visibility DASHBOARD METHODOLOGY

How the Market Intelligence Dashboard Works

See how our Market Intelligence Dashboard transforms events into actionable patterns using rigorous statistical analysis and AI-powered detection.

This page explains the methodology behind pattern detection, anomaly scoring, and multi-signal intelligence specifically for the dashboard analytics. Fundz's complete platform includes 325,000+ total events with historical data going back years.

5
Event Types Monitored
Funding, Hiring, Products, Contracts, Acquisitions
Real-time
Event Processing
AWS Lambda processes events as they occur
Thousands
Events Analyzed
In 90-day rolling analysis window
90-day
Rolling Baselines
3-month historical comparisons

The Market Intelligence Dashboard analyzes events from multiple data sources including company announcements and regulatory filings to detect patterns across your watchlist.

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Company Announcements

Press releases, news, and public company announcements parsed for key business events.

check_circle AI-extracted intelligence via GPT-4o
check_circle Real-time processing via AWS Lambda
check_circle Structured data in PostgreSQL JSONB
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Regulatory Filings

Official regulatory filings including SEC 8-Ks, parsed for material business events.

check_circle Captures unreported executive changes
check_circle Detects debt restructuring patterns
check_circle Material events within 4 business days

5 Event Types We Monitor

💰
Funding
Series A, B, C rounds
👔
Executive Hiring
C-suite appointments
🚀
Product Launches
New features, platforms
📋
Contracts
Major deals, partnerships
🤝
Acquisitions
M&A activity

Fundz identifies unusual patterns by comparing recent activity to historical baselines. When activity surges beyond expected levels, we flag it as an anomaly worth investigating.

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Real Example: Executive Change Surge

How we detected 3x above-normal activity

Historical Baseline
26
changes in prior 60 days
= 0.43 changes/day
Expected (30 days)
13
0.43 × 30 days
Actual (30 days)
39
detected events
3.0x baseline 🚨
Detection Formula
historical_rate = events_in_prior_60_days / 60
expected = historical_rate × current_timeframe
multiplier = actual / expected
IF multiplier ≥ 2.0 → FLAG AS ANOMALY

Anomaly Threshold Levels

3.0x+
Critical Anomaly
Activity 3x or more above baseline
2.0-2.9x
Significant Pattern
Noteworthy surge above historical average
<2.0x
Normal Variation
Within expected statistical fluctuation

We use a 90-day rolling window to establish historical baselines, then compare recent activity (7, 30, or 90 days) against expected values.

3-Month Rolling Analysis Window

90 days ago Today
Historical Baseline (60 days)
Recent (30 days)
How It Works:
  1. Establish baseline: Count events in days 31-90 (60-day window)
  2. Calculate daily rate: historical_count / 60 days
  3. Project expected: daily_rate × 30 days
  4. Compare to actual: recent_count / expected = multiplier
  5. Flag anomalies: If multiplier ≥ 2.0x, surface as pattern

Companies showing multiple event types simultaneously signal major organizational momentum. We track combinations of funding, hiring, product launches, contracts, and acquisitions.

1

Single Signal

Example: Funding Only
Company raised Series B

Interpretation: Positive signal, but limited context. Could be defensive funding, replacement capital, or genuine growth.

⚠️ Moderate Priority
3+

Multi-Signal

Example: 3 Signals
💰 Series B funding
👔 VP of Sales hired
🚀 Product launch announced

Interpretation: Clear growth trajectory. Capital deployed strategically across revenue expansion and product development.

✅ High Priority

SEC 8-K filings reveal events companies are required to disclose but often don't publicize. By analyzing combinations of 8-K items, we detect patterns competitors miss.

Why SEC 8-Ks Are Powerful

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60-70% of events never get press releases
Executive departures, contract terminations, debt restructuring—all in 8-Ks but rarely announced publicly.
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Legally required within 4 business days
Material events must be disclosed promptly, giving you early signals before competitors notice.
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Combination patterns reveal strategic shifts
Debt + executive changes = turnaround mode. Multiple 8-Ks in a week = crisis.
👔

Sales Professional

Scenario: SaaS sales rep targeting growth-stage companies
Fundz detects: Company raised $20M Series B, hired VP Sales, launched enterprise tier
Outcome: Rep reaches out within 48 hours with perfect timing
💼

VC Investor

Scenario: Early-stage investor monitoring fintech sector
Fundz detects: 12 fintech CFO departures in 30 days (3x baseline)
Outcome: Investor spots sector stress before market
📊

Strategic Consultant

Scenario: M&A consultant tracking acquisition targets
Fundz detects: 3 8-Ks in one week: debt, CFO change, contract loss
Outcome: Flags company as distressed asset opportunity

Ready to experience the difference?

Fundz combines real-time event intelligence with rigorous statistical analysis to give you the market's clearest signals.

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