WO2016149858A1 - Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière - Google Patents

Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière Download PDF

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Publication number
WO2016149858A1
WO2016149858A1 PCT/CN2015/074650 CN2015074650W WO2016149858A1 WO 2016149858 A1 WO2016149858 A1 WO 2016149858A1 CN 2015074650 W CN2015074650 W CN 2015074650W WO 2016149858 A1 WO2016149858 A1 WO 2016149858A1
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WO
WIPO (PCT)
Prior art keywords
price
stock
user
closing
unit
Prior art date
Application number
PCT/CN2015/074650
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English (en)
Chinese (zh)
Inventor
王志强
Original Assignee
王志强
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 王志强 filed Critical 王志强
Priority to PCT/CN2015/074650 priority Critical patent/WO2016149858A1/fr
Publication of WO2016149858A1 publication Critical patent/WO2016149858A1/fr

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Classifications

    • 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

Definitions

  • the invention belongs to the field of internet, and in particular relates to a method for reminding according to a stock curve and a stock operating system.
  • the embodiment of the invention provides a method for making a reminder according to a stock curve, and aims to solve the defect that the current stock trading system has a single function and cannot make suggestions to the user according to professional knowledge.
  • the invention is implemented in such a way that a reminder is made based on a stock curve, comprising the following steps:
  • the highest price is the same as the closing price or exceeds a certain threshold range of the closing price, and the lowest price is the same as or lower than the opening price;
  • the method further includes:
  • the embodiment of the invention also provides a stock operating system, comprising:
  • a data collection unit for collecting the highest price, the closing price, the lowest price, and the opening price of the day
  • the determining unit is connected to the data collecting unit, and is configured to determine, according to the data collected by the data collecting unit, whether the following conditions are met: the highest price is the same as the closing price or exceeds a certain threshold range of the closing price, and the lowest price is the same as the opening price Or a threshold range below the fare price;
  • the reminding unit is connected to the determining unit, and is configured to remind the user that a large sun line appears when the condition is met.
  • the operating system further includes:
  • a second determining unit connected to the determining unit, for determining a trend when a large sun line appears
  • a second reminding unit connected to the second determining unit, for reminding the user to buy when the stock price starts to rise; in the process of continuous rising stock price, reminding the user to beware of the multi-party energy exhaustion stock price peaking down; During the continuous decline process, users are reminded to buy at the right price.
  • the stockholders can make a more reasonable judgment on the stock market without knowing the relevant knowledge such as the Yangyang line, thereby increasing the probability of correct decision-making.
  • FIG. 1 is a schematic flow chart of a method for making a reminder according to a stock curve according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a stock operating system according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart of a method for making a reminder according to a stock curve according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S101 the highest price, the closing price, the lowest price, and the opening price of the day are collected.
  • step S102 it is determined whether the following condition is satisfied: the highest price is the same as the closing price or exceeds a certain threshold range of the closing price, and the lowest price is equal to or lower than the opening price.
  • step S103 if not, the status is maintained and no reminder is made.
  • step S104 the user is reminded of the appearance of a large sun line.
  • the verification conclusion is based on the long-term rule of the stock market.
  • the stockholders can make a more reasonable judgment on the stock market without knowing the relevant knowledge such as the Yangyang line, thereby increasing the probability of correct decision-making.
  • FIG. 2 is a schematic structural diagram of a stock operating system according to an embodiment of the present invention, where the system includes:
  • the data collection unit 201 is configured to collect the highest price, the closing price, the lowest price, and the opening price of the day;
  • the determining unit 202 is connected to the data collecting unit 201, and is configured to determine, according to the data collected by the data collecting unit, whether the following conditions are met: the highest price is the same as the closing price or exceeds a certain threshold range of the closing price, and the lowest price and opening The same or lower than the threshold range of the fare;
  • the reminding unit 203 is connected to the determining unit 202, and is configured to remind the user that a big sun line appears when the condition is met.
  • the working principle is: the data collecting unit 201 collects the highest price, the closing price, the lowest price and the open fare of the day; the determining unit 202 determines, according to the information collected by the data collecting unit 201, whether the following conditions are met: the highest price and the closing price The threshold range of the same or exceeding the closing price, and the lowest price is equal to or lower than the opening price, and the reminder unit 203 reminds the user of the big positive line when the above conditions are met.
  • the operating system may further include:
  • a second determining unit connected to the determining unit, for determining a trend when a large sun line appears
  • a second reminding unit connected to the second determining unit, for reminding the user to buy when the stock price starts to rise; in the process of continuous rising stock price, reminding the user to beware of the multi-party energy exhaustion stock price peaking down; During the continuous decline process, users are reminded to buy at the right price.
  • the stockholders can make a more reasonable judgment on the stock market without knowing the relevant knowledge such as the Yangyang line, thereby increasing the probability of correct decision-making.

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Finance (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

L'invention concerne un procédé de génération d'alerte en fonction d'une courbe boursière, ainsi qu'un système d'opération boursière ayant trait au domaine d'Internet. Le procédé consiste à : collecter le cours le plus élevé, le cours de clôture, le cours le plus bas et le cours d'ouverture du jour (S101) ; déterminer si les deux conditions suivantes sont remplies : le cours le plus élevé est identique au cours de clôture ou dépasse une certaine plage de seuil du cours de clôture et le cours le plus bas est identique au cours d'ouverture ou inférieur à une certaine plage de seuil du cours d'ouverture (S102) ; si les conditions ne sont pas remplies, la situation actuelle est maintenue et aucune alerte n'est générée (S103) ; si les conditions sont remplies, l'utilisateur est alerté de l'apparition d'un grand chandelier (104). Ainsi, même s'il ne dispose pas de connaissances pertinentes, par exemple concernant la compréhension des grands chandeliers, un investisseur peut effectuer des déterminations raisonnables concernant le marché boursier et donc augmenter la probabilité de prendre des décisions correctes.
PCT/CN2015/074650 2015-03-20 2015-03-20 Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière WO2016149858A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/074650 WO2016149858A1 (fr) 2015-03-20 2015-03-20 Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/074650 WO2016149858A1 (fr) 2015-03-20 2015-03-20 Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière

Publications (1)

Publication Number Publication Date
WO2016149858A1 true WO2016149858A1 (fr) 2016-09-29

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PCT/CN2015/074650 WO2016149858A1 (fr) 2015-03-20 2015-03-20 Procédé de génération d'alerte en fonction d'une courbe boursière, et système d'opération boursière

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Country Link
WO (1) WO2016149858A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113781222A (zh) * 2021-09-10 2021-12-10 上海卡方信息科技有限公司 一种基于机器学习的构建股票交易决策模型的方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201234350Y (zh) * 2008-03-28 2009-05-06 宇龙计算机通信科技(深圳)有限公司 一种股市行情报警器及移动终端
CN102081782A (zh) * 2009-11-30 2011-06-01 戴家勇 全息自然k线数学模型及其在证券技术分析中的应用
CN102222309A (zh) * 2011-05-04 2011-10-19 宇龙计算机通信科技(深圳)有限公司 一种证券信息提示方法及移动终端

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201234350Y (zh) * 2008-03-28 2009-05-06 宇龙计算机通信科技(深圳)有限公司 一种股市行情报警器及移动终端
CN102081782A (zh) * 2009-11-30 2011-06-01 戴家勇 全息自然k线数学模型及其在证券技术分析中的应用
CN102222309A (zh) * 2011-05-04 2011-10-19 宇龙计算机通信科技(深圳)有限公司 一种证券信息提示方法及移动终端

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113781222A (zh) * 2021-09-10 2021-12-10 上海卡方信息科技有限公司 一种基于机器学习的构建股票交易决策模型的方法

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