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| 1 | +<!DOCTYPE html> |
| 2 | +<html lang="en"> |
| 3 | +<head> |
| 4 | + <meta charset="UTF-8"> |
| 5 | + <meta name="viewport" content="width=device-width, initial-scale=1.0"> |
| 6 | + <title>TrendMaster: Advanced Stock Price Prediction</title> |
| 7 | + <style> |
| 8 | + :root { |
| 9 | + --primary-color: #2563EB; |
| 10 | + --secondary-color: #10B981; |
| 11 | + --text-color: #1F2937; |
| 12 | + --background-color: #F9FAFB; |
| 13 | + } |
| 14 | + body { |
| 15 | + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif; |
| 16 | + line-height: 1.6; |
| 17 | + color: var(--text-color); |
| 18 | + max-width: 800px; |
| 19 | + margin: 0 auto; |
| 20 | + padding: 20px; |
| 21 | + background-color: var(--background-color); |
| 22 | + } |
| 23 | + .header { |
| 24 | + text-align: center; |
| 25 | + padding: 2rem 0; |
| 26 | + background: linear-gradient(135deg, var(--primary-color), var(--secondary-color)); |
| 27 | + color: white; |
| 28 | + border-radius: 10px; |
| 29 | + margin-bottom: 2rem; |
| 30 | + } |
| 31 | + .header h1 { |
| 32 | + margin: 0; |
| 33 | + font-size: 2.5rem; |
| 34 | + } |
| 35 | + .badges { |
| 36 | + display: flex; |
| 37 | + justify-content: center; |
| 38 | + flex-wrap: wrap; |
| 39 | + gap: 10px; |
| 40 | + margin-top: 1rem; |
| 41 | + } |
| 42 | + .badge { |
| 43 | + background-color: rgba(255,255,255,0.2); |
| 44 | + padding: 5px 10px; |
| 45 | + border-radius: 20px; |
| 46 | + font-size: 0.8rem; |
| 47 | + } |
| 48 | + .section { |
| 49 | + background-color: white; |
| 50 | + border-radius: 10px; |
| 51 | + box-shadow: 0 4px 6px rgba(0,0,0,0.1); |
| 52 | + padding: 1.5rem; |
| 53 | + margin-bottom: 1.5rem; |
| 54 | + } |
| 55 | + pre { |
| 56 | + background-color: #f4f4f4; |
| 57 | + border-radius: 5px; |
| 58 | + padding: 1rem; |
| 59 | + overflow-x: auto; |
| 60 | + } |
| 61 | + .cta-button { |
| 62 | + display: inline-block; |
| 63 | + background-color: var(--primary-color); |
| 64 | + color: white; |
| 65 | + padding: 12px 24px; |
| 66 | + text-decoration: none; |
| 67 | + border-radius: 8px; |
| 68 | + font-weight: bold; |
| 69 | + transition: transform 0.3s ease; |
| 70 | + } |
| 71 | + .cta-button:hover { |
| 72 | + transform: translateY(-3px); |
| 73 | + box-shadow: 0 4px 6px rgba(0,0,0,0.2); |
| 74 | + } |
| 75 | + .project-links { |
| 76 | + display: flex; |
| 77 | + justify-content: center; |
| 78 | + gap: 1rem; |
| 79 | + margin-top: 1.5rem; |
| 80 | + } |
| 81 | + .project-links a { |
| 82 | + color: var(--primary-color); |
| 83 | + text-decoration: none; |
| 84 | + font-weight: bold; |
| 85 | + } |
| 86 | + .footer { |
| 87 | + text-align: center; |
| 88 | + padding: 1rem 0; |
| 89 | + color: #6B7280; |
| 90 | + } |
| 91 | + .performance-images { |
| 92 | + display: flex; |
| 93 | + flex-wrap: wrap; |
| 94 | + justify-content: center; |
| 95 | + gap: 1rem; |
| 96 | + } |
| 97 | + .performance-images img { |
| 98 | + max-width: 100%; |
| 99 | + border-radius: 10px; |
| 100 | + box-shadow: 0 4px 6px rgba(0,0,0,0.1); |
| 101 | + } |
| 102 | + @media (max-width: 600px) { |
| 103 | + body { |
| 104 | + padding: 10px; |
| 105 | + } |
| 106 | + .header h1 { |
| 107 | + font-size: 2rem; |
| 108 | + } |
| 109 | + } |
| 110 | + </style> |
| 111 | +</head> |
| 112 | +<body> |
| 113 | + <div class="header"> |
| 114 | + <h1>🚀 TrendMaster</h1> |
| 115 | + <p>Advanced Stock Price Prediction using Transformer Deep Learning</p> |
| 116 | + <div class="badges"> |
| 117 | + <span class="badge">Python 3.7+</span> |
| 118 | + <span class="badge">MIT License</span> |
| 119 | + <span class="badge">GitHub Stars</span> |
| 120 | + <span class="badge">GitHub Forks</span> |
| 121 | + </div> |
| 122 | + </div> |
| 123 | + |
| 124 | + <div class="section"> |
| 125 | + <h2>🌟 Key Features</h2> |
| 126 | + <ul> |
| 127 | + <li>Advanced Transformer-based prediction model</li> |
| 128 | + <li>High accuracy with mean average error of just a few percentage points</li> |
| 129 | + <li>Real-time data visualization</li> |
| 130 | + <li>User-friendly interface</li> |
| 131 | + <li>Customizable model parameters</li> |
| 132 | + <li>Support for multiple stock symbols</li> |
| 133 | + </ul> |
| 134 | + </div> |
| 135 | + |
| 136 | + <div class="section"> |
| 137 | + <h2>🛠️ Installation</h2> |
| 138 | + <pre><code>pip install TrendMaster</code></pre> |
| 139 | + </div> |
| 140 | + |
| 141 | + <div class="section"> |
| 142 | + <h2>💡 Quick Start</h2> |
| 143 | + <pre><code>from trendmaster import DataLoader, TransAm, Trainer, Inferencer, set_seed |
| 144 | + |
| 145 | +# Set random seed |
| 146 | +set_seed(42) |
| 147 | + |
| 148 | +# Initialize data loader |
| 149 | +data_loader = DataLoader() |
| 150 | + |
| 151 | +# Prepare stock data |
| 152 | +train_data, test_data = data_loader.prepare_data( |
| 153 | + symbol='RELIANCE', |
| 154 | + from_date='2023-01-01', |
| 155 | + to_date='2023-02-27', |
| 156 | + input_window=30, |
| 157 | + output_window=10 |
| 158 | +) |
| 159 | + |
| 160 | +# Train model |
| 161 | +model = TransAm(num_layers=2, dropout=0.2) |
| 162 | +trainer = Trainer(model, device) |
| 163 | +trainer.train(train_data, test_data)</code></pre> |
| 164 | + </div> |
| 165 | + |
| 166 | + <div class="section"> |
| 167 | + <h2>📊 Performance Highlights</h2> |
| 168 | + <div class="performance-images"> |
| 169 | + <img src="https://github.com/user-attachments/assets/c2e7a910-3aa8-494d-958e-48199cf85459" alt="Backtest Performance"> |
| 170 | + <img src="https://user-images.githubusercontent.com/12392345/125791397-a344831b-b28c-4660-b295-924cb7123872.png" alt="Prediction Accuracy"> |
| 171 | + </div> |
| 172 | + </div> |
| 173 | + |
| 174 | + <div class="section"> |
| 175 | + <h2>🖥️ User Interface</h2> |
| 176 | + <img src="https://user-images.githubusercontent.com/12392345/125791827-a4597af0-1292-42d0-9eb1-118d7ef64cbc.png" alt="TrendMaster UI" style="max-width: 100%; border-radius: 10px;"> |
| 177 | + </div> |
| 178 | + |
| 179 | + <div class="project-links"> |
| 180 | + <a href="https://github.com/hemangjoshi37a/TrendMaster/wiki">Documentation</a> |
| 181 | + <a href="https://github.com/hemangjoshi37a/TrendMaster/blob/main/CONTRIBUTING.md">Contribute</a> |
| 182 | + <a href="https://github.com/hemangjoshi37a/TrendMaster/blob/main/LICENSE">License</a> |
| 183 | + </div> |
| 184 | + |
| 185 | + <div class="section"> |
| 186 | + <h2>🌍 Connect With Us</h2> |
| 187 | + <p> |
| 188 | + <strong>Website:</strong> <a href="https://hjlabs.in/">hjlabs.in</a><br> |
| 189 | + <strong>Email: </strong> <a href=" mailto:[email protected]" >[email protected]</a><br> |
| 190 | + <strong>LinkedIn:</strong> <a href="https://www.linkedin.com/in/hemang-joshi-046746aa">Hemang Joshi</a> |
| 191 | + </p> |
| 192 | + </div> |
| 193 | + |
| 194 | + <div class="section"> |
| 195 | + <h2>🚀 Explore More Projects</h2> |
| 196 | + <div class="project-links"> |
| 197 | + <a href="https://github.com/hemangjoshi37a/pyPortMan">pyPortMan</a> |
| 198 | + <a href="https://github.com/hemangjoshi37a/AutoCut">AutoCut</a> |
| 199 | + <a href="https://github.com/hemangjoshi37a/TelegramTradeMsgBacktestML">TelegramTradeMsgBacktestML</a> |
| 200 | + </div> |
| 201 | + </div> |
| 202 | + |
| 203 | + <div class="section" style="text-align: center;"> |
| 204 | + <h2>💡 Try hjAlgos Trading Platform</h2> |
| 205 | + <a href="https://hjalgos.hjlabs.in" class="cta-button">Explore AlgoTrading Platform</a> |
| 206 | + </div> |
| 207 | + |
| 208 | + <div class="footer"> |
| 209 | + <p>Created with ❤️ by <a href="https://github.com/hemangjoshi37a">Hemang Joshi</a></p> |
| 210 | + </div> |
| 211 | +</body> |
| 212 | +</html> |
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