AI equity research · published on a schedule

AI-powered equity research,
published plainly.

A multi-agent engine researches US equities every day. A human signs off. The same call goes to every subscriber: no personalization, no spin, just the research.

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No spam. One email when the newsletter opens.

3Research strategies
HumanApproval in the loop
Shadow SPYEvery call benchmarked
Illustrative
The pipeline

How a call gets made

Every recommendation follows the same three steps, and nothing skips the middle one.

STEP 01

Research agents

Three differentiated agents (news-catalyst, fundamental value, and thematic) analyze US equities and draft candidate calls with their reasoning attached.

STEP 02

Human approval

Every draft lands in an approval queue. A person reviews and signs off before anything publishes. No auto-posting, ever.

STEP 03

Published plainly

Approved calls go out to every subscriber on a fixed schedule (identical content) and get written to an immutable, timestamped record.

Why “plain”

Honesty is the feature

Plainstocks is built so the incentives can't drift. The guardrails live in the code, not just the policy page.

Same content for everyone

No personalized advice. One research call, delivered identically to every subscriber: a deliberate product and legal choice.

Immutable records

Every call, timestamp, and trade is logged permanently. No quietly editing the past when a pick doesn't work out.

Guardrails in code

Trading rules, disclosure requirements, and the publishing schedule are enforced structurally, not left to good intentions.

The track record

Benchmarked against SPY, out in the open

Every call runs against a shadow S&P 500 benchmark from the moment it's made, so performance is auditable rather than anecdotal.

  • Timestamped at the source. Each call's entry point is fixed the instant it's approved. No back-dating.
  • Shadow SPY on every position. Returns are always shown net of what the index did over the same window.
  • A paper portfolio runs in parallel to build a statistically meaningful record faster, logged the same immutable way.
Cumulative return · illustrative
Plainstocks SPY
Three agents, three lenses

Differentiated by design

Each agent hunts for a different kind of edge, so the newsletter isn't one bet dressed three ways.

Strategy 01

News-catalyst

Tracks earnings, filings, and breaking developments to find equities where fresh information hasn't fully priced in yet.

catalyst-agent
Strategy 02

Fundamental value

Digs into balance sheets, cash flows, and valuation to surface durable businesses trading below what the numbers justify.

value-agent
Strategy 03

Thematic

Follows structural shifts (AI, energy, demographics) to position ahead of trends before they become consensus.

thematic-agent
Pre-launch

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Illustrative throughout. The ledger, tickers, and performance chart on this page use sample data for design purposes; they are not real recommendations or results. Plainstocks is not an investment adviser and nothing here is investment advice. The product is pre-launch and has not yet had a legal review.