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How to use MySQL and JavaScript to implement a simple online investment analysis function

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Release: 2023-09-21 14:28:41
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How to use MySQL and JavaScript to implement a simple online investment analysis function

How to use MySQL and JavaScript to implement a simple online investment analysis function

Abstract: With the development of the economy, investment analysis has become more and more popular among individuals and enterprises. The more important it is. Implementing a simple online investment analysis function can help people make better investment decisions. This article will introduce how to use MySQL and JavaScript to build a simple online investment analysis function, and provide specific code examples.

Keywords: Online investment analysis, MySQL, JavaScript, code examples

Introduction:
Investment analysis is to evaluate the feasibility and return of investment from multiple angles. Traditional investment analysis requires a lot of data collection and analysis work, but building an online investment analysis function can realize automated data analysis and decision support, making it easier for users to better understand and evaluate different investment options. Use MySQL and JavaScript to build a feature-rich and easy-to-use online investment analysis tool.

1. Database design
Before using MySQL to store data, we need to design the database first. According to the needs of investment analysis, we can design the following tables:

  1. User table: stores user information, such as user name, password, etc.

CREATE TABLE users (
id INT(11) NOT NULL AUTO_INCREMENT,
username VARCHAR(50 ) NOT NULL,
password VARCHAR(50) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

  1. Investment target table: stores basic information of various investment targets, such as name, type, etc.

CREATE TABLE investments (
id INT(11) NOT NULL AUTO_INCREMENT,
name VARCHAR(100 ) NOT NULL,
type VARCHAR(50) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

  1. Investment data table: Stores relevant data on various investment targets, such as historical prices, returns, etc.

CREATE TABLE investment_data (
id INT(11) NOT NULL AUTO_INCREMENT,
investment_id INT(11 ) NOT NULL,
date DATE NOT NULL,
price DECIMAL(10, 2) NOT NULL,
return DECIMAL(10 , 2) NOT NULL,
PRIMARY KEY (id),
CONSTRAINT fk_investments FOREIGN KEY (investment_id) REFERENCES investments (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

2. Data entry and query

  1. User registration and login

In JavaScript, we can use Ajax to implement user registration and login functions. The following is a simple code example:

// User registration
function registerUser(username, password) {
$.ajax({

url: 'register.php',
type: 'POST',
data: {
  username: username,
  password: password
},
success: function(response) {
  alert(response);
}
Copy after login

});
}

// User login
function loginUser(username, password) {
$.ajax({

url: 'login.php',
type: 'POST',
data: {
  username: username,
  password: password
},
success: function(response) {
  if (response == 'success') {
    // 登录成功,跳转到主页
    window.location.href = 'index.html';
  } else {
    alert('用户名或密码错误');
  }
}
Copy after login

});
}

  1. Investment data entry

Users can enter investment data into the database through a form. The following is a simple code example:







<script><br>function addInvestmentData() {<br> var investmentId = document.getElementById("investment").value;<br> var date = document.getElementById("date").value;<br> var price = parseFloat(document.getElementById("price").value);<br> var return = parseFloat(document.getElementById("return").value);</p><p>// Send data to via Ajax Save on the backend<br> $.ajax({</p><div class="code" style="position:relative; padding:0px; margin:0px;"><pre class='brush:sql;toolbar:false;'>url: 'save_data.php', type: 'POST', data: { investmentId: investmentId, date: date, price: price, return: return }, success: function(response) { alert(response); }</pre><div class="contentsignin">Copy after login</div></div><p>});<br>}<br></script>

  1. Investment data query

Users can query the entered investment data through a form. The following is a simple code example:




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