// 00WARREN · Equity Research Agent for Investors

WARREN·

Ask Warren · Get a Thesis · Execute with Confidence

Stop screening five hundred names in a spreadsheet. Ask Warren — get a ranked shortlist and a written thesis on every top pick.

WARREN is an autonomous equity-research agent. It scans the S&P 500 and Nasdaq-100 (≈580 tickers), drops the obviously expensive and illiquid names with a rules-based pre-filter, scores every survivor 1–10 on undervaluation with a written reason, and writes a full thesis on the top ten — bull case, bear case, what would change the call, catalysts, risks. The whole process streams live to an operator console so you can watch the agent reason rather than wait for a list. Built on the AGENT X pipeline pattern; same operating shape as Claude Code, pointed at equities instead of code. Live soon at WarrenTrades.com.

// 01Why Investors Need It

The work an analyst does daily — done across the whole universe, every time you ask.

Equity research is bottlenecked by attention. A good analyst can cover twenty names well, fifty competently, two hundred superficially. WARREN reproduces the work itself — universe definition, fundamentals pull, quantitative gate, qualitative score, full thesis on the top picks — and executes it across the entire S&P 500 plus Nasdaq-100 in a single scan. The investor reads the artifact and decides.

// REASON 01

Full coverage, not a hand-picked twenty

A single WARREN scan covers ~580 unique tickers across the S&P 500 and Nasdaq-100. No selection bias from a watchlist the analyst built two years ago. Names that wouldn't normally cross the desk get the same fundamental scoring as the household ones.

580 Tickers · One Scan
// REASON 02

A written thesis on every top pick

Not a star rating, not a numeric score in isolation — a full analyst-grade write-up on each top-ten name. Bull case. Bear case. What would change the call. Catalysts to watch. Risks that bind. The artifact you'd expect from a junior analyst working a name for a full afternoon.

Bull · Bear · Catalysts · Risks
// REASON 03

Reasoning visible, not a black box

The agent's work streams to the console step by step — which tickers passed the gate, why a name scored 8 instead of 6, the analyst's reasoning as it writes the thesis. The investor watches the agent think and can intervene at any step. Closer to pairing with an analyst than reading a finished report.

Live Stream · Transparent Reasoning
// REASON 04

Cheap enough to ask often

Scans are sold in packages — single scans, monthly bundles, or unlimited tiers — priced from roughly $25 to $50 per scan depending on tier. The investor can refresh a thesis on a name or rerun the full universe whenever market context shifts, without re-engaging an analyst or rebuilding a research budget. One package, the whole S&P and Nasdaq-100 on tap.

$25–$50 Per Scan · Refresh On Demand
// REASON 05

Replayable on any historical snapshot

Every scan is cached with its inputs (universe, snapshot, prefilter thresholds, model versions) and its outputs. The investor can replay a scan from any past date and reach the same answer. The artifact is reproducible, not a one-shot generation.

Cached · Reproducible · Auditable
// REASON 06

Decision input, not execution signal

WARREN produces research — not a trade. The investor sizes the position, decides the entry, and signs the order themselves. The agent carries the cognitive load of the screen and the write-up; the investor owns the decision and the capital.

Investor Decides · Investor Signs
// 02The Pipeline

Six stages, run in order, streamed live.

WARREN is built on the AGENT X pipeline pattern — the same operating shape as Claude Code, with the agent's reasoning streamed to the operator over a live event channel. The pipeline runs the same way every scan; the inputs (universe, prefilter thresholds, model selection) are configurable.

// STAGE 01 · UNIVERSE

Load the ticker set

S&P 500 + Nasdaq-100 constituents loaded from the index sources, deduplicated to ~580 unique tickers. Cached for a week to avoid hammering the source. Universe is configurable for private deployments — Russell, FTSE, MSCI sub-sets, or any custom list.

~580 Tickers · 1-Week Cache
// STAGE 02 · SNAPSHOT

Pull fundamentals + price

For every ticker in the universe: trailing and forward P/E, P/B, EV/EBIT, FCF yield, debt-to-equity, PEG, market cap, 90-day average volume, distance from 52-week high, dividend yield, current price. Parallel fetch, 12 workers. Snapshot cached for 6 hours so repeat scans don't repeat the slow step.

Parallel Fetch · 6h Cache
// STAGE 03 · QUANT GATE

Rules-based pre-filter

Before any LLM call: drop the obviously expensive, illiquid, or over-levered names using a configurable rule set. A ticker passes the gate if it satisfies at least N of: P/E < 18, fwd P/E < 16, P/B < 3.0, FCF yield > 5%, EV/EBIT < 14, D/E < 1.5, PEG < 1.5, ≤85% of 52w high, dividend yield > 2%. The defaults are tuned for value-orientation; thresholds are configurable.

No LLM Spend on Obvious Losers
// STAGE 04 · RANKER

Score 1–10 with a written reason

Survivors of the gate go to a Claude Haiku ranker in batches of 25. Each ticker gets a numeric score (1–10) on "warren-worthiness" — undervalued, mispriced, structurally cheap — and a one-paragraph reason. Speed: full ranker pass in under 60 seconds on a typical scan.

Claude Haiku · Sub-Minute Pass
// STAGE 05 · ANALYST

Deep thesis on the top ten

The top-N (default 10) by ranker score graduate to a Claude Opus analyst. Each name receives a full thesis: bull case, bear case, what would change my mind, catalysts, risks. Output is the analyst-grade research artifact — not a buy/sell signal. Every scan package includes the full Opus deep-dive on the top ten — no per-thesis add-on, no upsell.

Claude Opus · Full Thesis · Per Name
// STAGE 06 · STREAM

Live to the operator console

Every event — universe loaded, snapshot fetched, ticker passed, ticker scored, thesis written — streams to the operator console over a server-sent event channel. The investor watches the agent reason and can pause, drill in, or kick a re-scan. Live soon at WarrenTrades.com.

SSE Stream · Operator-First
// 03How a Session Works

Ask. Read. Trade.

01

Ask

The investor opens the console, picks a universe (S&P 500, Nasdaq-100, or both), and triggers a scan. Optionally narrows by sector, market-cap floor, or a custom watchlist. One command — no model selection, no parameter tuning required.

02

Read

The investor reads the ranked shortlist and the top-ten theses — bull case, bear case, what-would-change-the-call, catalysts, risks. Adds names to a persistent watchlist. Re-asks tomorrow against a fresh snapshot. The agent's reasoning is preserved in the run log — every scan is reproducible, every thesis is replayable.

03

Trade

With the thesis in hand the investor sizes, decides, and signs the position through their broker of choice. WARREN delivers the research artifact — the investor owns the trade. Conviction in, execution out; no black-box signal, no auto-routing, no shared P&L.

// 04Who WARREN Is For

Built for investors who want a research desk, not a tip sheet.

WARREN pays off where the investor's edge is decision-making and position sizing, and the bottleneck is generating analyst-grade coverage at scale. Three profiles get the most leverage from the agent — the math compounds fastest when the user is already operating with research discipline.

// PROFILE 01

Individual investors with conviction

Self-directed investors who want fundamental research across a wide universe but don't have access to a sell-side desk. WARREN gives them analyst-grade coverage on demand for the price of a scan package — not a sell-side retainer. The live console will be available soon at WarrenTrades.com.

Self-Directed · On-Demand
// PROFILE 02

Family offices & emerging funds

Single-family offices and emerging long-only funds that want repeatable analyst coverage without scaling headcount. WARREN replicates the workflow of a junior research analyst across the full universe and writes the artifact the PM reads. Custom universe and prefilter thresholds available for private deployments.

Repeatable Coverage · Configurable
// PROFILE 03

Quant teams looking for signal+thesis

Systematic teams that already have factor models but want a qualitative narrative layer on top — for portfolio construction, risk overlay, or external communication. WARREN's written thesis is the bridge between a screen output and a position memo. The pipeline is configurable end-to-end.

Signal Layer · Narrative Layer
// 05Frequently Asked

Direct answers.

What does WARREN actually do for an investor?
WARREN reproduces the daily work of a value-oriented equity analyst — universe definition, fundamentals pull, quantitative pre-filter, qualitative ranking, deep-dive thesis writing — and does it across the entire S&P 500 + Nasdaq-100 in a single scan. The investor receives a ranked shortlist plus a written research artifact on each top name. Live operator console at WarrenTrades.com.
Is WARREN a trading signal?
No. WARREN produces analyst-grade research — a written thesis with bull case, bear case, what-would-change-the-call, catalysts, and risks. It is a decision input for an investor, not an execution signal. The investor sizes, decides, and signs the position themselves.
What universe does WARREN scan?
S&P 500 and Nasdaq-100 by default — approximately 580 unique tickers after dedup. Universe is configurable; equivalent indices (Russell, FTSE, MSCI sub-sets) or a custom watchlist can be wired in for a private deployment.
How does the pipeline work?
Six stages. (1) Universe loaded from index constituents. (2) Snapshot — fundamentals + price pulled per ticker. (3) Quantitative pre-filter — rules-based undervaluation gate (P/E, fwd P/E, P/B, FCF yield, EV/EBIT, debt-to-equity, PEG, distance from 52-week high, dividend yield). (4) Ranker — Claude Haiku scores survivors 1–10 with a written reason. (5) Analyst — Claude Opus writes a full thesis on the top ten. (6) Stream — the operator watches each step over a live event stream.
What is the operator experience like?
A Bloomberg-style command bar at the top, function tabs for SCAN / WATCHLIST / HISTORY, a live event stream that shows the agent's reasoning step by step, and result panels with sortable ranked output. The operator sees the agent thinking — not a black box producing a list. Live soon at WarrenTrades.com.
How much does a scan cost?
Scans are sold in packages — single, monthly bundles, and unlimited tiers — priced from roughly $25 to $50 per scan on average depending on the tier. Each scan covers the full pipeline: universe load, fundamentals snapshot, quant gate, Haiku ranker on survivors, and Opus deep-dive on the top picks. Snapshot caching keeps repeat scans inside a 6-hour window fast without re-running the slow fundamentals pull.
Is the output investment advice?
No. WARREN produces a research artifact. It is not investment advice and should not be used as the sole basis for any investment decision. The investor is responsible for sizing, timing, risk, and execution.
How do I get access?
The live operator console launches soon at WarrenTrades.com. For a private deployment, a configured universe, or integration with a fund's existing research stack, send a brief through the engagement form on our Contact page. Direct inquiries and introductions are both fine — no referral required.
//Engagement

Want WARREN on your universe?
Ask Warren — or open a conversation about a private deployment.

Live console launching soon at WarrenTrades.com · Private deployments via the engagement desk · Response within two business days

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