Living On Your Edge
Sector Selection for Asymmetric Returns
Most investors lose money not because they’re bad at trading—but because they’re trading in markets where they might not belong.
You’ve been introduced to the mechanics from the previous posts:
the Wheel generates income,
LEAPS provide convexity,
stops protect capital.
You also got a taste of position sizing, Greeks, and risk management.
But there’s a question we haven’t addressed: Which stocks deserve your capital?
This is where many options strategies often suffer. Traders apply technically sound methods to fundamentally bad selections. They wheel penny stocks because the premium looks juicy. They buy LEAPS on hype cycles because everyone’s talking about it. They chase momentum in sectors they don’t understand.
The Wheel + LEAPS barbell isn’t a substitute for conviction. It’s an amplifier of conviction. And conviction without edge is just expensive hope.
This post is about developing real edge—the kind that comes from years in an industry, not from reading headlines. The kind that lets you see what others miss. The kind that makes the difference between getting lucky once and compounding for decades.
You are either a contrarian, or you are a victim - Rick Rule
What Edge Actually Means
Edge isn’t simply:
Reading more Bloomberg articles
Following “experts” on Twitter
Backtesting technical indicators
Having strong opinions loudly
Edge is:
Information asymmetry - You know something the market hasn’t priced in
Analytical asymmetry - You interpret public information better than consensus
Temporal asymmetry - You understand the timing of events before they’re obvious
Structural asymmetry - You see how systems interact when others see isolated events
Real edge is uncomfortable. If your thesis feels obvious and everyone agrees, you don’t have edge—you have confirmation bias.
My Solar Industry Edge: A Case Study
I spent 10 years in the solar industry. Not reading about it—working in it. Factory visits in Globally including China, India, Korea, The USA, Europe and Southeast Asia. Conversations with CTOs and heads of R&D about roadmaps. Negotiations on manufacturing equipment and timelines. Witnessing the technology transitions from multi-crystalline to PERC to TOPCon, and ground zero for “Made in China 2025”
How did all that exposure affect the way I see the world around me? I’ll give a few examples below and perhaps you can use it as input as you build equivalent edge in your own domains.
Edge Type 1: Understanding How IP Really Develops
What mainstream thinks: “Company X has patents, therefore they have a moat.”
What I learned: IP development follows cultural and economic logic that differs drastically by geography.
Western companies (US/Europe):
Pursue margin through differentiation
Patent defensively and offensively
License reluctantly, sue aggressively
Innovation = proprietary technology you can wall off
Chinese companies:
Pursue scale through process optimization (give beta product away for free just to get in the door. Then iterate like you will not believe possible)
Patent to meet KPIs, not for enforcement
Technology sharing within “guanxi” networks
Innovation = manufacturability at impossible cost points at unbelievable scale. During this process, new IP (at scale for scale) is generated.
Real-world example:
Western solar companies spent billions developing high-efficiency cell architectures (SunPower, First Solar, QCells). They protected IP fiercely. Chinese manufacturers reverse-engineered the concepts, filed their own patents around the edges, and scaled production so aggressively that they made the technology commoditized within 3 years.
The Western companies kept their “moat.” They also went bankrupt or got acquired at distressed prices.
The insight: In sectors with fast manufacturing learning curves, IP protection means less than production scale and supply chain control. You don’t want to own the company with the best patents—you want to own the one that can deliver at $0.10/watt when competitors are at $0.15/watt.
Trading implication: When everyone was bullish on SunPower’s technology moat in 2015, insiders knew that Chinese manufacturers would close the gap and avoided the stock despite premium valuations. When First Solar pivoted to CdTe thin-film (genuinely differentiated tech with trade secret protection), astute investors paid attention—that was a real moat that the chinese were not (yet) trying to get across.
Edge Type 2: Culture as Competitive Advantage
The framework:
Different cultures optimize for different variables, and this creates structural advantages in different industries and innovation phases.
Western approach:
Brand and margin focus
First-mover advantage valued
Innovation through disruption
Tolerance for spectacular failures
Capital rewards moonshots
Chinese approach:
Market share and cashflow focus
Fast-follower with scale advantages
Innovation through iteration and manufacturing excellence
Intolerance for public failure (massive failures are mitigated avoiding public fallout)
Capital rewards execution and scale
How this plays out:
Tesla vs BYD (EVs):
Tesla: Premium brand, software differentiation, FSD moonshot, 25%+ gross margins
BYD: Volume play, vertical integration, battery tech, <15% margins but 5x Tesla’s unit sales. Software for free.
Both are “winning,” but they’re playing different games. Tesla captures consumer surplus in wealthy markets. BYD captures volume globally and has lower cost structure.
The question isn’t “who wins?”—it’s “which game are you betting on?”
Solar example:
US/European companies: Focused on residential rooftop (premium, branded, high touch) Chinese companies: Focused on utility-scale (commodity, volume, low touch)
When utility-scale became 90% of global capacity additions, Chinese manufacturers won by default. Their cultural wiring was aligned to the actual market structure.
Trading implication:
I avoid investing in US solar manufacturers since utility-scale has become dominant. I focus on Chinese manufacturers with supply chain control (polysilicon producers, wafer manufacturers) and where I have insights into their philosophy and culture.
Culture isn’t destiny, but it’s a massive tailwind or headwind depending on market structure.
Edge Type 3: Identifying Real Bottlenecks
This is where edge becomes extremely valuable—and where many investors ignore.
Markets assume substitution happens quickly once there’s demand. “Markets work”. Reality is far messier.
Solar bottleneck: Silver
Most investors know solar uses silver. Few understand:
Silver paste in cells is ~4-12% of module cost depending on the silver price.
Reduction efforts have been ongoing for a decade
Substitutes (copper, aluminum) exist in theory, but have real life drawbacks.
In practice, efficiency loss from substitution outweighs cost savings
Manufacturing line retooling takes 18-24 months minimum
Quality control challenges with new materials are severe
What this meant:
When solar installations were projected to grow 30% annually from 2020-2025, I could calculate that silver demand from solar would become a meaningful percentage of total silver supply. The market wasn’t pricing this in because “substitution will happen.”
I knew from conversations with technical insiders and from conferences: substitution is hard. The technical path exists, but implementation at scale with quality assurance? That’s years away, not quarters.
Trading implication:
If one bought LEAPS on silver miners (SILJ, individual producers) in 2020-2021 when silver was languishing, your would have done well. Not because of monetary theories or inflation—because you’s know industrial demand was structurally understated. When silver ran from $18 to $30+, the LEAPS paid multiples. As of writing, Silver is now close to $70 per oz.
This is edge: seeing a bottleneck others dismiss as “solved” when you know it isn’t.
AI bottleneck: Electricity, not chips
This is my current high-conviction edge thesis.
Mainstream narrative: “AI is constrained by chip supply. Once NVIDIA delivers more H100s/B200s, we’re good.”
What I see: AI datacenters require massive amounts of electricity—far more than previous datacenter generations, and we will want as many of them as possible. Inference at scale requires similarly enormous power.
The problem:
US (and much of the western world’s) grid infrastructure is aged and capacity-constrained
New power plants (gas, nuclear) take 5-10 years to permit and build
Renewables are intermittent and don’t provide base load for 24/7 training runs
Grid interconnection queues are 3-5 years long in many regions
What this means: Companies with access to cheap, reliable, base-load power have structural advantages. Chips matter, but power is the actual bottleneck.
Where to find this edge:
Which countries/regions have excess power capacity?
Which companies own or have contracts for dedicated power?
Where is nuclear being built fastest?
Is copper maybe needed for said grid upgrades?
Which AI companies have vertically integrated power solutions?
Trading implication:
I’m long uranium (URNJ, URNM) and select power infrastructure plays (PAVE, COPX). I’m watching which AI companies announce dedicated power deals. When Microsoft or Google signs a 20-year contract with a nuclear plant, that’s a signal.
In 2-3 years or sooner, “AI power constraint” will be conventional wisdom. By then, the opportunity is priced in. Edge is seeing it now.
EV bottleneck: Geography-specific feasibility
Mainstream narrative: “EVs are the future globally.”
What I see: EVs work brilliantly in some geographies and are near-useless in others.
Where EVs make sense:
Temperate climates (battery performance stable)
High electricity grid reliability
Dense urban areas with charging infrastructure
High gasoline prices with cheaper electricity tariffs
Government subsidies to offset upfront cost
Where EVs struggle:
Extreme cold (Canada, Scandinavia, Russia—range drops 40%+)
Unreliable grids (much of Africa, South Asia, Latin America and increasingly the Western world)
Long-distance driving cultures (rural US, Australia)
Low gasoline prices (Middle East, parts of US)
The edge:
EV adoption will be far more heterogeneous than bulls assume. Companies that understand regional differences will win. Companies that assume “one model fits all” will waste billions.
Example: BYD’s strategy of offering plug-in hybrids (PHEVs) alongside full EVs is smarter than Tesla’s EV-only approach for markets with unreliable charging infrastructure. Consumers in these markets get electric driving in cities and ICE range for long trips.
Trading implication:
I’m selective on EV exposure. I avoid pure-play EV companies with single-geography focus. I prefer companies with diversified powertrains (Toyota’s hybrid approach, BYD’s PHEV strategy) or battery/charging infrastructure plays (CATL, charging network operators).
Edge Type 4: Uranium—Questioning the Conventional Wisdom
Mainstream narrative: “Nuclear is expensive and takes forever to build. Renewables are cheaper.”
What I learned by asking questions mainstream doesn’t:
Question 1: Where does the “nuclear is expensive” data come from?
Mostly from US and Western European projects (Vogtle, Olkiluoto) that suffered massive cost overruns due to:
Regulatory complexity (each plant is bespoke)
Loss of manufacturing expertise (no plants built for 30+ years)
Legal challenges and delays
First-of-a-kind engineering risk
But look at:
China: Building reactors for $2,000-3,000/kW in 5-6 years
South Korea: $2,500-3,500/kW in 6-7 years
Russia (pre-sanctions): Similar economics
UAE (using Korean technology): On time, on budget
The insight: Nuclear isn’t inherently expensive. Western nuclear is expensive because of regulatory accretion and lack of manufacturing scale.
Question 2: Why is no one talking about the cost of intermittency?
Renewables look cheap when you compare $/MWh in isolation. But they produce power when nature decides, not when demand exists.
The hidden costs:
Battery storage to bridge gaps ($200-400/MWh for 4-hour storage)
Grid overbuilding (need 2-3x capacity for reliability)
Gas peaker plants as backup (capital cost + fuel cost)
Grid stability issues (frequency regulation, voltage control)
Curtailment (throwing away excess power during high production)
When you add these costs, renewables aren’t obviously cheaper than nuclear for base load power.
Question 3: If renewables are so cheap, why are electricity prices rising in renewable-heavy grids?
Germany: Highest electricity prices in Europe despite massive renewable buildout
California: Grid instability despite 40%+ renewable penetration
Texas: Grid failures during extreme weather despite wind/solar growth
The pattern: Societies that pursue intermittent power pay through:
Higher electricity prices (directly)
Lower industrial competitiveness (indirectly)
Grid instability (hidden cost of economic disruption)
Trading implication:
Go long companies in jurisdictions with non-intermittent power:
If your thesis is that reliable, cheap power is a structural advantage for heavy industry, you want exposure to:
Countries investing in nuclear (China, India, UAE, potentially US with SMRs)
Industries that benefit from cheap power in these countries (aluminum smelting, data centers, semiconductor fabs)
Avoid long-term industrial plays in Germany/California/similar if power costs are structural headwind
The uranium trade:
Everyone knows AI drives power demand. Fewer people have worked through:
Global uranium supply deficit (mines take 7-10 years to ramp)
Utilities signing long-term contracts at $70-90/lb (spot is ~$80-85/lb currently)
New reactors in China, India, Eastern Europe coming online 2025-2030
Western countries restarting nuclear programs (France, UK, US)
I’m long uranium miners (URNJ, NXE, DYL ) not because I “like nuclear”—but because I’ve done the work to understand the supply/demand mismatch that most investors dismiss with “but renewables are cheaper.”
This is edge.
The Four-Step Framework for Building Your Own Edge
You don’t need 10 years in an industry to develop edge. But you do need to go deeper than mainstream sources. Here’s the systematic approach:
Step 1: Choose Sectors Where You Have Interest + Access
Interest matters because:
Edge takes years to develop
You need intellectual curiosity to sustain research
You’ll read 10,000 pages on the topic—make sure you care
Access matters because:
Edge comes from information asymmetry
You need exposure to industry insiders, not just journalists
Primary research > secondary research always
How to find your sectors:
Ask yourself:
What industries have I worked in?
What sectors do my friends/family work in?
What technologies am I genuinely curious about?
Where do I have 1st or 2nd-degree connections to insiders?
Examples:
You worked in healthcare → pharma, biotech, medical devices
Your spouse is in logistics → shipping, freight, supply chain tech
You’re obsessed with space → SpaceX, Rocket Lab, satellite internet
Your friend runs a restaurant → food supply chains, agricultural commodities
Start with 2-3 sectors maximum. Edge requires depth, not breadth.
Step 2: Develop Information Asymmetry Through Primary Research.
Secondary research (necessary but insufficient):
Industry reports
Company filings (10-Ks, earnings calls)
Sell-side analyst reports
News articles and trade publications
Primary research (where edge actually develops):
Factory visits (see operations firsthand)
Conversations with industry insiders (CTOs, supply chain managers, engineers)
Expert networks (GLG, AlphaSights, Tegus)
Trade shows and conferences (where real operators talk)
Customer/supplier interviews (understand the value chain)
My solar example:
I didn’t develop edge from reading Greentech Media or BloombergNEF . I developed edge from:
Walking through cell manufacturing lines in Asia
Asking insiders: “Why can’t you substitute silver faster?”
Understanding why polysilicon producers had pricing power in 2020-2021
Seeing which companies had vertically integrated supply chains
You can’t get this from Bloomberg.
Action steps:
Identify 5-10 people in your target sector: Engineers, operators, former executives, suppliers
Ask better questions: Not “Is the industry growing?” but “What’s the bottleneck nobody’s talking about?”
Visit physical operations if possible: A factory tour teaches you more than 100 earnings calls
Join industry associations/forums: Where operators actually discuss problems
Budget for this:
If you’re managing $500K+, spending $2,000-5,000/year on expert networks and research is trivially justified. One avoided mistake pays for it 10x over.
Step 3: Understand Cultural and Structural Dynamics
Every sector has implicit assumptions based on where the industry developed.
Questions to ask:
Cultural:
Which geographies dominate this industry? Why?
What cultural values drive their approach (margin vs scale, IP vs execution)?
Is this a “US innovation + China manufacturing” industry or something else?
How does regulation differ by geography, and who benefits?
Structural:
What are the real bottlenecks (not the ones everyone talks about)?
Where does the value accrue (upstream materials, midstream manufacturing, downstream brands)?
How fast can supply adjust to demand shocks?
Step 4: Stick to Your Circle of Competence
The Warren Buffett principle:
“Know your circle of competence, and stay within it. The size of that circle is not very important; knowing its boundaries, however, is vital.”
In practice:
Do:
Trade only sectors where you have genuine edge
Be patient for opportunities within your sectors
Build deeper expertise over time (edge compounds)
Admit when you don’t understand something
Don’t:
Chase hot sectors you don’t understand
Assume you can develop edge quickly
Trade based on headlines or momentum
Delude yourself that reading Seeking Alpha = edge
My approach:
I have deep edge in:
Solar (10 years in industry)
Commodities and mining (macro understanding + supply chain knowledge)
Chinese equities (language skills, business culture understanding, geopolitical analysis)
I have moderate edge in:
Energy (oil/gas fundamentals, geopolitical implications)
Semiconductors (supply chain dynamics, geopolitics)
Uranium (research-based, but not insider knowledge)
I have no edge in:
Biotech (can’t evaluate science)
Most consumer brands (don’t understand marketing/brand value)
Fintech (regulatory complexity beyond my knowledge)
I only run the Wheel + LEAPS on sectors where I have edge. I might miss opportunities in biotech or fintech, but I won’t blow up from ignorance.
Your job: Define your own circles explicitly. Write them down. Update them as you learn. And stay within them.
Red Flags: When You Don’t Have Edge
Be brutally honest with yourself. You don’t have edge if:
❌ Your thesis comes entirely from reading the same sources everyone else reads
❌ You can’t articulate a detailed bear case for your bull thesis
❌ You’ve never spoken to anyone who actually works in the industry
❌ Your conviction comes from “everyone’s talking about it”
❌ You can’t explain why the market is wrong and you’re right
❌ You’re trading based on price action, not fundamentals
❌ Your research is “I read some articles and it seems interesting”
❌ You don’t know the actual bottlenecks, lead times, or supply chain dynamics
If 3+ of these apply, you’re speculating, not investing with edge.
When to Admit You Don’t Have Edge—And What to Do Instead
It’s okay not to have edge in most sectors. The entire market doesn’t need to be your opportunity set.
If you lack edge in a sector but want exposure:
Option 1: Index/ETF exposure (Are you sure? Option 3 is recommended)
Broad sector ETFs (XLE for energy, SMH for semis, GDXJ for junior miners)
Run the Wheel on ETFs (less conviction needed, lower IV usually)
Accept market returns instead of trying to beat the market where you’re not informed
Option 2: Proxy through a sector you DO understand
Don’t understand biotech? But you understand healthcare economics? Trade UNH or CVS.
Don’t understand AI chips? But you understand power? Trade uranium or utilities.
Find adjacent exposures where your edge applies
Option 3: Don’t trade it
Seriously. Just skip it.
There will always be another opportunity in your circle of competence.
Forced trades outside your edge are where you lose money.
Putting It Together: How Edge Integrates with the Barbell Strategy
Now you see how everything connects:
The Wheel: Apply to stocks where you have moderate-to-high edge
You’re comfortable owning at the strike (you understand the business)
You know what “cheap” looks like in the sector (valuation edge)
You recognize when premiums are elevated (IV edge from sector knowledge)
LEAPS: Apply to sectors where you have high-conviction thesis AND edge
You see a structural trend before the market (information asymmetry)
You understand the timing and bottlenecks (analytical edge)
You’ve done primary research to validate the thesis (work others won’t do)
Stop Losses: You know when your thesis is broken (not just price action)
You understand fundamental deterioration vs noise
You can distinguish “business broken” from “market overreacting”
Your edge tells you when to exit vs when to add
Example: My Current Portfolio Structure
Wheel positions (70-80% of capital):
Gold miners (GDX, GOLD) - I understand supply constraints and monetary dynamics
Energy (XOM, CVX) - I understand oil/gas fundamentals and geopolitics
Commodities ETFs (COPX, SILJ) - I understand supply/demand dynamics
LEAPS positions (10-15% of capital):
Uranium (CCJ, URNM) - High conviction on supply deficit + AI power demand
Chinese tech (BABA, PDD) - Mean reversion thesis + understanding of Chinese business culture
Gold (GLD) - Monetary thesis + dedollarization trend
Cash reserve (10-15%):
Waiting for opportunities within my circle
Not chasing sectors I don’t understand
Notice what’s missing: Biotech, consumer discretionary, regional banks, most SaaS, healthcare (except through macro lenses). I don’t understand them well enough to deploy capital.
Your Action Plan: Building Edge Over the Next 12 Months
This isn’t fast. Edge takes time. Here’s the systematic approach:
Month 1-2: Define Your Circles
List 5-7 sectors where you have existing interest or access
Rank them by edge potential (access to insiders, relevance to your background)
Choose 2-3 to focus on
Write down explicitly: “I have edge in X because...”
Month 3-4: Immersion Phase
Read 5-10 foundational books/reports per sector
Subscribe to trade publications (not financial news—actual industry publications)
Join industry forums, subreddits, LinkedIn groups
Identify 10-15 key players (companies, technologies, supply chain nodes)
Month 5-6: Primary Research Begins
Reach out to 5-10 industry contacts (2nd-degree connections are fine)
Offer value: buy coffee, trade expertise, ask smart questions
Attend one industry conference or trade show if possible
Sign up for expert network (GLG, AlphaSights) and do 2-3 calls
Month 7-9: Thesis Development
Write out 3-5 high-conviction theses in your sectors
Articulate the bear case for each
Identify what you’d need to see to invalidate thesis
Map out bottlenecks, lead times, supply/demand imbalances
Month 10-12: Deployment & Iteration
Start with small Wheel positions in 2-3 names you understand best
Allocate 1-2% to LEAPS on your highest-conviction thesis
Track your reasoning in a journal
Monthly review: What did I learn? Where was I wrong?
This is a year-long process. But at the end, you’ll have genuine edge in 2-3 sectors—which is 2-3 more than most investors have in any sector.
The Long-Term Compounding of Edge
Edge isn’t static—it compounds.
Year 1: You understand the basics, avoid stupid mistakes
Year 3: You see patterns others miss, know who to call for answers
Year 5: You predict industry shifts before headlines, have information asymmetry
Year 10: You’re one of the handful of people who truly understands the sector
My solar edge took 10 years to fully develop. But year 3-4 was when it became valuable for trading. Year 7-8 was when I could see supply chain shifts before they appeared in earnings.
The beauty of edge: It’s path-dependent and hard to replicate. Someone can’t just “learn” your 10 years of factory visits and CTO relationships in 6 months of reading.
This is your moat as an investor.
Conclusion: Edge Is the Only Sustainable Alpha
The Wheel + LEAPS strategy is powerful. Position sizing is essential. Stop losses prevent catastrophic loss. But none of it matters if you’re trading in markets where you’re just guessing.
The harsh truth: Most retail investors have no edge in most sectors. They’re trading against professionals with information advantages, resources, and teams. It’s not a fair fight.
But you don’t need edge everywhere. You need it in 2-3 places. Build deep expertise in a few sectors, and you’ll have more alpha than trying to play 20 sectors with surface-level knowledge.
Your edge is the difference between:
Trading on news (reactive, late, information already priced)
Trading on thesis (proactive, early, information asymmetry)
Your edge is the difference between:
Hoping your stops save you (risk management after the fact)
Knowing when your thesis is broken (conviction about what to hold vs exit)
Your edge is the difference between:
Running the Wheel on random high-IV stocks (hope-based income)
Running the Wheel on quality names you’d genuinely own (conviction-based income)
Start today: Pick one sector. Go deeper than anyone you know. Do the work others won’t. Build edge that compounds.
Because in the long run, edge is the only thing that matters.
Action Steps:
List your potential edge sectors (2-3 maximum, based on background/interest/access)
For each sector, write: “I might have edge because...” and “I would need to learn...”
Commit to 90 days of deep research in one sector: books, insiders, primary research
Set a budget: $500-2,000 for expert calls, conferences, or research services
Schedule quarterly reviews: Am I building edge or just consuming content?
Reflection Questions:
Where do you currently have the strongest edge?
What sectors do you trade where you have zero edge? (Be honest.)
What would it take to develop genuine edge in a sector that excites you?
Who could you reach out to this week to start building sector knowledge?
Remember: The Corolla runs on premium collection. The Lotus needs convexity. But both need you to drive them where you actually know the roads.
Otherwise, you’re just hoping not to crash.
Want guidance developing edge in your chosen sectors? The course includes 1-on-1 portfolio reviews where we identify your existing advantages and build a research plan to deepen them. Remember: edge isn’t taught—it’s built.