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ICEBERG Intelligence — 10 analysis modules, institutional quant layer, and AI cross-analysis. One command. One verdict. Actionable in minutes.

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chartreader-terminal — bash
$ cr analyze AAPL Fetching 7 data sources · Running 10 modules · Synthesizing with AI engine... ▸ ICEBERG INTELLIGENCE — AAPL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EXECUTIVE SUMMARY Revenue beat consensus by 3.2%. Services margin expansion offsetting hardware deceleration. Net buyback yield 4.1% — float shrinking at pace. One non-obvious risk: India supply concentration. THE DOMINANT DRIVER Services segment now 38% of gross profit with 72% margin vs hardware's 36%. Every percentage point of Services mix shift = +$4.2B to EBIT. CONSENSUS vs BLIND SPOT Consensus: iPhone cycle recovery in H2. Blind spot: Vision Pro supply chain consuming $2.1B capex with zero revenue contribution YTD. RISK MATRIX P(bear, -18%) = 22% — Fed hold + China tariff P(base, +8%) = 51% — Services re-rating P(bull, +24%) = 27% — AI integration monetizes ICEBERG VERDICT ASYMMETRIC LONG · Confidence: 73% Asymmetry: 3.1:1 (bull/bear) Next catalyst: Oct 31 earnings — 14 days

Output condensed for illustration — full analysis includes all 10 modules

10 modules. One command.

Every layer runs in parallel. 7 data sources. 3M+ records in Supabase.

Quant Layer

Z-scores, stress test (5 scenarios), factor decomposition, reverse DCF, Piotroski F-Score, earnings quality

Institutional Intelligence

Buyback timing, credit-equity divergence, float shrinkage, SBC dilution, FCF/NI conversion, regime positioning

Earnings Predictor

Insider timing + EPS acceleration + consensus + IV crush → beat/miss prediction with confidence score

Ecosystem Mapping

Supply chain exposure, competitor dynamics, macro transmission channels, geopolitical vectors

Sector Playbooks

8 sector-specific frameworks: Tech, Finance, Healthcare, Energy, Consumer, Industrial, Real Estate, Comms

Seasonality Engine

Month-by-month historical patterns per sector and asset class, calibrated against current macro regime

Cross-Analysis

2 convergences + 1 divergence across all data layers. The insight that doesn't show on any chart.

Action Plan

3 concrete scenarios with entry/exit levels, catalysts with dates, asymmetry ratio, confidence score

How it works

01
You type a ticker
cr analyze BTC · cr analyze SPY · cr analyze EUR/USD
02
Terminal runs the pipeline
7 data sources fetched in parallel. 10 modules analyze independently. No waiting.
03
AI cross-analyzes
The AI engine synthesizes all layers. Finds the non-obvious angle.
04
You get the ICEBERG verdict
Dominant driver, blind spot, risk matrix, action plan, confidence score. Done.
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