CN101794430A - Fully-automatic stock operation server - Google Patents
Fully-automatic stock operation server Download PDFInfo
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- CN101794430A CN101794430A CN201010109231A CN201010109231A CN101794430A CN 101794430 A CN101794430 A CN 101794430A CN 201010109231 A CN201010109231 A CN 201010109231A CN 201010109231 A CN201010109231 A CN 201010109231A CN 101794430 A CN101794430 A CN 101794430A
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Abstract
The invention relates to a fully-automatic stock operation server, belongs to the field of computer server, and aims to realize automated stock operation with a high success rate and stable profit. The fully-automatic stock operation server consists of an IE client browser, an MT4 or stock trading software, HTTP web server software, a core database, a scheduling program, an MQ4 intelligent trading program developing platform, a stock software background developing platform, and a stock operation core control program. The fully-automatic stock operation server has the advantages of automatic stock operation, capability of overcoming subjective and emotional errors of artificial market analysis and stock operation, high success ratio, high stability and high profit; the core stock operation algorithm of the system is tested by long-term historical data and real-time data, which proves that stock operation profit success ratio is over 90 percent, the profit curve straightly rises, the annual investment return is over 50 percent, and the fully-automatic stock operation server is suitable to be used by people engaged in investment and market analysis of financial security.
Description
Technical field
The claimed technical scheme of the present invention is the stock operation server of a kind of foreign exchange, futures, stock financial instrument kind, a kind of specifically fully-automatic stock operation server, and it is particularly suitable for financial class personage and mechanism uses.
Background technology
Just present: existing foreign exchange, futures, stock financial instrument are scalped still to add manually based on single software mostly and are scalped, this type of single software scalp internalise and changeable in mood error pilosity, so this type of financial product can not adapt to the needs of modern finance industry.
Summary of the invention
The objective of the invention is to solve above-mentioned weak point of the prior art, and a kind of fully-automatic stock operation server of developing.
Technical solution of the present invention is; By IE client browser, MT4 or stock exchange software, HTTP web server software, core database, scheduler program, MT4 or stock exchange software, MQ4 intelligence transaction program development platform and stock software backstage development platform, the core of scalping control program; Constitute fully-automatic stock operation server.
Described fully-automatic stock operation server, its combination of hardware condition is; Mainboard: the above configuration of Intel 5000X, CPU:E5410, internal memory: 4G, hard disk: 1T, network interface card: 100M/1G.
The described core control program of scalping is made of following three parts:
One. taking advantage of a situation surmounts sales law
This software of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on Dow Theory and Wave Theory basis, the concrete operations step is as follows:
A. direction opens a position
The direction that opens a position is bought/is sold bill in equal wire system judgement with the large period market.
B. the amount of opening a position
Determine each corresponding position in storehouse of dynamic calculation by the capital quantity of employing less than 1/3rd at every turn according to the fund size.
C. market classification analysis
The sentiment undertone in financial investment markets such as stock, warrant, futures, foreign exchange always meets Dow Theory and the described frequent fluctuation in big trend direction forever of Wave Theory, but because the antagonism of the influence of how empty both parties' mental emotion and capital quantity has deduced the tendency of three kinds of market, promptly monolateral rising quotations, monolateral bearish market and check and regulate market.
Originally the method for scalping is by carrying out the symbolic characteristic that three kinds of market are extracted in quantitative analysis to the arrangement of average line index system and the opening and closing degree of Boll index system, thereby accurately market conditions are distinguished, and calculated the high probability zone that sentiment undertone counter-rotating takes place or breaks through.
D. condition opens a position
When the large period market are in monolateral rising or when drop, the opposite tendency with large period appears in the minor cycle market, and price when running to the high probability counter-rotating of aforementioned calculation or thrust area then suitable large period market trend open a position.
E. risk control with dynamically close a position
Originally the method for scalping all can be determined a fixing stop loss limit (being drawn by trade variety) immediately after intelligent algorithm optimization when whenever holding the operation of storehouse, just risk is controlled in the limited range at the initial stage of opening a position, the calamity loss that causes thereby the reply market are suddenlyd change, but make when opening a position the appearance profit when the certain counter-rotating of market, immediately stop loss limit is adjusted to position more than or equal to the cost price that opens a position, and constantly tracking adjustment with the continuation operation of market, if and the market readjustment price of the time closing a position also is not less than the cost that opens a position, thereby make profit the time allow the profit maximization, and also be unlikely to loss during readjustment.
F. the adaptation of investment market and kind
Because the market characteristics of having nothing in common with each other in investment markets such as stock, warrant, futures, foreign exchange, and the inside also has some trade varieties, every kind of market attributive character that oneself is all arranged, so when doing concrete analysis and scalping, originally it is foundation that the method for scalping needs with the historical data, and to the above-mentioned index system of mentioning, add weight with neural network algorithm, it is the characteristic attribute value of market kind, and adopt genetic algorithm that it is made computation optimization, making originally, the method for scalping is adapted to operated investment market and kind.
G. the robotization transaction of scalping
Originally the method for scalping has realized the transaction of sequencing machinery, instant analysis was judged the current decision-making of scalping when program received the market variation, realize that in the transaction interface that opens a position, end to decrease is provided with, calls when closing a position transaction platform full automatic intelligent machine scalps, mood and psychology are to the influence of the operation of scalping when avoiding manually scalping.
8. test result and performance
The test of the method for originally scalping historical data discs and 2 years true market through 10 years, the profit success ratio can reach about 90%, and the earnings yield curve is almost near 45 degree straight lines, and the profit performance is quite sane.
H: take advantage of a situation and break through the dynamic tracking method
This method of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on the Wave Theory basis, the concrete operations step is as follows:
A. calculate the short-term, mid-term of current trade variety market, the highest/minimum point for a long time.
B. hang the buyer to the transaction order in the high slightly position of current quotations peak in mid-term.
C. when market reach the buyer to transaction order position and opening transaction, the short-term minimum point is made as only damage position.
If d. market do not reach and hang unit and put, when promptly not opening a position, recomputate short-term, mid-term, the dealing of the highest/minimum point, and corresponding adjustment for a long time of current quotations and hang single price.
E. the order that strikes a bargain to opening a position is followed the tracks of according to the tendency of market and is only decreased and dynamically arrange the operation of only being full of a little, follows the readjustment of market or moves ahead and finish the operation of closing a position.
If f. market reach and break through the highest for a long time/during minimum point, add the storehouse operation.
Three: the cambiale jus of taking advantage of a situation is joined in electrodeless change
This method of scalping is applicable to foreign exchange, futures, stock financial instrument kind, uses in the extension in financial market based on the electrodeless variable-speed theory, and the concrete operations step is as follows:
A. the historical quotes to the investment instrument of being concluded the business carries out the artificial intelligence analysis, specifically adopts neural network and genetic algorithm, converses the matching relationship of the shock range and the trend indicator parameter of this investment instrument.
B. in current quotations, measure the shock range of current quotations.
C. according to the shock range data of above-mentioned measurement, select the parameter of the index of corresponding trend according to matching relationship.
D. judge the signal that opens a position of current trend indicator, as send then and buy/sell the operation that opens a position.
E. continue to measure the shock range of current quotations, and adjust the parameter of trend indicator according to matching relationship.
F. send when closing a position signal when trend indicator, carry out the operation of closing a position.
The present invention has:
1. high success rate, stable profit, robotization are scalped.
2. full-automation is scalped, the internalise and the changeable in mood error that overcome artificial quotation analysis and scalp.
3. high success rate, high stability and high-profit property, the core of the system algorithm of scalping is subjected to the check of long history data and real time data, proving the profit success ratio of scalping more than 90%, and the profit curve is straight upwards, and investment year repayment is more than 50%.
4. adapt to various financial instrument kinds and market.
Description of drawings
Fig. 1 is an automatic stock operation server network chart of the present invention.
Fig. 2 is the pie graph of automatic stock operation server.
Embodiment: the present invention is further described below in conjunction with specific embodiment:
By IE client browser, MT4 or stock exchange software, HTTP web server software, core database, scheduler program, MT4 or stock exchange software, MQ4 intelligence transaction program development platform and stock software backstage development platform, the core of scalping control program; Constitute fully-automatic stock operation server.
Described fully-automatic stock operation server, its combination of hardware condition is; Mainboard: the above configuration of Intel 5000X, CPU:E5410, internal memory: 4G, hard disk: 1T, network interface card: 100M/1G.
The described core control program of scalping is made of following three parts:
One. taking advantage of a situation surmounts sales law
This software of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on Dow Theory and Wave Theory basis, the concrete operations step is as follows:
A. direction opens a position
The direction that opens a position is bought/is sold bill in equal wire system judgement with the large period market.
B. the amount of opening a position
Determine each corresponding position in storehouse of dynamic calculation by the capital quantity of employing less than 1/3rd at every turn according to the fund size.
C. market classification analysis
The sentiment undertone in financial investment markets such as stock, warrant, futures, foreign exchange always meets Dow Theory and the described frequent fluctuation in big trend direction forever of Wave Theory, but because the antagonism of the influence of how empty both parties' mental emotion and capital quantity has deduced the tendency of three kinds of market, promptly monolateral rising quotations, monolateral bearish market and check and regulate market.
Originally the method for scalping is by carrying out the symbolic characteristic that three kinds of market are extracted in quantitative analysis to the arrangement of average line index system and the opening and closing degree of Boll index system, thereby accurately market conditions are distinguished, and calculated the high probability zone that sentiment undertone counter-rotating takes place or breaks through.
D. condition opens a position
When the large period market are in monolateral rising or when drop, the opposite tendency with large period appears in the minor cycle market, and price when running to the high probability counter-rotating of aforementioned calculation or thrust area then suitable large period market trend open a position.
E. risk control with dynamically close a position
Originally the method for scalping all can be determined a fixing stop loss limit (being drawn by trade variety) immediately after intelligent algorithm optimization when whenever holding the operation of storehouse, just risk is controlled in the limited range at the initial stage of opening a position, the calamity loss that causes thereby the reply market are suddenlyd change, but make when opening a position the appearance profit when the certain counter-rotating of market, immediately stop loss limit is adjusted to position more than or equal to the cost price that opens a position, and constantly tracking adjustment with the continuation operation of market, if and the market readjustment price of the time closing a position also is not less than the cost that opens a position, thereby make profit the time allow the profit maximization, and also be unlikely to loss during readjustment.
F. the adaptation of investment market and kind
Because the market characteristics of having nothing in common with each other in investment markets such as stock, warrant, futures, foreign exchange, and the inside also has some trade varieties, every kind of market attributive character that oneself is all arranged, so when doing concrete analysis and scalping, originally it is foundation that the method for scalping needs with the historical data, and to the above-mentioned index system of mentioning, add weight with neural network algorithm, it is the characteristic attribute value of market kind, and adopt genetic algorithm that it is made computation optimization, making originally, the method for scalping is adapted to operated investment market and kind.
G. the robotization transaction of scalping
Originally the method for scalping has realized the transaction of sequencing machinery, instant analysis was judged the current decision-making of scalping when program received the market variation, realize that in the transaction interface that opens a position, end to decrease is provided with, calls when closing a position transaction platform full automatic intelligent machine scalps, mood and psychology are to the influence of the operation of scalping when avoiding manually scalping.
H. test result and performance
The test of the method for originally scalping historical data discs and 2 years true market through 10 years, the profit success ratio can reach about 90%, and the earnings yield curve is almost near 45 degree straight lines, and the profit performance is quite sane.
Two: take advantage of a situation and break through the dynamic tracking method
This method of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on the Wave Theory basis, the concrete operations step is as follows:
A. calculate the short-term, mid-term of current trade variety market, the highest/minimum point for a long time.
B. hang the buyer to the transaction order in the high slightly position of current quotations peak in mid-term.
C. when market reach the buyer to transaction order position and opening transaction, the short-term minimum point is made as only damage position.
If d. market do not reach and hang unit and put, when promptly not opening a position, recomputate short-term, mid-term, the dealing of the highest/minimum point, and corresponding adjustment for a long time of current quotations and hang single price.
E. the order that strikes a bargain to opening a position is followed the tracks of according to the tendency of market and is only decreased and dynamically arrange the operation of only being full of a little, follows the readjustment of market or moves ahead and finish the operation of closing a position.
If f. market reach and break through the highest for a long time/during minimum point, add the storehouse operation.
Three: the cambiale jus of taking advantage of a situation is joined in electrodeless change
This method of scalping is applicable to foreign exchange, futures, stock financial instrument kind, uses in the extension in financial market based on the electrodeless variable-speed theory, and the concrete operations step is as follows:
A. the historical quotes to the investment instrument of being concluded the business carries out the artificial intelligence analysis, specifically adopts neural network and genetic algorithm, converses the matching relationship of the shock range and the trend indicator parameter of this investment instrument.
B. in current quotations, measure the shock range of current quotations.
C. according to the shock range data of above-mentioned measurement, select the parameter of the index of corresponding trend according to matching relationship.
D. judge the signal that opens a position of current trend indicator, as send then and buy/sell the operation that opens a position.
E. continue to measure the shock range of current quotations, and adjust the parameter of trend indicator according to matching relationship.
F. send when closing a position signal when trend indicator, carry out the operation of closing a position.
Claims (3)
1. fully-automatic stock operation server is characterized in that: by IE client browser, MT4 or stock exchange software, HTTP web server software, core database, scheduler program, MT4 or stock exchange software, MQ4 intelligence transaction program development platform and stock software backstage development platform, the core of scalping control program; Constitute fully-automatic stock operation server.
2. fully-automatic stock operation server according to claim 1 is characterized in that: described fully-automatic stock operation server, and its combination of hardware condition is; Mainboard: the above configuration of Intel 5000X, CPU:E5410, internal memory: 4G, hard disk: 1T, network interface card: 100M/1G.
3. the core control program of scalping according to claim 1 is characterized in that: be made of following three parts:
One. taking advantage of a situation surmounts sales law
This software of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on Dow Theory and Wave Theory basis, the concrete operations step is as follows:
A. direction opens a position
The direction that opens a position is bought/is sold bill in equal wire system judgement with the large period market.
B. the amount of opening a position
Determine each corresponding position in storehouse of dynamic calculation by the capital quantity of employing less than 1/3rd at every turn according to the fund size.
C. market classification analysis
The sentiment undertone in financial investment markets such as stock, warrant, futures, foreign exchange always meets Dow Theory and the described frequent fluctuation in big trend direction forever of Wave Theory, but because the antagonism of the influence of how empty both parties' mental emotion and capital quantity has deduced the tendency of three kinds of market, promptly monolateral rising quotations, monolateral bearish market and check and regulate market.
Originally the method for scalping is by carrying out the symbolic characteristic that three kinds of market are extracted in quantitative analysis to the arrangement of average line index system and the opening and closing degree of Boll index system, thereby accurately market conditions are distinguished, and calculated the high probability zone that sentiment undertone counter-rotating takes place or breaks through.
D. condition opens a position
When the large period market are in monolateral rising or when drop, the opposite tendency with large period appears in the minor cycle market, and price when running to the high probability counter-rotating of aforementioned calculation or thrust area then suitable large period market trend open a position.
E. risk control with dynamically close a position
Originally the method for scalping all can be determined a fixing stop loss limit (being drawn by trade variety) immediately after intelligent algorithm optimization when whenever holding the operation of storehouse, just risk is controlled in the limited range at the initial stage of opening a position, the calamity loss that causes thereby the reply market are suddenlyd change, but make when opening a position the appearance profit when the certain counter-rotating of market, immediately stop loss limit is adjusted to position more than or equal to the cost price that opens a position, and constantly tracking adjustment with the continuation operation of market, if and the market readjustment price of the time closing a position also is not less than the cost that opens a position, thereby make profit the time allow the profit maximization, and also be unlikely to loss during readjustment.
F. the adaptation of investment market and kind
Because the market characteristics of having nothing in common with each other in investment markets such as stock, warrant, futures, foreign exchange, and the inside also has some trade varieties, every kind of market attributive character that oneself is all arranged, so when doing concrete analysis and scalping, originally it is foundation that the method for scalping needs with the historical data, and to the above-mentioned index system of mentioning, add weight with neural network algorithm, it is the characteristic attribute value of market kind, and adopt genetic algorithm that it is made computation optimization, making originally, the method for scalping is adapted to operated investment market and kind.
G. the robotization transaction of scalping
Originally the method for scalping has realized the transaction of sequencing machinery, instant analysis was judged the current decision-making of scalping when program received the market variation, realize that in the transaction interface that opens a position, end to decrease is provided with, calls when closing a position transaction platform full automatic intelligent machine scalps, mood and psychology are to the influence of the operation of scalping when avoiding manually scalping.
H. test result and performance
The test of the method for originally scalping historical data discs and 2 years true market through 10 years, the profit success ratio can reach about 90%, and the earnings yield curve is almost near 45 degree straight lines, and the profit performance is quite sane.
Two: take advantage of a situation and break through the dynamic tracking method
This method of scalping is suitable for foreign exchange, futures, stock financial instrument kind, and based on the Wave Theory basis, the concrete operations step is as follows:
A. calculate the short-term, mid-term of current trade variety market, the highest/minimum point for a long time.
B. hang the buyer to the transaction order in the high slightly position of current quotations peak in mid-term.
C. when market reach the buyer to transaction order position and opening transaction, the short-term minimum point is made as only damage position.
If d. market do not reach and hang unit and put, when promptly not opening a position, recomputate short-term, mid-term, the dealing of the highest/minimum point, and corresponding adjustment for a long time of current quotations and hang single price.
E. the order that strikes a bargain to opening a position is followed the tracks of according to the tendency of market and is only decreased and dynamically arrange the operation of only being full of a little, follows the readjustment of market or moves ahead and finish the operation of closing a position.
If f. market reach and break through the highest for a long time/during minimum point, add the storehouse operation.
Three: the cambiale jus of taking advantage of a situation is joined in electrodeless change
This method of scalping is applicable to foreign exchange, futures, stock financial instrument kind, uses in the extension in financial market based on the electrodeless variable-speed theory, and the concrete operations step is as follows:
A. the historical quotes to the investment instrument of being concluded the business carries out the artificial intelligence analysis, specifically adopts neural network and genetic algorithm, converses the matching relationship of the shock range and the trend indicator parameter of this investment instrument.
B. in current quotations, measure the shock range of current quotations.
C. according to the shock range data of above-mentioned measurement, select the parameter of the index of corresponding trend according to matching relationship.
D. judge the signal that opens a position of current trend indicator, as send then and buy/sell the operation that opens a position.
E. continue to measure the shock range of current quotations, and adjust the parameter of trend indicator according to matching relationship.
F. send when closing a position signal when trend indicator, carry out the operation of closing a position.
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| CN201010109231A CN101794430A (en) | 2010-02-11 | 2010-02-11 | Fully-automatic stock operation server |
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| CN201010109231A CN101794430A (en) | 2010-02-11 | 2010-02-11 | Fully-automatic stock operation server |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866984A (en) * | 2012-05-03 | 2013-01-09 | 北京国政通科技有限公司 | Matrix quantitative analysis method in intelligent transaction and system thereof |
| CN104184835A (en) * | 2014-09-12 | 2014-12-03 | 深圳市富途网络科技有限公司 | Automatic data interaction triggering method and system |
| CN104781837A (en) * | 2012-08-15 | 2015-07-15 | 汤姆森路透社全球资源公司 | System and method for forming predictions using event-based sentiment analysis |
| CN105260935A (en) * | 2015-09-08 | 2016-01-20 | 上海银天下科技有限公司 | Information prompting method and system |
| CN105373832A (en) * | 2015-10-14 | 2016-03-02 | 江苏师范大学 | Parallel genetic algorithm for transaction rule parameter optimization |
| WO2016145586A1 (en) * | 2015-03-14 | 2016-09-22 | 王志强 | Method and stock trading system for online automatic trading of stock |
| CN106469415A (en) * | 2016-08-31 | 2017-03-01 | 醇钱科技发展(北京)有限公司 | Network movable type expert's signal follows transaction system and its method |
| CN107093141A (en) * | 2017-03-09 | 2017-08-25 | 腾讯科技（深圳）有限公司 | The treating method and apparatus of product object |
| CN107480857A (en) * | 2017-07-10 | 2017-12-15 | 武汉楚鼎信息技术有限公司 | One B shareB gene pool diagnostic method and system |
| CN107563890A (en) * | 2017-09-12 | 2018-01-09 | 广发证券股份有限公司 | One B shareB class is intelligently thrown and cares for personal share concentration degree control method and system |
| CN108305167A (en) * | 2018-01-12 | 2018-07-20 | 华南理工大学 | A kind of foreign currency trade method and system enhancing learning algorithm based on depth |
| CN109376922A (en) * | 2018-10-16 | 2019-02-22 | 杭州即得科技有限公司 | A kind of short-term trading Optimal Management System and method based on big data |
| CN110246035A (en) * | 2018-03-08 | 2019-09-17 | 深圳市丽海弘金科技有限公司 | A kind of method of commerce of financial product, system and terminal device |
| CN110428333A (en) * | 2019-08-01 | 2019-11-08 | 上海爱富爱克斯网络科技发展有限责任公司 | For the Data Detection and analysis method of financial intermediary MT4 foreign exchange transaction software |
| CN113298660A (en) * | 2021-06-23 | 2021-08-24 | 深圳市荣亿达科技发展有限公司 | Stock futures trading management method, platform, device and storage medium |
| CN114037534A (en) * | 2021-11-10 | 2022-02-11 | 南京通通付网络科技有限公司 | All-weather automatic quantitative transaction method |
-
2010
- 2010-02-11 CN CN201010109231A patent/CN101794430A/en active Pending
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866984A (en) * | 2012-05-03 | 2013-01-09 | 北京国政通科技有限公司 | Matrix quantitative analysis method in intelligent transaction and system thereof |
| CN102866984B (en) * | 2012-05-03 | 2016-02-24 | 北京国政通科技有限公司 | Matrix quantization analytical approach and system thereof in Intelligent Trade |
| CN104781837A (en) * | 2012-08-15 | 2015-07-15 | 汤姆森路透社全球资源公司 | System and method for forming predictions using event-based sentiment analysis |
| CN104184835A (en) * | 2014-09-12 | 2014-12-03 | 深圳市富途网络科技有限公司 | Automatic data interaction triggering method and system |
| WO2016145586A1 (en) * | 2015-03-14 | 2016-09-22 | 王志强 | Method and stock trading system for online automatic trading of stock |
| CN105260935A (en) * | 2015-09-08 | 2016-01-20 | 上海银天下科技有限公司 | Information prompting method and system |
| CN105373832A (en) * | 2015-10-14 | 2016-03-02 | 江苏师范大学 | Parallel genetic algorithm for transaction rule parameter optimization |
| CN105373832B (en) * | 2015-10-14 | 2018-10-30 | 江苏师范大学 | Trading rules parameter optimization method based on paralleling genetic algorithm |
| CN106469415A (en) * | 2016-08-31 | 2017-03-01 | 醇钱科技发展(北京)有限公司 | Network movable type expert's signal follows transaction system and its method |
| CN106469415B (en) * | 2016-08-31 | 2019-06-28 | 醇钱科技发展(北京)有限公司 | Network-based movable type expert's signal follows transaction system and its method |
| CN107093141A (en) * | 2017-03-09 | 2017-08-25 | 腾讯科技（深圳）有限公司 | The treating method and apparatus of product object |
| CN107093141B (en) * | 2017-03-09 | 2022-04-26 | 腾讯科技（深圳）有限公司 | Product object processing method and device |
| CN107480857A (en) * | 2017-07-10 | 2017-12-15 | 武汉楚鼎信息技术有限公司 | One B shareB gene pool diagnostic method and system |
| CN107563890A (en) * | 2017-09-12 | 2018-01-09 | 广发证券股份有限公司 | One B shareB class is intelligently thrown and cares for personal share concentration degree control method and system |
| CN108305167A (en) * | 2018-01-12 | 2018-07-20 | 华南理工大学 | A kind of foreign currency trade method and system enhancing learning algorithm based on depth |
| CN110246035A (en) * | 2018-03-08 | 2019-09-17 | 深圳市丽海弘金科技有限公司 | A kind of method of commerce of financial product, system and terminal device |
| CN109376922A (en) * | 2018-10-16 | 2019-02-22 | 杭州即得科技有限公司 | A kind of short-term trading Optimal Management System and method based on big data |
| CN110428333A (en) * | 2019-08-01 | 2019-11-08 | 上海爱富爱克斯网络科技发展有限责任公司 | For the Data Detection and analysis method of financial intermediary MT4 foreign exchange transaction software |
| CN113298660A (en) * | 2021-06-23 | 2021-08-24 | 深圳市荣亿达科技发展有限公司 | Stock futures trading management method, platform, device and storage medium |
| CN114037534A (en) * | 2021-11-10 | 2022-02-11 | 南京通通付网络科技有限公司 | All-weather automatic quantitative transaction method |
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