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    M1 Money Stock | FRED

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    Sold by: Rearc 
    Deployed on AWS
    This release contains information on M1, which involves funds that are accessible for spending. To calculate seasonally adjustable M1, you sum up currency, traveler's checks, demand deposits, and OCDS, with each seasonally adjusted separately.

    Overview

    The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-m1-money-stock .

    Main Overview

    This release contains information on M1, which involves funds that are accessible for spending. To calculate seasonally adjustable M1, you sum up currency, traveler's checks, demand deposits, and OCDS, with each seasonally adjusted separately.

    The included data is provided by the Federal Reserve Bank of St. Louis' FRED (Federal Reserve Economic Data) platform, which contains information on over 700,000+ series related to historical economic data. If you are interested in learning more or want to explore other datasets maintained on FRED, visit the FRED homepage .

    Data Source

    This resource is presented in both the XLS and CSV formats. The included dataset contains the following columns:

    date, M1

    The M1 column represents billions of dollars of M1 at the time of the corresponding date.

    More Information

    Contact Details

    • If you find any issues with or have enhancement ideas for this product, open up a GitHub issue  and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated :heart:.
    • If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here .
    • If you have questions about the source data, please contact .
    • If you have any other questions or feedback, send us an email at data@rearc.io .

    About Rearc

    Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.

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    Pricing

    M1 Money Stock | FRED

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    AI Insights

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    Dimensions summary

    This listing offers one pricing dimension: Product Access (Units). It grants you access to the M1 Money Stock dataset at no cost. There are no tiers, usage-based charges, or add-on options to choose from. The single dimension covers full access for subscribers. Because the product is free, the pricing structure does not scale with usage, quantity, or term. You subscribe once and consume the published dataset.

    Top-of-mind questions for buyers

    It grants you subscriber access to the M1 Money Stock dataset. The vendor sources the data, transforms it, and publishes it for consistent consumption. You receive the published dataset without managing the acquisition or processing work yourself.
    No. The single Product Access dimension is free and carries no usage-based charges. Cost does not scale with the amount of data you consume, the number of queries you run, or how many people access it. Nothing in the pricing structure triggers a charge.
    The vendor owns the life cycle for the published dataset. They source it from the original public data provider, transform it, and republish it so subscribers consume it in a consistent form. You focus on analysis rather than acquiring or updating the underlying data.
    www.rearc.io
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    Refunds Not Applicable

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    Delivery details

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    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    M1 Money Stock | FRED
    All historical revisions
    All future revisions
    Not included
    Not included

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