Quick answer: AlphaLens runs every stock through 15 structured research frameworks — starting with what the company actually does and ending with a clear long-term thesis you can act on. Use them in order, start to finish, and you'll cover the same ground a professional analyst covers before putting real money into a stock.
This guide walks through all 15 frameworks — what each one is, what questions it answers, how to use it step by step, and how it connects to the others. Jump to any framework using the list below, or read straight through to see how they build on each other.
Want all 15 run on one ticker in a single pass? That's what the Run All feature is for — it applies every framework below to the stock you're researching and returns a complete analysis in one shot.
In short: Before you look at the stock price, understand the business. This framework gives you a plain-English picture of what the company does, how it makes money, and where it sits in its industry.
Many investors jump straight to the stock price or valuation numbers, which often leads to confusion. This framework forces you to understand the business first — the way a professional analyst would.
Questions it answers: - What does this company actually do? - How does it make money? - Who are its main customers? - What products or services drive most of its revenue? - Is the business simple to understand or complicated? - Where does the company sit in its industry?
How to use it, step by step: 1. Start with the basics. Ask: "In one or two sentences, what does this company do?" Write the answer in plain English. If you can't explain it simply, you don't understand it yet. 2. Look at how the company makes money. Ask: "Where does the revenue come from?" Break it down by product, service, or segment, and note which are growing and which are shrinking. 3. Identify the customers. Ask: "Who buys from this company?" Everyday people, other businesses, or governments? The customer type helps you judge how stable the revenue might be. 4. Note key strengths and weaknesses early. Ask: "What stands out as a clear advantage or problem?" You don't need deep analysis yet — just capture the obvious points. 5. Use this as your foundation. Everything that follows — moat analysis, valuation, risk — builds on this overview. A weak foundation makes the rest of the analysis less reliable.
When to use it: At the very beginning of researching any new stock. Never skip it.
Common mistakes beginners make: - Skipping the overview and jumping straight to the chart or valuation. - Using jargon instead of plain language. - Assuming they understand the business when they only recognize the product name.
Investor perspective: Peter Lynch said investors should find out what the company behind the stock is actually doing. This framework turns that advice into a repeatable process.
Connects to: Feeds directly into Bull vs Bear + Moat Analysis and the rest of the framework sequence.
In short: Build the strongest case for the stock and the strongest case against it — with equal effort — then test whether the company has a durable competitive advantage protecting it.
Most people naturally focus on reasons a stock might go up. This framework trains you to take the opposite view just as seriously, which is one of the biggest differences between average and better analysis.
Questions it answers: - What is the strongest case for why this stock could do well? - What is the strongest case for why this stock could do poorly? - Does the company have a real competitive advantage? - How durable is that advantage? - Is the bull case stronger and more realistic than the bear case?
How to use it, step by step: 1. Write the bull case first. Ask: "What is the best realistic version of the future for this company?" List the main positive drivers in plain language. 2. Write the bear case with equal effort. Ask: "What is the most serious realistic downside?" Don't soft-pedal the risks — treat this with the same seriousness as the bull case. 3. Evaluate the moat. Does the company have something competitors find hard to copy? Is the advantage based on brand, cost, switching costs, network effects, or something else? How long is it likely to last? 4. Compare the two sides. Ask: "Which case looks more probable and more durable?" This comparison helps you avoid one-sided thinking. 5. Decide how much weight to give the analysis. A wide, durable moat strengthens the overall thesis; a weak or narrowing moat raises the risk level.
When to use it: After you understand the basic business (Full Company Breakdown) and before detailed valuation work.
Common mistakes beginners make: - Only writing the bull case and ignoring the risks. - Calling something a "moat" when it's really just a temporary advantage. - Assuming a strong brand automatically means a wide moat.
Investor perspective: Warren Buffett has said a truly great business must have an enduring moat that protects excellent returns on invested capital. This framework helps you test whether that kind of advantage actually exists.
Connects to: Sits between the company overview and the Fair Value Stress Test — a clear bull case, bear case, and moat view makes the valuation work more realistic.
In short: Don't estimate what a stock is worth once — estimate it three ways (optimistic, base case, pessimistic) to see how much margin of safety you actually have at today's price.
Many people look at a single valuation number, but markets rarely follow one exact path. Stress testing shows you what happens if things go better or worse than expected.
Questions it answers: - What is a reasonable estimate of the company's value in a normal scenario? - What happens to the value if growth or margins are stronger than expected? - What happens if growth or margins are weaker than expected? - How much of a discount (margin of safety) does the current price offer? - What has to go right for the stock to be a good investment at today's price?
How to use it, step by step: 1. Build a base-case valuation using reasonable growth rates, margins, and multiples. 2. Create an optimistic case by raising key assumptions in a believable way — not fantasy numbers. 3. Create a pessimistic case by lowering growth, margins, or multiples to reflect realistic downside. 4. Compare the current price to the range. Where does today's price sit relative to the base, bull, and bear values? 5. Decide what the valuation is telling you. A large margin of safety supports a stronger thesis; a price that only works in the optimistic case is riskier.
When to use it: After you understand the business and competitive position — valuation without context is often misleading.
Common mistakes beginners make: - Using only the most optimistic assumptions. - Relying on a single valuation method. - Ignoring how sensitive the value is to small changes in growth or margins.
Investor perspective: Benjamin Graham — Warren Buffett's mentor — taught the importance of a margin of safety: buying with enough cushion that mistakes or bad luck don't destroy capital. This framework puts that idea into practice.
Connects to: Turns the qualitative work from earlier frameworks into concrete numbers and prepares you for the Long-Term Investment Thesis.
In short: High reported profits don't always mean high-quality profits. This framework checks whether earnings are backed by real cash flow or propped up by aggressive accounting.
Accounting rules give companies some flexibility in how they report results. This framework helps you look past headline numbers to the economic reality underneath.
Questions it answers: - Are the reported earnings backed by real cash flow? - Are there large or growing gaps between earnings and cash generation? - Is the company using aggressive accounting choices? - How consistent have earnings been over time? - Can I trust these numbers for valuation purposes?
How to use it, step by step: 1. Compare earnings to cash flow. Is the company converting reported profits into actual cash? Look at operating cash flow relative to net income. 2. Check for red flags — unusual items, large accruals, or aggressive revenue recognition that can make earnings look better than the underlying business. 3. Review consistency over time. Stable, predictable earnings are generally higher quality than earnings that jump around. 4. Decide how much weight to give the numbers. High quality means you can rely more on the earnings for valuation; low quality calls for more caution.
When to use it: Whenever earnings look strong on the surface, or when a stock is priced for continued high growth.
Common mistakes beginners make: - Taking reported earnings per share at face value. - Ignoring the difference between earnings and cash flow. - Focusing only on the most recent quarter instead of multi-year patterns.
Investor perspective: Warren Buffett has pointed to a high return on equity capital, achieved without undue leverage or accounting gimmicks, as the real test of managerial performance. This framework helps you check for those gimmicks.
Connects to: Protects the Fair Value Stress Test and the overall thesis from relying on low-quality earnings numbers.
In short: A clear, written summary of why you believe a stock is worth owning for several years — including the specific conditions that would prove you wrong.
Without a clear thesis, it's easy to react emotionally to short-term price moves. A written long-term thesis helps you stay focused on the bigger picture and decide whether temporary drops are opportunities or warning signs.
Questions it answers: - Why do I believe this company can grow or create value over the next 3–5 years or longer? - What are the 3–5 strongest reasons supporting this view? - What would have to change for this thesis to be wrong? - How does the current valuation fit with the long-term story? - Am I willing to hold through normal market ups and downs?
How to use it, step by step: 1. Summarize the core idea in one or two clear sentences — why you want to own this stock for the long term, in simple language. 2. List the key supporting points. Focus on business quality, competitive advantages, growth drivers, and management. 3. Identify the main risks and invalidators. What specific events or changes would make this thesis no longer valid? Being honest here strengthens the analysis. 4. Check the valuation fit. Does the current price give you a reasonable chance of a good long-term return if the thesis plays out? 5. Write a short monitoring plan. What will you watch over time to see if the thesis is still on track?
When to use it: Near the end of your research, after you have examined the business, risks, and valuation.
Common mistakes beginners make: - Writing a thesis that is too vague or too optimistic. - Failing to define what would prove the thesis wrong. - Changing the thesis every time the stock price moves.
Investor perspective: Warren Buffett has long emphasized owning wonderful businesses for the long term when the price is reasonable. A clear written thesis helps you follow that approach with discipline.
Connects to: Serves as the final synthesis that draws on Portfolio Risk & Fit, Catalyst Calendar, Management Quality Scorecard, and the other analyses.
In short: Even a great stock can become a problem if it makes your portfolio too concentrated or too exposed to one type of risk. This framework checks the whole picture, not just one idea at a time.
Questions it answers: - How much of my portfolio would this stock represent? - Does this stock move in a similar way to things I already own? - Does it increase or decrease my overall risk level? - Does it fill a gap in my portfolio or add more of the same exposure? - What position size makes sense given my risk tolerance?
How to use it, step by step: 1. Measure current concentration. How much of your portfolio is already in this sector, industry, or style of stock? 2. Check correlation and overlap. Does this stock tend to rise and fall with your existing holdings? 3. Evaluate the impact on overall risk. Would adding this stock make your portfolio meaningfully riskier or more balanced? 4. Decide on appropriate position size given your risk tolerance and existing holdings. 5. Reassess after adding. Does the new overall portfolio still match your goals and risk limits?
When to use it: After you have a strong individual stock thesis and before you actually buy.
Common mistakes beginners make: - Buying a stock they like without considering how it fits the rest of the portfolio. - Letting one or two positions become too large. - Ignoring how similar their holdings already are.
Investor perspective: Ray Dalio and many professional investors stress the importance of diversification and understanding how positions interact. Portfolio Risk & Fit puts that principle into practice at the individual stock level.
Connects to: Acts as a final filter after the Long-Term Investment Thesis and risk-related analyses.
In short: Most improvement in investing comes from learning from your own experience. This framework turns your trade history into actionable lessons instead of just a spreadsheet.
Questions it answers: - What types of decisions have made me the most money? - What types of decisions have lost me the most money? - Do I tend to sell winners too early or hold losers too long? - Am I following my process or acting on emotion? - What specific habits should I change?
How to use it, step by step: 1. Gather a meaningful sample of past trades or investment decisions — enough to see real patterns. 2. Categorize the outcomes. Which decisions worked well and which did not? 3. Look for behavioral patterns — the same mistakes repeating (chasing hot stocks, ignoring risk, selling too soon). 4. Identify process strengths. What parts of your approach consistently lead to better results? 5. Create specific improvement actions. One or two concrete changes based on this review.
When to use it: Regularly (monthly or quarterly) and after any significant winning or losing period.
Common mistakes beginners make: - Not keeping a journal at all. - Only reviewing big wins or big losses. - Failing to turn insights into specific rule changes.
Investor perspective: Many successful investors and traders treat a detailed journal and honest review as essential tools for long-term improvement. The goal is continuous learning from your own decisions.
Connects to: Improves the quality of every future Long-Term Investment Thesis and Portfolio Risk decision by refining your personal process.
In short: Insiders know more about the company than outside investors. This framework helps you interpret their buying and selling carefully — separating real signals from routine transactions.
Questions it answers: - Are insiders buying or selling shares? - Are the transactions large relative to their existing holdings? - Is the activity clustered among multiple insiders or limited to one person? - Does the timing align with recent company news or results? - How should this information affect my overall view?
How to use it, step by step: 1. Review recent Form 4 filings for open-market purchases and sales. 2. Focus on meaningful size — transactions large enough to matter relative to the insider's total ownership. 3. Look for clusters of activity. Multiple insiders buying or selling around the same time carries more weight. 4. Put the activity in context. Does it make sense given recent company developments? 5. Use it as one input only. Does this information support, challenge, or leave unchanged your existing thesis?
When to use it: As part of ongoing monitoring and whenever you see notable insider transactions reported.
Common mistakes beginners make: - Treating every insider sale as a major red flag (many sales are for personal financial reasons). - Ignoring the size of the transaction relative to the insider's holdings. - Using insider activity as the primary reason to buy or sell.
Investor perspective: Many professional investors watch insider buying closely because open-market purchases with personal money can signal genuine confidence. Context and size still matter.
Connects to: Provides supporting evidence for the Management Quality Scorecard and the Long-Term Investment Thesis.
In short: Many stock moves happen around specific events. Knowing what's coming helps you avoid surprises and decide whether to hold through an event or adjust your position beforehand.
Questions it answers: - What important events are scheduled for this company in the coming weeks or months? - Which events have the highest potential to move the stock? - How likely is each catalyst to be positive or negative? - Do I want to hold through these events or reduce risk beforehand? - Are there clusters of catalysts that could create higher volatility?
How to use it, step by step: 1. List known upcoming events — earnings dates, product announcements, FDA decisions, conferences, and other relevant items. 2. Rank by potential impact. Which events could move the stock the most? 3. Assess the likely direction based on current information — positive, negative, or uncertain. 4. Decide your approach. Full exposure through high-uncertainty events, or reduce size ahead of time? 5. Update the calendar regularly as new catalysts appear or dates change.
When to use it: As part of ongoing monitoring and especially before earnings or major company events.
Common mistakes beginners make: - Ignoring upcoming catalysts entirely. - Assuming every catalyst will be positive. - Holding large positions through high-uncertainty events without a plan.
Investor perspective: Professional investors often map catalysts carefully so they are not surprised by volatility. Timing and preparation matter even when the long-term thesis remains intact.
Connects to: Supports the Long-Term Investment Thesis by helping you manage shorter-term event risk and timing.
In short: Options activity can sometimes reveal where informed or aggressive capital is placing bets. It's not a crystal ball, but it can provide useful context when interpreted carefully.
Questions it answers: - Is there unusual call or put volume in this stock? - Are large trades appearing that stand out from normal activity? - Is the activity concentrated in near-term or longer-dated options? - Does the options flow suggest bullish, bearish, or hedging behavior? - How should this information affect my existing view?
How to use it, step by step: 1. Identify unusual activity. Is options volume significantly higher than normal? 2. Look at call versus put bias. Is the unusual activity more heavily on one side? 3. Check expiration and strike selection. Near-term focus or longer-dated contracts? 4. Consider the context. Does this activity align with recent news, earnings, or other catalysts? 5. Use it as supporting information only. Does this flow support, challenge, or leave your fundamental thesis unchanged?
When to use it: When you notice unusual options volume or as part of monitoring higher-profile stocks.
Common mistakes beginners make: - Treating every large options trade as a strong directional signal. - Ignoring that much options activity is hedging rather than outright speculation. - Letting short-term options flow override a solid long-term thesis.
Investor perspective: Many professional traders watch options flow for clues about positioning, but the best investors still ground their decisions in business fundamentals and valuation.
Connects to: Provides short-term context for the Catalyst Calendar and helps refine timing around the Long-Term Investment Thesis.
In short: A company can look strong in isolation. Comparing its moat directly to competitors reveals whether its advantages are truly superior or just average for the industry.
Questions it answers: - How does this company's competitive advantage compare to its peers? - Which competitor has the widest or most durable moat? - Are the sources of advantage similar or different across the group? - Is this company's moat widening, stable, or narrowing relative to rivals? - Does the relative moat strength support a premium or discount valuation?
How to use it, step by step: 1. Select the most relevant competitors — the true rivals for customers and market share. 2. Compare sources of advantage — brand, cost, switching costs, network effects, or something else. 3. Assess relative durability. Whose advantages look hardest for others to copy or erode? 4. Look at trends. Is any company gaining or losing ground in its competitive position? 5. Connect to valuation. Does the relative moat strength justify how the stocks are priced against each other?
When to use it: Alongside the Long-Term Investment Thesis and whenever you're choosing between similar companies in the same industry.
Common mistakes beginners make: - Comparing a company only to itself instead of to real competitors. - Assuming a larger company automatically has a wider moat. - Treating temporary advantages as permanent ones.
Investor perspective: Warren Buffett has long focused on the durability of competitive advantage. Comparing moats across competitors makes that assessment more rigorous.
Connects to: Strengthens both the Long-Term Investment Thesis and any relative valuation work.
In short: Management decisions compound over time. Strong operators can create significant value; weak or misaligned leadership can destroy it even in a decent business. This framework grades the people running the company.
Questions it answers: - How skillfully has management allocated capital in the past? - Do executives communicate clearly and candidly? - Are incentives aligned with long-term shareholder value? - Have past major decisions created or destroyed value? - How would I rate this team overall?
How to use it, step by step: 1. Review capital allocation history — what they've done with free cash flow (reinvest, acquire, repurchase, or pay dividends). 2. Evaluate communication quality. Do they explain results and strategy in plain language, or rely on jargon and spin? 3. Check alignment. Do insiders own meaningful stock, and are compensation structures reasonable? 4. Score the key dimensions — capital allocation, candor, and alignment on a simple scale. 5. Reach an overall judgment. Does the quality of management increase or decrease your confidence in the long-term thesis?
When to use it: On every company, especially those where management has significant influence over outcomes.
Common mistakes beginners make: - Judging management mainly by charisma or media presence. - Ignoring past capital allocation mistakes. - Overlooking incentive structures.
Investor perspective: Warren Buffett has repeatedly said that even a great manager cannot fix a fundamentally poor business, but strong management in a good business is a powerful combination.
Connects to: Directly supports the Long-Term Investment Thesis and interacts with Insider Activity analysis.
In short: Some businesses are highly exposed to the economic cycle or specific macro variables. Understanding that sensitivity helps you anticipate how the stock might behave in different environments.
Questions it answers: - How much does this company's performance depend on the overall economy? - Is the business sensitive to interest rates, inflation, or currency moves? - Would a recession likely hurt this company a little or a lot? - Are there macro factors that could act as strong tailwinds or headwinds? - How does this sensitivity affect the risk of the investment?
How to use it, step by step: 1. Identify key macro drivers. Which broad economic factors have the biggest impact on this business? 2. Assess the degree of sensitivity. Is this company highly cyclical, moderately sensitive, or relatively defensive? 3. Consider different scenarios. How would the business likely perform in a strong economy versus a recession? 4. Connect to portfolio risk. Does this macro sensitivity increase or diversify the risks already in your portfolio? 5. Factor it into position sizing. Given the macro exposure, does the position size still feel appropriate?
When to use it: Especially for cyclical companies, financials, industrials, and any stock with clear economic sensitivity.
Common mistakes beginners make: - Ignoring macro exposure entirely. - Assuming every company is equally sensitive to the economy. - Failing to consider how macro risks interact with other holdings.
Investor perspective: Howard Marks and other experienced investors emphasize understanding the environment and how different businesses respond to it. Macro Sensitivity Analysis makes that understanding more explicit.
Connects to: Feeds into both Portfolio Risk & Fit and the overall Long-Term Investment Thesis.
In short: Not all revenue is equal. High-quality revenue tends to be more predictable and resilient. Lower-quality revenue can disappear quickly when conditions change. This framework breaks down revenue to assess how durable it really is.
Questions it answers: - How much of the revenue is recurring versus one-time? - Is revenue concentrated in a few large customers? - Does the company have pricing power? - What is driving revenue growth — volume, price, or mix? - How durable does the revenue base appear?
How to use it, step by step: 1. Break down revenue sources. Where does the money actually come from? 2. Assess recurring versus transactional revenue. How much repeats reliably each period? 3. Check customer concentration. Would losing one or two large customers significantly hurt results? 4. Evaluate pricing power and growth drivers. Can the company raise prices, and is growth coming from healthy sources? 5. Form a quality judgment. Overall, how high-quality and sustainable does this revenue stream look?
When to use it: Whenever revenue growth looks strong on the surface or when customer concentration might be a risk.
Common mistakes beginners make: - Focusing only on the growth rate and ignoring revenue quality. - Overlooking customer concentration risk. - Treating all revenue as equally durable.
Investor perspective: High-quality, recurring revenue streams are generally valued more highly by sophisticated investors because they are more predictable and resilient.
Connects to: Supports both the Long-Term Investment Thesis and any assessment of earnings sustainability.
In short: Short squeezes can produce sharp, fast price moves. Understanding the conditions that make a squeeze more likely helps you recognize both opportunity and risk — without the hype.
Questions it answers: - How high is short interest relative to the share float? - How many days would it take for short sellers to cover at average volume? - Is there a catalyst that could force short sellers to reassess? - Are there signs of increasing pressure on short positions? - How should this factor into my overall risk and position sizing?
How to use it, step by step: 1. Check short interest levels. What percentage of the float is currently sold short? 2. Calculate days-to-cover at recent average volume. 3. Look for potential triggers. Is there an upcoming catalyst that could force short sellers to cover? 4. Assess the overall setup. Do the conditions make a meaningful short squeeze more or less likely? 5. Decide how to treat the information. Does this increase the upside potential, the downside risk, or both?
When to use it: Primarily on stocks with elevated short interest.
Common mistakes beginners make: - Assuming high short interest automatically means a squeeze is coming. - Ignoring the fundamental picture and focusing only on short interest. - Sizing positions too aggressively around a possible squeeze.
Investor perspective: Short interest data is widely watched, but sustainable gains still depend on the underlying business. A squeeze can create a sharp move; lasting value requires more.
Connects to: Most useful as a secondary overlay on the Catalyst Calendar and overall risk assessment.
How many research frameworks does AlphaLens use? AlphaLens runs stock research through 15 structured frameworks, starting with the Full Company Breakdown and ending with the Short Squeeze Probability assessment.
What order should I use the AlphaLens frameworks in? Start with the Full Company Breakdown to understand the business, move through moat analysis, valuation, and earnings quality, then build your Long-Term Investment Thesis. Use the remaining frameworks — Portfolio Risk & Fit, Trading Journal Audit, Insider Activity, Catalyst Calendar, Options Flow, Competitor Moat Comparison, Management Quality, Macro Sensitivity, Revenue Quality, and Short Squeeze Probability — to stress-test and refine your thesis.
Which framework should a beginner start with? The Full Company Breakdown. It's the foundation every other framework builds on — understanding what a company does and how it makes money before looking at price or valuation.
Do I need to run all 15 frameworks on every stock? No. The core sequence — Company Breakdown, Moat Analysis, Valuation, Earnings Quality, and Long-Term Investment Thesis — covers most decisions. The other frameworks add depth for specific situations, like stocks with high short interest or major upcoming catalysts.
Can I run all 15 frameworks at once? Yes — the Run All feature applies all 15 frameworks to a single ticker in one pass, so you get the complete picture without running each one manually.
What's the difference between fundamental and trading-oriented frameworks? Fundamental frameworks (like Company Breakdown, Moat Analysis, and Valuation) evaluate the business itself. Trading-oriented frameworks (like Options Flow Analyzer, Catalyst Calendar, and Short Squeeze Probability) look at market positioning and timing. Both matter — fundamentals tell you what to own, trading context helps you manage when and how.
Why does the guide separate the bull case and bear case? Because most investors naturally build a stronger case for why a stock will go up than for why it might go down. Writing both with equal effort, as the Bull vs Bear + Moat Analysis framework requires, produces a more balanced view.
What is a "moat" in stock analysis? A moat is a durable competitive advantage — something rivals find hard to copy, based on brand, cost structure, switching costs, network effects, or similar factors — that protects a company's profits over time.
Why does earnings quality matter if a company is already profitable? Because reported profits aren't always backed by real cash generation. The Earnings Quality Analyzer checks whether earnings are sustainable or inflated by aggressive accounting choices.
What is a margin of safety, and why does the Fair Value Stress Test use it? A margin of safety is the cushion between what a stock is worth and what you pay for it. The Fair Value Stress Test estimates value under optimistic, base, and pessimistic scenarios to show how much cushion — or risk — exists at today's price.
What is the difference between the Long-Term Investment Thesis and the other frameworks? The Long-Term Investment Thesis is the final synthesis — it pulls together findings from all the other frameworks into a clear, written statement of why you do or don't want to own the stock, including what would prove you wrong.
How does Portfolio Risk & Fit help with position sizing? It checks how a new stock fits into your existing portfolio — concentration, correlation, and overall balance — so that even a strong thesis doesn't create an outsized risk at the portfolio level.
How do I pick the best stocks?
Start with the Full Company Breakdown to understand the business, run it through Bull vs Bear + Moat Analysis to test both sides of the case, check the valuation with the Fair Value Stress Test, and build a Long-Term Investment Thesis that includes what would prove you wrong. That sequence covers the same ground a professional analyst covers before buying.
How do I start investing in stocks as a beginner?
Learn to research one company thoroughly before putting money in. AlphaLens walks you through 15 structured frameworks — starting with understanding what a company does, then evaluating its competitive advantage, valuation, earnings quality, and risk. The frameworks turn "where do I even start" into a repeatable process.
How much should I invest when I start?
The Portfolio Risk & Fit framework helps with this — it analyzes position sizing based on your risk tolerance, existing holdings, and how concentrated you'd become. The answer is different for every investor, which is why a structured framework beats a generic rule of thumb.
Is now a good time to invest?
The Fair Value Stress Test answers this for any specific stock by estimating value under optimistic, base, and pessimistic scenarios. If the current price offers a margin of safety in the base case, the timing is more favorable. The Catalyst Calendar adds context by mapping upcoming events that could move the price.
What is the safest investment?
No stock is risk-free. The Risk Assessment frameworks help you understand which risks matter most and whether you're being compensated for taking them. The Portfolio Risk & Fit framework helps you size positions so that no single investment can do serious damage to your overall portfolio.
Should I invest in individual stocks or funds?
Individual stocks require real research — that's what these 15 frameworks provide. If you're willing to do the work, individual stocks give you control over exactly what you own. If not, index funds or ETFs are a reasonable alternative. The Portfolio Risk & Fit framework helps you understand whether your individual stock picks are actually giving you diversification or just concentrating risk.
How does the stock market work?
At the simplest level, stocks represent partial ownership of a business. The Full Company Breakdown framework starts here — understanding what the company does and how it makes money — before moving to price and valuation. The market sets a price based on supply and demand; the frameworks help you judge whether that price makes sense.
How do I diversify my investments?
The Portfolio Risk & Fit framework directly addresses this — it checks correlation between your holdings, measures concentration by sector and style, and recommends position sizing that keeps your portfolio balanced. Diversification isn't just owning many stocks; it's owning stocks that don't all move the same way at the same time.
What is the best long-term investment?
The Long-Term Investment Thesis framework helps you answer this for any specific stock. It builds a 3–5 year case based on business quality, competitive advantage, growth drivers, and management — then explicitly defines what would make that thesis wrong, so you can monitor it over time.
How do I know if a stock is overvalued or undervalued?
The Fair Value Stress Test estimates what a stock is worth under three scenarios (optimistic, base, pessimistic) and compares the result to today's price. If the price is below the base-case value, there may be a margin of safety. If it only works under optimistic assumptions, the stock may be overvalued.
Short-form versions of each framework, ready for pull-quotes, social captions, and page meta description tags.
| Framework | Quotable line |
|---|---|
| Full Company Breakdown | "Before you look at the stock price, understand the business." |
| Bull vs Bear + Moat | "Build the strongest case for the stock and the strongest case against it — with equal effort." |
| Fair Value Stress Test | "Don't estimate what a stock is worth once — estimate it three ways." |
| Earnings Quality Analyzer | "High reported profits don't always mean high-quality profits." |
| Long-Term Investment Thesis | "Without a clear thesis, it's easy to react emotionally to short-term price moves." |
| Portfolio Risk & Fit | "Even a great stock can become a problem if it makes your portfolio too concentrated." |
| Trading Journal Audit | "Most improvement in investing comes from learning from your own experience." |
| Insider Activity Analyzer | "Insiders know more about the company than outside investors." |
| Catalyst Calendar | "Many stock moves happen around specific events. Knowing what's coming helps you avoid surprises." |
| Options Flow Analyzer | "Options activity can reveal where informed capital is placing bets — but it's not a crystal ball." |
| Competitor Moat Comparison | "A company can look strong in isolation. Comparing its moat to competitors reveals the truth." |
| Management Quality Scorecard | "Management decisions compound over time. Strong operators create value; weak ones destroy it." |
| Macro Sensitivity Analysis | "Some businesses are highly exposed to the economic cycle. Understanding that sensitivity matters." |
| Revenue Quality Decomposer | "Not all revenue is equal. High-quality revenue is predictable and resilient." |
| Short Squeeze Probability | "A squeeze can create a sharp move. Lasting value requires more." |