Our Core Commitment
Dislocation is built on a foundation of data integrity. We only use data that has been properly licensed, legally obtained, and ethically sourced. We do not scrape, steal, or misappropriate data. Every data point in our system has a clear provenance and licensing trail.
1. Licensed Data Sources
Our platform integrates data exclusively from licensed, institutional-grade providers:
Market Data Providers
Bloomberg, Refinitiv, FactSet, S&P Capital IQ - Real-time and historical market data under enterprise licensing agreements.
Regulatory Filings
SEC EDGAR, XBRL feeds - Public filings accessed through official government APIs and licensed data feeds.
Fundamental Data
Calcbench, Intrinio - Structured financial statement data under commercial licenses.
Private Markets
PitchBook, Preqin, CB Insights - Private company and alternative asset data under institutional subscriptions.
Alternative Data
Quandl, Thinknum, YipitData - Alternative datasets obtained through proper licensing and vendor agreements.
2. Data We Do NOT Use
Dislocation explicitly prohibits the use of:
- Scraped Data: We do not scrape websites, social media, or any other sources without explicit permission
- Material Non-Public Information (MNPI): We have strict policies against using insider information
- Personal Data Without Consent: We do not collect or process personal data beyond what users provide
- Pirated or Stolen Data: We do not purchase or use data from unauthorized sources
- Data Violating Terms of Service: We respect and comply with all vendor agreements
3. Data Governance
3.1 Data Provenance
Every dataset in our system is tagged with:
- Source identification and vendor details
- License type and permitted uses
- Acquisition date and refresh frequency
- Quality scores and validation status
3.2 Compliance Framework
Our data governance includes:
- Regular audits of data sources and usage
- Vendor due diligence and compliance verification
- Employee training on data handling policies
- Incident response procedures for data issues
4. Data Processing
4.1 Analysis Methods
Our analytical models process data using:
- Machine learning trained on properly licensed datasets
- Statistical methods applied to aggregated market data
- Natural language processing of public filings and disclosures
- Quantitative models built on fundamental financial data
4.2 Model Transparency
We maintain transparency about our analytical methods:
- Clear documentation of model inputs and outputs
- Confidence scoring with methodology explanations
- Human oversight at key decision points
- Regular model validation and backtesting
5. Data Security
We protect all data with:
- Encryption at rest and in transit
- Role-based access controls
- Audit logging of all data access
- Regular security assessments
- SOC 2 Type II compliance (in progress)
6. Vendor Relationships
We maintain strong relationships with our data vendors:
- Signed licensing agreements with all providers
- Regular compliance reviews with vendor requirements
- Usage within contracted limits and terms
- Prompt resolution of any licensing questions
7. Reporting Concerns
If you have concerns about our data practices or believe you've identified a data issue, please contact us immediately at data@dislocation.io. We take all reports seriously and will investigate promptly.
8. Updates to This Policy
We may update this Data Policy as our practices evolve or regulations change. Material updates will be communicated to users.