Disclaimer
This publication is for educational and informational purposes only. It reflects research opinions and illustrative examples, not investment advice or recommendations. Nothing herein constitutes an offer, solicitation, or advice to buy or sell any security. By reading, you agree to the full disclosures → Ridire Research Substack Disclaimer
About Ridire Research: What It Is and Why Subscribe
Ridire Research is an independent research publication focused primarily on long/short and thematic opportunities. We publish educational market analysis, conceptual frameworks, and illustrative, article-level research ideas designed to help readers think more clearly about narrative, valuation, and risk across global markets. The goal is to make institutional-quality analytical frameworks accessible, transparent, and publicly accountable.
What We Publish
Ridire Research delivers actionable-style insights grounded in fundamental rigor and quantitative structure. We highlight mispriced narratives, regime shifts, and thematic dislocations across asset classes.
Our readership includes professionals from firms such as JPMorgan, Baillie Gifford, Maybank, and Hedgeye, as well as researchers and students affiliated with institutions including NYU, NTU, Vanderbilt, and IIM Indore. We blend traditional research discipline with a modern, open, and public-facing philosophy.
Our Research Funnel
Ideas originate from The Funnel, an internal thematic engine that scans for structural narratives and market dislocations across domains such as:
Behavioral and factor extremes
Agentic AI and software ecosystems
Reshoring and industrial power cycles
Energy security and grid reliability
Defense modernization
Market microstructure, liquidity, and volatility regimes
From these narratives, ideas are filtered using a disciplined, repeatable framework:
Quality & Moats — Structural advantages and durability
Catalysts & Inflections — Asymmetric setups around change
Valuation Gaps — Mispricings with identifiable margin of safety
Macro Context — Liquidity, volatility, and flow dynamics shaping outcomes
Our Philosophy
At Ridire Research, we do not predict markets. We develop testable theses. Each article represents a hypothesis supported by data and tracked publicly. The emphasis is on intellectual accountability.
From Index-Style Constructs to Per-Article Tracking
Historically, some ideas were expressed through a simplified, illustrative research construct to show how theses evolved over time. Going forward, that aggregation has been retired.
Accountability is now handled entirely at the article level, with each idea standing on its own, anchored to the date it was published. This avoids aggregation distortion and reflects how readers actually engage with research: one idea at a time. Each article represents a discrete hypothesis, evaluated on its own merits.
Per-Article Accountability
Each published idea is accompanied by:
A core thesis and key catalysts
Principal risks and failure modes
Relevant macro, sector, or structural context
Ongoing public commentary as the thesis evolves
To support transparency, Ridire Research maintains a simple per-article tracking view showing hypothetical, point-in-time outcomes from the date of publication.
This tracking:
Does not use weights or aggregation
Does not assume interim rebalancing, trimming, or exits
Does not represent an investable strategy or managed portfolio
Each article is tracked independently. There is no rolling construct, cumulative performance, or implied continuity across ideas.
Frequently Asked Questions
Why is the publication currently free?
Ridire Research is in an audience-building and distribution phase. Premium offerings may be introduced in the future, but the core mission is to keep high-quality research broadly accessible.
Who is Ridire Research for?
Professional investors
Quants and analysts
Founders and operators
Students and academics
Readers seeking differentiated frameworks and sharper decision-making tools
How is accountability shown now?
Accountability is expressed per article, not through an aggregate construct.
Each idea is tracked from its publication date on a hypothetical, point-to-point basis, with no weighting, aggregation, or active management assumptions. The purpose is clarity and transparency, not to replicate an investable strategy or produce a track record.
