LIQUIDATION MANAGEMENT OPERATIONS FOR IMPROVED LEDGER PERFORMANCE
A network-based computing system can implement a transaction service in which digital wallets of client transaction entities are dynamically monitored to maintain a balance within a liquidity tranche unique to each transaction entity. The computing system can further execute a smart liquidity model that parses transaction requests into smaller clips and execution timing intervals such that risk of transaction failure is minimized or eliminated.
1 . A network-based computing system implementing a transaction service, comprising:
a network communication interface;
one or more processors; and
a memory storing instruction that, when executed by the one or more processors, cause the computing system to:
determine, based on liquidity data of a transaction entity, a low liquidity threshold for a digital wallet of the transaction entity, the low liquidity threshold being determined with respect to a digital currency;
dynamically monitor a balance of the digital wallet of the transaction entity, wherein dynamically monitoring includes forecasting one or more transactions that are to be initiated from the digital wallet in an upcoming time interval; and
when the balance of the digital wallet breaches the low liquidity threshold, perform one or more actions.
2 . The network-based computing system of claim 1 , wherein the one or more actions comprise transmitting a low liquidity notification to a computing device of the transaction entity.
3 . The network-based computing system of claim 1 , wherein the one or more actions comprise automatically transferring an amount of the digital currency from a digital wallet of a transaction service to the digital wallet of the transaction entity.
4 . The network-based computing system of claim 3 , further comprising optimizing transfer of the amount of the digital currency from the first digital wallet of the transaction service to the digital wallet of the transaction entity.
5 . The network-based computing system of claim 4 , wherein optimizing transfer of the amount of the digital currency includes performing one or more operations to reduce a completion time of the transfer.
6 . The network-based computing system of claim 5 , wherein optimizing transfer of the amount of the digital currency includes obtaining raw data from a ledger used by the digital wallet, and determining one or more timing parameters for performing the transfer based on the raw data obtained from the ledger.
7 . The network-based computing system of claim 4 , wherein optimizing transfer of the amount of the digital currency includes performing one or more operations to reduce a load on the underlying ledger.
8 . The network-based computing system of claim 1 , wherein the executed instructions further cause the computing system to manage the balance of the digital wallet such that the balance is within a liquidity tranche for the transaction entity.
9 . The network-based computing system of claim 8 , where the liquidity tranche comprises an upper bound and the low liquidity threshold.
10 . The network-based computing system of claim 1 , wherein the unique liquidity data corresponds to operational expenses of the transaction entity over a determined period of time.
11 . The network-based computing system of claim 1 , wherein the transaction entity selects a time interval corresponding to liquidity risk tolerance, and wherein the low liquidity threshold is further based on the time interval.
12 . A computer-implemented method comprising:
determining, based on liquidity data of a transaction entity, a low liquidity threshold for a digital wallet of the transaction entity, the low liquidity threshold being determined with respect to a digital currency;
dynamically monitoring a balance of the digital wallet of the transaction entity, wherein dynamically monitoring includes forecasting one or more transactions that are to be initiated from the digital wallet in an upcoming time interval; and
performing one or more actions to mitigate against a low liquidity threshold condition for the digital wallet.
13 . The method of claim 12 , wherein performing the one or more actions comprise transmitting a low liquidity notification to a computing device of the transaction entity.
14 . The method of claim 12 , wherein performing the one or more actions comprise automatically transferring an amount of the digital currency from a digital wallet of a transaction service to the digital wallet of the transaction entity.
15 . The method of claim 14 , further comprising optimizing transfer of the amount of the digital currency from the first digital wallet of the transaction service to the digital wallet of the transaction entity.
16 . The method of claim 14 , wherein optimizing transfer of the amount of the digital currency includes performing one or more operations to reduce a completion time of the transfer.
17 . The method of claim 16 , wherein optimizing transfer of the amount of the digital currency includes obtaining raw data from a ledger used by the digital wallet, and determining one or more timing parameters for performing the transfer based on the raw data obtained from the ledger.
18 . The method of claim 15 , wherein optimizing transfer of the amount of the digital currency includes performing one or more operations to reduce a load on the underlying ledger.
19 . The method of claim 12 , wherein the executed instructions further cause the computing system to manage the balance of the digital wallet such that the balance is within a liquidity tranche for the transaction entity.
20 . A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a network computer system, cause the network computer system to perform operations that comprise:
determining, based on liquidity data of a transaction entity, a low liquidity threshold for a digital wallet of the transaction entity, the low liquidity threshold being determined with respect to a digital currency;
dynamically monitoring a balance of the digital wallet of the transaction entity, wherein dynamically monitoring includes forecasting one or more transactions that are to be initiated from the digital wallet in an upcoming time interval; and
performing one or more actions to mitigate against a low liquidity threshold condition for the digital wallet.