Update Types
DEEP — Full re-analysis: new financials, scenarios, DCF, peer comparison. Triggered after earnings releases or major corporate events.
INTERIM (SOFT) — Lightweight check on price, news, and material developments without re-running the full report. Used between deep-dives.
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AI-Powered · Buy-Side Quality · Instant Reports

Equity Research,
made effortless

Enter any publicly listed company. Our AI runs a full buy-side valuation — DCF, multiples, scenario analysis — and delivers a valuation assessment (Deeply Undervalued to Deeply Overvalued) with a price target.

Company name or ticker
⚡ Instant preview
11
Analytical Steps
3
DCF Scenarios
50+
Global Exchanges
AI
Powered
Not a chat prompt. 11-step structured framework, live market data, ongoing reviews.
Methodology

Buy-side rigour.
In five clean steps.

From a single ticker to a sourced, versioned valuation — without the chatbot guesswork.

01
Ask

Type a ticker, name, or ISIN. Global coverage — NYSE, LSE, Euronext, ASX, TSX and more.

AAPLNVDAMSFTGOOGL
02
Source

Live market data + targeted web search — every figure traceable to a primary source.

1
Live market data API
Real-time price · TTM ratios · audited financials
2
Web search
Earnings · regulatory filings · official sources
3
AI reasoning
Historical context · competitive dynamics
03
Model

The same 11-step buy-side protocol the platform runs live — every report, every time.

ANALYSIS · 11 STEPS 54%
Identifying company & sourcing filings
Analysing historical financials
Evaluating management & governance
Industry & competitive position
Key value drivers & risks
Building 5-year projections
Running DCF (bull / base / bear)
Comparable multiples
Sensitivity & scenarios
ESG & non-financial
Forming valuation
04
Verdict

A clear, sourced valuation pill — from Deeply Undervalued to Deeply Overvalued — with price target and margin of safety.

UNDERVALUED
Target
$240.00
MoS
+12.4%
05
Track

Every report is versioned. Compare drafts side-by-side and watch your thesis evolve.

Earnings Review · Q4 202525 Apr 2026 · $240.00
Earnings Review · Q3 202512 Feb 2026 · $228.00
Initial Coverage04 Nov 2025 · $215.00
Why IQEquity

Not another AI chatbot.
A research platform.

01
Live verified data, not training data
Generic AI draws from stale training data. IQEquity connects to live official sources every analysis.
02
Connected to real-time financial data via API
Prices, fundamentals, and filings pulled fresh at request time — not from model memory.
03
Structured format, every time
Same institutional buy-side framework: DCF, multiples, scenarios, moat, risks. Comparable, consistent, auditable.
04
Anti-hallucination by design
Every figure grounded in verifiable sources — not model weights. Data hierarchy enforces live data over AI recall.
05
Investment thesis lifecycle
Follow theses through interim updates and deep-dive reviews. Track how your conviction evolves over time.
06
Portfolio builder
Save research, allocate weights, and track simulated performance across all your investment ideas.

Type a ticker.
Get a report.

The fastest path from "what should I look at?" to a full, sourced valuation.

EquityIQ
AI Equity Research
Bear Case
Base Case
Bull Case
AI-generated analysis for informational purposes only. Not financial advice.
Always consult a qualified financial adviser before making investment decisions.
Equity
AI Equity Research
Valuation
Base Target
Margin of Safety
vs current price
Current Price
AI-generated · Not financial advice
Read full report →
Equity
AI Equity Research · Not Financial Advice
⚠ Marketing communication — not investment advice or a personal recommendation. Generic, AI-generated research for educational and informational purposes only; not tailored to your circumstances.
Valuation
Current Price
Base Target
Pub. Price / Perf.
Key Metrics
Investment Thesis
Price Targets
Bull Case Base Case Bear Case
DCF Assumptions
Financial Projections — Base Case
Year Revenue Growth EBITDA% EBITDA FCF
Competitive Moat Analysis
Key Risks
Key Catalysts
ESG Summary
Industry & Peers
Company P/E EV/EBITDA Div. Yield Rev. CAGR Mkt Cap
Peer multiples: live FMP data only. N/A where data is unavailable.
Data Sources & Methodology
Legal Disclaimer
This report is generated entirely by artificial intelligence and is for informational purposes only. It does not constitute financial advice, a personal recommendation, or an invitation to buy or sell any security. This service is not regulated by the FCA, SEC, or any financial authority. This is a marketing communication. It has not been prepared in accordance with legal requirements designed to promote the independence of investment research, and is not subject to any prohibition on dealing ahead of its dissemination. Valuation scale: DEEPLY UNDERVALUED = price >30% below intrinsic value · UNDERVALUED = 10–30% below · AT FAIR VALUE = within ±10% · OVERVALUED = 10–30% above · DEEPLY OVERVALUED = >30% above. Intrinsic value is an AI-modelled DCF estimate and may be materially incorrect. Data hierarchy: (1) Live financial market data API — real-time price, TTM ratios & margins, 3 years of audited annual financials [ground truth; always used where available] → (2) Web search — recent news, earnings releases & analyst estimates beyond training cut-off → (3) AI knowledge base — historical context, competitive dynamics & valuation methodology. Live market data always overrides AI-generated figures. AI-generated analysis may contain errors or outdated data. Always consult a qualified financial adviser before making investment decisions. We accept no liability for losses arising from reliance on this content.
Generated by IQEquity · AI-generated analysis · Not financial advice
Equity
Factsheet · AI Equity Research · Not Financial Advice
⚠ Marketing communication — not investment advice or a personal recommendation. Generic, AI-generated research for educational and informational purposes only; not tailored to your circumstances.
Valuation
Base Target
Margin of Safety
vs current price
Current Price
Publication Price
Key Metrics
P/E
EV/EBITDA
Div. Yield
FCF Yield
Industry · Peer Comparison
Ticker P/E EV/EBITDA Div. Yield
Scenarios — Bull · Base · Bear
Bull Case
Base Case
Bear Case
Investment Thesis
    Key Risks
      Competitive Moats
        Catalysts
          Financial Projection
          Year Revenue Rev. Growth EBITDA Margin EBITDA FCF
          Legal Disclaimer This report is generated entirely by artificial intelligence and is for informational purposes only. It does not constitute financial advice, a personal recommendation, or an invitation to buy or sell any security. This service is not regulated by the FCA, SEC, or any financial authority. This is a marketing communication. It has not been prepared in accordance with legal requirements designed to promote the independence of investment research, and is not subject to any prohibition on dealing ahead of its dissemination. Valuation scale. Data hierarchy. AI-generated analysis may contain errors or outdated data. Always consult a qualified financial adviser before making investment decisions. We accept no liability for losses arising from reliance on this content.
          AI-generated · Not financial advice · Always do your own research
          © 2026 IQEquity
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          A fully autonomous AI portfolio managed by IQEquity. Every trading day the system reads all active research, reassesses each position, and makes independent buy, hold, trim, or exit decisions. Benchmark: MSCI World (URTH).
          This portfolio is managed entirely by AI and is shown for informational and demonstration purposes only. It does not constitute financial advice or a personal recommendation. Past performance is not indicative of future results.
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          How It Works

          IQEquity is not a chatbot. It is a structured research engine that produces institutional-grade equity reports by combining live financial data, real-time web intelligence, and constrained AI reasoning.

          01 — Not a Chat Prompt

          Why this is different

          Asking an AI to "analyse Apple stock" produces generic, unverifiable text. IQEquity solves this with three architectural pillars:

          Live Data Injection
          Every analysis starts by fetching real-time prices, TTM ratios, 3 years of audited financials, and peer multiples from a live financial market data API. The AI cannot invent these numbers — they are injected as ground truth before reasoning begins.
          Anti-Hallucination Constraints
          The AI operates under strict rules: use live data as the primary source, output "N/A" for any unavailable metric instead of estimating, cite every figure's origin, and follow a fixed output schema. Financial ratios are overridden server-side with live values after generation.
          Structured Output
          The AI produces a strict JSON schema with defined fields — not free-form text. Every report has the same sections, the same metrics, the same structure. This makes results comparable across companies and over time.
          02 — Data Sources

          Three-tier data hierarchy

          Each analysis draws from three layers, applied in strict priority order. The AI is instructed to never override a higher-tier source with a lower one.

          • Tier 1 — Live financial market data APIReal-time price, market cap, TTM ratios, margins, peer multiples, DCF inputs, and 3 years of audited annual financials. These are ground truth — the AI must use them as-is.
          • Tier 2 — Web search engineTwo targeted queries per analysis: recent earnings results and sector/regulatory developments. Prioritises official sources (company IR, regulatory filings, earnings releases) over financial media.
          • Tier 3 — AI knowledge baseBusiness model understanding, competitive dynamics, historical context, and valuation methodology for dimensions not covered by live data or web results.

          Every report lists which sources were used, with direct URLs for web results, so you can verify any claim.

          03 — The 11-Step Framework

          Every report follows the same protocol

          The AI works through each dimension in order before producing its final verdict. This enforces rigour — the conclusion must be traceable to the analysis, not the other way around.

          01Business Quality & Revenue Model
          02Competitive Moat Assessment
          03Management & Capital Allocation
          04Financial Health & Earnings Quality
          05Growth Runway & Market Sizing
          06Industry & Sector Dynamics
          07Intrinsic Value — DCF Model
          08Relative Valuation — Peer Comps
          09Scenario Analysis (Bull / Base / Bear)
          10Risk Assessment & Mitigants
          11ESG & Governance Review

          The final valuation verdict is one of five outcomes:

          DEEPLY UNDERVALUED UNDERVALUED AT FAIR VALUE OVERVALUED DEEPLY OVERVALUED
          04 — Ongoing Reviews

          Research that stays current

          Reports are not static. An automated nightly process monitors every active thesis and triggers updates when new information becomes available.

          Initial Report
          Full 11-step analysis with live data. Status: Active. A next review date is calculated based on the company's earnings calendar.
          Interim Review (~every 10 days)
          Lightweight news scan checks for material developments — earnings surprises, management changes, regulatory news. If found, interim notes are added to the report. No full re-analysis.
          Deep-Dive Review (after earnings)
          When new earnings data is available, a complete re-analysis runs with fresh financials. A new thesis version is created; the previous one is marked Concluded.
          Auto-Conclude
          If a thesis passes its review deadline with no active subscribers, it is automatically concluded to keep the research library current.
          05 — Portfolio Builder

          Build your allocation

          The Portfolio tab on your dashboard turns your research into a model portfolio.

          • Weight allocationAssign a percentage (0–100%) to each company you've researched. Adjustments are saved instantly.
          • Live total trackingA running total shows your allocated percentage, remaining cash, and flags if you exceed 100%.
          • Valuation contextEach row displays the company's latest valuation verdict alongside the allocation slider, so you size positions with the research in view.
          • Portfolio summaryAt a glance: total companies, how many have an allocation, and the cash remainder.

          All allocations persist across sessions and devices — analyse on desktop, review on mobile.

          Try it yourself

          Run a full analysis in under 90 seconds.

          Analyse a Company
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          Get notified when your tracked companies have material changes, earnings updates, or when an interim review detects significant developments.
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          Price performance since analysis date. Simulated in demo — connect to price API in production.
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          * Current prices are simulated in demo mode. In production, connect to a market data provider (e.g. Alpha Vantage, Polygon.io, Yahoo Finance API).
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          Toggle companies ON to make them available as Instant Preview chips on the landing page. Only Active / Under Observation reports appear.
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          Email Templates
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          5 transactional templates seeded by migration 021. Edit subject + body to update copy live (no redeploy).
          Placeholders use Mustache syntax: {{first_name}}, {{plan_name}}, etc. — substituted by the worker at send time.
          Automatic Weekly Refresh
          In production, a scheduled job (cron / Supabase Edge Function / Vercel Cron) runs every Monday at 06:00 UTC. It re-runs the analysis prompt for every company in the cache, saves the new result, and triggers email alerts to subscribers. Below you can manually trigger a refresh for testing.
          Refresh Configuration
          ScheduleEvery Monday 06:00 UTC
          Email ProviderSendGrid (configure API key)
          Last Auto-RefreshNever
          Companies in Queue0
          Production Setup Guide
          1. Deploy backend (Node.js / Python / Supabase Edge Functions)
          2. Set environment variables: ANTHROPIC_API_KEY, SENDGRID_API_KEY
          3. Configure cron job: 0 6 * * 1 → POST /api/refresh-all
          4. /api/refresh-all loops cached companies, calls Claude API, saves results, triggers emails
          5. Replace localStorage in this frontend with your API endpoints
          6. Add Supabase Auth or JWT for admin route protection

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