day9_Récupération de mises à jour de cryptomonnaie

• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
• •Peut nécessiter les informations d'identification d'authentification de l'API cible

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      "createdAt": "2025-04-29T10:41:14.716Z",
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      "name": "Récupérer les données de cryptomonnaies",
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        "url": "https://api.coingecko.com/api/v3/coins/markets?vs_currency=usd&order=market_cap_desc&per_page=10&page=1&sparkline=false&price_change_percentage=24h,7d,30d",
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        "functionCode": "// Calculate a volatility score based on price changes\nconst item = $input.item.json;\n\n// Extract price change percentages\nconst priceChange24h = item.price_change_percentage_24h || 0;\nconst priceChange7d = item.price_change_percentage_7d_in_currency || 0;\nconst priceChange30d = item.price_change_percentage_30d_in_currency || 0;\n\n// Calculate absolute values to measure volatility regardless of direction\nconst absChange24h = Math.abs(priceChange24h);\nconst absChange7d = Math.abs(priceChange7d);\nconst absChange30d = Math.abs(priceChange30d);\n\n// Calculate a weighted volatility score (more weight to recent changes)\nconst volatilityScore = (absChange24h * 0.5) + (absChange7d * 0.3) + (absChange30d * 0.2);\n\n// Calculate market cap to volume ratio (higher means less liquid/more volatile)\nconst marketCapToVolumeRatio = item.market_cap / (item.total_volume || 1);\n\n// Calculate price to ATH ratio (close to 1 means near all-time high)\nconst priceToAthRatio = item.current_price / (item.ath || item.current_price);\n\n// Calculate a composite market score\nconst marketScore = (\n  (volatilityScore * 0.4) + \n  (Math.min(marketCapToVolumeRatio, 10) * 0.3) + \n  ((1 - priceToAthRatio) * 30) // Invert so coins further from ATH get higher scores\n);\n\n// Add calculated metrics to the item\nitem.volatilityScore = parseFloat(volatilityScore.toFixed(2));\nitem.marketCapToVolumeRatio = parseFloat(marketCapToVolumeRatio.toFixed(2));\nitem.priceToAthRatio = parseFloat(priceToAthRatio.toFixed(4));\nitem.marketScore = parseFloat(marketScore.toFixed(2));\n\n// Add a timestamp for the analysis\nitem.analyzedAt = new Date().toISOString();\n\nreturn {json: item};"
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              "value": "Consider buying on continued strength above resistance levels. Set stop loss at recent support."
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              "value": "Consider reducing exposure or implementing hedging strategies. Watch for oversold conditions."
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              "value": "Market is consolidating. Watch for breakout signals in either direction."
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              "value": "Unknown Risk"
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              "value": "={{ $json.investmentStrategy }} Risk profile is unclear - use conservative position sizing until more data is available."
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      "name": "Formater l'analyse finale",
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      "position": [
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      "parameters": {
        "functionCode": "// Create a formatted summary for each coin\nconst item = $input.item.json;\n\n// Format dollar amounts nicely\nconst formatCurrency = (value) => {\n  return new Intl.NumberFormat('en-US', {\n    style: 'currency',\n    currency: 'USD',\n    minimumFractionDigits: 2,\n    maximumFractionDigits: 2\n  }).format(value);\n};\n\n// Format percentages nicely\nconst formatPercent = (value) => {\n  return `${value > 0 ? '+' : ''}${value.toFixed(2)}%`;\n};\n\n// Create a detailed analysis report\nconst analysisReport = {\n  coin: item.name,\n  symbol: item.symbol.toUpperCase(),\n  currentPrice: formatCurrency(item.current_price),\n  marketCap: formatCurrency(item.market_cap),\n  volume24h: formatCurrency(item.total_volume),\n  priceChanges: {\n    \"24h\": formatPercent(item.price_change_percentage_24h),\n    \"7d\": formatPercent(item.price_change_percentage_7d_in_currency),\n    \"30d\": formatPercent(item.price_change_percentage_30d_in_currency)\n  },\n  marketMetrics: {\n    volatilityScore: item.volatilityScore,\n    marketCapToVolumeRatio: item.marketCapToVolumeRatio,\n    priceToAthRatio: item.priceToAthRatio,\n    marketScore: item.marketScore\n  },\n  analysis: {\n    priceAction: item.priceAction,\n    signal: item.signal,\n    riskRating: item.riskRating,\n    recommendation: item.recommendation,\n    investmentStrategy: item.investmentStrategy\n  },\n  timestamp: item.analyzedAt\n};\n\n// Generate a natural language summary\nconst summary = `\n## ${item.name} (${item.symbol.toUpperCase()}) Analysis\n\nCurrent Price: ${formatCurrency(item.current_price)} (${formatPercent(item.price_change_percentage_24h)} 24h)\\n\\n\n\nMarket Signal: **${item.signal}** - *${item.priceAction}*\nRisk Rating: **${item.riskRating}**\\n\\n\n\n**Recommendation:**\n${item.recommendation}\n\n**Investment Strategy:**\n${item.investmentStrategy}\n\n---\n*Analysis based on volatility score of ${item.volatilityScore} and market score of ${item.marketScore}*\n`;\n\n// Return both structured data and a human-readable summary\nreturn {\n  json: {\n    ...item,\n    analysisReport,\n    summary\n  }\n};"
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      "name": "Collecter toutes les analyses",
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      "id": "a4de8078-7f49-4b22-a11a-a2efabfa16b1",
      "name": "Générer le résumé du portefeuille",
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        "functionCode": "// Create a portfolio summary based on all coin analyses\nconst allCoins = $input.all();\n\n// Extract all analyzed coins\nconst analyzedCoins = allCoins.map(coin => coin.json);\n\n// Count signals by type\nconst signalCounts = {\n  BUY: 0,\n  SELL: 0,\n  HOLD: 0,\n  NEUTRAL: 0\n};\n\n// Count risk ratings\nconst riskCounts = {\n  \"High Risk\": 0,\n  \"Medium Risk\": 0,\n  \"Low Risk\": 0,\n  \"Unknown Risk\": 0\n};\n\n// Calculate portfolio metrics\nanalyzedCoins.forEach(coin => {\n  // Count signals\n  if (coin.signal) {\n    signalCounts[coin.signal] = (signalCounts[coin.signal] || 0) + 1;\n  }\n\n  // Count risk ratings\n  if (coin.riskRating) {\n    riskCounts[coin.riskRating] = (riskCounts[coin.riskRating] || 0) + 1;\n  }\n});\n\n// Sort coins by market score (highest first)\nconst sortedCoins = [...analyzedCoins].sort((a, b) => b.marketScore - a.marketScore);\n\n// Get top recommendation\nconst topOpportunity = sortedCoins[0];\n\n// Generate portfolio summary markdown\nconst portfolioSummary = `# Cryptocurrency Market Analysis\n\n## Market Overview\n**Analyzed Coins:** ${analyzedCoins.length}  \n**Buy Signals:** ${signalCounts.BUY}  \n**Sell Signals:** ${signalCounts.SELL}  \n**Hold Signals:** ${signalCounts.HOLD}  \n**Neutral Signals:** ${signalCounts.NEUTRAL}  \n\n## Risk Distribution\n**High Risk Assets:** ${riskCounts[\"High Risk\"]}  \n**Medium Risk Assets:** ${riskCounts[\"Medium Risk\"]}  \n**Low Risk Assets:** ${riskCounts[\"Low Risk\"]}  \n\n## Top Opportunity  \n${topOpportunity ? `**${topOpportunity.name} (${topOpportunity.symbol.toUpperCase()})**  \n${topOpportunity.summary}` : \"No opportunities found\"}\n\n## Detailed Coin Analyses  \n${sortedCoins.map(coin => `**${coin.name} (${coin.symbol})**  \n${coin.summary}`).join('\\n\\n')}\n\n*Analysis generated on ${new Date().toLocaleString()}*`;\n\nreturn [\n  {\n    json: {\n      portfolioSummary,\n      individualAnalyses: analyzedCoins.map(coin => coin.analysisReport),\n      marketSignals: signalCounts,\n      riskDistribution: riskCounts,\n      timestamp: new Date().toISOString()\n    }\n  }\n];\n"
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        "value1": "={{ $json.marketScore }}",
        "fallbackOutput": 3
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      "position": [
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      "webhookId": "31941fd9-9fd5-4fab-a1b9-9c347e26f5c9",
      "parameters": {
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        "content": "## Categorize and set the rating of coin"
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      "parameters": {
        "content": "## This workflow aims to"
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