CN109102403A - A kind of analogy method of generation and adjustment oil product trade market environmental data - Google Patents
A kind of analogy method of generation and adjustment oil product trade market environmental data Download PDFInfo
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- CN109102403A CN109102403A CN201810894523.3A CN201810894523A CN109102403A CN 109102403 A CN109102403 A CN 109102403A CN 201810894523 A CN201810894523 A CN 201810894523A CN 109102403 A CN109102403 A CN 109102403A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
Abstract
The present invention relates to the analogy methods of a kind of generation and adjustment oil product trade market environmental data, comprising the following steps: generates multiple price ratios at random within a predetermined range by random function, draws out international crude oil price ratio curve using figure drawing technique；Using graphics plotting, international crude oil price ratio curve is adjusted, with the oil price ratio data generated before oil price ratio data adjusted replacement；The first day price of international crude petroleum is set, calculates international crude oil price, simulation calculates the general bavin in contest market environment and derives price, and then ordinary diesel oil price is calculated.The present invention uses computer modeling technique, pass through the comparison and analysis to China Diesel market price historical trading data and international crude oil price curve data, it derives linear relationship between the two, and realizes the function of generating the China Diesel market price in such a way that simulation calculates according to international crude oil price curve data.
Description
Technical field
The present invention relates to data processing field more particularly to the moulds of a kind of generation and adjustment oil product trade market environmental data
Quasi- method.
Background technique
" oil market wind and cloud " is a live contest class training project of middle petrochemical industry, strengthens sale plan by combat exercise mode
Slightly optimization with it is perfect.Training project is by the tissue of teaching corps, and according to parameters such as setting transaction daily ranges, simulation is for a period of time
Oil product trade market environmental data.By the way of the student simultaneously participated in is vied for purchase and vied for selling using scene, in the form of actual combat transaction
The sales tactics that pre-games is drafted is practiced, and passes through the profit and loss after the practical operation and conclusion of the competitions during analysis comparison contest
Data, it is constantly excellent to protect and improve sales tactics.
When the prior art is ready for the oil product trade market environmental data of contest, excel need to be used by start-up
It is manually entered and writes a large amount of oil product trade markets environmental data, write that work is heavy, typing workload is huge, data often occur
Mistake checks the very difficult of wrong data, and the modification after checking wrong data is more difficult.Safeguard oil product trade market
Environmental data is inherently difficult, and it is even more impossible to safeguard the international crude oil price etc. as the reference of oil product trade market environmental data
A variety of related datas.This also become conventional method tissue sale contest and real trade environment still have the reason of certain gap it
One.
Summary of the invention
It is an object of the present invention in place of solving the above deficiencies in the existing technologies.
To achieve the above object, the present invention provides the simulation side of a kind of generation and adjustment oil product trade market environmental data
Method, comprising the following steps:
Multiple price ratios are generated at random within a predetermined range by computer language random function, and according to the more of generation
A price ratio draws out international crude oil price ratio curve using figure drawing technique；Using graphics plotting, pass through mouse
The mode of mark towing adjusts international crude oil price ratio curve, and according to curve adjusted, with oil price ratio number adjusted
According to the oil price ratio data generated before replacement；The first day price for setting international crude petroleum, according to price ratio and first day price meter
Calculation obtains international crude oil price；It is simulated and is calculated for the oil product trading market data in contest of trading according to international crude oil price,
For example ordinary diesel oil derives price；Price is derived further according to general bavin, and general bavin price is calculated as contest in conjunction with Optimal Parameters
Oil product trading market data.
Preferably, the minimum value of preset range is 0%, maximum value 100%.
Preferably, figure drawing technique is ECharts.
Preferably, according to international crude oil price, simulation is calculated for the oil product trading market data in contest of trading, such as
Pu Chai derives price, specifically includes: calculating according to the following formula,
Pu Chai derives price=price simulation constant+average price of international crude petroleum five days × tri- ground rate coefficient of elasticity
Wherein, price simulation constant is a numerical value, and international crude petroleum average price on the five is first five workaday world of the same day
The average price of crude oil, three ground rate coefficient of elasticity are calculated and are chosen according to three ground rate of international crude petroleum.
It is further preferred that three ground rate of international crude petroleum obtains in the following manner:
The international international crude petroleum valence of a price adjustment day of three ground rate of international crude petroleum=same day international crude petroleum average price on the five/upper
Lattice -1.
Preferably, price is derived according to general bavin and in conjunction with Optimal Parameters ordinary diesel oil price is calculated, especially by with
Lower formula is calculated:
Ordinary diesel oil price=general bavin derives price × Optimal Parameters.
Preferably, the range of Optimal Parameters is 50%-60%.
Preferably, Optimal Parameters 55.57%.
The beneficial effects of the present invention are: the present invention uses computer modeling technique, by oil product trade market environment number
According to the comparison and analysis of historical trading data and international crude oil price curve data, linear relationship between the two is derived, and
Realize the function for generating oil product trade market environmental data in such a way that simulation calculates according to international crude oil price curve data
Energy.
Detailed description of the invention
Fig. 1 is the analogy method of a kind of generation and adjustment oil product trade market environmental data provided in an embodiment of the present invention
Flow diagram；
Fig. 2 is a kind of international crude oil price ratio graph obtained according to price ratio provided in an embodiment of the present invention；
Fig. 3 is that international crude oil price ratio when Fig. 2 provided in an embodiment of the present invention is adjusted by mouse drag mode is bent
Line chart；
Fig. 4 is Fig. 2 provided in an embodiment of the present invention bent by mouse drag mode international crude oil price ratio adjusted
Line chart.
Specific embodiment
With reference to the accompanying drawings and examples, technical scheme of the present invention will be described in further detail.
The present invention provides the analogy method of a kind of generation and adjustment oil product trade market environmental data, and flow diagram is such as
Shown in Fig. 1, comprising the following steps:
Step S101 generates multiple price ratios, and root by computer language random function at random within a predetermined range
According to multiple price ratios of generation, international crude oil price ratio curve is drawn out using figure drawing technique.
Specifically, by computer language random function in given range: minimum M in=0% and maximum value Max=
Price ratio is generated in 100% at random, and draws out the world using graphics plotting according to a series of price ratios of generation
Crude oil price ratio curve.
In one example, graphics plotting selects ECharts.
Step S102 adjusts international crude oil price ratio curve using graphics plotting by way of mouse drag,
And according to curve adjusted, with the oil price ratio data generated before oil price ratio data adjusted replacement.
In one example, graphics plotting selects ECharts.
International crude oil price ratio graph before adjustment is as shown in Fig. 2, the process adjusted by way of mouse drag
As shown in figure 3, international crude oil price ratio graph adjusted is as shown in Figure 4.
Step S103 sets the first day price of international crude petroleum, must be gone abroad according to price curve ratio and first day calculation of price
Border crude oil price.
In one example, the first day price of international crude petroleum is 89 dollars.
Step S104, according to international crude oil price, simulation calculates the general bavin in contest market environment and derives price.
Its calculation formula is
Pu Chai derives price=price simulation constant+average price of international crude petroleum five days × tri- ground rate coefficient of elasticity
Wherein, price simulation constant is a numerical value, initial value 3650, and simulating different contest environment every time can be into
Row up and down adjustment, international crude petroleum average price on the five is the average price of first five workaday international crude petroleum of the same day；
Three ground rate coefficient of elasticity are from the numerical value chosen between (A, B), according to three ground rate (percentage) of international crude petroleum
It calculates and chooses.
Three ground rate coefficient of elasticity=A+ international crude petroleum three ground rates × (B-A)
The international crude oil price -1 of a price adjustment day of three ground rate of international crude petroleum=same day international crude petroleum average price on the five/upper.
In one example, A=31.2, B=35.2, i.e.,
Three ground rate coefficient of elasticity=three ground rate × 4 of 31.2+ international crude petroleum.
Step S105 derives price according to general bavin and ordinary diesel oil price is calculated in conjunction with Optimal Parameters.
Ordinary diesel oil price=general bavin derives price × Optimal Parameters.
In one example, the range of Optimal Parameters is 50%-60%.
In one example, the value 55.57% of Optimal Parameters.
It should be appreciated that the range of above-mentioned Optimal Parameters can change according to design requirement.
Above specific embodiment has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
Illustrate, it should be understood that the above is only a specific embodiment of the invention, the protection model that is not intended to limit the present invention
It encloses, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the present invention
Protection scope within.
Claims (8)
1. the analogy method of a kind of generation and adjustment oil product trade market environmental data, which comprises the following steps:
Multiple price ratios are generated at random within a predetermined range by computer language random function, and according to multiple valences of generation
Lattice ratio draws out international crude oil price ratio curve using figure drawing technique；
Using graphics plotting, international crude oil price ratio curve is adjusted by way of mouse drag, and according to adjustment after
Curve, with oil price ratio data adjusted replacement before generate oil price ratio data；
The first day price for setting international crude petroleum, obtains international crude oil price according to price curve ratio and first day calculation of price；
According to the international crude oil price, simulation calculates the general bavin in contest market environment and derives price；
Price is derived according to the general bavin, and ordinary diesel oil price is calculated in conjunction with Optimal Parameters.
2. analogy method according to claim 1, which is characterized in that the minimum value of the preset range is 0%, maximum value
It is 100%.
3. analogy method according to claim 1, which is characterized in that the figure drawing technique is ECharts.
4. analogy method according to claim 1, which is characterized in that described according to the international crude oil price, simulation meter
The general bavin calculated in contest market environment derives price, specifically includes: calculating according to the following formula,
Pu Chai derives price=price simulation constant+average price of international crude petroleum five days × tri- ground rate coefficient of elasticity
Wherein, price simulation constant is a numerical value, and international crude petroleum average price on the five is first five workaday international crude petroleum of the same day
Average price, three ground rate coefficient of elasticity are calculated and are chosen according to three ground rate of international crude petroleum.
5. analogy method according to claim 4, which is characterized in that the three ground rate of international crude petroleum obtains in the following manner
It arrives:
The international crude oil price -1 of a price adjustment day of three ground rate of international crude petroleum=same day international crude petroleum average price on the five/upper.
6. analogy method according to claim 1, which is characterized in that it is described that price is derived according to the general bavin, in conjunction with excellent
Change parameter, ordinary diesel oil price be calculated, specifically includes: being calculated by the following formula to obtain,
Ordinary diesel oil price=general bavin derives price × Optimal Parameters.
7. analogy method according to claim 6, which is characterized in that the range of the Optimal Parameters is 50%-60%.
8. analogy method according to claim 7, which is characterized in that the Optimal Parameters are 55.57%.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110458607A (en) * | 2019-07-23 | 2019-11-15 | 南方电网科学研究院有限责任公司 | A kind of market clearing price analysis of Influential Factors system |
| TWI754407B (en) * | 2020-10-06 | 2022-02-01 | 臺灣銀行股份有限公司 | Crude oil diversified trading system and method thereof |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6061662A (en) * | 1997-08-15 | 2000-05-09 | Options Technology Company, Inc. | Simulation method and system for the valuation of derivative financial instruments |
| CN104077946A (en) * | 2014-07-24 | 2014-10-01 | 广西职业技术学院 | Analog electronics technique practice system and method with random variable circuit parameters |
| CN106203840A (en) * | 2016-07-13 | 2016-12-07 | 欧阳张睿 | Scheme information automatic generation method |
| CN107256146A (en) * | 2017-05-19 | 2017-10-17 | 上海电机学院 | A kind of order generator for simulation teching |
| CN108268201A (en) * | 2018-01-23 | 2018-07-10 | 国网甘肃省电力公司 | A kind of electric power data chart processing method based on dragging re-computation |
-
2018
- 2018-08-08 CN CN201810894523.3A patent/CN109102403A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6061662A (en) * | 1997-08-15 | 2000-05-09 | Options Technology Company, Inc. | Simulation method and system for the valuation of derivative financial instruments |
| CN104077946A (en) * | 2014-07-24 | 2014-10-01 | 广西职业技术学院 | Analog electronics technique practice system and method with random variable circuit parameters |
| CN106203840A (en) * | 2016-07-13 | 2016-12-07 | 欧阳张睿 | Scheme information automatic generation method |
| CN107256146A (en) * | 2017-05-19 | 2017-10-17 | 上海电机学院 | A kind of order generator for simulation teching |
| CN108268201A (en) * | 2018-01-23 | 2018-07-10 | 国网甘肃省电力公司 | A kind of electric power data chart processing method based on dragging re-computation |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110458607A (en) * | 2019-07-23 | 2019-11-15 | 南方电网科学研究院有限责任公司 | A kind of market clearing price analysis of Influential Factors system |
| CN110458607B (en) * | 2019-07-23 | 2022-06-14 | 南方电网科学研究院有限责任公司 | Electric power market price influence factor analysis system |
| TWI754407B (en) * | 2020-10-06 | 2022-02-01 | 臺灣銀行股份有限公司 | Crude oil diversified trading system and method thereof |
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Application publication date: 20181228 |