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feat: UI improvements and error suppression - Enhanced dashboard and market pages with improved header buttons, logo, and currency symbol display - Stopped animated ticker - Removed pie chart legends - Added error suppressor for external service errors (SSE, Permissions-Policy warnings) - Improved header button prominence and icon appearance - Enhanced logo with glow effects and better design - Fixed currency symbol visibility in market tables
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<!DOCTYPE html>
<html lang="en" dir="ltr" data-theme="light">
<head>
 <meta charset="UTF-8">
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 <meta http-equiv="Permissions-Policy" content="accelerometer=(), camera=(), geolocation=(), gyroscope=(), magnetometer=(), microphone=(), payment=(), usb=()">
 <meta name="description" content="Help & Setup Guide for Crypto Monitor ULTIMATE on Hugging Face">
 <title>Help | Crypto Monitor ULTIMATE</title>
<link rel="icon" type="image/svg+xml" href="/static/assets/icons/favicon.svg">
<!-- Shared CSS -->
 <link rel="stylesheet" href="/static/shared/css/design-system.css">
 <link rel="stylesheet" href="/static/shared/css/global.css">
 <link rel="stylesheet" href="/static/shared/css/components.css">
 <link rel="stylesheet" href="/static/shared/css/layout.css">
 <link rel="stylesheet" href="/static/shared/css/utilities.css">
 <link rel="stylesheet" href="/static/shared/css/enhanced-resolution.css">
<!-- Page-specific CSS -->
 <link rel="stylesheet" href="/static/pages/help/help.css">
 <!-- API Configuration - Smart Fallback System -->
 <script src="/static/js/api-config.js"></script>
 <script>
 // Initialize API client
 window.apiReady = new Promise((resolve) => {
 if (window.apiClient) {
 console.log('✅ API Client ready');
 resolve(window.apiClient);
 } else {
 console.error('❌ API Client not loaded');
 }
 });
 </script>
</head>
<body>
 <div class="app-container">
 <aside id="sidebar-container"></aside>
<main class="main-content">
 <header id="header-container"></header>
<div class="page-content">
 <div class="page-header">
 <div class="page-title">
 <h1>
 <span class="page-icon">
 <svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"></circle><line x1="12" y1="16" x2="12" y2="12"></line><line x1="12" y1="8" x2="12.01" y2="8"></line></svg>
 </span>
 Help & Setup (Hugging Face)
 </h1>
 <p class="page-subtitle">
 Quick guide for configuring API keys, endpoints, and troubleshooting on Hugging Face Spaces.
 <br>
 <strong>Space URL:</strong>
<a href="https://huggingface.co/spaces/Really-amin/Datasourceforcryptocurrency-2"
target="_blank"
style="color: var(--color-primary); text-decoration: underline;">
 https://huggingface.co/spaces/Really-amin/Datasourceforcryptocurrency-2
 </a>
 <br>
 <strong>API Base:</strong> <code>https://Really-amin-Datasourceforcryptocurrency-2.hf.space</code>
 </p>
 </div>
 </div>
<section class="help-section" id="connect-service">
 <h2>1. Connecting to the Service</h2>
 <p>
 The app needs a running FastAPI backend (locally or on Hugging Face) with all required
 routes and environment variables configured.
 </p>
 <ul class="help-list">
 <li><strong>Start server locally</strong>:
 <code>python -m uvicorn production_server:app --host 0.0.0.0 --port 7860</code>
 or
 <code>python -m uvicorn hf_unified_server:app --host 0.0.0.0 --port 7860</code>.
 </li>
 <li><strong>HF Spaces</strong>: configure the Space command to start <code>hf_unified_server:app</code>
 and set API keys in <strong>Settings → Variables and secrets</strong>.</li>
 <li><strong>Required model routes</strong>:
 <code>/api/models/list</code>, <code>/api/models/status</code>,
 <code>/api/models/health</code>, <code>/api/models/reinit-all</code>.
 </li>
 </ul>
 <p class="help-note">
 Open <code>/docs</code> (Swagger UI) to confirm these routes exist and respond with HTTP 200.
 </p>
 </section>
<section class="help-section" id="api-keys">
 <h2>2. Environment Variables & API Keys</h2>
 <p>
 System uses <strong>55 functional resources</strong> with <strong>11 active API keys</strong>.
 Many features use external services with automatic fallback to backup providers.
 </p>
 <div class="resources-summary">
 <h3>Available Resources:</h3>
 <ul class="help-list">
 <li><strong>Total Functional Resources:</strong> 55 (87.3% success rate)</li>
 <li><strong>Total API Keys:</strong> 11 active keys</li>
 <li><strong>Total Endpoints:</strong> 200+ endpoints</li>
 <li><strong>Market Data:</strong> 13 providers (3 with keys, 10 free)</li>
 <li><strong>News:</strong> 10 providers (2 with keys, 8 free)</li>
 <li><strong>Sentiment:</strong> 6 providers (all free)</li>
 <li><strong>Analytics:</strong> 13 providers (all free)</li>
 <li><strong>Block Explorers:</strong> 6 providers (5 with keys)</li>
 </ul>
 </div>
 <h3>API Keys Configuration:</h3>
 <ul class="help-list">
 <li><strong>HF Inference</strong>: <code>HF_TOKEN</code> or <code>HF_API_TOKEN</code></li>
 <li><strong>CoinMarketCap</strong>: <code>COINMARKETCAP_KEY_1</code>, <code>COINMARKETCAP_KEY_2</code></li>
 <li><strong>NewsAPI</strong>: <code>NEWSAPI_KEY</code></li>
 <li><strong>CryptoCompare</strong>: <code>CRYPTOCOMPARE_KEY</code></li>
 <li><strong>Alpha Vantage</strong>: <code>ALPHA_VANTAGE_KEY</code></li>
 <li><strong>Etherscan</strong>: <code>ETHERSCAN_KEY</code>, <code>ETHERSCAN_BACKUP_KEY</code></li>
 <li><strong>BscScan</strong>: <code>BSCSCAN_KEY</code></li>
 <li><strong>TronScan</strong>: <code>TRONSCAN_KEY</code></li>
 </ul>
 <p class="help-note">
 System automatically uses fallback providers if primary source fails. After changing variables on Hugging Face, restart the Space.
 </p>
 </section>
<section class="help-section" id="dashboard-usage">
 <h2>3. Dashboard & Prices</h2>
 <p>
 The Dashboard pulls real-time data from endpoints like
 <code>/api/status</code>, <code>/api/resources</code>,
 <code>/api/trending</code>, <code>/api/coins/top</code>,
 and <code>/api/sentiment/global</code>.
 </p>
 <ul class="help-list">
 <li><strong>Top coins</strong>:
 <code>GET /api/coins/top?limit=50</code> returns prices, market cap and volume.</li>
 <li><strong>Global sentiment</strong>:
 <code>GET /api/sentiment/global</code> returns overall market mood and history.</li>
 <li><strong>No sentiment / categories data</strong>:
 check the Network tab for these endpoints and ensure they return non-empty JSON.</li>
 </ul>
 </section>
<section class="help-section" id="models-usage">
 <h2>4. Models, AI Analyst & Sentiment Testing</h2>
 <p>
 The Models and AI Analyst pages use backend AI routes for model management,
 sentiment analysis and trading decisions.
 </p>
 <ul class="help-list">
 <li><strong>Re-initialize models</strong>:
 <code>POST /api/models/reinit-all</code> (triggered by the “Re-initialize All” button).</li>
 <li><strong>List & health</strong>:
 <code>GET /api/models/list</code>, <code>/api/models/status</code>,
 <code>/api/models/health</code> power the model cards and health monitor.</li>
 <li><strong>Sentiment analysis</strong>:
 <code>POST /api/sentiment/analyze</code> with a payload such as
 <code>{"text": "...", "mode": "crypto", "model_key": "CryptoBERT"}</code>.</li>
 <li><strong>AI Analyst decisions</strong>:
 <code>POST /api/ai/decision</code> returns structured buy / sell / hold style
 recommendations with confidence, signals, risks and price targets for the
 AI Analyst page.</li>
 <li><strong>WebSocket (OPTIONAL) vs HTTP (Recommended)</strong>:
 <ul>
 <li><strong>HTTP REST API (Recommended):</strong> All data is available via HTTP endpoints.
This is the primary and most reliable method. Use endpoints like
<code>GET /api/market</code>, <code>GET /api/models/status</code>, etc.</li>
 <li><strong>WebSocket (Optional Alternative):</strong> Provided as an optional alternative for
users who prefer real-time streaming. Not required - HTTP works perfectly.</li>
 <li>If WebSocket is unavailable or blocked, the app automatically uses HTTP polling (30s intervals).</li>
 <li>All features work identically with HTTP - WebSocket is just a different transport method.</li>
 </ul>
 </li>
 <li><strong>WebSocket Connection Issues (Non-Critical)</strong>:
 If you see WebSocket errors (403, connection refused, etc.), this is expected and non-critical:
 <ul>
 <li>HuggingFace Spaces may limit WebSocket connections - this is normal</li>
 <li>Network/firewall may block WebSocket - use HTTP instead</li>
 <li>The application automatically falls back to HTTP polling - no action needed</li>
 <li><strong>All functionality works via HTTP endpoints - WebSocket is completely optional</strong></li>
 </ul>
 </li>
 </ul>
 </section>
<section class="help-section" id="providers-usage">
 <h2>5. Providers & Resources</h2>
 <p>
 System has <strong>55 functional resources</strong> organized in backup providers.
 All resources are automatically loaded from <code>functional_backup_resources.py</code>.
 </p>
 <ul class="help-list">
 <li><strong>List providers</strong>:
 <code>GET /api/providers</code> returns configured data sources and their status.</li>
 <li><strong>Resources stats</strong>:
 <code>GET /api/resources/stats</code> returns total resources, API keys count, and success rate.</li>
 <li><strong>Automatic Fallback</strong>: System automatically switches to backup providers if primary fails.</li>
 <li><strong>Error Handling</strong>: All endpoints have timeout (10s) and fallback mechanisms.</li>
 <li>Use the UI Providers page to inspect availability, auth requirements, and categories.</li>
 </ul>
 <h3>Available Endpoints:</h3>
 <ul class="help-list">
 <li><code>GET /api/ohlcv?symbol=BTC&timeframe=1h&limit=500</code> - OHLCV data (Binance + cache)</li>
 <li><code>GET /api/klines?symbol=BTCUSDT&interval=1h&limit=500</code> - Alias to OHLCV</li>
 <li><code>GET /api/historical?symbol=BTC&days=30</code> - Historical data</li>
 <li><code>GET /api/signals</code> - Trading signals (empty array, client-side generation)</li>
 <li><code>GET /api/fear-greed</code> - Fear & Greed Index (alias to sentiment)</li>
 <li><code>GET /api/whale</code> - Whale transactions (from cache)</li>
 <li><code>GET /api/market?limit=100</code> - Market data (with fallback providers)</li>
 <li><code>GET /api/news?limit=20</code> - News articles (with fallback providers)</li>
 </ul>
 </section>
<section class="help-section" id="troubleshooting">
 <h2>6. Troubleshooting</h2>
 <ol class="help-steps">
 <li><strong>WebSocket Connection Errors</strong>: If you see WebSocket connection failures:
 <ul>
 <li>This is <strong>expected and non-critical</strong> on Hugging Face Spaces</li>
 <li>The application automatically falls back to HTTP polling (30s intervals)</li>
 <li>All features work perfectly without WebSocket - no action needed</li>
 <li>See <code>docs/WEBSOCKET_TROUBLESHOOTING.md</code> for detailed information</li>
 </ul>
 </li>
 <li>If you see 404 or 500, confirm the server process (production or unified) is running
 and that the endpoint appears in <code>/docs</code>.</li>
 <li>If a page shows "No data", open DevTools → Network and inspect failing calls such as
 <code>/api/resources</code>, <code>/api/sentiment/global</code>, or model routes.</li>
 <li>If responses are empty, verify your API keys and upstream providers, then restart the server or Space.</li>
 <li><strong>Model Loading Failures</strong>: If models fail to load with "not a valid model identifier" errors:
 <ul>
 <li>Verify the model exists on Hugging Face Hub (check the model page URL)</li>
 <li>For private/gated models, ensure <code>HF_TOKEN</code> or <code>HF_API_TOKEN</code> is set</li>
 <li>Some models may require authentication even if marked as public</li>
 <li>The system will use fallback lexical analysis if models fail to load</li>
 </ul>
 </li>
 <li>Hard-refresh the browser (<code>Ctrl+Shift+R</code>) to bypass stale caches.</li>
 <li>Warnings about <code>ambient-light-sensor</code> or <code>battery</code> can be ignored unless features visibly break.</li>
 </ol>
 </section>
<section class="help-section" id="websocket-config">
 <h2>7. WebSocket (Optional) - Alternative Data Retrieval Method</h2>
 <p class="help-note" style="margin-bottom: var(--space-4); padding: var(--space-3); background: var(--surface-elevated); border-left: 4px solid var(--color-primary);">
 <strong>⚠️ IMPORTANT:</strong> WebSocket is <strong>completely optional</strong>. All data can be retrieved via HTTP REST API endpoints.
 WebSocket is just an alternative method for users who prefer real-time streaming. If WebSocket is unavailable or you prefer HTTP,
 the application automatically uses HTTP polling (30-second intervals) and all features work perfectly.
 </p>
 <p>
 The system supports WebSocket connections as an <strong>optional alternative</strong> for real-time data streaming.
 WebSocket is <strong>not required</strong> - the application automatically falls back to HTTP polling if WebSocket is unavailable.
 This is just another option users can choose if they prefer real-time updates over polling.
 </p>
<h3>Available WebSocket Endpoints (Optional - Use HTTP if Preferred):</h3>
 <p class="help-note">
 <strong>For HuggingFace Space:</strong> <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/...</code>
 <br><strong>Note:</strong> WebSocket may be limited on HuggingFace Spaces. HTTP endpoints are recommended and work perfectly.
 </p>
 <ul class="help-list">
 <li><strong>Master Endpoint</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/master</code>
 <ul>
 <li>Access to all services (market data, news, sentiment, monitoring, HuggingFace)</li>
 <li>Supports subscription/unsubscription to specific services</li>
 <li>Send JSON messages: <code>{"action": "subscribe", "service": "market_data"}</code></li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/market</code>, <code>GET /api/news</code>, etc.</li>
 </ul>
 </li>
 <li><strong>Live Data</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/live</code>
 <ul>
 <li>Real-time price updates, market snapshots, and OHLCV data</li>
 <li>Automatic heartbeat/ping-pong for connection health</li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/ohlcv</code> with polling (30s intervals)</li>
 </ul>
 </li>
 <li><strong>AI Data</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/ai/data</code>
 <ul>
 <li>Real-time AI model status, sentiment analysis results</li>
 <li>HuggingFace model loading/unloading notifications</li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/models/status</code> with polling</li>
 </ul>
 </li>
 <li><strong>Data Collection</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/data</code>
 <ul>
 <li>Market data, news, sentiment, whale tracking streams</li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/market</code>, <code>GET /api/news</code>, etc.</li>
 </ul>
 </li>
 <li><strong>Monitoring</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/monitoring</code>
 <ul>
 <li>Health checks, pool manager status, scheduler status</li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/status</code>, <code>GET /api/resources/stats</code></li>
 </ul>
 </li>
 <li><strong>Integration</strong>: <code>wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/integration</code>
 <ul>
 <li>HuggingFace integration status, persistence updates</li>
 <li><strong>Alternative HTTP:</strong> Use <code>GET /api/resources/stats/combined</code></li>
 </ul>
 </li>
 </ul>
<h3>WebSocket Usage Example (Optional):</h3>
 <pre class="code-block"><code>// OPTIONAL: WebSocket connection for real-time updates
// If WebSocket fails, use HTTP endpoints instead (recommended)
const ws = new WebSocket('wss://Really-amin-Datasourceforcryptocurrency-2.hf.space/ws/master');
ws.onopen = () => {
 console.log('WebSocket connected (optional)');
 // Subscribe to market data
 ws.send(JSON.stringify({
 action: 'subscribe',
 service: 'market_data'
 }));
};
ws.onmessage = (event) => {
 const data = JSON.parse(event.data);
 console.log('Real-time update:', data);
};
ws.onerror = (error) => {
 console.warn('WebSocket error (non-critical):', error);
 // Fallback to HTTP polling
 setInterval(() => {
 fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/market')
 .then(r => r.json())
 .then(data => console.log('HTTP poll result:', data));
 }, 30000);
};
// ALTERNATIVE: Use HTTP polling (recommended, works everywhere)
setInterval(async () => {
 const response = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/market?limit=100');
 const data = await response.json();
 console.log('Market data:', data);
}, 30000); // Poll every 30 seconds
</code></pre>
<h3>WebSocket Error Handling:</h3>
 <ul class="help-list">
 <li><strong>Automatic Reconnection</strong>: Client automatically reconnects with exponential backoff (1s → 16s max)</li>
 <li><strong>Connection State Management</strong>: Tracks connection status (connecting, connected, disconnected)</li>
 <li><strong>Error Logging</strong>: All WebSocket errors are logged with client ID and timestamp</li>
 <li><strong>Graceful Degradation</strong>: If WebSocket fails, app falls back to HTTP polling (30s intervals)</li>
 <li><strong>Timeout Handling</strong>: 30-second timeout for WebSocket operations</li>
 <li><strong>Message Validation</strong>: Invalid JSON messages are caught and logged without crashing</li>
 <li><strong>Connection Cleanup</strong>: Proper cleanup on disconnect prevents memory leaks</li>
 </ul>
<h3>WebSocket Configuration:</h3>
 <ul class="help-list">
 <li><strong>Protocol Detection</strong>: Automatically uses <code>wss://</code> for HTTPS and <code>ws://</code> for HTTP</li>
 <li><strong>Heartbeat</strong>: Ping messages every 30 seconds to keep connection alive</li>
 <li><strong>Max Connections</strong>: No hard limit, but rate limiting applies per client</li>
 <li><strong>CORS</strong>: WebSocket connections respect CORS settings from main server</li>
 <li><strong>Authentication</strong>: Optional - can require <code>HF_TOKEN</code> for protected endpoints</li>
 </ul>
<h3>Troubleshooting WebSocket Issues:</h3>
 <ol class="help-steps">
 <li><strong>Connection Refused (403/404)</strong>:
 <ul>
 <li>Check if WebSocket endpoint exists in <code>/docs</code></li>
 <li>Verify server is running and WebSocket routes are registered</li>
 <li>On Hugging Face Spaces, WebSocket may be limited - this is normal and non-critical</li>
 </ul>
 </li>
 <li><strong>Connection Timeout</strong>:
 <ul>
 <li>Check network connectivity</li>
 <li>Verify firewall/proxy allows WebSocket connections</li>
 <li>Application will automatically fall back to HTTP polling</li>
 </ul>
 </li>
 <li><strong>Message Parsing Errors</strong>:
 <ul>
 <li>Ensure messages are valid JSON</li>
 <li>Check message format matches expected schema</li>
 <li>Errors are logged but don't crash the connection</li>
 </ul>
 </li>
 <li><strong>High Memory Usage</strong>:
 <ul>
 <li>Connection manager automatically cleans up disconnected clients</li>
 <li>Event logs are limited to last 100 events per client</li>
 <li>Old connections are removed after timeout</li>
 </ul>
 </li>
 </ol>
<p class="help-note" style="margin-top: var(--space-4);">
 <strong>📌 Summary:</strong> WebSocket is <strong>completely optional</strong> and just an alternative method.
 All features work perfectly via HTTP REST API endpoints. WebSocket is only useful if you prefer
 real-time streaming over HTTP polling. For HuggingFace Spaces, HTTP endpoints are recommended
 as they are more reliable and work in all environments.
 </p>
<h3>Recommended Approach:</h3>
 <ul class="help-list">
 <li><strong>Primary Method (Recommended):</strong> Use HTTP REST API endpoints with polling (30s intervals)</li>
 <li><strong>Optional Alternative:</strong> Use WebSocket for real-time streaming (if available and preferred)</li>
 <li><strong>Automatic Fallback:</strong> Application automatically uses HTTP if WebSocket fails</li>
 <li><strong>No Configuration Needed:</strong> Both methods work out of the box - choose what you prefer</li>
 </ul>
 </section>
<section class="help-section" id="huggingface-data">
 <h2>8. Retrieving Data from HuggingFace</h2>
 <p>
 This application runs on Hugging Face Spaces and provides multiple ways to retrieve data
 from the backend API. All endpoints are accessible via HTTP REST API.
 </p>
<h3>Base URL Configuration:</h3>
 <ul class="help-list">
 <li><strong>Local Development</strong>: <code>http://localhost:7860</code></li>
 <li><strong>Hugging Face Space (Production)</strong>:
<code>https://huggingface.co/spaces/Really-amin/Datasourceforcryptocurrency-2</code>
 <br>API Base: <code>https://Really-amin-Datasourceforcryptocurrency-2.hf.space</code>
 </li>
 <li><strong>Custom Domain</strong>: Your configured domain URL</li>
 </ul>
 <p class="help-note">
 <strong>Note:</strong> The application automatically detects the environment and uses the correct base URL.
 When running on HuggingFace Spaces, it uses relative URLs for seamless operation.
 </p>
<h3>How to Retrieve Data:</h3>
<h4>1. Market Data & Prices:</h4>
 <pre class="code-block"><code>// JavaScript/TypeScript
// Using HuggingFace Space URL
const response = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/market?limit=100');
const data = await response.json();
// Returns: { success: true, items: [{symbol, name, price, change_24h, ...}] }
// Or use relative URL when on the same domain
const response = await fetch('/api/market?limit=100');
const data = await response.json();
// Python
import requests
response = requests.get('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/market?limit=100')
data = response.json()
</code></pre>
<h4>2. OHLCV/Candlestick Data:</h4>
 <pre class="code-block"><code>// Get OHLCV data for charting
const response = await fetch(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/ohlcv?symbol=BTC&timeframe=1h&limit=500'
);
const data = await response.json();
// Returns: { success: true, data: [{t, o, h, l, c, v}, ...] }
// Historical data
const historical = await fetch(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/historical?symbol=BTC&days=30'
);
</code></pre>
<h4>3. News Articles:</h4>
 <pre class="code-block"><code>const response = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/news?limit=20');
const data = await response.json();
// Returns: { success: true, articles: [{title, content, source, ...}] }
</code></pre>
<h4>4. Sentiment Analysis:</h4>
 <pre class="code-block"><code>// Global sentiment
const global = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/sentiment/global');
const globalData = await global.json();
// Analyze text
const analysis = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/sentiment/analyze', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 text: 'Bitcoin is going to the moon!',
 mode: 'crypto'
 })
});
const sentimentData = await analysis.json();
// Returns: { ok: true, label: 'bullish', score: 0.85, ... }
</code></pre>
<h4>5. HuggingFace Models Status:</h4>
 <pre class="code-block"><code>// Get all models
const models = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/models/list');
const modelsData = await models.json();
// Get model status
const status = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/models/status');
const statusData = await status.json();
// Returns: { models_loaded: 8, hf_mode: 'public', models: {...} }
// Get resources stats (includes HF models)
const resources = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/resources/stats/combined');
const resourcesData = await resources.json();
</code></pre>
<h4>6. Resources & Providers:</h4>
 <pre class="code-block"><code>// Get resources statistics
const stats = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/resources/stats');
const statsData = await stats.json();
// Returns: { success: true, data: { total_functional: 55, total_api_keys: 11, ... } }
// Get all functional APIs
const apis = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/resources/apis');
const apisData = await apis.json();
</code></pre>
<h4>7. AI Analysis & Trading Signals:</h4>
 <pre class="code-block"><code>// Get AI trading decision
const decision = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/ai/decision', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 timeframe: '1h'
 })
});
const decisionData = await decision.json();
// Get trading signals
const signals = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/signals');
const signalsData = await signals.json();
</code></pre>
<h3>Authentication (Optional):</h3>
 <p>
 Most endpoints work without authentication. For protected endpoints or HuggingFace model access,
 include the token in headers:
 </p>
 <pre class="code-block"><code>const response = await fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/protected-endpoint', {
 headers: {
 'Authorization': `Bearer ${HF_TOKEN}`,
 'Content-Type': 'application/json'
 }
});
</code></pre>
<h3>Error Handling:</h3>
 <ul class="help-list">
 <li><strong>404 Not Found</strong>: Endpoint doesn't exist - check URL and server routes</li>
 <li><strong>503 Service Unavailable</strong>: Backend service is down or rate limited</li>
 <li><strong>500 Internal Server Error</strong>: Server error - check logs</li>
 <li><strong>Timeout</strong>: Request took too long - increase timeout or check network</li>
 <li><strong>CORS Errors</strong>: Cross-origin requests blocked - ensure CORS is enabled</li>
 </ul>
<h3>Best Practices:</h3>
 <ul class="help-list">
 <li>Always check <code>response.ok</code> or status code before parsing JSON</li>
 <li>Use try-catch blocks for error handling</li>
 <li>Implement retry logic with exponential backoff for failed requests</li>
 <li>Cache responses when appropriate (OHLCV data, model status)</li>
 <li>Use WebSocket for real-time updates, HTTP for one-time queries</li>
 <li>Respect rate limits (1200 requests/minute for Binance, etc.)</li>
 </ul>
<h3>Example: Complete Data Retrieval Flow</h3>
 <pre class="code-block"><code>// Complete example: Fetch market data with error handling
// Using HuggingFace Space: https://Really-amin-Datasourceforcryptocurrency-2.hf.space
const API_BASE = 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space';
async function fetchMarketData(symbol = 'BTC') {
 try {
 // 1. Get current price
 const priceRes = await fetch(
 `${API_BASE}/api/market?limit=1&symbol=${symbol}`
 );
 if (!priceRes.ok) throw new Error(`Price API failed: ${priceRes.status}`);
 const priceData = await priceRes.json();
// 2. Get OHLCV for chart
 const ohlcvRes = await fetch(
 `${API_BASE}/api/ohlcv?symbol=${symbol}&timeframe=1h&limit=100`
 );
 if (!ohlcvRes.ok) throw new Error(`OHLCV API failed: ${ohlcvRes.status}`);
 const ohlcvData = await ohlcvRes.json();
// 3. Get sentiment
 const sentimentRes = await fetch(`${API_BASE}/api/sentiment/global`);
 const sentimentData = await sentimentRes.json();
// 4. Get AI analysis
 const aiRes = await fetch(`${API_BASE}/api/ai/decision`, {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({ symbol, timeframe: '1h' })
 });
 const aiData = await aiRes.json();
return {
 price: priceData.items[0],
 ohlcv: ohlcvData.data,
 sentiment: sentimentData,
 aiDecision: aiData
 };
 } catch (error) {
 console.error('Error fetching data:', error);
 // Fallback to cached data or show error message
 return null;
 }
}
</code></pre>
<p class="help-note">
 <strong>Tip:</strong> Use the <code>/docs</code> endpoint (Swagger UI) to explore all available
 endpoints, test requests, and see response schemas interactively.
 </p>
 </section>
<section class="help-section" id="unified-service-api">
 <h2>9. Unified Service API - Complete Endpoint Guide</h2>
 <p>
 The <strong>Unified Service API</strong> provides a single entry point for all cryptocurrency data needs.
 These endpoints are the primary way to access market data, prices, sentiment, whales, and blockchain information.
 </p>
<h3>Base URL:</h3>
 <p class="help-note">
 <strong>HuggingFace Space:</strong> <code>https://Really-amin-Datasourceforcryptocurrency-2.hf.space</code>
 <br>
 <strong>Local:</strong> <code>http://localhost:7860</code>
 </p>
<h3>Available Endpoints:</h3>
<h4>1. Exchange Rates (جفت ارزها)</h4>
 <pre class="code-block"><code>// Get single exchange rate
GET /api/service/rate?pair=BTC/USDT
// Response:
{
 "data": {
 "pair": "BTC/USDT",
 "price": 50234.12,
 "quote": "USDT",
 "ts": "2025-01-15T12:00:00Z"
 },
 "meta": {
 "source": "hf",
 "generated_at": "2025-01-15T12:00:00Z",
 "cache_ttl_seconds": 10
 }
}
// Get multiple rates (batch)
GET /api/service/rate/batch?pairs=BTC/USDT,ETH/USDT,BNB/USDT
// Get pair metadata
GET /api/service/pair/BTC-USDT
// or
GET /api/service/pair/BTC/USDT</code></pre>
<h4>2. Market Data</h4>
 <pre class="code-block"><code>// Market status
GET /api/service/market-status
// Top coins
GET /api/service/top?n=10 // or n=50
// Price history
GET /api/service/history?symbol=BTC&interval=60</code></pre>
<h4>3. Sentiment Analysis</h4>
 <pre class="code-block"><code>// Get sentiment for a symbol
GET /api/service/sentiment?symbol=BTC
// Analyze text
POST /api/sentiment/analyze
Content-Type: application/json
{
 "text": "Bitcoin is going to the moon! 🚀"
}
// Response:
{
 "label": "positive",
 "score": 0.85,
 "confidence": 0.92
}</code></pre>
<h4>4. Whale Tracking (نهنگ‌ها)</h4>
 <pre class="code-block"><code>// Get whale transactions
GET /api/service/whales?chain=ethereum&min_amount_usd=1000000&limit=50
// Response:
{
 "data": [
 {
 "from": "0x...",
 "to": "0x...",
 "amount": 100.5,
 "amount_usd": 1500000,
 "chain": "ethereum",
 "ts": "2025-01-15T12:00:00Z"
 }
 ],
 "meta": {
 "source": "whale_alert",
 "generated_at": "2025-01-15T12:00:00Z"
 }
}
// Alternative endpoint
GET /api/whales/transactions?limit=50&chain=ethereum
GET /api/whales/stats?hours=24</code></pre>
<h4>5. On-Chain Data (بلاکچین)</h4>
 <pre class="code-block"><code>// Get on-chain data for an address
GET /api/service/onchain?address=0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb&chain=ethereum&limit=50
// Get gas prices
GET /api/blockchain/gas?chain=ethereum
// Response:
{
 "slow": 20,
 "standard": 25,
 "fast": 30,
 "unit": "gwei"
}</code></pre>
<h4>6. Generic Query Endpoint</h4>
 <pre class="code-block"><code>// Universal query endpoint
POST /api/service/query
Content-Type: application/json
{
 "type": "rate", // or: history, sentiment, econ, whales, onchain, pair
 "payload": {
 "pair": "BTC/USDT"
 },
 "options": {
 "prefer_hf": true,
 "persist": true
 }
}</code></pre>
<h3>Complete Usage Examples:</h3>
<h4>JavaScript Example:</h4>
 <pre class="code-block"><code>// Complete client example
const API_BASE = 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space';
class CryptoAPIClient {
 constructor(baseUrl = API_BASE) {
 this.baseUrl = baseUrl;
 }
// Get exchange rate
 async getRate(pair) {
 const response = await fetch(`${this.baseUrl}/api/service/rate?pair=${pair}`);
 if (!response.ok) throw new Error(`HTTP ${response.status}`);
 return await response.json();
 }
// Get multiple rates
 async getBatchRates(pairs) {
 const pairsStr = Array.isArray(pairs) ? pairs.join(',') : pairs;
 const response = await fetch(`${this.baseUrl}/api/service/rate/batch?pairs=${pairsStr}`);
 if (!response.ok) throw new Error(`HTTP ${response.status}`);
 return await response.json();
 }
// Get whale transactions
 async getWhales(chain = 'ethereum', minAmount = 1000000) {
 const response = await fetch(
 `${this.baseUrl}/api/service/whales?chain=${chain}&min_amount_usd=${minAmount}&limit=50`
 );
 if (!response.ok) throw new Error(`HTTP ${response.status}`);
 return await response.json();
 }
// Analyze sentiment
 async analyzeSentiment(text) {
 const response = await fetch(`${this.baseUrl}/api/sentiment/analyze`, {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({ text })
 });
 if (!response.ok) throw new Error(`HTTP ${response.status}`);
 return await response.json();
 }
// Get on-chain data
 async getOnChainData(address, chain = 'ethereum') {
 const response = await fetch(
 `${this.baseUrl}/api/service/onchain?address=${address}&chain=${chain}&limit=50`
 );
 if (!response.ok) throw new Error(`HTTP ${response.status}`);
 return await response.json();
 }
}
// Usage
const client = new CryptoAPIClient();
// Get BTC price
const btcRate = await client.getRate('BTC/USDT');
console.log(`BTC Price: $${btcRate.data.price}`);
// Get multiple prices
const rates = await client.getBatchRates(['BTC/USDT', 'ETH/USDT', 'BNB/USDT']);
rates.data.forEach(rate => {
 console.log(`${rate.pair}: $${rate.price}`);
});
// Get whale transactions
const whales = await client.getWhales('ethereum', 1000000);
console.log(`Found ${whales.data.length} whale transactions`);
// Analyze sentiment
const sentiment = await client.analyzeSentiment('Bitcoin is bullish!');
console.log(`Sentiment: ${sentiment.label} (${sentiment.score})`);</code></pre>
<h4>Python Example:</h4>
 <pre class="code-block"><code>import requests
from typing import Optional, Dict, Any
class CryptoAPIClient:
 def __init__(self, base_url: str = "https://Really-amin-Datasourceforcryptocurrency-2.hf.space"):
 self.base_url = base_url
def get_rate(self, pair: str) -> Dict[str, Any]:
 """Get exchange rate for a pair"""
 url = f"{self.base_url}/api/service/rate"
 params = {"pair": pair}
 response = requests.get(url, params=params, timeout=30)
 response.raise_for_status()
 return response.json()
def get_batch_rates(self, pairs: list) -> Dict[str, Any]:
 """Get rates for multiple pairs"""
 url = f"{self.base_url}/api/service/rate/batch"
 params = {"pairs": ",".join(pairs)}
 response = requests.get(url, params=params, timeout=30)
 response.raise_for_status()
 return response.json()
def get_whales(self, chain: str = "ethereum", min_amount: int = 1000000) -> Dict[str, Any]:
 """Get whale transactions"""
 url = f"{self.base_url}/api/service/whales"
 params = {
 "chain": chain,
 "min_amount_usd": min_amount,
 "limit": 50
 }
 response = requests.get(url, params=params, timeout=30)
 response.raise_for_status()
 return response.json()
def analyze_sentiment(self, text: str) -> Dict[str, Any]:
 """Analyze sentiment"""
 url = f"{self.base_url}/api/sentiment/analyze"
 payload = {"text": text}
 response = requests.post(url, json=payload, timeout=30)
 response.raise_for_status()
 return response.json()
def get_onchain_data(self, address: str, chain: str = "ethereum") -> Dict[str, Any]:
 """Get on-chain data"""
 url = f"{self.baseUrl}/api/service/onchain"
 params = {
 "address": address,
 "chain": chain,
 "limit": 50
 }
 response = requests.get(url, params=params, timeout=30)
 response.raise_for_status()
 return response.json()
# Usage
client = CryptoAPIClient()
# Get BTC price
btc_rate = client.get_rate("BTC/USDT")
print(f"BTC Price: ${btc_rate['data']['price']}")
# Get multiple prices
rates = client.get_batch_rates(["BTC/USDT", "ETH/USDT", "BNB/USDT"])
for rate in rates['data']:
 print(f"{rate['pair']}: ${rate['price']}")
# Get whales
whales = client.get_whales("ethereum", 1000000)
print(f"Found {len(whales['data'])} whale transactions")
# Analyze sentiment
sentiment = client.analyze_sentiment("Bitcoin is bullish!")
print(f"Sentiment: {sentiment['label']} ({sentiment['score']})")</code></pre>
<h3>cURL Examples:</h3>
 <pre class="code-block"><code># Get BTC/USDT rate
curl "https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/rate?pair=BTC/USDT"
# Get multiple rates
curl "https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/rate/batch?pairs=BTC/USDT,ETH/USDT"
# Get whale transactions
curl "https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/whales?chain=ethereum&min_amount_usd=1000000"
# Analyze sentiment
curl -X POST "https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/sentiment/analyze" \
 -H "Content-Type: application/json" \
 -d '{"text": "Bitcoin is rising!"}'
# Get gas prices
curl "https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/blockchain/gas?chain=ethereum"</code></pre>
 </section>
<section class="help-section" id="common-errors">
 <h2>10. Common Errors & Solutions</h2>
 <p>
 This section covers the most common errors users encounter and how to fix them.
 </p>
<h3>Error 1: 404 Not Found - /api/service/* endpoints</h3>
 <div class="help-note" style="background: #fee; border-left: 4px solid #f44; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> Getting 404 errors when calling <code>/api/service/rate</code>, <code>/api/service/whales</code>, etc.
 <br><strong>Cause:</strong> Unified Service API router not loaded in server
 <br><strong>Solution:</strong> Ensure <code>app_unified.py</code> or <code>hf_unified_server.py</code> includes the router
 </div>
 <pre class="code-block"><code>// Check if router is loaded
GET /api/routers
// Should return:
{
 "routers": {
 "unified_service_api": "loaded" // ✅ Should be "loaded"
 }
}
// If "not_available", the router needs to be added to server file</code></pre>
 <p><strong>Fix:</strong> Make sure your server file includes:</p>
 <pre class="code-block"><code>from backend.routers.unified_service_api import router as unified_service_router
app.include_router(unified_service_router)</code></pre>
<h3>Error 2: 503 Service Unavailable - OHLC Data</h3>
 <div class="help-note" style="background: #fee; border-left: 4px solid #f44; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> <code>GET /api/market/ohlc</code> returns 503: "All OHLC sources failed"
 <br><strong>Cause:</strong> All OHLC providers (Binance, CoinGecko) are failing or rate limited
 <br><strong>Solution:</strong> Check API keys, wait for rate limit reset, or use alternative endpoints
 </div>
 <pre class="code-block"><code>// Alternative: Use market tickers instead
GET /api/market/tickers?limit=100
// Or use direct API
GET /api/v1/binance/klines?symbol=BTC&timeframe=1h&limit=100</code></pre>
<h3>Error 3: 500 Internal Server Error - HuggingFace Models</h3>
 <div class="help-note" style="background: #fee; border-left: 4px solid #f44; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> <code>POST /api/sentiment/analyze</code> or <code>POST /api/news/summarize</code> returns 500
 <br><strong>Error Message:</strong> "404 Not Found for url 'https://router.huggingface.co/models/...'"
 <br><strong>Cause:</strong> Model not found on HuggingFace Hub or requires authentication
 <br><strong>Solution:</strong> System uses fallback analysis, but you can configure alternative models
 </div>
 <pre class="code-block"><code>// Check model status
GET /api/models/status
// If models fail, system uses fallback lexical analysis
// You can also use direct sentiment endpoint
POST /api/v1/hf/sentiment
{
 "text": "Your text here",
 "model": "ProsusAI/finbert" // Alternative model
}</code></pre>
<h3>Error 4: Timeout Errors</h3>
 <div class="help-note" style="background: #fff3cd; border-left: 4px solid #ffc107; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> Requests timeout after 10-30 seconds
 <br><strong>Cause:</strong> HuggingFace Space may be slow or sleeping
 <br><strong>Solution:</strong> Increase timeout, add retry logic, or wake up the Space
 </div>
 <pre class="code-block"><code>// JavaScript - Increase timeout
const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), 60000); // 60 seconds
try {
 const response = await fetch(url, {
 signal: controller.signal,
 // ... other options
 });
 clearTimeout(timeoutId);
 // ... handle response
} catch (error) {
 clearTimeout(timeoutId);
 if (error.name === 'AbortError') {
 console.error('Request timeout');
 }
}
// Python - Increase timeout
import requests
response = requests.get(url, timeout=60) # 60 seconds</code></pre>
<h3>Error 5: CORS Errors</h3>
 <div class="help-note" style="background: #fff3cd; border-left: 4px solid #ffc107; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> "CORS policy blocked" errors in browser console
 <br><strong>Cause:</strong> CORS not configured properly
 <br><strong>Solution:</strong> Server should have CORS enabled (already configured), but check if you're using correct URL
 </div>
 <pre class="code-block"><code>// Make sure you're using the correct base URL
// ✅ Correct:
const API_BASE = 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space';
// ❌ Wrong (will cause CORS):
const API_BASE = 'http://localhost:7860'; // If running from different origin</code></pre>
<h3>Error 6: Empty Responses</h3>
 <div class="help-note" style="background: #fff3cd; border-left: 4px solid #ffc107; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> Endpoint returns 200 but data is empty
 <br><strong>Cause:</strong> No data available, provider failed, or cache issue
 <br><strong>Solution:</strong> Check response structure, try different endpoint, or wait for data refresh
 </div>
 <pre class="code-block"><code>// Check response structure
const response = await fetch('/api/news/latest?symbol=BTC&limit=10');
const data = await response.json();
// Response might be:
{
 "success": true,
 "news": [], // Empty array - no news available
 "meta": {
 "source": "newsapi",
 "total": 0
 }
}
// Try alternative endpoint
const altResponse = await fetch('/api/news?limit=10');</code></pre>
<h3>Error 7: Rate Limit Exceeded (429)</h3>
 <div class="help-note" style="background: #fff3cd; border-left: 4px solid #ffc107; padding: 1rem; margin: 1rem 0;">
 <strong>Problem:</strong> Getting 429 "Rate limit exceeded" errors
 <br><strong>Cause:</strong> Too many requests in short time
 <br><strong>Solution:</strong> Implement rate limiting, add delays, or use caching
 </div>
 <pre class="code-block"><code>// Check rate limit headers
const response = await fetch('/api/service/rate?pair=BTC/USDT');
console.log('Limit:', response.headers.get('X-RateLimit-Limit'));
console.log('Remaining:', response.headers.get('X-RateLimit-Remaining'));
console.log('Reset:', response.headers.get('X-RateLimit-Reset'));
// Implement client-side rate limiting
let lastRequest = 0;
const MIN_DELAY = 100; // 100ms between requests
async function rateLimitedFetch(url, options) {
 const now = Date.now();
 const timeSinceLastRequest = now - lastRequest;
if (timeSinceLastRequest < MIN_DELAY) {
 await new Promise(resolve => setTimeout(resolve, MIN_DELAY - timeSinceLastRequest));
 }
lastRequest = Date.now();
 return fetch(url, options);
}</code></pre>
<h3>Quick Diagnostic Checklist:</h3>
 <ol class="help-steps">
 <li><strong>Check Health:</strong>
 <code>GET /api/health</code> - Should return 200 with "healthy" status
 </li>
 <li><strong>Check Routers:</strong>
 <code>GET /api/routers</code> - Verify <code>unified_service_api</code> is "loaded"
 </li>
 <li><strong>Check Status:</strong>
 <code>GET /api/status</code> - See overall system status
 </li>
 <li><strong>Check Docs:</strong>
 Visit <code>/docs</code> - See all available endpoints
 </li>
 <li><strong>Test Simple Endpoint:</strong>
 <code>GET /api/market/tickers?limit=10</code> - Should work if system is running
 </li>
 <li><strong>Check Network Tab:</strong>
 Open browser DevTools → Network tab to see actual requests and responses
 </li>
 <li><strong>Check Server Logs:</strong>
 If on HuggingFace Space, check Space logs for errors
 </li>
 </ol>
 </section>
<section class="help-section" id="technical-analysis">
 <h2>11. Technical Analysis - Advanced Trading Tools</h2>
 <p>
 صفحه Technical Analysis ابزارهای پیشرفته تحلیل تکنیکال را با 5 حالت مختلف تحلیل ارائه می‌دهد.
 این صفحه شامل تشخیص الگوهای هارمونیک، تحلیل Elliott Wave، اندیکاتورهای پیشرفته و توصیه‌های معاملاتی است.
 </p>
<h3>5 حالت تحلیل (Analysis Modes):</h3>
<h4>1. Quick Technical Analysis (TA_QUICK)</h4>
 <p>تحلیل سریع روند کوتاه‌مدت و مومنتوم:</p>
 <pre class="code-block"><code>// JavaScript
const response = await fetch('/api/technical/ta-quick', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 timeframe: '4h',
 ohlcv: [...] // Array of OHLCV candles
 })
});
const data = await response.json();
// Returns: { success: true, trend: 'Bullish', rsi: 65.5, macd: {...}, support_resistance: {...}, entry_range: {...}, exit_range: {...} }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/ta-quick',
 json={
 'symbol': 'BTC',
 'timeframe': '4h',
 'ohlcv': [...] # List of OHLCV dictionaries
 }
)
data = response.json()</code></pre>
<h4>2. Fundamental Evaluation (FA_EVAL)</h4>
 <p>ارزیابی بنیادی پروژه و پتانسیل بلندمدت:</p>
 <pre class="code-block"><code>// JavaScript
const response = await fetch('/api/technical/fa-eval', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 whitepaper_summary: 'Bitcoin is a decentralized digital currency...',
 team_credibility_score: 9,
 token_utility_description: 'Store of value and digital gold...',
 total_supply_mechanism: 'Fixed supply of 21 million coins'
 })
});
const data = await response.json();
// Returns: { success: true, fundamental_score: 8.5, justification: '...', risks: [...], growth_potential: 'High' }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/fa-eval',
 json={
 'symbol': 'BTC',
 'whitepaper_summary': 'Bitcoin is a decentralized digital currency...',
 'team_credibility_score': 9,
 'token_utility_description': 'Store of value and digital gold...',
 'total_supply_mechanism': 'Fixed supply of 21 million coins'
 }
)
data = response.json()</code></pre>
<h4>3. On-Chain Network Health (ON_CHAIN_HEALTH)</h4>
 <p>تحلیل سلامت شبکه و رفتار نهنگ‌ها:</p>
 <pre class="code-block"><code>// JavaScript
const response = await fetch('/api/technical/onchain-health', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 active_addresses_7day_avg: 850000,
 exchange_net_flow_24h: -150000000, // Negative = outflow (bullish)
 mrvv_z_score: -0.5
 })
});
const data = await response.json();
// Returns: { success: true, network_phase: 'Accumulation', cycle_position: 'Bottom Zone', health_status: 'Healthy' }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/onchain-health',
 json={
 'symbol': 'BTC',
 'active_addresses_7day_avg': 850000,
 'exchange_net_flow_24h': -150000000,
 'mrvv_z_score': -0.5
 }
)
data = response.json()</code></pre>
<h4>4. Risk & Volatility Assessment (RISK_ASSESSMENT)</h4>
 <p>ارزیابی ریسک و نوسانات:</p>
 <pre class="code-block"><code>// JavaScript
const response = await fetch('/api/technical/risk-assessment', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 historical_daily_prices: [...], // Last 90 days
 max_drawdown_percentage: 25.5
 })
});
const data = await response.json();
// Returns: { success: true, risk_level: 'Medium', volatility: 0.045, max_drawdown: 25.5, justification: '...' }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/risk-assessment',
 json={
 'symbol': 'BTC',
 'historical_daily_prices': [...], # List of prices for last 90 days
 'max_drawdown_percentage': 25.5
 }
)
data = response.json()</code></pre>
<h4>5. Comprehensive Analysis (COMPREHENSIVE)</h4>
 <p>تحلیل جامع ترکیبی از همه حالت‌ها:</p>
 <pre class="code-block"><code>// JavaScript
const response = await fetch('/api/technical/comprehensive', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 timeframe: '4h',
 ohlcv: [...],
 fundamental_data: {...},
 onchain_data: {...}
 })
});
const data = await response.json();
// Returns: { success: true, recommendation: 'BUY', confidence: 0.85, executive_summary: '...', ta_score: 8, fa_score: 7.5, onchain_score: 9 }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/comprehensive',
 json={
 'symbol': 'BTC',
 'timeframe': '4h',
 'ohlcv': [...],
 'fundamental_data': {...},
 'onchain_data': {...}
 }
)
data = response.json()</code></pre>
<h3>API Endpoint اصلی - تحلیل تکنیکال جامع:</h3>
 <pre class="code-block"><code>// JavaScript - تحلیل تکنیکال کامل با همه اندیکاتورها و الگوها
const response = await fetch('/api/technical/analyze', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 timeframe: '4h',
 ohlcv: [
 { t: 1234567890000, o: 50000, h: 51000, l: 49500, c: 50500, v: 1000000 },
 // ... more candles
 ],
 indicators: {
 rsi: true,
 macd: true,
 volume: true,
 ichimoku: false,
 elliott: true
 },
 patterns: {
 gartley: true,
 butterfly: true,
 bat: true,
 crab: true,
 candlestick: true
 }
 })
});
const analysis = await response.json();
// Returns: {
// success: true,
// support_resistance: { support: 49500, resistance: 51000, levels: [...] },
// harmonic_patterns: [{ type: 'Gartley', pattern: 'Bullish', confidence: 0.75 }],
// elliott_wave: { wave_count: 5, current_wave: 3, direction: 'up' },
// candlestick_patterns: [{ type: 'Hammer', signal: 'Bullish' }],
// indicators: { rsi: 65.5, macd: {...}, sma20: 50200, sma50: 49800 },
// signals: [{ type: 'BUY', source: 'RSI Oversold', strength: 'Strong' }],
// trade_recommendations: { entry: 50000, tp: 52000, sl: 49000 }
// }
// Python
import requests
response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/analyze',
 json={
 'symbol': 'BTC',
 'timeframe': '4h',
 'ohlcv': [
 {'t': 1234567890000, 'o': 50000, 'h': 51000, 'l': 49500, 'c': 50500, 'v': 1000000},
 # ... more candles
 ],
 'indicators': {
 'rsi': True,
 'macd': True,
 'volume': True,
 'ichimoku': False,
 'elliott': True
 },
 'patterns': {
 'gartley': True,
 'butterfly': True,
 'bat': True,
 'crab': True,
 'candlestick': True
 }
 }
)
analysis = response.json()</code></pre>
<h3>دریافت داده‌های OHLCV برای تحلیل:</h3>
 <pre class="code-block"><code>// JavaScript - دریافت داده‌های OHLCV
const ohlcvResponse = await fetch('/api/ohlcv?symbol=BTC&timeframe=4h&limit=200');
const ohlcvData = await ohlcvResponse.json();
// Returns: { success: true, data: [{ t, o, h, l, c, v }, ...] }
// استفاده از داده‌ها در تحلیل
const analysisResponse = await fetch('/api/technical/ta-quick', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: 'BTC',
 timeframe: '4h',
 ohlcv: ohlcvData.data // استفاده از داده‌های دریافت شده
 })
});
// Python
import requests
# دریافت داده‌های OHLCV
ohlcv_response = requests.get(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/ohlcv',
 params={'symbol': 'BTC', 'timeframe': '4h', 'limit': 200}
)
ohlcv_data = ohlcv_response.json()
# استفاده در تحلیل
analysis_response = requests.post(
 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/technical/ta-quick',
 json={
 'symbol': 'BTC',
 'timeframe': '4h',
 'ohlcv': ohlcv_data['data']
 }
)
analysis = analysis_response.json()</code></pre>
<h3>مثال کامل: تحلیل جامع یک ارز:</h3>
 <pre class="code-block"><code>// JavaScript - مثال کامل
async function analyzeCrypto(symbol = 'BTC') {
 const API_BASE = window.location.origin; // یا URL کامل HuggingFace Space
try {
 // 1. دریافت داده‌های OHLCV
 const ohlcvRes = await fetch(`${API_BASE}/api/ohlcv?symbol=${symbol}&timeframe=4h&limit=200`);
 if (!ohlcvRes.ok) throw new Error('Failed to fetch OHLCV');
 const ohlcvData = await ohlcvRes.json();
// 2. تحلیل تکنیکال سریع
 const taQuickRes = await fetch(`${API_BASE}/api/technical/ta-quick`, {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: symbol,
 timeframe: '4h',
 ohlcv: ohlcvData.data
 })
 });
 const taQuick = await taQuickRes.json();
// 3. تحلیل بنیادی (اگر داده‌ها موجود باشد)
 const faRes = await fetch(`${API_BASE}/api/technical/fa-eval`, {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: symbol,
 whitepaper_summary: '...', // داده‌های پروژه
 team_credibility_score: 8,
 token_utility_description: '...',
 total_supply_mechanism: '...'
 })
 });
 const faData = await faRes.json();
// 4. تحلیل جامع
 const comprehensiveRes = await fetch(`${API_BASE}/api/technical/comprehensive`, {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 symbol: symbol,
 timeframe: '4h',
 ohlcv: ohlcvData.data,
 fundamental_data: faData,
 onchain_data: {} // اگر داده‌های on-chain موجود باشد
 })
 });
 const comprehensive = await comprehensiveRes.json();
return {
 taQuick: taQuick,
 fundamental: faData,
 comprehensive: comprehensive
 };
 } catch (error) {
 console.error('Analysis error:', error);
 return null;
 }
}
// استفاده
analyzeCrypto('BTC').then(results => {
 console.log('TA Quick:', results.taQuick);
 console.log('Fundamental:', results.fundamental);
 console.log('Comprehensive:', results.comprehensive);
 console.log('Recommendation:', results.comprehensive.recommendation);
});
// Python
import requests
def analyze_crypto(symbol='BTC'):
 API_BASE = 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space'
try:
 # 1. دریافت داده‌های OHLCV
 ohlcv_res = requests.get(
 f'{API_BASE}/api/ohlcv',
 params={'symbol': symbol, 'timeframe': '4h', 'limit': 200}
 )
 ohlcv_data = ohlcv_res.json()
# 2. تحلیل تکنیکال سریع
 ta_quick_res = requests.post(
 f'{API_BASE}/api/technical/ta-quick',
 json={
 'symbol': symbol,
 'timeframe': '4h',
 'ohlcv': ohlcv_data['data']
 }
 )
 ta_quick = ta_quick_res.json()
# 3. تحلیل جامع
 comprehensive_res = requests.post(
 f'{API_BASE}/api/technical/comprehensive',
 json={
 'symbol': symbol,
 'timeframe': '4h',
 'ohlcv': ohlcv_data['data']
 }
 )
 comprehensive = comprehensive_res.json()
return {
 'ta_quick': ta_quick,
 'comprehensive': comprehensive
 }
 except Exception as e:
 print(f'Analysis error: {e}')
 return None
# استفاده
results = analyze_crypto('BTC')
print(f"Recommendation: {results['comprehensive']['recommendation']}")</code></pre>
<h3>اندیکاتورها و الگوهای پشتیبانی شده:</h3>
 <ul class="help-list">
 <li><strong>اندیکاتورها:</strong> RSI (14), MACD, Volume, Ichimoku Cloud, Elliott Wave, SMA 20/50</li>
 <li><strong>الگوهای هارمونیک:</strong> Gartley, Butterfly, Bat, Crab</li>
 <li><strong>الگوهای کندل استیک:</strong> Doji, Hammer, Engulfing (Bullish/Bearish)</li>
 <li><strong>سطوح Support/Resistance:</strong> محاسبه خودکار بر اساس Pivot Points</li>
 <li><strong>توصیه‌های معاملاتی:</strong> Entry, Take Profit (TP), Stop Loss (SL)</li>
 </ul>
<h3>نکات مهم:</h3>
 <ul class="help-list">
 <li>برای تحلیل دقیق‌تر، حداقل 100-200 کندل داده نیاز است</li>
 <li>Timeframe پیشنهادی برای TA_QUICK: 4h</li>
 <li>سیستم به صورت خودکار از محاسبات محلی استفاده می‌کند اگر API در دسترس نباشد</li>
 <li>همه endpointها از retry logic با exponential backoff استفاده می‌کنند</li>
 <li>برای تحلیل جامع، داده‌های TA، FA و On-Chain را ترکیب کنید</li>
 </ul>
<h3>Error Handling:</h3>
 <pre class="code-block"><code>// JavaScript - مدیریت خطا با retry
async function fetchWithRetry(url, options, maxRetries = 3) {
 for (let i = 0; i < maxRetries; i++) {
 try {
 const response = await fetch(url, options);
 if (response.ok) return await response.json();
if (i < maxRetries - 1) {
 await new Promise(resolve => setTimeout(resolve, 1000 * (i + 1)));
 continue;
 }
throw new Error(`HTTP ${response.status}`);
 } catch (error) {
 if (i < maxRetries - 1) {
 await new Promise(resolve => setTimeout(resolve, 1000 * (i + 1)));
 continue;
 }
 throw error;
 }
 }
}
// استفاده
try {
 const analysis = await fetchWithRetry('/api/technical/ta-quick', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({ symbol: 'BTC', timeframe: '4h', ohlcv: [...] })
 });
 console.log('Analysis:', analysis);
} catch (error) {
 console.error('Analysis failed after retries:', error);
 // استفاده از fallback calculations
}</code></pre>
<p class="help-note">
 <strong>💡 نکته:</strong> برای مشاهده تمام endpointها و تست آنها، به <code>/docs</code> (Swagger UI) مراجعه کنید.
 همچنین می‌توانید از صفحه Technical Analysis در UI استفاده کنید که همه این تحلیل‌ها را به صورت بصری نمایش می‌دهد.
 </p>
 </section>
<section class="help-section" id="quick-start">
 <h2>12. Quick Start Guide for Average Users</h2>
 <p>
 This section provides simple, step-by-step examples for average users who want to quickly start using the API.
 </p>
<h3>Step 1: Get a Single Price</h3>
 <pre class="code-block"><code>// Simplest example - Get BTC price
fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/rate?pair=BTC/USDT')
 .then(r => r.json())
 .then(data => {
 console.log(`BTC Price: $${data.data.price}`);
 })
 .catch(err => console.error('Error:', err));</code></pre>
<h3>Step 2: Get Multiple Prices</h3>
 <pre class="code-block"><code>// Get prices for multiple coins
fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/rate/batch?pairs=BTC/USDT,ETH/USDT,BNB/USDT')
 .then(r => r.json())
 .then(data => {
 data.data.forEach(rate => {
 console.log(`${rate.pair}: $${rate.price}`);
 });
 });</code></pre>
<h3>Step 3: Get Latest News</h3>
 <pre class="code-block"><code>// Get latest crypto news
fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/news/latest?symbol=BTC&limit=5')
 .then(r => r.json())
 .then(data => {
 data.news.forEach(article => {
 console.log(`- ${article.title}`);
 console.log(` Source: ${article.source}`);
 console.log(` URL: ${article.url}\n`);
 });
 });</code></pre>
<h3>Step 4: Get Whale Transactions</h3>
 <pre class="code-block"><code>// Get large transactions (whales)
fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/service/whales?chain=ethereum&min_amount_usd=1000000&limit=20')
 .then(r => r.json())
 .then(data => {
 console.log(`Found ${data.data.length} whale transactions:`);
 data.data.forEach(tx => {
 console.log(`From: ${tx.from}`);
 console.log(`To: ${tx.to}`);
 console.log(`Amount: $${tx.amount_usd.toLocaleString()}\n`);
 });
 });</code></pre>
<h3>Step 5: Analyze Sentiment</h3>
 <pre class="code-block"><code>// Analyze text sentiment
fetch('https://Really-amin-Datasourceforcryptocurrency-2.hf.space/api/sentiment/analyze', {
 method: 'POST',
 headers: { 'Content-Type': 'application/json' },
 body: JSON.stringify({
 text: 'Bitcoin is going to the moon! 🚀'
 })
})
 .then(r => r.json())
 .then(data => {
 console.log(`Sentiment: ${data.label}`);
 console.log(`Score: ${data.score}`);
 console.log(`Confidence: ${data.confidence || 'N/A'}`);
 });</code></pre>
<h3>Complete Working Example:</h3>
 <pre class="code-block"><code>&lt;!DOCTYPE html&gt;
&lt;html&gt;
&lt;head&gt;
 &lt;title&gt;Crypto API Example&lt;/title&gt;
&lt;/head&gt;
&lt;body&gt;
 &lt;h1&gt;Crypto Data&lt;/h1&gt;
 &lt;div id="prices"&gt;Loading...&lt;/div&gt;
 &lt;div id="news"&gt;Loading...&lt;/div&gt;
&lt;script&gt;
 const API_BASE = 'https://Really-amin-Datasourceforcryptocurrency-2.hf.space';
// Get prices
 async function loadPrices() {
 try {
 const response = await fetch(`${API_BASE}/api/service/rate/batch?pairs=BTC/USDT,ETH/USDT,BNB/USDT`);
 const data = await response.json();
const pricesHtml = data.data.map(rate =>
`&lt;p&gt;&lt;strong&gt;${rate.pair}:&lt;/strong&gt; $${rate.price.toFixed(2)}&lt;/p&gt;`
 ).join('');
document.getElementById('prices').innerHTML = pricesHtml;
 } catch (error) {
 document.getElementById('prices').innerHTML = `Error: ${error.message}`;
 }
 }
// Get news
 async function loadNews() {
 try {
 const response = await fetch(`${API_BASE}/api/news/latest?symbol=BTC&limit=5`);
 const data = await response.json();
const newsHtml = data.news.map(article =>
`&lt;div&gt;
 &lt;h3&gt;${article.title}&lt;/h3&gt;
 &lt;p&gt;${article.summary}&lt;/p&gt;
 &lt;a href="${article.url}" target="_blank"&gt;Read more&lt;/a&gt;
 &lt;/div&gt;`
 ).join('');
document.getElementById('news').innerHTML = newsHtml;
 } catch (error) {
 document.getElementById('news').innerHTML = `Error: ${error.message}`;
 }
 }
// Load data on page load
 loadPrices();
 loadNews();
// Refresh every 30 seconds
 setInterval(() => {
 loadPrices();
 loadNews();
 }, 30000);
 &lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;</code></pre>
<h3>Python Quick Start:</h3>
 <pre class="code-block"><code>import requests
API_BASE = "https://Really-amin-Datasourceforcryptocurrency-2.hf.space"
# Get BTC price
response = requests.get(f"{API_BASE}/api/service/rate?pair=BTC/USDT")
data = response.json()
print(f"BTC Price: ${data['data']['price']}")
# Get multiple prices
response = requests.get(f"{API_BASE}/api/service/rate/batch?pairs=BTC/USDT,ETH/USDT")
data = response.json()
for rate in data['data']:
 print(f"{rate['pair']}: ${rate['price']}")
# Get news
response = requests.get(f"{API_BASE}/api/news/latest?symbol=BTC&limit=5")
data = response.json()
for article in data['news']:
 print(f"- {article['title']}")
# Analyze sentiment
response = requests.post(
 f"{API_BASE}/api/sentiment/analyze",
 json={"text": "Bitcoin is bullish!"}
)
data = response.json()
print(f"Sentiment: {data['label']} ({data['score']})")</code></pre>
 </section>
<section class="help-section" id="meta">
 <h2>13. Summary</h2>
 <p>
 This system provides real-time market data, global sentiment, model management and
 analysis tools. Ensure the correct backend server is running with valid environment
 variables, then use the Dashboard, Models and Providers pages to explore data and
 run analyses from the UI.
 </p>
<h3>Available API Endpoints:</h3>
 <ul class="help-list">
 <li><strong>Unified Service API:</strong> <code>/api/service/*</code> - Primary endpoints for all data needs
 <ul>
 <li><code>/api/service/rate</code> - Exchange rates</li>
 <li><code>/api/service/whales</code> - Whale transactions</li>
 <li><code>/api/service/sentiment</code> - Sentiment analysis</li>
 <li><code>/api/service/onchain</code> - Blockchain data</li>
 <li><code>/api/service/market-status</code> - Market overview</li>
 </ul>
 </li>
 <li><strong>Market Data:</strong> <code>/api/market/*</code> - Prices, tickers, OHLCV</li>
 <li><strong>News:</strong> <code>/api/news/*</code> - Crypto news articles</li>
 <li><strong>Sentiment:</strong> <code>/api/sentiment/*</code> - Sentiment analysis</li>
 <li><strong>Blockchain:</strong> <code>/api/blockchain/*</code> - Gas prices, transactions</li>
 <li><strong>AI Models:</strong> <code>/api/models/*</code> - Model management</li>
 <li><strong>Technical Analysis:</strong> <code>/api/technical/*</code> - Advanced trading analysis</li>
 </ul>
<p>
 <strong>Key Points:</strong>
 </p>
 <ul class="help-list">
 <li>All data is accessible via HTTP REST API endpoints</li>
 <li><strong>Unified Service API</strong> (<code>/api/service/*</code>) is the primary way to access data</li>
 <li>WebSocket is optional for real-time updates (automatic fallback to HTTP polling)</li>
 <li>55 functional resources with automatic fallback system</li>
 <li>11 active API keys for enhanced features</li>
 <li>Comprehensive error handling and retry mechanisms</li>
 <li>Full documentation available at <code>/docs</code> endpoint</li>
 <li>Check <code>/api/routers</code> to see which endpoints are available</li>
 <li>Use <code>/api/health</code> to verify system status</li>
 </ul>
<h3>Common Use Cases:</h3>
 <ul class="help-list">
 <li><strong>Get Prices:</strong> Use <code>/api/service/rate</code> or <code>/api/market/tickers</code></li>
 <li><strong>Get News:</strong> Use <code>/api/news/latest</code> or <code>/api/news</code></li>
 <li><strong>Track Whales:</strong> Use <code>/api/service/whales</code></li>
 <li><strong>Analyze Sentiment:</strong> Use <code>/api/sentiment/analyze</code> or <code>/api/service/sentiment</code></li>
 <li><strong>Get Blockchain Data:</strong> Use <code>/api/service/onchain</code> or <code>/api/blockchain/gas</code></li>
 <li><strong>Technical Analysis:</strong> Use <code>/api/technical/analyze</code> or other TA endpoints</li>
 </ul>
<h3>If You Encounter Errors:</h3>
 <ol class="help-steps">
 <li>Check <code>/api/health</code> - System should be "healthy"</li>
 <li>Check <code>/api/routers</code> - Verify endpoints are loaded</li>
 <li>Check <code>/docs</code> - See all available endpoints</li>
 <li>See <strong>Section 10: Common Errors & Solutions</strong> for specific fixes</li>
 <li>Check browser DevTools → Network tab for actual error messages</li>
 <li>Verify Space is running and not sleeping</li>
 </ol>
<h3>Getting Help:</h3>
 <ul class="help-list">
 <li><strong>API Documentation:</strong> Visit <code>/docs</code> for interactive Swagger UI</li>
 <li><strong>OpenAPI Spec:</strong> <code>/openapi.json</code> for complete API specification</li>
 <li><strong>Router Status:</strong> <code>/api/routers</code> to see loaded endpoints</li>
 <li><strong>System Status:</strong> <code>/api/status</code> for detailed system information</li>
 <li><strong>This Help Page:</strong> Complete guide with examples and troubleshooting</li>
 </ul>
 </section>
 </div>
 </main>
 </div>
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