Research Area
Methodology Notes
Location Intelligence for Public Companies
How site-level mobility, store networks, and physical footprint changes can inform revenue forecasting and company monitoring.
Corteqx Research
Research built on real-world market signals
Corteqx Research explores how physical-world data, company operations, alternative signals, and market events can be transformed into structured intelligence for investors, analysts, and operators.
Institutional researchSignal validationAlternative data
Research focus
Research focus areas
We investigate how fragmented real-world signals can become measurable market context. Each research area is designed to connect operational reality with financial outcomes.
Signal lab
Location Intelligence
How company sites, store networks, warehouses, suppliers, and foot traffic patterns reveal operational change before it appears in financial reports.
Store expansionFoot traffic shiftsSite-level activity
Site delta +18%
Signal lab
Supply Chain & Infrastructure
How ports, logistics hubs, transport routes, suppliers, weather, and disruptions affect company operations and sector-level risk.
Port congestionSupplier exposureTransport delays
Port
Hub
Route
Supplier
Signal lab
Event & Report Intelligence
How quarterly reports, IPOs, filings, guidance changes, and corporate events can be compared with external real-world evidence.
Earnings narrativesIPO timelinesGuidance changes
Narrative
Evidence
Signal lab
News & Global Signals
How chaotic news, macro events, local incidents, and sector-specific developments can be structured into machine-readable market signals.
Entity extractionEvent detectionSentiment context
Entity extractionlinked
Event detectionlinked
Sentiment context+0.41
Research methodology
From hypothesis to validated signal
Corteqx research starts with a market question, connects relevant data sources, tests whether the signal is measurable, and turns the result into reusable intelligence.
01
Market hypothesis
Define the company, sector, or event being investigated.
02
Signal mapping
Identify relevant physical, financial, news, and operational data sources.
03
Entity linking
Connect signals to companies, locations, suppliers, events, and timelines.
04
Validation
Compare signals against market outcomes, reports, and historical behavior.
05
Research output
Convert validated insights into dashboards, datasets, models, or reports.
Research library
Featured research
Selected research themes and case studies from the Corteqx intelligence system.
Library status
Research pipeline active
In Development
Case Study
Alternative Data for Equity Research
How non-traditional data streams can be integrated into institutional investment workflows.
Alt source
Entity graph
Desk output
In Development
Research Theme
Supply Chain Risk Signals
How logistics nodes, supplier regions, port activity, and disruption events can be transformed into company-level risk indicators.
SupplierPortRouteCompany
Research Area
Signal Study
Weather, Traffic & Demand
How environmental and mobility patterns can explain operational changes across retail, logistics, and physical businesses.
Planned
Methodology Notes
Earnings Narratives vs Ground Truth
How management commentary, guidance, and quarterly reports can be compared with external real-world signals.
Guidance
Signals
Planned
Case Study
IPO & Market Event Intelligence
How filings, listing timelines, lockups, sector context, and market events can be monitored as structured intelligence.
Filing
Listing
Lockup
Research layer
A research layer for the real world
Corteqx Research connects physical infrastructure, company entities, market events, and external signals into one testable intelligence layer.
Signal library
Signals used in research
Research outputs are built by combining multiple signal layers rather than relying on a single dataset.
Active layers
15 signal types
Company locations
Store networks
Warehouses
Suppliers
Ports
Traffic
Weather
Mobility
News
Quarterly reports
IPO filings
Market data
Events
Satellite/sensor signals
Macro context
Research desk
Custom research workflows
Use Corteqx to design company-specific, sector-specific, or event-driven research workflows using real-world intelligence signals.
Company-specific monitoringSector signal studiesCustom data workflows
Signal design
workflow draft
Companies72%
Sources58%
Outputs84%