383 results about "Transaction price" patented technology

A system and methods for processing and charting security exchange trading and market information shows security traders if current transactions originated as buy orders (810) or sell orders (812), and simultaneously indicates traded quantity. Security exchange trading information is received including price, volume and time of each trade. Market information is also received including bids and offers. The security exchange trading and market information is processed simultaneously and displayed as a continuously updated real-time chart (800) depicting the exchange auction process. The chart (800) is formed by plotting each trade at the price traded, and for each plot point shows a distinctive icon indication whether the transaction was initiated by a buyer (810) or seller (812).

The present invention provides market participants the ability to infer the current internal state, i.e., the depth and activity of active buyers and sellers, in a variety of markets, such as double-auction markets. The invention does so by measuring certain averages and correlations of various indicators of market liquidity and producing useful market liquidity assessments and trader recommendations as a result.

Various measures of market liquidity such as the bid-offer spread, the time to mid-market trade, spread fluctuations, deal rate, and bid and offer size are correlated, and monitored to assess a market's current internal state. From that information, the relationship between fluctuations in the bid price and the average number of buyers can be calculated to determine whether, for example, there is an excess of buyers or sellers in the market. Accordingly, based upon such calculations, accurate trader recommendations may be produced.

A method for use by buyers and sellers in the execution of trades. The price of each executed trade within the system is logged. Next, a trend line is derived from the logged trades. The trading fee for a particular trade is determined based on the difference between the trade's price and the trend line as well as the size of the trade. This fee is imposed upon the buyer if the price of the trade is below the trend line, or imposed upon the seller if the price of the trade is above the trend line. The market markers in each item are evaluated according to how narrow their spreads were at the time of each transaction, and receive periodic bonuses based on these evaluations. A “crisis fee” is imposed on trades in the system when particularly measured qualities exceed normal bounds.

The invention provides a data interactive processing method of an online transaction system and a bank system. The online transaction system comprises a third-party pavement platform. The method comprises the following steps: the user submits a loan request according to the user transaction price data transferred in the third-party pavement platform; the online transaction system converts the transaction price data into loan warranty information according to the request and sends the loan warranty information to the bank system; the bank system generates the loan information of the user according to the loan warranty information and converts the loan information of the user into the loan of the amount corresponding to the load information to the account of the user, and the account of the user includes the account of the user in the third-party pavement platform or the correlative bank account. The data interactive processing method of an online transaction system and a bank system can satisfy the online load requirement of the user, guarantee the high coupling of the user credit data and the loan data with the processing of the bank system, increase the accuracy of the credit evaluation of the bank and guarantee the interactive real-time performance, and enables the user to obtain better operating experience.

A method and system of generating a market settlement value for use with settlement of vehicle futures contracts traded on a commodities exchange. The system comprises a data repository that stores vehicle data files, a history filter operatively connected to the data repository and configured to filter select vehicle data files retrieved. The system further includes a matching engine operatively connected to the history filter for grouping files retrieved that have a common digit pattern within a manufacturer VIN code and a pricing engine operatively connected to the matching engine for accessing and processing transaction prices for a select group of vehicles to determine the market settlement value an identified vehicle. The market settlement value is used as an index price to assess gains and losses associated with vehicle futures contracts.

Systems, methods, and programs consistent with the present invention use the trading price for a fungible asset established in a continuous auction market as the set price for a call auction for the asset that occurs some time after the continuous market trade that establishes the trading price. Interested participants may submit orders at the established price that will be matched with complementary orders, if any have been submitted, when the call auction occurs, and a trade will be executed.

The invention provides a crowdsourcing task optimal allocation method and system. The method comprises the steps that firstly, according to the bidding condition of users, the number of the users selecting each task is counted; secondly, whether the set number of the users required by each task for crowdsourcing is smaller than the number of the users selecting the corresponding tasks is judged so as to determine whether to adjust the transaction price to achieve change of the number of the users selecting each task. In the whole process, on the basis of the transaction price set for crowdsourcing and the bidding condition of the users, the requirement of each task for the number of the users completing the task is met, so the crowdsourcing tasks are completed efficiently and orderly, and allocation of the crowdsourcing tasks is optimized.

The invention relates to an assessment method with the consideration to low-carbon scheduling and emission reduction benefit of carbon transaction, and the method comprises the steps: building a low-carbon power generation scheduling daily planning model, wherein the low-carbon power generation scheduling daily planning model comprises a carbon transaction model, a thermal power generating unit cost model with the consideration to the carbon transaction, a wind power cost model with the consideration to the carbon transaction, a low-carbon scheduling target function, and an emission reduction benefit calculation model; and obtaining the carbon emission with the consideration to the carbon transaction price and the emission reduction benefit, brought by the consideration of the carbon transaction cost, through the built model. The method can be used for providing an optimization control strategy for the daily power generation scheduling, reduces the carbon emission, improves the power generation proportion of clean energy, and quantifies the emission reduction benefit in a mode of low-carbon scheduling.

The invention provides a processing system and a processing method for a hotel order. The method comprises the steps: according to a search request of a user, searching a hotel product result which meets the search request; building the order according to selection of the user, wherein the order comprises a hotel product selected by the user at the time and a highest price given by a hotel; forming a pre-processed order according to a lowest transaction price, stored in a transaction historical data bank and within a pointed time range, of the hotel product in the order, wherein the pre-processed order is displayed to a hotel supplier; and according to a corresponding relation between the hotel product and the hotel supplier who can process the transaction of the hotel product, displaying the pre-processed order to the hotel supplier who corresponds to the hotel product in the pre-processed order.

The present invention relates to a carbon emission reduction based quantification method for environmental benefits of urban rail transit. The method comprises the following steps of: 1) establishing a basic database; 2) based on a passenger flow transfer mechanism, and according to survey data of residents around the rail transit and data of a road transport bureau, acquiring a carbon emission reduction amount of the rail transit reduced in rail transit operation; 3) based on a shadow price theory, and according to data of a statistical bureau, acquiring a carbon emission shadow price of the traffic industry; 4) based on a carbon transaction price model, and according to the carbon emission shadow price and data of a carbon transaction market, acquiring an actual carbon transaction price of the traffic industry; and according to the carbon emission reduction amount and the actual carbon transaction price, acquiring an environmental benefit monetary value generated by the rail transit operation. Compared with the prior art, the quantification method has the characteristics that factors such as the carbon emission reduction, the passenger flow volume, the carbon price and the like are taken into consideration, the environmental benefits generated by line operation of the urban rail transit are quantified, and a quantified entity can serve as a reference amount of carbon tax collection of governments.

A system and method which support securities transactions, preventing the market price from fluctuating when introducing a new set of securities to the public. In this trade support system, a trade processing unit processes buying and selling orders received online from customers' terminals. Each time a deal is completed, the trade price acquisition unit takes in the resultant trade price. A price evaluation unit determines whether the acquired trade price meets the offering price that is suggested in the prospectus of the public offering. If the former is lower than the latter, the price evaluation unit so notifies a trading order placement unit. A subscription period checking unit, on the other hand, checks whether the present date and time is within the subscription period. The trading order placement unit places a buying or selling order at a price within an allowable range around the suggested offering price, when an excessive difference between the trade price and suggested offering price is found during the subscription period. As a result of the above operation, the market price is stabilized during the subscription period.

The invention discloses a real estate value estimation method based on a statistic model and map surrounding resource influence factors. The artificial neural network statistic model is adopted, the current average transaction price of real estate is used as a base price, and the base factors influencing a housing price and the weight of the factors are adjusted to build a housing price estimation neural network model including an input layer, a middle hidden layer and an output layer. The average transaction price of the real estate and all influence factors are included in the input layer, the structure of the middle hidden layer is the core content of the method, and the output layer includes the estimation price of the real estate. The estimated value of the price of the real estate is not a black box operation based on the experience of estimators any more, and is a resource capable of being publically used by people, the influence of all environment factors and the influence factors on the housing price is graphically displayed more visually, and people are made to understand the estimation component of the housing value more clearly. The flow chart of the method is shown as an attached map.

The invention relates to a second-hand car price making system which comprises an information input module, a standard case data bank, an error factor adjustment data bank and a data processing module. According to the second-hand car price making system, standard cases with prices in a second-hand car trading market as a foundation serve as price estimation standards, dynamic error factor adjustment correction coefficients are introduced, so that estimated price is close to a market price, price estimation errors are reduced from traditional 10% to 5% and price estimation efficiency is high.

A virtual power plant security scheduling and transaction method based on a dual blockchain technology comprises a scheduling private chain for scheduling and a transaction alliance chain for transaction, adopts a hybrid proxy re-encryption algorithm based on a ciphertext strategy, and is formed by combining an identity-based encryption algorithm and an attribute proxy re-encryption algorithm based on the ciphertext strategy. The agent converts the ciphertext based on attribute encryption into the ciphertext based on identity encryption, so that the decryption cost of the data accessor is reduced, and the non-repudiation and reliability of production information are ensured. In the transaction process, a continuous bilateral auction mechanism based on reputation is adopted, participants can continuously adjust their own quotation according to the current electric quantity transaction price, benefit maximization is achieved, transaction information and a reputation value are recorded inan alliance chain, and tamper resistance and transparency of the information are guaranteed. A low-cost, open and transparent information and transaction platform is provided for a virtual power plant, and the safety, tamper resistance, non-repudiation, integrity and the like of data are guaranteed.

The invention relates to a graphicalization management system and a graphicalization management method of financial instruments. The system comprises a storage unit, a display unit and a processing unit. The storage unit comprises a sum of transaction data corresponding to one financial instrument, wherein the transaction data at least records one transaction action, one transaction price and one transaction quantity. For the transaction data, the processing unit generates one prompting diagram form according to the transaction action and the transaction quantity, the transaction action determines the color of the prompting diagram form, and the transaction quantity determines the size of the prompting diagram form. Then the processing unit displays the prompting diagram form on a designated position of the corresponding transaction price in a display interface through the display unit.

An embodiment of the invention provides a server, a device and a method for detection of transaction data. The method includes: receiving transaction data sent by a transaction terminal; analyzing the transaction data to generate a first multi-component system which comprises a first code, a first time and a transaction price; acquiring a reference price from a reference database according to the first code and the first time; and if the difference value between the transaction price and the reference price exceeds a preset first threshold, outputting a warning message which contains the first multi-component system. The server, the device and the method for detection of transaction data solve the problems of complexity in statistics and large data volume of detection methods in the prior art, and performances and efficiency in detection of transaction behaviors are further improved.

The invention discloses a method and apparatus for predicting goods price. The method includes the steps of determining a target good, of which the price is to be predicted by a user, obtaining the transaction price data of the target good of the user, obtaining the price reference data that affect the price of the target good, pre-treating the transaction price data and the price reference data, obtaining input data matching with a preset prediction model, inputting the input data in the preset prediction model, and obtaining the predicted price of the target good. When the technical scheme is used for predicting the price of a target good, the transaction price data and price reference data are taken into consideration. The prediction accuracy can be improved, and effective reference can be provided to actual operation behavior of the user.