One model can be confidently wrong.

Why every TradingMapClaw report is built by one engine, re-checked by a second, and judged by a council of independent models before a human ever reads it.

Research & education only. Not investment advice. · WATCHLIST_ONLY

Why this isn’t just asking ChatGPT.

A single model gives you one answer with no second opinion. TMC makes two independent engines derive the same numbers — and prints the disagreement instead of hiding it.

Single AI · ChatGPT / one agent

One model. One answer. No one checking.

  • 1You ask once. A single model responds.
  • 2It states a PE, a growth rate, a target price — confidently.
  • 3Nothing re-derives those numbers. No second view.
  • !If it’s wrong, it’s wrong fluently — and nothing tells you.

Confidently wrong, silently.

TMC · Dual-Engine + Council

Two engines derive it. A council decides.

  • AEngine 1 (Hermes Agent) derives the fundamentals — valuation, insider flow, the thesis.
  • BEngine 2 (Codex) independently re-derives the key numbers: PE, revenue growth, an illustrative valuation range, and the 52-week range.
  • Agree within 5% → confidence rises. Disagree → the divergence is printed, not smoothed over.
  • Contested calls go to the Council War Room for a three-round vote.

Disagreement is a feature, not a bug.

Round 1

DeepSeek proposes

DeepSeek V4 Pro makes the opening call on the contested ticker.

Round 2

GLM-5.2 reviews

A second model reviews the proposal, challenges the weak points, and revises.

Round 3

GPT-5.6 breaks the tie

The tiebreaker returns a single scenario label with a confidence score out of 100 — illustrating how the verification workflow resolves disagreement.

One model can be confidently wrong. A second engine catches it. A council decides.

No single vendor’s model bias — or outage — silently defines the whole analysis. WATCHLIST_ONLY · Research & education only. Not investment advice.

One full cycle, end to end.

The system runs across the full trading day and after-hours — collecting, reasoning, cross-verifying, and voting — so the verdict is ready when you are. Times follow each market session; the flagship tasks are highlighted.

Evening · Pre-market build-up

8:00 AMMon–Fri · ET
T3

Pre-market Deep Dive

GLM-5.2 · 14 sections

The most detailed scheduled report of the night: watchlist panorama, ticker-by-ticker deep dive, macro overview, full-list coverage, news & impact, valuation & technicals, a scoring panel, catalysts, and a data-quality check — an illustration of the workflow's report structure.

8:30 AMET
Scoring

Scoring Engine

A worked example of turning a model's conviction into a numeric score — then a plain scenario label (e.g. Watch / Hold / Review) per ticker. Illustrative of the scoring workflow, not a recommendation.

8:45 AMET
Deep Analysis

Ticker Analyst

GLM-5.2 + Codex

Multi-engine deep analysis per ticker: Engine 1 (fundamentals + valuation + insider) → Engine 2 (technicals + cross-verify) → a co-authored Synthesis. 8 sections, ≤1,200 words, ending in a scenario label and an illustrative valuation range. A worked example of the analysis workflow. How it works ↓

8:50 AMMon–Fri · ET
T11

Screening Radar

A full-market screening example. Scans 8 sources and hard-filters out OTC, meme, penny, and micro-cap names. Five-factor scoring — Surge Intensity, Catalyst Backing, Supply-Chain Chokepoint, Market Blindness, Sector Alignment — sorts results into three illustrative score bands.

🔴 High-Score ≥ 70 🟡 Mid-Score 50–69 🟠 Low-Score

Night · Deep reasoning & the vote

9:00 AMMon/Thu · ET
T26

Supply Chain Onion

GPT-5.6

A five-layer peel across 8 sectors — upstream (raw materials → components → equipment) and downstream (contract manufacturing → end brands). Each layer gets a bottleneck story (“who’s got who by the neck”) and a company deep-dive: moat, financials, valuation, and a scenario label. Plain language, no jargon.

9:15 AMET
Bull/Bear

Bull vs Bear

GLM-5.2

Per-holding bull case vs bear case, ≤3 points each, scored X/10 — the tension made explicit.

9:30 AMET
Scenario

Scenario Explorer

DeepSeek V4 Pro

An educational walk-through of common trade-offs — how a workflow can frame different market scenarios and outcomes side by side. Illustrative only; nothing here is a strategy recommendation.

9:45 AMMon–Fri · ET
Council

Council War Room

The multi-model vote for contested outputs: R1 DeepSeek proposes → R2 GLM-5.2 reviews → R3 GPT-5.6 breaks the tie → a single scenario label with a confidence score out of 100. An illustration of the verification workflow.

Overnight · Real-time watch

10:30 AM–3:00 PMET
T1

Intraday Snapshots

DeepSeek V4 Pro · 11 sections

Four passes — 10:30 AM, 12:00 PM, 1:30 PM, 3:00 PM ET — tracking real-time watchlist prices, news, sentiment, and a 6-factor scoring panel. Sends a data alert the moment a tracked ticker moves ±4% / ±6%.

Dawn · The wrap-up

5:00 PMMon–Fri · ET
T2

After-Hours Daily

GPT-5.6 · 12 sections

The most comprehensive daily read: watchlist panorama, the full-list coverage (49 tickers), sentiment divergence, oversold/overbought score examples, next-session watch items, and a data-quality report — an illustration of the workflow's daily output.

7:00 PMET
T16

Market Sentiment Pulse

GPT-5.6

Breadth metrics, the Fear & Greed index, and sector sentiment — the market-mood side of the morning brief.

The supporting cast — the other jobs that run through the night
T17Earnings calendar & surprise tracking across the watchlist.
T18Insider activity from SEC Form 4 filings — who’s buying, who’s selling.
T15Macro sweep — rates, CPI, jobs, and the calendar that moves everything.
T12Weekly synthesis — the week compressed into a single review.
BacktestStrategy backtesting against historical windows.
DCFDiscounted-cash-flow valuation for the core holdings.

TMC v2.0 · times shown per market session · For research only · WATCHLIST_ONLY