Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Systems, methods, and devices for high-throughput data ingestion from a plurality of disparate and independent sources, and decentralized normalization, storage, and analysis of ingested data. A system includes a shared permissioned ledger comprising a plurality of independent ledger instances. The system includes a processor in communication with the shared permissioned ledger, wherein the processor matches a plurality of data entries stored on the shared permissioned ledger that each pertain to a transaction between a first client and a second client. The processor determines whether each of the plurality of data entries agree with each other to a threshold degree regarding the transaction between the first client and the second client.

Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Partitioning data across shared permissioned database storage for multiparty data reconciliation. A system includes an execution platform comprising a plurality of processing nodes and a shared permissioned ledger comprising a plurality of ledger instances, wherein each of the plurality of ledger instances is assigned to one client of a plurality of clients, and wherein storage resources on the shared permissioned ledger are independently scalable from the plurality of processing nodes on the execution platform. The system includes a resource manager in communication with each of the execution platform and the shared permissioned ledger, wherein the resource manager comprises a data ingestion engine.

Abstract: Reconciliation and subscription-model permissions of data stored across independent ledger instances of a database. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The resource manager defines a settlement group comprising one or more client accounts and authenticates an observer node associated with the settlement group. The resource manager assigns ingested data an encryption level on a key hierarchy based on content of the ingested data.

Abstract: Analysis of data streams consumed by high-throughput data ingestion and partitioned across permissioned database storage. A system includes a resource manager coupled to a plurality of client accounts. The system includes an execution platform and a shared permissioned ledger comprising independent processing and storage nodes for executing data operations for the plurality of client accounts. The system includes a data ingestion engine comprising a plurality of node-specific ingestors and node-specific normalizers for consuming and normalizing data stream even channels pushed by the plurality of client accounts.

Abstract: Example analysis systems and methods are described. In one implementation, a system identifies a financial goal to be achieved and identifies financial account information associated with the financial goal. A plurality of insights are generated based on information from a plurality of data sources. A tool is implemented to generate at least one action based on the financial goal, the account information, and the insights. The system generates a recommendation based on the plurality of insights and the action, and automatically implements the recommendation to accomplish the financial goal.

Abstract: Example collateral optimization systems and methods are described. In one implementation, a collateral optimization system includes a data ingestion engine that receives information associated with a trade and a collateral optimization module configured to optimize collateral associated with the trade. The collateral can be optimized for yield maximization or cost minimization. An asset settlement engine moves assets between multiple counterparties associated with the trade.

Abstract: Example trade finance management systems and methods are described. In one implementation, a transaction management system receives information associated with a trade transaction between a seller and a buyer. The transaction management system defines at least one workflow to execute the trade transaction and creates a contract associated with the trade transaction. Further, the transaction management system collects signatures or video evidence that the seller and buyer confirm the contract and verifies the contract.

Abstract: Example transaction netting systems and methods are described. In one implementation, a financial management system receives information associated with multiple trades and calculates overall obligations and exposures by assets and counterparties. The financial management system further identifies multiple thresholds associated with the multiple trades and selects trades for a particular netting cycle which align with the overall bilateral netted obligations and exposures between counterparties.

Abstract: Example exotic currency settlement systems and methods are described. In one implementation, a financial management system receives information associated with an exotic currency trade and accesses a stochastic model. The financial management system predicts demand for an asset associated with the exotic currency trade at different times in the future based on the stochastic model. Additionally, the financial management system generates a pseudo ledger that suggests a liquidity supply for each entity associated with the exotic currency trade. Information is received regarding contracts entered into by the entities associated with the exotic currency trade, and the pseudo ledger is updated in response to execution of those contracts. The financial management system predicts a best path to perform back-to-back trades associated with the exotic currency trade.

Abstract: Example clearing systems and methods are described. In one implementation, a financial management system calculates an initial margin and a variation margin associated with a financial transaction and provides the initial margin and the variation margin to a workflow. The financial management system pledges securities associated with the initial margin to a central counterparty clearinghouse (CCP). If a futures commission merchant (FCM) is in deficit, the financial management system initiates a debit pull of the variation margin from the FCM. If the FCM has variation margin excess for a particular day, the financial management system initiates a credit push from the CCP to the FCM.

Abstract: Example financial settlement systems and methods are described. In one implementation, a financial management system identifies multiple trades between parties in a common network. The financial management system also identifies settlement rules associated with the common network and displays the multiple trades to the parties in the common network. Additionally, the financial management system receives an approval or dispute associated with at least one of the multiple trades from at least one party. The financial management system determines whether the received approval or dispute complies with the settlement rules and implements the received approval or dispute if it complies with the settlement rules.

Abstract: Example risk and liquidity management systems and methods are described. In one implementation, a financial management system identifies data associated with a plurality of events in a financial market in substantially real time. The financial management system analyzes the data associated with the plurality of events and, based on the analysis, determines a liquidity demand, a liquidity profile, and a risk profile associated with a particular financial institution. The financial management system then communicates the financial institution's liquidity demand, liquidity profile, and risk profile to the financial institution.

Abstract: Example data ingestion systems and methods are described. In one implementation, a financial management system identifies multiple financial orders, where each financial order is executed with one or more trades. The financial management system receives real time data associated with the trades and aggregates the real time data. The financial management system also identifies settlement data related to the settlements in real time, associates the settlements with the related trades in real time, and reports the aggregated data and the settlement data in real time.

Abstract: Example ledger management systems and methods are described. In one implementation, a financial management system receives a transfer request that identifies a source account and a destination account. The financial management system confirms that the source account is valid and confirms that the source account has a sufficient balance for the transfer request. Further, the financial management system issues instructions to debit the source account and credit a settlement account. If the source account is valid and has sufficient balance for the transfer request, instructions are sent to move funds from the settlement account to the destination account.

Abstract: Example time stamping systems and methods are described. In one implementation, a financial management system receives hashed transaction data associated with a transaction, where the transaction data identifies all parties to the transaction. The financial management system also receives a time stamp associated with the transaction and determines whether the time stamp has an appropriate value. If the time stamp has an appropriate value, the financial management system adds a nonce and a second time stamp to the hashed transaction data, and generates a new data package that includes the hashed transaction data, the nonce, and the second time stamp.

Abstract: Example activity management systems and methods are described. In one implementation, a financial management system receives membership criteria from a client clearing guarantor and receives additional membership criteria from a clearinghouse. The financial management system creates a direct clearing client and communicates access information to the direct clearing client, which creates multiple accounts. The systems and methods then identify approval of the direct clearing client by the client clearing guarantor and the clearinghouse.

Abstract: Example programmable asset systems and methods are described. In one implementation, a financial management system identifies a programmable asset and associates a metadata layer with the programmable asset. The financial management system also associates an asset type layer and a value layer with the programmable asset. The financial management system uses the programmable asset when executing a transaction between two or more parties.

Abstract: Example transaction settlement systems and methods are described. In one implementation, a financial management system identifies first operating rules associated with a first participant to a transaction. The financial management system also identifies second operating rules associated with a second participant to the transaction. A workflow is created, based on the first operating rules and the second operating rules, that defines a sequence of activities associated with the transaction. The financial management system executes the workflow to implement the transaction.