46 results about "Market model" patented technology

A pair of clearing house enhancements comprising a method that allows bespoke notional sizes to be handled rigorously plus a method that allows a plurality of daily settlement times to be introduced over the product set within an adapted electronic futures exchange type market model, rules and legal environment. In addition a method allows traditional fully funded negotiable securities such as bonds and equities to be listed on the adapted exchange. Another embodiment allows both funded and leveraged structured products equivalent to those normally issued by special purpose vehicles such as synthetic CDOs to be listed.

A set of linked methods allows accessing derivative products other than traditional futures and options within an adapted electronic futures exchange type market model, rules and legal environment. One embodiment comprises a linkage of such new methods which provides exchange members with access to several new products giving either entirely new or exact OTC ISDA type credit related derivative exposures.

A set of linked methods allows accessing derivative products other than traditional futures and options within an adapted electronic futures exchange type market model, rules and legal environment. One embodiment comprises a linkage of such new methods which provides exchange members with access to exact OTC ISDA type interest rate swap and FRA related exposures. Another embodiment is a method comprising another specific linkage of the new methods which gives exchange members access to exact OTC ISDA type overnight index swap related exposures. An additional embodiment provides exchange members with convenient access to credit spread and\or interest rate swap embodiments via deliverable credit rate linked and swap rate linked bond like futures.

A method allows an interbank deposit market to be created within an adapted electronic futures exchange type market model, rules and legal environment. The basic embodiment allows all participating individual banks to avoid the need to calculate and maintain traditional counterparty credit limits against each other. Another embodiment comprises the basic embodiment plus in addition a guarantee from a lender of last resort such as a central bank which allows a daily liquidity control mechanism similar to the monthly reserve requirement to operate that is the equivalent of futures initial margin.

Aiming at the unreliable grid environment caused by node selfishness, the invention introduces trust mechanism into the computation market model of Buyya and provides a method for computing node selection in grid market on the basis of trust filtering, so as to overcome the defects of the original algorithm based on time and budget constraint. Resource agent selects available resources with the lowest opportunity cost and executes the operation by making preliminary screening to all possible resources and computing the opportunity cost for using each available resource. Compared with the traditional method, the method can effectively actuate the providers of reliable resources, the operation failure rate of the user is remarkably reduced, and the integrated cost is saved by 8% to 10%.

A method, market test system and computer program product simulate a live, reactive trading market to test an electronic trade strategy. An incoming historical market data feed is received and modified for re-execution. Securities orders are received from an electronic trade strategy and from the modified historical market data feed. Each securities order is tagged to identify a source of origin. Securities orders are executed according to a full market model of a target trading venue. The executed orders are analyzed to identify the source of origin. A price modification value is calculated based on executed orders originating from the electronic trade strategy. The price modification value is used to modify prices of securities orders in the incoming historical market data feed. The incoming historical data feed may be modified by removing “executes.” A configurable personality profile may be applied to alter behavior of the simulated trade market.

The invention relates to a point-to-point network reputation management method based on a market model. On the base of the P2P routing protocol based on DHT, both buyer and seller and a third party supervisor together manage note reputation. Compared with the prior art, the method has the advantages that: a resources service level obtained by a node is directly related to contribution of the node for a system; users cannot seek profit for selves via unreal feedback information, so as to effectively inhibit the rigged potential motive of the rational users; and damage caused by various attacks of hostile nodes can be resisted. In the assist of the method, the resources service level obtained by the node is directly related to the contribution of the node for the system; the users cannot seek profit for selves via the unreal feedback information, so as to effectively inhibit the rigged potential motive of the rational users; and the damage caused by various attacks of the hostile nodes can be resisted.

The invention relates to a spectrum assignment method based on market in a clustering self-organizing network, which is based on a three-stage spectrum assignment market model. A cluster head node purchases spectrum from a spectrum management center according to the business proportion, and a spectrum assignment algorithm based on supply and demand market theory is used in the cluster, thereby maximizing cluster yield. The method comprises the following steps of: updating current idle spectrum information in real time by the spectrum management center according to the master user spectrum use condition; periodically updating common node business volume requested by a relay in the cluster by a cluster head and submitting the data to the spectrum management center as the reference order for subscribing the spectrum; and selling all the spectra to each cluster head by the spectrum management center according to the reference order in business proportion. The cluster head is considered as the spectrum (commodity) provider, common nodes in the cluster are considered as consumers in the spectrum commodity market, and the cluster head node and all the common nodes in the cluster negotiate to determine the unit price and bandwidth for trading the spectrum by using the supply and demand market theory, which ensures that both sides are satisfied, thereby maximizing cluster yield in the system.

The invention provides a virtual reality VR-based multi-user interaction method and device and corresponding equipment, and relates to the technical field of virtual reality. The method comprises thefollowing steps of: receiving detected position information and motion state information of each subsystem, wherein the position information and motion state information of each subsystem are determined according to real position information and real motion state information of a user corresponding to each subsystem; and displaying a marker model corresponding to each subsystem and a motion stateof each market model at a real position of each user on the basis of the position information and motion state information of each subsystem. According to the method, other users are virtualized intomarker models, so that the users can perceive the fusion parts of the real world in virtual scenes, the users do not influence each other on the basis of independent experience, and interactive cooperation can be carried out when necessary so as to improve the user experience.

The invention discloses a Raman spectrum image demixing method based on nonnegative matrix approximation. Non-pure pixels do not exist in a Raman spectrum image, unknown limitation on ANC, ASC and end elements exists in Raman spectrum demixing, various regularization factors such as sparsity are added in the nonnegative matrix approximation under the condition that the Raman spectrum image meets requirements of an LMM (labor market model), so that mixed pixel components and corresponding abundance thereof can be obtained effectively. Compared with the existing other method, the Raman spectrum image demixing method based on the nonnegative matrix approximation has the following advantages that the number of end elements (substances) is not required to serve as a priori knowledge; an iteration strategy is adopted, and a gain result is not relevant to the number of the end elements; and a graph relation and 1/2 bound norm are used, so that the noise immunity and the stability of an algorithm are improved.

The invention discloses a multi-oligopoly electricity selling market characteristic evaluation method based on a conditional risk value, which abstracts an electricity selling market into a complex adaptive system formed by a multi-oligopoly electricity selling company, three types of power consumers and other main bodies, and establishes a simulation mathematical model to carry out qualitative and quantitative analysis on the overall operation rule of the electricity selling market. The method comprises the following steps: (1) establishing a multi-oligopoly electricity selling market model architecture; (2) establishing an electricity selling company risk model, an income model and an integrated electricity purchasing and selling income risk optimization comprehensive model; and (3) giving a model solving process and carrying out simulation verification on an electricity selling market overall characteristic evaluation method through four examples. According to the method, complex game relationships between electricity selling companies and between the electricity selling companies and power consumers are described according to a multi-agent technology, the operation rule of themulti-oligopoly electricity selling market is disclosed, decision reference can be provided for market organization and management parties, and scientific development of the electricity selling marketis promoted.

In one embodiment, the merchant is free to choose the correct sales/marketing method or methods for their products and services and may choose to experiment with different methods and combinations of methods to determine what is best for their business. For example, merchants can focus on product quality, customer service and maximizing profitability and almost anything else that relates to their business without being concerned about whether they have locked themselves into the wrong sales and/or marketing model(s). The same is true for customers. Using the embodiment described herein, a customer (or potential customer) could choose which model they prefer instead of having to go elsewhere (to another merchant) for any preferred model (thereby providing additional analytics and information that can be used comparatively with a high degree of accuracy and repeatability using site standardized metrics).

The invention discloses a power wholesale market mode evaluation and risk analysis system. The system comprises an operation scene generation module which is used for inputting power grid operation data on the basis of a built power grid topological model to generate an operation scene of a simulation system, a market setting module used for setting a market model, a market simulation module usedfor calling a clearing method and carrying out clearing operation based on a set power grid topology model and a market model after setting a simulation supply side and a simulation demand side, a risk simulation module used for simulating a risk scene by changing boundary conditions for simulating clearing, and performing clearing operation again in the risk scene, and an evaluation analysis module used for carrying out analysis according to the operation scene data, the power grid operation data and the clearing result of the risk scene and carrying out evaluation according to a preset standard. According to the invention, a real power market operation scene can be simulated more truly, and more accurate analysis data can be provided by combining market simulation and analysis evaluation.

The invention discloses an electric power market model construction method, a device, equipment and a storage medium. The method comprises the steps of judging whether a power grid physical model is in a known construction mode or not according to a writing mode of the power grid physical model; in response to the fact that the power grid physical model is in a known construction mode, extractingbasic data of components according to the known construction mode; acquiring power market data related to the component names from a power market database, and dividing the power market data into power market component attribute data and power market component connection relationship data; wherein the power market component attribute data, the power market component connection relationship data and the basic data of the components form a power system data table according to a preset format; and constructing a power market model according to the data in the power system data table. By adoptingmultiple embodiments, the problems of inaccurate construction of the power market model and low modeling efficiency in the prior art are solved.

The invention provides an electric power spot market risk simulation analysis method and system suitable for generator set participation. The method comprises the steps: carrying out simulation of spot goods of electric energy according to a market model to obtain a simulated market project; selecting an agent type of the simulated market project based on a computational economics algorithm; setting calculation parameters according to the agent type; and inputting the calculation parameters into the simulated market project, generating a quotation project, and clearing the quotation project one by one. The unit bidding strategy provided by the invention comprises an intelligent agent module, and the intelligent agent module can be configured with various algorithms based on computational economics and is used for simulating a declaration strategy of a market subject. The method comprises three agent types including a marginal cost-based quotation type, a unit attribute-based quotationtype and a reinforcement learning-based quotation type, and can be suitable for simulating a partial quotation behavior of a unit in a complete competition market environment, a unit information lossor extremely few situation and a non-complete competition market environment.

Certain embodiments of the present invention provide methods and system for gathering feedback regarding clinical software features and/or functionality in a virtual market model. Certain embodiments include allowing one or more authorized users to submit one or more clinical software items for trading in a virtual market; facilitating trading of the one or more clinical software items by one or more authorized users via the virtual market; and generating feedback regarding the one or more clinical software items based on trading data. Certain embodiments include a virtual market facilitating trading of one or more clinical software items by one or more users and a user interface allowing a user to submit one or more software items for trading via the virtual market and allowing a user to trade shares of one or more clinical software items to indicate an opinion regarding one or more clinical software items.

A system and method for estimating scanner-like sales figures based on audit data. Audit data collected at retail locations is associated with multiple purchases. For each purchase, determine the date of purchase and the number of pieces purchased in relation to the purchased item. For each purchase date, a decay rate is determined that causes the number of units purchased to decrease when the next consecutive purchase date occurs. The decay rate is the estimated daily sales volume between two consecutive purchase dates. Causal data can also be collected at the retail point, which is considered valid during a causal audit. The total estimated sales that occurred during the causal audit period can be determined by summing the estimated daily sales for each purchase date during the causal audit period. During a causal audit, the relationship between causal data and total estimated sales can be determined. If a relationship between causal data and total estimated sales is determined, one or more marketing strategies can be developed using the determined relationship. By analyzing market strategies using one or more analytical market models, it is possible to determine whether these market strategies are viable. Any proven marketing strategy can be implemented in a retail environment. Later, updated audit data and causal data can be collected and analyzed in the manner described above in order to monitor the performance of one or more implemented marketing strategies.

The invention discloses a power distribution market Cournot-Bertrand hybrid model under participation of a micro-grid, and relates to the technical field of power distribution market model analysis under participation of the micro-grid. The power distribution market Cournot-Bertrand hybrid model comprises the following steps: firstly, proposing a Cournot-Bertrand model, and establishing a Duopolyand a triopoly Cournot-Bertrand model; and analyzing a Nash equilibrium solution and a system local stability domain, and comparing power supply quantity and electricity price relations to analyze different oligopoly gaming models. The invention proposes a power distribution market oligopoly and triopoly Cournot-Bertrand dynamic gaming model under participation of a micro-grid: a traditional powergeneration group is responsible for maintaining market supply, takes the power supply quantity as a decision variable to form a Cournot model, and takes the price as a decision variable to form a Bernoulli model in order to enhance the market competitiveness of the micro-grid. According to the power distribution market Cournot-Bertrand hybrid model, the asymmetry of the micro-grid and the traditional power generation group in market competition is considered, and the constructed Cournot-Bertrand model provides a more balanced competition mode for the power market.

The invention discloses a price guidance method for unmanned travel mode selection. The price guidance method for unmanned travel mode selection comprises the steps of establishing an ideal supply anddemand model; establishing an effective supply and demand model; establishing a multi-mode travel market model; establishing a supply and demand deviation and price adjustment amplitude comprehensivetarget rule; and solving a target price guidance law of the non-equilibrium multi-mode travel market by using a dynamic planning method. According to the invention, each type of travel mode between ODs is regarded as a single travel market; the driving time, the driving cost and the perceived traffic service quality are regarded as prices, when a certain market supply and demand relation is in anunbalanced state, the prices are used for guiding travelers in a certain market to change the traveling willingness or give up traveling, and finally market supply and demand balance is achieved.

The invention provides a flight sales layout determination method, which comprises the following steps: receiving a flight sales layout adjustment instruction, and determining a to-be-adjusted flightcorresponding to the flight sales layout adjustment instruction and each flight segment contained in the to-be-adjusted flight; respectively matching a corresponding load shedding rule for each air knuckle; determining a market model corresponding to the to-be-adjusted flight according to the flight sales layout adjustment instruction; determining an initial physical layout corresponding to the market model according to the market model; and adjusting the initial physical layout according to the load shedding rule corresponding to each flight segment, and determining the flight sales layout ofthe to-be-adjusted flight in each flight segment. By applying the method provided by the invention, the flight sales layout can be accurately determined, and the problems that the determination process of the flight sales layout is complex and the determined flight sales layout is low in accuracy in the prior art are solved.

The invention discloses an energy power industry chain risk early warning method and system based on a spot market model. The method comprises the following steps: determining a price factor of a spot market; constructing a function relational expression between the price factor and the spot price; according to the function relation, calculating a spot market price risk; determining a spot market price risk threshold; determining a relationship between the spot market price risk and a spot market price risk threshold to determine a risk early warning level and generating an early warning result. According to the invention, the price risk of the spot market is predicted by integrating the whole link information of the energy industry chain, such as primary energy supply, electric energy production, transmission, transaction, consumption and the like, and the price risk of the spot market is subjected to numerical measurement, so that the early warning of the risk of the energy industry chain is realized on the basis. Therefore, the energy power industry chain risk early warning method is more comprehensive, and the effectiveness and accuracy of the method are improved.

The invention discloses a market simulator and a network market simulator system. The market simulator includes: a graphical user interface which is intended for collecting data from a user, providing areas for the user to deploy one or a plurality of icons which corresponds or correspond to a market assembly so as to establish and analyze a market model, and displaying the output of a processor; a storage device which is intended for configuring the processor; a configured processor which is intended for inputting one or a plurality of parameters of one or a plurality of products of a market, and generating a market model data structure which is associated with the parameter or parameters, realizing profit maximization engine; the profit maximization engine is intended for finding the balance point of profit maximization based on the market model data structure, and outputting a market index which is applicable to the balance point of profit maximization. According to the invention, the market simulator allows the user to freely combine icons, establish and analyze the market model on the basis of user's requirements, can obtain the balance point of profit maximization, and provides reasonable basis for marketing decision-makers to make decisions related to marketing.