanish with more data.
• They are subject to selection and survivorship effects, coverage gaps, and the specific set of stocks our pipeline happened to scan.
• Methodology choices (holding period, weighting, thresholds) materially change results, and we may change them.
• A statistic such as a t-statistic or Sharpe ratio is a description of a past sample, not a promise about the future.

Past performance — real or hypothetical — does not predict or guarantee future results. We publish these numbers warts-and-all specifically so you can judge how weak or strong the evidence is, not to imply an edge exists. Any live results would differ, likely for the worse.

Market-risk scores

The market-risk figure is a historical frequency, not a forecast: how often the S&P 500 fell 10% or more within three months on past days that looked like today (how far the index sat from its 150-day average, plus volatility, credit spreads and the yield curve). It is built from inputs we selected. A higher-than-usual chance is not a prediction that markets will fall, and a lower one is not a green light.

Automated alerts, emails, and social posts

Our email digests, alerts, and automated posts to third-party platforms (including Reddit and Bluesky) are machine-generated summaries of the same educational content on this site, published on a schedule. They carry the same limitations and are not advice, not recommendations, and not tailored to you. They may be delayed, incomplete, or wrong; data may have changed after sending. Never treat an alert as a signal to trade without doing your own work.

AI-generated content

News summaries, sentiment scores, and the multi-section narrative blocks are generated by large language models (Gemini and Claude). AI can produce errors, omissions, fabricated quotes, missed material events, and confidently wrong framing. AI-generated content on SAVNG should not be the sole basis for any financial decision. The "AI optionality caveat" on certain stock pages (e.g. for high-growth narrative stocks where the model under-prices optionality) is itself a model output and may itself be wrong.

YouTube video embeds

Video tiles surface recent third-party videos via the YouTube Data API. SAVNG does not endorse the creators, channels, or claims made in any embedded video. Many financial-content channels are paid promotions, contain undisclosed conflicts of interest, or push trading "signals." We surface them for context, not validation.

"You might also like" candidates

The candidate-stock module on individual pages is computed mechanically from sector, industry, and fundamentals shape. Inclusion is not a recommendation and does not reflect operator judgment about whether any candidate is a good investment. Always re-verify the underlying data on the candidate's own SAVNG page or directly via EDGAR.

Historical anchor comparisons

The "anchor stocks" framing (Amazon 1999, Tesla 2018, etc.) is intended to show the magnitude of growth required to justify today's price relative to magnitudes that have historically occurred. It is not a prediction that the current stock will follow the same trajectory. Most companies do not turn into the next Amazon. Many turn into the next Pets.com or WeWork.

No guarantee of returns

Past performance does not guarantee future results. Stock prices can go to zero. All investing involves risk of loss, including loss of principal. The fact that a model suggests a stock is "undervalued" does not mean its price will increase — and the fact that a stock is "overvalued" does not mean its price will fall. Markets can stay irrational longer than you can stay solvent.

Technical indicators

RSI, MACD, moving averages, and trend labels reflect historical price patterns and computational conventions. Past patterns do not predict future price movements.

Market context

VIX and DXY data, and market-regime classifications, provide macro context. They do not predict market direction.

Portfolio OS

The Portfolio OS tool stores positions, plans, and journal entries you enter yourself. It does not execute trades. Prices and alerts are informational. Stop-loss, trailing-stop, profit-ladder, and breaker logic are decision-support tools — you are responsible for executing trades with your broker.

Do your own research

Always conduct your own due diligence before making investment decisions. Consider consulting a qualified, licensed financial advisor — especially for significant financial decisions, retirement accounts, or anything in tax-advantaged structures. SAVNG is one tool among many; never your only source.

YMYL / E-E-A-T disclosure

This is a Your-Money-Your-Life website. The operator's credentials (board-certified Interventional Radiologist, NPI 1114223518, ORCID 0000-0002-2042-4906) and 30 years of personal investing experience are disclosed on the About page. These credentials do not constitute licensure as an investment advisor. The operator is not registered with the SEC, FINRA, any state securities regulator, or any equivalent body in any jurisdiction.

Liability

SAVNG, GigHz LLC, the operator, and all affiliates accept no liability for investment losses or damages resulting from use of this platform. You assume all risk associated with acting on any information provided by the Service.

Contact

Questions about the disclaimer or data sources: [email protected]. For data-correction requests on a specific stock, include the ticker and a link to the contradicting EDGAR filing.