Macrobond
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 Macrobond
Macrobond is a financial research platform focused on accessing, analyzing, and visualizing macroeconomic and financial time-series data. It is used by economists, strategists, and analysts in asset management, banking, and corporate research to build charts, dashboards, and recurring reports. The product combines a curated data library with tools for time-series transformations, charting, and integration into common workflows such as Excel and presentation/report outputs.
Strong macro time-series coverage
Macrobond is designed around macroeconomic and financial time-series workflows, including searching, comparing, and transforming series across countries and providers. It supports common economist/strategist tasks such as rebasing, growth rates, seasonal adjustments (where available), and index construction. This focus can reduce time spent stitching together series from multiple sources when compared with more general business information tools.
Efficient charting and reporting
The platform emphasizes fast creation of publication-ready charts and tables for recurring research outputs. Users can apply templates and standardized formatting to keep visuals consistent across teams. This is useful for producing regular market notes, presentations, and internal dashboards without rebuilding charts from scratch.
Workflow integrations for analysts
Macrobond is commonly deployed alongside spreadsheet and presentation-centric workflows, with tooling intended to move data and visuals into analyst deliverables. It supports repeatable updates so charts and tables can refresh as underlying data updates. This can be advantageous for teams that need a controlled process for distributing the same set of indicators over time.
Primarily macro-focused scope
Macrobond’s core strength is macro and time-series research, which may not cover all needs for company fundamentals, private market intelligence, or broad news/discovery use cases. Teams that require deep entity-level datasets or alternative data may need additional systems. As a result, it may not serve as a single platform for all financial research functions.
Learning curve for power features
Time-series transformations, metadata conventions, and standardized charting workflows can require training to use effectively. New users may need time to understand series definitions, provider differences, and best practices for building reusable templates. Organizations often need internal governance to ensure consistent usage across analysts.
Cost and licensing complexity
Enterprise data platforms typically involve per-user licensing and potential add-on costs tied to specific data packages. Budgeting can be complicated when different teams require different datasets or entitlements. This can be a constraint for smaller firms or groups with variable, short-term research needs.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Enterprise / Custom | Contact sales — no public pricing published | Pricing and quantities are specified in an Order Form; fees are billed annually in advance and are non-cancellable/non-refundable; Macrobond may increase fees by 5% annually; trial availability typically governed by a Trial Agreement (see notes). |
Seller details
Macrobond Financial AB
Malmö, Sweden
2008
Private
https://www.macrobond.com/
https://x.com/macrobond
https://www.linkedin.com/company/macrobond/
