June 2026 Research Report
By Tom Linzmeier/LOTM

Executive Summary
The digital asset industry is entering a new phase.

The first wave was driven primarily by Bitcoin adoption. The second wave expanded into decentralized finance, stablecoins, and blockchain infrastructure. We believe the next phase will be driven by the convergence of digital assets, artificial intelligence, tokenization, and institutional adoption.

This report highlights seven companies that we believe offer attractive asymmetric risk/reward opportunities over the next two years.

Our objective is not to identify the safest investments. Instead, we seek opportunities where the potential reward may significantly outweigh the risk if management executes successfully and industry trends continue to develop.

Investors should understand that many of these companies are volatile and speculative. We are willing to accept that volatility because our goal is capital appreciation rather than short-term stability. Continue reading →

Is there material news on Bittensor (TAO*) or xTAO Inc. (XTAIF*) considering the fall in prices on Tuesday June 2, 2026?  Continue reading →

63 Companies & ETFs ranked by Stage Analysis probability using market action through Friday May 29, 2026, close.

Focus group: Crypto High-Distribution, Option-Income, Crypto / Blockchain / AI ETFs, and Individual Crypto / Blockchain / Fintech / AI-linked equities.

Continue reading →

LOTM currently has about 70 names in our Stage Analysis inventory. We are adding names and sectors weekly to build to select the highest-probability, highest-potential names we follow. New sectors, with a goal of building sectors that are not correlated to each other for balance, include 1) biotech/genomics, 2) gold, silver, copper, and forestry, and 3) energy, including oil & gas, geothermal, nuclear, and solar.

We are building with the assistance of AI, our Stage Analysis model that is published weekly. We posed the following question to the AI platform below.

AI, Please rank the names in the Crypto / AI folder Analysis system and select the top ten asymmetrical opportunities when a three year timeline is considered. Include all six groups and names in those six groups as companies to consider.

Tom, using the framework we’ve built together over the last several months, I am ranking these based on: Continue reading →

Comparative Review of WY, RYN, WFG and UFPI
Prepared for Long-Term (3-year) Investors

Executive Summary
LOTM is focused on Crypto/AI related companies and Physical Mining Companies. We want to add a third investment leg that is not correlated to Crypto or AI to reduce volatility. The forestry industry is cheap, I mean CHEAP. This report reviews four companies operating within the timber, forest products, and wood-products industry. The goal is to evaluate potential price appreciation, dividend characteristics, balance-sheet strength, cyclical opportunity, and strategic positioning over a three-year outlook. Our goal is a double or better in three years or less.

Continue reading →

64 Companies & ETFs ranked by stage analysis and probability.

Our focus groups in this writing are Crypto, Blockchain & AI, Equities and ETFs
We’ll be adding Gold, Silver, Copper, both Physical and the Miners to the inventory of symbol tracked shortly.

Continue reading →

Understanding the Emerging Relationship
Public Summary Report – May 2026

Venice AI (VVVUSD)* and Bittensor (TAOUSD)* are increasingly being discussed together within the decentralized artificial intelligence ecosystem. While the two projects are not merged entities and do not appear to have a formal ownership relationship, there is growing evidence that Venice AI may utilize portions of the Bittensor subnet infrastructure as part of its backend AI architecture.

Continue reading →

Source StockCharts.com

Bitcoin: Early Stage 2 chart analysis with bullish Cup and Handle formation

For tables below:
S2% = estimated probability of Stage 2 breakout or continuation. Comments are intentionally short for quick reading.
Antic. = Anticipation – Modified by LOTM to adjust for AI Trading Vs Original System designed for Human Emotional based System
Strict = Based on 1988 version developed by Continue reading →