Files
Quant_Code/web/templates/index.html
Win_home e449354b69 Add web application for real-time CSV data visualization and analysis
- Created Flask web application (app.py) to display and analyze trading data
- Implemented data loading, processing, and email notification features
- Added HTML templates for interactive data viewing
- Included ultimate smoother and trend detection algorithms
- Configured dynamic file selection and data rendering
2025-03-02 17:02:41 +08:00

107 lines
3.5 KiB
HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>订单流实时数据监控</title>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/1.11.5/css/dataTables.bootstrap5.min.css">
<style>
table {
width: 100%;
border-collapse: collapse;
}
table, th, td {
border: 1px solid black;
}
th, td {
padding: 8px;
text-align: center;
}
button {
margin: 10px;
padding: 10px;
cursor: pointer;
}
</style>
</head>
<body>
<h1>Real-Time CSV Data Viewer</h1>
<!-- 动态生成按钮 -->
{% for file_name, file_path in files.items() %}
<button onclick="loadData('{{ file_name }}')">{{ file_name }}</button>
{% endfor %}
<h3>Data for {{ file_name }}</h3>
<table id="data-table">
<thead>
<tr>
<th>Symbol</th>
<th>Datetime</th>
<th>Delta</th>
<th>Close</th>
<th>Open</th>
<th>High</th>
<th>Low</th>
<th>Volume</th>
<th>DJ</th>
<th>Delta累计</th>
<th>POC</th>
<th>终极平滑值</th>
<th>趋势方向</th>
</tr>
</thead>
<tbody>
{% for row in data %}
<tr>
<td>{{ row.symbol }}</td>
<td>{{ row.datetime }}</td>
<td>{{ row.delta }}</td>
<td>{{ row.close }}</td>
<td>{{ row.open }}</td>
<td>{{ row.high }}</td>
<td>{{ row.low }}</td>
<td>{{ row.volume }}</td>
<td>{{ row.dj }}</td>
<td>{{ row.delta累计 }}</td>
<td>{{ row.POC }}</td>
<td>{{ row.终极平滑值 }}</td>
<td>{{ row.趋势方向 }}</td>
</tr>
{% endfor %}
</tbody>
</table>
<script>
function loadData(fileName) {
fetch('/data/' + fileName)
.then(response => response.json())
.then(data => {
let tableBody = document.querySelector("#data-table tbody");
tableBody.innerHTML = ''; // 清空现有数据行
data.forEach(row => {
let rowElement = document.createElement('tr');
rowElement.innerHTML = `
<td>${row.symbol}</td>
<td>${row.datetime}</td>
<td>${row.delta}</td>
<td>${row.close}</td>
<td>${row.open}</td>
<td>${row.high}</td>
<td>${row.low}</td>
<td>${row.volume}</td>
<td>${row.dj}</td>
<td>${row.delta累计}</td>
<td>${row.POC}</td>
<td>${row.终极平滑值}</td>
<td>${row.趋势方向}</td>
`;
tableBody.appendChild(rowElement);
});
});
}
</script>
</body>
</html>