Product targeting hedge funds and investment managers for market timing and stock selection
Est. Price
~$50,000/yr est.
Update Frequency
—
Pricing Tiers
1
Regions
—
Quality SignalsC
Freshness
Recently enriched
Complete
56%
API
No API
Product Overview
Consumer Transaction Data$$$$
Offering: Anonymized debit and credit card transaction datasets and spending indices for retail performance tracking and market share analysis.
Best for: Hedge funds and retail strategists building quantitative models for same-store sales and consumer spending trends.
Benefits
- High-frequency daily data updates
- Direct integration via Databricks
- Granular visibility into debit and alternative payment channels
- Proprietary visualization and analytics platform
Drawbacks
⚠ Limited to United States market coverage · ⚠ Higher price point compared to specialized consumer spending peers · ⚠ Lacks global or cross-border transaction insightsProduct Intelligence
Try-ability
35
ease of trial
Product Details
Use Cases
Market timingstock selectionretail performance trackingconsumer spending analysiscompetitive benchmarkinginvestment strategy optimization
Delivery
Databricks
Data Sources
credit card transactions
Detected Use Cases
competitive intelligence
Pricing Tiers
Vedex estimate
~$50,000/yr est.
SUBSCRIPTIONMEDIUM
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$50,000/yr est.
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Data Dictionary
Expected fields and columns in this data product
About Investment Signals Dataset
Investment Signals Dataset is an alternative data product offered by Facteus, available on discovery. Vedex estimates pricing at roughly $50,000/yr (an estimate, not a vendor-published price).
Product targeting hedge funds and investment managers for market timing and stock selection
About Facteus
Facteus is a data provider vendor based in USA. Overview This free data listing offers a preview of Facteus Cube’s spend insights in 2024 specifically for the health and beauty retail sector. Built on aggregated and anonymized consumer transaction ...