RSK World - Stock Market Time Series Dataset - Project Files Browser | RSK World

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    Author: Molla Samser
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    Designer & Tester: Rima Khatun
    Website: https://rskworld.in/
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            <!-- Header -->
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                <h1>Stock Market Time Series Dataset</h1>
                <p class="subtitle">Historical OHLCV Data with Technical Indicators for Multiple Stocks</p>
                <div class="mt-3">
                    <span class="badge badge-custom me-2"><i class="fas fa-calendar"></i> 2020 Data</span>
                    <span class="badge badge-custom me-2"><i class="fas fa-database"></i> 5 Stocks</span>
                    <span class="badge badge-custom"><i class="fas fa-chart-bar"></i> Technical Indicators</span>
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            <!-- Overview -->
            <section>
                <h2 class="section-title"><i class="fas fa-info-circle"></i> Overview</h2>
                <p>This comprehensive dataset contains historical stock market data with OHLCV (Open, High, Low, Close, Volume) prices, trading volumes, and technical indicators for multiple stocks. Perfect for time series forecasting, technical analysis, portfolio optimization, and financial modeling.</p>
            </section>
            
            <!-- Features -->
            <section>
                <h2 class="section-title"><i class="fas fa-star"></i> Key Features</h2>
                <div class="row">
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                        <div class="card feature-card">
                            <div class="card-body text-center">
                                <div class="feature-icon"><i class="fas fa-chart-candlestick"></i></div>
                                <h5 class="card-title">OHLCV Price Data</h5>
                                <p class="card-text">Complete open, high, low, close prices and trading volume for comprehensive analysis.</p>
                            </div>
                        </div>
                    </div>
                    <div class="col-md-4 mb-3">
                        <div class="card feature-card">
                            <div class="card-body text-center">
                                <div class="feature-icon"><i class="fas fa-chart-line"></i></div>
                                <h5 class="card-title">Technical Indicators</h5>
                                <p class="card-text">Pre-calculated MA_20, MA_50, RSI, and MACD indicators for quick analysis.</p>
                            </div>
                        </div>
                    </div>
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                        <div class="card feature-card">
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                                <div class="feature-icon"><i class="fas fa-building"></i></div>
                                <h5 class="card-title">Multiple Stocks</h5>
                                <p class="card-text">Data for AAPL, GOOGL, MSFT, AMZN, and TSLA covering the entire 2020.</p>
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                        </div>
                    </div>
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                        <div class="card feature-card">
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                                <div class="feature-icon"><i class="fas fa-robot"></i></div>
                                <h5 class="card-title">ML Ready</h5>
                                <p class="card-text">Time series formatted data ready for machine learning and forecasting models.</p>
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                        </div>
                    </div>
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                        <div class="card feature-card">
                            <div class="card-body text-center">
                                <div class="feature-icon"><i class="fas fa-python"></i></div>
                                <h5 class="card-title">Python Scripts</h5>
                                <p class="card-text">Complete analysis, forecasting, and visualization scripts included.</p>
                            </div>
                        </div>
                    </div>
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                            <div class="card-body text-center">
                                <div class="feature-icon"><i class="fas fa-book"></i></div>
                                <h5 class="card-title">Documentation</h5>
                                <p class="card-text">Comprehensive documentation and metadata for all indicators and stocks.</p>
                            </div>
                        </div>
                    </div>
                </div>
            </section>
            
            <!-- Stocks Included -->
            <section>
                <h2 class="section-title"><i class="fas fa-building"></i> Stocks Included</h2>
                <div class="row">
                    <div class="col-md-6">
                        <div class="stock-card">
                            <div class="stock-symbol"><i class="fab fa-apple"></i> AAPL</div>
                            <strong>Apple Inc.</strong><br>
                            <small class="text-muted">Technology • Consumer Electronics</small>
                            <p class="mt-2 mb-0">Leading technology company known for iPhones, Mac, and innovative products.</p>
                        </div>
                    </div>
                    <div class="col-md-6">
                        <div class="stock-card">
                            <div class="stock-symbol"><i class="fab fa-google"></i> GOOGL</div>
                            <strong>Alphabet Inc.</strong><br>
                            <small class="text-muted">Technology • Internet Services</small>
                            <p class="mt-2 mb-0">Parent company of Google, leader in search, advertising, and cloud services.</p>
                        </div>
                    </div>
                    <div class="col-md-6">
                        <div class="stock-card">
                            <div class="stock-symbol"><i class="fab fa-microsoft"></i> MSFT</div>
                            <strong>Microsoft Corporation</strong><br>
                            <small class="text-muted">Technology • Software Infrastructure</small>
                            <p class="mt-2 mb-0">Software giant with Windows, Office, Azure, and enterprise solutions.</p>
                        </div>
                    </div>
                    <div class="col-md-6">
                        <div class="stock-card">
                            <div class="stock-symbol"><i class="fab fa-amazon"></i> AMZN</div>
                            <strong>Amazon.com Inc.</strong><br>
                            <small class="text-muted">Consumer Cyclical • Internet Retail</small>
                            <p class="mt-2 mb-0">E-commerce leader with AWS cloud services and diverse business portfolio.</p>
                        </div>
                    </div>
                    <div class="col-md-6">
                        <div class="stock-card">
                            <div class="stock-symbol"><i class="fas fa-car"></i> TSLA</div>
                            <strong>Tesla Inc.</strong><br>
                            <small class="text-muted">Consumer Cyclical • Auto Manufacturers</small>
                            <p class="mt-2 mb-0">Electric vehicle pioneer and clean energy company led by Elon Musk.</p>
                        </div>
                    </div>
                </div>
            </section>
            
            <!-- Data Format -->
            <section>
                <h2 class="section-title"><i class="fas fa-table"></i> Data Format</h2>
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                    <table class="table table-striped table-hover">
                        <thead class="table-dark">
                            <tr>
                                <th>Column</th>
                                <th>Description</th>
                                <th>Type</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td><strong>Date</strong></td>
                                <td>Trading date (YYYY-MM-DD format)</td>
                                <td>Date</td>
                            </tr>
                            <tr>
                                <td><strong>Open</strong></td>
                                <td>Opening price of the trading day</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>High</strong></td>
                                <td>Highest price during the trading day</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>Low</strong></td>
                                <td>Lowest price during the trading day</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>Close</strong></td>
                                <td>Closing price of the trading day</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>Volume</strong></td>
                                <td>Total number of shares traded</td>
                                <td>Integer</td>
                            </tr>
                            <tr>
                                <td><strong>Adj Close</strong></td>
                                <td>Adjusted closing price (splits/dividends)</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>MA_20</strong></td>
                                <td>20-day Simple Moving Average</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>MA_50</strong></td>
                                <td>50-day Simple Moving Average</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>RSI</strong></td>
                                <td>Relative Strength Index (momentum indicator)</td>
                                <td>Float</td>
                            </tr>
                            <tr>
                                <td><strong>MACD</strong></td>
                                <td>Moving Average Convergence Divergence</td>
                                <td>Float</td>
                            </tr>
                        </tbody>
                    </table>
                </div>
            </section>
            
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            <section>
                <h2 class="section-title"><i class="fas fa-lightbulb"></i> Use Cases</h2>
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                        <ul class="list-group list-group-flush">
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Time Series Forecasting (ARIMA, LSTM, Prophet)</li>
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Technical Analysis & Trading Strategies</li>
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Portfolio Optimization & Asset Allocation</li>
                        </ul>
                    </div>
                    <div class="col-md-6">
                        <ul class="list-group list-group-flush">
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Risk Assessment & Volatility Analysis</li>
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Machine Learning Model Training</li>
                            <li class="list-group-item"><i class="fas fa-check text-success me-2"></i> Algorithmic Trading & Backtesting</li>
                        </ul>
                    </div>
                </div>
            </section>
            
            <!-- Quick Start -->
            <section>
                <h2 class="section-title"><i class="fas fa-rocket"></i> Quick Start</h2>
                <div class="card">
                    <div class="card-body">
                        <h5 class="card-title">Python Example</h5>
                        <pre class="bg-dark text-light p-3 rounded"><code>import pandas as pd

# Load stock data
df = pd.read_csv('data/AAPL.csv', parse_dates=['Date'], index_col='Date')

# Display first few rows
print(df.head())

# Calculate daily returns
df['Returns'] = df['Close'].pct_change()

# Calculate volatility
volatility = df['Returns'].std() * (252 ** 0.5)
print(f"Annualized Volatility: {volatility:.2%}")</code></pre>
                        
                        <h5 class="card-title mt-4">Using Provided Scripts</h5>
                        <pre class="bg-dark text-light p-3 rounded"><code># Load and analyze data
from scripts.load_data import StockDataLoader
from scripts.analyze import StockAnalyzer

loader = StockDataLoader()
aapl = loader.load_stock('AAPL')

analyzer = StockAnalyzer('data/AAPL.csv')
analyzer.summary_statistics()
analyzer.plot_price_history()</code></pre>
                    </div>
                </div>
            </section>
            
            <!-- Download -->
            <section class="text-center mt-5">
                <h2 class="section-title"><i class="fas fa-download"></i> Download Dataset</h2>
                <p class="mb-4">Get the complete dataset with all stock data, metadata, and Python scripts.</p>
                <a href="stock-time-series.zip" class="btn btn-custom btn-lg me-2">
                    <i class="fas fa-download me-2"></i>Download Dataset
                </a>
                <a href="https://github.com/rskworld" target="_blank" class="btn btn-outline-secondary btn-lg">
                    <i class="fab fa-github me-2"></i>View on GitHub
                </a>
            </section>
            
            <!-- Contact Information -->
            <section>
                <div class="contact-info">
                    <h3 class="mb-4"><i class="fas fa-envelope"></i> Contact Information</h3>
                    <div class="row">
                        <div class="col-md-6">
                            <p><strong><i class="fas fa-user"></i> Author:</strong> Molla Samser</p>
                            <p><strong><i class="fas fa-building"></i> Organization:</strong> RSK World</p>
                            <p><strong><i class="fas fa-user-check"></i> Designer & Tester:</strong> Rima Khatun</p>
                        </div>
                        <div class="col-md-6">
                            <p><strong><i class="fas fa-globe"></i> Website:</strong> <a href="https://rskworld.in/" target="_blank">rskworld.in</a></p>
                            <p><strong><i class="fas fa-envelope"></i> Email:</strong> <a href="mailto:help@rskworld.in">help@rskworld.in</a></p>
                            <p><strong><i class="fas fa-phone"></i> Phone:</strong> +91 93305 39277</p>
                        </div>
                    </div>
                    <p class="mt-3 mb-0"><strong><i class="fas fa-map-marker-alt"></i> Address:</strong> Nutanhat, Mongolkote, Purba Burdwan, West Bengal, India, 713147</p>
                </div>
            </section>
            
            <!-- Footer -->
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                <p class="mb-2">
                    <strong>Stock Market Time Series Dataset</strong> | Created by <a href="https://rskworld.in/" target="_blank" class="text-decoration-none">RSK World</a>
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                <p class="mb-2">
                    <a href="https://rskworld.in/" target="_blank" class="text-decoration-none me-3">
                        <i class="fas fa-globe"></i> Website
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                    <a href="mailto:help@rskworld.in" class="text-decoration-none me-3">
                        <i class="fas fa-envelope"></i> Email
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                    © 2024 RSK World. All rights reserved. | For educational and research purposes.
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