Find the gap.
Time the trade.
Execute clean.
A practical course on the framework I use to find mispriced businesses and capture them with options. Built from real trades. No prior finance background required.
What is Flow Value Investing
Most retail investors lose on options because their thesis is right but their execution is sloppy. Most fundamental investors lose returns because they buy at the wrong time. Flow Value Investing fuses both: deep fundamental analysis to find the gap between price and value, careful timing to enter on a healthy setup, and options spreads to capture it with capped, defined risk.
The framework in five steps
The framework runs left to right. Each step has its own job and a clear gate before moving to the next. Skip a step and the trade goes wrong. Do them in order and you compound a real edge.
Market & Industry
What is the business, where does it sit in the value chain, who matters.
Fundamentals
Pick the right metrics for the business type. Compare with peers honestly.
Valuation
Multiples, sum of the parts, implied perpetual growth. Cross-check.
Timing
Momentum, sentiment, insider activity. Is the window open?
Options
Pick the right spread. Check liquidity, IV, delta. Execute clean.
Why this combination
A value gap is the distance between what a business is worth and what the market is pricing. A positive gap means the business is cheap. A negative gap means it's expensive. Either way, the gap is the edge.
Buying or shorting the share captures the gap, but it ties up capital and exposes you to the full downside. Options spreads let you express the same view with a fraction of the capital and a maximum loss you set in advance. The two ideas reinforce each other. The fundamental work gives you conviction. The options structure gives you discipline.
Skin in the game. No hype. Clean execution. Flow in Practice
How to use this course
Each chapter teaches one step of the framework and shows how I applied it on a real trade. The interactive elements let you play with the numbers yourself. Audio narration runs alongside the key concepts and case studies. You can move through it in one sitting or pause and come back.
Where does the value sit?
Before any numbers, understand the business. What does it sell, to whom, where, and how. Then map the value chain it operates in. Value chains tell you who has pricing power, who's a price taker, and where the structural margins live.
Ten questions to anchor
Start every new name with these. If you can't answer them after thirty minutes of reading the 10-K and annual report, the business is unfamiliar enough that you should slow down.
What & to whom
Value proposition, customer segments, distribution channels. The basics.
Demand drivers
What macro or sector forces drive demand for these products and services.
Value chain map
All the steps from raw input to end customer. Where is value created and captured.
Market size
Addressable market and top players. A Marimekko chart shows it cleanly.
Disruption risk
Technologies or business models that could reshape the market in three to five years.
Main competitors
Who they are and how similar or different their operations look.
Product differentiation
What does the company sell that competitors can't easily replicate.
Growth vs market
Faster or slower than the underlying market. Direction matters more than the absolute number.
Moat type
Brand, network, switching cost, scale, regulatory. Real or aspirational.
Trend in moat
Strengthening, stable, or eroding. A weakening moat is a hidden bear thesis.
The value chain, made concrete
A value chain is just the sequence of steps that turn raw inputs into a finished product sitting in a customer's hands. Each step adds value. Each step captures some of it as profit. The split between steps is rarely equal.
Some steps are commoditised and capture almost nothing. Others are bottlenecks where one or two players sit on most of the profit pool. If you know where the bottleneck is, you know where the durable margins live.
Case study: the semiconductor value chain
Semiconductors are a textbook case. Six broad steps. Hover or tap each step to see who plays there, what they do, and roughly how much of the industry's value pool the step captures.
Design / IP
EDA Tools
Equipment
Materials
Foundry / Fab
Assembly & Test
Design & IP
The architecture of the chip itself. Fabless designers and IP licensors. Very high gross margins, capital-light, but require enormous R&D spend and engineering talent. ARM licenses an instruction set used by billions of devices. Nvidia designs GPUs that TSMC manufactures.
Numbers are illustrative for teaching. Real value capture shifts year to year depending on cycle position, supply tightness, and tech transitions. The point is the shape, not the precision: design and fabrication dominate, with equipment as a structural bottleneck because only a handful of firms (ASML, Applied Materials, Lam, TEL, KLA) can supply the tools needed to manufacture at the leading edge.
What this tells you about a name
If a semiconductor name sits in foundry (TSMC), you're underwriting capacity, cycle position and yield ramps. If it sits in equipment (ASML), you're underwriting an oligopoly with extreme switching costs. If it sits in fabless design (Nvidia, AMD), you're underwriting product cycles, talent and competitive position.
The fundamentals you watch and the multiples that matter change completely depending on where in the chain the business sits. That's the lesson from this step. Get the position right before anything else.
Pick the right metrics
Most retail mistakes start here. Investors apply the same metrics to every business they look at. A capital-intensive industrial doesn't get measured the same way as a software firm or a project-based contractor. Use the wrong metric and you'll get the wrong answer with confidence.
Trends matter more than levels
Look at the past three to five years across two simple lines: organic vs inorganic growth (acquisitions can mask weak underlying demand), and gross and operating margins. A company growing the top line via acquisitions while margins drift down is telling you something the headline doesn't.
Different businesses, different metrics
Does it create or destroy value?
Check ROIC vs WACC. If ROIC > WACC, every dollar invested earns more than it cost. Compare with competitors. Big ROIC gaps explain big valuation gaps.
Retention is the engine
Net Revenue Retention, churn, CAC, LTV, Rule of 40 (growth + margin ≥ 40%). Revenue growth alone misleads if churn is high.
Compare project economics
Fiscal-year numbers obscure project-level performance. If the firm discloses it, compare on project margins and backlog quality.
The one-dollar test (ROIC vs WACC)
A business creates value when each dollar it invests becomes worth more than a dollar. That's the test. Two metrics make it concrete:
- ROIC (return on invested capital) is what the business actually earns on the capital it has put to work.
- WACC (weighted average cost of capital) is what that capital costs, blending debt and equity.
When ROIC is above WACC, the business creates value as it grows. When they're equal, growth adds nothing. When ROIC is below WACC, growth actually destroys value. The treadmill analogy is useful: you can speed it up, but if it's pointed the wrong way, you're going backwards faster.
Three businesses, same $10,000 invested
Each invests $10,000. Cost of capital is 8%. The cash flow they generate determines what that investment is actually worth.
ROIC = 5%, below the 8% cost of capital. Each dollar of investment becomes worth 62.5 cents.
ROIC = 8%, exactly the cost of capital. Growth adds nothing here. The treadmill is on, going nowhere.
ROIC = 11%, above the 8% cost of capital. The faster this business grows, the more value it builds.
This is the single most important fundamental check for a capital-intensive business. A high-ROIC, growing business is a compounding machine. A low-ROIC business growing fast is destroying capital while the headline still looks impressive.
Watch for distortions
Reported numbers can lie temporarily. Strip out currency translation effects (especially relevant for European firms reporting in USD), one-off restructuring charges, lawsuit settlements, and large M&A. For example ON Holdings in 2025 is a good example: It reported net income fell year on year despite 30% revenue growth, almost entirely because of a CHF 173m FX revaluation loss.
The right price is what you'll pay for it
There is no mathematically correct price for a business. In 15 years as an investment banker I saw the same asset attract bids ranging from one times to ten times what others offered. Absolute valuation is a difficult exercise. Relative valuation, cross-checked with two or three other techniques, is what reveals the gap.
Three lenses, one decision
I use three lenses together. Each one catches a different kind of mispricing.
Valuation multiples
How does the price compare with similar businesses today. Pick the right multiple for the industry. Never rely on just one.
Sum of the parts
Value each segment of a multi-business firm against its own peer group. Reveals hidden value or hidden weakness.
Implied perpetual growth
Reverse the DCF. Ask what growth rate the current price assumes. Compare it with what the business actually delivers.
Lens 01 · Valuation multiples
Multiples are the most common comparison tool because they collapse a lot of information into a single number. The trap is picking the wrong one. P/E is the default and works for most consumer and industrial businesses. It breaks down for real estate, mining, or asset-heavy financials where the asset base matters more than current earnings. There you want price-to-book or price-to-cash-flow.
Always use at least two. P/E plus EV/EBITDA. Or P/B plus dividend yield. A divergence between two multiples is itself a signal worth investigating.
Lens 02 · Sum of the parts
Very few businesses are pure plays. Most operate in several markets with different competitors and different economics. Companies disclose this in the segment notes of their 10-K (they aren't obliged to, but most do). When the segments look very different from each other, valuing the whole company against a single peer group creates a distortion.
Sum of the parts fixes that. You value each segment against its own appropriate peer group, then add them up. It's the technique activist funds use to argue for spin-offs, because the parts often add up to more than the whole.
Two businesses, one wrapper
DELL reports two segments. CSG (Client Solutions Group) is the consumer side: personal computers, accessories, low growth, low margin. Its closest peer is HP. ISG (Infrastructure Solutions Group) is the B2B side: servers, storage, networking, growing fast on the back of AI data centre build-out, with healthier margins. Its peers are enterprise infrastructure players like Cisco, IBM, NetApp.
The market values DELL as a single block, which means the high-margin ISG business is dragged down by the lower-quality CSG comp. Valuing each segment against its own peer group tells a different story.
Reading left to right: ISG segment alone would be worth $125bn against enterprise infrastructure peers. CSG segment alone adds $28bn. Together: $153bn implied enterprise value. The current market values DELL at $96bn. The $57bn gap is the premium the market is missing by valuing both segments under one multiple.
The mechanics behind the chart: DELL trades at roughly 8.8x EV/EBITDA on a consolidated basis. The enterprise infrastructure peer median is around 11.5x. HP trades closer to 6x. Applying segment-appropriate multiples to ISG and CSG separately gives a fair enterprise value 58% above where DELL trades. Convert that back to share price and you get $205 versus the market's $117.
This is the kind of structural mispricing that activist funds chase, and one of three valuation arguments that supported the bullish DELL thesis in early 2026.
Lens 03 · Implied perpetual growth rate
A standard DCF projects every line item out for ten years, picks a terminal growth rate, and spits out a price. It's a precise-looking exercise built on dozens of guesses. I don't use it that way.
The better use of cash flow modelling is to reverse it. Start from the price the market is currently paying. Hold the cost of capital constant. Solve for the perpetual growth rate that justifies that price. That single number tells you what the market is implicitly assuming about the future.
Enterprise Value = NOPAT × (1 + g) / (WACC − g)
Gordon growth model · solving for g gives the market's implied perpetual growth rate
Once you have g, compare it with reality. If the implied growth rate is below long-term GDP growth (3 to 4%) and the business is healthy and growing at least at the industry rate, that's a strong positive value gap. If the implied rate is well above what any business has sustained in perpetuity, that's a strong negative gap.
What growth is ON's price assuming?
At $38 per share, ONON traded at an enterprise value of roughly $13.1bn. The business generated about $409m of NOPAT (operating profit after tax) in FY2025. Apply a 10% cost of capital. Solve the Gordon growth formula for g.
The answer comes out at around 6.7%. That's the perpetual growth rate the market is pricing in. Roughly three percentage points above nominal GDP. Demanding for any business, but not blue-sky. It implies the market is applying a moderate discount for execution risk rather than betting on a flawless scaling story.
Read the gauge like this. Below 3%, the market is pricing growth slower than the economy, which for a healthy growing business signals a strong positive gap. Between 3% and 6% is fair territory for most quality compounders. Above 6%, the price is leaning on aggressive assumptions and the business has to deliver to hold its multiple. Above 9%, you're in pure-narrative pricing.
The lens is most useful when you cross-check it. ONON's reverse DCF at 6.7% matches what its peer-multiple analysis suggests (slightly cheap on growth-adjusted P/E). Two independent lenses agreeing gives you confidence. Two lenses disagreeing is itself useful — it tells you to dig deeper before committing.
The gap is half the trade
Finding the gap is necessary but not sufficient. Options have an expiry date. A great thesis at the wrong moment is a losing trade. Three timing indicators help me decide whether the window is open.
Momentum
Is the stock setting up or rolling over? Three indicators I track:
- RSI — overbought above 70, oversold below 30
- Stock vs 50DMA — % distance from the 50-day moving average
- 5-day momentum — short-term direction
Sentiment
What is the market actually thinking about this name right now?
- X / social — Grok summaries of recent chatter
- Analyst ratings — direction of revisions matters more than the level
- IBKR sentiment — built-in tools in the trading platform
Insider trading
Management putting their own cash in is one of the cleanest signals there is.
- Insider buys — statistically meaningful for positive gaps
- Insider sells — noisy, often tax or diversification, less useful
- Buy cluster — multiple insiders buying in the same window is rare and powerful
No timing signals = no trade
The discipline here is the same as in the rest of the framework. If the gap is there but the timing signals are all negative, you don't force the trade. Options decay every day. Paying time premium for a trade that's not yet ready is one of the most common ways retail traders bleed capital.
Walking away costs nothing. The DELL case in the project files is a good example: the gap was clear, but options volatility was elevated ahead of earnings and bid-ask spreads had widened. I stood down and waited. Volatility eventually normalised and the entry became cleaner.
Capture the gap, cap the risk
Once the gap is identified and the timing signals are green, the final question is structure. The cleanest expression is a bi-directional spread: capped upside, capped downside, known maximum loss before you enter. Long call bull spreads for positive gaps, long put bear spreads for negative gaps. The trade is closed before expiry, so realised P&L is driven by the spread's mark-to-market value on the day you exit, not by where the stock sits at expiry.
Bull call spread (for positive value gaps)
You buy a call at a lower strike. You sell a call at a higher strike. Same expiry. The premium you pay on the lower call is partly offset by the premium you collect on the higher one. Net debit at entry equals your maximum theoretical loss. Spread width minus debit equals the maximum theoretical gain.
This is the trade I use for positive value gaps where I expect the stock to rerate toward fair value over the next two to three months.
We do not hold the spread to expiry. The plan is to exit when the thesis plays out, well before the options expire. Realised P&L is driven by the spread's mark-to-market value on the day you close the trade, not by where the stock sits at expiry.
The chart below shows the at-expiry payoff envelope. Think of it as the theoretical floor and ceiling. In practice, the trade is closed earlier, somewhere along the path between those bounds. Drag the strikes to see how the envelope changes.
Bear put spread (for negative value gaps)
Mirror image. You buy a put at a higher strike. You sell a put at a lower strike. Net debit is the maximum theoretical loss. Spread width minus debit is the maximum theoretical gain. This is how I express a negative value gap thesis, a business priced for perfection where the market has not yet adjusted to weaker fundamentals.
Same exit logic as the bull call spread. Close the trade on its mark-to-market value when the thesis plays out, not at expiry.
When to exit
Four exit triggers govern every spread. Whichever fires first ends the trade. The point is to take the trade off the table when one of these conditions is met, not to wait for expiry.
Target reached
The underlying hits your thesis target price. Close the spread at its mark-to-market value. This is the cleanest exit.
50% of max profit
The spread's mark-to-market value reaches roughly half of the theoretical max profit. Lock it in. The marginal reward for waiting is small relative to the risk.
Thesis breaks
The catalyst fails, the fundamentals shift, or the invalidation level prints. Close the trade regardless of P&L. Discipline beats hope.
10 to 15 days to expiry
Time decay accelerates sharply inside the final two weeks. Exit before that window, even at a partial loss. The position becomes too sensitive to short-term noise.
Three checks before clicking buy
Before placing any spread, three execution parameters need to pass. None of them are negotiable.
Open Interest
How many contracts are outstanding at this strike. Low open interest means low liquidity, wide bid-ask, and slippage on entry and exit. Aim for OI > 500 per leg.
Implied Volatility
IV is the market's expectation of how much the stock will move. High IV makes options expensive. Low IV makes them cheap. Buy spreads when IV Rank is low. Sell premium when it's high.
Net Delta
Delta is how much the spread moves for a $1 move in the underlying. Target 0.15 to 0.40 net delta for a balanced directional trade. Too low and you need a huge move to profit.
These three sit alongside a written thesis, a defined catalyst, an invalidation level, and a position size that caps your loss at no more than a few percent of trading capital. The execution guide in the FVI library goes through each in detail.
The framework, end to end
You now have the five steps. The point of the framework is that each step has a gate. You don't move to the next step until the current one passes. That's the discipline that turns a good thesis into a clean trade.
The framework recap
| Step | Job | Gate to clear |
|---|---|---|
| 01 · Market | Understand the business and its value chain position | You can explain in plain English what they sell, to whom, and why |
| 02 · Fundamentals | Pick the right metrics for the business type | ROIC > WACC (capital-intensive) or healthy retention/Rule of 40 (SaaS) |
| 03 · Valuation | Apply at least two of three lenses | At least two lenses agree on the direction of the gap |
| 04 · Timing | Read momentum, sentiment, insider activity | At least two of three signals support the entry |
| 05 · Options | Pick the right spread, check OI / IV / delta | All three execution checks pass and max loss is sized correctly |
Common pitfalls
- Skipping value chain analysis. If you don't know where in the chain the business sits, you'll pick the wrong peers and the wrong metrics.
- Relying on one valuation lens. Single-lens analysis catches one kind of mispricing. Three-lens analysis catches more and protects you from false positives.
- Trading before timing signals confirm. A great thesis at the wrong moment is a losing trade. Options decay every day.
- Forcing illiquid strikes. Low open interest means wide spreads. Wide spreads mean you give back 10%+ of the trade to market makers before the underlying moves.
- Sizing too big. No single trade should risk more than a few percent of trading capital. Sizing is what keeps you in the game across losing streaks.
Where to go from here
The case studies in the Flow Value Investing library work through the framework end to end on real names. DELL, ONON, DECK, CRWD, and others. Each one shows the gap analysis, the timing decision, and the options trade or the decision to stand down.
The Option Strategy Execution Guide goes deeper on the mechanics of strikes, expiry selection, IV regime adjustments, and the go/no-go checklist before placing the order.
Practice is the strategy. If you cannot do it consistently, it is not your strategy. Flow in Practice