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