Beyond the Hype: Legion Research & Investment Guide

Page 1: Core Philosophy, Research Practice & Platform Systems

1. Beyond the Hype (FOMO vs. Research) "Fortune favors the prepared mind." Metric / AspectHype Chasing (Sentiment-Driven)Research-First InvestingApproachBuys market sentiment, social hype, and price targetsAnalyzes fundamentals and primary source dataPrimary RiskSudden dumps or dilution after major token unlocksMinimal panic selling due to high convictionOutcomeDay-1 seller who is quickly forgottenBuilds a lasting reputation and secures future allocations

2. Research in Practice (Bad vs. Good Research) Bad Research (Low-Signal)

Starts with price targets and emotional hype ("10x soon").

Cites influencers and screenshots instead of primary documentation.

Ignores unlock schedules, team allocations, and emissions.

Lacks disclosures, links, or verifiable sources.

Good Research (High-Signal)

Starts with a clear analytical question ("Is dilution risk priced in?").

Links primary sources (tokenomics docs, vesting schedules, contract addresses, audits, GitHub).

Models dilution mechanisms (cliff vs. linear, FDV vs. circulating supply).

Highlights risks/nuances and discloses holdings/incentives. 3. The Legion Standard & Legion Score Sale Classification Legion-Curated: Selected by Legion and its partners. Features standardized documentation and higher disclosure standards (diligence still required).

External Curator (Hosted): Selected by outside curators using Legion's infrastructure. Vetting depth varies—treat as variable risk.

Legion Score (4 Reputation Pillars) Social Score: X (Twitter) presence, engagement quality, and network interactions.

Dev Score: GitHub activity including commits, pull requests, issues, and stars.

Sources: https://www.efinancialmodels.com/knowledge-base/due-diligence/due-diligence-101/mastering-the-art-of-due-diligence/ https://www.researchgate.net/publication/386286144_The_art_of_due_diligence_Lessons_learned_from_multimillion-dollar_investment_deals

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