Creating a Stock Market Prediction System involves several components, including a MySQL database schema, file structure, layout design using Bootstrap 5, and complete PHP scripts for user authentication and management. Below is a comprehensive guide to help you set up your system.
Project Introduction
The Stock Market Prediction System is designed to provide users with tools to analyze stock market data, make predictions, and manage their investment portfolios. This system allows users to access historical stock data, technical indicators, and sentiment analysis to inform their trading decisions. With a robust MySQL database backend, the platform ensures secure data management and a user-friendly experience for both administrators and regular users.
Project Objectives
- To create a secure user registration and login system for accessing stock market data and predictions.
- To store and manage historical stock data, including prices and trading volumes.
- To calculate and store technical indicators such as moving averages and RSI for stock analysis.
- To generate predictions for stock prices based on historical data and machine learning models.
- To perform sentiment analysis on stock-related news and social media to gauge market sentiment.
- To allow users to manage their investment portfolios, including tracking stock quantities and purchase prices.
- To set up alerts for users based on price changes, news updates, or sentiment shifts related to their stocks.
Project Modules
- User Management: Handles user registration, login, and role-based access for admins and regular users.
- Stock Data Management: Stores and retrieves historical stock data, including prices and trading volumes.
- Technical Indicators Management: Calculates and stores technical indicators for stock analysis.
- Prediction Management: Generates and stores predictions for stock prices based on historical data.
- Sentiment Analysis: Analyzes news and social media sentiment related to stocks and stores the results.
- Portfolio Management: Allows users to manage their stock portfolios, including tracking quantities and purchase prices.
- Alerts Management: Enables users to set alerts based on price changes, news, or sentiment related to their stocks.
- Reporting Module: Provides users with reports and analytics on their stock performance and predictions.
1. MySQL Database Schema
CREATE DATABASE stock_market_prediction;
USE stock_market_prediction;
-- Table for users
CREATE TABLE users (
id INT AUTO_INCREMENT PRIMARY KEY,
username VARCHAR(50) NOT NULL UNIQUE,
password VARCHAR(255) NOT NULL,
email VARCHAR(100) NOT NULL UNIQUE,
role ENUM('admin', 'user') DEFAULT 'user',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Table for stock data
CREATE TABLE stock_data (
id INT AUTO_INCREMENT PRIMARY KEY,
stock_symbol VARCHAR(10) NOT NULL,
date DATE NOT NULL,
open_price DECIMAL(10, 2) NOT NULL,
close_price DECIMAL(10, 2) NOT NULL,
high_price DECIMAL(10, 2) NOT NULL,
low_price DECIMAL(10, 2) NOT NULL,
volume BIGINT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(stock_symbol, date)
);
-- Table for technical indicators
CREATE TABLE technical_indicators (
id INT AUTO_INCREMENT PRIMARY KEY,
stock_symbol VARCHAR(10) NOT NULL,
date DATE NOT NULL,
moving_average DECIMAL(10, 2),
rsi DECIMAL(5, 2),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(stock_symbol, date)
);
-- Table for predictions
CREATE TABLE predictions (
id INT AUTO_INCREMENT PRIMARY KEY,
stock_symbol VARCHAR(10) NOT NULL,
prediction_date DATE NOT NULL,
predicted_price DECIMAL(10, 2) NOT NULL,
model_used VARCHAR(50),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(stock_symbol, prediction_date)
);
-- Table for sentiment analysis
CREATE TABLE sentiment_analysis (
id INT AUTO_INCREMENT PRIMARY KEY,
stock_symbol VARCHAR(10) NOT NULL,
analysis_date DATE NOT NULL,
sentiment_score DECIMAL(5, 2),
source VARCHAR(100),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
UNIQUE(stock_symbol, analysis_date)
);
-- Table for portfolio management
CREATE TABLE portfolios (
id INT AUTO_INCREMENT PRIMARY KEY,
user_id INT NOT NULL,
stock_symbol VARCHAR(10) NOT NULL,
quantity INT NOT NULL,
purchase_price DECIMAL(10, 2) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
);
-- Table for alerts
CREATE TABLE alerts (
id INT AUTO_INCREMENT PRIMARY KEY,
user_id INT NOT NULL,
stock_symbol VARCHAR(10) NOT NULL,
alert_type ENUM('price', 'news', 'sentiment') NOT NULL,
threshold DECIMAL(10, 2),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
);
2. File and Folder Structure
stock_market_prediction_system/
│
├── config/
│ └── db.php
│
├── public/
│ ├── index.php
│ ├── login.php
│ ├── register.php
│ ├── dashboard.php
│ ├── stock_data.php
│ ├── predictions.php
│ ├── portfolio.php
│ ├── alerts.php
│ ├── sentiment_analysis.php
│ └── reporting.php
│
├── includes/
│ ├── header.php
│ ├── footer.php
│ └── functions.php
│
├── assets/
│ ├── css/
│ │ └── styles.css
│ ├── js/
│ │ └── scripts.js
│ └── images/
│
└── vendor/
└── (Bootstrap and other libraries)
3. Layout Based Design with Bootstrap 5
Header (includes/header.php)
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet">
<link rel="stylesheet" href="assets/css/styles.css">
<title>Stock Market Prediction System</title>
</head>
<body>
<div class="container">
<header class="my-4">
<h1>Stock Market Prediction System</h1>
</header>
<nav class="navbar navbar-expand-lg navbar -light bg-light">
<div class="container-fluid">
<a class="navbar-brand" href="index.php">Home</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link" href="stock_data.php">Stock Data</a>
</li>
<li class="nav-item">
<a class="nav-link" href="predictions.php">Predictions</a>
</li>
<li class="nav-item">
<a class="nav-link" href="portfolio.php">Portfolio</a>
</li>
<li class="nav-item">
<a class="nav-link" href="alerts.php">Alerts</a>
</li>
<li class="nav-item">
<a class="nav-link" href="sentiment_analysis.php">Sentiment Analysis</a>
</li>
<li class="nav-item">
<a class="nav-link" href="reporting.php">Reporting</a>
</li>
<li class="nav-item">
<a class="nav-link" href="login.php">Login</a>
</li>
<li class="nav-item">
<a class="nav-link" href="register.php">Register</a>
</li>
</ul>
</div>
</div>
</nav>
<main class="my-4">
Footer (includes/footer.php)
</main>
<footer class="text-center my-4">
<p>© 2023 Stock Market Prediction System. All rights reserved.</p>
</footer>
</div>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/js/bootstrap.bundle.min.js"></script>
</body>
</html>
4. PHP Code for User Authentication
Registration (public/register.php)
<?php
require '../config/db.php';
require '../includes/header.php';
if ($_SERVER['REQUEST_METHOD'] == 'POST') {
$username = $_POST['username'];
$email = $_POST['email'];
$password = password_hash($_POST['password'], PASSWORD_DEFAULT);
$role = $_POST['role'];
$stmt = $conn->prepare("INSERT INTO users (username, email, password, role) VALUES (?, ?, ?, ?)");
$stmt->bind_param("ssss", $username, $email, $password, $role);
$stmt->execute();
$stmt->close();
header("Location: login.php");
}
?>
<form method="POST" action="">
<div class="mb-3">
<label for="username" class="form-label">Username</label>
<input type="text" class="form-control" id="username" name="username" required>
</div>
<div class="mb-3">
<label for="email" class="form-label">Email</label>
<input type="email" class="form-control" id="email" name="email" required>
</div>
<div class="mb-3">
<label for="password" class="form-label">Password</label>
<input type="password" class="form-control" id="password" name="password" required>
</div>
<div class="mb-3">
<label for="role" class="form-label">Role</label>
<select class="form-select" id="role" name="role">
<option value="user">User </option>
<option value="admin">Admin</option>
</select>
</div>
<button type="submit" class="btn btn-primary">Register</button>
</form>
<?php require '../includes/footer.php'; ?>
Login (public/login.php)
<?php
session_start();
require '../config/db.php';
require '../includes/header.php';
if ($_SERVER['REQUEST_METHOD'] == 'POST') {
$username = $_POST['username'];
$password = $_POST['password'];
$stmt = $conn->prepare("SELECT * FROM users WHERE username = ?");
$stmt->bind_param("s", $username);
$stmt->execute();
$result = $stmt->get_result();
$user = $result->fetch_assoc();
if ($user && password_verify($password, $user['password'])) {
$_SESSION['user_id'] = $user['id'];
$_SESSION['role'] = $user['role'];
header("Location: dashboard.php");
} else {
echo "Invalid credentials.";
}
}
?>
<form method="POST" action="">
<div class="mb-3">
<label for="username" class="form-label">Username</label>
<input type="text" class="form-control" id="username" name="username" required>
</div>
<div class="mb-3">
<label for="password" class="form-label">Password</label>
<input type="password" class="form-control" id="password" name="password" required>
</div>
<button type="submit" class="btn btn-primary">Login</button>
</form>
<?php require '../includes/footer.php'; ?>
5. Additional PHP Scripts
Dashboard (public/dashboard.php)
<?php
session_start();
require '../config/db.php';
require '../includes/header.php';
if (!isset($_SESSION['user_id'])) {
header("Location: login.php");
exit();
}
$user_id = $_SESSION['user_id'];
$stmt = $conn->prepare("SELECT * FROM users WHERE id = ?");
$stmt->bind_param("i", $user_id);
$stmt->execute();
$result = $stmt->get_result();
$user = $result->fetch_assoc();
?>
<h2>Welcome, <?php echo $user['username']; ?></h2>
<p>Your role: <?php echo ucfirst($user['role']); ?></p>
<?php require '../includes/footer.php'; ?>
Stock Data (public/stock_data.php)
<?php
require '../config/db.php';
require '../includes/header.php';
$stmt = $conn->prepare("SELECT * FROM stock_data ORDER BY date DESC");
$stmt->execute();
$result = $stmt->get_result();
$stock_data = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Stock Data</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Date</th>
<th>Open Price</th>
<th>Close Price</th>
<th>High Price</th>
<th>Low Price</th>
<th>Volume</th>
</tr>
</thead>
<tbody>
<?php foreach ($stock_data as $data): ?>
<tr>
<td><?php echo $data['stock_symbol']; ?></td>
<td><?php echo $data['date']; ?></td>
<td>$<?php echo $data['open_price']; ?></td>
<td>$<?php echo $data['close_price']; ?></td>
<td>$<?php echo $data['high_price']; ?></td>
<td>$<?php echo $data['low_price']; ?></td>
<td><?php echo $data['volume']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
Predictions (public/predictions.php)
<?php
require '../config/db.php';
require '../includes/header.php';
$stmt = $conn->prepare("SELECT * FROM predictions ORDER BY prediction_date DESC");
$stmt->execute();
$result = $stmt->get_result();
$predictions = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Predictions</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Prediction Date</th>
<th>Predicted Price</th>
<th>Model Used</th>
</tr>
</thead>
<tbody>
<?php foreach ($predictions as $prediction): ?>
<tr>
<td><?php echo $prediction['stock_symbol']; ?></td>
<td><?php echo $prediction['prediction_date']; ?></td>
<td>$<?php echo $prediction['predicted_price']; ?></td>
<td><?php echo $prediction['model_used']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
Portfolio (public/portfolio.php)
<?php
session_start();
require '../config/db.php';
require '../includes/header.php';
if (!isset($_SESSION['user_id'])) {
header("Location: login.php");
exit();
}
$user_id = $_SESSION['user_id'];
$stmt = $conn->prepare("SELECT portfolios.*, stock_data.close_price FROM portfolios JOIN stock_data ON portfolios.stock_symbol = stock_data.stock_symbol ORDER BY portfolios.created_at DESC");
$stmt->bind_param("i", $user_id);
$stmt->execute();
$result = $stmt->get result();
$portfolios = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Your Portfolio</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Quantity</th>
<th>Purchase Price</th>
<th>Current Price</th>
<th>Total Value</th>
</tr>
</thead>
<tbody>
<?php foreach ($portfolios as $portfolio): ?>
<tr>
<td><?php echo $portfolio['stock_symbol']; ?></td>
<td><?php echo $portfolio['quantity']; ?></td>
<td>$<?php echo $portfolio['purchase_price']; ?></td>
<td>$<?php echo $portfolio['close_price']; ?></td>
<td>$<?php echo $portfolio['quantity'] * $portfolio['close_price']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
Alerts (public/alerts.php)
<?php
session_start();
require '../config/db.php';
require '../includes/header.php';
if (!isset($_SESSION['user_id'])) {
header("Location: login.php");
exit();
}
$user_id = $_SESSION['user_id'];
$stmt = $conn->prepare("SELECT * FROM alerts WHERE user_id = ?");
$stmt->bind_param("i", $user_id);
$stmt->execute();
$result = $stmt->get_result();
$alerts = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Your Alerts</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Alert Type</th>
<th>Threshold</th>
<th>Created At</th>
</tr>
</thead>
<tbody>
<?php foreach ($alerts as $alert): ?>
<tr>
<td><?php echo $alert['stock_symbol']; ?></td>
<td><?php echo ucfirst($alert['alert_type']); ?></td>
<td>$<?php echo $alert['threshold']; ?></td>
<td><?php echo $alert['created_at']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
Sentiment Analysis (public/sentiment_analysis.php)
<?php
require '../config/db.php';
require '../includes/header.php';
$stmt = $conn->prepare("SELECT * FROM sentiment_analysis ORDER BY analysis_date DESC");
$stmt->execute();
$result = $stmt->get_result();
$sentiment_data = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Sentiment Analysis</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Analysis Date</th>
<th>Sentiment Score</th>
<th>Source</th>
</tr>
</thead>
<tbody>
<?php foreach ($sentiment_data as $data): ?>
<tr>
<td><?php echo $data['stock_symbol']; ?></td>
<td><?php echo $data['analysis_date']; ?></td>
<td><?php echo $data['sentiment_score']; ?></td>
<td><?php echo $data['source']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
Reporting (public/reporting.php)
<?php
require '../config/db.php';
require '../includes/header.php';
$stmt = $conn->prepare("SELECT stock_symbol, AVG(predicted_price) AS avg_predicted_price FROM predictions GROUP BY stock_symbol");
$stmt->execute();
$result = $stmt->get_result();
$report_data = $result->fetch_all(MYSQLI_ASSOC);
?>
<h3>Reporting</h3>
<table class="table">
<thead>
<tr>
<th>Stock Symbol</th>
<th>Average Predicted Price</th>
</tr>
</thead>
<tbody>
<?php foreach ($report_data as $report): ?>
<tr>
<td><?php echo $report['stock_symbol']; ?></td>
<td>$<?php echo $report['avg_predicted_price']; ?></td>
</tr>
<?php endforeach; ?>
</tbody>
</table>
<?php require '../includes/footer.php'; ?>
6. Additional Features to Consider
Data Visualization: Implement charts and graphs to visualize stock trends and predictions.
API Integration: Integrate with financial APIs for real-time data updates.
User Customization: Allow users to customize their dashboards and select which stocks to monitor.
Advanced Analytics: Implement more sophisticated analytics tools for deeper insights into stock performance.
Machine Learning Enhancements: Explore advanced machine learning techniques for improved prediction accuracy.
7. Security Measures
Data Encryption: Ensure sensitive data, such as user passwords, are encrypted.
Input Validation: Validate all user inputs to prevent SQL injection and XSS attacks.
Session Management: Implement secure session management practices to protect user sessions.
8. Testing and Deployment
Unit Testing: Conduct unit tests for individual components to ensure they function correctly.
Integration Testing: Test the integration of different modules to ensure they work together seamlessly.
Deployment: Choose a reliable hosting provider and deploy the application, ensuring all configurations are optimized for performance.
9. Documentation
User Documentation: Create a user manual to guide users through the system's features and functionalities.
Developer Documentation: Document the codebase and architecture for future reference and maintenance.
10. Future Enhancements
AI-Powered Recommendations: Implement machine learning algorithms to provide personalized stock recommendations.
Mobile Application: Develop a mobile application for users to access the system on the go.
Community Features: Create forums or discussion boards for users to share insights and strategies.
This structured approach will help you build a comprehensive Stock Market Prediction System that meets user needs and adapts to future requirements.
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