48 results about "Market behavior" patented technology

A method is described which enables a user to present on a single graph several attributes of the market behaviors of securities such as common stocks, options, commodities, and the like. It also enables a user to compare such attributes either along different time horizons, or to compare such attributes of two or more securities. In general, the prices are shown along the vertical direction, whereas an attribute such as volume would be shown as horizontal lines proportional to said volumes in length, and intersecting the price line at positions corresponding to the strike price. Comparisons of several securities as well as comparisons could be easily made, and historical information such as open, close, average, high, and low prices could also be provided though the use of proper legends such as colored lines, asterisks, and the like.

A system and apparatus generates trading algorithms as data feeds. These data feeds are derived from market data feeds from electronic trading platforms. Functions of invention include the generation of the feeds as market microstructure analytics, trading algorithm building blocks, market behavior and risk estimates that are synchronized with underlying market data feeds. The invention incorporates utilities for agent-driven simulation of multiple electronic markets, and real-time testing and calibration of trading strategies. By delivering critical market dynamics that have not been available so far to market participants, the invention is projected to cut the cost of designing, implementing, and validating trading strategies while also increasing trading performance significantly. The invention will have an equalizing effect on trading by enabling retail investors to remain competitive with high speed traders. This equalizing effect will complement many trading platforms' initiatives for attracting retail flow to enhance their trading volumes and liquidity quality.

The invention provides an electricity market simulating system by adopting an SOA technology, which realizes global simulation for current electricity market of the country, provides technical support means for simulating electricity market operation and electricity system operation in different environmental conditions and market behaviors, globally evaluating market status, preventing market risks, verifying market rules, studying safe and stable operation strategy and measures of the electricity system under electricity market condition, and training electricity market related working staff, and provides a reliable technical analysis tool for high-efficiency excellent operation of the electricity market of the country.

The invention discloses an electric power customer service big data decision support system. The system comprises a control module, a big data platform module, a data integration and treatment module,a basic application module, a high-level application module and a system management module, and the control module is used for controlling the big data platform module, the data integration and treatment module, the basic application module, the high-level application module and the system management module to execute corresponding operation. Therefore, by implementing the embodiment of the invention, the electricity utilization rule and market behavior of a client can be discovered in vast quantities of power distribution and utilization data; and related business requirements of all-aroundcustomer service system support, fine decision of power grid operation, expansion of emerging business and reform support of the power market are met by combining power marketing management requirements, enterprise informatization management requirements and driving of power reform and new form of the power market.

The invention relates to a method for identifying original wines based on stable isotope ratio, and belongs to the technical field of trueness identification of wines. The method mainly comprises the following steps of: (1) measuring the delta 180 of alcohol contained in a true original wine sample by adopting a gas phase chromatography / stable isotope mass spectrometry coupling technology, and establishing a delta 180 database of the true original wine sample; (2) measuring the delta 180 of the alcohol contained in a wine sample to be measured; (3) analyzing the significant difference of the delta 180 of an alcohol content contained in the wine sample to be measured and the delta 180 of the alcohol contained in the true original wines, wherein if no significant difference exists, the wine sample to be measured and the true sample are indicated to be from a same producing area, and if the significant difference exists, the wine sample to be measured and the true sample are indicated to be from different producing area. The method capable of accurately identifying the original wines, which is disclosed by the invention, is established by utilizing a stable isotope mass spectrometry technology, can be used for solving the technical problem of national original wines on market supervision and is conductive to specifying the market behaviors, protecting the benefits of consumers and legal enterprises and promoting the healthy and orderly development of a wine industry.

The invention discloses a method for distinguishing production places of cordyceps sinensises based on stable isotope ratio, and belongs to the field of a cordyceps sinensis authenticity distinguishing technology. The method comprises the following main steps: (1), detecting the delta 15N value of a cordyceps sinensis sample of a real production place with a stable isotope mass-spectrometric technique, constructing a delta 15N database of the cordyceps sinensis sample of the real production place; (2), detecting the delta 15N value of a to-be-detected cordyceps sinensis sample; (3) performing significant difference analysis on the delta 15N value of the to-be-detected sample and the delta 15N value of the cordyceps sinensis sample of the real production place in the database, indicating that the to-be-detected sample and the real sample are from the same production place if the significant difference is inexistent, and otherwise, indicating that the to-be-detected sample and the real sample are from different production places. A method capable of exactly distinguishing production places of cordyceps sinensises is provided by using the stable isotope mass-spectrometric technique, consequently, the technical problems in market supervision of the production places of cordyceps sinensises in China is solved, the method is beneficial for standardizing market behavior, protecting legal interests of consumers and enterprises, and improving the cordyceps sinensis industries to develop in a healthy and ordered way.

The invention provides an aged service smart platform, which comprises a monitoring management terminal, a service institution terminal, a user terminal and a cloud server. The monitoring management terminal, the service organization terminal and the user terminal are all connected with the cloud server through the network. The cloud server stores the elderly information and the service organization information and processes the data information according to the machine learning. The service institution terminal obtains the required data through the cloud server, processes the data, and uploads the service institution information. The monitoring management terminal obtains the required data through the cloud server and monitors the data. The user terminal acquires the required data throughthe cloud server and processes the data. The invention also provides an intelligent wrist watch. The invention has the following beneficial effects: through the construction of an information platform supported by the Internet, the market behavior is standardized, and the endowment service management realizes the information and standardization management.

The invention discloses a textile raw material-oriented semantic-based data search engine. Software comprises three parts, namely a client operating interface, a semantic-based search engine and a market behavior data warehouse, wherein 1) the semantic-based search engine realizes a search engine mode by adopting a metadata file-based semantic search mode; 2) intelligent comparison is performed, namely the project sets the pairing function of information, and a user publishes an item of own product information, namely can search purchase information matched with the product information; and 3) a dynamic-based textile raw material base data warehouse and the market behavior data warehouse provide analysis services of market behaviors for an enterprise in pricing, production, selling and storage by adopting methods of multivariate statistical analysis, predictive analysis, decision analysis and the like and expert system technology.

The invention relates to a wind power dissipation scheduling method of cogeneration system based on electricity price-load linkage response. According to the method, a real-time electricity price mechanism is introduced, a new real-time electricity price is generated according to load change, the new real-time electricity price guides a power user to respond, load and real-time electricity price linkage response is achieved so as to guide the market behaviors among the main bodies of the power market and transfer the load across time periods. An electric boiler is installed in a heat load center so as to decouple the restraint of determining the electricity by heat, thereby reducing the heat energy loss in the transmission process. In the process of target optimization, the optimal coordination control of the daily load integral dynamic transfer across time periods and the thermal electrolytic coupling is achieved, so that the difference between the network cost and the auxiliary service cost of the abandoned wind is absorbed to the greatest extent, the wind energy is absorbed to the greatest extent, and meanwhile, the load peak-valley difference is reduced.

The double-layer strategy dispatching method for the electric power selling company comprises the following steps: step 1) constructing a double-layer dispatching model which can be used in the day-ahead electric power market by integrating a grid-level energy storage model and a virtual power plant model; 2) combining that two-layer dispatching model as the core and the fault prediction technology to form a strategy dispatch model with repair property which is applicable to the intra-day power market after the influence of the power fault is taken into account; 3) converting that double-layerdispatching model into a mixed integer program form for solution. The beneficial effect: the market behavior of the grid-level energy storage power station and the virtual power station is consider,and the profit after the power selling company adopts the secondary strategy dispatching with the repairing property under the scenario of the grid fault prediction can be simultaneously evaluated.

The invention discloses a distribution line fault indication integrated equipment function and performance detection method. The method comprises a function test portion and a performance test portion, wherein the function test portion comprises six items, i.e., a fault alarm function test, a fault alarm reset function test, an event record function test, an anti-error alarm test, an information loss prevention test and a working mode test and the like; and the performance test portion comprises two items, i.e., a current acquisition precision test and a fault report timeliness test. When the method is provided by the invention is applied to detection work, various function performance parameters of whole distribution line fault indication integrated equipment can be detected in a comprehensive and rapid manner so that the safe, reliable and stable operation of the equipment in a power distribution network can be ensured; and at the same time market behaviors and product technical indicators are standardized so that technical references are provided for the purchase, acceptance and daily regular maintenance of equipment of this type.

A method, system and software arrangement in accordance with an exemplary embodiment of the present invention are provided to extract descriptive narrative from numerical experimental data augmented with ontological controlled vocabulary. One exemplary application of such system, method and software arrangement is in organizing gene-expression time course data in terms of biological processes that may be activated and deactivated as the biological system responds to its normal or perturbed environment. The present invention may also have biological applications to drug-or-vaccine discovery, understanding behavior of a cell in an altered diseased state (e.g., cancer, neuro-degeneration or auto-immune disease, etc.), genetically modifying a natural wild-type organism, genetic-engineering, etc. Other exemplary applications may include understanding neural behavior, market behavior of a population of users interacting on the Internet, etc.

The invention discloses a bidding decision method of a power generation company based on a pre-listing monthly balance mode, which is fully based on the characteristics of the pre-listing monthly balance deviation processing mode, weighs the income and the risk of the power generation company, and considers the unbalanced power quantity of the system and the uncertainty of an opponent's bidding. The benefit function of a generation company in the up-down market can give consideration to both the profit and risk of the generation company in the deviated market. Through the probability functionand the equivalence curve, the unbalanced electricity quantity and the uncertainty of rival bidding can be described accurately. On the one hand, the model can provide certain reference for the bidding based on the pre-listed monthly balance deviation processing mechanism, and maximize the economic benefits of the generator and the system. On the other hand, the invention can provide a basis for the study of the market behavior of power generation companies.

The invention relates to a quote-driven-market system for an international foreign exchange market. The system comprises a financial calculation engine, a database and a quote combined management system, wherein the database and quote combined management system are built based on the financial calculation engine. The quote-driven-market system is beneficial in that continuous output can be realized; a machine learning part sufficiently considers interest liquidity and monetary liquidity, an interest rate futures derivative characteristic and a non-standard term characteristic; and furthermorebecause a high-speed modular design is utilized, the quote-driven-system realizes better price than Bloomberg foreign exchange quote; the system realizes higher speed than Murex quote; quote price andquote speed are remarkably improved; and furthermore model designing of the financial calculation engine is based on a no-risk hedging principle, and drainage can be performed on quote-driven-marketbehaviors which comprises standard-time quote-driven-market behaviors and non-standard-time quote-driven-market behaviors. Furthermore because the quote-driven-market system provided by the inventionhas no similar project or product or service in China, the quote-driven-market system has uniqueness, monopolistic property and high threshold.

The invention relates to battery, battery application and unification of battery morphology standard process field. The adopted technical schemes for solving technical problems in the invention are: design a battery 5 and can be put into the battery chamber of electrical apparatus which use cylindrical battery NO. 5; cathode contact 1 and anode B contact 4 are corresponding to the cathode circuit and anode circuit of battery chamber of electrical apparatus which use cylindrical battery NO. 5 so as to implement power supply for electrical apparatus which use cylindrical battery NO. 5. At the same the battery 5 can also be put into the battery chamber of mobiles; cathode contact 1, detective contact 2, anode A contact 3 are corresponding to the cathode ,detective ,anode circuit contact so as to implement the power supply for mobiles. Equip new electrical apparatus with the standard battery chamber according to market behavior, thereby making battery application unified and standard.

The invention discloses a multi-microgrid main body non-cooperative game transaction method, which relates to the field of power markets of power distribution network terminals, and comprises the following steps: carrying out market behavior characteristic analysis and classification modeling on various microgrid main bodies formed by different internal parts of the power distribution network terminals, so that simulation of different market behaviors of various types of microgrid main bodies of the power distribution network terminal in the market is realized; building a distributed transaction platform among multiple microgrid main bodies, and building a multi-microgrid main body non-cooperative game transaction mechanism for the market transaction behaviors among the multiple microgridmain bodies through the distributed transaction platform; constructing a two-stage robust optimization model in the microgrid main body by considering the characteristics of the microgrid main body internally containing wind power and combining the typical scene data of the wind power and the adjustment characteristics of the decision variables, and solving the model by adopting a CCG algorithm; therefore, in the process of participating in the transaction after the optimization, the non-cooperative game among the multiple microgrid main bodies is realized through the market behavior selectionof different microgrid main bodies.

The invention discloses a day-ahead safety constraint unit combination method for coordination optimization of standby auxiliary service and electric energy, and relates to the technical field of power system operation and control, in particular to unit combination under the background of coordination optimization of auxiliary service and electric energy. The method comprises the following steps: 1) declaration data of market subjects such as loads, electricity selling companies and power generators are input; operation parameters of the power system are input; 2) quotation data of the market subject and operation parameters of the power system are used to construct an objective function and constraint conditions of a day-ahead security constraint unit commitment model of standby auxiliary service and electric quantity coordinated optimization; 3) the optimization model is solved, the start-stop state of each generator is obtained after calculation, and the start-stop plan of the day-ahead unit is instructed. The day-ahead unit combination of the power system can be effectively optimized, social welfare maximization is achieved, the market operation efficiency is improved, and the situation that scheduling means intervene in market behaviors is avoided.

The invention discloses an electricity price cross-subsidization supervisory evaluation method based on a game theory, and belongs to the technical field of electricity price cross-subsidization supervisory evaluation methods in an electricity market. The method includes building theoretical models related to subjects including local governments G, power grid enterprises N, large industrial electricity users L and general industrial and commercial electricity users S. Chinese residential electricity consumption is only 12%, residential electricity prices are constant for a long time, and residential user electricity consumption H is exogenous in the models. Market behavior selection of the local governments, the power grid enterprises and classified users is analyzed according to game behaviors of the local governments, the power grid enterprises and the classified users in the electricity market, and electricity price cross-subsidization supervising strategy selection of the local governments in electricity market games is evaluated more meticulously and accurately by three-stage cycle game model equilibrium results.

A tourism management system is characterized in that 1, all elements of tourism constitute a plurality of systems, 2, each of the systems can be divided into a plurality of subsystems, and each of the subsystems can be divided into a plurality of branch systems, 3, reasonable resource distribution is implemented for each of the systems, the subsystems and the branch systems thereof, 4, all systems for vacation, transportation and the like constitute a big system which is called as a big tourism system, and 5, system operation is implemented for all systems in the large tourism system framework. The operation is as follows: market behavior is combined with government behavior; and management is implemented by applying networks, and then short messages, microblogs and the like. The management system can avoid defects, such as road congestion, fullness in scenic spots, overload of various vehicles, overload operation of staff, and extreme exhaustion of tourists, and can avoid various caused negative effects.

The invention relates to a financial capital market computer simulation system based on machine learning and an expert reasoning system. The system comprises an information acquisition and self-learning system, a multi-agent system, an economic market system and a control parameter set module, wherein the information acquisition and self-learning system is used for acquiring present social and economic real-time operational data and inputting the data into the deep learning network, the deep learning network is used for learning and fusing the data and acquiring economic behavior multi-agent establishment assignment parameters and inputting the parameters into the multi-agent system, attributes and parameters of economic behavior objects are established by a multi-agent according to the parameters inputted by the information acquisition and self-learning system, economic objects are preset in the multi-agent system, and the economic objects are further utilized to simulate the capitalflow of the capital market. The system is advantaged in that operation of the financial system can be simulated, and the impact of market behavior rules on market capital operation and the economic behavior objects is simulated.

The present invention provides a method, system and software that provide a predictive model responsive to the correlation of news articles to stock price movement. The invention analyzes the derivative or ratio of events to drive predictions in a responsive manner. The invention considers derivatives or ratios of news meta-data within a small window in the past relative to a larger window of news items in the past. The invention may use a sentiment engine and apply the derivative of sentiment to predict volatility and / or trend direction of price of a security. The invention may look to the content, context, and derivative of sentiment to weigh news stories according to a predetermined taxonomy factoring in recency, criticality, repeatedness, trustworthiness, etc. to predict stock price behavior. Also, the invention may be used to forecast events given stock price movement and news to predict an impending story or release of significance.

The invention relates to a liquidation value calculating method and a liquidation value calculating system based on low-carbon finance. First, a low-carbon currency appreciation calculation method is set, namely, the trading volume produced by actual low-carbon behaviors is divided by the amount of liquidation value currency to get a multiple; then, the multiple is multiplied by a value-added agreement base and then the total amount of low-carbon value currency; and finally, the low-carbon currency appreciation is obtained, wherein the value-added agreement base is obtained by dividing the total amount of actual emission reduction produced by nation-wide low-carbon behaviors by the total national quota, and the total amount of low-carbon value currency is the sum of the amount of currency in circulation and the minimum amount of currency guaranteed. In the whole process of operation process control, a variety of market behaviors are set, such as the stock of currency in the market, carbon financial value evaluation, low-carbon value currency issuing, the trading volume produced by low-carbon behaviors, liquidation value produced by value-added agreements, and continuous appreciation produced by trade multiplication.

The invention relates to a method for identifying original wines based on stable isotope ratio, and belongs to the technical field of trueness identification of wines. The method mainly comprises the following steps of: (1) measuring the delta 180 of alcohol contained in a true original wine sample by adopting a gas phase chromatography / stable isotope mass spectrometry coupling technology, and establishing a delta 180 database of the true original wine sample; (2) measuring the delta 180 of the alcohol contained in a wine sample to be measured; (3) analyzing the significant difference of the delta 180 of an alcohol content contained in the wine sample to be measured and the delta 180 of the alcohol contained in the true original wines, wherein if no significant difference exists, the wine sample to be measured and the true sample are indicated to be from a same producing area, and if the significant difference exists, the wine sample to be measured and the true sample are indicated to be from different producing area. The method capable of accurately identifying the original wines, which is disclosed by the invention, is established by utilizing a stable isotope mass spectrometry technology, can be used for solving the technical problem of national original wines on market supervision and is conductive to specifying the market behaviors, protecting the benefits of consumers and legal enterprises and promoting the healthy and orderly development of a wine industry.

The invention discloses a method for identifying organic hot peppers based on stable isotope ratio, and belongs to the technical field of trueness identification of organic foods. The method comprises the following steps of: comparing the delta 15N values of true organic hot peppers and hot pepper samples to be measured, wherein if no significant difference exists, the hot pepper samples to be measured are indicated to be true organic hot pepper samples, and if the significant difference exists, the hot pepper samples to be measured are indicated to probably not be the true organic hot pepper samples; or firstly measuring a large quantity of true organic hot peppers, establishing an organic hot pepper N isotopic composition characteristics database, then detecting whether the delta 15N value of the hot pepper samples to be measured is contained in the organic hot pepper N isotopic composition characteristics database, wherein if so, the hot pepper samples to be measured are organic hot peppers, and if not, the hot pepper samples to be measured are probably not the true organic hot peppers. The method capable of accurately identifying the organic hot peppers, which is disclosed by the invention, is established by utilizing a stable isotope mass spectrometry technology, can be used for solving the technical problem of national organic hot peppers on market supervision and is conductive to specifying the market behaviors, protecting the benefits of consumers and legal enterprises and promoting the healthy and orderly development of an organic food industry.

The invention provides a system for establishing the self-service based on the passenger market behavior characteristics, which belongs to the technical field of aviation and comprises a neighborhoodrecommendation system, a time sequence recommendation system and / or a passenger label system. An implementation mode of the neighborhood recommendation system comprises the steps of establishing a passenger-commodity interest degree matrix; screening a passenger set similar to the interest of the target user; utilizing the interest similarity among the passengers to find the commodity that the passengers prefer, and the target user does not inquire or purchase to recommend to the target user, so that the problem of recommending the commodities that the passengers do not know but may be interested to the passengers, is solved.

The invention discloses a power generation company market behavior optimization method and system under high renewable energy source permeability, and the method comprises the steps: building a high-level renewable energy source bidding model with the profit maximization of a power generation company as a target; establishing a low-layer time-varying market settlement model based on marginal cost by taking consumer cost minimization based on a time sequence as a target; serving the low-layer time-varying market settlement model based on the marginal cost as a constraint condition, and enabling the low-layer time-varying market settlement model and a high-layer renewable energy bidding model to jointly form a double-layer game model; and adopting a dynamic gradient effective set algorithm, converting a double-layer optimization problem into a single-layer optimization problem by parameterizing a bidding strategy of a power generation company, and solving the double-layer game model to obtain an optimal quotation strategy of all power generation companies. According to the method, the accuracy of an optimization result can be improved under the condition that the permeability of renewable energy sources is relatively high.