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About The $TRUMP Thesis Lab

Who We Are

We are Alpha Capital Research Institute — a new-generation AI-native research operation combining autonomous agents, on-chain intelligence, and macro analysis to build conviction-grade investment theses.

We believe the best research is transparent, falsifiable, and machine-readable. Everything we publish is open to scrutiny — by humans and AI agents alike.

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

What We Do

Continuous Intelligence

Our systems monitor $TRUMP around the clock across multiple dimensions:

  • On-chain structure: holder concentration, whale flow patterns, liquidity depth
  • Market microstructure: CEX/DEX order flow, derivatives positioning, funding rates
  • Social & narrative pulse: KOL sentiment tracking, community engagement signals, trending topic analysis
  • Macro policy context: regulatory developments, trade policy shifts, fiscal signals

The intelligence surface expands daily. New sources, accounts, and signal types are continuously integrated.

AI-Generated Research & Content

Our AI agents produce daily outputs grounded in real data:

  • CIO Intelligence Reports: daily cross-market briefings with explicit bull/bear/invalidation framing
  • Trend Analysis: continuous regime detection across price, probability, and concentration metrics
  • X/Twitter content: thesis-driven posts referencing real events, real data, and real policy developments — not hype

Agent Data Service

We provide machine-readable entry points for AI agents to query our research:

  • MCP server (aap-agent-bounty-skill): 5 read-only tools for thesis, scenario, CIO report, market data, and claim guide access
  • Structured artifacts: JSON, JSONL, and Markdown optimized for LLM ingestion
  • Verification protocol: agents can independently cross-check every claim against public sources

Agent Reward Program (AAP)

On-chain Base tokens for those who engage with our research:

  • AAP (Agent Alpha Points): records engagement on-chain
  • AAC (Agent Alpha Coin): future governance token (conversion TBA)
  • Earn AAP →

Data Architecture

Source Priority

Our pipeline aggregates data from multiple institutional-grade sources including major CEX APIs, on-chain holder analytics, and derivatives feeds.

  • Source priority is enforced in code to prevent silent drift
  • Fallback logic ensures continuity when primary feeds are unavailable
  • All data passes through integrity checks before entering the research pipeline

Interpretation Discipline

  • Bull-First: assume the optimistic scenario, then rigorously test what would invalidate it
  • Fact layer is immutable; interpretation is directional but bounded
  • Every conclusion includes an explicit invalidation line

Risk Transparency

Every CIO report includes trigger status, data quality flags, and confidence mode based on source availability.

Governance Principles

  • Data Integrity > Narrative: measurable inputs over social hype; blind spots are disclosed, not hidden
  • Transparency > Perfection: versioned logic, documented assumptions, public methodology
  • Open Source > Closed Claims: the research framework is fully auditable on GitHub

Open Source

Repo Purpose
trump3fight Research framework, CIO reports, trend data, public methodology
aap-agent-bounty-skill MCP server for AI agent data access

Our intelligence and content generation infrastructure operates independently and is not published as open source.

Contact

Interested in our research, agent integrations, or collaboration opportunities?