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.
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.
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.
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 →
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