LUNA1 RESEARCHIndependent investment research
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Analytical Systems

Small tools that make financial judgment more repeatable.

A portfolio of transparent Python workflows for research prioritization, financial controls, and document quality—not automated trading.

Educational project portfolio. No brokerage execution, live recommendations, or private API credentials are exposed.
Projects3
Completed2
Primary principleAuditable
Trading accessNone
Project Ledger

Tools designed for review, not black-box certainty.

01In Development

LUNA Research Screen

A rules-based company-ranking prototype that organizes fundamental, sponsorship, structure, valuation, and risk inputs without issuing recommendations.

Stack
Python · pandas · typed inputs
Output
Ranked research-priority file
Control
Scores require dated sources and analyst review.
02Completed

Financial Model Audit

A calculation-control workflow for sources and uses, enterprise-value bridges, DCF reconciliation, and scenario checks.

Stack
Python · unit tests · CSV
Output
Exception and balance report
Control
No output is accepted when control totals fail.
03Completed

Professional Document Pipeline

A structured workflow for producing consistent, privacy-safe resume and one-page profile documents.

Stack
Python · ReportLab · PDF validation
Output
Recruiter-ready PDF files
Control
Rendered pages and private fields are checked before release.
Control Philosophy

Readable inputs. Reconciled outputs. Human accountability.

The lab favors small, typed workflows with explicit assumptions and tests. Automation supports the analyst; it does not replace source review or judgment.

LUNA1 / MODEL CONTROL
status       PASS
sources      RECONCILED
assumptions  LABELED
recommendation NONE
review       REQUIRED