31 results about "Market dynamics" patented technology

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.

Customers buy a variety of equipments and gadgets from multiple vendors and interact with manufacturers through contact centers to get their questions on the bought products answered. The market opportunities and competitiveness are forcing manufacturers to be accommodative and innovative in providing post-sale support. An essential aspect of this market dynamics is customer churn and the manufactures are required to ensure that product loyalty and brand loyalty of the customers are high. While Customer Relationship Management (CRM) has been playing an all important role of monitoring and managing customer relationships, it is necessary to augment CRM with more specific enhancements. The need is to have an integrated, practical, and realizable approach that focuses on measuring customer satisfaction index based on multiple interactions of customers with manufacturers. A system and method for tracking customer satisfaction index involves tracking of the intentional states of customers and assessing them just in time to help improve the satisfaction index.

A method for providing business information comprises receiving a request, a selected industry, and a selected region, then generating report data, and providing a printable industry report. The industry report has charts and a map and is divided into a national market overview section, a market dynamics section, and a company information section. A system for providing business information has an application server, a web server, and a memory, such as a database. The application server fabricates a data product. The web server processes requests from the application server and provides the data product in an industry report. The web server includes charting and mapping components. For rapid retrieval, the database stores a table of company information.

The safety anti-fake system includes product information data base, product anti-fake server, anti-fake mark server, anti-fake gateway and anti-fake code scanning terminal. The anti-fake mark server generates random number, cipher key, anti-fake code and anti-fake bar code; the product information data base is for storing basic product information and additional information; the product anti-fake server treats the service request from the anti-fake code scanning terminal; the anti-fake code scanning terminal distinguishes the anti-fake bar code in product; and the anti-fake gateway extracts and sends service request and feeds back. The present invention has bar code as anti-fake mark, transmits confirmation information via available communication network, has anti-fake mark server to send the inquiry information to the product anti-fake server, and simple, practical, convenient and favorable to understand marketing state.

The invention relates to an enterprise market information collection, classification and release system, which comprises a data acquisition server, a Web server, a database server and a central management server which are connected to Internet, and is characterized in that: the data acquisition server is used for acquiring enterprise information from specified websites and packing and transmitting the enterprise information to the central management server; and the central management server is configured with an identification module, a central processing module and a data transmission module. The system helps a user to grasp self market trend and the market trends of downstream customers, provides a basis for the enterprise operators and managers to make decisions, is favorable for the oriented release of the purchase and marketing advertisements of the companies of the upstream and downstream customers of enterprises and improves the effectiveness of the advertisement.

The invention relates to the technical field of an agricultural trading system, in particular to a farmer's market management system. The farmer's market management system includes an agricultural product quality and safety traceability system, a farmer's market supervision system, a farmer's market transaction management system, a farmer's market management cloud platform and a market managementterminal. The farmer's market management system can trace the source of agricultural products information, grasps the dynamics of the farmer's market, manages and controls the merchants, and promotesthe management, service and supervision of the farmer's market to realize information networking, standardization of work and modernization of management.

The present disclosure describes a system for providing personalized financial recommendation based on user-specific attributes and predetermined historical financial projections. This engine collects various user preferences, user behavior, and predictions from prediction engine as well as market dynamics to recommend various ideas to user. An intelligent financial assistant is capable of Natural Language dialog by identifying contextual meanings of the user's queries and relating financial sub-domain. It learns from user's context, behavioral patterns to generate unique recommendations pertaining to their situations. These dynamic personalized recommendations can take different shape based on usage patterns and can be a trading idea, financial advice, suggestion, tax advice, or even investment tips.

The invention relates to an incentive video advertisement-based RTB real-time bidding method. The method comprises the steps of inputting flow request information data of a media advertisement; carrying out flow anti-cheating processing on the input flow request information data; matching advertisement activities according to media advertisement position requirements and user attribute characteristics; calculating and sorting the bid evaluation values displayed by the advertisements each time to obtain an optimal bid evaluation value; adjusting the bidding in real time according to the optimalbidding evaluation value and the historical bidding data to obtain the optimal bidding meeting the market dynamic demand; and outputting the advertisement activity and the bidding information group corresponding to the optimal bid. According to the invention, by importing the effective bidding flow, the invalid flow is eliminated, invalid audiences can be avoided, and meanwhile, the actual bidding is adjusted according to the bidding strategy and the historical bidding data, so that the market dynamic demand can be met.

A method, a computer system, and a computer program product for predicting changes in market dynamics for a geographic region. A computer system identifies human resource data regarding employees of organizations. The human resource data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system generates a plurality of location aggregates for different combinations of dimensions of the human resource data across a plurality of different geolocations. The computer system identifies a set of matched markets for a particular geographic region based on similarities among facts for the different combinations of dimensions among the plurality of location aggregates. The computer system identifies a predicted change in market dynamics for the particular geographic region based on a change in market dynamics for the set of matched markets. The computer system digitally presents the predicted change in market dynamics for the particular geographic region.

The invention discloses a multi-level data analysis and monitoring system of an electricity sales market. Needed basic analysis data is obtained from internal power systems as a marketing service application system, a power utilization information collection system and the like, the electricity sales market is analyzed in different levels including city, industry, client group and client by combining data of influential factors including atmosphere and local GDP extracted from information of governmental web portals, a macro, middle and micro stepped analysis system is established to master change trends and fluctuation reasons of the electricity sales market, an analysis result of the electricity sales market is displayed visually, main factors of change of the electricity sales market are analyzed and located, electric quantity change is mastered in real time, and technical support is provided for mastering main factors and dynamic conditions of the market.

The invention discloses a method and system for realizing automatic sound recording of a pc-side and a mobile terminal. Through the method and system, the pc-side can automatically play audio files and send corresponding states to the mobile terminal when each audio file is started and ended. The mobile terminal can monitor and receive sound recording requests sent by the pc-side and carry out automatic sound recording, automatic ending and automatic storing. The system for realizing automatic sound recording of the pc-side and the mobile terminal is easy to operate, convenient to use and practical, the produced audio files can be recorded onto the mobile terminal in an automatic sound recording mode and then are used for carrying out more accurate audio recognition rate detection, the time for audio recognition rate detection can be shortened, and the efficiency is improved. In addition, each mobile terminal manufacturer has applications such as a sound assistant. Thus, the method and system for realizing automatic sound recording of the pc-side and the mobile terminal have great market dynamics.

A system and method for providing an online exchange where customers and hotels can negotiate the price for specific rooms is provided. The system and method is web-based, and allows customers and hotels to access information and tools for dynamically negotiating the price of specific hotel rooms. The system and method provides real-time or near real-time information to customers and hotels regarding the supply and demand for rooms (e.g., rooms available, current asking price for rooms, alternative price offers for rooms by customers, price being offered by competing hotels, etc.), thereby creating a real-time or near real-time market for hotel rooms, similar to a securities market in which the price of securities are determined based on market dynamics.

The invention provides a trend prediction method based on an attention mechanism and reinforcement learning, and the method makes full use of the market information, better captures the market dynamics, enters as much as possible when the futures price is at a low level and has a rising trend, and reduces the probability of decision errors. Firstly, futures varieties are selected, varieties which are long in establishment time and large in trading volume are selected as far as possible, whether futures are suitable for data enhancement or not is judged through testing according to the fractal theory, and the problem that the data volume is small is solved to a certain extent. Then, through data cleaning and a feature extraction model based on an attention mechanism, the ability of the model to extract financial data features is optimized to serve as the input of a final strategy network, finally, a reinforcement learning algorithm is used, continuous action control is introduced, and an intelligent agent with strategy randomness and robustness is obtained; and the intelligent agent can make decisions according to market dynamics.

The invention provides an import and export trade big data visualization analysis system. The system comprises a multidimensional database, a user-defined unit, a data preprocessing unit and a data analysis unit. According to the invention, through the constructed multi-dimensional database model, the operation is simple, the import and export analysis result of the product is visually displayed,and through each analysis function, a user can better understand the global market dynamic change condition and the delivery law of competitors, so that more business opportunities hidden behind'dataand reports' are mined.

The invention discloses an electricity selling business comprehensive service system with an electric quantity prediction function. The electricity selling business comprehensive service system comprises an electric quantity prediction module, a contract management module, a supply and demand matching module, a user electricity charge module, a settlement management module, a market data summarization module, a deviation management module and an online monitoring module. According to the invention, an electricity selling company can be assisted to accurately grasp the operation direction, market dynamics, supply and demand dynamics and the like; the electricity selling business management efficiency is improved, thus reducing transaction risk, and securing maximum responsive efficiency; meanwhile, working means such as work cooperation, information communication, operation decision and auxiliary analysis are provided for electricity selling companies and power consumers; the basic requirements of user information collection, arrangement, analysis, reporting, confirmation and information management, electricity bill analysis and calculation, bilateral transaction electric quantitydecomposition, electric quantity adjustment, quotation simulation, quotation analysis, electric quantity prediction, operation analysis, deviation assessment simulation, service management, user archive management and the like in the electricity selling service management are met.

A method, a computer system, and a computer program product for managing inventory for an organization. The computer system identifies human resources data regarding employees of organizations. The human resources data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system determines a change in market dynamics relating to a set of geographic regions based at least partially on the human resources data. The computer system identifies transaction data for transactions involving a business merchant within a particular geographic region and a consumer. The computer system generates a suggested inventory for the business merchant. The suggested inventory is based at least partially on the determined change in market dynamics for the set of geographic regions in the transaction data for the business merchant.

The invention provides a publication topic selecting and issuing analysis system. The system comprises a publication market monitoring subsystem used for obtaining and analyzing publication market dynamic information, pushing directional concerned contents and early warning contents according to an analysis result and performing storage, a topic selecting support subsystem used for performing topic pushing according to historical topic information and the stored result information obtained and analyzed by the publication market monitoring subsystem to enable a user to determine a current topicaccording to a pushed topic, a marketing decision support subsystem used for analyzing the type of a publication finished by the user according to the determined current topic and determining a marketing model matched with the type based on a marketing feature library to perform decision making on a marketing policy of the publication finished by the current topic, and a feedback analysis subsystem used for obtaining and analyzing feedback information of different types of readers to the publication finished by the current topic and performing storage. The system is in favor of efficiently and accurately perform publication topic selecting and issuing.

The invention provides a market state division method and device based on data analysis, computer equipment and a storage medium, and the method comprises the steps: obtaining market dynamic data of apreset time period from a database, the market state data being data capable of reflecting a financial market state; Obtaining a key inflection point in the market dynamic data in a preset time period; Obtaining market dynamic data between two adjacent key inflection points, and calculating corresponding rising and falling states according to a time sequence; Determining the market state of eachinterval according to the rising and falling states; generating Market state marks corresponding to intervals of the market dynamic data, wherein the market state mark comprises:a vibration rising state, a continuous rising state, a vibration falling state and a continuous falling state. The state of the market dynamic data is divided into four states by data analysis. so that a user can quickly and visually see the state corresponding to each section, and the market condition of the stock market can be quickly understood.

The invention discloses a trading information system of one-stop option and structured product, including clients and interoperable financial servers; wherein the client is arranged on the mobile terminal device, the client carries out data exchange with the interworking financial server by means of the mobile terminal device; the interworking financial server comprises a market data quotation machine, which is used for providing real-time market data; an intelligent control box: used to enhance the accuracy and validity of data; a transaction module: used for one-stop multi-party Unicom to carry out transactions; an intelligent push module: automatic recommendation algorithm and reinforcement learning configuration, customize terminal interface and data according to customer habits. Afteradopting the scheme, investors can quickly grasp the real-time market dynamics and carry out technical analysis.

The invention discloses a method for realizing a single commodity breakthrough by using a mobile phone APP. Correlated sales data of an enterprise information server are analyzed to obtain a performance indicator of each single commodity participating in promotion; on the basis of performance indicator comparison, a use is informed of a performance completion situation in real time; valuable related information is provided timely by pushing; and on the basis of a data analysis, sales ranking is carried out on stores and the staff. With the big data and mobile information techniques, information barriers existing among upstream manufacturers, terminal companies and the front-line staff are broken; related data are provided and are displayed in a graphic interface manner; and thus all parties can obtain dynamic market information in real time, so that problems can be solved. Therefore, the enterprises can be helped to obtain promotion effects timely and accurately; abnormal situations can be found out timely; adjustment can be carried out; and thus the work efficiency can be improved.

Embodiments of the invention relate to systems, methods, and computer program products for providing a market-dynamics network that assesses social and economic market dynamics in specific geographic regions. For example, the market-dynamics network collects transaction data from a large number of business-merchants across a large number of geographic locations and appends geographic-location identifiers to the collected transaction data. The market-dynamics network then aggregates transaction data in specific geographic regions and, based on the aggregated transaction data, assesses social and economic market dynamics in those geographic regions.

The disclosure provides a method and an apparatus for renewable-energy allocation based on reinforcement learning for an energy aggregator having an energy storage system (ESS) to coordinate renewable-energy allocation between energy suppliers and energy demanders. In the method, historical power-generation data of each supplier is collected and adapted to generate a renewable-energy index representing uncertainty of renewable energy. Multiple market indexes related to renewable-energy market dynamics are collected and integrated with the renewable-energy index and electricity information of the ESS to generate multiple states of a Markov decision process. The states are inputted to a reinforcement learning model to determine a price for the suppliers and the demanders. According to a supply amount and a demand amount proposed by the suppliers and the demanders in response to the price, the ESS coordinates the supply and demand of the renewable energy, and the reinforcement learning model is updated.

The invention relates to a light environment control system for plant growth. An information acquisition unit sends acquired information to a cloud server with first periodic segmented optical signalsmatched with the growth characteristics of a plant; the cloud server provides at least one growth control scheme for controlling the growth of the designated plant by means the interaction of the periodic segmented change law of light and the configuration components of growth elements on the basis of market dynamic information, growth characteristic information and / or growth element information;a control unit controls the configuration components of the growth elements on the basis of the growth control schemes and selects at least one lighting component in a lighting component network corresponding to the spatial location of the plant to illuminate with second periodic segmented optical signals in accordance with the growth control schemes; and the control unit controls acquisition modules located within the area of the designated plant to send and / or receive the acquired information with the second periodic segmented optical signals which are matched with the growth characteristics of the plant and follow the periodic segmented change law.

The invention discloses a method and system for realizing automatic sound recording of a pc-side and a mobile terminal. Through the method and system, the pc-side can automatically play audio files and send corresponding states to the mobile terminal when each audio file is started and ended. The mobile terminal can monitor and receive sound recording requests sent by the pc-side and carry out automatic sound recording, automatic ending and automatic storing. The system for realizing automatic sound recording of the pc-side and the mobile terminal is easy to operate, convenient to use and practical, the produced audio files can be recorded onto the mobile terminal in an automatic sound recording mode and then are used for carrying out more accurate audio recognition rate detection, the time for audio recognition rate detection can be shortened, and the efficiency is improved. In addition, each mobile terminal manufacturer has applications such as a sound assistant. Thus, the method and system for realizing automatic sound recording of the pc-side and the mobile terminal have great market dynamics.

The invention discloses a power supply planning method based on a game and market dynamic self-adaptive adjustment mechanism, and the method comprises the following steps: step 1, building a multi-poly power supply planning game model which is dynamically adjusted according to the market, and the model being composed of an objective function, a constraint condition, and a dynamic adjustment rule;and step 2, solving the multi-widow power supply planning game model by using a genetic algorithm, and determining load proportions of different power generation technologies.