Tiingo
Financial research software
Financial services software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Tiingo
Tiingo is a market data platform that provides APIs and downloadable datasets for equities and other financial instruments. It is primarily used by developers, quantitative researchers, and analysts to source historical and near-real-time pricing data for research, backtesting, and data-driven applications. The product emphasizes programmatic access (REST/WebSocket) and data delivery suitable for integration into internal tools and workflows.
Developer-friendly market data APIs
Tiingo focuses on programmatic access to market data through APIs, which fits teams building models, dashboards, or automated workflows. The service supports common developer patterns such as token-based authentication and structured responses for ingestion into data pipelines. This orientation can reduce reliance on GUI-first research terminals when the primary need is data access and integration.
Historical data for research
Tiingo provides historical pricing datasets that support quantitative research and backtesting use cases. Users can pull time series data in a consistent format for analysis across multiple tickers and time ranges. This is useful for teams that need repeatable data retrieval rather than manual exports from research interfaces.
Multiple delivery options
Tiingo offers data access via API endpoints and dataset downloads, enabling different operational approaches (ad hoc queries vs. bulk ingestion). This flexibility supports both interactive analysis and scheduled ETL jobs. It can be practical for organizations that want to store data internally for performance, governance, or reproducibility.
Limited narrative research tooling
Tiingo is primarily a data delivery service rather than a full financial research workstation. It does not typically replace platforms centered on document search, expert transcripts, or deep company intelligence workflows. Teams needing integrated qualitative research and collaboration features may require additional tools alongside Tiingo.
Coverage and fields vary
Instrument coverage, data fields, and latency characteristics depend on the specific Tiingo dataset and plan. Some users may need additional vendors for specialized asset classes, fundamentals, ownership, estimates, or alternative datasets. Evaluations often require validating symbol coverage, corporate actions handling, and field completeness for the intended strategy.
Requires engineering integration effort
Tiingo’s value is realized through integration into codebases, notebooks, or data platforms, which can add implementation overhead. Users must handle data normalization, storage, and quality checks within their own environment. Organizations without technical resources may find GUI-centric research products easier to adopt.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Starter | $0 (Starter — permanently free) | Access to Tiingo API and most platform features with usage limits (blog/KB describe limits such as request/hour and unique-symbol/month caps). cite |
| Power | Not publicly listed on Tiingo website (see notes) | Paid tier called “Power” with higher quotas, unlimited saved screens, longer queryable news history (e.g., 3 months by default with options for much longer), and limited support compared to higher tiers. Official Tiingo pages reference the Power plan but do not show a public price on the pages located. cite |
| Enterprise / Bespoke | Contact sales / Custom pricing | Tiingo references Start-up, Enterprise, and Bespoke plans for larger customers with phone support and prioritized responses; pricing is custom and requires contacting Tiingo. cite |
Seller details
Tiingo, Inc.
San Francisco, CA, USA
2014
Private
https://www.tiingo.com/
https://x.com/tiingo
https://www.linkedin.com/company/tiingo/
