Optimizing ledger usage and liquidation operations thereon
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 execution service, comprising:
a network communication interface to communicate, over one or more networks with computing devices of transaction entities and computing systems of multiple crypto exchanges;
one or more processors; and
a memory storing instructions that, when executed by the one or more processors, cause the network-based computing system to:
receive, over the one or more networks, real-time exchange data from a computing system of a crypto exchange of the multiple crypto exchanges;
based on the real-time exchange data, determine a set of constraints of the crypto exchange;
in response to a low liquidity threshold being triggered for a digital wallet of a transaction entity at the crypto exchange, the low liquidity threshold being determined based on historical consumption patterns of the transaction entity and other liquidity signals to avert liquidity risk, generate an execution plan for the transaction entity in which a first asset is to be exchanged for a second asset using the crypto exchange, wherein generating the execution plan includes:
determining, based on one or more machine learning or artificial intelligence models that utilize the real-time exchange data and the set of constraints as input signals, a set of parameters for transacting a transaction amount as a plurality of clips, the set of parameters being determined to optimize one or more objectives for transacting the transaction amount, the one or more objectives including an objective to reduce a load on a ledger of the crypto exchange where the plurality of clips are to be exchanged;
wherein the optimized set of configuration parameters indicate each of a number of the plurality of clips, a size of each of the plurality of clips, and a timing or input signal for determining when each of the plurality of clips are to be executed on the crypto exchange; and
responsive to transmission of a set of transaction commands from the computing system to the crypto exchange, executing the plurality of clips in accordance with the execution plan.
2 . The network-based computing system of claim 1 , wherein the real-time exchange data comprises an order depth at the crypto exchange.
3 . The network-based computing system of claim 2 , wherein the order depth corresponds to a current number of transaction requests and transaction amounts for a current number of transaction requests at the crypto exchange.
4 . The network-based computing system of claim 1 , wherein the execution plan is further optimized for completing one or more transactions of a transaction request while minimizing a transaction cost or risk.
5 . The network-based computing system of claim 1 , wherein generating the execution plan includes identifying one or more intermediate assets and transactions when exchanging the first asset for the second asset.
6 . The network-based computing system of claim 5 , wherein generating the execution plan includes identifying multiple sets of transactions that include the intermediate assets.
7 . The network-based computing system of claim 1 , wherein the execution plan is generated in response to a transaction request.
8 . A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations that comprise:
receiving, over the one or more networks, real-time exchange data from a computing system of a crypto exchange;
based on the real-time exchange data, determining a set of constraints of the crypto exchange;
in response to a low liquidity threshold being triggered for a digital wallet of a transaction entity at the crypto exchange, the low liquidity threshold being determined based on historical consumption patterns of the transaction entity and other liquidity signals to avert liquidity risk, generating an execution plan for the transaction entity in which a first asset is to be exchanged for a second asset using the crypto exchange, wherein generating the execution plan includes:
determining, based on one or more machine learning or artificial intelligence models that utilize the real-time exchange data and the set of constraints as input signals, a set of parameters for transacting a transaction amount as a plurality of clips, the set of parameters being determined to optimize one or more objectives for transacting the transaction amount, the one or more objectives including an objective to reduce a load on a ledger of the crypto exchange where the plurality of clips are to be exchanged;
wherein the optimized set of configuration parameters indicate each of a number of the plurality of clips, a size of each of the plurality of clips, and a timing or input signal for determining when each of the plurality of clips are to be executed on the crypto exchange; and
transmitting, over the one or more networks, a set of transaction commands to the respective computing systems of the crypto exchange, to execute the plurality of clips in accordance with the execution plan.
9 . The non-transitory computer-readable medium of claim 8 , wherein the real-time exchange data comprises an order depth at the crypto exchange.
10 . The non-transitory computer-readable medium of claim 9 , wherein the order depth corresponds to a current number of transaction requests and transaction amounts for a current number of transaction requests at the crypto exchange.
11 . The non-transitory computer-readable medium of claim 8 , wherein the set of constraints corresponds to a maximum transaction amount for each clip at the crypto exchange, and a timing interval or parameter for each clip at the crypto exchange.
12 . The non-transitory computer-readable medium of claim 8 , wherein generating the execution plan includes identifying one or more intermediate assets and transactions when exchanging the first asset for the second asset.
13 . The non-transitory computer-readable medium of claim 12 , wherein generating the execution plan includes identifying multiple sets of transactions that include the intermediate assets.
14 . The non-transitory computer-readable medium of claim 8 , wherein the execution plan is generated in response to a transaction request.
15 . A computer-implemented method comprising:
receiving, over the one or more networks, real-time exchange data from a computing system of a crypto exchange;
based on the real-time exchange data, determining a set of constraints of the crypto exchange;
in response to a low liquidity threshold being triggered for a digital wallet of a transaction entity at the crypto exchange, the low liquidity threshold being determined based on historical consumption patterns of the transaction entity and other liquidity signals to avert liquidity risk, generating an execution plan for the transaction entity in which a first asset is to be exchanged for a second asset using the crypto exchange, wherein generating the execution plan includes:
identifying a transaction amount for the transaction entity to exchange the first asset for the second asset based on historical consumption patterns of the transaction entity to automatically avert a liquidity risk of the transaction entity;
determining, based on one or more machine learning or artificial intelligence models that utilize the real-time exchange data and the set of constraints as input signals, a set of parameters for transacting a transaction amount as a plurality of clips, the set of parameters being determined to optimize one or more objectives for transacting the transaction amount, the one or more objectives including an objective to reduce a load on a ledger of the crypto exchange where the plurality of clips are to be exchanged;
wherein the optimized set of configuration parameters indicate each of a number of the plurality of clips, a size of each of the plurality of clips, and a timing or input signal for determining when each of the plurality of clips are to be executed on the exchange; and
transmitting, over the one or more networks, a set of transaction commands to the respective computing system of the crypto exchange, to execute the plurality of clips in accordance with the execution plan.
16 . The method of claim 15 , wherein the real-time exchange data comprises an order depth at the crypto exchange.