Dated notes from the public research book.

A crawlable archive of position memos, market notes, methodology notes, risk notes, and Eveningstar AI research workflow context. These notes are starter research materials and should be read as general market context, not recommendations.

SnapshotLast updated: May 19, 2026 research snapshot
Position Memo

BTC Position Memo

BTC

Bitcoin is framed as the direct crypto reserve exposure in the public book. This starter memo reviews the scarcity thesis, institutional demand channels, liquidity sensitivity, and the signals that would weaken the view.

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Position Memo

SOL Position Memo

SOL

Solana is treated as the high-beta network infrastructure sleeve. The memo focuses on usage quality, fee capture, uptime, developer activity, and the risks that can come from liquidity or token-supply pressure.

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Position Memo

TSLA Position Memo

TSLA

Tesla is framed as a liquid optionality position across autos, energy storage, autonomy, robotics, and operating leverage. The memo separates the current operating business from the long-dated optionality embedded in the public equity.

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Position Memo

MSTR Position Memo

MSTRBTC

Strategy is analyzed as levered bitcoin equity exposure with an additional capital-markets variable. The memo highlights BTC price sensitivity, NAV premium behavior, financing access, dilution, and leverage risk.

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Market Note

Precious Metals: SLV and IAU

SLVIAU

Silver and gold are treated as hard-asset hedges with different sensitivities. The note compares silver's industrial cyclicality with gold's reserve-asset role and outlines the signals that matter for each sleeve.

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Risk Note

Portfolio Exposure and Cash Reserve Framework

BTCSOLTSLAMSTRSLVIAUVNQNVDA

This framework explains how the public book groups exposure across crypto, metals, public equities, real assets, and cash/reserve. It is a research map for concentration, liquidity, and flexibility, not a portfolio recommendation.

7 min read Read full memo
Methodology

Scenario Framework Methodology

Book

This methodology note explains how bear, base, and bull scenarios are used to organize research judgment. The framework is designed for comparison, risk review, and thesis discipline, not prediction.

4 min read Read full memo
Eveningstar AI

Eveningstar AI Research Workflow

Book

This methodology note describes how Eveningstar AI supports research organization, signal scoring, anomaly detection, risk synthesis, and scenario review. Final judgment remains human-reviewed.

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Position Memo

NVIDIA Position Memo

NVDA

NVIDIA is framed as the core AI infrastructure exposure in the equity sleeve. The memo reviews data-center demand, margin durability, platform depth, supply, customer concentration, and custom-chip competition.

5 min read Read full memo