Frequently Asked Questions
A growing list of questions and answers from our budding community.
Chart Usage and Functionality
What can I do with the charts on this site?
Our charts are versatile tools for your data visualization needs. You can use them to quickly answer questions, confirm your own data, or enhance your presentations, whether they're in emails, blogs, newsletters, or documents. Additionally, exploring our charts may inspire your own data visualizations and introduce you to new data sources for future projects.
Can I search for different charts?
Currently, we're expanding our collection daily and plan to implement a dedicated search feature once we reach a library of 5000 charts. Although we might not have the specific chart you're looking for right now, please let us know your needs, and we'll prioritize its creation.
Are the charts on Dealcharts.org customizable?
While our current offering primarily includes fixed-format charts, we are providing prompts on the site to help users customize charts according to their specific needs. These prompts allow for modifications such as adjusting scales, changing color schemes, or refining data points. This functionality not only enhances user control but also serves as one of the building blocks for agentic systems, where AI can interpret and act on user intentions. We aim to expand these capabilities further to support more dynamic and AI-driven customization options in the future.
Can I request a specific type of chart that isn't currently available?
Absolutely! We welcome requests for specific charts. This feedback is invaluable as it helps us tailor our offerings to meet user needs more effectively. Please reach out to us with your requirements, and we will do our best to accommodate your request or guide you on how it can be achieved using our existing tools.
Technical Details
What format are your charts when I download them?
Our charts are primarily available in SVG format, offering high flexibility for resizing without loss of quality. We are planning to include additional formats like PNG, JPEG, and GIF to accommodate more user preferences in the future.
How did we make these charts?
We utilize QuickChart, a robust tool that leverages Chart.js technology, to generate our charts. This allows us to create detailed and accurate visual representations of data efficiently.
What sources do you use for the data in these charts?
Our charts are built using a variety of reputable data sources, ensuring accuracy and relevance. We meticulously curate data from public datasets, licensed data pools, and partnerships with industry-leading data providers, particularly in the fields of Capital Markets and Structured Finance.
How often is the data behind the charts updated?
The frequency of data updates varies by chart, depending on the source and the nature of the data. Some of our charts are updated in real-time, while others may have daily, weekly, or monthly updates. We strive to provide the most current data available to ensure the relevance and accuracy of your analyses.
Customization and User Preferences
What if I don't like the colors of a chart?
We're currently developing more customizable options, including a range of color palettes to better suit your preferences. Your suggestions are welcome as they help us improve and cater to diverse aesthetic tastes.
Is there a limit to how many charts I can download?
Currently, there is no limit to the number of charts you can download from our site. We encourage users to explore and utilize our resources as extensively as needed to support their projects and presentations.
Platform Objectives and Philosophical Approach
Why does Dealcharts.org exist?
Dealcharts.org was created to bridge the gap between data consumers and producers, particularly in sectors like Capital Markets, Real Estate, Alternative Data, and Venture Capital. By leveraging metadata-first principles, our goal is to democratize data access and organize information in a way that enhances both human understanding and AI-driven analysis. This approach encourages innovation based on data utilization rather than data availability, empowering teams to build solutions that are future-ready, including AI-based agentic systems. The platform also serves as an experimental hub for new ideas and techniques in data visualization, laying the groundwork for bespoke data solutions tailored to specific industry needs.
What is a metadata-first strategy, and how does it power Dealcharts.org?
A metadata-first strategy prioritizes the organization and analysis of metadata, or data about data, to enhance information accessibility and usability. At Dealcharts.org, we leverage this approach to systematically catalog and index data, enabling more efficient searches, better data relationships, and clearer insights, all of which power the accurate and dynamic charts you find on our platform.
How does CMD+RVL's approach to metadata transform the way businesses can use data?
CMD+RVL utilizes metadata to create a cohesive data ecosystem that clarifies and connects various data elements across an enterprise. This transformation allows businesses to access and analyze their data more effectively, driving trustworthy data-driven decision-making and uncovering previously hidden commercial opportunities.
What is a data product, and why is every chart on Dealcharts.org considered one?
A data product is any output created from data that can independently provide value through actionable insights. Each chart on Dealcharts.org is designed as a data product, meaning it not only visually represents information but also serves as a practical tool for decision-making, trend analysis, and strategic planning. This approach ensures that every piece of data we present is both informative and directly applicable to your business needs.
How does leveraging a data product mindset influence the development of new features at Dealcharts.org?
Adopting a data product mindset encourages us to continuously innovate and refine our offerings, ensuring that each new feature or chart provides tangible benefits to our users. This perspective drives our development process, focusing on scalability, user engagement, and the practical application of data to solve real-world problems.
Community and Collaboration
How can I contribute?
We welcome contributions from all interested parties — whether you're a creator, a consumer, or somewhere in between. If you're working in AI or developing agentic systems, we encourage you to reach out to discuss potential collaborations. Our metadata-first approach and curated data resources are perfectly aligned with the needs of AI-driven applications. Additionally, we are in the process of developing a dedicated page that will detail the various ways you can get involved with Dealcharts.org. Stay tuned for more information!
How does CMD+RVL ensure the quality and reliability of its data products?
At CMD+RVL, we maintain rigorous standards for data quality and reliability by implementing robust governance practices and continuous improvement processes. This involves regular audits, feedback loops, and updates that ensure our data products remain accurate, relevant, and valuable to our users.
Educational and Support Resources
Do you offer any educational resources on how to interpret these charts?
Yes, we are committed to enhancing data literacy among our users. We offer tutorials and guides on how to interpret charts and use data effectively in our Discord community and through our Substack newsletter. These resources aim to help users not only understand the data but also apply insights practically in their own industries.
Are there any tools or tips for integrating these charts into my own reporting tools?
We provide several integration options for incorporating our charts into various reporting tools and platforms. Our charts in SVG format can be easily embedded in most software applications, including enterprise solutions. Additionally, we offer API access for more advanced integrations, allowing seamless data flow between Dealcharts.org and other platforms.
Data Security and Privacy
What measures do you take to ensure the security and privacy of the data presented in the charts?
Security and privacy are paramount in our operations. We ensure that all data used in our charts complies with relevant data protection regulations, including GDPR and CCPA. We anonymize and aggregate data where necessary to prevent identification of individuals or sensitive business information, maintaining a high standard of data integrity and security.
AI and Agentic Development
How can Dealcharts.org data be used in AI and agentic systems?
Dealcharts.org’s metadata-first approach ensures that the data behind our charts is highly organized, accessible, and machine-readable. This makes it ideal for training AI models or integrating with agentic systems, where structured metadata enables more intelligent decision-making and automated workflows.
What makes Dealcharts.org a good resource for building agentic systems?
The charts and data on Dealcharts.org are designed to be consumable by both humans and machines. By focusing on metadata-rich content, we provide the foundational structure needed for AI systems to interpret data, draw connections, and act autonomously, making it an excellent resource for teams working on agentic systems.
Can the customization prompts on Dealcharts.org be leveraged in AI systems?
Yes, the customization prompts provided on Dealcharts.org are designed to be easily integrated into AI workflows. They demonstrate how metadata can guide AI agents to dynamically adjust chart parameters, such as color schemes, data points, or scales, based on user preferences or contextual needs.
How does metadata-first design support AI and machine learning applications?
Metadata-first design ensures that all data is well-structured, enriched with context, and optimized for discoverability. This is critical for AI and machine learning applications, as it allows models to ingest high-quality data, uncover relationships, and deliver actionable insights more efficiently.
Can AI agents use Dealcharts.org to identify trends in financial markets?
Yes, AI agents can leverage the structured metadata and curated datasets on Dealcharts.org to identify trends, assess risks, and even predict future patterns in financial markets. The organization of data by themes such as vintage year or asset class further facilitates targeted analysis.
Does Dealcharts.org provide APIs for integrating data into agentic systems?
We are exploring API solutions that will allow seamless integration of our data into AI and agentic systems. These APIs would enable developers to access metadata-rich datasets and dynamically generate insights for their applications. Stay tuned for updates on this feature.
How can Dealcharts.org help AI developers ensure data quality and reliability?
Dealcharts.org emphasizes metadata-first principles, which include rigorous data validation and enrichment processes. These practices ensure that the data powering our charts is accurate and reliable, providing a strong foundation for AI developers to build trustworthy models and applications.
What role does metadata play in training AI models with Dealcharts.org data?
Metadata provides essential context and structure to the data, enabling AI models to better understand relationships and patterns. Dealcharts.org’s metadata-rich design ensures that data is not only machine-readable but also optimized for training models that require high-quality, well-organized datasets.