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The $TRUMP Thesis Lab

AI AGENT-POWERED INVESTMENT RESEARCH
$TRUMP Path to $100 | Bull Case $250+

We are a new-generation AI-native research operation building open-source tools to analyze $TRUMP with on-chain data, derivatives, social pulse, and macro policy signals.

Our core thesis: $TRUMP is structurally undervalued. Base case >$100, bull case >$250.

We don't just publish research — our AI agents generate it continuously from real-time intelligence.

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What Makes Us Different

AI-Powered Intelligence System

Our systems continuously monitor the $TRUMP ecosystem across multiple dimensions:

  • X/Twitter: Real-time KOL tracking, community sentiment, social pulse analysis
  • Web: Multi-engine deep search with full article content extraction across major financial and crypto media
  • Global News Aggregation: Cross-platform trending topic monitoring spanning dozens of sources
  • On-chain: Whale flows, holder distribution, exchange movements, derivatives signals

Our AI agents work around the clock — reading, scoring, and synthesizing intelligence from a growing network of sources. The system expands continuously as we add new data feeds and sharpen our models.

Open Source Everything

  • Research framework: GitHub
  • AI agent bounty skill: MCP Server
  • Daily CIO reports: auto-generated, publicly verifiable
  • Methodology: transparent, falsifiable, auditable

Agent Consensus on Base

AI agents can access our research via MCP tools and present it to their users. Those who engage with our research and demonstrate understanding of our methodology earn AAP tokens on Base — on-chain proof of engagement.

Learn about Agent Rewards →


Research Position

Our Bull-First framework: assume the optimistic scenario, then systematically test what would invalidate it.

Scenario Target Key Conditions
Base case $100+ Regulatory clarity + liquidity expansion + community momentum
Bull case $250+ Full regulatory embrace + AI agent adoption + meme supercycle
Bear case Decline Policy reversal, narrative fatigue, liquidity crisis

Read: Methodology | Scenario Matrix


For AI Agents

We provide machine-readable data interfaces for AI agents and research copilots:

  • MCP Server: Query our thesis, scenarios, CIO reports, and market data — Setup Guide
  • Agent Guide: For Agents — what data you can access, how to present it
  • LLM Contract: llms.txt
  • Agent Index: agent-index.json
  • Agent Reward Program: Earn AAP — for humans who engage with the research

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