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25-Point Framework

The 25-Point Value Investing Checklist

The exact framework I used to find 10x positions in GSE preferred stocks

Built from analyzing hundreds of stocks, writing 300+ articles on SeekingAlpha, and running Global Speculation LP. Check each item as you evaluate a stock. Your progress saves automatically.

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Why I Built This Checklist

I've analyzed hundreds of stocks. Most of them failed this checklist. The few that passed made me real money.

After a decade of writing about investing on SeekingAlpha, running a hedge fund focused on government-sponsored enterprise preferred stocks, and executing 2,068 trades across 23 different securities, I've distilled everything I know about stock analysis into 25 questions. If a stock can't pass at least 18 of them, I don't waste my time.

This isn't a screener. Screeners give you lists of statistically cheap stocks. This is a framework for understanding whether a specific stock deserves your money, your time, and your conviction. The difference between cheap and undervalued is this checklist.

Each item has three components: the criterion itself, my personal take on it (drawn from real experience, not textbook theory), and green/amber/red thresholds so you know where to draw the line. Check the box when the stock passes your analysis for that criterion. Your progress saves automatically in your browser.

Valuation

0/5

Financial Health

0/5

Business Quality

0/5

Growth & Catalysts

0/5

Risk Assessment

0/5

Real Examples from My Portfolio

20/25 — Promising

FNMAS — Fannie Mae 8.25% Non-Cumulative Preferred

When I first started accumulating FNMAS in 2022 at around $3-5 per share, here's how it scored on this checklist:

Passed (20 items)

Valuation: P/B under 0.2x, massive margin of safety, DCF showed 5-10x upside. Financial Health: Company was generating $20B+ annual profit (swept by Treasury). Enormous free cash flow, zero debt issues. Business Quality: Government-chartered duopoly on secondary mortgage market — the widest moat in finance. 60%+ market share. Essential to US housing. Growth: Housing demand is secular. Clear catalyst path through courts and executive action. Risk: Clean accounting (government-audited GSE), no customer concentration risk, no short squeeze concern.

Failed (5 items)

Regulatory environment: Actively hostile — FHFA controlled everything and Treasury swept all profits. Litigation risk: Multiple active lawsuits, uncertain outcomes. Downside scenario: Legislation could theoretically wipe out preferreds entirely — binary zero risk. Management quality: No real management — FHFA ran the show. Insider ownership: Not applicable in conservatorship.

Result: Bought heavily at $2.80-$5.00. Positions appreciated to $15-22+ as the Trump administration moved toward conservatorship exit in 2025-2026. A 5-8x return on the core position. The five items it failed were all related to the unique conservatorship structure — in a normal company, those would have been disqualifying. The 20 items it passed were overwhelmingly strong. See my full trading analysis for the complete data.

8/25 — Don't Touch

A Mid-Cap "Value Trap" I Walked Away From

In 2023, a reader sent me a mid-cap industrial company trading at 7x earnings with a 4% dividend yield. On the surface, it looked like classic value. Here's what the checklist revealed:

Passed (8 items)

Low P/E and P/B ratios. Reasonable EV/EBITDA. Decent current ratio. Positive free cash flow (barely). Revenue was flat but stable. Low short interest. No material litigation. Had adequate cash reserves for 18+ months.

Failed (17 items)

No margin of safety: cheap, but the DCF showed it was actually fairly valued with declining earnings. Debt-to-equity above 2.5x with rising rates. Interest coverage at 1.8x — more than half of operating income went to creditors. No competitive moat — commodity business in a declining industry. Margins contracting for four straight quarters. Management had destroyed value with three overpriced acquisitions. Insiders were net sellers. Revenue growth below the industry average. No identifiable catalyst. Industry was facing secular headwinds from automation. Top customer was 22% of revenue. Accounting showed a growing gap between net income and operating cash flow. Downside scenario involved potential covenant violations on the debt.

Result: I passed. Six months later, the company cut its dividend by 60% and the stock dropped another 35%. A 7x P/E doesn't help when earnings are falling toward zero. This is the difference between cheap and undervalued. Cheap is a number. Undervalued is a conclusion you reach after doing the work. This checklist is the work.

How to Use This Checklist Properly

This checklist is a framework, not a formula. You don't need a perfect 25/25 score to make money. In fact, I've never seen a stock that scores a perfect 25. The best investments I've made scored between 18 and 22 — strong enough across most categories, with clearly identified risks that were compensated by an outsized margin of safety.

Start with valuation. If the stock isn't cheap by at least two of the five valuation metrics, stop. No amount of business quality justifies an expensive stock for a value investor. Buffett famously said he'd rather buy a wonderful business at a fair price than a fair business at a wonderful price — but he's Warren Buffett. You and I need a margin of safety.

Next, financial health. This is where most value traps reveal themselves. A company can look cheap on every valuation metric and still go bankrupt because it can't service its debt. I check the balance sheet before I check the income statement, every single time. The order matters because a clean balance sheet gives you time — time for the thesis to play out, time for catalysts to arrive, time for the market to recognize what you see.

Business quality separates the multi-baggers from the dead cats that bounce. A company with a durable competitive moat, growing revenue, and expanding margins can compound wealth for decades. A company without those things might give you a quick 20% trade, but it won't build your net worth over time. When I look at my current positions, the thread that connects them all is business quality — companies that would be worth more every year even if the stock market closed for a decade.

Why Each Category Matters

Valuation without quality is a value trap. I've seen dozens of stocks that were statistically cheap — low P/E, low P/B, high dividend yield — that kept getting cheaper because the underlying business was deteriorating. A falling knife looks cheap at every price point. Valuation tells you what you're paying. Quality tells you what you're getting.

Quality without valuation is speculation. Buying the best business in the world at 50x earnings is not value investing — it's a bet that growth will bail you out of an expensive purchase. Sometimes it works. But when it doesn't, the drawdown from overpaying for quality is brutal because the business never actually breaks — it just doesn't grow fast enough to justify the price you paid.

Catalysts are what turn value into returns. A stock can be undervalued for years — even decades — without a catalyst. My GSE preferred position was undervalued from 2012 to 2024. Without the catalyst of a new administration committed to recapitalization, that undervaluation might have persisted indefinitely. The catalyst is what closes the gap between price and value. Without it, you're just right and early, which in markets feels exactly like being wrong.

Risk assessment is position sizing. A stock that scores 22/25 with a binary downside scenario deserves a smaller position than a stock that scores 19/25 with limited downside. Risk assessment doesn't tell you whether to invest — it tells you how much. I sized my GSE preferred position knowing it could go to zero. That sizing decision was more important than the analysis that led to the buy decision.

Common Mistakes I See (and Have Made)

Mistake #1: Skipping financial health because the valuation is too good. This is how you buy a company at 5x earnings and watch it go bankrupt. I almost made this mistake with a small-cap that looked insanely cheap on every valuation metric. Then I checked the balance sheet: debt covenants were about to trip, interest coverage was below 1.5x, and the revolving credit facility was fully drawn. The stock was cheap because the company was about to die. Always check the balance sheet first.

Mistake #2: Ignoring catalysts and hoping the market will "figure it out." The market can stay irrational longer than you can stay solvent. Keynes said that. It's been true for a hundred years. Without a catalyst, an undervalued stock is just a good idea with no timeline. I waited twelve years for the GSE catalyst. Most investors don't have that patience — or that time horizon. Be honest about yours.

Mistake #3: Confusing cheap with undervalued. A stock at $2 is not automatically a better value than a stock at $200. A stock trading at 6x earnings is not automatically undervalued. Cheap is a price. Undervalued is a conclusion based on analysis. This entire checklist exists because those two concepts are not the same, and mixing them up is the most expensive mistake in value investing.

Mistake #4: Treating the checklist like a binary pass/fail without weighting. Not all 25 items carry equal weight. A company with a fortress balance sheet (financial health: 5/5) and an enormous moat (business quality: 5/5) can afford to fail a couple of valuation criteria because time is on its side. A company with weak financial health that passes everything else is a ticking time bomb. Weight the categories based on the specific situation.

Mistake #5: Analysis paralysis. If you spend three weeks analyzing a stock and still can't decide, the answer is probably no. The best investments in my career were obvious within a few hours of analysis. The checklist just confirmed what my gut already suspected. If you need to squint to see the value, there probably isn't any.

The Difference Between Cheap and Undervalued

This is the concept that separates profitable value investors from everyone else. A stock is cheap when its price is low relative to some metric — earnings, book value, sales. A stock is undervalued when its price is low relative to its intrinsic worth, which accounts for the quality of the business, the durability of its earnings, and the probability of its future cash flows materializing.

A retailer with declining same-store sales, rising inventory, and a new competitor eating its lunch can trade at 5x earnings and still be overvalued — because those earnings are going to zero. Meanwhile, a software company with 90% gross margins, net revenue retention above 120%, and a ten-year growth runway might be undervalued at 30x earnings — because those earnings are about to triple.

The first three sections of this checklist (valuation, financial health, business quality) work together to answer one question: is this stock cheap, or is it truly undervalued? If you can answer that question correctly even 60% of the time, you will beat almost every professional money manager over a 10-year period. My approach to security analysis is built on this single distinction.

When to Break the Rules

Every rule in investing exists to be broken — under the right circumstances, by someone who understands why the rule exists in the first place. Here's when I break my own checklist:

Concentrated bets on high-conviction ideas. Conventional wisdom says diversify. I put the majority of my investable assets into GSE preferred stocks — a concentrated bet on a single thesis. The checklist told me the margin of safety was enormous and the moat was unbreakable. When those two conditions are met, concentration isn't reckless — it's rational. Diversification is protection against ignorance. If you've done the work and you understand the investment better than 99% of the market, concentration is how you get paid for that knowledge.

Accepting binary risk for asymmetric payoff. GSE preferreds had a real chance of going to zero. That should have been disqualifying under any standard risk framework. But the potential payoff was 5-10x, and I assessed the probability of the zero outcome at under 20%. The expected value was massively positive. Sometimes the rules say "don't touch" and the math says "back up the truck." In those moments, trust the math — but size the position for the risk you're taking.

The key: know which rules you're breaking and why. Breaking rules without understanding them is gambling. Breaking rules because your analysis shows the standard framework doesn't apply to this specific situation is edge. The difference is whether you can articulate exactly why the rule doesn't apply. If you can't explain it clearly, you're probably just rationalizing a bad decision. I track all of my worst trades to stay honest about the difference.

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Disclaimer: This website is for informational and entertainment purposes only. Nothing on this site constitutes financial advice, investment advice, legal advice, or a recommendation to buy or sell any securities. Glen Bradford is not a registered investment advisor, broker, or attorney. Past performance is not indicative of future results. All investments carry risk, including total loss of principal. Significant portions of this site were generated or assisted by AI (Claude by Anthropic). While we strive for accuracy, AI-generated content may contain errors, outdated information, or misattributions. Quotes, book recommendations, and achievements attributed to public figures are sourced from publicly available interviews, articles, and books — but may be paraphrased, taken out of context, or inaccurate. These attributions do not imply endorsement of this site by those individuals. Screenplays and creative content are dramatizations for entertainment purposes. Glen Bradford holds positions in securities discussed on this site and has a financial interest in Fannie Mae and Freddie Mac preferred shares. Some links are affiliate links — if you purchase through them, Glen earns a small commission at no extra cost to you. Always do your own research. Consult qualified professionals before making financial, legal, or investment decisions.