Actionable contextualized alerts within an order management system
The methods and systems described herein can be used for proactively monitoring regulatory compliance within an order management system, and for providing a real-time or near real-time recommendation relating to a subgroup of information containing suspicious attributes of a trade before the trade is executed. As such, market abuse monitoring is integrated with the order management system to provide historical trade data, identify a subgroup of information containing the suspicious attributes, and provide an actionable and contextualized real-time or near real-time recommendation to a compliance officer or other appropriate individual, officer, or office. As such, potential market abuse can be prevented by, for example, a rejection of the trade. By providing proactive surveillance rather than reactive surveillance relating to potential market abuse, fines or other consequences are also prevented. As such, compliance is improved.
1. A method for proactively monitoring regulatory compliance within an order management system, comprising:
retrieving historical trade data from a database connected to the order management system;
receiving a first order from a user computer for a trade at the order management system;
determining that the first order contains suspicious attributes by analyzing information associated with the historical trade data, and wherein the suspicious attributes indicate at least one of unusual trade size, unusual liquidity, or a price move;
flagging the first order in response to the determining;
comparing the first order to a market snapshot captured at a time in which the first order was received, wherein the market snapshot is retrieved from a historical quote database operatively connected to the order management system;
identifying a subgroup of information including the suspicious attributes;
providing a recommendation to a compliance application server, based on the comparing and the identifying, relating to the subgroup of information before the trade is executed, wherein the recommendation identifies the first order as including the suspicious attributes; and
blocking, delaying, cancelling, or rejecting execution the first order, using the compliance application server, based on the recommendation.
2. The method of claim 1 , wherein the historical trade data includes at least one of order data and trade data, wherein the order data and the trade data are each associated with at least two previous orders.
3. The method of claim 2 , wherein the at least two previous orders relate to a same entity.
4. The method of claim 1 , wherein the providing of the recommendation occurs in real-time.
5. A computer system for proactively monitoring regulatory compliance within an order management system, comprising:
a processor; and
a memory storing instructions that, when executed by the processor, cause the computer system to:
retrieve historical trade data from a database connected to the order management system;
receive a first order from a user computer for a trade at the order management system;
determining that the first order contains suspicious attributes by analyzing information associated with historical trade data, and wherein the suspicious attributes indicate at least one of unusual trade size, unusual liquidity, or a price move;
flag the first order in response to the determining;
compare the first order to a market snapshot captured at a time in which the first order was received, wherein the market snapshot is retrieved from a historical quote database operatively connected to the order management system;
identify a subgroup of information including the suspicious attributes; and
provide a recommendation to a compliance application server, based on the comparing and the identifying, relating to the subgroup of information before the trade is executed, wherein the recommendation identifies the first order as including the suspicious attributes; and
block, delay, cancel, or reject execution the first order, using the compliance application server, based on the recommendation.
6. The computer system of claim 5 , wherein the historical trade data includes at least one of order data and trade data, wherein the order data and the trade data are each associated with at least two previous orders.
7. The computer system of claim 6 , wherein the at least two previous orders relate to a same entity.
8. The computer system of claim 5 , wherein the providing of the recommendation occurs in real-time.
9. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause a computer system to proactively monitor regulatory compliance in real-time or near real-time within an order management system, by performing the steps of:
retrieving historical trade data from a database connected to the order management system;
receiving a first order from a user computer for a trade at the order management system;
determining that the first order contains suspicious attributes by analyzing information associated with historical trade data, and wherein the suspicious attributes indicate at least one of unusual trade size, unusual liquidity, or a price move;
flagging the first order in response to the determining;
comparing the first order to a market snapshot captured at a time in which the first order was received, wherein the market snapshot is retrieved from a historical quote database operatively connected to the order management system;
identifying a subgroup of information including the suspicious attributes; and
providing a recommendation to a compliance application server, based on the comparing and the identifying, relating to the subgroup of information before the trade is executed, wherein the recommendation identifies the first order as including the suspicious attributes; and
blocking, delaying, cancelling, or rejecting execution the first order, using the compliance application server, based on the recommendation.
10. The non-transitory computer-readable medium of claim 9 , wherein the historical trade data includes at least one of order data and trade data, wherein the order data and the trade data are each associated with at least two previous orders.
11. The non-transitory computer-readable medium of claim 10 , wherein the at least two previous orders relate to a same entity.