Liquidity engine
    1.
    发明授权

    公开(公告)号:US11900448B2

    公开(公告)日:2024-02-13

    申请号:US17382089

    申请日:2021-07-21

    Applicant: STRIPE, INC.

    CPC classification number: G06Q40/02 G06N5/04 G06N20/00 G06Q40/04

    Abstract: A method and apparatus for managing liquidity when processing transactions are disclosed. In some embodiments, the method is implemented by a computing device and comprises: receiving data for a plurality of transactions; continuously reading in and aggregating, with an aggregator implemented at least partially in hardware of the computing device, transactions to produce one or more netted currency positions based on a plurality of properties of the transactions and on a plurality of netting constraints; generating one or more tasks, using a trade generator implemented at least partially in hardware of the computing device, to route cash movements as one or more batched fund transfers based on one or more trading policies; and sending the one or more tasks via network communications to one or more entities to execute the batched fund transfers.

    LIQUIDITY ENGINE
    2.
    发明申请

    公开(公告)号:US20230021606A1

    公开(公告)日:2023-01-26

    申请号:US17382089

    申请日:2021-07-21

    Applicant: STRIPE, INC.

    Abstract: A method and apparatus for managing liquidity when processing transactions are disclosed. In some embodiments, the method is implemented by a computing device and comprises: receiving data for a plurality of transactions; continuously reading in and aggregating, with an aggregator implemented at least partially in hardware of the computing device, transactions to produce one or more netted currency positions based on a plurality of properties of the transactions and on a plurality of netting constraints; generating one or more tasks, using a trade generator implemented at least partially in hardware of the computing device, to route cash movements as one or more batched fund transfers based on one or more trading policies; and sending the one or more tasks via network communications to one or more entities to execute the batched fund transfers.

    MACHINE LEARNING MODEL TO ESTIMATE NETWORK COSTS

    公开(公告)号:US20210383260A1

    公开(公告)日:2021-12-09

    申请号:US17339336

    申请日:2021-06-04

    Applicant: Stripe, Inc.

    Inventor: Qi Zhang

    Abstract: The subject technology generates training data based at least in part on reporting data from a card network. The subject technology trains a machine learning model based on the training data. The subject technology determines, using the machine learning model, a fee description for a transaction. The subject technology determines a variable rate and a fixed amount based at least in part on the fee description. The subject technology determines at least one cost based at least in part the variable rate and the fixed amount for each transaction from a set of transactions. The subject technology evaluates at least one result against second reporting data. The subject technology provides, for display, the at least one cost and the at least one result on a display of a client device.

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