Hello
Located
in Indonesia
Steven Diyanto

Independent InvestorAI Builder &Researcher

Steven Diyanto

Steven Diyanto

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02Independent Investment Research

Published research is summarized here. Models, charts, methodology, and full documents remain on the dedicated thesis page.

Published 13 July 2026 / Version 1.0

MSTR 2026–2030:
Beyond the Bitcoin Proxy

This research evaluates Strategy Inc.’s common equity as a path-dependent residual claim on Bitcoin assets after debt, preferred securities, reserve policy, financing costs, and dilution. A favorable Bitcoin thesis does not automatically make MSTR attractive; valuation, liquidity, financing quality, and per-share accretion must improve together.

Bitcoin thesisMSTR security
03Live thesis challenge

Research should survive
contact with reality.

The homepage reads the same public Challenge data used by /challange. The complete ledger, methodology, transactions, audit trail, and thesis monitor remain on the dedicated dashboard.

01

Real capital

A dedicated thesis portfolio records actual exposure rather than a hypothetical paper result.

02

Public decision record

Material actions remain connected to the published framework, evidence, and invalidation rules.

03

One source of truth

Homepage metrics are read from the Challenge API rather than manually duplicated.

Open full live dashboard
Connecting to Challenge data
Portfolio valuePublic Challenge account
Total returnCash-flow-aware record
MSTR heldshares
Current priceMarket data
Portfolio growthChallenge vs. invested capital
ChallengeInvested capital
Average cost
Dedicated account allocation
Challenge status
Data state
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04Nevets AI Ecosystem

A private intelligence environment
designed to remember.

Nevets combines persistent memory, source-of-truth knowledge, structured debate, governance, and execution into one owner-controlled system. The public site explains the principles; operational memory and sensitive state remain private.

01

Persistent memory

Identity, decisions, evidence, operating history, and lessons remain available beyond a single session.

02

Debate before execution

Specialized agents challenge assumptions, preserve disagreement, and escalate material decisions before action.

03

Owner-controlled governance

Authority, approval gates, policy, auditability, and privacy constrain autonomous execution.

04

Resilient operations

Messaging, reassignment, self-repair, and review support a system designed to continue rather than reset.

Operating principle

Memory persists. Debate sharpens. Authority remains human.

The public website describes the philosophy. Operational memory, credentials, and sensitive system state remain private.
05About Steven

Independent investor, researcher, and AI systems builder from Cirebon, Indonesia.

Building capital and systems
with a long horizon.

I began earning in primary school and investing at 12. The years since have included losses, market cycles, rebuilding, published research, and the gradual development of a private multi-agent AI ecosystem.

My long-term direction is financial freedom with purpose: durable wealth, better decision systems, and wider access to healthcare.

  1. Began earning
  2. Began investing
  3. MSTR research & Nevets development
  4. Published research & public evidence