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.
SPCX is added as a new public equity research position tied to SpaceX and space infrastructure optionality. The starter snapshot focuses on post-IPO volatility, valuation discipline, float and lockup dynamics, launch cadence, Starlink demand, and government or defense-adjacent contract flow.
URNM is added as a uranium miners sleeve tied to nuclear fuel, energy security, grid reliability, and AI-related electricity demand. The starter snapshot focuses on policy follow-through, uranium contracting, miner volatility, supply discipline, and commodity-equity risk.
COPX is added as a copper miners sleeve tied to grid modernization, electrification, AI data-center buildout, and physical infrastructure bottlenecks. The starter snapshot focuses on copper demand, inventories, China sensitivity, miner margins, and cost or jurisdiction risk.
Short TLT is added as a duration hedge against higher long rates, term-premium pressure, and discount-rate risk elsewhere in the book. The starter snapshot frames this as a hedge sleeve, not a standalone macro prediction.