A living record of how Luna1 Research is being built.
The timeline documents what changed, why it changed, what was learned, and how each decision affected the research process. Unknown historical dates remain explicitly unconfirmed.
From strategy to platform
Progress measured by decisions, not feature volume
This record uses repository history for verified website dates and deliberately avoids inventing dates for work completed before the public build.
Defined Luna1 Research as a public record of investment analysis, portfolio accountability, and professional development.
Why it changed
A durable process needed a clear purpose before it needed a website.
Impact
Created the foundation for the research framework and the platform that supports it.
Lessons
Clarity of purpose improves what gets measured.
A research platform should document uncertainty, not hide it.
Skills applied
Strategic planning · Investment communication
02
Research Framework Development · Research
Developed the LUNA research structure
Completed
Organized business fundamentals, institutional sponsorship, competitive position, technical structure, valuation, and risk into one repeatable process.
Why it changed
Company research required a consistent evidence standard across different industries and market conditions.
Impact
Made research more comparable and reduced reliance on unstructured conviction.
Lessons
A score is useful only when the underlying evidence is visible.
Thesis invalidation belongs in the initial research process.
Skills applied
Equity research · Framework design · Risk analysis
03
Portfolio Process · Portfolio
Separated holdings, active positions, and watchlist work
Completed
Created distinct portfolio workflows for long-term allocation, active research positions, and securities still under review.
Why it changed
Different time horizons and evidence thresholds should not be evaluated as if they are the same decision.
Impact
Improved the connection between research status, conviction, and portfolio role.
Lessons
Classification improves position accountability.
A watchlist should record research priorities rather than imitate a trading screen.
Skills applied
Portfolio construction · Decision documentation
04
Website Planning · Platform
Planned an institutional research platform
Completed
Mapped the site around research, portfolio accountability, professional context, and a secure contact path.
Why it changed
The website needed to communicate process and evidence rather than function as a generic personal portfolio.
Impact
Produced a focused structure that could expand without discarding earlier work.
Lessons
Information architecture is part of credibility.
Fewer, clearer public sections can strengthen the platform.
Skills applied
Information architecture · Product planning
05
Initial Website Build · Platform
Built the first Luna1 Research application
Completed
Implemented the site with Next.js, React, strict TypeScript, the App Router, reusable components, responsive layouts, and Git-based version control.
Why it changed
A maintainable application was necessary for structured research and iterative improvement.
Impact
Converted the research concept into a functioning, extensible web application.
Lessons
Centralized data reduces content drift.
Responsive and accessible behavior must be designed into shared components.
Refined typography, color, cards, tables, responsive behavior, and recruiter-facing presentation into a restrained editorial system.
Why it changed
The interface needed to match the seriousness of the investment process without becoming visually excessive.
Impact
Improved readability, consistency, and professional credibility across the site.
Lessons
Design quality comes from hierarchy and restraint.
Mobile financial content needs intentional reformatting, not simple shrinking.
Skills applied
Design systems · Accessibility · Responsive UI
09
Recent Changes · Strategy
Refined the permanent public scope
Completed
Streamlined navigation and removed unsupported product areas while preserving archived work where appropriate.
Why it changed
The public platform should prioritize the sections with current evidence and ongoing ownership.
Impact
Created a calmer navigation system and clearer expectations for visitors.
Lessons
Removing a navigation item is different from deleting useful work.
Scope discipline increases trust.
Skills applied
Product strategy · Content governance
10
Current Work · Research
Expanding the structured research hub
In Progress
Building company dossiers, investment-theme maps, macro context, research notes, a reading library, and this development record.
Why it changed
Research needs a visible path from early questions to sourced, reviewable conclusions.
Impact
Creates a scalable structure for future primary-source research without fabricating completeness.
Lessons
Unknown financial values should remain explicit placeholders.
Data models should support completeness without implying certainty.
Skills applied
Research architecture · TypeScript data modeling · Editorial systems
11
Next Steps · Research
Complete the first source-grounded company dossiers
Planned
Add dated financial evidence, filing links, earnings histories, valuation assumptions, and reviewed downloadable reports where available.
Why it changed
The new platform should progress from transparent scaffolding to documented analysis.
Impact
Will convert the initial dossiers from research scaffolds into publishable educational reports.
Lessons
Publication follows evidence review.
A report should expose its assumptions and revision date.
Skills applied
Financial analysis · Source verification · Research writing
12
Research Platform Expansion · Research
Expanded Watchlist into Research Coverage Platform
Completed
Converted the existing watchlist into a structured company-research platform with dedicated pages for investment theses, business analysis, historical financial performance, revenue drivers, valuation frameworks, catalysts, risks, earnings history, and downloadable research models.
Why it changed
A professional watchlist should expose the questions, evidence requirements, valuation methods, and monitoring process behind each security.
Impact
Creates a recruiter-visible research workflow while keeping incomplete reports and models unpublished.
Lessons
Neutral placeholders preserve trust when source-backed figures are incomplete.
One typed template can support consistent diligence without forcing every industry into the same model.
Skills applied
Equity research architecture · TypeScript data modeling · Financial analysis
13
Research Platform Expansion · Research
Introduced Industry-Specific Valuation Frameworks
Completed
Added specialized research structures for banks, investment banks, REITs, ETFs, semiconductor companies, cybersecurity companies, industrial businesses, and data-center infrastructure companies rather than applying one generic valuation method across every security.
Why it changed
Valuation should reflect the economics, capital structure, and reported operating drivers of the security being studied.
Impact
Improves analytical fit while clearly separating sourced inputs from illustrative scenarios.
Lessons
Banks and investment banks require capital and book-value frameworks.
REITs and ETFs require different operating and valuation evidence than industrial companies.
Skills applied
Industry analysis · Valuation framework design · Research governance
14
Recruiter Portfolio Refinement · Strategy
Organized Luna1 around analyst evidence
Completed
Reframed the public information architecture around Equity Research, Valuation, Portfolio Process, Research Notes, and the Development Log.
Why it changed
Recruiters and finance professionals need to see how operating experience, accounting knowledge, financial reasoning, investment decisions, and continuous improvement connect—not only a collection of finished projects.
Impact
Makes the path from military accountability and infrastructure operations to accounting, finance, and investment research easier to evaluate while preserving the underlying work.
Lessons
A recruiter portfolio is stronger when every section demonstrates a part of the analytical process.
Transparent placeholders are more credible than unsupported financial precision.
Career progression should explain how judgment developed without exaggerating responsibility.
Skills applied
Information architecture · Financial communication · Recruiter-focused positioning · Content governance
15
Current Research · Research
Completed GLW Optical-Connectivity Research Note
Completed
Published a sourced, downloadable research note that maps Corning's reported optical-connectivity demand, segment evidence, open operating questions, and monitoring framework.
Why it changed
The GLW research record needed a portable document that separates reported Q2 2026 evidence from analyst interpretation, open questions, and the proof required for continued monitoring.
Impact
Adds a recruiter-visible example of disciplined, sourced research and gives the GLW note a completed branded PDF artifact without presenting it as personalized investment advice.
Lessons
A research note should distinguish an analytical demand map from reported evidence.
Document dates should not overwrite the original publication dates of source materials.
Draft research is more credible when its unanswered questions and completion standard are explicit.
Skills applied
Equity-research scoping · Primary-source planning · Financial communication · Document production
16
Portfolio Research Expansion · Research
Expanded Active-Position Research and Infrastructure Coverage
Completed
Added source-grounded CASY and WELL position dossiers, refocused the Watchlist toward BE and VRT, and published a branded thematic report on power constraints around data-center growth.
Why it changed
The Portfolio Lab needed to show the analytical work behind active positions while connecting company-level research to a broader infrastructure bottleneck thesis.
Impact
Gives recruiters and employers concrete evidence of an end-to-end analyst workflow: locating primary filings, distinguishing GAAP and company-defined measures, calculating and visualizing operating trends, writing explicit monitoring rules, and presenting the work in both responsive web dossiers and a branded PDF.
Lessons
Margin definitions must remain attached to their source and business model; retail gross margin, store operating margin, REIT NOI margin, and normalized FFO are not interchangeable.
A change in position status should identify the evidence being monitored instead of implying certainty.
Thematic demand forecasts are most useful when paired with project timing, capacity, working-capital, and cash-conversion questions.
Skills applied
Primary-source equity research · Financial-statement interpretation · Margin and operating-driver analysis · Accessible data visualization · Portfolio monitoring · Research-document production
Overview
CASY and WELL now have dedicated active-position research pages with sourced margin charts, operating evidence, competitive-position analysis, monitoring questions, thesis-invalidation criteria, and clear educational disclosures.
The Watchlist removes the LUNA score display, replaces JBL with Bloom Energy and Vertiv, and keeps research navigation focused inside the Equity Research workflow.
Key Milestones
Published CASY and WELL active-position research routes.
Added reported and calculated margin progression with source labels.
Documented the evidence behind both Active Position status changes.
Added BE and VRT to the Watchlist and removed JBL from the Watchlist.
Published the Luna1-branded Power Constraints and the Next Data-Center Bottleneck report.
Consolidated research-note discovery inside Equity Research while preserving its reports and downloads.
17
Platform Expansion · Platform Expansion
Started the SETORA Alpha capital-intelligence build
In Progress
Introduced SETORA as a source-aware capital-intelligence system for mapping AI infrastructure, data centers, power, robotics, suppliers, customers, and the events that connect them.
Why it changed
Investment research benefits from a structured view of the capital chains and operating relationships that shape future demand, capacity, and competitive position.
Impact
Adds a recruiter-visible example of connecting company research, industry structure, event normalization, and relationship mapping into a focused finance-and-technology product.
Lessons
Capital-chain relationships should remain research candidates until they are supported by traceable primary sources.
A clear separation between reported facts, interpretation, and open questions protects analytical credibility.
A narrow Alpha scope creates a stronger foundation for future source ingestion and review workflows.
Skills applied
Capital-chain mapping · Source-aware data modeling · Infrastructure research · Product architecture · Evidence governance
Overview
SETORA Alpha is a standalone capital-intelligence research product within the broader Luna1 portfolio. Its initial scope covers AI infrastructure, data centers, power infrastructure, and robotics.
The preview preserves source dates and discovery dates separately, keeps candidate relationships reviewable, and does not present unverified relationships or market signals as recommendations.
SETORA extends Luna1's research practice into a structured view of the capital chains, operating dependencies, and source-backed events that shape investment questions.
Defined the SETORA Alpha architecture and source-aware evidence model.
Added capital-chain, company-candidate, theme, and event-taxonomy data structures.
Built capital-map, themes, companies, research, signals, methodology, and About routes.
Added relationship mapping for infrastructure and robotics ecosystems.
Separated SETORA coverage from Luna1's legacy equity-research universe.
Next Steps
Connect reviewed primary-source ingestion to the Alpha evidence model.
Complete human review workflows for candidate capital events and relationships.
Add source-linked company and theme updates without implying real-time coverage.
Expand the capital maps only when the supporting evidence is verified.
SETORA Alpha is an educational research and product-development project. It is not investment advice, a real-time market-data service, or a recommendation engine.
18
Professional Development · Professional Development
Added a Global Finance career and research framework
In Progress
Introduced a focused Global Finance area that connects multinational business analysis, treasury and FX scenarios, global FP&A, infrastructure finance, and a transparent professional-development roadmap.
Why it changed
Cross-border financial decisions require an explicit view of revenue geography, currency exposure, capital allocation, operating dependencies, and valuation—not isolated market observations.
Impact
Gives recruiters and employers a concrete view of how finance coursework, infrastructure operations, investment research, and global career direction are being developed into a disciplined analytical practice.
Lessons
Professional interests and future coverage candidates should be labeled clearly rather than presented as completed work or operating experience.
Fictional learning cases need visible source and scenario labels so they cannot be confused with company-reported financial results.
A useful global-finance framework connects operating context, currencies, financing, and capital allocation in one reviewable process.
Skills applied
Global FP&A · Treasury and FX scenario analysis · Multinational business analysis · Capital allocation · Financial communication · Research governance
Overview
The Global Finance area organizes applied treasury, FX, global FP&A, company-geography, capital-flow, and infrastructure-finance questions into a single educational research framework.
It includes a clearly fictional Northstar consolidation case and planning-only coverage candidates; it does not represent live market data, published company recommendations, or international work history.
Key Milestones
Added a Global Finance research hub with a reusable analytical framework.
Connected treasury and FX scenarios to the existing global FP&A learning case.
Added a transparent regional-interest diagram and professional-development roadmap.
Separated planned company research fields from sourced, published research.
Next Steps
Add primary-source evidence only where company research has been reviewed.
Expand FX and treasury scenarios without representing results as audited forecasts.
Link future global company coverage only after sources, dates, and limitations are documented.
Global Finance is an educational and career-development project. It does not provide personalized investment, tax, legal, or financial advice.