EMBEDDED HARDWARE BASED SYSTEM WHICH PROVIDES REAL-TIME PRE-TRADE RISK ASSESSMENTS FOR MULTIPLE PARTIES AND METHOD THEREOF
First Claim
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1. An embedded risk assessment system, comprising:
- a surface;
at least one client personality module, at least one market participant personality module, at least one liquidity venue personality module and at least one market data personality module each installed on the surface and electrically connected to each other;
the at least one client personality module having a set of risk data for a particular client;
the at least one market participant personality module storing a set of risk data for a broker in a liquidity venue;
the at least one liquidity venue personality module allowing the at least one client personality module and the at least one market participant personality module to interact with the liquidity venue to send a trade and receive notifications of a completed trade;
the at least one market data personality module gathering data about a particular market; and
the at least one client personality module, at least one market participant personality module and at least one liquidity venue personality module performing pre-trade risk assessment for the client with reduced latency.
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Abstract
A risk assessment system and method are provided that may be implemented as an embedded hardware based system and method that provide real-time pre-trade risk assessments for multiple parties, in addition to real-time market data and trading connectivity to a variety of liquidity venues. The liquidity venues may include regulated exchanges, ECNs and other financial institutions listing securities, options, futures, commodities, foreign exchange and other financial instruments.
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Citations
20 Claims
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1. An embedded risk assessment system, comprising:
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a surface; at least one client personality module, at least one market participant personality module, at least one liquidity venue personality module and at least one market data personality module each installed on the surface and electrically connected to each other; the at least one client personality module having a set of risk data for a particular client; the at least one market participant personality module storing a set of risk data for a broker in a liquidity venue; the at least one liquidity venue personality module allowing the at least one client personality module and the at least one market participant personality module to interact with the liquidity venue to send a trade and receive notifications of a completed trade; the at least one market data personality module gathering data about a particular market; and the at least one client personality module, at least one market participant personality module and at least one liquidity venue personality module performing pre-trade risk assessment for the client with reduced latency. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for risk assessment using an embedded hardware system, the embedded hardware system having at least one client personality module, at least one market participant personality module, at least one liquidity venue personality module and at least one market data personality module each installed on a surface and electrically connected to each other, the method comprising:
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storing, in a client personality module, a set of risk data for a particular client; storing, in a market participant personality module, a set of risk data for a broker in a liquidity venue; interacting, using a liquidity venue personality module, between at least one client personality module and the at least one market participant personality module with the liquidity venue to send a trade and receive notifications of a completed trade; gathering, using a market data personality module, data about a particular market; and performing, using the client personality module, the market participant personality module and the one liquidity venue personality module, pre-trade risk assessment for the client with reduced latency. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification