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March 18, 2025

Financial Data API: Small and Mid-Caps

Autor:
Bavest
Engineering
Financial Data API: Accurate data for Small- Mid-Cap Companies

The financial world is data-driven. Anyone who wants to make well-founded investment decisions depends on high-quality and reliable financial data. While information on large-cap companies is widely available, investors and analysts often encounter significant difficulties with small and mid-cap companies. These companies are less frequently represented in comprehensive research reports, their data is more dispersed and difficult to access. Bavest's financial data API fills this gap and provides a scalable, accurate, and easy-to-integrate solution for analysts, asset managers, fintechs, and family offices.

The Challenge: Small and Mid-cap Data is Difficult to Access

Small and mid-cap companies offer attractive investment opportunities. Due to their lower market capitalization, they are often subject to higher growth dynamics than large caps. At the same time, the density of information about these companies is significantly lower.

Lack of coverage from traditional data providers

Most big data providers are focusing on large caps, as these companies are of interest to institutional investors and the general public. Analyst reports, financial forecasts and research publications therefore primarily cover these companies. Small and mid-caps are often left out, especially if they are not listed on major international stock exchanges.

Heterogeneous and fragmented data

Even when data is available, there are often problems with its homogeneity and quality. Small-cap financial reports often have different reporting standards, and macroeconomic data about these companies is fragmented. Manually cleaning and aggregating this data requires a great deal of effort, which is inefficient for analysts.

Costs and access restrictions

Many high-quality financial data sources are either unaffordable or difficult to access. This represents a significant hurdle, especially for smaller asset management companies, family offices or fintechs that focus on innovative investment strategies.

Bavest API: A comprehensive Solution for Small and Mid-Cap Data

Bavest's financial data API was developed to solve exactly these challenges. It provides direct access to a wide range of high-quality financial data that is specifically optimized for small and mid-cap analyses.

High-quality financial figures and market data

The API provides a variety of relevant data points, including:

  • Fundamental data: Profit and loss statement, balance sheet, cash flow statement
  • Market prices and historical price data: Time series analyses for precise modelling
  • Macroeconomic indicators: Influencing factors such as inflation, interest rates, economic forecasts
  • Alternative data sources: Sentiment analyses, ESG data, CO2 and greenhouse gas data, news evaluation, social media and corporate communication
  • AI-based estimates of financial figures: Automated forecasts for revenue, EBITDA, and profit

Consistent and standardized data formats

A uniform data structure reduces the complexity of the analysis. Analysts can easily integrate the API with their existing systems, whether for quantitative models, portfolio management systems, or internal research platforms.

Low latency and real-time data processing

Modern financial analyses require data in real time or with as few delays as possible. Bavest's API offers low latency and can be easily integrated into high-frequency trading models or real-time monitoring systems.

Bavest API: Use Cases

The versatility of the API enables numerous use cases for various players in the capital market.

1. Neobroker: real-time market data for retail investors

Neobrokers need high-quality real-time data to provide customers with accurate and transparent trade information. Bavest's API gives neobrokers access to in-depth small and mid-cap data as well as ESG and sentiment data to enable sustainable and informed trading decisions.

2. Banks: Research and analysis tools for investment departments

Investment banks can use the API to create detailed market analyses. It supports research teams in evaluating small-cap stocks and enables in-depth industry analyses to identify market trends. In addition, ESG indicators and CO2 data can be used to make sustainable investment decisions.

3. Quantitative portfolio analysis: data-driven investment strategies

Quantitative funds and hedge funds benefit from structured and clean financial data for their mathematical models. The API provides historical and current financial data that is essential for developing and optimizing quantitative trading strategies. AI-based estimates also enable more precise forecasts and risk models.

4. Internal tools for asset managers: Efficient portfolio management

Asset managers can use the API to improve internal tools for portfolio analysis, risk management, and performance tracking. By integrating current small and mid-cap data as well as CO2 and greenhouse gas data, asset managers can make more informed decisions regarding sustainable investments.

5. Social trading: Profound data for collaborative investments

Social trading platforms enable investors to share investment strategies and learn from each other. By integrating the Bavest API, users can benefit from valid financial data to make well-founded investment decisions and minimize incorrect decisions. Sentiment data from news and social media sources also helps to better assess market trends.

6. Family Offices: Hidden Champion Investments

Family offices are often looking for little-noticed but potentially profitable companies. The Bavest API provides comprehensive analyses and financial figures to identify hidden champions in the small and mid-cap segment and optimize long-term investment strategies. ESG data plays a decisive role here in sustainable and value-oriented investments.

7. Financial education: Smart tools for knowledge transfer

Financial education platforms can use the API to give investors access to real market data. This promotes practical learning methods by enabling students and private investors to understand real financial figures, ESG data and sentiment analyses.

Scalability and Technical Integration

Bavest's financial data API is specifically designed for easy integration and high scalability.

Easy implementation

Thanks to modern RESTful API architecture, the interface can be integrated into existing systems in a very short time. The clear documentation and SDKs for various programming languages such as Python, R and Java make it easy to connect.

Customizable data queries

Analysts can specifically query specific companies, regions, or sectors. This reduces the amount of data and improves performance, particularly for data-intensive analyses.

Safety and availability

Data integrity and security are essential factors for every financial application. The Bavest API offers high availability and uses encryption technologies to protect sensitive financial data from unauthorized access.

Conclusion: Accurate Financial Data as the Key to Better Investment Decisions

Analyzing small and mid-cap companies is particularly challenging as many traditional data sources are inadequate. The Bavest Financial Data API offers a powerful and flexible solution that enables analysts, asset managers and fintechs to efficiently use high-quality financial information.

The combination of comprehensive fundamental data, alternative data sources and technical scalability makes the API an indispensable tool for anyone who wants to make data-driven investment decisions. Especially in times of volatile markets and new regulatory requirements, structured and reliable access to financial data offers a decisive competitive advantage.

Use the Bavest financial data API to take your investment analytics to the next level — with data access that was otherwise only available to institutional investors.

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