86 results about "Price fluctuation" patented technology

A system for correctly evaluating a price distribution and a risk distribution for a financial product or its derivatives introduces a probability density function generated with a Boltzmann model at a higher accuracy than the Gaussian distribution for a probability density. The system has an initial value setup unit and an evaluation condition setup unit. Initial values include at least one of price, price change rate, and the price change direction of a financial product. The evaluation conditions include at least time steps and the number of trials. The Boltzmann model analysis unit receives the initial values and the evaluation conditions, and repeats simulations of price fluctuation, based on the Boltzmann model using a Monte Carlo method. A velocity/direction distribution setup unit supplies the probability distributions of the price, price change rate, and the price change direction for the financial product to the Boltzmann model analysis unit. A random number generator for a Monte Carlo method employed in the analysis by the Boltzmann model, and an output unit displays the analysis result. A dealing system applies the financial Boltzmann model to option pricing, and reproduces the characteristics of Leptokurcity and Fat-tail by linear Boltzmann equation in order to define risk-neutral and unique probability measures. Consequently, option prices can be evaluated in a risk-neutral and unique manner, taking into account Leptokurcity and Fat-tail of a price change distribution.

A system and method for predicting price fluctuations in financial markets. Our approach utilizes both market history and public news articles, published before the beginning of trading each day, to produce a set of recommended investment actions. We empirically show that these markets are surprisingly predictable, even by purely market-historical techniques. Furthermore, analyzing relevant news articles captures information features independent of the markets history, and combining the two methods significantly improves results. Capturing usable features from news articles requires some linguistic sophistication the standard naïve bag-f-words approach does not yield predictive features. Instead, we use part-of-speech tagging, dependency parsing and semantic role labeling to generate features that improve system accuracy. We evaluate our system on eight political prediction markets from 2004 and show that we can make effective investment decisions based on our systems predictions, whose profits greatly exceed those generated by a baseline system.

The invention discloses a load balancing method and system facing mixed cloud application and a corresponding mixed cloud load balancing system. Aiming at the fact that a cloud tenant uses mixed clouds to calculate IaaS (infrastructure as a service) platform deployment application, the invention solves the problem of load balancing of the application under a multi-cloud environment. The system and method use a layered load balancing mechanism, load state information and resource state information of private clouds and public clouds are dynamically collected by a heartbeat packet at an upper layer, and issuing priorities of tasks to respective clouds are adjusted; at a lower layer, and LBaaS (load balancing as a service) internally provided form the clouds is used to perform load balancing among virtual machines. During outbreak of the cloud application, the public cloud with the highest cost performance can be selected for resource extension according to price fluctuation of the public clouds and the requirement of the cloud tenant on the minimal cost budget. According to the invention, the cloud tenant can be helped to customize application requirements per se when using the mixed clouds, and automatically select a cloud resource use scheme with the highest cost performance.

A methodology including a concept, a process and a program for optimizing the return of an investment portfolio are disclosed. Pre-selected stocks are swapped in function of their inter-related price fluctuations. As soon as a stock rises more than say 15% compared to other stocks, half of it is sold to acquire the cheaper shares. By doing so systematically for all possible stock combinations, the number of shares increase gradually and eventually their values, as compared to a classic buy-and-hold strategy or a global index. The process includes a mechanism that creates and exploits multiple stock combinations, growing sharply with the number of stocks held. A spreadsheet traces actual share-price correlation and manages the portfolio, starting from a buy and hold strategy, applying a buy-low and sell-high tactic, and containing risk through build-in stops. Thereby an adapted stock screening program is provided, enabling to construct a diversified portfolio with correctly priced, good value stocks.

A method of creating a price prediction model that forecasts short-term price fluctuations in financial instruments by collecting, analyzing and classifying financial news for a financial instrument into categories. Distributions for the changes in price of the financial instrument for a set period of time and distributions for the changes in price of the financial instrument as a result of the financial news for each news category for a set period of time are then obtained. If the distributions for the changes in price of the financial instrument are statistically significantly different than the distributions for the changes in price of the financial instrument for a particular news category, and the mean for the change in price is greater or less than zero, a signal is produced indicating the trading action that should be taken for the financial instrument.

This invention has the potential to generate very good return on investments from stocks that are conservative in movement. This invention will greatly benefit investors that do not have the time to constantly trade stock yet want to take advantage of normal price fluctuations. The Limit Order Coupled LinK (LOCK) invention, for example, will take a buy order, complete the transaction at the specified price, then automatically resubmits a new order to sell at a specified higher price. If specified, the process can automatically cycle through the buy-sell process a set number of time allowing the investor to take advantage of intra-day market moves and normal stock price fluctuations with no personal investor evolvement. The LOCK order, with set profit margins, allows on-line traders and brokers to place one order, which will automatically generate logical, sequenced additional orders returning a profit on each transaction. LOCK will benefit both the investor and the stock trading company.

The invention discloses a method for quickly dissolving a high-purity rhodium material. A precious metal insoluble rhodium material is mixed with an acid liquid and an oxidant according to a certain proportion and then placed into a customized pressure container, the temperature is controlled to between 160 and 300 DEG C, the oxygen partial pressure is between 0 and 3.0MPa, the reaction time is between 1 and 8 hours, the precious metal rhodium material is quickly dissolved under high temperature and high pressure to produce an acid rhodium solution, the dissolution ratio is more than 98 percent, and the yield is more than 99 percent. The method has the advantages of short flow, short production period, high dissolution efficiency, environmental protection, high yield, low cost, energy conservation and so on, has important popularization value in precious metal industry refining and compound production fields, can reduce the dispersion of precious metal, shorten production period, reduce capital overstocking, and reduce the risk caused by the price fluctuation of the precious metal.

The invention relates to an adapter device (10) and a method for charging a vehicle (20), having an interface (11) for detecting internal vehicle operation data (30) containing factors which report driving habits according to lifestyle, and an interface (12) for detecting details related to the fluctuation of energy prices (31), having a device (13) for detecting and planning requirements, said device (13) being designed for deducing an energy requirement profile (40) using the vehicle operation data (30) and for producing a future requirement plan based on at least one of the named factors, said device (13) further being suitable for deducing the duration and frequency of vehicle down times (41, 41') by incorporating the requirement plan, having a charging optimizing device (14) which isdesigned for comparing the vehicle down times (41, 41') with the energy price fluctuation (31) details and for producing a vehicle charging plan (42) which is optimized for time and/or price and is based on the results of the comparison, and having a charging control unit (15) which is designed for charging the vehicle (20) from an energy storage (21) in a manner controlled by the charging plan.

The invention discloses a blockchain-based multi-currency transaction fee collection method. The method comprises the following steps of calculating a commission according to a transaction size, preferentially using gas billing and directly switching the token billing if a gas payment fee is insufficient, and completely transferring normal transaction gas and using token billing if a transaction currency is token. According to the method, the transaction cost is reduced by optimizing a transaction fee, the billing token is distinguished to be in a relatively stable range, and the price fluctuation is small. The participation of the mining machine is reduced, resources are saved, the difficulty of mining is reduced, a mining reward mechanism is canceled, the time of block out is improved, speculative behaviors are reduced, the transaction cost can be flexibly set, and the method is suitable for different business needs.

The invention discloses a Y-Fe-based rare-earth hydrogen storage material and a preparation method thereof. The component composition of the hydrogen storage material is Y1-xMxFe3-yNy, wherein x is not less than 0 and not greater than 0.5; y is not less than 0 and not greater than 1.5; M is one or more than two of La, Ce, Pr, Nd, Sm, Gd, Zr, Ti and Mg; and N is one or more than two of Ni, Co, Al,Mn and Ca. The preparation method thereof comprises the following steps: (1) material preparation: weighing pure metals or the alloys thereof according to the chemical composition components separately, carrying out cleaning treatment on the raw materials, and then carrying out roasting degassing; (2) smelting: smelting through a vacuum medium-frequency induction smelting furnace or a vacuum electric-arc furnace; (3) pouring: rapidly condensing to obtain a cast ingot in a manner of water-cooling die pouring or vacuum suction casting; and (4) crushing the cast ingot under the protection of argon gas atmosphere, and sieving to obtain a particle powder with a particle size of 30-40 meshes. The hydrogen storage material disclosed by the invention is low in activation temperature, high in hydrogen absorption speed, and applicable to many fields of energy storage, hydrogen purification and the like. Compared with La-Ni-series hydrogen storage materials, Fe is lower in price fluctuation thanNi and lower in material cost.

The invention discloses an AC and Dc mixed micro-grid operation optimization method based on time-domain rolling control. The method comprises: (1) establishing an AC and DC mixed micro-grid linear model, (2) establishing a distributed power supply output prediction and AC and DC load prediction model, (3) establishing an optimization target function comprising robustness and economy performance, and selecting appropriate optimization targets according to different operation sates of grid-connected operation and off-grid operation of an AC and DC mixed micro-grid, (4) through adoption of a time-domain rolling control method, performing optimization control on a target power distribution network, and (5) performing the rolling time-domain control, and repeating the steps (2)-(4) at t+1 moment until the control ends. Influences brought by renewable energy output power, an energy price fluctuation and a load prediction error are eliminated trough feedback corrections, and, aiming at the different operation states of the AC and DC mixed micro-grid, the different optimization targets are adopted to improve the robustness in the off-grid operation state and the economy performance in the grid-connected operation state.

The invention relates to the technical field of price data band judgment in a stock market, in particular to a calculation method of a stock average line system intelligently adapting to a market. The calculation method is characterized in that the stock average line is calculated by adopting a self-adaptive curvilinear equation, different weights and price fluctuation efficiency are introduced for describing the influence of past daily price on the stock average system, and the golden crossing and dead crossing of a self-adaptive curve and a price trend curve are used for guiding buying-selling operation. Compared with the prior art, the calculation method adopts the self-adaptive curve for calculating the stock average line and calculating optimized parameters, can intelligently adapt to the domestic stock market and timely judge buying-selling signals by the golden crossing and dead crossing with the price trend curve; and the calculation method is simple, convenient and feasible, thereby providing better investment references for investors.

The invention discloses a live pig breeding planning method and system. According to the live pig breeding planning method and system provided by the invention, discretization classification processing is carried out on pork price fluctuation intervals and fluctuation intervals of all associated input factors through clustering analysis, and then discretization classification data are utilized totrain a Bayesian network model; then, the time sequence model is combined with the extreme learning machine, the prediction precision of input factors in the Bayesian network model is further improved, and finally, the probability distribution of pork price fluctuation belonging to each pork price fluctuation interval is predicted based on the visual causal dependency relationship between variables in the network. The pig breeding enterprises or farmers can plan piglet feeding quantity and time, manpower and material input and live pig slaughtering quantity and time in live pig breeding according to future price fluctuation probability distribution, waste of manpower and materials in the live pig breeding process is reduced, and the live pig breeding benefits are guaranteed.

The invention provides an object renting and selling system with object price fluctuation as a display basis. The object coverage range includes house buying, housing selling, house renting and surrounding services related to houses. The object renting and selling system comprises a terminal device and a server. The terminal device moves through a map user interface of the terminal device to search for object information and specific facility information. The server is provided with a database. The object information and the specific facility information are stored in the database. When price fluctuation of the object information occurs, the database will carry out price fluctuation mark on the object information correspondingly on the map user interface, and information content will be displayed when a user selects the price fluctuation mark; icon marks corresponding to specific facilities will appear on the map user interface by the database according to the fact whether the user sets the specific facility display information or not, and when the user selects the icon marks of the specific facilities, the information content of the icon marks will be displayed.

The invention provides a food price supervision method, an apparatus and a system. The method comprises the steps: a supervision server sends a first request message to a purchase server, wherein thefirst request message is used for requesting to obtain the current quotation information and the historical quotation information of a plurality of food material suppliers bound to the first purchaser; and when the supervision server determines the quotation floating rate of any one of the food material suppliers exceeds the first price floating range according to the received current quotation information and the historical quotation information fed back by the purchase server, the first warning information is generated and sent, wherein the first warning information is for indicating to thepurchase server that the first purchaser has the risk of purchase price deviation. When the quotation floating or the package price fluctuation exceeds the set standard, warning is given to the purchase server and the purchase server puts forward reasonable suggestions to adjust the package price or the purchase-supply relationship or the proportion of the food materials in the package so that thequotation fluctuation and the package price fluctuation can be controlled within a reasonable range.

The invention relates to a transformer price evaluation method based on equipment composition. The method comprises the following steps: estimating the costs of transformers; performing multiple regression on the quantity demanded, concentration ratio and bidding strategy data of the transformers, judging the goodness-of-fit through correlation indexes, index goodness-of-fit and determination indexes, and acquiring a functional relationship among profit, transformer demand, concentration ratio and bidding strategy through significance testing; sequencing dispersion degrees of random price components of a certain type of transformers at a price historical data point, and eliminating individual sample points with high dispersion degrees, so as to obtain a price fluctuation interval pss and further obtain a transformer price evaluation model; evaluating transformer prices according to the transformer price evaluation model, so as to reduce the equipment procurement cost and engineering investment risk.